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A New Groundwater Management Model by Coupling Analytic Element Method and Reverse Particle Tracking with Cat Swarm Optimization

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  • Partha Majumder

    (Indian Institute of Technology Bombay)

  • T. I. Eldho

    (Indian Institute of Technology Bombay)

Abstract

The performance of groundwater management models mostly depends upon the methodology employed to simulate flow and transport processes and the efficiency of optimization algorithms. The present study examines the effectiveness of cat swarm optimization (CSO) for groundwater management problems, by coupling it with the analytic element method (AEM) and reverse particle tracking (RPT). In this study, we propose two coupled simulation-optimization models, viz. AEM-CSO and AEM-RPT-CSO by combining AEM with RPT and CSO. Both the models utilize the added advantages of AEM, such as precise estimation of hydraulic head at pumping location and generation of continuous velocity throughout the domain. The AEM-CSO model is applied to a hypothetical unconfined aquifer considering two different objectives, i.e., maximization of the total pumping of groundwater from the aquifer and minimization of the total pumping costs. The model performance reflects the superiority of CSO in comparison with other optimization algorithms. Further, the AEM-RPT-CSO model is successfully applied to a hypothetical confined aquifer to minimize the total number of contaminant sources, within the time related capture zone of the wells, while maintaining the required water demand. In this model, RPT gets continuous velocity information directly from the AEM model. The performance evaluation of the proposed methodology, illustrates its ability to solve groundwater management problems.

Suggested Citation

  • Partha Majumder & T. I. Eldho, 2016. "A New Groundwater Management Model by Coupling Analytic Element Method and Reverse Particle Tracking with Cat Swarm Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1953-1972, April.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:6:d:10.1007_s11269-016-1262-5
    DOI: 10.1007/s11269-016-1262-5
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    References listed on IDEAS

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    1. Mohammad Kazemzadeh-Parsi & Farhang Daneshmand & Mohammad Ahmadfard & Jan Adamowski, 2015. "Optimal Remediation Design of Unconfined Contaminated Aquifers Based on the Finite Element Method and a Modified Firefly Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2895-2912, June.
    2. Akbar Javadi & Mohammed Hussain & Mohsen Sherif & Raziyeh Farmani, 2015. "Multi-objective Optimization of Different Management Scenarios to Control Seawater Intrusion in Coastal Aquifers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1843-1857, April.
    3. Rajib Bhattacharjya & Bithin Datta, 2005. "Optimal Management of Coastal Aquifers Using Linked Simulation Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(3), pages 295-320, June.
    4. Shishir Gaur & Sudheer Ch & Didier Graillot & B. Chahar & D. Kumar, 2013. "Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 927-941, February.
    5. J. Sreekanth & Bithin Datta, 2011. "Comparative Evaluation of Genetic Programming and Neural Network as Potential Surrogate Models for Coastal Aquifer Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3201-3218, October.
    6. Issam Nouiri & Muluneh Yitayew & Jobst Maßmann & Jamila Tarhouni, 2015. "Multi-objective Optimization Tool for Integrated Groundwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5353-5375, November.
    7. Suman Kumar Saha & R. Kar & D. Mandal & S. P. Ghoshal, 2013. "A Novel Firefly Algorithm for Optimal Linear Phase FIR Filter Design," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 4(2), pages 29-48, April.
    8. Slim Zekri & Chefi Triki & Ali Al-Maktoumi & Mohammad Bazargan-Lari, 2015. "An Optimization-Simulation Approach for Groundwater Abstraction under Recharge Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3681-3695, August.
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    2. Fan, Qiuyan & Hajiyeva, Aytan Merdan, 2022. "Nexus between energy efficiency finance and renewable energy development: Empirical evidence from G-7 economies," Renewable Energy, Elsevier, vol. 195(C), pages 1077-1086.
    3. Kuang, Hewu & Liang, Yiyan & Zhao, Wenjia & Cai, Jiahong, 2023. "Impact of natural resources and technology on economic development and sustainable environment – Analysis of resources-energy-growth-environment linkages in BRICS," Resources Policy, Elsevier, vol. 85(PB).
    4. Hussain, Sardar Muhammad & Cuminato, José Alberto & Marin, Ivan Silvestre Paganini & Wendland, Edson Cezar, 2024. "A matrix solver approach for fracture flow simulation by Analytic Element Method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 218(C), pages 666-678.

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