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Site suitability analysis of indigenous rainwater harvesting systems in arid and data-poor environments: a case study of Sana’a Basin, Yemen

Author

Listed:
  • Musaed Aklan

    (IHE Delft Institute for Water Education
    Sana’a University
    Wageningen University and Research (WUR))

  • Muhammed Al-Komaim

    (Wageningen University and Research (WUR)
    Utrecht University)

  • Charlotte Fraiture

    (IHE Delft Institute for Water Education
    Wageningen University and Research (WUR))

Abstract

Indigenous rainwater harvesting (RWH) is a promising tool for increasing water availability and conserving groundwater in arid environments. This study aimed to develop a multicriteria analysis (MCA) framework to identify and rank suitable sites for different indigenous RWH systems in data-poor areas taking Sana’a Basin, Yemen, as a case study. Unlike previous research, this study focused only on indigenous RWH systems and, for the first time, considered the site suitability analysis of spate irrigation systems. Five biophysical and six socioeconomic criteria were used to select, prioritize, and map suitable zones for indigenous RWH systems. This study, the first to be conducted in Yemen, found that more than 30% of the case area has a high or very high level of suitability for each of the studied RWH systems. Only 11% to 17% of the area is not suitable for RWH due to socioeconomic activities. Twenty-four percent of the area was considered moderately suitable, and 28% had a low level of suitability for RWH. These results are promising, and the preliminary identification process of suitable areas for indigenous RWH systems is a useful guide for future water resource and land management programs. Graphical abstract

Suggested Citation

  • Musaed Aklan & Muhammed Al-Komaim & Charlotte Fraiture, 2023. "Site suitability analysis of indigenous rainwater harvesting systems in arid and data-poor environments: a case study of Sana’a Basin, Yemen," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8319-8342, August.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:8:d:10.1007_s10668-022-02402-7
    DOI: 10.1007/s10668-022-02402-7
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    References listed on IDEAS

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    1. Grum, Berhane & Hessel, Rudi & Kessler, Aad & Woldearegay, Kifle & Yazew, Eyasu & Ritsema, Coen & Geissen, Violette, 2016. "A decision support approach for the selection and implementation of water harvesting techniques in arid and semi-arid regions," Agricultural Water Management, Elsevier, vol. 173(C), pages 35-47.
    2. Kuldeep Tiwari & Rohit Goyal & Archana Sarkar, 2018. "GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1811-1825, March.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    4. Ray-Shyan Wu & Gabriela Lucia Letona Molina & Fiaz Hussain, 2018. "Optimal Sites Identification for Rainwater Harvesting in Northeastern Guatemala by Analytical Hierarchy Process," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 4139-4153, September.
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