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Integrated GIS-Based Multi-Criteria Analysis for Groundwater Potential Mapping in the Euphrates’s Sub-Basin, Harran Basin, Turkey

Author

Listed:
  • Veysel Aslan

    (Construction Technology, Hilvan Vocational School, Hilvan Harran University, 63900 Şanlıurfa, Turkey)

  • Recep Çelik

    (Civil Engineering Department, Engineering Faculty, Dicle University, 21280 Diyarbakır, Turkey)

Abstract

The Harran Basin is an important region where agricultural activities have been conducted for millennia. The agricultural water needs of the basin are largely met with surface irrigation through the GAP (South-Eastern Anatolian Project), while groundwater is used in some regions as potable water, tap water, and irrigation water. In this study, the groundwater potential of the Harran Basin was determined through the “GIS-based Multi-Criteria Decision Making (MCDM)” Method. Ten criteria were considered: Land Use, Soil, Geomorphology, Geology, Aquifer, Drainage Density, Rainfall, Slope, Lineament Density, and Terrain Class. The weights of these criteria were determined through the AHP method, and the operations were performed in the ArcGIS environment. As the results of this study, the Groundwater Potential Index (GWPI) values were obtained, and five regions were determined based on their Groundwater Potential Zone (GWPZ) classifications: very poor GWPI: 0.10% (5.14 km 2 ); poor GWPI: 29.20%; moderate GWPI: 38.20%; good GWPI: 30.90%; and very good GWPI: 1.50%). We determined that the region is a plain with a low slope and geologically consists of limestone. Notably, areas with poor water potential are mountainous and hilly, and the slopes over these areas are high.

Suggested Citation

  • Veysel Aslan & Recep Çelik, 2021. "Integrated GIS-Based Multi-Criteria Analysis for Groundwater Potential Mapping in the Euphrates’s Sub-Basin, Harran Basin, Turkey," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7375-:d:586575
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    References listed on IDEAS

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    2. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    3. Rajat Agarwal & P. K. Garg, 2016. "Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 243-260, January.
    4. Hone-Jay Chu, 2018. "Drought Detection of Regional Nonparametric Standardized Groundwater Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3119-3134, July.
    5. Tarun Kumar & Amar Gautam & Tinu Kumar, 2014. "Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4449-4466, October.
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