Dr Sreenivasulu Chadalavada

Dr Sreenivasulu Chadalavada

Conjoint Senior Lecturer

Global Centre for Environmental Remediation

Career Summary

Biography

Sreenivasulu Chadalavada joined the University of Newcastle in 2016 as Conjoint Senior Lecturer at Global Centre for Environmental Remediation(GCER). Prior to joining the University of Newcastle, Sreenivasulu worked as Adjunct Research Fellow/ Senior Hydrogeologist at University of South Australia and as Research Associate at Indian Institute of Technology Kanpur. Sreenivasulu currently works as Program Coordinator for two major research programs on Department of Defence and BHP at CRC CARE which has headquarter at the University of Newcastle.

Sreenivasulu plays a major role in demonstrating cost effective remediation solutions to manage the contaminated sites across Australia. As Department of Defence Program and BHP Program coordinator, Sreenivasulu manage and coordinate the Defence and BHP projects under national contaminated sites demonstration programme. This role involves applying for grants, managing and accessing the performance for future strategy. Sreenivasulu also undertake research in mathematical modelling aspects of groundwater flow and contaminant transport in groundwater contaminated aquifers and provide consultation services to various large projects.

Sreenivasulu’s research career over last 10 years has been strongly based on cutting-edge groundwater modelling and hydrogeology research on efficient characterisation of potentially contaminated sites. Sreenivasulu completed his Ph.D. research at the Centre for Environmental Risk Assessment and Remediation (CERAR), University of South Australia, on the simulation-optimization modelling approach to identify the unknown groundwater pollution sources. The research conducted under PhD has facilitated to come up with a novel software tool in hydrogeological modelling.  Sreenivasulu’s current and future research focus is on developing mathematical models to simulate various hydrogeological processes and vapour migration pathways. Sreenivasulu is currently engaged with teaching Hydrogeology and environmental remediation course and supervision of PhD students. 


Keywords

  • Hydrogeology
  • Genetic Algorithms
  • Simulation-Optimization methods
  • Vapour Intrusion Models
  • Portfolio Management

Languages

  • English (Fluent)
  • Telugu (Mother)
  • Hindi (Fluent)

Fields of Research

Code Description Percentage
050209 Natural Resource Management 10
050207 Environmental Rehabilitation (excl. Bioremediation) 30
080110 Simulation and Modelling 60
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Publications

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


Chapter (2 outputs)

Year Citation Altmetrics Link
2014 Naidu R, Bekele D, Birke V, 'Permeable Reactive Barriers: Cost-Effective and Sustainable Remediation of Groundwater', Permeable Reactive Barriers: Sustainable Groundwater Remediation, CRC Press, Boca Raton, FL 1-24 (2014)
Co-authors Ravi Naidu, Dawit Bekele
2014 Bekele D, Ravi N, Volker B, Sreenivasulu C, 'Choosing the Best Design and Construction Technologies for Permeable Reactive Barriers', Permeable Reactive Barrier: Sustainable Groundwater Remediation, CRC Press, Boca Raton, FL 41-62 (2014)
Co-authors Dawit Bekele

Journal article (16 outputs)

Year Citation Altmetrics Link
2019 Wang L, Cheng Y, Lamb D, Dharmarajan R, Chadalavada S, Naidu R, 'Application of infrared spectrum for rapid classification of dominant petroleum hydrocarbon fractions for contaminated site assessment', Spectrochimica Acta Part A-Molecular And Biomolecular Spectroscopy, 207 183-188 (2019) [C1]
DOI 10.1016/j.saa.2018.09.024
Co-authors Raja Dharmarajan, Ravi Naidu, Dane Lamb
2018 Bekele DN, Naidu R, Chadalavada S, 'Development of a modular vapor intrusion model with variably saturated and non-isothermal vadose zone', Environmental Geochemistry and Health, 40 887-902 (2018) [C1]
DOI 10.1007/s10653-017-0032-5
Co-authors Ravi Naidu, Dawit Bekele
2018 Besha AT, Bekele DN, Naidu R, Chadalavada S, 'Recent advances in surfactant-enhanced In-Situ Chemical Oxidation for the remediation of non-aqueous phase liquid contaminated soils and aquifers', Environmental Technology and Innovation, 9 303-322 (2018) [C1]
DOI 10.1016/j.eti.2017.08.004
Citations Scopus - 1
Co-authors Ravi Naidu, Dawit Bekele
2018 Thangavadivel K, Ranganathan S, Sanderson P, Chadalavada S, Naidu R, Bowman M, 'Case study of testing heavy-particle concentrator-aided remediation of lead-contaminated rifle shooting range soil', Remediation, 28 67-74 (2018) [C1]
DOI 10.1002/rem.21561
Co-authors Peter Sanderson, Ravi Naidu
2018 Logeshwaran P, Megharaj M, Chadalavada S, Bowman M, Naidu R, 'Petroleum hydrocarbons (PH) in groundwater aquifers: An overview of environmental fate, toxicity, microbial degradation and risk-based remediation approaches', Environmental Technology & Innovation, 10 175-193 (2018) [C1]
DOI 10.1016/j.eti.2018.02.001
Co-authors Ravi Naidu, Megh Mallavarapu, Logeshwaran Panneerselvan
2017 Du J, Chadalavada S, Naidu R, 'Synthesis of porous bentonite organoclay granule and its adsorption of tributyltin', Applied Clay Science, 148 131-137 (2017) [C1]
DOI 10.1016/j.clay.2017.07.033
Citations Scopus - 1
Co-authors Ravi Naidu, Jianhua Du
2016 Bekele DN, Naidu R, Chadalavada S, 'Influence of soil properties on vapor-phase sorption of trichloroethylene', Journal of Hazardous Materials, 306 34-40 (2016) [C1]

