干旱区生态环境知识资源中心(Arid): Efficient rainwater harvesting planning using socio-environmental variables and data-driven geospatial techniques

Arid

DOI	10.1016/j.jclepro.2021.127706
	Efficient rainwater harvesting planning using socio-environmental variables and data-driven geospatial techniques
	Darabi, Hamid; Moradi, Ehsan; Davudirad, Ali Akbar; Ehteram, Mohammad; Cerda, Artemi; Haghighi, Ali Torabi
通讯作者	Moradi, E (corresponding author), Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mountainous Reg, Karaj, Iran.
来源期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
EISSN	1879-1786
出版年	2021
卷号	311
英文摘要	Water scarcity is increasing worldwide due to population growth and climate variability/change. As a supplementary water resource, Rainwater harvesting (RWH) is a possible solution for dealing with water scarcity, particularly in arid and semi-arid regions with considerable water demand and high variability in precipitation and unexpected extreme events (floods and droughts). The success of RWH systems significantly depends on the location of RWH structures and usually selecting suitable sites is challenging for decision-makers and managers. This paper presents an approach for mapping suitable sites for RWH structures using socio-environmental variables and artificial intelligence algorithms (AIAs). Based on FAO recommendations, the most important conditioning variables for RWH systems are elevation, slope, aspect, precipitation, temperature, distance from the river, curve number (CN), land use, geology, soil type, population density, distance from road, and distance from lakes. An ensemble model was developed based on AIAs, socio-environmental variables, and existing RWH projects, and used for RWH suitability mapping in the large Maharloo-Bakhtegan basin, Iran. Model performance was evaluated using receiver operating characteristic (ROC) and Kappa index. Using the best-performing model, threshold values for conditioning variables were determined from probability curves (PC). The results showed that land use, precipitation, soil type, CN and slope were the most important variables for RHW sites, with the lowest correlation and autocorrelation. The suitability map indicated that 9.7% (3070 km(2)) of Maharloo-Bakhtegan basin had very high suitability for RWH systems. Thus, in RWH suitability mapping for large area, climate, hydrological, geological, agricultural, topographical, human and socio-economic parameters should be considered to enable efficient RWH planning. Probability curves revealed that the optimum parameter range (alpha) in Maharloo-Bakhtegan basin was precipitation 357-428 mm, temperature 12.80-15.16 degrees C, slope 3-6%, elevation 1612-1975 m asl, distance from lake 32-45 km, distance from river 11.4-15.9 km, distance from road 2.59-4.80 km. The RWH suitability map presented can assist decision-makers, hydrologists, and natural resources planners in finding suitable locations for constructing RWH systems.
英文关键词	Water scarcity RWH planning AIAs Probability curve (PC) Optimum range
类型	Article
语种	英语
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000668119800005
WOS关键词	IDENTIFYING POTENTIAL SITES ; GIS-BASED APPROACH ; CLIMATE-CHANGE ; WATER CONSERVATION ; RAIN ; MODEL ; SYSTEMS ; SOUTH ; RELIABILITY ; SUITABILITY
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350767
作者单位	[Darabi, Hamid; Haghighi, Ali Torabi] Univ Oulu, Water Energy & Environm Engn Res Unit, POB 4300, FIN-90014 Oulu, Finland; [Moradi, Ehsan] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mountainous Reg, Karaj, Iran; [Davudirad, Ali Akbar] Agr Res Educ & Extens Org AREEO, Agr & Nat Resources Res & Educ Ctr Markazi Prov, POB 38188-9-3811, Arak, Iran; [Ehteram, Mohammad] Semnan Univ, Fac Civil Engn, Dept Water Engn & Hydraul Struct, Semnan, Iran; [Cerda, Artemi] Univ Valencia, Soil Eros & Degradat Res Grp, Dept Geog, Blasco Ibanez 28, Valencia 46010, Spain
推荐引用方式 GB/T 7714	Darabi, Hamid,Moradi, Ehsan,Davudirad, Ali Akbar,et al. Efficient rainwater harvesting planning using socio-environmental variables and data-driven geospatial techniques[J],2021,311.
APA	Darabi, Hamid,Moradi, Ehsan,Davudirad, Ali Akbar,Ehteram, Mohammad,Cerda, Artemi,&Haghighi, Ali Torabi.(2021).Efficient rainwater harvesting planning using socio-environmental variables and data-driven geospatial techniques.JOURNAL OF CLEANER PRODUCTION,311.
MLA	Darabi, Hamid,et al."Efficient rainwater harvesting planning using socio-environmental variables and data-driven geospatial techniques".JOURNAL OF CLEANER PRODUCTION 311(2021).