干旱区生态环境知识资源中心(Arid): A new hybrid framework of site selection for groundwater recharge

Arid

DOI	10.1016/j.gsf.2021.101144
	A new hybrid framework of site selection for groundwater recharge
	Javadi, Saman; Saatsaz, Masoud; Shahdany, S. Mehdy Hashemy; Neshat, Aminreza; Milan, Sami Ghordoyee; Akbari, Sara
通讯作者	Javadi, S ; Shahdany, SMH (corresponding author), Univ Tehran, Coll Aburaihan, Dept Water Engn, Tehran, Iran.
来源期刊	GEOSCIENCE FRONTIERS
ISSN	1674-9871
出版年	2021
卷号	12 期号:4
英文摘要	Since incorrect site selection has sometimes led to the failure of artificial recharge projects, it is necessary to increase the effectiveness of such projects and minimize their failure by employing new techniques. Therefore, the present research used a combination of decision-making models, numerical groundwater modeling and clustering technique to determine suitable sites for implementation of an artificial recharge project. This hybrid approach was employed for the Yasouj aquifer located in southwestern Iran. In the first stage, by employing an AHP decision-making model, hydraulic conductivity, specific yield, slope, land use, depth to groundwater, and aquifer thickness were selected from 21 criteria used in previous research. The selected criteria were then entered as input into the classical k-means clustering model. Using the output, aquifer was divided into seven different regions or clusters. These clusters were then matched with the land use map, and some of the abandoned land areas were selected as the final option for implementing the artificial recharge project. Finally, the MODFLOW code in the GMS software was used to simulate the groundwater level and cluster the sites selected, with regards to increase in groundwater level. Results indicated that the most significant increases in groundwater level (43 and 27 cm) were those of Clusters 2 and 6 in the northern and western parts of the aquifer, respectively. Therefore, this approach can be used in other similar aquifers in arid and semi-arid regions to select the best sites for artificial recharge and to prevent loss of floodwaters. (c) 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.
英文关键词	Quantitative modeling MODFLOW Artificial recharge AHP K-means GMS
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:000654356800014
WOS关键词	ANALYTIC HIERARCHY PROCESS ; ARTIFICIAL RECHARGE ; CLUSTERING METHOD ; K-MEANS ; AQUIFER SYSTEM ; GIS ; CLASSIFICATION ; IDENTIFICATION ; DELINEATION ; MANAGEMENT
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350428
作者单位	[Javadi, Saman; Shahdany, S. Mehdy Hashemy; Milan, Sami Ghordoyee] Univ Tehran, Coll Aburaihan, Dept Water Engn, Tehran, Iran; [Saatsaz, Masoud] Inst Adv Studies Basic Sci IASBS, Ctr Res Climate Change & Global Warming CRCC, Zanjan, Iran; [Neshat, Aminreza] Islamic Azad Univ, Fac Nat Resources & Environm, Dept GIS RS, Sci & Res Branch, Tehran, Iran; [Akbari, Sara] Altaha Inst Higher Educ, Dept Civil Engn, Tehran, Iran
推荐引用方式 GB/T 7714	Javadi, Saman,Saatsaz, Masoud,Shahdany, S. Mehdy Hashemy,et al. A new hybrid framework of site selection for groundwater recharge[J],2021,12(4).
APA	Javadi, Saman,Saatsaz, Masoud,Shahdany, S. Mehdy Hashemy,Neshat, Aminreza,Milan, Sami Ghordoyee,&Akbari, Sara.(2021).A new hybrid framework of site selection for groundwater recharge.GEOSCIENCE FRONTIERS,12(4).
MLA	Javadi, Saman,et al."A new hybrid framework of site selection for groundwater recharge".GEOSCIENCE FRONTIERS 12.4(2021).