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Multi-objective Optimization Tool for Integrated Groundwater Management

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  • Issam Nouiri
  • Muluneh Yitayew
  • Jobst Maßmann
  • Jamila Tarhouni

Abstract

Integrated water resources management requires demands from agriculture, industry, and domestic users be met with the available supply with full considerations to water quality, cost and the environment. Thus, optimal allocation of available water resources is the challenge faced by water managers and policy makers to meet demands. With this in mind, a new tool called ALL_WATER_gw was developed for groundwater management within the framework of the WEAP-MODFLOW Decision Support System. It takes into account satisfaction of demand, minimization of water cost and maximal drawdown, as well as meeting water salinity restrictions. A Multi-Objective Genetic Algorithm (MOGA) and the PARETO optimality approaches were used to handle the formulated problem. Sensitivity analysis based on a pilot study showed that the MOGA parameters have strong impacts on the efficiency and the robustness of the developed tool. The results also demonstrated the tool’s capabilities to identify optimal solutions and support groundwater management decisions. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:14:p:5353-5375
    DOI: 10.1007/s11269-015-1122-8
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    References listed on IDEAS

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    6. Issam Nouiri, 2014. "Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2885-2901, August.
    7. R. Hadded & I. Nouiri & O. Alshihabi & J. Maßmann & M. Huber & A. Laghouane & H. Yahiaoui & J. Tarhouni, 2013. "A Decision Support System to Manage the Groundwater of the Zeuss Koutine Aquifer Using the WEAP-MODFLOW Framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 1981-2000, May.
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    3. Yu-Hao Lin & Yi-Ping Chen & Ming-Der Yang & Tung-Ching Su, 2016. "Multiobjective Optimal Design of Sewerage Rehabilitation by Using the Nondominated Sorting Genetic Algorithm-II," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 487-503, January.
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