Dr Alvin Lal

Dr Alvin Lal

Hydrogeologist

School of Environmental and Life Sciences

Career Summary

Biography

Dr Alvin Lal is a Research Associate at the Global Centre for Environmental Remediation and crcCARE at University of Newcastle. He has over 7 years research and academic teaching experience. Originally from Fiji, he did his PhD with the James Cook University (QLD, Australia). His PhD thesis focused on the development and application of groundwater modelling and management tools for sustainable utilization of groundwater resources in complex hydrological systems.

Some of his research expertise include 3D groundwater numerical modelling (finite element and finite difference), groundwater quality monitoring and assessment, groundwater monitoring network design, multi-objective optimization, and predictive data analytics. Recently, Dr Lal was invited to be a panel speaker at the Virtual UN Water Conference (march 2023). In addition, Dr Lal was one of the recipients of the prestigious James Cook University Dean’s Award for Research Excellence in 2020. Before joining University of Newcastle, Dr Lal was a postdoctoral research fellow at the University of Twente, Netherlands. Dr Lal was also employed as a lecturer at University of the South Pacific (USP) from 2020 to 2021. AT USP, he developed the civil engineering program, and help established hydrology, water resources and coastal engineering courses.

Dr Lal is currently working on various groundwater modelling and remediation projects with collaborators from Australia, Netherlands, Bangladesh, Indonesia, USA, Fiji, Vanuatu, and Kiribati. He has published several book chapters, journal articles and presented in conferences across the globe. Dr Lal is also currently co-supervising several PhD students and involved in mentoring students at USP, Fiji.


Qualifications

  • Doctor of Philosophy, James Cook University
  • Master of Science in Physics, University of the South Pacific

Keywords

  • Climate Change
  • Contaminant transport
  • Groundwater flow and transport
  • Groundwater modelling
  • Groundwater remediation
  • Hydrogeology
  • Machine learning

Languages

  • English (Mother)

Fields of Research

Code Description Percentage
370701 Contaminant hydrology 40
370703 Groundwater hydrology 40
410402 Environmental assessment and monitoring 20

Professional Experience

UON Appointment

Title Organisation / Department
Hydrogeologist University of Newcastle
School of Environmental and Life Sciences
Australia

Teaching appointment

Dates Title Organisation / Department
1/2/2022 - 31/8/2022 Research Fellow University of Twente
Faculty of Science and Technology
Netherlands
14/12/2020 - 1/2/2022 Lecturer University of the South Pacific
Fiji

Invitations

Contributor

Year Title / Rationale
2023 Guest Editor

Panel Participant

Year Title / Rationale
2023 Invited Panelist - Water Resources for Islands: The Road to the UN Water Conference 2023

Speaker

Year Title / Rationale
2023 Guest Lecturer - crcCARE Masterclass 2023
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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
2025 Lal A, Naidu R, Newell CJ, 'From contamination to clarity: Evaluating the role of groundwater modeling in managing and remediating PFAS plumes', 319-336 (2025) [B1]
DOI 10.1515/9783110796797-008
Co-authors Ravi Naidu
2025 Nirola R, Naidu R, Lal A, 'Balancing sustainable development: Assessing global environmental risks in the mineral industry operations', 14-36 (2025) [B1]
DOI 10.1201/9781315141855-2
Co-authors Ravi Naidu
2023 Lal A, 'Applications of Machine Learning Models for Solving Complex Groundwater Modelling, Monitoring and Management Problems' (2023)
2021 Lal A, Datta B, 'Robust Ensemble Modeling Paradigm for Groundwater Salinity Predictions in Complex Aquifer Systems', 53-72 (2021)
DOI 10.1007/978-3-030-68124-1_3
Show 1 more chapter

Conference (2 outputs)

Year Citation Altmetrics Link
2018 Lal A, Datta B, 'Genetic Programming and Gaussian Process Regression Models for Groundwater Salinity Prediction: Machine Learning for Sustainable Water Resources Management', 2018 IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY (SUSTECH), 225-231 (2018)
Citations Web of Science - 4
2015 Lal* A, Deo RN, Kumar A, Raturi A, 'Self-potential and soil temperature profiling: Case study of Tavua hot spring, Fiji', Near-Surface Asia Pacific Conference, Waikoloa, Hawaii, 7-10 July 2015, 135-137 (2015)
DOI 10.1190/nsapc2015-035

