Targeting runoff hotspots for sustainable rainwater harvesting in arid regions

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.

Authors

Institutions

Publication Details

Journal
Cleaner Water
Published
2025-11-06
DOI
https://doi.org/10.1016/j.clwat.2025.100166
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeting runoff hotspots for sustainable rainwater harvesting in arid regions

Alban Kuriqi, Elsayed M. Ramadan, Ismail Abd‐Elaty, Amal Magdy et al.
Cleaner Water
Groundwater and Watershed Analysis
article

Targeting runoff hotspots for sustainable rainwater harvesting in arid regions

Alban Kuriqi, Elsayed M. Ramadan, Ismail Abd‐Elaty, Amal Magdy, Atef A. El-Saiad, Ashraf Ahmed
article en

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.

Cleaner WaterVol. 4
Wrocław University of Science and Technology (PL), Zagazig University (EG), University for Business and Technology (XK), Brunel University of London (GB), AGH University of Krakow (PL)
Openalex Percentile: Top 69%
Groundwater and Watershed Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.