© 2015 Elsevier B.V. Current practices in health risk assessment from vapor intrusion (VI) using mathematical models are based on assumptions that the subsurface sorption equilibr... [more]

© 2015 Elsevier B.V. Current practices in health risk assessment from vapor intrusion (VI) using mathematical models are based on assumptions that the subsurface sorption equilibrium is attained. The time required for sorption to reach near-steady-state conditions at sites may take months or years to achieve. This study investigated the vapor phase attenuation of trichloroethylene (TCE) in five soils varying widely in clay and organic matter content using repacked columns. The primary indicators of TCE sorption were vapor retardation rate (Rt), the time required for the TCE vapor to pass through the soil column, and specific volume of retention (VR), and total volume of TCE retained in soil. Results show TCE vapor retardation is mainly due to the rapid partitioning of the compound to SOM. However, the specific volume of retention of clayey soils with secondary mineral particles was higher. Linear regression analyses of the SOM and clay fraction with VRshow that a unit increase in clay fraction results in higher sorption of TCE (VR) than the SOM. However, partitioning of TCE vapor was not consistent with the samples' surface areas but was mainly a function of the type of secondary minerals present in soils.

DOI 10.1016/j.jhazmat.2015.12.002
Citations Scopus - 2Web of Science - 2
Co-authors Dawit Bekele, Ravi Naidu
2016 Datta B, Durand F, Laforge S, Prakash O, Esfahani HK, Chadalavada S, Naidu R, 'Preliminary Hydrogeologic Modeling and Optimal Monitoring Network Design for a Contaminated Abandoned Mine Site Area: Application of Developed Monitoring Network Design Software', Journal of Water Resource and Protection, 08 46-64 (2016)
DOI 10.4236/jwarp.2016.81005
2014 Bekele DN, Naidu R, Chadalavada S, 'Influence of spatial and temporal variability of subsurface soil moisture and temperature on vapour intrusion', Atmospheric Environment, 88 14-22 (2014) [C1]
DOI 10.1016/j.atmosenv.2014.01.053
Citations Scopus - 4Web of Science - 4
Co-authors Dawit Bekele, Ravi Naidu
2014 Du J, Chadalavada S, Chen Z, Naidu R, 'Environmental remediation techniques of tributyltin contamination in soil and water: A review', CHEMICAL ENGINEERING JOURNAL, 235 141-150 (2014)
DOI 10.1016/j.cej.2013.09.044
Citations Scopus - 23Web of Science - 21
Co-authors Zuliang Chen, Jianhua Du, Ravi Naidu
2013 Bekele DN, Naidu R, Bowman M, Chadalavada S, 'Vapor Intrusion Models for Petroleum and Chlorinated Volatile Organic Compounds: Opportunities for Future Improvements', VADOSE ZONE JOURNAL, 12 (2013) [C1]
DOI 10.2136/vzj2012.0048
Citations Scopus - 15Web of Science - 11
Co-authors Ravi Naidu, Dawit Bekele
2012 Naidu R, Nandy S, Megharaj M, Kumar RP, Chadalavada S, Chen Z, Bowman M, 'Monitored natural attenuation of a long-term petroleum hydrocarbon contaminated sites: a case study', BIODEGRADATION, 23 881-895 (2012)
DOI 10.1007/s10532-012-9580-7
Citations Scopus - 14Web of Science - 10
Co-authors Megh Mallavarapu, Ravi Naidu, Zuliang Chen
2012 Chadalavada S, Datta B, Naidu R, 'Optimal Identification of Groundwater Pollution Sources Using Feedback Monitoring Information: A Case Study', Environmental Forensics, 13 140-153 (2012)

A feedback-based methodology has been developed for identifying the unknown pollution sources in groundwater-contaminated aquifers. The methodology consists of models within an it... [more]

