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Efficiency Assessment of AHP and Fuzzy AHP in Suitability Mapping for Artificial Recharging (Case Study: South of Kashan Basin, Isfahan, Iran)

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Sustainable Energy-Water-Environment Nexus in Deserts

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

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Abstract

Shortage of rainfall and also relatively high-intensity precipitations are characteristics of arid regions. Water scarcity will cause fragile living conditions in these areas. Therefore, it is essential to reduce runoff rates using dam construction or artificial recharge techniques. In this study, seven parameters, namely slope, surface permeability, transmissibility in alluvium, alluvial quality, land use, runoff volume, and thickness of the unsaturated layer were evaluated, and site selection for flood spreading and artificial recharge in the south of Kashan plain (Isfahan province in Iran) was determined using weight and rating coefficients of each parameter. Models used in this study were AHP and fuzzy AHP. Both models indicated that the land-use criterion with the greatest weight was determined as the site selection priority for flood spreading.

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Author information

Authors and Affiliations

  1. Kashan University, Kashan, Iran

    Zahra Feizi

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  1. Zahra Feizi
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Correspondence to Zahra Feizi .

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Editors and Affiliations

  1. Qatar Environment and Energy Research Institute (QEERI), Hamad Ben Khalifa University, Doha, Qatar

    Essam Heggy

  2. Qatar Environment and Energy Research Institute (QEERI), Hamad Ben Khalifa University, Doha, Qatar

    Veronica Bermudez

  3. Qatar Environment and Energy Research Institute (QEERI), Hamad Ben Khalifa University, Doha, Qatar

    Marc Vermeersch

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Feizi, Z. (2022). Efficiency Assessment of AHP and Fuzzy AHP in Suitability Mapping for Artificial Recharging (Case Study: South of Kashan Basin, Isfahan, Iran). In: Heggy, E., Bermudez, V., Vermeersch, M. (eds) Sustainable Energy-Water-Environment Nexus in Deserts. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-76081-6_7

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