Professor George Kuczera

Professor

School of Engineering (Environmental Engineering)

Career Summary

Biography

Professor Kuczera is recognised as a world authority on the theory and application of Bayesian statistical methods in hydrology and water resources. His research addresses the fundamental problem in application of hydrology to water engineering, namely limited predictive ability arising from large errors in data and model errors arising from limited understanding of dynamics and complexity. His work has focused on developing methods that make the best use of limited information and quantifying uncertainty to inform the decision making process. In recent years he and his team have developed BATEA, Bayesian total error analysis, which provides a comprehensive treatment of all major sources of uncertainty affecting hydrologic prediction.

He has made significant contributions in the area of water resources systems analysis. In recent years his team has developed decision support systems for urban water resource planning that use multi-objective optimization to identify optimal trade-off portfolios of capital and operational options.  His work on integrated urban water management seeks to maximize community benefits by integrating water supply, storm water and waste water at small to large scales.

His early industry experience and subsequent close association have influenced his research program. A feature of his work has been a commitment to develop his work to the point at which it can be taken up by the higher end of the industry. Achievements of significant practical value include the following:

  • Development of WATHNET5, a generalized simulation and optimization model of urban water supply systems to assist in drought security planning: WATHNET5 introduces new optimization capabilities to the urban water sector and is presently used by several major urban water agencies.

  • Development of flood frequency guidelines and software: The publication, Australian Rainfall and Runoff, is the industry standard for flood estimation. Kuczera undertook a major revision of the flood frequency guidelines and produced supporting software which has been commercially released asTUFLOW FLIKE.

  • Kuczera and his team developed a stochastic rainfall modelling framework to assist flood risk design. It can produce 6-minute rainfall time series of arbitrary length at virtually any location with a daily rainfall record. The developed software DRIP has been released for industry use.

Research Expertise
Hydrologic Models: Identification, Calibration and Prediction ¿ Use of Bayesian statistical methods to describe parameter uncertainty and to characterise different sources of error. ¿ Understanding and quantifying the predictive accuracy of hydrologic models. Water Supply Management ¿ Multi-criteria optimization of water resource system infrastructure and operation ¿ Simulation of urban water cycle at different time and space scales. ¿ Drought security analysis Flood and Drought Risk Assessment ¿ Flood frequency analysis ¿ Stochastic rainfall modelling (point and space-time models) ¿ Stochastic streamflow modelling especially using hidden Markov approaches.

Teaching Expertise
Have developed and taught courses in: 1) Hydrology

2) Probability and statistics

3) Water engineering: theory and practice Have taught: 1) Computer programming

Administrative Expertise
1) Head of discipline of civil, surveying and environmental engineering

2) Program convenor (civil engineering, environmental engineering)

3) Various ad hoc University admin responsibilities including selection, promotion review, research committees



Qualifications

  • PhD, Harvard University
  • Bachelor of Engineering, University of Melbourne
  • Master of Engineering Science, University of Melbourne

Keywords

  • Bayesian
  • Civil Engineering

Fields of Research

Code Description Percentage
090599 Civil Engineering not elsewhere classified 40
090799 Environmental Engineering not elsewhere classified 40
040699 Physical Geography and Environmental Geoscience not elsewhere classified 20

Professional Experience

UON Appointment

Title Organisation / Department
Professor University of Newcastle
School of Engineering
Australia

Academic appointment

Dates Title Organisation / Department
1/06/2012 -  Membership - Independent Water Advisory Panel NSW Government
Australia
1/01/2008 -  Membership - Technical review committee, Australian Rainfall and Runoff Engineers Australia
1/01/2006 - 1/06/2011 Technical leader - Decision Science Group eWater CRC
Australia
1/01/2005 -  Editorial Board - Hydrology Research Hydrrology Research
Australia
1/07/2004 - 1/06/2006 Chairman National committee on water engineering, Engineers Australia
Australia
1/01/2000 - 31/12/2008 Editorial Board - Journal of Hydrology Journal of Hydrology
Australia
1/01/1995 - 31/12/2013 Editorial Board - National committee on water engineering, Engineers Australia National committee on water engineering, Engineers Australia
Australia

Awards

Distinction

Year Award
2000 Warren Medal
Institution of Engineers Australia (IEAust)
1999 G.N Alexander Medal
Institution of Engineers Australia (IEAust)

Recognition

Year Award
2014 WEB of Science citation (April 2014 ) h-value 28 Ave citations/paper 24.4
Thomson Reuters
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (4 outputs)

Year Citation Altmetrics Link
2015 Mortazavi M, Kuczera G, Kiem AS, Cui L, Henley B, Berghout B, Turner E, 'Robust optimization of urban drought security for an uncertain climate', Applied Studies in Climate Adaptation, Wiley-Blackwell, Oxford, UK 342-353 (2015) [B1]
Co-authors Anthony Kiem
2003 Kavetski DN, Franks SW, Kuczera GA, 'Confronting Input Uncertainty In Environmental Modelling', Calibration Of Watershed Models, AGU Books Board, Washington, DC, United States 49-68 (2003) [B1]
2003 Willgoose GR, Hancock GR, Kuczera GA, 'A Framework For The Quantitative Testing Of Landform Evolution Models', Prediction In Geomorphology, American Geophysical Union, Washington DC, United States 195-216 (2003) [B1]
Co-authors Garry Willgoose, Greg Hancock
2002 Kuczera GA, Franks SW, 'Testing Hydrologic Models: Fortification Or Falsification?', Mathematical Models Of Large Watershed Hydrology, Water Resources Publications, LLC, USA 141-186 (2002) [B1]
Show 1 more chapter

Journal article (115 outputs)

Year Citation Altmetrics Link
2016 Jaskierniak D, Kuczera G, Benyon R, 'Predicting long-term streamflow variability in moist eucalypt forests using forest growth models and a sapwood area index', Water Resources Research, 52 3052-3067 (2016)

© 2016. American Geophysical Union. All Rights Reserved.A major challenge in surface hydrology involves predicting streamflow in ungauged catchments with heterogeneous vegetation... [more]

© 2016. American Geophysical Union. All Rights Reserved.A major challenge in surface hydrology involves predicting streamflow in ungauged catchments with heterogeneous vegetation and spatiotemporally varying evapotranspiration (ET) rates. We present a top-down approach for quantifying the influence of broad-scale changes in forest structure on ET and hence streamflow. Across three catchments between 18 and 100 km2 in size and with regenerating Eucalyptus regnans and E. delegatensis forest, we demonstrate how variation in ET can be mapped in space and over time using LiDAR data and commonly available forest inventory data. The model scales plot-level sapwood area (SA) to the catchment-level using basal area (BA) and tree stocking density (N) estimates in forest growth models. The SA estimates over a 69 year regeneration period are used in a relationship between SA and vegetation induced streamflow loss (L) to predict annual streamflow (Q) with annual rainfall (P) estimates. Without calibrating P, BA, N, SA, and L to Q data, we predict annual Q with R2 between 0.68 and 0.75 and Nash Sutcliffe efficiency (NSE) between 0.44 and 0.48. To remove bias, the model was extended to allow for runoff carry-over into the following year as well as minor correction to rainfall bias, which produced R2 values between 0.72 and 0.79, and NSE between 0.70 and 0.79. The model under-predicts streamflow during drought periods as it lacks representation of ecohydrological processes that reduce L with either reduced growth rates or rainfall interception during drought. Refining the relationship between sapwood thickness and forest inventory variables is likely to further improve results.

DOI 10.1002/2015WR018029
2016 Barbour EJ, Holz L, Kuczera G, Pollino CA, Jakeman AJ, Loucks DP, 'Optimisation as a process for understanding and managing river ecosystems', Environmental Modelling and Software, 83 167-178 (2016)

© 2016 Elsevier Ltd.Optimisation can assist in the management of riverine ecosystems through the exploration of multiple alternative management strategies, and the evaluation of ... [more]

© 2016 Elsevier Ltd.Optimisation can assist in the management of riverine ecosystems through the exploration of multiple alternative management strategies, and the evaluation of trade-offs between conflicting objectives. In addition, it can facilitate communication and learning about the system. However, the effectiveness of optimisation in aiding decision making for ecological management is currently limited by four major challenges: identification and quantification of ecosystem objectives; representation of ecosystems in predictive simulation models; specification of objectives and management alternatives in an optimisation framework; and evaluation of model results against actual ecological outcomes. This study evaluates previous literature in ecology, optimisation and decision science, and provides a strategy for addressing the challenges identified. It highlights the need for better recognition and analysis of assumptions in optimisation modelling as part of a process that generates and shares knowledge.

DOI 10.1016/j.envsoft.2016.04.029
2016 Jaskierniak D, Kuczera G, Benyon RG, Lucieer A, 'Estimating tree and stand sapwood area in spatially heterogeneous southeastern Australian forests', Journal of Plant Ecology, 9 272-284 (2016)

© The Author 2015. Published by Oxford University Press on behalf of the Institute of Botany, Chinese Academy of Sciences and the Botanical Society of China.Aims Natural and anth... [more]

© The Author 2015. Published by Oxford University Press on behalf of the Institute of Botany, Chinese Academy of Sciences and the Botanical Society of China.Aims Natural and anthropogenic changes in forests can have important influences on transpiration and water production. Understanding the effects of increasing disturbances, due for example to climate change and forest harvesting, requires detailed information on how forest density and structural attributes relate to transpiration. Mean annual transpiration of eucalypt forest communities is often strongly correlated with total cross-sectional sapwood area. Our aim was to test an efficient method for estimating sapwood area at 1.3 m height (SA1.3) in a large number of trees to understand the spatial heterogeneity of tree and stand sapwood area within and between forest communities, and develop allometric relationships that predict SA1.3 with forest inventory data. We also apply tree competition models to determine the degree to which the relationship between SA1.3 and tree basal area at 1.3 m height (BA1.3) is influenced by competition. Methods We visited 25 recently harvested southeastern Australian forest sites consisting of 1379 trees and 5 Eucalyptus species to evaluate a new efficient data collection method for estimating SA1.3 with tree taper and stump dimensions data using mixed effects models. The locations of 784 stumps within one 5-ha site were accurately mapped using an unmanned aerial vehicle (UAV), and four distance-dependent tree competition models were applied across the site to explain within-stand variation in the ratio of SA1.3 to BA1.3. Data from 24 additional sites, consisting of ten 15 m radial plots per site, were used to analyse within-site variation in R Ha (the ratio of stand sapwood area SAHa to stand basal area BAHa). The radial plots were merged within each site to evaluate between-site variations in R Ha across the landscape. For predicting SAHa with forest inventory data, we computed the relationship between SAHa and a new index of total stem perimeter per hectare, defined as B A H a N T, where N T is tree stocking density. Important Findings Our 1379 measured stems represent the most comprehensive measure of sapwood area, surpassing the 757 measured stems in native eucalypt forests published in literature. The species-specific R Ha varied considerably across sites and therefore extrapolating SAHa with spatially distributed BAHa maps and a generalized R Ha would introduce local uncertainty. We found that the species-specific stem perimeter index was more effective at capturing variability in SAHa across the landscape using forest composition, structure and density data (R 2: 0.72-0.77). The strong correlation between tree SA1.3 and BA1.3 improved slightly using tree competition models (R 2 increased from 0.86 to 0.88). Relating SAHa to routinely measured forest inventory attributes within permanent plots and Light Detection and Ranging (LiDAR) data may provide opportunities to map forest water use in time and space across large areas disturbed by wildfire and logging.

DOI 10.1093/jpe/rtv056
2016 Williams GS, Kuczera G, 'Framework for forensic investigation of associations between operational states and pipe failures in water distribution systems', Journal of Water Resources Planning and Management, 142 (2016)

© 2015 American Society of Civil Engineers.Water distribution systems throughout the world are deteriorating in part due to corrosion of cast iron pipes. Developing a deeper unde... [more]

© 2015 American Society of Civil Engineers.Water distribution systems throughout the world are deteriorating in part due to corrosion of cast iron pipes. Developing a deeper understanding of the operational association with failure may lead to operational improvements extending asset life. Operations engineers can be expected to develop credible theories of pipe failure based on their experience dealing with failures in the field. However, these failure theories can be more rigorously tested by a systemwide investigation of a large number of pipe failures. A forensic framework was developed to investigate how system operations are associated with large-diameter trunk-main failures. The framework utilizes a pipe failure database and historical supervisory control and data acquisition (SCADA) data to analyze trunk-main failures. Using the framework, about 141 largediameter (=300 mm) trunk-main failures were investigated in the Lake Zone in Newcastle, Australia. A predominant system failure mode called pump offpeak (POP) was identified that accounted for approximately 38% of the failures. POP was characterized by an increasing static pressure in low demand periods with limited pressure relief from downstream reservoirs.

DOI 10.1061/(ASCE)WR.1943-5452.0000623
2015 Micevski T, Hackelbusch A, Haddad K, Kuczera G, Rahman A, 'Regionalisation of the parameters of the log-Pearson 3 distribution: a case study for New South Wales, Australia', HYDROLOGICAL PROCESSES, 29 250-260 (2015) [C1]
DOI 10.1002/hyp.10147
Citations Scopus - 6Web of Science - 2
2015 Haddad K, Johnson F, Rahman A, Green J, Kuczera G, 'Comparing three methods to form regions for design rainfall statistics: Two case studies in Australia', Journal of Hydrology, 527 62-76 (2015) [C1]

© 2015 Elsevier B.V.One of the fundamental steps in regional rainfall frequency analysis is deciding the method by which rainfall stations are to be grouped together to form regi... [more]

© 2015 Elsevier B.V.One of the fundamental steps in regional rainfall frequency analysis is deciding the method by which rainfall stations are to be grouped together to form regions. This paper compares three methods of forming regions for use in estimating design rainfalls: a fixed region approach where all the available sites are included in a single region, a Region of Influence (ROI) approach based on geographical proximity and a hybrid approach where sites with similar topographic orientations are grouped together.The three region types were implemented in a Bayesian Generalized Least Squares Regression (BGLSR) framework which leads to regionalized regression equations that can be used to predict rainfall L-moments at ungauged sites. A leave-one-out cross validation approach was used to compare the relative accuracy, reliability and uncertainty of the derived rainfall statistics and resulting estimates of the rainfall quantiles. The study used data from two areas of Australia chosen for their highly varied topography and different climatic influences.It was found that all three methods provided good estimates of the L-moment statistics and the rainfall quantiles. The hybrid approach produced the smallest errors in the South-East Queensland region whilst for the Tasmanian region the fixed region approach was best. The results from this study show that although there is a slight benefit in using the proposed hybrid approach for BGLSR, these benefits were minor compared to maximizing the number of stations used to calibrate the BGLSR equations. This conclusion regarding the number of stations could be tested in future work by repeating the analyses in areas with sparser station density. Another test could be to simulate reduced station coverage in the current study areas by leaving stations out of the analyses. Finally it would be interesting to see if similar results are obtained by expanding the study area so that different climatological regimes are assessed.

DOI 10.1016/j.jhydrol.2015.04.043
Citations Scopus - 1
2015 Mortazavi-Naeini M, Kuczera G, Cui L, 'Efficient multi-objective optimization methods for computationally intensive urban water resources models', Journal of Hydroinformatics, 17 36-55 (2015) [C1]

Multi-objective optimization methods require many thousands of objective function evaluations. For urban water resource problems such evaluations can be computationally very expen... [more]

Multi-objective optimization methods require many thousands of objective function evaluations. For urban water resource problems such evaluations can be computationally very expensive. The question as to which optimization method is the best choice for a given function evaluations budget in urban water resource problems remains unexplored. The main objective of this paper is to address this question. The second objective is to develop a new optimization algorithm, efficient multi-objective ant colony optimization-I (EMOACO-I), which exploits the good performance of ant colony optimization enhanced using ideas borrowed from evolutionary optimization. Its performance was compared against three established methods (NSGA-II, SMPSO, eMOEA) using two case studies based on the urban water resource systems serving two major Australian cities. The case study problems involved two or three objectives and 10 or 13 decision variables affecting infrastructure investment and system operation. The results show that NSGA-II was the worst performing method. However, none of the remaining methods was unambiguously superior. For example, while EMOACO-I converged more rapidly, its diversity was comparable but not superior to the other methods. Greater differences in performance were found as the number of objectives and case study complexity increased. This suggests that pooling the results from a number of methods could help guard against the vagaries in performance of individual methods.

DOI 10.2166/hydro.2014.204
Citations Scopus - 1Web of Science - 1
2015 Jaskierniak D, Kuczera G, Benyon R, Wallace L, 'Using tree detection algorithms to predict stand sapwood area, basal area and stocking density in Eucalyptus regnans forest', Remote Sensing, 7 7298-7323 (2015) [C1]

© 2015 by the authors.Managers of forested water supply catchments require efficient and accurate methods to quantify changes in forest water use due to changes in forest structu... [more]

© 2015 by the authors.Managers of forested water supply catchments require efficient and accurate methods to quantify changes in forest water use due to changes in forest structure and density after disturbance. Using Light Detection and Ranging (LiDAR) data with as few as 0.9 pulses m-2, we applied a local maximum filtering (LMF) method and normalised cut (NCut) algorithm to predict stocking density (SDen) of a 69-year-old Eucalyptus regnans forest comprising 251 plots with resolution of the order of 0.04 ha. Using the NCut method we predicted basal area (BAHa) per hectare and sapwood area (SAHa) per hectare, a well-established proxy for transpiration. Sapwood area was also indirectly estimated with allometric relationships dependent on LiDAR derived SDen and BAHa using a computationally efficient procedure. The individual tree detection (ITD) rates for the LMF and NCut methods respectively had 72% and 68% of stems correctly identified, 25% and 20% of stems missed, and 2% and 12% of stems over-segmented. The significantly higher computational requirement of the NCut algorithm makes the LMF method more suitable for predicting SDen across large forested areas. Using NCut derived ITD segments, observed versus predicted stand BAHa had R2 ranging from 0.70 to 0.98 across six catchments, whereas a generalised parsimonious model applied to all sites used the portion of hits greater than 37 m in height (PH37) to explain 68% of BAHa. For extrapolating one ha resolution SAHa estimates across large forested catchments, we found that directly relating SAHa to NCut derived LiDAR indices (R2 = 0.56) was slightly more accurate but computationally more demanding than indirect estimates of SAHa using allometric relationships consisting of BAHa (R2 = 0.50) or a sapwood perimeter index, defined as (BAHaSDen)1/2 (R2 = 0.48).

