Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32303
Title: Targeting Runoff Hotspots for Sustainable Rainwater Harvesting in Arid Regions
Authors: Magdy, A
Elsaiad, A
Ramadan, E-SM
Kuriqi, A
Ahmed, AA
Abd-Elaty, I
Keywords: climate change;floods;nature-based;rainwater harvesting;water scarcity
Issue Date: 5-Nov-2025
Publisher: Elsevier
Citation: Magdy, A. et al. (2025) 'Targeting Runoff Hotspots for Sustainable Rainwater Harvesting in Arid Regions', Cleaner Water, 0 (in press, pre-proof), 100166, pp. 1 - 31. doi: 10.1016/j.clwat.2025.100166.
Abstract: Rainwater harvesting (RWH) is a crucial strategy for enhancing water availability in arid regions and supporting local livelihoods, including those of Bedouin communities. Rainwater. This study focuses on Wadi Sudr, located opposite Ras Sudr city in the Sinai Peninsula, to identify optimal RWH sites and recommend suitable harvesting techniques. A weighted spatial probability model (WSPM) was developed within a Geographic Information System (GIS) framework, incorporating eight morphometric parameters. Two scenarios were evaluated: 1) equal weighting of all factors and 2) analytical hierarchy process (AHP) based weighting. The resulting maps classified the watershed into five RWH potential categories. Scenario 1 (equal weighting) identified 49.6% of the area as high or very high potential. In contrast, Scenario 2 (AHP-based) refined this to 18.2%, emphasising the role of basin shape, slope, and valley floor area. High- and very high-priority zones guided recommendations for two surface storage dams in Al-Mleha, with capacities of 25,000–30,000 m³, and Al-Athamy, with capacities of 70,000–80,000 m³, sub-catchments, complemented by cisterns to support remote communities. By integrating GIS, WSPM, and AHP into a unified framework, this study delivers a replicable methodology for prioritising RWH in arid regions, balancing efficiency with accessibility to strengthen sustainable water resource management.
Description: Availability of data and material: Upon request.
Code availability: Upon request.
Declaration of Generative AI and AI-assisted technologies in the writing process: During the preparation of this paper, the authors employed ChatGPT 5.0 to improve solely the clarity, structure, and language of the manuscript, followed by a thorough review and manual editing of the content.
URI: https://bura.brunel.ac.uk/handle/2438/32303
DOI: https://doi.org/10.1016/j.clwat.2025.100166
Other Identifiers: ORCiD: Alban Kuriqi https://orcid.org/0000-0001-7464-8377
Article number: 100166
Appears in Collections:Dept of Civil and Environmental Engineering Research Papers

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