Site selection for managed aquifer recharge in the city of Kabul, Afghanistan, using a multi-criteria decision analysis and geographic information system

Author:

Hussaini Mohammad SalemORCID,Farahmand Asadullah,Shrestha Sangam,Neupane Sanjiv,Abrunhosa Manuel

Abstract

AbstractWhile the success and sustainability of managed aquifer recharge (MAR) strongly depends on many characteristics of the site, it is necessary to integrate the site characteristics and develop suitability maps to indicate the most suitable locations. The objective of this study is to integrate geographic information system (GIS) and multi-criteria decision analysis (MCDA) techniques to identify the most suitable areas for a MAR project in the Kabul city area, Afghanistan. Data for six effective criteria, including slope, drainage density, surface infiltration rate, unsaturated zone thickness, soil type and electrical conductivity, were collected and then a classification map was produced for each criterion in the GIS environment. By applying MCDA techniques, the weights of the effective criteria were obtained. A suitability map was generated from each technique separately based on a combination of all criteria weights and thematic layers. The result of the analytical network process (ANP) method was found to be more precise and reliable compared with that of the analytical hierarchy process (AHP) method. Based on the final suitability map produced from the ANP model, there is 3.7, 15.0, 37.4, 33.1 and 10.3% of the total area that is unsuitable, of low suitability, moderately suitable, suitable and very suitable for MAR application, respectively. As a final result of this work, seven sites have been prioritized based on land use. The integration of multi-criteria decision analysis and GIS is recognized as an effective method for the selection of managed aquifer recharge sites.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Water Science and Technology

Reference39 articles.

1. Aghazadeh N, Chitsazan M, Mirzaee Y (2019) The potential and actual urban aquifer recharge and site selection for artificial recharge using GIS and AHP methods (case study: Urmia urban aquifer). J Adv Appl Geol. https://doi.org/10.22055/AAG.2019.27905.1912

2. Ahmadi S, Kajita Y (2017) Evaluation of urban land development direction in Kabul city, Afghanistan. Eng Technol Int J Urban Civ Eng 11(2):152–162

3. Andersson H, Engdahl H (2017) Evaluation of the potential for artificial groundwater recharge on a small island in western Sweden: a pilot study. BA Thesis, University of Gothenburg, Gothenburg, Germany

4. Asian Development Bank (ADB) (2015) Preparing the Kabul managed aquifer recharge project. Technical assistance report, ADB, Mandaluyong, Philippines

5. Benedikt J, Reinberg S, Riedl L (2002) A GIS application to enhance cell-based information modeling. Inf Sci 142(1–4):151–160. https://doi.org/10.1016/s0020-0255(02)00163-9

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