Developing a Decision-making Model to Enhance Artificial Aquifer Recharge Site Selection Through Floodwater Spreading Based on GIS and ELECTRE I

HamidReza Jahangirzadeh () and Mehdi Ghanbarzadeh Lak ()
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HamidReza Jahangirzadeh: Urmia University
Mehdi Ghanbarzadeh Lak: Urmia University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 15, No 7, 5169-5186

Abstract: Abstract ELECTRE I method was coupled with GIS to develop a model for determining the appropriate location of artificial aquifer recharge (AAR) through the floodwater spreading method (FSM). Khoy Plain, Iran, was selected as the case study. A total of 16 technical criteria (categorized as physical, climatic, hydrological, and hydrogeological criteria) was used to zonate the area into five sectors. Subsequently, six scenarios were proposed for the most appropriate locations. It was found that the marginal areas near the mountains, hillside plains, and plain entries, low-grade zones, areas encompassing high-quality underground water resources and with adequate unsaturated zone thickness, and quaternary alluvial sediment zones with high transmissibility, characterize the most appropriate zones for the AAR through the FSM. Combining the results obtained in the first step into a decision matrix, the scenarios were prioritized using a proposed model based on ELECTRE I; accordingly, Scenario 3 was introduced as the optimal approach. In selecting the optimal scenario, not only the weights of the criteria and the concordance and discordance of different scenarios toward one another, but also the numerical values of the concordance and discordance thresholds played essential roles. Further investigation of the scenarios following optimistic and pessimistic approaches showed that the order of preferences of different scenarios were the same following both normal and optimistic approaches. In contrast, the pessimistic approach led to a completely different set of orders of preference, except for Scenario 3, which was again identified as the most appropriate choice.

Keywords: Artificial aquifer recharge; Flood spreading; Site selection; GIS; ELECTRE I (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11269-021-02993-2

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