Journal article (21 outputs)

Year Citation Altmetrics Link
2025 Sharan A, Datta B, Roy DK, Lal A, 'Conceptual development and implementation of a digital twin model for managing saltwater intrusion of an island coastal aquifer.', Environmental monitoring and assessment, 197 (2025) [C1]
DOI 10.1007/s10661-025-14553-x
2025 Billah MM, Rahman MM, Mahimairaja S, Lal A, Srinivasulu A, Naidu R, 'Enhancing climate-smart coastal farming system through agriculture extension and advisory services towards the avenues of farm sustainability', Regional Sustainability, 6 (2025)
DOI 10.1016/j.regsus.2025.100243
Co-authors Mahmud Rahman, Ravi Naidu
2025 Billah MM, Rahman MM, Mahimairaja S, Lal A, Naidu R, 'Role of Agriculture Extension and Rural Advisory Services in Strengthening Climate-Smart Agricultural System: A Systematic Review', Journal of Sustainable Agriculture and Environment, 4 (2025) [C1]
DOI 10.1002/sae2.70076
Co-authors Ravi Naidu, Mahmud Rahman
2024 Sharan A, Datta B, Lal A, Kotra KK, 'Management of saltwater intrusion using 3D numerical modelling: a first for Pacific Island country of Vanuatu', ENVIRONMENTAL MONITORING AND ASSESSMENT, 196 (2024) [C1]
DOI 10.1007/s10661-023-12245-y
Citations Web of Science - 1
2024 Davamani V, John JE, Poornachandhra C, Gopalakrishnan B, Arulmani S, Parameswari E, Santhosh A, Srinivasulu A, Lal A, Naidu R, 'A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models', ATMOSPHERE, 15 (2024) [C1]
DOI 10.3390/atmos15010122
Citations Scopus - 5Web of Science - 15
Co-authors Ravi Naidu
2024 Lal A, Sharan A, Sharma K, Ram A, Roy DK, Datta B, 'Scrutinizing different predictive modeling validation methodologies and data-partitioning strategies: new insights using groundwater modeling case study', ENVIRONMENTAL MONITORING AND ASSESSMENT, 196 (2024) [C1]
DOI 10.1007/s10661-024-12794-w
2024 Billah MM, Rahman MM, Mahimairaja S, Lal A, Naidu R, 'Farmers' exposure to communication media in receiving agriculture extension and rural advisory services for farm sustainability', JOURNAL OF SUSTAINABLE AGRICULTURE AND ENVIRONMENT, 3 (2024) [C1]

Introduction: Effective communication among agricultural stakeholders is the part and parcel of sustainable agricultural development. The study investigated farmers&apo... [more]

Introduction: Effective communication among agricultural stakeholders is the part and parcel of sustainable agricultural development. The study investigated farmers' exposure to communication media in receiving agriculture extension and rural advisory services (AERAS) for strengthening sustainable agricultural development. Materials and Methods: The blended method research was conducted in Bangladesh employing both qualitative and quantitative approaches with 390 selected respondents utilizing structured questionnaire during 2022¿2023. Statistical package for social science (SPSS) version 29, along with appropriate scales and scoring techniques were utilized to analyse the data. Results: Findings indicated that most (94.6%) of the respondents get low to medium exposure to communication media, but majority (75.4%) of them were interested in contacting extension and advisory services without payment (73.6%). A significant portion (70.3%) of the participants perceived that, services delivered by extension officers facilitate farm sustainability. It was also found that respondents were mostly exposed to personal media ((Formula presented.) = 377.4) whereas less exposed to mass media ((Formula presented.) = 177.8) for desired services. Moreover, knowledge, proximity to office, access to extension services, organizational participation, innovativeness, training exposure were identified as influential factors increasing the extent of communication exposure. Conclusion: The results can assist concern departments as well as policymakers to update the curriculum, principles, or module for incorporating effective communication at farm level and modifying the diffusion of innovation systems for farm sustainability.

