干旱区生态环境知识资源中心(Arid): Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area

Arid

DOI	10.3390/w13050704
	Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area
	Al-Ghobari, Hussein; Dewidar, Ahmed Z.
通讯作者	Dewidar, AZ (corresponding author), King Saud Univ, Dept Agr Engn, Coll Food & Agr Sci, POB 2460, Riyadh 11451, Saudi Arabia.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:5
英文摘要	An increasing scarcity of water, as well as rapid global climate change, requires more effective water conservation alternatives. One promising alternative is rainwater harvesting (RWH). Nevertheless, the evaluation of RWH potential together with the selection of appropriate sites for RWH structures is significantly difficult for the water managers. This study deals with this difficulty by identifying RWH potential areas and sites for RWH structures utilizing geospatial and multi-criteria decision analysis (MCDA) techniques. The conventional data and remote sensing data were employed to set up needed thematic layers using ArcGIS software. The soil conservation service curve number (SCS-CN) method was used to determine surface runoff, centered on which yearly runoff potential map was produced in the ArcGIS environment. Thematic layers such as drainage density, slope, land use/cover, and runoff were allotted appropriate weights to produced RWH potential areas and zones appropriate for RWH structures maps of the study location. Results analysis revealed that the outcomes of the spatial allocation of yearly surface runoff depth ranging from 83 to 295 mm. Moreover, RWH potential areas results showed that the study areas can be categorized into three RWH potential areas: (a) low suitability, (b) medium suitability, and (c) high suitability. Nearly 40% of the watershed zone falls within medium and high suitability RWH potential areas. It is deduced that the integrated MCDA and geospatial techniques provide a valuable and formidable resource for the strategizing of RWH within the study zones.
英文关键词	AHP GIS MCDA rainwater harvesting SCS-CN suitability
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000628577500001
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
来源机构	King Saud University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351944
作者单位	[Al-Ghobari, Hussein; Dewidar, Ahmed Z.] King Saud Univ, Dept Agr Engn, Coll Food & Agr Sci, POB 2460, Riyadh 11451, Saudi Arabia
推荐引用方式 GB/T 7714	Al-Ghobari, Hussein,Dewidar, Ahmed Z.. Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area[J]. King Saud University,2021,13(5).
APA	Al-Ghobari, Hussein,&Dewidar, Ahmed Z..(2021).Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area.WATER,13(5).
MLA	Al-Ghobari, Hussein,et al."Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area".WATER 13.5(2021).