干旱区生态环境知识资源中心(Arid): A multi-criteria decision analysis approach towards efficient rainwater harvesting

Arid

DOI	10.1016/j.jhydrol.2019.124501
	A multi-criteria decision analysis approach towards efficient rainwater harvesting
	Toosi, Amirhossein Shadmehri 1; Tousi, Erfan Ghasemi 2; Ghassemi, Seyed Ali 1; Cheshomi, Ali 3; Alaghmand, Sina 4
通讯作者	Alaghmand, Sina
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2020
卷号	582
英文摘要	Rainwater Harvesting (RWH) is becoming one of the most promising alternative sources of fresh water which can be potentially captured and utilized, particularly in arid and semi-arid regions (ASARs). However, identification of potential sites for RWH on a large scale has always been a great challenge, and therefore, requires further studies. Most recent studies on this topic select RWH zones employing Geographic Information Systems (GIS), combined with multi-criteria analysis and hydrological models. Nevertheless, there are a few studies, mostly in small catchments, that locate potential zones considering socio-economic factors. In this paper, a GIS-based Multi-Criteria Decision Analysis (MCDA) is presented to identify potential RWH areas incorporating socio-economic factors including distance from drainage networks, roads, urban areas, faults, farms and wells. The proposed methodology was implemented at a large catchment scale in Mashhad Plain Basin with an area of 9762 (km(2)) located in the northeast of Iran. Results show that 48% of the study area is not suitable for RWH. The rest of the study area is divided into three potential zones that are poor, moderate and good for RWH, covering 31%, 43%, and 26% of the potential areas, respectively. Ponds and pans, check dams and terracing were considered as the best practices for the good RWH potential areas. Preliminary estimates suggest that up to 158, 135 and 110 M m(3) of precipitation could be received respectively by each system.
英文关键词	Rainwater harvesting Decision support system Geospatial techniques Water conservation
类型	Article
语种	英语
国家	Iran ; USA ; Italy ; Australia
收录类别	SCI-E
WOS记录号	WOS:000517663700026
WOS关键词	STATE GROUNDWATER INFLOW ; GIS-BASED APPROACH ; POTENTIAL SITES ; WATERSHED DEVELOPMENT ; SUPPORT-SYSTEM ; MASHHAD PLAIN ; RIVER-BASIN ; SCS-CN ; IMPACTS ; MANAGEMENT
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
来源机构	University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314992
作者单位	1.Ferdowsi Univ Mashhad, Dept Civil Engn, Mashhad, Razavi Khorasan, Iran; 2.Univ Arizona, Dept Civil & Architectural Engn & Mech, Tucson, AZ USA; 3.Politecn Milan, Dept Civil Engn & Environm Engn, Milan, Italy; 4.Monash Univ, Dept Civil Engn, 23 Coll Walk, Clayton, Vic 3800, Australia
推荐引用方式 GB/T 7714	Toosi, Amirhossein Shadmehri,Tousi, Erfan Ghasemi,Ghassemi, Seyed Ali,et al. A multi-criteria decision analysis approach towards efficient rainwater harvesting[J]. University of Arizona,2020,582.
APA	Toosi, Amirhossein Shadmehri,Tousi, Erfan Ghasemi,Ghassemi, Seyed Ali,Cheshomi, Ali,&Alaghmand, Sina.(2020).A multi-criteria decision analysis approach towards efficient rainwater harvesting.JOURNAL OF HYDROLOGY,582.
MLA	Toosi, Amirhossein Shadmehri,et al."A multi-criteria decision analysis approach towards efficient rainwater harvesting".JOURNAL OF HYDROLOGY 582(2020).