DOI 10.1002/sae2.70000
Citations Scopus - 1
Co-authors Mahmud Rahman, Ravi Naidu
2023 Sharan A, Datta B, Lal A, 'Integrating numerical modelling and scenario-based sensitivity analysis for saltwater intrusion management: case study of a complex heterogeneous island aquifer system', ENVIRONMENTAL MONITORING AND ASSESSMENT, 195 (2023) [C1]
DOI 10.1007/s10661-023-11159-z
Citations Web of Science - 4
2023 Sharan A, Lal A, Datta B, 'Evaluating the impacts of climate change and water over-abstraction on groundwater resources in Pacific island country of Tonga', GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 20 (2023) [C1]
DOI 10.1016/j.gsd.2022.100890
Citations Web of Science - 11
2021 Lal A, Datta B, 'Optimal pumping strategies for the management of coastal groundwater resources: application of Gaussian Process Regression metamodel-based simulation-optimization methodology', Ish Journal of Hydraulic Engineering, 27, 136-145 (2021)

The present study utilizes a coupled simulation-optimization (S-O) methodology to develop a multi-objective management strategy for a coastal aquifer system. The aim of... [more]

The present study utilizes a coupled simulation-optimization (S-O) methodology to develop a multi-objective management strategy for a coastal aquifer system. The aim of the multi-objective management model is to maximize pumping from freshwater wells (FWs) and minimize pumping from the barrier wells (BWs), while keeping salinity concentration in the aquifer within pre-specified limits (optimization constraint). To achieve computational feasibility of the management model, the numerical simulation model is substituted by the relatively new Gaussian Process Regression (GPR) metamodels. The GPR models are used to approximate coastal aquifer responses to variable transient pumping patterns from FWs and BWs. Prediction capabilities of the developed GPR metamodels are quantified using standard statistical parameters. Once trained and validated, the GPR metamodels are coupled to a multi-objective genetic algorithm optimization model and used to prescribe optimal groundwater pumping patterns. The outcomes of this study establishes the potential applicability of the GPR metamodel-based S-O model for developing sustainable coastal groundwater management strategies, which can utilize accurate and efficient prediction of management strategy impacts on the saltwater intrusion (SI) process when the optimal management policy development is based on the trained metamodel predictions. Once implemented, the developed strategy can help in controlling SI in coastal aquifer systems.

DOI 10.1080/09715010.2019.1599304
Citations Scopus - 5
2021 Sharan A, Lal A, Datta B, 'A review of groundwater sustainability crisis in the Pacific Island countries: Challenges and solutions', JOURNAL OF HYDROLOGY, 603 (2021)
DOI 10.1016/j.jhydrol.2021.127165
Citations Web of Science - 20
2021 Roy DK, Lal A, Sarker KK, Saha KK, Datta B, 'Optimization algorithms as training approaches for prediction of reference evapotranspiration using adaptive neuro fuzzy inference system', AGRICULTURAL WATER MANAGEMENT, 255 (2021)
DOI 10.1016/j.agwat.2021.107003
Citations Web of Science - 42
2021 Lal A, Datta B, 'Application of the group method of data handling and variable importance analysis for prediction and modelling of saltwater intrusion processes in coastal aquifers', NEURAL COMPUTING & APPLICATIONS, 33, 4179-4190 (2021)
DOI 10.1007/s00521-020-05232-8
Citations Scopus - 1Web of Science - 13
2020 Lal A, Datta B, 'Performance Evaluation of Homogeneous and Heterogeneous Ensemble Models for Groundwater Salinity Predictions: a Regional-Scale Comparison Study', WATER AIR AND SOIL POLLUTION, 231 (2020)
DOI 10.1007/s11270-020-04693-w
Citations Scopus - 2Web of Science - 21
2019 Lal A, Datta B, 'Optimal Groundwater-Use Strategy for Saltwater Intrusion Management in a Pacific Island Country', JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 145 (2019)
DOI 10.1061/(ASCE)WR.1943-5452.0001090
Citations Web of Science - 18
2019 Lal A, Datta B, 'Application of Monitoring Network Design and Feedback Information for Adaptive Management of Coastal Groundwater Resources', INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 16 (2019) [C1]
DOI 10.3390/ijerph16224365
Citations Web of Science - 9
2019 Lal A, Datta B, 'Multi-objective groundwater management strategy under uncertainties for sustainable control of saltwater intrusion: Solution for an island country in the South Pacific', JOURNAL OF ENVIRONMENTAL MANAGEMENT, 234, 115-130 (2019) [C1]
DOI 10.1016/j.jenvman.2018.12.054
Citations Scopus - 5Web of Science - 43
2018 Lal A, Datta B, 'Development and Implementation of Support Vector Machine Regression Surrogate Models for Predicting Groundwater Pumping-Induced Saltwater Intrusion into Coastal Aquifers', WATER RESOURCES MANAGEMENT, 32, 2405-2419 (2018)
DOI 10.1007/s11269-018-1936-2
Citations Web of Science - 44
2018 Lal A, Deo RN, Kumar A, 'Near-surface study of a hot spring site in Fiji', ACTA GEOPHYSICA, 66, 659-672 (2018)
DOI 10.1007/s11600-018-0173-7
Citations Scopus - 3Web of Science - 2
2018 Lal A, Datta B, 'MULTIPLE OBJECTIVE MANAGEMENT STRATEGIES FOR COASTAL AQUIFERS UTILIZING NEW SURROGATE MODELS', INTERNATIONAL JOURNAL OF GEOMATE, 15, 79-85 (2018)
DOI 10.21660/2018.48.7169
Citations Web of Science - 6
2018 Lal A, Datta B, 'Modelling saltwater intrusion processes and development of a multi-objective strategy for management of coastal aquifers utilizing planned artificial freshwater recharge', MODELING EARTH SYSTEMS AND ENVIRONMENT, 4, 111-126 (2018)
DOI 10.1007/s40808-017-0405-x
Citations Scopus - 3Web of Science - 25
Show 18 more journal articles
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Grants and Funding

