Application of Multi-criteria Geographic Information System to Determine the Potential of Rainwater Harvesting in the Wadi Al-Hasbah Basin Western Kingdom of Saudi Arabia | ||
| IRAQI JOURNAL OF DESERT STUDIES | ||
| Article 7, Volume 13, Issue 1, June 2023, Pages 62-75 PDF (2.95 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.36531/ijds.2023.139464.1034 | ||
| Author | ||
| AFRAH AHMAD ALZAHRANI* | ||
| Geographic Information Systems Department, College of Social Sciences, University of Jeddah, Jeddah, KSA. | ||
| Abstract | ||
| The study aims at the spatial analysis of water harvesting standards in the Wadi Al-Hasbah basin, Determining the suitability of the basin for harvesting runoff according to each criterion and applying the spatial suitability model to determine the most suitable areas for runoff harvesting using geographic information systems. Multiple data were collected and processed in preparation for deriving the spatial suitability model criteria for harvesting and determining their spatial suitability according to each variable. Therefore, the weights of these variables were calculated using the Analytic Hierarchy Process (AHP), and the criteria were merged according to their importance to produce a map of the spatial suitability of rainwater harvesting in the basin, depending on all spatial variables using GIS. The study's results revealed that the proportion of spatial suitability for rainwater harvesting in the basin ranged from 29.4% to 90.6% in areas with very high suitability for harvesting floodwaters. About 73.14 km2, at a rate of 5.72% of the basin area, and the area of the region that is characterized by poor suitability, as suitability rates range between 40-50%, is about 409.68 km2, or 32.06% of the basin area. The region's area characterized by moderate suitability, where suitability rates range between 50-60%, is about 506.9 km2, or 39.68% of the basin area. The basin area and the area are characterized by very high suitability, as the suitability rate exceeds 70%, about 56.57 km2, or 4.42% of the basin area. | ||
| Keywords | ||
| water harvest modeling; spatial fit; rainwater; Wadi Al-Ahsaba; Analytic Hierarchy Process | ||
| References | ||
|
Abd-el-Kader, M., Elfeky, A., Saber, S., AlHarbi, M., & Alataway, A. (2021). Designating Appropriate Areas for Determining Potential Rainwater Harvesting in Arid Region Using a GIS-based Multi-criteria Decision Analysis, pp.1-36.
Alzghoula, M., & Al-husbanb, Y. (2021). Rainwater harvesting and storage in Asir, Kingdom of Saudi Arabia, using spatial modeling and geographic information systems. Desalination and Water Treatment, 233, pp.19–29.
Awawdeh, M., Obeidat, M., & Seelawi, N. (2010). Mapping Potential Sites for Rainwater Harvesting (Dams) in the Pan-Handle of Jordan Using Geographic Information Systems, International Conference on Water Resources and Arid Environments, Riyadh, Saudi Arabia, pp. 844- 857.
Balkhair, K. S., & Ur Rahman, K. (2019). Development and assessment of rainwater harvesting suitability map using analytical hierarchy process. GIS and RS techniques Geocarto International, 36(4), 421-448.
ESRE, Land use/land cover. (2022). Source imagery, Sentinel-2, spatial resolution 10 m.
Kahinda, J. M., Lillie, E. S. B., Taigbenu, A. E., Taute, M. & Boroto, R. J. (2008). Developing suitability maps for rainwater harvesting in South Africa. Physics and Chemistry of the Earth, 33, 788–799.
Mahmoud, S. H., & Alazba, A. A. (2015). The potential of in situ rainwater harvesting in arid regions: developing a methodology to identify suitable areas using GIS-based decision support system. Arab J Geosci, 8, 5167–5179.
Mahmoud, S. H., Mohammad, F. S., & Alazba. A. A. (2015). Delineation of potential sites for rainwater harvesting structures using a geographic information system-based decision support system. Hydrology Research, 46, 591-606.
Mahmoud, S. H. (2014). Delineation of potential sites for groundwater recharge using a GIS-based decision support system. Environmental Earth Sciences, 72, 3429–3442.
Mbilinyi, B. P., Tumbo, S. D., Mahoo, H. & Mkiramwinyi, F. O. (2007). GIS-based decision support system for identifying potential sites for rainwater harvesting. Phys. Chem. Earth, 32 (15), 1074–1081.
Ministry of Agriculture and Water.(1986). Atlas of the General Map of Soils. Soil Maps (184, 185), scale, 1:250000, Riyadh, pp. 1-314.
Ministry of Petroleum and Mineral Resources. (1983). Al-Qunfudhah Geological Map. scale 1:250000, Riyadh.
NASA, Digital Earth Climate Data. (2022), spatial resolution of 0.25-0.50ᵒ.
NASA, Several datasets including land cover, biophysical parameters, elevation, and selected ORNL DAAC archived data are available through SDAT. (2022). spatial resolution of 228- 1088m.
Setiawan, O., & Nandin, R. (2021). Identification of suitable sites for rainwater harvesting using GIS based multi-criteria approach in Nusa Penida Island, Bali Province. Indonesia, 4th International Conference on Environmental Resources, Management (ICERM-2021) IOP Conf. Series: Earth and Environmental Science 1039 (2022) 012010, IOP Publishing, pp1-19.
Toosi, A. S., Tousi, E. G., Ghassemi, S. A., Cheshomi, A., & Alaghmand, S. (2020), A multi-criteria decision analysis approach towards efficient rainwater harvesting. Journal of Hydrology, 582, 124- 135.
USGS. Digital elevation modeling. 2022. spatial resolution 30 m.
USDA, TRR-55. (1986). Urban Hydrology for small watersheds, USA. | ||
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