DOI 10.3390/rs70607298
Citations Scopus - 3Web of Science - 3
2015 Benyon RG, Lane PNJ, Jaskierniak D, Kuczera G, Haydon SR, 'Use of a forest sapwood area index to explain long-term variability in mean annual evapotranspiration and streamflow in moist eucalypt forests', Water Resources Research, 51 5318-5331 (2015) [C1]

© 2015. American Geophysical Union. All Rights Reserved.Mean sapwood thickness, measured in fifteen 73 year old Eucalyptus regnans and E. delegatensis stands, correlated strongly... [more]

© 2015. American Geophysical Union. All Rights Reserved.Mean sapwood thickness, measured in fifteen 73 year old Eucalyptus regnans and E. delegatensis stands, correlated strongly with forest overstorey stocking density (R2 0.72). This curvilinear relationship was used with routine forest stocking density and basal area measurements to estimate sapwood area of the forest overstorey at various times in 15 research catchments in undisturbed and disturbed forests located in the Great Dividing Range, Victoria, Australia. Up to 45 years of annual precipitation and streamflow data available from the 15 catchments were used to examine relationships between mean annual loss (evapotranspiration estimated as mean annual precipitation minus mean annual streamflow), and sapwood area. Catchment mean sapwood area correlated strongly (R2 0.88) with catchment mean annual loss. Variation in sapwood area accounted for 68% more variation in mean annual streamflow than precipitation alone (R2 0.90 compared with R2 0.22). Changes in sapwood area accounted for 96% of the changes in mean annual loss observed after forest thinning or clear-cutting and regeneration. We conclude that forest inventory data can be used reliably to predict spatial and temporal variation in catchment annual losses and streamflow in response to natural and imposed disturbances in even-aged forests. Consequently, recent advances in mapping of sapwood area using airborne light detection and ranging will enable high resolution spatial and temporal mapping of mean annual loss and mean annual streamflow over large areas of forested catchment. This will be particularly beneficial in management of water resources from forested catchments subject to disturbance but lacking reliable long-term (years to decades) streamflow records. Key Points: Correlations between mean annual streamflow and forest sapwood area are examined Annual streamflow can be predicted from forest inventory data and rainfall Changes in sapwood area account for changes in annual streamflow

DOI 10.1002/2015WR017321
Citations Scopus - 2Web of Science - 1
2015 Jaskierniak D, Benyon R, Kuczera G, Robinson A, 'A new method for measuring stand sapwood area in forests', Ecohydrology, 8 504-517 (2015) [C1]

© 2014 John Wiley & Sons, Ltd.We introduce a novel methodology for measuring stand sapwood area (SA), which provides a useful indicator of evapotranspiration from forest stands. ... [more]

© 2014 John Wiley & Sons, Ltd.We introduce a novel methodology for measuring stand sapwood area (SA), which provides a useful indicator of evapotranspiration from forest stands. The method is demonstrated in a 73-year-old Eucalyptus regnans forest comprising 784 stems over a 5ha area. We used photos of stump cross-sections to differentiate sapwood from heartwood and found 90% of stump segments to have a visible transition boundary. The digital images were corrected for lens distortion and scaled to an actual cross-sectional area, with resulting stump perimeters corresponding well with field-measured perimeters traced using string (root-mean-square error=4cm, R2=0.99). Calculated SA and basal area (BA) at stump height were coupled with tree and sapwood taper data to predict the SA:BA ratio at 1.3m height (R^1.3). Tree taper data were coupled with stump dimensions data in a mixed-effects model to predict each stump's BA at 1.3m, and sapwood taper data from buttress logs were used to improve each stems R^1.3. Using this procedure, we found our study site to have an R^1.3 of 0.21 and total stand SA at 1.3m height of 9.3m2ha-1. We quantified the bias in traditional R^1.3 estimates that use cores to measure sapwood thickness and diameter tape to calculate SA. We show traditional methods underestimate R^1.3 that increases with tree diameter and decreases with stem circularity, whereas our methodology gave more accurate measures of SA in large buttressing trees. Our methodology also provides a more efficient way of generating maps of SA variation across large forested catchments.

DOI 10.1002/eco.1520
Citations Scopus - 1
2014 Li J, Thyer M, Lambert M, Kuczera G, Metcalfe A, 'An efficient causative event-based approach for deriving the annual flood frequency distribution', JOURNAL OF HYDROLOGY, 510 412-423 (2014) [C1]
DOI 10.1016/j.jhydrol.2013.12.035
Citations Scopus - 6Web of Science - 3
2014 Evin G, Thyer M, Kavetski D, McInerney D, Kuczera G, 'Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity', WATER RESOURCES RESEARCH, 50 2350-2375 (2014) [C1]
DOI 10.1002/2013WR014185
Citations Scopus - 16Web of Science - 14
2014 Mortazavi-Naeini M, Kuczera G, Cui L, 'Application of multiobjective optimization to scheduling capacity expansion of urban water resource systems', Water Resources Research, 50 4624-4642 (2014) [C1]

Significant population increase in urban areas is likely to result in a deterioration of drought security and level of service provided by urban water resource systems. One way to... [more]

Significant population increase in urban areas is likely to result in a deterioration of drought security and level of service provided by urban water resource systems. One way to cope with this is to optimally schedule the expansion of system resources. However, the high capital costs and environmental impacts associated with expanding or building major water infrastructure warrant the investigation of scheduling system operational options such as reservoir operating rules, demand reduction policies, and drought contingency plans, as a way of delaying or avoiding the expansion of water supply infrastructure. Traditionally, minimizing cost has been considered the primary objective in scheduling capacity expansion problems. In this paper, we consider some of the drawbacks of this approach. It is shown that there is no guarantee that the social burden of coping with drought emergencies is shared equitably across planning stages. In addition, it is shown that previous approaches do not adequately exploit the benefits of joint optimization of operational and infrastructure options and do not adequately address the need for the high level of drought security expected for urban systems. To address these shortcomings, a new multiobjective optimization approach to scheduling capacity expansion in an urban water resource system is presented and illustrated in a case study involving the bulk water supply system for Canberra. The results show that the multiobjective approach can address the temporal equity issue of sharing the burden of drought emergencies and that joint optimization of operational and infrastructure options can provide solutions superior to those just involving infrastructure options. © 2014. American Geophysical Union. All Rights Reserved.

DOI 10.1002/2013WR014569
Citations Scopus - 10Web of Science - 6
2014 Maier HR, Kapelan Z, Kasprzyk J, Kollat J, Matott LS, Cunha MC, et al., 'Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions', Environmental Modelling and Software, 62 271-299 (2014) [C1]

© 2014 Elsevier Ltd.The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active r... [more]

© 2014 Elsevier Ltd.The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g. model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts.

DOI 10.1016/j.envsoft.2014.09.013
Citations Scopus - 67Web of Science - 59
2014 Mortazavi-Naeini M, Kuczera G, Kiem AS, Cui L, Henley B, Berghout B, Turner E, 'Robust optimization to secure urban bulk water supply against extreme drought and uncertain climate change', Environmental Modelling and Software, (2014) [C1]

Urban bulk water systems supply water with high reliability and, in the event of extreme drought, must avoid catastrophic economic and social collapse. In view of the deep uncerta... [more]

Urban bulk water systems supply water with high reliability and, in the event of extreme drought, must avoid catastrophic economic and social collapse. In view of the deep uncertainty about future climate change, it is vital that robust solutions be found that secure urban bulk water systems against extreme drought. To tackle this challenge an approach was developed integrating: 1) a stochastic model of multi-site streamflow conditioned on future climate change scenarios; 2) Monte Carlo simulation of the urban bulk water system incorporated into a robust optimization framework and solved using a multi-objective evolutionary algorithm; and 3) a comprehensive decision space including operating rules, investment in new sources and source substitution and a drought contingency plan with multiple actions with increasingly severe economic and social impact. A case study demonstrated the feasibility of this approach for a complex urban bulk water supply system. The primary objective was to minimize the expected present worth cost arising from infrastructure investment, system operation and the social cost of "normal" and emergency restrictions. By introducing a second objective which minimizes either the difference in present worth cost between the driest and wettest future climate change scenarios or the present worth cost for driest climate scenario, the trade-off between efficiency and robustness was identified. The results show that a significant change in investment and operating strategy can occur when the decision maker expresses a stronger preference for robustness and that this depends on the adopted robustness measure. Moreover, solutions are not only impacted by the degree of uncertainty about future climate change but also by the stress imposed on the system and the range of available options.

DOI 10.1016/j.envsoft.2015.02.021
Citations Scopus - 11Web of Science - 8
Co-authors Anthony Kiem
2013 Ishak EH, Rahman A, Westra S, Sharma A, Kuczera G, 'Evaluating the non-stationarity of Australian annual maximum flood', Journal of Hydrology, 494 134-145 (2013) [C1]
DOI 10.1016/j.jhydrol.2013.04.021
Citations Scopus - 41Web of Science - 32
2013 Evin G, Kavetski D, Thyer M, Kuczera G, 'Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration', WATER RESOURCES RESEARCH, 49 4518-4524 (2013) [C1]
DOI 10.1002/wrcr.20284
Citations Scopus - 21Web of Science - 22
2013 Henley BJ, Thyer MA, Kuczera G, 'Climate driver informed short-term drought risk evaluation', Water Resources Research, 49 2317-2326 (2013) [C1]
DOI 10.1002/wrcr.20222
Citations Scopus - 7Web of Science - 6
2012 Roldin M, Mark O, Kuczera GA, Mikkelsen PS, Binning PJ, 'Representing soakaways in a physically distributed urban drainage model: Upscaling individual allotments to an aggregated scale', Journal of Hydrology, 414-415 530-538 (2012) [C1]
Citations Scopus - 6Web of Science - 5
2012 Mortazavi Naeini SM, Kuczera GA, Cui L, 'Multiobjective optimization of urban water resources: Moving toward more practical solutions', Water Resources Research, 48 W03514 (2012) [C1]
Citations Scopus - 26Web of Science - 20
2011 Henley BJ, Thyer MA, Kuczera GA, Franks SW, 'Climate-informed stochastic hydrological modeling: Incorporating decadal-scale variability using paleo data', Water Resources Research, 47 W11509 (2011) [C1]
Citations Scopus - 20Web of Science - 17
2011 Renard B, Kavetski DN, Leblois E, Thyer M, Kuczera GA, Franks SW, 'Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation', Water Resources Research, 47 W11516 (2011) [C1]
DOI 10.1029/2011wr010643
Citations Scopus - 65Web of Science - 56
2011 McArdle P, Gleeson J, Hammond T, Heslop E, Holden R, Kuczera GA, 'Centralised urban stormwater harvesting for potable reuse', Water Science and Technology, 63 16-24 (2011) [C1]
DOI 10.2166/wst.2011.003
Citations Scopus - 9Web of Science - 6
2011 Graddon AR, Kuczera GA, Hardy MJ, 'A flexible modelling environment for integrated urban water harvesting and re-use', Water Science and Technology, 63 2268-2278 (2011) [C1]
Citations Scopus - 4Web of Science - 5
2011 Haddad K, Rahman A, Kuczera GA, 'Comparison of ordinary and generalised least squares regression models in regional flood frequency analysis: A case study for New South Wales', Australian Journal of Water Resources, 15 59-70 (2011) [C1]
Citations Scopus - 12
2010 Jennings SA, Lambert MF, Kuczera GA, 'Generating synthetic high resolution rainfall time series at sites with only daily rainfall using a master-target scaling approach', Journal of Hydrology, 393 163-173 (2010) [C1]
DOI 10.1016/j.jhydrol.2010.08.013
Citations Scopus - 6Web of Science - 6
2010 Renard B, Kavetski DN, Kuczera GA, Thyer MA, Franks SW, 'Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors', Water Resources Research, 46 W05521 (2010) [C1]
DOI 10.1029/2009WR008328
Citations Scopus - 186Web of Science - 156
2010 Kuczera GA, Kavetski DN, Renard B, Thyer MA, 'A limited-memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models', Water Resources Research, 46 1-6 (2010) [C1]
DOI 10.1029/2009WR008985
Citations Scopus - 18Web of Science - 16
2010 Kuczera GA, Renard B, Thyer MA, Kavetski DN, 'There are no hydrological monsters, just models and observations with large uncertainties!', Hydrological Sciences Journal, 55 980-991 (2010) [C1]
DOI 10.1080/02626667.2010.504677
Citations Scopus - 24Web of Science - 23
2010 Haddad K, Rahman A, Weinmann PE, Kuczera GA, Ball J, 'Streamflow data preparation for regional flood frequency analysis: Lessons from Southeast Australia', Australian Journal of Water Resources, 14 17-32 (2010) [C1]
Citations Scopus - 43
2010 Rahman A, Haddad K, Zaman M, Kuczera GA, Weinmann PE, 'Design flood estimation in ungauged catchments: A comparison between the probabilistic rational method and quantile regression technique for NSW', Australian Journal of Water Resources, 14 127-140 (2010) [C1]
Citations Scopus - 15
2010 Benyon R, Haydon S, Vertessy R, Hatton T, Kuczera GA, Feikema P, Lane P, 'Comment on Wood et al. 2008, 'Impacts of fire on forest age and runoff in mountain ash forests'', Functional Plant Biology, 37 1187-1191 (2010) [C1]
DOI 10.1071/FP10141
Citations Scopus - 2Web of Science - 2
2009 Renard B, Kavetski D, Kuczera G, 'Comment on "An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction" by Newsha K. Ajami et al.', Water Resources Research, 45 (2009)

Uncertainty in the rainfall inputs, which constitute a primary forcing of hydrological systems, considerably affects the calibration and predictive use of hydrological models. In ... [more]

Uncertainty in the rainfall inputs, which constitute a primary forcing of hydrological systems, considerably affects the calibration and predictive use of hydrological models. In a recent paper, Ajami et al. [2007] proposed the Integrated Bayesian Uncertainty Estimator (IBUNE) to quantify input, parameter and model uncertainties. This comment analyzes two interpretations of the IBUNE method and compares them to the Bayesian Total Error Analysis (BATEA) method [Kavetski et al., 2002, 2006a]. It is shown that BATEA and IBUNE are based on the same hierarchical conceptualization of the input uncertainty. However, in interpretation A of IBUNE, the likelihood function, and hence the posterior distribution, are random functions of the inferred variables, which violates a standard requirement for probability density functions (pdf). A synthetic study shows that IBUNE-A inferences are inconsistent with the correct parameter values and model predictions. In the second interpretation, IBUNE-B, it is shown that a specific implementation of IBUNE is equivalent to a special Metropolis-Hastings sampler for the full Bayesian posterior, directly including the rainfall multipliers as latent variables (but not necessarily storing their samples). Consequently, IBUNE-B does not reduce the dimensionality of the sampling problem. Moreover, the jump distribution for the latent variables embedded in IBUNE-B is computationally inefficient and leads to prohibitively slow convergence. Modifications of these jump rules can cause convergence to incorrect posterior distributions. The primary conclusion of this comment is that, unless the hydrological model and the structure of data uncertainty allow specialized treatment, Bayesian hierarchical models invariably lead to high-dimensional computational problems, whether working with the full posterior (high-dimensional sampling problem) or with the marginal posterior (high-dimensional integration problem each time the marginal posterior is evaluated). © 2009 by American Geophysical Union.

DOI 10.1029/2007WR006538
Citations Scopus - 10
2009 Micevski T, Kuczera GA, 'Combining site and regional flood information using a Bayesian Monte Carlo approach', Water Resources Research, 45 1-11 (2009) [C1]
DOI 10.1029/2008wr007173
Citations Scopus - 29Web of Science - 21
2009 Thyer MA, Renard B, Kavetski DN, Kuczera GA, Franks SW, Srikanthan S, 'Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis', Water Resources Research, 45 1-22 (2009) [C1]
DOI 10.1029/2008wr006825
Citations Scopus - 151Web of Science - 128
2009 Renard B, Kavetski DN, Kuczera GA, 'Comment on 'An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction'' by Newsha K. Ajami et al', Water Resources Research, 45 1-10 (2009) [C1]
DOI 10.1029/2007wr006538
Citations Scopus - 17Web of Science - 9
2009 Cui L, Kuczera GA, 'Assessment of the replicate compression heuristic to improve efficiency of urban water supply headworks optimization', Journal of Water Resources Planning and Management, 135 451-457 (2009) [C1]
DOI 10.1061/(ASCE)0733-9496(2009)135:6(451)
2008 Srikanthan R, Amirthanathan G, Kuczera GA, 'Application of ensemble Kalman filter for flood forecasting in Australian rivers', Australian Journal of Water Resources, 12 245-255 (2008) [C1]
Citations Scopus - 2
2007 Frost AJ, Thyer MA, Srikanthan R, Kuczera GA, 'A general Bayesian framework for calibrating and evaluating stochastic models of annual multi-site hydrological data', Journal of Hydrology, 340 129-148 (2007) [C1]
DOI 10.1016/j.jhydrol.2007.03.023
Citations Scopus - 20Web of Science - 16
2007 Kavetski D, Kuczera GA, 'Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration', Water Resources Research, 43 (2007) [C1]
DOI 10.1029/2006wr005195
Citations Scopus - 46Web of Science - 44
2007 Leonard M, Metcalfe A, Lambert M, Kuczera GA, 'Implementing a space-time rainfall model for the Sydney region', Water Science and Technology, 55 39-47 (2007) [C1]
DOI 10.2166/wst.2007.093
Citations Scopus - 1Web of Science - 2
2006 Micevski T, Franks SW, Kuczera GA, 'Multidecadal variability in coastal eastern Australian flood data', Journal of Hydrology, 327 219-225 (2006) [C1]
DOI 10.1016/j.jhydrol.2005.11.017
Citations Scopus - 46Web of Science - 40
2006 Kavetski DN, Kuczera GA, Franks SW, 'Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts', Journal of Hydrology, 320 173-186 (2006) [C1]
DOI 10.1016/j.jhydrol.2005.07.012
Citations Scopus - 63Web of Science - 65
2006 Kavetski DN, Kuczera GA, Franks SW, 'Calibration of conceptual hydrological models revisited: 2. Improving optimisation and analysis', Journal of Hydrology, 320 187-201 (2006) [C1]
DOI 10.1016/j.jhydrol.2005.07.013
Citations Scopus - 36Web of Science - 34
2006 Thyer MA, Frost AJ, Kuczera GA, 'Parameter estimation and model identification for stochastic models of annual hydrological data: Is the observed record long enough?', Journal of Hydrology, 330 313-328 (2006) [C1]
DOI 10.1016/j.jhydrol.2006.03.029
Citations Scopus - 14Web of Science - 11
2006 Kuczera GA, Kavetski D, Franks SW, Thyer MA, 'Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters', Journal of Hydrology, 331 161-177 (2006) [C1]
DOI 10.1016/j.jhydrol.2006.05.010
Citations Scopus - 162Web of Science - 154
2006 Spinks AT, Dunstan RH, Harrison TL, Coombes PJ, Kuczera GA, 'Thermal inactivation of water-borne pathogenic and indicator bacteria at sub-boiling temperatures', Water Research, 40 1326-1332 (2006) [C1]
DOI 10.1016/j.watres.2006.01.032
Citations Scopus - 57Web of Science - 49
Co-authors Hugh Dunstan
2006 Kavetski DN, Kuczera GA, Franks SW, 'Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory', Water Resources Research, 42 (2006) [C1]
DOI 10.1029/2005WR004368
Citations Scopus - 192Web of Science - 243
2006 Kavetski DN, Kuczera GA, Franks SW, 'Bayesian analysis of input uncertainty in hydrological modeling: 2 - application', Water Resources Research, 42 1-10 (2006) [C1]
DOI 10.1029/2005WR004376
Citations Scopus - 141Web of Science - 100
2006 Kuczera GA, Lambert M, Heneker T, Jennings S, Frost A, Coombes PJ, 'Joint probability and design storms at the crossroads', Australian Journal of Water Resources, 10 63-79 (2006) [C1]
2006 Holz LM, Kuczera GA, Kalma JD, 'Multiple criteria decision making: Facilitating a learning environment', Journal of Environmental Planning and Management, 49 455-470 (2006) [C1]
DOI 10.1080/09640560600601744
Citations Scopus - 3
Co-authors Jetse Kalma
2005 Hardy MJ, Kuczera GA, Coombes PJ, 'Integrated Urban Water Cycle Management: The UrbanCycle Model', Water Science and Technology, 52 1-9 (2005) [C1]
Citations Scopus - 24Web of Science - 18
2005 Micevski T, Kuczera GA, Franks SW, 'Flood frequency censoring errors associated with daily-read flood observations', Water Resources Research, 41 (2005) [C1]
DOI 10.1029/2004WR003881
Citations Scopus - 3Web of Science - 3
2005 Cui L, Kuczera GA, 'Optimizing water supply headworks operating rules under stochastic inputs: Assessment of genetic algorithm performance', Water Resources Research, 41 (2005) [C1]
DOI 10.1029/2004WR003517
Citations Scopus - 17Web of Science - 15
2004 Whiting JP, Lambert MF, Metcalfe AV, Adamson PT, Franks SW, Kuczera GA, 'Relationships Between The El-Nino Southern Oscillation And Spate Flows In Southern Africa And Australia', Hydrology and Earth System Sciences, 8 1118-1128 (2004) [C1]
DOI 10.5194/hess-8-1118-2004
Citations Scopus - 2Web of Science - 2
2004 Whiting J, Lambert M, Metcalfe A, Kuczera G, 'Development of non-homogeneous and hierarchical Hidden Markov models for modelling monthly rainfall and streamflow time series', Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management, 1588-1597 (2004)

Hidden Markov models (HMMs) offer a plausible representation of long-term hydroclimatic persistence in rainfall and streamflow observations. Persistent climate processes influence... [more]

Hidden Markov models (HMMs) offer a plausible representation of long-term hydroclimatic persistence in rainfall and streamflow observations. Persistent climate processes influence hydrological observations at various time scales. This paper develops the stochastic framework of two-state HMMs to better represent climate-rainfall interactions at both monthly and annual levels. Two new models, a hierarchical HMM and a non-homogeneous HMM are introduced, and fitted to monthly rainfall and streamflow observations from Australia. The value of these models to identify two-state persistence is compared to that of existing two-state HMMs.