Summary

Number of grants 3
Total funding $1,251,936

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


20223 grants / $1,251,936

Remediation of TCE Contaminated Groundwater using Nano matCARETM Treatability Study$818,939

Funding body: CRC CARE Pty Ltd

Funding body CRC CARE Pty Ltd
Project Team Doctor Mezbaul Bahar, Doctor Alvin Lal, Doctor Masud Hassan, Mr Danidu Kudagamage, Professor Ravi Naidu
Scheme Research Grant
Role Investigator
Funding Start 2022
Funding Finish 2024
GNo G2200327
Type Of Funding C3100 – Aust For Profit
Category 3100
UON Y

In-situ subsurface bioreactor for TCE-contaminated groundwater remediation with Cr(VI) as co-contaminant, Site 844, Edinburgh, South Australia$222,122

Funding body: CRC CARE Pty Ltd

Funding body CRC CARE Pty Ltd
Project Team Doctor Mezbaul Bahar, Doctor Alvin Lal, Mr Danidu Kudagamage, Professor Ravi Naidu, Professor Ravi Naidu
Scheme Research Grant
Role Investigator
Funding Start 2022
Funding Finish 2022
GNo G2200326
Type Of Funding C3100 – Aust For Profit
Category 3100
UON Y

Pilot-scale trial of PFAS remediation using matCARE technology, RAAF Richmond NSW$210,875

Funding body: CRC CARE Pty Ltd

Funding body CRC CARE Pty Ltd
Project Team Mr Danidu Kudagamage, Doctor Alvin Lal, Doctor Chamila Samarasinghe Vidane Arachchige, Professor Ravi Naidu
Scheme Research Grant
Role Investigator
Funding Start 2022
Funding Finish 2022
GNo G2201013
Type Of Funding C3100 – Aust For Profit
Category 3100
UON Y
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Research Supervision

Number of supervisions

Completed0
Current4

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2022 PhD Role of Agricultural Extension Services in Farmers’ Climate Change Adaptation and Resilience PhD (Environment Remediation), College of Engineering, Science and Environment, The University of Newcastle Co-Supervisor
2022 PhD Biomonitoring and Risk Assessment of Per- and Polyfluoroalkyl Substances (PFAS) in Coastal waters of Lagos, Southwest Nigeria PhD (Environment Remediation), College of Engineering, Science and Environment, The University of Newcastle Co-Supervisor
2021 PhD Saltwater intrusion modelling and management Civil Engineering, James Cook University Co-Supervisor
2019 PhD Groundwater Restoration and Protection: Influence Under Climate Change and Design Needs for Sustainable and Reliable Performance PhD (Environment Remediation), College of Engineering, Science and Environment, The University of Newcastle Co-Supervisor
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Dr Alvin Lal

Position

Hydrogeologist
GCER ATC Building
School of Environmental and Life Sciences
College of Engineering, Science and Environment

Contact Details

Email alvin.lal@newcastle.edu.au
Phone 0432619600
Mobile 0432619600
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