A feedback-based methodology has been developed for identifying the unknown pollution sources in groundwater-contaminated aquifers. The methodology consists of models within an iterative feedback system, with the capacity of feeding back real-time measurements of pollutant concentrations for the sequential optimal designs and characterization of the contaminated aquifer study area. The resulting linked-simulation optimization model considers the delineation of the contaminant plume, optimally characterizing the site in terms of pollutant sources and the optimal monitoring network leading to the remediation and/or management of the contaminated aquifer. As part of the methodology, a simulation-optimization code was developed by linking a groundwater flow and transport model with an optimization code for the purpose of identifying the unknown pollution sources. The proposed methodology addresses the source identification process with very limited information available regarding the observed contamination data for the identification of unknown pollution sources. This methodology is applied to a chlorinated hydrocarbon contaminated site for the identification of unknown pollution sources. Information regarding the sources such as the magnitude, location and the duration of contamination activity were not known for the study area considered in this work except the information regarding the likely activities that led to its contamination. Developed methodology is applied to choose the optimal source locations from the identified potential locations. Depending on the availability of observed contaminant concentration values the domain for the methodology application is divided into three different management periods. The optimal source estimates obtained at the end of the third management period suggests that only one potential source location, S2, confirms to be the source and active. The qualitative assessment of the results also performed utilizing the contamination information obtained during the field investigations. The results demonstrate the practicability of the feedback-based methodology in identifying the unknown pollution sources in groundwater. © 2012 Copyright Taylor and Francis Group, LLC.

DOI 10.1080/15275922.2012.676147
Citations Scopus - 9Web of Science - 9
Co-authors Ravi Naidu
2011 Chadalavada S, Datta B, Naidu R, 'Uncertainty based optimal monitoring network design for a chlorinated hydrocarbon contaminated site', ENVIRONMENTAL MONITORING AND ASSESSMENT, 173 929-940 (2011)
DOI 10.1007/s10661-010-1435-2
Citations Scopus - 16Web of Science - 12
Co-authors Ravi Naidu
2011 Chadalavada S, Datta B, Naidu R, 'Optimisation approach for pollution source identification in groundwater: An overview', International Journal of Environment and Waste Management, 8 40-61 (2011)

Groundwater pollution occurs from different anthropogenic sources like leakage from Underground Storage Tanks (USTs) and depositories, leakage from hazardous waste dump sites and ... [more]

Groundwater pollution occurs from different anthropogenic sources like leakage from Underground Storage Tanks (USTs) and depositories, leakage from hazardous waste dump sites and soak pits. Remediation of these contaminated sites requires optimal decision-making system so that the remediation is done in a cost-effective and efficient manner. Identification of unknown pollution sources plays an important role in remediation and containment of contaminant plume in a hazardous site. This paper reviews different optimisation algorithms like classical, nonclassical such as Genetic Algorithm, Artificial Neural Network and Simulated Annealing and hybrid methods, which can be applied for optimal identification of unknown groundwater pollution sources. Copyright © 2011 Inderscience Enterprises Ltd.

DOI 10.1504/IJEWM.2011.040964
Citations Scopus - 6
Co-authors Ravi Naidu
2008 Chadalavada S, Datta B, 'Dynamic optimal monitoring network design for transient transport of pollutants in groundwater aquifers', WATER RESOURCES MANAGEMENT, 22 651-670 (2008)
DOI 10.1007/s11269-007-9184-x
Citations Scopus - 23Web of Science - 23
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Research Supervision

Number of supervisions

Completed1
Current4

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2017 PhD Novel co-tracers for delineating sources of groundwater contamination at wastewater treatment plants Environmental Studies, RMIT University Co-Supervisor
2017 PhD Sustainability of Groundwater Use PhD (Environment Remediation), Faculty of Science, The University of Newcastle Co-Supervisor
2017 PhD Developing Multi Dimensional Vapour Model PhD (Environment Remediation), Faculty of Science, The University of Newcastle Co-Supervisor
2015 PhD Hydrocarbon Contaminated Groundwater remediation using Electrokinetic Enhanced Bioremediation PhD (Environment Remediation), Faculty of Science, The University of Newcastle Co-Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2012 PhD A Modular Vapour Intrusion Model for Effective Management and Remediation of Hydrocarbon Contaminated Sites Environmental Studies, University of South Australia Co-Supervisor
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Dr Sreenivasulu Chadalavada

Position

Conjoint Senior Lecturer
Global Centre for Environmental Remediation
Faculty of Science

Contact Details

Email s.chadalavada@newcastle.edu.au
Phone (02) 4921 5201
Mobile 0431027069
Fax Enter in format (08) 83023124

Office

Room ATC-115
Building ATC Building
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