2003 Coombes PJ, Kuczera GA, 'Moving toward systems understanding of integrated water cycle management', South African Journal of Technological Sciences and Engineering, - (2003) [C3]
2003 Thyer MA, Kuczera GA, 'A Hidden Markov Model For Modelling Long-Term Persistence In Multi-Site Rainfall Time Series: 2 - Real Data Analysis', Journal Of Hydrology, Vol. 275 27-48 (2003) [C1]
DOI 10.1016/S0022-1694(02)00411-0
Citations Scopus - 31Web of Science - 27
2003 Thyer MA, Kuczera GA, 'A Hidden Markov Model For Modelling Long-Term Persistence In Multi-Site Rainfall Time Series: 1 - Model Calibration Using A Bayesian Approach', Journal Of Hydrology, Vol. 275 12-26 (2003) [C1]
DOI 10.1016/S0022-1694(02)00412-2
Citations Scopus - 36Web of Science - 26
2003 Kavetski DN, Kuczera GA, Franks SW, 'Semidistributed Hydrological Modeling: A 'Saturation Path' Perspective On TOPMODEL and VIC', Water Resources Research, Vol. 39 (2003) [C1]
DOI 10.1029/2003WR002122
Citations Scopus - 30Web of Science - 37
2003 Kiem AS, Franks SW, Kuczera GA, 'Multi-Decadal Variability Of Flood Risk', Geophysical Research Letters, Vol. 30 7-1-7-4 (2003) [C1]
DOI 10.1029/2002GL015992
Citations Scopus - 157Web of Science - 134
Co-authors Anthony Kiem
2003 Cui L, Kuczera GA, 'Optimizing Urban Water Supply Headworks Using Probabilistic Search Methods', Journal Of Water Resources Planning And Management, Vol. 129 380-387 (2003) [C1]
DOI 10.1061/(ASCE)0733-9496(2003)129:5(380)
Citations Scopus - 15Web of Science - 15
2003 Coombes PJ, Kuczera GA, Frost AJ, O'Loughlin G, Lees S, 'The Impact Of Rainwater Tanks In The Upper Parramatta River Catchment', Australian Journal Of Water Resources, Vol. 7 121-129 (2003) [C2]
2003 Heneker TM, Lambert MF, Kuczera GA, 'Overcoming The Joint Probability Problem Associated With Initial Loss Estimation In Design Flood Estimation', Australian Journal of Water Resources, Vol. 7 101-109 (2003) [C1]
2003 Coombes PJ, Kuczera GA, Kalma JD, 'Economic, Water Quantity And Quality Impacts From The Use Of A Rainwater Tank In The Inner City', Australian Journal of Water Resources, Vol. 7 111-120 (2003) [C2]
Co-authors Jetse Kalma
2002 Franks SW, Kuczera GA, 'Flood Frequency Analysis: Evidence And Implications Of Secular Climite Variability, New South Wales', Water Resources Research, Vol. 38, No. 5 (2002) [C1]
Citations Scopus - 78Web of Science - 63
2002 Bell LSJ, Binning PJ, Kuczera GA, Kau PMH, 'Rigorous Uncertainty Assessment In Contaminant Transport Inverse Modelling: A Case Study Of Fluoride Diffusion Through Clay Liners', Journal of Contaminant Hydrology, Vol. 57 1-20 (2002) [C1]
Citations Scopus - 17Web of Science - 17
2002 Thyer MA, Kuczera GA, Wang QJ, 'Quantifying parameter uncertainty in stochastic models using the Box-Cox transformation', Journal of Hydrology, 265 246-257 (2002) [C1]
Citations Scopus - 39Web of Science - 36
2002 Wooldridge SA, Kalma JD, Franks SW, Kuczera GA, 'Model Identification By Space-Time Disaggregation: A Case Study From Eastern Australia', Hydrological Processes: An International Journal, Vol. 16 459-477 (2002) [C1]
Citations Scopus - 7Web of Science - 8
Co-authors Jetse Kalma
2002 Coombes PJ, Kuczera GA, Kalma JD, Argue JR, 'An Evaluation Of The Benefits Of Source Control Measures At The Regional Scale', Urban Water, Vol. 4 307-320 (2002) [C1]
Citations Scopus - 44
Co-authors Jetse Kalma
2002 Micevski T, Kuczera GA, Coombes PJ, Argue JR, 'Markov Model For Storm Water Pipe Deterioration', Journal Of Infrastructure Systems, Vol. 8, No. 2 49-56 (2002) [C1]
Citations Scopus - 91
2002 Coombes PJ, Micevski T, Kuczera GA, 'Deterioration, depreciation and serviceability of stormwater pipes', Waterfall, - (2002) [C3]
2002 Kuczera GA, Coombes PJ, 'Towards continuous simulation: a comparitive assessment of the performance of volume-sensitive systems', Waterfall, - (2002) [C3]
2002 Coombes PJ, Kuczera GA, 'Strategic use of stormwater', Waterfall, - (2002) [C3]
2002 Frost AJ, Jennings S, Thyer M, Lambert M, Kuczera GA, 'Incorporating Long-Term Climate Variability Into A Short-Timescale Rainfall Model Using A Hidden State Markov Model', Australian Journal Of Water Resources, Vol. 6, No. 1 63-69 (2002) [C1]
2002 Frost AJ, Jennings S, Thyer MA, Lambert MF, Kuczera GA, 'Incorporating long-term climatic variability into a short-timescale rainfall model using a Hidden State Markov Model', Australian Journal of Water Resources, 6 63-72 (2002) [C1]
2001 Wooldridge SA, Kalma JD, Kuczera GA, 'Parameterisation of a simple semi-distributed model for assessing the impact of land-use on hydrologic response', Journal of Hydrology, 254 16-32 (2001) [C1]
Citations Scopus - 34Web of Science - 31
Co-authors Jetse Kalma
2001 Heneker TM, Lambert MF, Kuczera GA, 'A point rainfall model for risk-based design', Journal of Hydrology, 247 54-71 (2001) [C1]
Citations Scopus - 45Web of Science - 33
2001 Hollinger E, Cornish PS, Baginska B, Mann R, Kuczera G, 'Farm-scale stormwater losses of sediment and nutrients from a market garden near Sydney, Australia', AGRICULTURAL WATER MANAGEMENT, 47 227-241 (2001)
DOI 10.1016/S0378-3774(00)00107-4
Citations Scopus - 27Web of Science - 21
2001 Hollinger E, Cornish PS, Baginska B, Man R, Kuczera GA, 'Farm-scale stormwater losses of sediment and nutrients from a market garden', Agricultural Water Management, 47 227-241 (2001) [C1]
2001 Coombes PJ, Kuczera GA, 'Strategic Use of Stormwater', The BDP Environment Design Guide, 44 1-10 (2001) [C1]
2000 Thyer MA, Kuczera GA, 'Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model', Water Resources Research, VO 36, No.11 3301-3310 (2000) [C1]
Citations Scopus - 52Web of Science - 44
2000 Coombes PJ, Argue JR, Kuczera GA, 'Figtree Place: a case study in water sensitive urban development (WSUD)', Urban Water, Vol 1 (4) 335-343 (2000) [C1]
1999 Cui G, Williams BJ, Kuczera GA, 'A stochastic Tokunaga Model for stream networks', Water Resources Research, Vol. 35, No. 10 3139-3147 (1999) [C1]
Citations Scopus - 13Web of Science - 12
Co-authors Brian Williams
1999 Thyer MA, Kuczera GA, 'Probabilistic Optimization for conceptual rainfall-runoff models: A comparison of the shuffled complex evolution and simulated annealing algorithms', Water Resources Research, Vol. 35, No. 3 767-773 (1999) [C1]
Citations Scopus - 94Web of Science - 83
1999 Kuczera GA, 'Comprehensive at-site flood frequency analysis using Monte Carlo Bayesian inference', Water Resources Research, Vol. 35, No. 5 1551-1557 (1999) [C1]
Citations Scopus - 105Web of Science - 74
1999 Laurenson EM, Kuczera GA, 'Annual Exceedance Probability of Probable Maximum Precipitation', Australian Journal of Water Resources, Vol. 3, No. 2 189-198 (1999) [C1]
1998 Kuczera GA, Parent E, 'Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm', Journal of Hydrology, Vol 211 69-85 (1998) [C1]
Citations Scopus - 424Web of Science - 396
1998 Kuczera GA, Mroczkowski M, 'Assessment of hydrologic parameter uncertainty and the worth of multiresponse data', Water Resources Research, Vol. 34, No. 6 1481-1489 (1998) [C1]
Citations Scopus - 142Web of Science - 131
1998 Lambert M, Kuczera GA, 'Seasonal generalized exponential probability models with application to interstorm and storm durations', Water Resources Research, Vol. 34, No. 1 143-148 (1998) [C1]
Citations Scopus - 10Web of Science - 10
1997 Mroczkowski M, Kuczera G, 'Modelling of streamflow, stream chloride and groundwater in five experimental catchments in Western Australia', Hydrochemistry. Proc. international symposium, Rabat, Morocco, 1997, 244 95-104 (1997)

Removal of native vegetation has led to salinisation of soils and streams in the southwest region of Western Australia. The water balance regime has been affected in most deforest... [more]

Removal of native vegetation has led to salinisation of soils and streams in the southwest region of Western Australia. The water balance regime has been affected in most deforested catchments with four significant changes: (1) an increase of streamflow, (2) a rise of deep groundwater, (3) an expansion of groundwater discharge zones and (4) an increase of stream chloride concentration. This study overviews the identification and calibration of a conceptual hydrosalinity model CATPRO to simulate these changes. Calibration of CATPRO to streamflow only failed to identify model structure consistent with increasing stream chloride loads. In contrast, joint calibration to monthly time series of streamflow, stream chloride and average groundwater levels yielded good results and identified model structure consistent with all four observed changes. It is concluded that stream chloride and groundwater data can significantly enhance the power of streamflow data in the testing and identification of catchment models. Results are reported for five catchments, of which two are forested and three have been disturbed by forest clearing.

1997 Kuczera G, 'Efficient subspace probabilistic parameter optimization for catchment models', WATER RESOURCES RESEARCH, 33 177-185 (1997)
DOI 10.1029/96WR02671
Citations Scopus - 121Web of Science - 115
1997 Mroczkowski M, Raper GP, Kuczera G, 'The quest for more powerful validation of conceptual catchment models', WATER RESOURCES RESEARCH, 33 2325-2335 (1997)
DOI 10.1029/97WR01922
Citations Scopus - 97Web of Science - 90
1997 Mroczkowski M, Kuczera G, 'Sensitivity of simulated stream salinity to soil chloride profile', MATHEMATICS AND COMPUTERS IN SIMULATION, 43 359-366 (1997)
DOI 10.1016/S0378-4754(97)00020-7
1997 Berghout BL, Kuczera G, 'Network linear programming as pipe network hydraulic analysis tool', JOURNAL OF HYDRAULIC ENGINEERING, 123 549-559 (1997)
DOI 10.1061/(ASCE)0733-9429(1997)123:6(549)
Citations Scopus - 14Web of Science - 7
1996 Kuczera G, 'Correlated rating curve error in flood frequency inference', WATER RESOURCES RESEARCH, 32 2119-2127 (1996)
DOI 10.1029/96WR00804
Citations Scopus - 47Web of Science - 41
1993 KUCZERA G, RAPER GP, BRAH NS, JAYASURIYA MD, 'MODELING YIELD CHANGES AFTER STRIP THINNING IN A MOUNTAIN ASH CATCHMENT - AN EXERCISE IN CATCHMENT MODEL VALIDATION', JOURNAL OF HYDROLOGY, 150 433-457 (1993)
DOI 10.1016/0022-1694(93)90120-X
Citations Scopus - 25Web of Science - 22
1993 NG WS, KUCZERA G, 'INCORPORATING DEMAND UNCERTAINTY IN WATER-SUPPLY HEADWORKS SIMULATION', WATER RESOURCES RESEARCH, 29 469-477 (1993)
DOI 10.1029/92WR01952
Citations Web of Science - 3
1993 KUCZERA G, 'NETWORK LINEAR-PROGRAMMING CODES FOR WATER-SUPPLY HEADWORKS MODELING', JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 119 412-417 (1993)
DOI 10.1061/(ASCE)0733-9496(1993)119:3(412)
Citations Scopus - 10Web of Science - 8
1992 KUCZERA G, 'UNCORRELATED MEASUREMENT ERROR IN FLOOD FREQUENCY INFERENCE', WATER RESOURCES RESEARCH, 28 183-188 (1992)
DOI 10.1029/91WR02269
Citations Scopus - 29Web of Science - 28
1992 KUCZERA G, WILLIAMS BJ, 'EFFECT OF RAINFALL ERRORS ON ACCURACY OF DESIGN FLOOD ESTIMATES', WATER RESOURCES RESEARCH, 28 1145-1153 (1992)
DOI 10.1029/91WR03002
Citations Web of Science - 18
Co-authors Brian Williams
1992 KUCZERA G, 'WATER-SUPPLY HEADWORKS SIMULATION USING NETWORK LINEAR-PROGRAMMING', ADVANCES IN ENGINEERING SOFTWARE, 14 55-60 (1992)
DOI 10.1016/0965-9978(92)90084-S
Citations Scopus - 21Web of Science - 13
1991 Kuczera G, 'RORB calibration to incompatible multi-storm data', National Conference Publication - Institution of Engineers, Australia, 2 473-478 (1991)

The calibration of the RORB runoff-routing model to several storm events is considered. In a case study involving several Victorian catchments, it was found that the RORB paramete... [more]

The calibration of the RORB runoff-routing model to several storm events is considered. In a case study involving several Victorian catchments, it was found that the RORB parameters inferred from one storm event were frequently statistically incompatible with parameters inferred from other storms over the same catchment. Greatest inter-storm variation was displayed by the continuing loss parameter. This suggests that the concept of unique catchment parameters is questionable. The statistical implication of this on calibration and extrapolation to the design flood is considered. A random effects model is presented, which views storm parameters as being random and independent samples from a probability model; the random effects may be due to parameter bias arising from errors in catchment rainfall, or due to model simplification. Using this model the pooled mean and covariance matrix of the RORB parameters can be derived. Unlike simple averaging, the pooled mean makes explicit allowance for storm event data of varying quality. The computation of lower and upper bound prediction limits on the design hydrograph is discussed. It is found that the relative width of the prediction limits depends on what is believed to be the cause of incompatibility between storms and also on the depth of the design storm. Details are presented on the implementation of this pooling methodology using the NLFIT nonlinear regression program suite.

1991 Ng WS, Kuczera GA, 'Impact of demand uncertainty on the performance of urban headworks water supply systems', National Conference Publication - Institution of Engineers, Australia, 1 247-252 (1991)

Simulation of urban headworks water supply systems typically ignores uncertainty in demand. A methodology is presented for including demand uncertainty. In a case study using the ... [more]

Simulation of urban headworks water supply systems typically ignores uncertainty in demand. A methodology is presented for including demand uncertainty. In a case study using the trend extrapolation demand model it is shown that inclusion of demand uncertainty in the simulation can significantly reduce expected system reliability. A similar finding applies to uncertainty in streamflow model parameters. Another case study demonstrates that the use of static simulation techniques can lead to incorrect estimates to transient system performance especially in systems with large carryover capacity.

1991 Raper GP, Kuczera GA, 'Groundwater recharge estimation using a lumped-parameter catchment process model', National Conference Publication - Institution of Engineers, Australia, 2 563-568 (1991)

The variable contributing area concept of surface runoff generation is particularly relevant to a significant proportion of temperature and semi-arid Australian catchments where d... [more]

The variable contributing area concept of surface runoff generation is particularly relevant to a significant proportion of temperature and semi-arid Australian catchments where duplex soils or the presence of a layer of low permeability leads to the development of an ephemeral, perched water table at shallow depth. The perched water table may intersect the soil surface and therefore produce saturated overland flow. It may be the primary source of streamflow and its presence will significantly affect recharge to any deep, regional aquifer. A lumped-parameter catchment process model, CATPRO, explicitly including a perched aquifer, has been developed with the aim of predicting recharge rates to regional scale aquifers. The model requires daily rainfall and potential evapotranspiration data. It is calibrated to monthly streamflow data using the interactive, Bayesian parameter optimization scheme NLFIT. A case study is presented demonstrating the use of CATPRO to predict regional groundwater recharge and to compute confidence limits which quantify the effect of uncertainty in calibrated parameters, a methodology which has been used with only limited success to date.

1990 KUCZERA G, 'ESTIMATION OF RUNOFF-ROUTING MODEL PARAMETERS USING INCOMPATIBLE STORM DATA', JOURNAL OF HYDROLOGY, 114 47-60 (1990)
DOI 10.1016/0022-1694(90)90074-8
Citations Scopus - 15Web of Science - 15
1990 KUCZERA G, 'ASSESSING HYDROLOGIC MODEL NONLINEARITY USING RESPONSE-SURFACE PLOTS', JOURNAL OF HYDROLOGY, 118 143-161 (1990)
DOI 10.1016/0022-1694(90)90255-V
Citations Scopus - 10Web of Science - 12
1990 RETNAM MT, WILLIAMS BJ, KUCZERA G, 'SIMULATION OF AREALLY INTEGRATED SPATIAL-TEMPORAL RAINFALL FIELD FOR USE IN RAINFALL-RUNOFF MODELS', MATHEMATICS AND COMPUTERS IN SIMULATION, 32 107-112 (1990)
DOI 10.1016/0378-4754(90)90223-6
Citations Scopus - 1Web of Science - 1
Co-authors Brian Williams
1989 KUCZERA G, JAYASURIYA MD, OSHAUGHNESSY PJ, 'BUSHFIRE HYDROLOGY - THE CASE OF LEAKING WATERSHEDS - COMMENT', JOURNAL OF HYDROLOGY, 106 377-380 (1989)
DOI 10.1016/0022-1694(89)90081-4
Citations Scopus - 1
1989 KUCZERA G, 'FAST MULTIRESERVOIR MULTIPERIOD LINEAR-PROGRAMMING MODELS', WATER RESOURCES RESEARCH, 25 169-176 (1989)
DOI 10.1029/WR025i002p00169
Citations Scopus - 24Web of Science - 22
1989 KUCZERA G, 'AN APPLICATION OF BAYESIAN NONLINEAR-REGRESSION TO HYDROLOGIC-MODELS', ADVANCES IN ENGINEERING SOFTWARE AND WORKSTATIONS, 11 149-155 (1989)
DOI 10.1016/0141-1195(89)90044-2
Citations Scopus - 8Web of Science - 10
1988 KUCZERA G, 'ON THE VALIDITY OF 1ST-ORDER PREDICTION LIMITS FOR CONCEPTUAL HYDROLOGIC-MODELS', JOURNAL OF HYDROLOGY, 103 229-247 (1988)
DOI 10.1016/0022-1694(88)90136-9
Citations Scopus - 32Web of Science - 27
1988 KUCZERA G, DIMENT G, 'GENERAL WATER-SUPPLY SYSTEM SIMULATION-MODEL - WASP', JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 114 365-382 (1988)
Citations Scopus - 44Web of Science - 34
1987 KUCZERA G, 'ON MAXIMUM-LIKELIHOOD ESTIMATORS FOR THE MULTISITE LAG-ONE STREAMFLOW MODEL - COMPLETE AND INCOMPLETE DATA CASES', WATER RESOURCES RESEARCH, 23 641-645 (1987)
DOI 10.1029/WR023i004p00641
Citations Scopus - 14Web of Science - 11
1986 Kuczera GA, Diment GA, Kesari N, Guttmann PM, 'WASP: a general water supply system simulation model.', IN: HYDROLOGY AND WATER RESOURCES SYMP. 1986 ON RIVER BASIN MANAGEMENT, PREPRINTS, (BRISBANE, AUSTRALIA: NOV. 25-27, 1986), B, (1986)

WASP is a computer simulation package capable of efficiently simulating the headworks operation of a wide range of water supply systems. Its generality is due to the use of an eff... [more]

WASP is a computer simulation package capable of efficiently simulating the headworks operation of a wide range of water supply systems. Its generality is due to the use of an efficient linear programming algorithm (referred to as the network LP) which assigns water according to several criteria including user defined storage target curves. WASP has been designed to fully exploit this generally giving the user a versatile planning and operational tool. It enables rapid and effective assessment of changes to system configuration and/or operating policy. This paper discusses the principles used to develop WASP and presents a case study of the Melbourne system illustrating WASP's ability to simulate the historic operation of a complex system. (A)

Show 112 more journal articles

Conference (219 outputs)

Year Citation Altmetrics Link
2015 Newman AK, Kuczera G, Kavetski D, 'Application of particle filtering methods to a conceptual rainfall-runoff model', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.The Bayesian total error analysis (BATEA) framework allows model calibration and prediction informed by estimates of data and mod... [more]

© 2015, Engineers Australia. All rights reserved.The Bayesian total error analysis (BATEA) framework allows model calibration and prediction informed by estimates of data and model uncertainty. However, full BATEA applications are currently limited to studies with relatively short record lengths which do not require real-time updating of model predictions. This is due to the use of batch calibration strategies, which rapidly become computationally expensive when input and/or model errors are inferred directly. This study seeks to develop a recursive implementation of the BATEA framework based on particle filters that efficiently manage time invariant parameters and stochastic state variables. For real-time updating, recursive estimation techniques can be considerably faster than batch methods, facilitating the application of BATEA to applications such as forecasting. It is shown how particle filtering techniques, traditionally used in automatic control and signal processing applications, can be adapted to provide a robust recursive implementation of BATEA. This study assesses the performance of the resample-move particle filter using noise models that preserve physical constraints when applied to the calibration of a conceptual rainfall-runoff model with time-invariant parameters and time-varying model states.

