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Multi-objective Optimization of Different Management Scenarios to Control Seawater Intrusion in Coastal Aquifers

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  • Akbar Javadi
  • Mohammed Hussain
  • Mohsen Sherif
  • Raziyeh Farmani

Abstract

Seawater intrusion (SWI) is a widespread environmental problem, particularly in arid and semi-arid coastal areas. Therefore, appropriate management strategies should be implemented in coastal aquifers to control SWI with acceptable limits of economic and environmental costs. This paper presents the results of an investigation on the efficiencies of different management scenarios for controlling saltwater intrusion using a simulation-optimization approach. A new methodology is proposed to control SWI in coastal aquifers. The proposed method is based on a combination of abstraction of saline water near shoreline, desalination of the abstracted water for domestic consumption and recharge of the aquifer by deep injection of the treated wastewater to ensure the sustainability of the aquifer. The efficiency of the proposed method is investigated in terms of water quality and capital and maintenance costs in comparison with other scenarios of groundwater management. A multi-objective genetic algorithm based evolutionary optimization model is integrated with the numerical simulation model to search for optimal solution of each scenario of SWI control. The main objective is to minimize both the total cost of management process and the total salinity in aquifer. The results indicate that the proposed method is efficient in controlling SWI as it offers the least cost and least salinity in the aquifer. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:6:p:1843-1857
    DOI: 10.1007/s11269-015-0914-1
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    Cited by:

    1. Dilip Kumar Roy & Bithin Datta, 2017. "Fuzzy C-Mean Clustering Based Inference System for Saltwater Intrusion Processes Prediction in Coastal Aquifers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 355-376, January.
    2. Mahdi Motallebian & Hojjat Ahmadi & Amir Raoof & Nick Cartwright, 2022. "Impacts of Receding of the Lakes Located in the Arid and Semi-arid Areas on the Coastal Groundwater: Integrated Modeling and Experimental Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4057-4080, September.
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    5. Guihua Lu & Jingjing Liu & Zhiyong Wu & Hai He & Huating Xu & Qingxia Lin, 2015. "Development of a Large-Scale Routing Model with Scale Independent by Considering the Damping Effect of Sub-Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5237-5253, November.
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    7. Om Prakash Vats & Bhrigumani Sharma & Juergen Stamm & Rajib Kumar Bhattacharjya, 2020. "Groundwater Circulation Well for Controlling Saltwater Intrusion in Coastal aquifers: Numerical study with Experimental Validation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3551-3563, September.
    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.
    9. 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.
    10. G. Kopsiaftis & V. Christelis & A. Mantoglou, 2019. "Comparison of Sharp Interface to Variable Density Models in Pumping Optimisation of Coastal Aquifers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1397-1409, March.
    11. Chefi Triki & Slim Zekri & Ali Al-Maktoumi & Mahsa Fallahnia, 2017. "An Artificial Intelligence Approach for the Stochastic Management of Coastal Aquifers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4925-4939, December.
    12. Asaad M. Armanuos & Nadhir Al-Ansari & Zaher Mundher Yaseen, 2020. "Assessing the Effectiveness of Using Recharge Wells for Controlling the Saltwater Intrusion in Unconfined Coastal Aquifers with Sloping Beds: Numerical Study," Sustainability, MDPI, vol. 12(7), pages 1-26, March.

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