干旱区生态环境知识资源中心(Arid): Selecting potential locations for groundwater recharge by means of remote sensing and GIS and weighting based on Boolean logic and analytic hierarchy process

Arid

DOI	10.1007/s12665-021-10071-4
	Selecting potential locations for groundwater recharge by means of remote sensing and GIS and weighting based on Boolean logic and analytic hierarchy process
	Ardakani, Amir Hossien Hatefi; Shojaei, Saeed; Shahvaran, Ali Reza; Kalantari, Zahra; Cerda, Artemi; Tiefenbacher, John
通讯作者	Shojaei, S (corresponding author), Univ Tehran, Fac Nat Resources, Dept Arid & Mt Reg Reclamat, Tehran, Iran.
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2022
卷号	81 期号:1
英文摘要	Growing demand for water, as a consequence of population growth, farmland irrigation, and industrial expansion, results in groundwater resources exploitation. This, in combination with droughts induced by climate change, has caused a sharp drop in groundwater levels throughout arid and semiarid countries. In Iran, all these factors are resulting in alarming water scarcity. Appropriate management and control of existing water resources can overcome water shortages, with healthy and sustainable management of groundwater as one of the most efficient tools. Artificial recharge of aquifers can be used to replenish water supplies and restore the water resources in Iran and other semiarid and arid countries, but selection of the right location for runoff collection is essential to achieve success. Precipitation, slope, geology, lineament density, drainage density, aquifer water quality, groundwater level, vegetation, and land use were selected in this study as key factors in locating suitable sites for artificial recharge. The weight of each, in terms of importance and impact on aquifer recharge, was determined using remote sensing techniques to prepare layers and analytic hierarchy process (AHP) and Boolean logic to identify the optimal weight for each factor. Geographic information system (GIS) was used for modeling, applying the weight of each criterion, and producing a final map. The results showed better performance of AHP than Boolean logic. For artificial recharge, 9.9% of the total study area (Mahdishahr in northern Iran) was found to be in a very good position and 22.6% in a good position. On filtering the privacy layer of fountains and aqueducts, the very good and good area declined to 8.4% and 14.7% of the total area, respectively, and mainly comprised alluvial valleys and coarse alluvial sediments with low slope and drainage density.
英文关键词	AHP Groundwater Boolean GIS Remote sensing
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000727355200004
WOS关键词	ARTIFICIAL RECHARGE ; SUSTAINABLE DEVELOPMENT ; SITE SELECTION ; INFORMATION-SYSTEM ; DECISION-MAKING ; ZONES ; WATER ; DELINEATION ; DISTRICT ; IMPACTS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374405
作者单位	[Ardakani, Amir Hossien Hatefi] Univ Semnan, Coll Nat Resources & Desert, Dept Management Arid & Desert Reg, Semnan, Iran; [Shojaei, Saeed] Univ Tehran, Fac Nat Resources, Dept Arid & Mt Reg Reclamat, Tehran, Iran; [Shahvaran, Ali Reza] Iran Univ Sci & Technol, Sch Civil Engn, Tehran, Iran; [Kalantari, Zahra] KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn SEED, Stockholm, Sweden; [Kalantari, Zahra] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden; [Kalantari, Zahra] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden; [Cerda, Artemi] Univ Valencia, Dept Geog, Soil Eros & Degradat Res Grp, Blasco Ibanez 28, Valencia 46010, Spain; [Tiefenbacher, John] Texas State Univ, Dept Geog, San Marcos, TX USA
推荐引用方式 GB/T 7714	Ardakani, Amir Hossien Hatefi,Shojaei, Saeed,Shahvaran, Ali Reza,et al. Selecting potential locations for groundwater recharge by means of remote sensing and GIS and weighting based on Boolean logic and analytic hierarchy process[J],2022,81(1).
APA	Ardakani, Amir Hossien Hatefi,Shojaei, Saeed,Shahvaran, Ali Reza,Kalantari, Zahra,Cerda, Artemi,&Tiefenbacher, John.(2022).Selecting potential locations for groundwater recharge by means of remote sensing and GIS and weighting based on Boolean logic and analytic hierarchy process.ENVIRONMENTAL EARTH SCIENCES,81(1).
MLA	Ardakani, Amir Hossien Hatefi,et al."Selecting potential locations for groundwater recharge by means of remote sensing and GIS and weighting based on Boolean logic and analytic hierarchy process".ENVIRONMENTAL EARTH SCIENCES 81.1(2022).