2015 Kibria G, Maheswaran S, Kuczera G, 'Practical aspects of water supply system optimization: Use of optimization model in future planning', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.The aim of this paper is to share the experience gained during the development of an optimization model for Sydney's water supply... [more]

© 2015, Engineers Australia. All rights reserved.The aim of this paper is to share the experience gained during the development of an optimization model for Sydney's water supply system for the Metropolitan Water Plan (MWP) 2015. The objective is to identify the optimal portfolio for water supply and demand management measures to secure water for drought and for growth. In 2013, an optimisation model for Sydney's supply system called MetroNet based on Wathnet5 was developed for screening supply measures and optimization operation. The key objective is to minimise the total present worth cost of operating and augmenting the system while maximimising the demand that could be met without breaching the design criteria that constrain security and reliability. Using MetroNet, the current system called 'Reference' was optimised modifying its operating triggers without the introduction of any new supply measures. New supply measures were considered subsequently. The decision variables were selected based on previous knowledge gained during supply system yield estimation. The first two criteria were used as constraints in optimization. The outcomes of an optimisation are presented as a 'Pareto' optimal set of portfolios for which it is impossible to improve the performance on one objective without reducing the performance on another. The results of the optimization runs were analysed and trade-offs were explained to decision makers. This paper discusses the processe by which objectives were formulated and decisions selected as well as approximations to make optimization run times feasible.

2015 Rahman A, Haddad K, Haque MM, Kuczera G, Weinmann E, Stensmyr P, et al., 'The new regional flood frequency estimation model for Australia: RFFE model 2015', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.A new regional flood frequency estimation (RFFE) model for Australia has been developed as a part of 4th edition of Australian Ra... [more]

© 2015, Engineers Australia. All rights reserved.A new regional flood frequency estimation (RFFE) model for Australia has been developed as a part of 4th edition of Australian Rainfall and Runoff, which is referred to as 'RFFE Model 2015'. To develop and test this model, flood data from 853 gauged catchments have been utilised, which includes 798 gauged catchments from the humid coastal areas and 55 catchments from the arid and semi-arid areas. The model allows the derivation of design flood estimates for annual exceedance probabilities (AEP) of 50% to 1% for small to medium catchments anywhere in Australia. In the RFFE Model 2015, the humid coastal and arid/semi-arid areas of Australia have been divided into five and two different regions, respectively. The boundaries between the arid and humid coastal regions have been drawn approximately based on the 500 mm mean annual rainfall contour line. To reduce the effects of sharp variation in flood estimates for the ungauged catchments located close to these regional boundaries, seven fringe zones have been delineated. In the humid coastal regions, a region-of-influence approach has been adopted to derive design flood estimates for ungauged catchments. In developing the prediction model for the regionalised Log Pearson Type 3 distribution, a Bayesian generalised least squares regression technique has been applied, which considers the inter-station correlation and variation in record lengths of the annual maximum flood series across different sites. For the arid/semiarid regions, a simple index type regional method has been adopted. For easy application by the industry, an application tool has been developed, which automates the application of the RFFE Model 2015. The user is required to provide simple input data (e.g. catchment area and catchment location) to obtain design flood quantiles and associated uncertainty. This paper provides essential technical information, which will assist the user to apply the RFFE Model 2015 in practice with confidence. Further details can be found in the ARR draft chapter on regional flood methods and technical reports.

2015 Borwell R, Wen L, Rodriguez JF, Kuczera G, 'Emulating Macquarie Marshes hydrodynamics using river basin simulation based on network flow programming', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.This study investigated the potential to simulate a river basin with significant wetland hydrodynamics within a network flow prog... [more]

© 2015, Engineers Australia. All rights reserved.This study investigated the potential to simulate a river basin with significant wetland hydrodynamics within a network flow programming (NFP) framework. The Macquarie River Catchment, which encompasses the Macquarie Marshes, was selected as a case study to test the approach. The Marshes support water-dependent ecological communities which require flooding events, triggered through natural and environmental flows, to inundate wetland areas for ecologically sufficient periods of time. Ecological responses of the Macquarie Marshes with respect to inundation are currently simulated using the Macquarie Valley Integrated Quantity and Quality Model (IQQM). This model represents the Marshes hydraulics using a rules-based algorithm informed by detailed hydrodynamic modelling of the Marshes. However, the model does not have the potential to optimise water resource and ecological management. The primary objective of this study was to use NFP to emulate the Macquarie Marshes hydrodynamics in a manner consistent with the Macquarie Valley IQQM model. This paper presents and evaluates several NFP techniques to emulate the Marshes hydraulics. It was found that iterative use of NFP with side constraints almost exactly matched the emulator rules and implemented them more accurately than the IQQM model. This successful outcome will enable multi-criterion optimisation of the basin operation to deal directly with the ecological responses of water sensitive communities.

Co-authors Jose Rodriguez
2015 Qin Y, Kuczera G, Kavetski D, 'Revisiting the calibration of conceptual hydrological models using Newton-type optimization algorithms', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.Hydrological model calibration has benefited from rapid advances in optimization algorithms and computing power in the last few d... [more]

© 2015, Engineers Australia. All rights reserved.Hydrological model calibration has benefited from rapid advances in optimization algorithms and computing power in the last few decades. Stochastic evolutionary optimization methods have received particular attention because, compared to classical gradient-based algorithms, they are generally less sensitive to the irregularity, multi-optimality and non-smoothness of objective function surfaces commonly reported in calibration of hydrological models. In particular, the Shuffled Complex Evolution (SCE) search is currently one of the most widely used stochastic evolutionary optimization methods in hydrology. However, the improved robustness of evolutionary optimization usually comes at considerable computational cost. For example, the SCE search has been reported to become very expensive as the number of calibrated parameters increases. This work revisits the use of modern gradient-based algorithms. We investigate the performance of quasi-Newton and Gauss-Newton optimization algorithms using the hydrological models SIMHYD (7 parameters) and FUSE-536 (14 parameters) calibrated to three Australian catchments. These Newton-type algorithms are compared to the SCE search. Analysis of the objective function surfaces found micro-scale roughness and parameter insensitivity in both SIMHYD and FUSE-536. SCE search was the most robust algorithm for calibrating SIMHYD, but, somewhat surprisingly, struggled in the case of FUSE-536. In terms of computational costs, the Newton-type algorithms required about 20 times fewer objective function evaluations than SCE search for SIMHYD and 50 times fewer evaluations for FUSE-536. Taking into account the chance of converging to the global optimum and the computational cost, we suggest that modern Newton-type algorithms may be competitive with, or even outperform, the SCE search. Any improvements to the robustness of Newton-type algorithms will further strengthen this result.

2015 Lockart N, Willgoose G, Kuczera G, Kiem A, Chowdhury AFMK, Parana Manage N, 'Use of NARCliM rainfall data for simulating streamflow in the Williams River catchment', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.Reanalysis and General Circulation Model (GCM) rainfall projections can be used to predict future streamflow. This streamflow can... [more]

© 2015, Engineers Australia. All rights reserved.Reanalysis and General Circulation Model (GCM) rainfall projections can be used to predict future streamflow. This streamflow can then be used to assess the reliability of future water supply. The NSW/ACT Regional Climate Modelling (NARCliM) project has dynamically downscaled four GCMs (CCCMA3.1, CSIRO-Mk3.0, ECHAM5 and MIROC3.2) using three Regional Climate Models (RCMs) to produce twelve projections of high resolution spatially distributed climate data for three 20 year epochs (1990-2009, 2020-2039 and 2060-2079), as well as three 60 year reanalysis products for 1950-2009. This NARCliM data is expected to be used for a variety of climate change impact studies. In this study we assess the applicability of both the NARCliM bias-corrected and uncorrected rainfall data for water security assessment, using the Williams River Catchment as a case study. The NARCliM rainfall time series are input into a calibrated SimHyd model to generate streamflow. Compared to historical streamflows, the streamflows produced using all three NARCliM reanalysis have a similar seasonal cycle based on mean monthly streamflow volumes and autocorrelation analysis. The uncorrected streamflow volumes are higher than the historical volumes. The bias-corrected streamflow volumes are much closer to the historical but underestimate the historical streamflow volume at the higher elevations. For the GCM/RCM datasets, the uncorrected streamflow volumes tend to overestimate the historical streamflow volumes while the bias-corrected streamflow volumes tend to underestimate the historical streamflow volumes. An autocorrelation analysis revealed that for the CSIRO-Mk3.0, ECHAM5 and MIROC3.2 models the persistence in the streamflows is much stronger than the historical persistence.

Co-authors Anthony Kiem
2015 Berghout B, Henley BJ, Kuczera G, 'Impact of climate data uncertainty on estimated system yield', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.Time series simulation of reservoir behaviour using synthetically generated streamflow and rainfall data is an integral part of c... [more]

© 2015, Engineers Australia. All rights reserved.Time series simulation of reservoir behaviour using synthetically generated streamflow and rainfall data is an integral part of calculating drought risks for many water utilities in Australia. Two key parameters that are required for the generation of the synthetic climate data are the mean and standard deviation of the annual data for each site, these being estimated from historic data. Stedinger and Taylor (1982) explored the impact of uncertainty in these parameters on the simulation of reservoir behaviour and the size of reservoir that would be required in order to maintain a specified target release for a 50 year sequence of inflow. The contemporary focus of drought risk assessments is different and the decision making criteria now require substantially more computational effort. Today, the focus of the assessments is generally on how much water can be supplied from a given set of infrastructure for a given set of reliability targets, rather than on how large the infrastructure needs to be to meet the reliability target. Further, the reliability targets are commonly expressed in terms of low frequency events, which means that many replicates are required per assessment to estimate these low risks. In this paper the impact of uncertainty in the mean and standard deviation of the historic climate data is explored in terms of its impact on a contemporary calculation of system yield. It is found that the uncertainty in these parameters has an appreciable impact on uncertainty associated with the estimated system yield.

2015 Sandi S, Rodriguez J, Saco P, Saintilan N, Wen L, Kuczera G, 'Development of a vegetation dynamics model for freshwater wetland assessment in the Macquarie Marshes', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.The configuration of the Macquarie Marshes is a mosaic-like collection of swamps, marshes and lagoons. The Macquarie Marshes is a... [more]

© 2015, Engineers Australia. All rights reserved.The configuration of the Macquarie Marshes is a mosaic-like collection of swamps, marshes and lagoons. The Macquarie Marshes is also one of the most ecologically important wetland systems in Australia. It contains unique plant communities that serve as a sanctuary for many species of waterbirds and other fauna such as frogs and mammals. A significant deterioration of the ecological features of the Macquarie Marshes has been recorded in the past decades. This fact is mostly attributed to reductions of the input discharges to the marshes due to water allocations for industrial, agricultural and domestic usage. Reduction of water supply translates into changes of the hydraulic regime which has a direct impact on the flood dependent vegetation species of the marshes. The complexity of the system and its ecological significance requires the use of an adequate computational tool that would allow for a realistic assessment of the site. In this paper we present initial work regarding the development of a vegetation dynamics model that can integrate vegetation establishment with time aggregated characteristics of the flow. We simulate floods on a fictional wetland by implementing a quasi-2D hydrodynamic model (VHHMM 1.0) over a rectangular cell grid. This same grid constitutes the basis for a cellular vegetation model that can calculate changes in the vegetation for each element inside the domain. The work presented here for a fictional site was developed in order to test the capability of our model to recreate consistent vegetation gradients by using deterministic transitional rules. These rules relate time aggregated characteristics of the flow such as flood period and depth of water to water requirements of different vegetation communities. We found that a well calibrated set of deterministic transitional rules based on water preferences can recreate consistent vegetation distributions; however, succession and critical conditions for succession rules will have to be defined for a specific site application. Further development of this model will result in a strategic tool for managing environmental water allocations and water sharing plans in the Macquarie Marshes.

Co-authors Jose Rodriguez, Patricia Saco
2015 Kiem AS, Twomey C, Lockart N, Willgoose G, Kuczera G, 'The impact of East Coast Lows (ECL) on eastern Australia's hydroclimate - Do we need to consider sub-categories of ECLs?', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.East Coast Lows (ECLs) are intense low-pressure systems which occur over the subtropical east coasts of Southern Hemisphere conti... [more]

© 2015, Engineers Australia. All rights reserved.East Coast Lows (ECLs) are intense low-pressure systems which occur over the subtropical east coasts of Southern Hemisphere continents, including Australia. These systems are typically associated with gale-force winds, large seas, storm surges, heavy rainfall and flooding. While these ECL impacts are mostly negative the rainfall associated with ECLs is also very important for urban water security within the heavily populated eastern seaboard of Australian (ESA). This study examines historical ECLs to gain insights into the timing, frequency and location of ECL occurrence as well as the magnitude and spatial extent of ECL impacts on rainfall. The different characteristics and impacts associated with the different ECL sub-types are highlighted and it is demonstrated how this information can be used to stochastically simulate daily rainfall such that the statistics important for catchment scale hydrology (e.g. clustering of extreme events, long-term persistence, frequency/duration/magnitude of wet and dry spells etc.) are realistically preserved. These simulated rainfall sequences, that incorporate the spatial and temporal hydroclimatic variability caused by ECLs and other climate phenomena, are important inputs into hydrological models used to determine current and future urban water security.

Co-authors Anthony Kiem
2015 Lerat J, Pickett-Heaps CA, Shin D, Zhou S, Feikema P, Khan U, et al., 'Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.The Bureau of Meteorology recently released a new streamflow forecast product based on a dynamic approach where the forecasts are... [more]

© 2015, Engineers Australia. All rights reserved.The Bureau of Meteorology recently released a new streamflow forecast product based on a dynamic approach where the forecasts are generated with a lumped hydrological model (GR4J) that is forced by statistically downscaled rainfall forecasts obtained from the Bureau's Predictive Ocean Atmosphere Model for Australia (POAMA). This registered user service provides ensemble forecasts of the 1 month and 3 month streamflow volume at 100 locations across Australia. The forecast system is composed of three different components: (1) downscaling of gridded outputs from POAMA version M2.4 to catchment scale rainfall forecasts; (2) hydrological model calibrated with a statistical tool that accounts for predictive uncertainty (BATEA) and forced with downscaled rainfall forecasts; and (3) post processed streamflow forecasts to correct for residual biases and adjust the ensemble spread. In this paper, we describe the complexities involved and challenges faced in operationalising the dynamic approach. Performance of this system is reviewed by computing performance metrics for historical reforecast in a cross-validation framework. The forecast performance exceeds the one obtained with a climatological forecast for a vast majority of sites, for all metrics, and for both monthly and seasonal forecasts. In addition, it reaches a comparable level of performance with those derived from the existing statistical model (BJP) currently used by the Bureau to issue seasonal forecasts. These results demonstrate a major achievement considering the number of modelling components involved, their respective complexity, the number of forecast sites covered, the range of climate conditions encountered and the constraints of running such system in an operational setting Regardless of completion of this important milestone, the forecast skill could be improved under certain conditions, particularly in dry catchments and several forecast sites in Queensland and Tasmania.

2015 Nathan R, Scorah M, Jordan P, Lang S, Kuczera G, Schaefer MG, Weinmann E, 'A tail of two models: Estimating the annual exceedance probability of probable maximum precipitation', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.This paper describes the development and application of two largely independent methods to estimate the annual exceedance probabi... [more]

© 2015, Engineers Australia. All rights reserved.This paper describes the development and application of two largely independent methods to estimate the annual exceedance probability (AEP) of Probable Maximum Precipitation (PMP). One method is based on the Stochastic Storm Transposition (SST) approach, which combines the "arrival" and "transposition" probabilities of an extreme storm using the total probability theorem. The second method - termed "Stochastic Storm Regression" - combines frequency curves of point rainfalls with regression estimates of areal rainfalls; the regression relationship is derived using local and transposed storms, and the final exceedance probabilities are derived using the total probability theorem. The methods are applied to two large catchments (with areas of 3550 km2 and 15280 km2) located in inland southern Australia. In addition, the SST approach is used to derive regional estimates for standardised catchments within the Inland GSAM region. Careful attention is given to the uncertainty and sensitivity of the estimates to underlying assumptions, and the results are used to help formulate draft ARR recommendations.

2015 Kuczera G, Cui L, Xu C, Jeeveraj C, Canci M, 'Using multi-objective optimization as a tool for discovery: Development of operating rules for Perth's IWSS', The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (2015)

© 2015, Engineers Australia. All rights reserved.The Integrated Water Supply Scheme (IWSS) provides a secure water supply to the Perth region. This study reports on the findings ... [more]

© 2015, Engineers Australia. All rights reserved.The Integrated Water Supply Scheme (IWSS) provides a secure water supply to the Perth region. This study reports on the findings of a multi-objective optimization analysis to derive insights on the best ways to manage the current IWSS. With precedents based urban systems dominated by surface water, it was realized that the drying climate experienced by the Perth region in recent decades would make formulating the optimization problem itself a challenging task. The optimization had to be embedded in a discovery/learning process characterized by iterative review of results and reformulation to develop a deeper understanding of system behaviour and an adequate articulation of stakeholder needs. The key insights to emerge from this process were recognition of the major changes on system behaviour brought about by the drying trend in Perth's climate. With reduced dependence on surface water, reservoirs were found to operate in a narrow range, rarely spilling. Traditional drought contingency measures based on storage-triggered restrictions and a variable groundwater abstraction rule proved to be ineffective. The availability of surplus desalination water offers the prospect of banking water in underutilized reservoirs to provide a contingency source of water. However, a major cost trade-off is required to sustain high levels of banking.

