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Identification of Potential Sites for Groundwater Recharge Using a GIS-Based Decision Support System in Jazan Region-Saudi Arabia

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  • Shereif Mahmoud
  • A. Alazba
  • Amin T

Abstract

In arid and semi-arid environments, the amount of recharge received by aquifers is far more critical to the sustainable use of water than it is in humid regions. Groundwater recharge (GWR) is critical to maintain the abundance of groundwater. In the present study, suitable areas for GWR in Jazan region have been identified by using a GIS-based decision support system (DSS). The DSS was implemented to obtain suitability maps and to evaluate the existing GWR in the study area. The DSS inputs comprised maps of rainfall surplus, slope, potential runoff coefficient, land cover/use and soil texture. The spatial extents of GWR suitability areas were identified by a hierarchical process analysis that considered five layers. The model generated a GWR map with four categories of suitability: excellent, good, moderate and poor and unsuitable. The spatial distribution of these categories showed that 50.5 and 31 % of the study area was classified as excellent and good for GWR, respectively, while 16 and 2.5 % of the area were classified as moderate and poor and unsuitable, respectively. Most of the areas with excellent to good suitability have slopes of between 4 and 8 % and are intensively cultivated areas. The major soil type in the excellent to good areas is loamy sand, followed by silt loam, and the rainfall in these areas ranges from 100 to 270 mm. The locations of existing GWR dams were compared with the locations indicated on the generated suitability map using the proximity analysis tool in ArcGIS 10.1. Most (75 %) of the existing GWR structures that were categorised as successful were within the excellent and good areas, followed by moderately suitable (25 %). Copyright Springer Science+Business Media Dordrecht 2014

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  • Shereif Mahmoud & A. Alazba & Amin T, 2014. "Identification of Potential Sites for Groundwater Recharge Using a GIS-Based Decision Support System in Jazan Region-Saudi Arabia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3319-3340, August.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:3319-3340
    DOI: 10.1007/s11269-014-0681-4
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    References listed on IDEAS

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    2. Juana Moiwo & Fulu Tao, 2014. "Evidence of Land-use Controlled Water Storage Depletion in Hai River Basin, North China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4733-4746, October.
    3. Mahmoud M. Abd-el-Kader & Ahmed M. El-Feky & Mohamed Saber & Maged M. AlHarbi & Abed Alataway & Faisal M. Alfaisal, 2023. "Designating Appropriate Areas for Flood Mitigation and Rainwater Harvesting in Arid Region Using a GIS-based Multi-criteria Decision Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1083-1108, February.
    4. Uday Mandal & Satiprasad Sahoo & Selva Balaji Munusamy & Anirban Dhar & Sudhindra N. Panda & Amlanjyoti Kar & Prasanta K. Mishra, 2016. "Delineation of Groundwater Potential Zones of Coastal Groundwater Basin 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(12), pages 4293-4310, September.
    5. Gupta, Brij B. & Gaurav, Akshat & Panigrahi, Prabin Kumar & Arya, Varsha, 2023. "Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    6. HamidReza Jahangirzadeh & Mehdi Ghanbarzadeh Lak, 2021. "Developing a Decision-making Model to Enhance Artificial Aquifer Recharge Site Selection Through Floodwater Spreading Based on GIS and ELECTRE I," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5169-5186, December.
    7. Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
    8. Nitin L. Rane & Geetha K. Jayaraj, 2022. "Comparison of multi-influence factor, weight of evidence and frequency ratio techniques to evaluate groundwater potential zones of basaltic aquifer systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2315-2344, February.

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