干旱区生态环境知识资源中心(Arid): Evaluation of Integrating SWAT Model into a Multi-Criteria Decision Analysis towards Reliable Rainwater Harvesting Systems

Arid

DOI	10.3390/w13141935
	Evaluation of Integrating SWAT Model into a Multi-Criteria Decision Analysis towards Reliable Rainwater Harvesting Systems
	Doulabian, Shahab; Tousi, Erfan Ghasemi; Aghlmand, Reza; Alizadeh, Babak; Bafti, Alireza Ghaderi; Abbasi, Ali
通讯作者	Abbasi, A (corresponding author), Ferdowsi Univ Mashhad, Fac Engn, Dept Civil Engn, Mashhad 9177948974, Razavi Khorasan, Iran. ; Abbasi, A (corresponding author), Delft Univ Technol, Fac Civil Engn & Geosci, Water Resources Sect, NL-2628 CN Delft, Netherlands.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:14
英文摘要	Rainwater harvesting (RWH) has been recognized as one of the most reliable and efficient methods for water supply, especially in arid and semi-arid regions (ASARs) facing freshwater scarcity. Nevertheless, due to the inherent uncertainty of input data and subjectivity involved in the selection of influential parameters, the identification of RWH potential areas is a challenging procedure. In this study, two approaches for locating potential RWH sites were implemented. In the first approach, a frequently-used method of the multi-criteria decision analysis and geographic information system (MCDA-GIS) was utilized, while, in the second approach, a novel strategy of integrating the soil and water assessment tool (SWAT) model as a hydrology model into an MCDA-GIS method was proposed to evaluate its performance in locating potential RWH sites. The Mashhad Plain Basin (MPB) was selected as a case study area. The developed potential RWH maps of the two approaches indicated similar patterns for potential RWH areas; in addition, the correlation coefficient (CC) between the two obtained maps were relatively high (i.e., CC = 0.914) revealing that integration of SWAT as a comprehensive hydrologic model does not necessarily result in very different outputs from the conventional method of MCDA-GIS for RWH evaluation. The overlap of developed maps of the two approaches indicated that 3394 km(2) of the study area, mainly located in the northern parts, was identified as high-potential RWH areas. The performed sensitivity analysis indicated that rainfall and slope criteria, with weights of 0.329 and 0.243, respectively, had the greatest sensitivity on the model in the first approach while in the second approach, the criterion of runoff coefficient (with weights of 0.358) had the highest impact. Based on results from the identification of the potential locations for conventional RWH techniques, pond and pan techniques are the most proper options, covering high-potential areas of RWH more effectively than other techniques over MPB.
英文关键词	rainwater harvesting multi-criteria decision analysis geospatial techniques SWAT model arid and semi-arid regions
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000677080300001
WOS关键词	GIS-BASED APPROACH ; IDENTIFYING POTENTIAL SITES ; STATE GROUNDWATER INFLOW ; RIVER-BASIN ; LAND-USE ; SENSITIVITY-ANALYSIS ; SUPPORT-SYSTEM ; SCS-CN ; IDENTIFICATION ; IMPACTS
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; 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/2XILL650/364830
作者单位	[Doulabian, Shahab] Shahrood Univ Technol, Dept Civil Engn, Shahrood 3619995161, Semnan, Iran; [Tousi, Erfan Ghasemi] Univ Arizona, Dept Civil & Architectural Engn & Mech, Tucson, AZ 85721 USA; [Aghlmand, Reza; Bafti, Alireza Ghaderi; Abbasi, Ali] Ferdowsi Univ Mashhad, Fac Engn, Dept Civil Engn, Mashhad 9177948974, Razavi Khorasan, Iran; [Alizadeh, Babak] Univ Texas Arlington, Dept Civil Engn, Arlington, TX 76019 USA; [Abbasi, Ali] Delft Univ Technol, Fac Civil Engn & Geosci, Water Resources Sect, NL-2628 CN Delft, Netherlands
推荐引用方式 GB/T 7714	Doulabian, Shahab,Tousi, Erfan Ghasemi,Aghlmand, Reza,et al. Evaluation of Integrating SWAT Model into a Multi-Criteria Decision Analysis towards Reliable Rainwater Harvesting Systems[J]. University of Arizona,2021,13(14).
APA	Doulabian, Shahab,Tousi, Erfan Ghasemi,Aghlmand, Reza,Alizadeh, Babak,Bafti, Alireza Ghaderi,&Abbasi, Ali.(2021).Evaluation of Integrating SWAT Model into a Multi-Criteria Decision Analysis towards Reliable Rainwater Harvesting Systems.WATER,13(14).
MLA	Doulabian, Shahab,et al."Evaluation of Integrating SWAT Model into a Multi-Criteria Decision Analysis towards Reliable Rainwater Harvesting Systems".WATER 13.14(2021).