2015 Chowdhury AFM, Lockart N, Willgoose GR, Kuczera G, Kiem AS, Parana Manage N, 'Modelling daily rainfall in East Coast of Australia using a Compound Distribution Markov Chain model', 36th Hydrology and Water Resources Symposium (2015) [E1]
Co-authors Garry Willgoose, Anthony Kiem
2015 Parana Manage N, Lockart N, Willgoose GR, Kuczera G, Kiem AS, Chowdhury AFM, 'Testing the statistics of dynamically down-scaled rainfall data for the east coast of NSW' (2015) [E1]
Co-authors Anthony Kiem, Garry Willgoose
2015 Lockart N, Willgoose GR, Kuczera G, Kiem AS, Chowdhury AFM, Parana Manage N, 'Use of NARCliM data and a Compound Distribution Markov Chain rainfall model for simulation of streamflow in the Williams River Catchment', 36th Hydrology and Water Resources Symposium (2015) [E1]
Co-authors Anthony Kiem, Garry Willgoose
2015 Kiem AS, Twomey CR, Lockart N, Willgoose GR, Kuczera G, 'The impact of East Coast Lows (ECL) on eastern Australia's hydroclimate - do we need to consider sub-categories of ECLs?', 36th Hydrology and Water Resources Symposium: the Art and Science of Water (2015) [E1]
Co-authors Garry Willgoose, Anthony Kiem
2015 Zhang L, Kuczera G, Kiem AS, 'Exploiting climate state information in urban water supply planning and operation' (2015) [E1]
Co-authors Anthony Kiem
2015 Lockart N, Willgoose GR, Kuczera G, Kiem AS, Chowdhury AFMK, Parana Manage N, 'Use of a stochastic rainfall generation model calibrated to NARCliM data to simulate runoff in the Lower Hunter for water security assessment', AMOS Annual Conference 2015 - Research to Community - Communicating our science (2015) [E3]
Co-authors Anthony Kiem, Garry Willgoose
2015 Parana Manage N, Lockart N, Willgoose GR, Kuczera G, Kiem AS, Chowdhury AFMK, 'Statistical validation of dynamically downscaled climate data for the Hunter Region of New South Wales, Australia', AMOS Annual Conference 2015 - Research to Community - Communicating our science (2015) [E3]
Co-authors Garry Willgoose, Anthony Kiem
2015 Chowdhury AFMK, Lockart N, Willgoose GR, Kuczera G, Parana Manage N, Kiem AS, 'A stochastic model for rainfall generation with long-term variability - calibration to NARCliM data at catchments with characteristic influence of East Coast Lows', AMOS Annual Conference 2015 - Research to Community - Communicating our science (2015) [E3]
Co-authors Anthony Kiem, Garry Willgoose
2015 Kiem AS, Twomey CR, Lockart N, Willgoose GR, Kuczera G, 'Spatial and temporal hydroclimatic variability in eastern Australia - quantifying the magnitude and spatial extent of East Coast Low (ECL) impacts', AMOS Annual Conference 2015 - Research to Community - Communicating our science (2015) [E3]
Co-authors Anthony Kiem, Garry Willgoose
2014 Brown A, Kuczera GA, Cui L, Xu C, Milligan N, Canci M, Jeevaraj C, 'Monthly Recharge Modelling for the Gnangara Mound', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 Mortazavi M, Kuczera GA, Kiem A, Henley B, Berghout B, Turner E, Cui L, 'Robust optimisation of urban water resource systems in the face of known and unknown unknowns', Engineers Australia (2014) [E1]
Co-authors Anthony Kiem
2014 Haddad K, Rahman A, Weinmann E, Kuczera GA, 'Development and Application of a Large Flood Regionalisation Model for Australia', Engineers Australia (2014) [E1]
2014 Li J, Thyer M, Lambert M, Kuczera GA, Metcalfe A, 'Seasonal Hybrid-CE Method for Estimating the Annual Flood Distribution', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 Rahman A, Haddad K, Haque M, Kuczera GA, Weinmann E, 'An Overview of Preparation of Streamflow Database for ARR Project 5 Regional Flood Method', Hydrology and Water Resources Symposium 2014 Proceedings (2014) [E1]
2014 Kibria G, Maheswaran S, Kuczera GA, 'Economic modelling functionality of SCA¿s Water Supply System Model (Wathnet) for Asset Planning', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 McInerney D, Thyer M, Kavetski D, Kuczera GA, 'Evaluating different approaches for using the Box-Cox transformation to model heteroscedasticity in residual errors of hydrological models', Engineers Australia (2014) [E1]
2014 Ishak E, Rahman A, Westra S, Sharma A, Kuczera GA, 'Trend Analysis of Australian Annual Maximum Flood Data: Exploring Relationship with Climate and Catchment Characteristics', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 Cui L, Kuczera GA, Xu C, Milligan N, Canci M, Jeeveraj C, Donnelly M, 'A Monthly Network Flow Program Emulator of the PRAMS Gnangara Groundwater Model', Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings (2014) [E1]
2014 Rahman A, Haddad K, Kuczera GA, Weinmann E, Weeks W, Stensmyr P, Babister M, 'An Overview of the Development of the New Regional Flood Frequency Estimation (RFFE) Model for Australia', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 Pedruco P, Nielsen C, Kuczera GA, Rahman A, 'Combining regional flood frequency estimates with an at site flood frequency analysis using a Bayesian framework: Practical considerations', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 Rahman A, Haque M, Haddad K, Rahman AS, Kuczera GA, Weinmann E, 'Assessment of the Impacts of Rating Curve Uncertainty on At-Site Flood Frequency Analysis: A Case Study for New South Wales, Australia', Hydrology and Water Resources Symposium 2014 Conference Proceedings (2014) [E1]
2014 Williams G, Kuczera G, 'Analyzing SCADA to understand the contribution of hydraulic pressures to trunk-main failure', Procedia Engineering (2014) [E2]

© 2014 The Authors. Water distribution networks throughout the world are ageing, which increasingly leads to sudden pipe failure. About 108 trunk-main pipe failures in an urban s... [more]

© 2014 The Authors. Water distribution networks throughout the world are ageing, which increasingly leads to sudden pipe failure. About 108 trunk-main pipe failures in an urban sub-network were investigated using a pipe failure data base and SCADA (Supervisory Control and Data Acquisition) data to understand the contribution of hydraulic pressure to pipe failure using multiple lines of evidence. The forensic investigation revealed a dominant system-wide failure mode which was characterized by predominately off-peak high speed pumping with limited pressure relief from downstream reservoirs. A frequency analysis was conducted for greater understanding of the dominant failure mode.

