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Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones

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Geographical Information Systems Theory, Applications and Management (GISTAM 2021, GISTAM 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1908))

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Abstract

Scarcity of water has impacted the Gulf countries and one of them is the United Arab Emirates (UAE). Among the many possibilities, a viable approach for water preservation in arid regions is Artificial Groundwater Recharging (AGR). Fresh water from multiple sources are fetched and reserved in aquifers and pumped out during lean phases. This research endeavors to delineate AGR zones in Northern part of UAE taking into account of precipitation, drainage density, geomorphology, geology, groundwater level, total dissolved solids, elevation, lineament density, and distance from residences with the aid of Remote Sensing (RS) and Geographic Information System (GIS). Parameters were measured to criteria weightings by Analytical Hierarchical Process (AHP), and then overlay analysis was performed to deduce the potential AGR map. The map was categorized in a scale ranging from very high suitability to low suitability. More than 20% of the total area was highly suitable for AGR. Geology and geomorphology were identified to be the significant factors for determination of the potential zones.

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Author information

Authors and Affiliations

  1. Civil and Environmental Engineering Department, University of Sharjah, Sharjah, 27272, UAE

    Rami Al-Ruzouq, Abdallah Shanableh, Sunanda Mukherjee & Mohamad Ali Khalil

  2. Department of Engineering, La Trobe University, Melbourne, VIC 3086, Australia

    Abdullah Gokhan Yilmaz

Authors
  1. Rami Al-Ruzouq
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  2. Abdallah Shanableh
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  3. Abdullah Gokhan Yilmaz
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  4. Sunanda Mukherjee
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  5. Mohamad Ali Khalil
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Corresponding author

Correspondence to Rami Al-Ruzouq .

Editor information

Editors and Affiliations

  1. Polytechnic Institute of Setúbal/IPS, Setúbal, Portugal

    Cédric Grueau

  2. Knowledge Systems Institute, Skokie, IL, USA

    Robert Laurini

  3. ATHENA Research & Innovation Information Technologies, Marousi, Greece

    Lemonia Ragia

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Al-Ruzouq, R., Shanableh, A., Yilmaz, A.G., Mukherjee, S., Khalil, M.A. (2023). Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones. In: Grueau, C., Laurini, R., Ragia, L. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM GISTAM 2021 2022. Communications in Computer and Information Science, vol 1908. Springer, Cham. https://doi.org/10.1007/978-3-031-44112-7_3

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  • DOI: https://doi.org/10.1007/978-3-031-44112-7_3

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