DOI 10.1016/j.proeng.2014.11.472
Citations Scopus - 2Web of Science - 2
2013 Willgoose GR, Kiem AS, Verdon-Kidd DC, Kuczera G, 'The influence of East Coast Lows on the water security of coastal New South Wales', Climate Adaptation 2013 Conference - knowledge + partnerships: Conference Abstracts (2013) [E3]
Co-authors Danielle Verdon, Garry Willgoose, Anthony Kiem
2013 Cui L, Kuczera G, Mortazavi M, 'Multi-objective optimization for water supply system with constraints handling', Proceedings of 2013 IAHR Congress© 2013 (2013) [E2]
2013 Cui L, Mortazavi M, Kuczera G, 'Application of Multi-Objective Optimization for Urban Water Resource Systems in Presence of Climate Change', World Environmental and Water Resources Congress 2013: Showcasing the Future (2013) [E2]
DOI 10.1061/9780784412947.282
Citations Scopus - 1
2013 Mortazavi M, Kuczera G, Cui L, 'How flexibility in urban water resource decisions helps to manage uncertainty?', Considering Hydrological Change in Reservoir Planning and Management: Proceedings of HO9, IAHS-IAPSO-IASPEI Assembly (2013) [E1]
Citations Scopus - 1Web of Science - 2
2013 Qin Y, Kuczera G, Kavetski D, 'A Robust Gauss-Newton Algorithm and Its Application to the Calibration of Conceptual Rainfall-runoff Models', PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS I AND II (2013)
2012 Henley BJ, Thyer MA, Kuczera GA, 'Climate-informed stochastic hydrological modeling: Incorporating decadal-scale variability using paleoclimate data', Abstracts of the 2012 AGU Fall Meeting (2012) [E3]
2012 Mahadeva K, Begg G, Kuczera GA, Littlejohns P, Maheswaran S, 'Optimisation and compliance with headworks design criteria for a complex system', WDSA 2012 Water Distribution Systems Analysis Conference (2012) [E2]
2012 Haddad K, Rahman A, Kuczera GA, Weinmann E, 'A new regionalisation model for large flood estimation in Australia. Consideration of inter-site dependence in modelling', Proceedings of the 2012 Hydrology and Water Resources Symposium (2012) [E1]
2012 Li J, Thyer M, Lambert M, Kuczera GA, Metcalfe A, 'A hybrid method for efficiently estimating the annual flood distribution under a changing climate', Proceedings of the 2012 Hydrology and Water Resources Symposium (2012) [E1]
2012 Rahman A, Zaman M, Haddad K, Kuczera GA, Weinmann E, Weeks W, et al., 'Development of a new regional flood frequency analysis method for semi-arid and arid regions of Australia', Proceedings of the 2012 Hydrology and Water Resources Symposium (2012) [E1]
Citations Scopus - 1
2012 Rahman A, Haddad K, Zaman M, Kuczera GA, Weinmann E, Weeks W, 'Regional flood estimation in Australia: An overview of the study for the upgrade of 'Australian Rainfall and Runoff'', Proceedings of the 2012 Hydrology and Water Resources Symposium (2012) [E1]
Citations Scopus - 2
2012 Newman AK, Kuczera GA, Kavetski D, 'Towards a recursive Bayesian total error analysis framework', Proceedings of the 2012 Hydrology and Water Resources Symposium (2012) [E1]
2012 Mortazavi Naeini SM, Kuczera GA, Cui L, 'Application of multi objective optimization for managing urban drought security in the presence of population growth', Hydroinformatics 2012 : Understanding Changing Climate and Environment and Finding Solutions. Proceedings of the 10th International Conference (2012) [E2]
2011 Mortazavi Naeini SM, Cui L, Kuczera GA, 'Application of multi objective ant colony optimization for managing urban drought security in the presence of population growth', Earth on the Edge - Science For A Sustainable Planet: IUGG XXV General Assembly Online Abstract Proceedings (2011) [E3]
2011 Kuczera GA, Micevski T, Hackelbusch A, Rahman A, Haddad K, 'Regional flood frequency analysis using Bayesian generalized least squares in a region-of-influence context', Earth on the Edge - Science For A Sustainable Planet: IUGG XXV General Assembly Online Abstract Proceedings (2011) [E3]
2011 Evin G, Kavetski DN, Kuczera GA, Thyer M, 'Modelling rainfall errors within a Bayesian rainfall-runoff inference framework', Earth on the Edge - Science For A Sustainable Planet: IUGG XXV General Assembly Online Abstract Proceedings (2011) [E3]
2011 Haddad K, Rahman A, Kuczera GA, Micevski T, 'Regional flood frequency analysis in New South Wales using Bayesian GLS regression: Comparison of fixed region and region-of-influence approaches', Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics (2011) [E1]
2011 Micevski T, Thyer M, Kuczera GA, 'A behavioural approach for household outdoor water use modelling', Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics (2011) [E1]
2011 Thyer M, Renard B, Kavetski DN, Kuczera GA, Clark M, 'Improving hydrological model predictions by incorporating rating curve uncertainty', Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics (2011) [E1]
2011 Kavetski DN, Evin G, Clark MP, Thyer MA, Kuczera GA, Renard B, et al., 'Battling hydrological monsters: Insights into numerical approximations, data uncertainty and structural errors', Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics (2011) [E1]
2011 Ishak EH, Rahman A, Westra S, Sharma A, Kuczera GA, 'Trends in peak streamflow data in Australia: Impacts of serial and cross-correlation', Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics (2011) [E1]
2011 Graddon AR, Kuczera GA, Hardy MJ, 'Simulation and optimisation of integrated urban water management schemes', Proceedings of the 34th World Congress of the International Association for Hydro- Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics (2011) [E1]
2011 Barbour EJ, Driver PD, Kuczera GA, Blakers RS, Croke BFW, 'Optimizing environmental flow rules - A conceptual model', MODSIM 2011: 19th International Congress on Modelling and Simulation Proceedings (2011) [E1]
Citations Scopus - 1Web of Science - 1
2011 Haddad K, Rahman A, Weeks W, Kuczera GA, Weinmann PE, 'Towards a new regional flood frequency analysis method for Western Australia', MODSIM 2011: 19th International Congress on Modelling and Simulation Proceedings (2011) [E1]
Citations Scopus - 2
2011 Micevski T, Lerat J, Kavetski DN, Thyer M, Kuczera GA, 'Exploring the utility of multi-response calibration in river system modelling', MODSIM2011, 19th International Congress on Modelling and Simulation Proceedings (2011) [E1]
Citations Scopus - 2Web of Science - 1
2011 Thyer M, Micevski T, Kuczera G, Coombes P, 'A behavioural approach to stochastic end use modelling', Proceedings of Ozwater '11, Australia¿s National Water Conference and Exhibition (2011) [E3]
2011 Haddad K, Uddin MJ, Rahman A, Kuczera G, Weinmann E, 'A new flood Regionalisation model for large flood estimation in Australia', 11th International Multidisciplinary Scientific Geoconference and EXPO - Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2011 (2011) [E1]
2010 Kavetski DN, Renard B, Clark MP, Fenecia F, Thyer MA, Kuczera GA, Franks SW, 'Battling hydrological monsters: Distinguishing between data uncertainty, structural errors and numerical artifacts in rainfall-runoff modelling', Geophysical Research Abstracts (2010) [E3]
2010 Renard B, Leblois E, Kavetski DN, Thyer MA, Kuczera GA, Franks SW, 'Towards a reliable decomposition of uncertainty in hydrologic modeling using independent data analysis: Characterizing rainfall errors using conditional simulation', Geophysical Research Abstracts (2010) [E3]
2010 Thyer MA, Kavetski DN, Renard B, Kuczera GA, 'The value of streamflow rating curve data for improving hydrological predictions', Geophysical Research Abstracts (2010) [E3]
2010 Kavetski DN, Renard B, Clark M, Thyer MA, Kuczera GA, 'Resolving the individual contributors to total modeling error in conceptual hydrology: Data, structural and numerical errors', 2010 AGU Fall Meeting. Program and Abstracts (2010) [E3]
2010 Ishak EH, Rahman A, Westra S, Sharma A, Kuczera GA, 'Preliminary analysis of trends in Australian flood data', Proceedings of the World Environmental and Water Resources Congress 2010 (2010) [E2]
Citations Scopus - 2
2010 Cui L, Kuczera GA, 'Coping with climate change uncertainty using robust multi-objective optimization: Application to urban water supply systems', Practical Responses to Climate Change National Conference 2010 (2010) [E3]
2009 Thyer MA, Engeland K, Renard B, Kuczera GA, Franks SW, 'Validation of uncertainty estimates in hydrologic modelling', Geophysical Research Abstracts (2009) [E3]
2009 Kavetski DN, Thyer MA, Kuczera GA, Renard B, 'Bayesian total error analysis for hydrological modelling: Software and applications', 8th IAHS Scientific Assembly and 37th IAH Congress (2009) [E3]
2009 Graddon AR, Kuczera GA, Hardy MJ, 'The modelling of urban water supply, harvesting and recycling systems using network linear programs', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Hackelbusch A, Micevski T, Kuczera GA, Rahman A, Haddad K, 'Regional flood frequency analysis for eastern New South Wales: A region of influence approach using generalized least squares log Pearson 3 parameter regression', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Haddad K, Pirozzi J, McPherson G, Zaman M, Rahman A, Kuczera GA, 'Regional flood estimation technique for NSW: Application of generalised least squares quantile regression technique', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Henley BJ, Thyer MA, Kuczera GA, Franks SW, 'How long do phases of the Interdecadal Pacific Oscillation (IPO) persist? Utilising palaeoclimate data in stochastic hydrology', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Kuczera GA, Cui L, Gilmore R, Graddon AR, 'Addressing the shortcomings of water resource simulation models based on network linear programming', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Mortazavi Naeini SM, Cui L, Kuczera GA, 'Application of multiobjective optimization methods for urban water management: A case study for Canberra water supply system', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Renard B, Leblois E, Kuczera GA, Kavetski DN, Thyer MA, Franks SW, 'Characterizing errors in areal rainfall estimates: Application to uncertainty quantification and decomposition in hydrologic modelling', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Senz AK, Kuczera GA, 'Estimation of rainfall-runoff model parameters using regionalized flow duration curves', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Srikanthan R, Kuczera GA, Thyer MA, ''Calibrate it twice': A simple resampling method for incorporating parameter uncertainty in stochastic data generation', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Thyer MA, Duncan H, Coombes PJ, Kuczera GA, Micevski T, 'A probabilistic behavioural approach for the dynamic modelling of indoor household water use', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Willgoose GR, Kuczera GA, 'Conference editors', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E4]
Co-authors Garry Willgoose
2009 McArdle P, Gleeson J, Hammond T, Heslop E, Holden R, Kuczera GA, 'Throsby Creek stormwater harvesting for potable reuse', H2009: Proceedings of H2009, the 32nd Hydrology and Water Resources Symposium (2009) [E1]
2009 Blackmore JM, Dandy GC, Kuczera GA, Rahman J, 'Making the most of modelling: A decision framework for the water industry', 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Proceedings (2009) [E1]
Citations Scopus - 4Web of Science - 2
2009 Gilmore R, Kuczera GA, Penton D, Podger G, 'Improving the efficiency of delivering water in Australian river systems: Modelling multiple paths', 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Proceedings (2009) [E1]
Citations Scopus - 4Web of Science - 2
2009 Thyer MA, Renard B, Kavetski DN, Kuczera GA, 'Impact of runoff measurement error models on the quantification of predictive uncertainty in rainfall-runoff models', 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Proceedings (2009) [E1]
2009 Cui L, Kuczera GA, 'Multi-objective optimization analysis for the Canberra water supply system', Hydroinformatics in Hydrology, Hydrogeology and Water Resources: Proceedings of Symposium JS.4 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the Internat (2009) [E1]
2009 Mortazavi Naeini SM, Kuczera GA, Cui L, 'Comparison of genetic algorithm and ant colony optimization methods for optimization of short-term drought mitigation strategies', Hydroinformatics in Hydrology, Hydrogeology and Water Resources: Proceedings of Symposium JS.4 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the Internat (2009) [E1]
Citations Scopus - 1
2009 Qin J, Leonard M, Kuczera GA, Thyer MA, Metcalfe A, Lambert M, 'A high-resolution hierarchical space-time framework for single storm events and its application for short-term rainfall forecasting', New Approaches to Hydrological Prediction in Data-Sparse Regions: Proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and The Interna (2009) [E1]
2009 Cui L, Mortazavi Naeini SM, Kuczera GA, 'Comparison of multi-objective genetic algorithm with ant colony optimization: A case study for Canberra water supply system', Proceedings of the 33rd IAHR Congress: Water Engineering for a Sustainable Environment (2009) [E2]
2008 Renard B, Thyer MA, Kuczera GA, Kavetski DN, Franks SW, 'Bayesian total error analysis for hydrologic models: Perspectives for regionalisation', Geophysical Research Abstracts (2008) [E3]
2008 Cui L, Kuczera GA, Srikanthan R, Qin J, 'Short-term rainfall forecasting using a Bayesian Stochastic rainfall model coupled with numerical weather prediction', AOGS 2008 Abstracts (2008) [E3]
2008 Micevski T, Kuczera GA, 'A general and practical Bayesian procedure for regional and at-site flood frequency analysis', Proceedings of Water Down Under 2008 (2008) [E1]
2008 Henley BJ, Thyer MA, Kuczera GA, Franks SW, 'Evaluating drought risk dynamics: Comparison of a climate-informed multi-time scale stochastic (CIMSS) framework to the AR(1) model', Proceedings of Water Down Under 2008: Incorporating 31st Hydrology and Water Resources Symposium, and, 4th International Conference on Water Resources and Environment Research (2008) [E1]
2008 Kuczera GA, 'Urban water supply drought security: A comparative analysis of complimentary centralised and decentralised storage systems', Proceedings of Water Down Under 2008: Incorporating 31st Hydrology and Water Resources Symposium, and, 4th International Conference on Water Resources and Environment Research (2008) [E1]
2008 Qin J, Leonard M, Kuczera GA, Thyer MA, Metcalfe A, Lambert M, 'A high resolution spatio-temporal model for single storm events based on radar images', Proceedings of Water Down Under 2008: Incorporating 31st Hydrology and Water Resources Symposium, and, 4th International Conference on Water Resources and Environment Research (2008) [E1]
2008 Cui L, Thyer MA, Coombes PJ, Kuczera GA, 'A stochastic model for identifying the long term dynamics of indoor household water uses', Proceedings of Water Down Under 2008: Incorporating 31st Hydrology and Water Resources Symposium, and, 4th International Conference on Water Resources and Environment Research (2008) [E1]
2008 Renard B, Kuczera GA, Kavetski DN, Thyer MA, Franks SW, 'Bayesian total error analysis for hydrologic models: Quantifying uncertainities arising from input, output and structural errors', Proceedings of Water Down Under 2008: Incorporating 31st Hydrology and Water Resources Symposium, and, 4th International Conference on Water Resources and Environment Research (2008) [E1]
2008 Zaman AM, Etchells TM, Malano HM, Davidson B, Thyer MA, Kuczera GA, 'Presenting a next generation irrigation (NGenIrr) demand model', Proceedings of Water Down Under 2008: Incorporating 31st Hydrology and Water Resources Symposium, and, 4th International Conference on Water Resources and Environment Research (2008) [E1]
2008 Henley BJ, Thyer MA, Kuczera GA, Franks SW, 'Short-term drought risk dynamics: The impact of multi-decadal climate variability and the water supply system properties', World Environmental and Water Resources Congress 2008 (2008) [E1]
2008 Kavetski DN, Thyer MA, Renard B, Kuczera GA, Franks SW, Srikanthan S, 'Scrutinizing parameter consistency and predictive uncertainty in rainfall-runoff models using Bayesian total error analysis', World Environmental and Water Resources Congress 2008 (2008) [E1]
2008 Thyer MA, Renard B, Kavetski DN, Kuczera GA, Franks SW, Srikanthan S, 'Investigating the impact of predicitive uncertainity in rainfall-runoff modelling on storage reliability estimates using Bayesian total error analysis', World Environmental and Water Resources Congress 2008 (2008) [E1]
2008 Kuczera GA, 'There are no hydrological monsters, only models with huge uncertainties!', The Court of Miracles of Hydrology: A Scientific Workshop. Book of Abstracts (2008) [E3]
2008 Thyer MA, Renard B, Kavetski DN, Kuczera GA, Franks SW, Srikanthan S, 'Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis', The Court of Miracles of Hydrology: A Scientific Workshop. Book of Abstracts (2008) [E3]
2008 Cui L, Kuczera GA, 'The replicate compression heuristic for improving efficiency of urban water supply headworks optimization', Proceedings of the 16th IAHR-APD Congress and 3rd Symposium of IAHR-ISHS (2008) [E1]
DOI 10.1007/978-3-540-89465-0_63
2008 Kavetski DN, Renard B, Kuczera GA, Thyer MA, Franks SW, 'Quantifying input and model errors in conceptual rainfall-runoff models using Bayesian total error analysis', Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2008) (2008) [E3]
2008 Henley BJ, Thyer MA, Kuczera GA, Franks SW, 'Incorporating multi-time scale variability into stochastic hydrological models used for drought risk estimation', EOS, Transactions American Geophysical Union (2008) [E3]
2008 Kavetski DN, Renard B, Kuczera GA, Thyer MA, Franks SW, 'Analysis of input and model errors in conceptual rainfall-runoff models using Bahesian hierarchial methods', EOS, Transactions American Geophysical Union (2008) [E3]
2008 Renard B, Franks SW, Kavetski DN, Kuczera GA, Thyer MA, 'Identifiability of input and structural errors in hydrologic modelling', EOS, Transactions American Geophysical Union (2008) [E3]
2008 Thyer MA, Renard B, Kavetski DN, Franks SW, Kuczera GA, Western A, Walker JP, 'Identifying input error and model error in Conceptual Rainfall-Runoff Models: A preliminary analysis using densely-instrumented experimental catchments', EOS, Transactions American Geophysical Union (2008) [E3]
2008 Kavetski DN, Renard B, Thyer MA, Kuczera GA, Franks SW, 'Bayesian total error analysis using expected-likelihood methods for characterizing input and model uncertainty', EOS, Transactions American Geophysical Union (2008) [E3]
2007 Cui L, Kuczera GA, Srikanthan R, Amirthanathan GE, Thyer MA, Micevski T, 'Short-term rainfall forecasting using a Bayesian hierarchical rainfall burst model coupled with numerical weather prediction', 2nd International Conference of GIS/RS in Hydrology, Water Resources and Environment (ICGRHWE'07). 2nd International Symposium on Flood Forecasting and Management with GIS and Remote Sensing (FM2S'07) (2007) [E1]
2007 Srikanthan R, Amirthanathan GE, Kuczera GA, 'Application of ensemble kalman filter to real-time flood forecasting', 2nd International Conference of GIS/RS in Hydrology, Water Resources and Environment (ICGRHWE'07). 2nd International Symposium on Flood Forecasting and Management with GIS and Remote Sensing (FM2S'07) (2007) [E1]
2007 Hardy M, Coombes PJ, Kuczera GA, 'Determination of the catchment scale impacts of spatially distributed rainwater tanks', WSUD2004 (2007) [E3]
2007 Cui L, Thyer MA, Coombes PJ, Kuczera GA, 'A hidden state Markov Model for identifying the long term dynamics of indoor household water uses', Rainwater and Urban Design Conference 2007 (2007) [E1]
2007 Hardy M, Kuczera GA, Coombes PJ, Barbour E, Jurd K, 'An evaluation of the performance of the application of the urbanCycle Model to a gauged urban catchment', Rainwater and Urban Design Conference 2007 (2007) [E1]
2007 Allison J, Kuczera GA, 'Fluvial dynamics of gutter debris systems in rainwater harvesting', Rainwater and Urban Design Conference 2007 (2007) [E1]
2007 Kavetski DN, Kuczera GA, Thyer MA, Renard B, 'Multistart Newton-type optimisation methods for the calibration of conceptual hydrological models', MODSIM 2007 International Congress on Modelling and Simulation. Proceedings (2007) [E1]
Citations Scopus - 1Web of Science - 1
2007 Henley BJ, Thyer MA, Kuczera GA, 'Seasonal stochastic rainfall modelling using climate indices: A Bayesian Hierarchical Model', MODSIM 2007 International Congress on Modelling and Simulation. Proceedings (2007) [E1]
2007 Kuczera GA, Kavetski DN, Renard B, Thyer MA, 'Bayesian total error analysis for hydrologic models: Markov Chain Monte Carlo methods to evaluate the posterior distribution', MODSIM 2007 International Congress on Modelling and Simulation. Proceedings (2007) [E1]
Citations Scopus - 1Web of Science - 1
2007 Srikanthan R, Amirthanathan GE, Kuczera GA, 'Real-time flood forecasting using emsemble kalman filter', MODSIM 2007 International Congress on Modelling and Simulation. Proceedings (2007) [E1]
Citations Scopus - 1
2007 Perraud J-M, Kuczera GA, Bridgart RJ, 'Towards a software architecture to facilitate multiple runs of simulation models', MODSIM 2007 International Congress on Modelling and Simulation. Proceedings (2007) [E1]
Citations Scopus - 1
2007 Renard B, Thyer MA, Kuczera GA, Kavetski DN, 'Bayesian total error analysis for hydrological models: Sensitivity to error models', MODSIM 2007 International Congress on Modelling and Simulation. Proceedings (2007) [E1]
Citations Scopus - 1Web of Science - 1
2007 Thyer MA, Renard B, Kavetski DN, Kuczera GA, Srikanthan S, 'Bayesian total error analysis for hydrological models: Preliminary evaluation using multi-site catchment rainfall data', Proceedings of MODSIM 2007 International Congress on Modelling and Simulation (2007) [E1]
Citations Scopus - 2Web of Science - 1
2006 Kavetski D, Franks SW, Kuczera GA, 'Bayesian analysis of data and model error in rainfall-runoff hydrological models', 2004 American Geophysical Union Fall Meeting (2006) [E3]
2006 Cui L, Kuczera GA, 'Application of a multi-objective optimization for water supply system decision support', Hydrological Sciences For Managing Water Resources In The Asian Developing World and 2nd GWSP Asia Network Workshop (2006) [E3]
2006 Barbour E, Kuczera GA, Manning SA, 'Analysis of the effectiveness of the 'gutter helmet' in maximising rainwater capture and minimising roof debris capture', 7th International Conference on Urban Drainage Modelling and the 4th International Conference on Water Sensitive Urban Design (7UDM + 4WSUD) (2006) [E1]
2006 Hardy MJ, Kuczera GA, Coombes PJ, 'Embedded Hierarchical Network Modelling: A Means to Integrate Across Scales and Systems', Book of Proceedings - 7th International Conference on Urban Drainage Modelling and the 4th International Conference on Water Sensitive Urban Design (7UDM + 4WSUD) (2006) [E1]
2006 Henley BJ, Thyer MA, Kuczera GA, Franks SW, 'Incorporating long-term climate information into stochastic models of annual hydrological data: a bayesian hierarchical approach', 30th Hydrology and Water Resources Symposium (2006) [E1]
2006 Leonard M, Lambert M, Metcalfe A, Kuczera GA, 'A simulation method for calibrating cluster-process rainfall models', 30th Hydrology and Water Resources Symposium (2006) [E1]
2006 Micevski T, Kuczera GA, Franks SW, 'A bayesian hierarchical regional flood model', 30th Hydrology and Water Resources Symposium (2006) [E1]
2006 Leonard M, Kuczera GA, Thyer MA, Metcalfe A, Lambert M, Qin J, 'Statistical characteristics of rainstorms derived from weather radar images', 30th Hydrology and Water Resources Symposium (2006) [E1]
2006 Thyer MA, Frost A, Kuczera GA, Srikanthan R, 'Stochastic modelling of (not-so) long-term hydrological data: current status and future research', 30th Hydrology and Water Resources Symposium (2006) [E1]
2005 Jefferson CE, Holz LM, Hardy MJ, Kuczera GA, 'Integrated urban water management: Combining multi-criterion optimization and decision analysis', Proceedings of the 2005 ASCE International Conference on Computing in Civil Engineering (2005) [E1]
Citations Scopus - 4
2005 Micevski T, Franks SW, Kuczera GA, 'Multidecadal Variability In Queensland Flood Data', 29th Hydrology and Water Resources Symposium (2005) [E1]
2005 Frost AJ, Thyer MA, Srikanthan R, Kuczera GA, 'Stochastic Generation Of Multi-Site Hydrological Data At Annual Timescales', 29th Hydrology and Water Resources Symposium (2005) [E1]
2005 Holz LM, Kuczera GA, Kalma JD, 'Beyond Weights And Discounting: Decision Analysis Tools For Integrated Planning', Second International Conference on Sustainable Development and Planning - Sustainable Development and Planning II (2005) [E1]
Co-authors Jetse Kalma
2005 Kuczera GA, Kavetski D, Franks SW, Thyer MA, 'Characterizing Model Error In Conceptual Rainfall-Runoff Models Using Storm-Dependent Parameters', MODSIM05 : International Congress on Modelling and Simulation : advances and applications for management and decision making, Melbourne, 12-15 December (2005) [E1]
Citations Scopus - 1Web of Science - 1
2005 Thyer MA, Frost A, Kuczera GA, 'Stochastic Models Of Long-Term Hydrological Data Using A Bayesian Approach: The Challenges Of Multi-Site Data', 2005 AGU Fall Meeting (2005) [E3]
2005 Norman D, Crockett J, Kuczera GA, Pinzone T, 'We Must Do More Now! - Future Water Issues The Engineers Australia Viewpoint', Ozwater Convention and Exhibition (2005) [E3]
2004 Coombes PJ, Kuczera GA, 'Moving towards systems understanding of integrated water cycle management', Joint RSA - Australian Workshop on Water Resource Management (2004) [E1]
2004 Holz LM, Kuczera GA, Kalma JD, 'Sustainable Urban Water Resource Planning In Australia: A Decision Sciences Perspective', 2004 International Conference on Water Sensitive Urban Design (2004) [E1]
Co-authors Jetse Kalma
2004 Jefferson CE, Holz LM, Hardy MJ, Berghout RF, Coombes PJ, Kuczera GA, 'Multi-Objective Optimisation Of The Urban Water Cycle Management Using A Parallel Genetic Algorithm', 2004 International Conference on Water Sensitive Urban Design (2004) [E1]
2004 Hardy MJ, Coombes PJ, Kuczera GA, 'An Investigation Of Estate Level Impacts Of Spatially Distributed Rainwater Tanks', 2004 International Conference on Water Sensitive Urban Design (2004) [E1]
2004 Hardy MJ, Kuczera GA, Coombes PJ, 'Integrated Urban Water Cycle Management: The UrbanCycle Model', 4th World Water Congress (2004) [E3]
2004 Micevski T, Kuczera GA, Franks SW, 'A Bayesian Hierarchical Nonhomogeneous Regional Flood Model For New South Wales, Australia', Proceedings of the 2004 World Water and Environmental Resources Congress (2004) [E2]
2004 Whiting J, Lambert M, Metcalfe A, Kuczera GA, 'Development Of Non-Homogeneous And Hierarchical Hidden Markov Models For Modelling Monthly Rainfall And Streamflow Time Series', Proceedings of the 2004 World Water and Environmental Resources Congress (2004) [E2]
2004 Frost AJ, Thyer MA, Srikanthan R, Kuczera GA, 'Stochastic Generation Of Multi-Site Hydrological Data At Annual Timescales', 16th Australia New Zealand Climate Forum: Climate And Water (2004) [E3]
2004 Spinks AT, Dunstan RH, Coombes PJ, Kuczera GA, 'Bacterial Water Quality of Rainwater Fed Domestic Hotwater Systems', IWA Leading Edge Sustainability (2004) [E3]
Co-authors Hugh Dunstan
2004 Spinks AT, Dunstan RH, Kuczera GA, 'Urban Rainwater Harvesting: A Comparative Review of Source Water Quality', IWA Leading Edge Sustainability (2004) [E3]
Co-authors Hugh Dunstan
2003 Willgoose GR, Hancock GR, Kuczera G, 'Testing an erosion-based landform evolution model using objective statistics' (2003) [E1]
Co-authors Greg Hancock, Garry Willgoose
2003 Frost AJ, Kuczera GA, 'Regional Hidden Markov Models: Comparison With The HMM And Switch HMM For Modelling Inter-Annual Persistence In Annual Rainfall', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Wyatt AM, Franks SW, Kuczera GA, Chiew F, 'An Automatic, Multi-Structured Hydrological Modelling Scheme', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Coombes PJ, Kuczera GA, 'Analysis Of The Performance Of Rainwater Tanks In Australian Capital Cities', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Coombes PJ, Kuczera GA, 'A Sensitivity Analysis Of An Investment Model Used To Determine The Economic Benefits Of Rainwater Tanks', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Cui L, Kuczera GA, 'Optimisation Of Water Supply Headworks Operation Using Parallel Genetic Algorithms', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Coombes PJ, Thyer MA, Frost AJ, Kuczera GA, Grimster I, 'Development Of Stochastic Multisite Rainfall And Urban Water Demand For The Central Coast Region Of New South Wales', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Micevski T, Kiem AS, Franks SW, Kuczera GA, 'Multidecadal Variability In New South Wales Flood Data', 28th International Hydrology And Water Resources Symposium (2003) [E1]
Co-authors Anthony Kiem
2003 Hardy MJ, Jefferson CE, Coombes PJ, Kuczera GA, 'Integrated Urban Water Cycle Management: Redefining The Boundaries', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Micevski T, Kuczera GA, Franks SW, 'Bayesian Flood Regionalisation For New South Wales', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Kavetski DN, Franks SW, Kuczera GA, 'An Overview Of Data And Model Error Analysis In Rainfall-Runoff Modelling', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Coombes PJ, Holz LM, Kuczera GA, 'The Impact Of Supply And Demand Management Approaches On The Security Of Sydney's Water Supply', 28th International Hydrology And Water Resources Symposium (2003) [E1]
2003 Kuczera GA, Lambert M, Heneker T, Jennings S, Frost AJ, Coombes PJ, 'Joint Probability And Design Storms At The Crossroads', 28th International Hydrology And Water Resources Symposium (2003) [E2]
2003 Spinks AT, Coombes PJ, Dunstan RH, Kuczera GA, 'Water Quality Treatment Processes in Domestic Rainwater Harvesting Systems', About Water (2003) [E1]
Co-authors Hugh Dunstan
2003 Spinks AT, Dunstan RH, Coombes PJ, Kuczera GA, 'Thermal Destruction Analyses of Water Related Pathogens at Domestic Hot Water System Temperatures', About Water (2003) [E1]
Co-authors Hugh Dunstan
2003 Kuczera GA, Coombes PJ, Dunstan RH, Spinks AT, Holz LM, Kalma JD, 'Integrated Management Of The Urban Water Cycle From The Allotment To The Regional Scale: Opportunities And Benefits', Proceedings Of The International Conference On Water And Environment (WE-2003) (2003) [E2]
Co-authors Jetse Kalma, Hugh Dunstan
2003 Hardy M, Jefferson CE, Coombes PJ, Kuczera GA, 'Integrated Water Management: Towards Systems Understanding', 28th International hydrology and Water Resources Symposium (2003) [E3]
2002 Kuczera GA, Lambert M, Jennings S, Frost AJ, Heneker T, Coombes PJ, 'Are Design Rainfalls A Things Of The Past?', 2002 NZWWA Modelling Conference (2002) [E2]
2002 Coombes PJ, Kuczera GA, 'Integrated Urban Water Cycle Management: Moving Towards Systems Understanding', 2nd National Conference On Water Sensitive Urban Design (2002) [E2]
2002 Kuczera GA, Coombes PJ, 'Towards Continuous Simulation: A Comparative Assessment Of Flood Performance Of Volume-Sensitive Systems', Exploding The Myths: Stormwater Driving The Water Cycle Balance (2002) [E2]
2002 Coombes PJ, Micevski T, Kuczera GA, 'Deterioration, Depreciation And Serviceability Of Stormwater Pipes', Exploding The Myths: Stormwater Driving The Water Cycle Balance (2002) [E2]
2002 Frost AJ, Thyer MA, Kuczera GA, 'Modelling annual rainfall variability using a switch hidden state Markov model', Proceedings of the 3rd International Conference on Water Resources and Environment Research (2002) [E1]
2002 Srikanthan R, Thyer MA, Kuczera GA, McMahon TA, '. Modelling of Annual Rainfall Using a Hidden State Markov Model', Proceedings of the iEMSs 2002 Conference (2002) [E1]
2002 Srikanthan R, Kuczera GA, Thyer MA, McMahon TA, 'Generation Of Annual Rainfall Data For Australian Stations', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Kavetski DN, Franks SW, Kuczera GA, 'A New Approach To Model Calibration: Bayesian Analysis Of Total Errors', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Coombes PJ, Kuczera GA, Kalma JD, 'Economic, Water Quantity And Quality Results From A House With A Rainwater Tank In The Inner City', Hydrology And Water Resources Symposium 2002 (2002) [E1]
Co-authors Jetse Kalma
2002 Green J, Weimann E, Laurenson E, Nathan R, Kuczera GA, 'Estimation Of Storm Arrival Probabilities In The GSAM Inland Zone - Storm Data Evaluation', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Franks SW, Kuczera GA, 'Flood Frequency Analysis And Multi-Decadal Climate Varibility', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Frost AJ, Kuczera GA, Thyer M, 'Modelling Regional Long Term Persistence In Rainfall Using Switch Hidden State Markov Models', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Heneker TM, Lambert MF, Kuczera GA, 'Overcoming The Joint Probability Problem Associated With Initial Loss Estimation In Design Flood Estimation', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Coombes PJ, Frost AJ, Kuczera GA, O'Loughlin G, Lees S, 'Rainwater Tank Options For Stormwater Management In The Upper Parramatta River Catchment', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Jennings S, Lambert M, Frost AJ, Kuczera GA, 'Regionalisation Of A High Resolution Point Rainfall Model', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Metcalfe A, Heneker TM, Lambert MF, Kuczera GA, Atan I, 'A Comparison Of Models For Catchment Runoff', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2002 Micevski T, Kuczera GA, Coombes PJ, 'Modelling Stormwater Pipe Deterioration', Hydrology And Water Resources Symposium 2002 (2002) [E1]
2001 Coombes PJ, Kuczera GA, 'Rainwater tank design for water supply and stormwater management', Proceedings of the 5th Regional Conference on Urban Stormwater Management (2001) [E2]
2001 Kuczera GA, Coombes PJ, 'A Systems Perspective of the Urban Water Cycle: New Insights, New Opportunities', Proceedings of the 5th Regional Conference on Urban Stormwater Management (2001) [E2]
2001 Cui L, Kuczera GA, 'Optimization of Urban Water Supply Using Parallel Genetic Algorithms and Replicate Compression', Proceedings of Theme A XXIX IAHR Congress (2001) [E2]
2000 Bell LSJ, Binning PJ, Kuczera GA, Kau PMH, 'Assessing parameter uncertainty in models of diffusion cell experiments', Groundwater 2000 (2000) [E2]
2000 Kuczera GA, Williams BJ, Binning PJ, Lambert M, 'An Education Web Site for Free Water Engineering', Hydro 2000 Proceedings Volume 1 (2000) [E1]
Co-authors Brian Williams
2000 Thyer MA, Kuczera GA, 'Generating Streamflow Data at Multiple Sites using a Monthly Rainfall-Runoff Transformation', Hydro 2000 Proceedings Volume 1 (2000) [E1]
2000 Thyer MA, Kuczera GA, 'A New Approach for Modelling Long Term Rainfall Persistence at Multiple Sites', Hydro 2000 Proceedings Volume 1 (2000) [E1]
2000 Frost AJ, Jennings S, Thyer MA, Lambert M, Kuczera GA, 'Droughts, Floods and Everything Else In Between', Hydro 2000 Proceedings Volume 1 (2000) [E1]
2000 Coombes PJ, Kuczera GA, Kalma JD, 'Economic Benefits Arising From Use of Water Sensitive Urban Development Source Control Measures', Hydro 2000 Proceedings Volume 1 (2000) [E1]
Co-authors Jetse Kalma
2000 Coombes PJ, Kuczera GA, Kalma JD, Dunstan HR, 'Rainwater Quality From Roofs, Tanks and Hot Water Systems at Figtree Place', Hydro 2000 Proceedings Volume 1 (2000) [E1]
Co-authors Jetse Kalma
2000 Coombes PJ, Kuczera GA, Kalma JD, 'A Probabilistic Behavioural Model for Simulation of Exhouse Water Demand', Hydro 2000 Proceedings Volume 1 (2000) [E1]
Co-authors Jetse Kalma
2000 Agho KE, Kuczera GA, Green J, Weinmann E, Laurenson E, 'Estimation of Extreme Rainfall Exceedance Probabilities: Nondimensional Stochastic Storm Transposition', Hydro 2000 Proceedings Volume 1 (2000) [E1]
2000 Thyer MA, Kuczera GA, 'Modelling long-term rainfall persistence at multiple sites', Proceedings of the Computational Methods in Water Resources (2000) [E1]
2000 Coombes PJ, Kuczera GA, Argue JR, Kalma JD, 'Costing of Water Cycle Infrastructure Savings Arising From Water Sensitive Urban Design Source Control', Proceedings of the Second International Conference on Decision Making (2000) [E2]
Co-authors Jetse Kalma
2000 Kuczera GA, 'Modelling long-term rainfall persistence at multiple sites', Proceedings of the XIII International Conference on Computational Methods in Water Resources (2000) [E2]
2000 Kavetski DN, Franks SW, Kuczera GA, 'Calibration of hydrologic models: The role of input errors', Proceedings of the XIII International Conference on Computational Methods in Water Resources (2000) [E2]
Citations Scopus - 2
2000 Binning PJ, Kau PMH, Bell LSJ, Smith DW, Kuczera GA, 'Flouride Transport in Clay Barriers: Interpretation of Laboratory Batch and Diffusion Cell Experiments', Towards Better Management of Wastes and Contaminated Sites in the Australasia-Pacific Region (2000) [E2]
1999 Bell LSJ, Binning PJ, Kau PMH, Kuczera GA, 'Model identification and parameter estimation ina one-dimensional model of contaminant transport incorporating nonlinear sorption', 25th Hydrology & Water Resources Symposium, Handbook & Proceedings (1999) [E1]
1999 Pearse MA, Laurenson EM, Kuczera GA, 'Extreme Rainfall and Flood Probabilities', 25th Hydrology & Water Resources Symposium, Handbook & Proceedings (1999) [E1]
1999 Cui GC, Kuczera GA, Dandy G, 'Optimization of Urban Water Supply Headworks Operation: Some Challenges', 25th Hydrology & Water Resources Symposium, Handbook & Proceedings (1999) [E1]
1999 Heneker TM, Lambert MF, Kuczera GA, 'DRIP: A Disaggregated Rectangular Intensity Pulse Model of Point Rainfall', 25th Hydrology & Water Resources Symposium, Handbook & Proceedings (1999) [E1]
1999 Thyer MA, Kuczera GA, 'Modelling Long Term Persistence in Rainfall Time Series: A Sydney Rainfall Case Study', 25th Hydrology & Water Resources Symposium, Handbook & Proceedings (1999) [E1]
1999 Wooldridge SA, Kalma JD, Kuczera GA, 'Parameterisation of a statistical hydrology model for impact assessment of land-use change', International Congress on Modelling and Simulation Proceedings (1999) [E1]
Co-authors Jetse Kalma
1999 Bell LSJ, Binning PJ, Kau PMH, Kuczera GA, 'Model Identification and Parameter Estimation in a one-dimensional model of contaminant transport incorporating nonlinear sorption', Proceedings for the 1999 Contaminated Site Remediation conference (1999) [E2]
1999 Stephens ML, Kuczera GA, 'Testing the time-area urban runofff model at the allotment scale', Proceedings of the Eighth International Conference on Urban Storm Drainage (1999) [E1]
1999 Coombes PJ, Kuczera GA, Argue JR, Cosgrove F, Bridgeman DH, Enright K, 'Design, monitoring and performance of the sensitive urban redevelopment at figtree place in Newcastle', Proceedings of the Eighth International Conference on Urban Storm Drainage (1999) [E1]
1998 Bell LSJ, Binning PJ, Kau PMH, Kuczera GA, 'Predictive uncertainty in models of fluoride transport through clay liners: use of laboratory results in field scale and heterogeneous simulations', 1998 Abstract Book National Ground Water Association's 50th Year Anniversary Edition (1998) [E3]
1998 Coombes PJ, Kuczera GA, Argue JJ, Argue JR, 'Water Sensitive Urban Redevelopment: The', Proceedings Hydra Storm '98 (1998) [E1]
1997 Mroczkowski M, Kuczera G, 'Modelling of streamflow, stream chloride and groundwater in five experimental catchments in Western Australia', HYDROCHEMISTRY (1997)
1996 Lambert M, Kuczera G, 'Approximate joint probability analysis of extreme water levels in coastal catchments', STOCHASTIC HYDRAULICS '96 (1996)
1996 Lambert M, Kuczera G, 'A statistical model of rainfall and temporal patterns', STOCHASTIC HYDRAULICS '96 (1996)
Citations Web of Science - 4
1995 WILLGOOSE G, KUCZERA G, 'ESTIMATION OF SUBGRID SCALE KINEMATIC WAVE PARAMETERS FOR HILLSLOPES', HYDROLOGICAL PROCESSES (1995)
DOI 10.1002/hyp.3360090316
Citations Scopus - 11Web of Science - 6
Co-authors Garry Willgoose
1994 BERGHOUT B, KUCZERA G, 'APPLICATION OF NETWORK LINEAR-PROGRAMMING TO THE PIPE NETWORK PROBLEM', 1994 INTERNATIONAL CONFERENCE ON HYDRAULICS IN CIVIL ENGINEERING - HYDRAULICS WORKING WITH THE ENVIRONMENT, PREPRINTS OF PAPERS (1994)
Citations Web of Science - 2
1993 KUCZERA G, PATTERSON E, 'ESTIMATION OF INFILTRATION AND OVERLAND-FLOW PARAMETERS USING A PORTABLE SPRINKLE INFILTROMETER', HYDROLOGY AND WATER RESOURCES SYMPOSIUM - TOWARDS THE 21ST CENTURY (1993)
1993 KUCZERA G, HILL I, 'IMPLEMENTING CAPACITY SHARING USING NETWORK LINEAR-PROGRAMMING', HYDROLOGY AND WATER RESOURCES SYMPOSIUM - TOWARDS THE 21ST CENTURY (1993)
1993 RAPER GP, KUCZERA G, 'APPLICATION OF STREAM SALINITY DATA TO HYPOTHESIS-TESTING IN CONCEPTUAL CATCHMENT MODEL DEVELOPMENT', HYDROLOGY AND WATER RESOURCES SYMPOSIUM - TOWARDS THE 21ST CENTURY (1993)
1993 RAPER GP, KUCZERA G, 'THE PREDICTION OF UNOBSERVED CATCHMENT RESPONSES WITH A CONCEPTUAL CATCHMENT MODEL CALIBRATED TO MULTIPLE TIME-SERIES DATA', HYDROLOGY AND WATER RESOURCES SYMPOSIUM - TOWARDS THE 21ST CENTURY (1993)
Show 216 more conferences

Report (1 outputs)

Year Citation Altmetrics Link
2013 Mortazavi M, Kuczera G, Kiem AS, Henley B, Berghout B, Turner E, 'Robust optimisation of urban drought security for an uncertain climate. Final report', National Climate Change Adaptation Research Facility (NCCARF), 84 (2013) [R1]
Co-authors Anthony Kiem
Edit

Grants and Funding

Summary

Number of grants 80
Total funding $9,745,483

Click on a grant title below to expand the full details for that specific grant.


20161 grants / $450,000

Remotely sensed forest water use in space and time$450,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Associate Professor Partick Lane, Dr Shane Haydon, Dr Arko Lucieer
Scheme Linkage Projects
Role Lead
Funding Start 2016
Funding Finish 2020
GNo G1501196
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20154 grants / $598,454

Optimal scheduling of urban bulk urban water systems under uncertainty$322,954

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Mr Golam Kibria
Scheme Linkage Projects
Role Lead
Funding Start 2015
Funding Finish 2018
GNo G1401371
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Spatiotemporal variation in forest water use across Melbourne's water catchments$145,000

Funding body: Melbourne Water

Funding body Melbourne Water
Project Team Professor George Kuczera
Scheme Research Funding
Role Lead
Funding Start 2015
Funding Finish 2015
GNo G1500835
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

Optimal scheduling of urban bulk urban water systems under uncertainty$120,000

Funding body: Sydney Catchment Authority

Funding body Sydney Catchment Authority
Project Team Professor George Kuczera, Mr Golam Kibria
Scheme Linkage Projects Partner Funding
Role Lead
Funding Start 2015
Funding Finish 2017
GNo G1401435
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

A robust integrated streamflow forecasting framework for Australian water information and management agencies$10,500

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Dmitri Kavetski, Professor George Kuczera, Dr Mark Thyer, Narenda Tuteja, Daehyok Shin, Alan Seed, Julien Lerat, John Tibaldi, Martyn Clark, Andrew Wood
Scheme Linkage Projects
Role Lead
Funding Start 2015
Funding Finish 2017
GNo G1500622
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20142 grants / $113,000

Estimating climate change induced changes to rainfall and runoff in NSW – Stage 2$65,000

Funding body: NSW Office of Environment and Heritage

Funding body NSW Office of Environment and Heritage
Project Team Professor Garry Willgoose, Ms Natalie Lockart, Professor George Kuczera
Scheme Research Grant
Role Investigator
Funding Start 2014
Funding Finish 2014
GNo G1400765
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

Collaborative research program for modelling of hydrology and climate change impacts in the Macquarie marshes$48,000

Funding body: NSW Office of Environment and Heritage

Funding body NSW Office of Environment and Heritage
Project Team Doctor Jose Rodriguez, Professor George Kuczera, Doctor Patricia Saco, Professor Neil Saintilan, Li Wen
Scheme Research Grant
Role Investigator
Funding Start 2014
Funding Finish 2016
GNo G1400786
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

20125 grants / $550,000

The influence of East Coast Lows on the water security of coastal New South Wales$300,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Garry Willgoose, Doctor Anthony Kiem, Doctor Danielle Verdon-Kidd, Professor George Kuczera, Dr Brendan Berghout, Dr Shahadat Chowdhury, Dr Fei Ji
Scheme Linkage Projects
Role Investigator
Funding Start 2012
Funding Finish 2015
GNo G1101084
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

The influence of East Coast Lows on the water security of coastal New South Wales$100,000

Funding body: NSW Office of Environment and Heritage

Funding body NSW Office of Environment and Heritage
Project Team Professor Garry Willgoose, Doctor Anthony Kiem, Doctor Danielle Verdon-Kidd, Professor George Kuczera, Dr Brendan Berghout, Dr Shahadat Chowdhury, Dr Fei Ji
Scheme Research Grant
Role Investigator
Funding Start 2012
Funding Finish 2014
GNo G1100760
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

NARCliM (NSW and ACT Regional Climate Modelling) Project$80,000

Funding body: NSW Office of Environment and Heritage

Funding body NSW Office of Environment and Heritage
Project Team Professor Garry Willgoose, Professor George Kuczera, Doctor Patricia Saco
Scheme Research Grant
Role Investigator
Funding Start 2012
Funding Finish 2012
GNo G1200117
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

The influence of East Coast Lows on the water security of coastal New South Wales$50,000

Funding body: NSW Department of Finance and Services

Funding body NSW Department of Finance and Services
Project Team Professor Garry Willgoose, Doctor Anthony Kiem, Doctor Danielle Verdon-Kidd, Professor George Kuczera, Dr Brendan Berghout, Dr Shahadat Chowdhury, Dr Fei Ji
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2012
Funding Finish 2015
GNo G1300846
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

The influence of East Coast Lows on the water security of coastal New South Wales$20,000

Funding body: Hunter Water Corporation

Funding body Hunter Water Corporation
Project Team Professor Garry Willgoose, Doctor Anthony Kiem, Doctor Danielle Verdon-Kidd, Professor George Kuczera, Dr Brendan Berghout, Dr Shahadat Chowdhury, Dr Fei Ji
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2012
Funding Finish 2015
GNo G1300845
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

20115 grants / $1,230,914

The development of IWWS operating rules project$708,857

Funding body: Water Corporation WA

Funding body Water Corporation WA
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski
Scheme Research Grant
Role Lead
Funding Start 2011
Funding Finish 2013
GNo G1100406
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

Robust streamflow predictions by improving the identification of hydrological model structure $240,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Dmitri Kavetski, Professor George Kuczera, Dr Mark Thyer, Associate Professor Stewart Franks, Dr Ross Woods
Scheme Discovery Projects
Role Lead
Funding Start 2011
Funding Finish 2013
GNo G1000250
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Robust optimization of urban drought security for an uncertain climate$217,381

Funding body: NCCARF (National Climate Change Adaptation Research Facility)

Funding body NCCARF (National Climate Change Adaptation Research Facility)
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski, Doctor Anthony Kiem
Scheme Adaptation Research Network Settlements and Infrastructure
Role Lead
Funding Start 2011
Funding Finish 2014
GNo G1100916
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON Y

Robust optimization of urban drought security for an uncertain climate$50,000

Funding body: Hunter Water Corporation

Funding body Hunter Water Corporation
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski, Doctor Anthony Kiem
Scheme Adaptation Research Network Settlements and Infrastructure Partner Funding
Role Lead
Funding Start 2011
Funding Finish 2014
GNo G1200664
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

New methods for mapping variation in forest water use in time and space$14,676

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Linkage Projects
Role Lead
Funding Start 2011
Funding Finish 2014
GNo G1100782
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20106 grants / $800,000

Adapting Bayesian Total Error Analysis (BATEA) to River Systems Modelling$200,000

Funding body: CSIRO - Water for a Healthy Country National Research Flagship

Funding body CSIRO - Water for a Healthy Country National Research Flagship
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski, Dr Mark Thyer
Scheme Flagship Project
Role Lead
Funding Start 2010
Funding Finish 2011
GNo G1000702
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON Y

An integrated modelling approach for the efficient management of irrigated landscapes$185,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski, Dr Mark Thyer, Associate Professor Stewart Franks, Dr Benny Selle, Dr Faith Githui, Dr Thabo Thayalakumaran
Scheme Linkage Projects
Role Lead
Funding Start 2010
Funding Finish 2013
GNo G0900126
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

A new flood design methodology for a variable and changing climate$170,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Dr Martin Lambert, Professor George Kuczera, Doctor Mark Thyer, Dr Andrew Metcalfe
Scheme Discovery Projects
Role Lead
Funding Start 2010
Funding Finish 2012
GNo G1000389
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Supply of Bayesian Total Error Analysis (BATEA)$125,000

Funding body: Bureau of Meteorology

Funding body Bureau of Meteorology
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski, Doctor Mark Thyer
Scheme Research Project
Role Lead
Funding Start 2010
Funding Finish 2011
GNo G1000556
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON Y

An integrated modelling approach for the efficient management of irrigated landscapes$100,000

Funding body: Department of Primary Industries (VIC)

Funding body Department of Primary Industries (VIC)
Project Team Professor George Kuczera, Conjoint Professor Dmitri Kavetski, Dr Mark Thyer, Associate Professor Stewart Franks, Dr Benny Selle, Dr Faith Githui, Dr Thabo Thayalakumaran
Scheme Linkage Projects Partner Funding
Role Lead
Funding Start 2010
Funding Finish 2013
GNo G0900196
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

Improving flood forecasting via robust handling of data and model uncertainties in hydrologic predictions$20,000

Funding body: Department of Innovation, Industry, Science and Research

Funding body Department of Innovation, Industry, Science and Research
Project Team Conjoint Professor Dmitri Kavetski, Doctor Mark Thyer, Professor George Kuczera, Associate Professor Stewart Franks
Scheme International Science Linkages Programme - French Australian Science and Technology Programme (FAST)
Role Lead
Funding Start 2010
Funding Finish 2011
GNo G0190512
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20081 grants / $1,911,646

E-Water Core projects for July 2008 to June 2012$1,911,646

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Professor George Kuczera, Doctor Mark Thyer, Doctor Jose Rodriguez, Conjoint Professor Dmitri Kavetski
Scheme Project Grant
Role Lead
Funding Start 2008
Funding Finish 2012
GNo G0189275
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

20078 grants / $516,725

Efficient and Robust Prediction at Ungauged Catchments$180,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Doctor Mark Thyer, Associate Professor Stewart Franks
Scheme Discovery Projects
Role Lead
Funding Start 2007
Funding Finish 2009
GNo G0186316
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Multicriteria optimization of water resources planning and operating decisions$93,354

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Professor George Kuczera
Scheme Postgraduate Research Scholarship
Role Lead
Funding Start 2007
Funding Finish 2009
GNo G0187888
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

A stochastic space-time model of rainfall fields in large heterogeneous regions$85,649

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Doctor Mark Thyer
Scheme Discovery Projects
Role Lead
Funding Start 2007
Funding Finish 2009
GNo G0187275
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Project J2 - New approaches to Modelling$53,679

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Professor George Kuczera
Scheme Project Grant
Role Lead
Funding Start 2007
Funding Finish 2008
GNo G0188169
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

Regional-Scale Urban tools$39,413

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Mr Peter Coombes, Professor George Kuczera
Scheme Project Grant
Role Investigator
Funding Start 2007
Funding Finish 2007
GNo G0188223
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

Urban water cycle models with network intellegence$35,661

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Professor George Kuczera
Scheme Postgraduate Research Scholarship Top-up funding
Role Lead
Funding Start 2007
Funding Finish 2009
GNo G0187889
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

(61) Environmental Engineering Research Group$26,469

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Publication Performance Grant
Role Lead
Funding Start 2007
Funding Finish 2008
GNo G0187972
Type Of Funding Internal
Category INTE
UON Y

2nd International COnference of GIS/RS in Hydrology, Water resources and Environment, Guangzhou, China, 7/9/2007 - 13/9/2007$2,500

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 2007
Funding Finish 2007
GNo G0188210
Type Of Funding Internal
Category INTE
UON Y

20066 grants / $919,798

Innovative WSUD intervention strategies to counter deteriorating infrastructure and environments, and evolving urban form$562,756

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Conjoint Associate Professor Peter Coombes, Doctor Mark Thyer, Professor George Kuczera, Doctor Jose Rodriguez
Scheme Project Grant
Role Investigator
Funding Start 2006
Funding Finish 2007
GNo G0186203
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

Total error framework for model calibration$321,739

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Mark Thyer
Scheme Project Grant
Role Lead
Funding Start 2006
Funding Finish 2007
GNo G0186204
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

A New Algorithm to Improve the Estimation of Soil Moisture via Remote Sensing and Enhance Hydrological Prediction$19,226

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor Mark Thyer, Professor George Kuczera
Scheme Pilot Grant
Role Investigator
Funding Start 2006
Funding Finish 2007
GNo G0186684
Type Of Funding Internal
Category INTE
UON Y

Improving Predictions of Streamflow at Ungauged Catchments Using a New Paradigm in Catchment Model Calibration$10,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera, Associate Professor Stewart Franks, Doctor Mark Thyer
Scheme Near Miss Grant
Role Lead
Funding Start 2006
Funding Finish 2006
GNo G0186069
Type Of Funding Internal
Category INTE
UON Y

eWater Minor Projects (refs: 2.B.201, 2.B.202, 2.E.201, 2.E.202, 2.F.202)$4,062

Funding body: CRC for eWater

Funding body CRC for eWater
Project Team Conjoint Associate Professor Peter Coombes, Professor George Kuczera
Scheme Project Grant
Role Investigator
Funding Start 2006
Funding Finish 2006
GNo G0186206
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

Hydrological Siences for Managing Water Resources in the Asian Developing World June 8-10, 2006$2,015

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 2006
Funding Finish 2006
GNo G0186594
Type Of Funding Internal
Category INTE
UON Y

20052 grants / $117,844

A Bayesian Hierarchical Approach for Simulating Multi-time Scale Hydrological Variability for Water Resource Planning$87,844

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Doctor Mark Thyer, Associate Professor Stewart Franks, Professor George Kuczera, Dr Martin Lambert, Dr Andrew Metcalfe, Dr Brendan Berghout
Scheme Linkage Projects
Role Investigator
Funding Start 2005
Funding Finish 2008
GNo G0185051
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

A Bayesian Hierarchical Approach for Simulating Multi-time Scale Hydrological Variability for Water Resource Planning$30,000

Funding body: Hunter Water Corporation

Funding body Hunter Water Corporation
Project Team Doctor Mark Thyer, Associate Professor Stewart Franks, Professor George Kuczera, Dr Martin Lambert, Dr Andrew Metcalfe
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2005
Funding Finish 2007
GNo G0185999
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

20042 grants / $93,965

Stochastic Spatial Rainfall Model for Risk Assessment$92,500

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Discovery Projects
Role Lead
Funding Start 2004
Funding Finish 2006
GNo G0183778
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Conference on Water Sensitive Urban Design: Cities As Catchments, 22-24 November 2004$1,465

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 2004
Funding Finish 2004
GNo G0184901
Type Of Funding Internal
Category INTE
UON Y

20038 grants / $428,500

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$335,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects
Role Investigator
Funding Start 2003
Funding Finish 2007
GNo G0182827
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$35,000

Funding body: NSW Department of Commerce

Funding body NSW Department of Commerce
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2006
GNo G0183256
Type Of Funding Not Known
Category UNKN
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$12,000

Funding body: Analytical Reference Laboratories Pty Ltd

Funding body Analytical Reference Laboratories Pty Ltd
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2006
GNo G0183254
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$12,000

Funding body: Great Lakes Council

Funding body Great Lakes Council
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2006
GNo G0183257
Type Of Funding Not Known
Category UNKN
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$12,000

Funding body: Hastings Council

Funding body Hastings Council
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2006
GNo G0183259
Type Of Funding Not Known
Category UNKN
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments. $12,000

Funding body: Greater Taree City Council

Funding body Greater Taree City Council
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2006
GNo G0184497
Type Of Funding Other Public Sector - Local
Category 2OPL
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$9,000

Funding body: Midcoast County Council

Funding body Midcoast County Council
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2005
GNo G0183258
Type Of Funding Other Public Sector - Local
Category 2OPL
UON Y

The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments$1,500

Funding body: Hunter Water Corporation

Funding body Hunter Water Corporation
Project Team Professor Hugh Dunstan, Associate Professor Phillip Geary, Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Doctor Tim Roberts, Mrs G Calabria, Mr R Iyadurai, Mr S Wilson, Mr B Brooker, Mr D Pensini, Ms A Kaliska, Mr B Petersen, Mr G Carter, Emeritus Professor Ellak Von Nagy-Felsobuki, Mr P Santoro
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2003
Funding Finish 2003
GNo G0183251
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

20028 grants / $919,617

Optimal Source Control in Urban Water Cycle Management$299,142

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Professor Hugh Dunstan, Emeritus Professor Jetse Kalma, Dr Brendan Berghout, Mr I Grimster
Scheme Linkage Projects
Role Lead
Funding Start 2002
Funding Finish 2004
GNo G0181151
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Modelling long-term hydrological persistence using hidden state Markov models$261,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Associate Professor Stewart Franks, Dr Andrew Metcalfe
Scheme Discovery Projects
Role Lead
Funding Start 2002
Funding Finish 2004
GNo G0181086
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Optimal Source Control in Urban Water Cycle Management.$100,000

Funding body: Brisbane City Council

Funding body Brisbane City Council
Project Team Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Professor Hugh Dunstan, Emeritus Professor Jetse Kalma, Dr Brendan Berghout, Mr I Grimster
Scheme Linkage Projects Partner Funding
Role Lead
Funding Start 2002
Funding Finish 2005
GNo G0182251
Type Of Funding Other Public Sector - Local
Category 2OPL
UON Y

Optimal Source Control in Urban Water Cycle Management.$94,000

Funding body: Hunter Water Corporation

Funding body Hunter Water Corporation
Project Team Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Professor Hugh Dunstan, Emeritus Professor Jetse Kalma, Dr Brendan Berghout, Mr I Grimster
Scheme Linkage Projects Partner Funding
Role Lead
Funding Start 2002
Funding Finish 2005
GNo G0182249
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

Optimal Source Control in Urban Water Cycle Management.$94,000

Funding body: Gosford-Wyong Council`s Water Authority

Funding body Gosford-Wyong Council`s Water Authority
Project Team Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Professor Hugh Dunstan, Emeritus Professor Jetse Kalma, Dr Brendan Berghout, Mr I Grimster
Scheme Linkage Projects Partner Funding
Role Lead
Funding Start 2002
Funding Finish 2005
GNo G0182250
Type Of Funding Other Public Sector - Local
Category 2OPL
UON Y

Optimal Source Control in Urban Water Cycle Management.$60,000

Funding body: Hunter Region Organisation of Councils

Funding body Hunter Region Organisation of Councils
Project Team Professor George Kuczera, Conjoint Associate Professor Peter Coombes, Professor Hugh Dunstan, Emeritus Professor Jetse Kalma, Dr Brendan Berghout, Mr I Grimster
Scheme Linkage Projects Partner Funding
Role Lead
Funding Start 2002
Funding Finish 2004
GNo G0182252
Type Of Funding Other Public Sector - Local
Category 2OPL
UON Y

Elemental flow modelling in biofilms from urban rainwater storage tanks$10,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Hugh Dunstan, Professor George Kuczera
Scheme Project Grant
Role Investigator
Funding Start 2002
Funding Finish 2002
GNo G0181365
Type Of Funding Internal
Category INTE
UON Y

27th Hydrology and Water Resources Symposium, Institution of Engineers, Australia Melbourne, 21-23 May 2002$1,475

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 2002
Funding Finish 2002
GNo G0181817
Type Of Funding Internal
Category INTE
UON Y

20003 grants / $152,706

A new approach for calibration and identification of hydrologic models$149,747

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Associate Professor Stewart Franks
Scheme Large Grant
Role Lead
Funding Start 2000
Funding Finish 2002
GNo G0178560
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Hydro 2000, Perth 20-23 November 2000$1,655

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 2000
Funding Finish 2000
GNo G0180409
Type Of Funding Internal
Category INTE
UON Y

Water 99 Joint Congress consisting of 2nd International Conference on Water Resources and Environment Research and 25th Hydrology and Water Resources Symposium.$1,304

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 2000
Funding Finish 2000
GNo G0179354
Type Of Funding Internal
Category INTE
UON Y

19993 grants / $226,240

An improved rainfall simulation model for use in engineering analysis and risk assessment$152,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Dr Martin Lambert
Scheme Large Grant
Role Lead
Funding Start 1999
Funding Finish 2001
GNo G0177782
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Estimation of Extreme Rainfall Risks - Shared Grant with Monash University$63,240

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Strategic Partnerships with Industry - Research & Training Scheme (SPIRT)
Role Lead
Funding Start 1999
Funding Finish 2001
GNo G0178435
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Development of Realistic Parameter Inference in Environmental Models: The Role of Forcing Errors.$11,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera, Associate Professor Stewart Franks
Scheme Project Grant
Role Lead
Funding Start 1999
Funding Finish 1999
GNo G0178100
Type Of Funding Internal
Category INTE
UON Y

19982 grants / $151,483

On-Site Management of Urban Stormwater$96,600

Funding body: Newcastle City Council

Funding body Newcastle City Council
Project Team Professor George Kuczera
Scheme Newcastle Environmental Achievement Award
Role Lead
Funding Start 1998
Funding Finish 2001
GNo G0177826
Type Of Funding Other Public Sector - Local
Category 2OPL
UON Y

Estimating Evapotranspiration For Use in Recharge Estimation$54,883

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Emeritus Professor Jetse Kalma, Dr Philip Binning, Professor George Kuczera
Scheme Multi-Year Small Grant Scholarship
Role Investigator
Funding Start 1998
Funding Finish 2001
GNo G0177361
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

19972 grants / $76,010

Improved drought risk assessment for urban water supply$73,610

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Australian Postgraduate Award - Industry (APAI)
Role Lead
Funding Start 1997
Funding Finish 2000
GNo G0176462
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

5th Scientific Assembly of the International Association of Hydrological Sciences, Rabat Morocco, Africa, 23 April - 3 May 1997$2,400

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 1997
Funding Finish 1997
GNo G0179496
Type Of Funding Internal
Category INTE
UON Y

19962 grants / $58,000

RELATIVE WORTH OF ISOTOPIC AND CHLORIDE TRACER IN CATCHMENT MODEL IDENTIFICATION$53,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Large Grant
Role Lead
Funding Start 1996
Funding Finish 1996
GNo G0175277
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

1-D model of heat, water and salt transport in unsaturated solids$5,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Dr Philip Binning, Professor George Kuczera
Scheme Project Grant
Role Investigator
Funding Start 1996
Funding Finish 1996
GNo G0175774
Type Of Funding Internal
Category INTE
UON Y

19953 grants / $131,436

95APP. Estimation of 100-year flood levels in tidal areas.$81,072

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Doctor Brian Williams, Walter Field
Scheme Large Grant
Role Lead
Funding Start 1995
Funding Finish 1996
GNo G0174473
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Improving the Conceptual Basis of the Hill-slope Component of Rainfalls runoff computer Models to increase their range of applicability$46,364

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor Brian Williams, Professor George Kuczera, Dr Philip Binning
Scheme Multi-Year Project Grant Scholarship
Role Investigator
Funding Start 1995
Funding Finish 1997
GNo G0174962
Type Of Funding Internal
Category INTE
UON Y

Experimental validation of urban drainage models at the subcatchment scale$4,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Small Grant
Role Lead
Funding Start 1995
Funding Finish 1995
GNo G0174954
Type Of Funding Scheme excluded from IGS
Category EXCL
UON Y

19942 grants / $110,099

94,95GRANT. Use of Environmental Chloride and other data in the identification of conceptual Catchment Model Structure.$109,169

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Large Grant
Role Lead
Funding Start 1994
Funding Finish 1995
GNo G0172938
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Int Hydrology & Water Resources Symp of the Inst of Engineers - Adelaide - 22-25 November 1994$930

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor George Kuczera
Scheme Travel Grant
Role Lead
Funding Start 1994
Funding Finish 1994
GNo G0175080
Type Of Funding Internal
Category INTE
UON Y

19931 grants / $65,000

Estimation of 100-year Flood Levels in Tidal Areas.$65,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Doctor Brian Williams, Walter Field
Scheme Large Grant
Role Lead
Funding Start 1993
Funding Finish 1993
GNo G0173069
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

19923 grants / $75,000

Estimation Of 100-year Flood Levels In Tidal Areas.$38,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera
Scheme Large Grant
Role Lead
Funding Start 1992
Funding Finish 1992
GNo G0173474
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Stochastic Economic Analysis of Headworks Augmentation Timing$27,000

Funding body: Urban Water Research Association

Funding body Urban Water Research Association
Project Team Professor George Kuczera
Scheme Research Grant
Role Lead
Funding Start 1992
Funding Finish 1992
GNo G0173804
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON Y

Accuracy Of Catchment Model Estimates Of Regional Recharge$10,000

Funding body: Land & Water Resources Research & Development Corporation (DEFUNCT) See LWA

Funding body Land & Water Resources Research & Development Corporation (DEFUNCT) See LWA
Project Team Professor George Kuczera
Scheme Research & Development Grant (Defunct)
Role Lead
Funding Start 1992
Funding Finish 1992
GNo G0173733
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

19911 grants / $49,046

Accuracy Of Catchment Model Estimates Of Regional Recharge$49,046

Funding body: Land & Water Resources Research & Development Corporation (DEFUNCT) See LWA

Funding body Land & Water Resources Research & Development Corporation (DEFUNCT) See LWA
Project Team Professor George Kuczera
Scheme Research & Development Grant (Defunct)
Role Lead
Funding Start 1991
Funding Finish 1994
GNo G0173732
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y
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Research Supervision

Number of supervisions

Completed26
Current7

Total current UON EFTSL

Masters0.75
PhD2.1

Current Supervision

Commenced Level of Study Research Title / Program / Supervisor Type
2016 PhD Assessing the Impact of East Coast Lows on Urban Water Security
PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2014 Masters Investigation of the Potential for Hydrogeomorphic Modelling Within the Linear Network Program Wathnet5 to Determine an Optimal Water Sharing Plan for the Macquarie Marshes Catchment
M Philosophy (Enviro Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2014 PhD The Influence of East Coast Lows (ECLs) on the Water Security of Coastal New South Wales (NSW)
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2013 PhD Forensic Systems Analysis Linking Pipe Failures and Operating States in Water Distribution Systems
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2012 PhD A Robust and Efficient Optimization Algorithm for Hydrological Models
PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2012 Masters Understanding Anomalous Low Flows and Changes to Rainfall-Runoff Sequences During and Following the Millennium Drought
M Philosophy (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2011 PhD A Particle Filter for Efficient Recursive BATEA Analysis of Hydrological Models
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor

Past Supervision

Year Level of Study Research Title / Program / Supervisor Type
2015 PhD The Modelling of Integrated Urban Water Management Schemes from the Allotment to the Town Scale
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2015 PhD A Screening Method for Rural Flash Flooding Risk Assessment
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2013 PhD Multi-objective Optimization of Urban Water Resource Systems
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2012 PhD Climate-Informed Stochastic Hydrological Modelling
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2011 PhD A High-Resolution Hierarchical Model for Space-Time Rainfall
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2009 PhD Integrated Urban Water Management and the UrbanCycle Modelling Framework
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2009 PhD Prediction of Ungauged Basins - Uncertain Criteria Conditioning, Regionalization and Multimodel Methods
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2008 PhD Water Quality, Incidental Treatment Train Mechanisms and Health Risks Associated with Urban Rainwater Harvesting Systems in Australia
PhD (Biological Sciences), Faculty of Science and Information Technology, The University of Newcastle
Co-Supervisor
2007 PhD Regionalization of a stochastic rainfall model
Water & Sanitary Engineering, University of Adelaide
Co-Supervisor
2007 PhD Nonhomogeneity in Eastern Australian Flood Frequency Data: Identification and Regionalisation
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2007 PhD Implementing Water Sensitive Urban Design: The Context of Changing Urban Stormwater Technologies in Australia
PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2007 PhD Pacific and Indian Ocean Climate Variability - Implications for Water Resource Management in Eastern Australia
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2007 PhD Effect of demand uncertainty on the expected performance of urban headworks water supply systems
Water & Sanitary Engineering, University of Newcastle
Sole Supervisor
2006 PhD Beyond Weights and Discount Rates: Integrated Evaluation Tools for Sustainability Planning
PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2005 PhD Analysis of Input Data Uncertainty and Numerical Robustness in Conceptual Rainfall-Runoff Modelling
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2004 PhD Spatio-Temporal Hidden Markov Models for Incorporating Inter-Annual Variability in Rainfall
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2003 PhD Optimisation of Urban Water Supply Headworks Systems Using Probabilistic Search Methods and Parallel Computing
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Sole Supervisor
2002 PhD Rainwater Tanks Revisited: New Opportunities for Urban Water Cycle Management
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2002 PhD Modelling Long-Term Persistence in Hydrological Time Series
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Sole Supervisor
2002 PhD An improved engineering design flood estimation technique: Removing the need to estimate initial loss
Water & Sanitary Engineering, University of Adelaide
Co-Supervisor
2001 Masters Estimation of extreme rainfall exceedance probabilities: Nondimensional stochastic storm transposition
Hydrology, University of Newcastle
Sole Supervisor
2001 Masters Estimation of Extreme Rainfall Exceedance Probabilities: Nondimensional Stochastic Storm Transposition
M Eng (Civil Surv & Env) [R], Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
1999 PhD Rainfall runoff model improvements incorporating a dynamic wave model and synthetic stream networks
Hydrology, University of Newcastle
Co-Supervisor
1998 PhD A methodology for hypothesis testing in conceptual catchment modelling
Hydrology, University of Newcastle
Sole Supervisor
1998 Masters Subcatchment scale investigation of stormwater time-area runoff model
Water & Sanitary Engineering, University of Newcastle
Sole Supervisor
1997 PhD Network linear programming in pipe networks
Water & Sanitary Engineering, University of Newcastle
Sole Supervisor
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News

Australian Research Council (ARC)

ARC Linkage Project funding success

July 24, 2015

Professor George Kuczera has been awarded more than $322,000 in ARC Linkage Project funding commencing in 2015 for his research project Optimal scheduling of urban bulk water systems under uncertainty.

Professor George Kuczera

Position

Professor
School of Engineering
Faculty of Engineering and Built Environment

Focus area

Environmental Engineering

Contact Details

Email george.kuczera@newcastle.edu.au
Phone (02) 4921 6038
Fax (02) 4921 6991

Office

Room EA130
Building Engineering A
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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