干旱区生态环境知识资源中心(Arid): Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China

Arid

DOI	10.1016/j.envsoft.2020.104868
	Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China
	Shao, Zhenfeng; Huq, Md Enamul; Cai, Bowen; Altan, Orhan; Li, Yan
通讯作者	Huq, ME
来源期刊	ENVIRONMENTAL MODELLING & SOFTWARE
ISSN	1364-8152
EISSN	1873-6726
出版年	2020
卷号	134
英文摘要	In Shanxi Province, China, groundwater is a major problem and exploration of groundwater potential zones (GWPZs) is a great necessity. This paper contributed to integrate RS-GIS to delineate GWPZ and applied Fuzzy-AHP method in a single platform. The main objective includes delineation GWPZs with RS and geoenvironmental factors using Fuzzy-AHP method. Fuzzy-AHP method was employed to calculate weight of factors. RS-GIS was used to create maps and discover groundwater availability. GWPZs were classified in five separate classes. Results indicated that 13.26%, 27.02%, 26.35%, 23.64%, and 9.71% area classified as very good, good, moderate, poor, and very poor GWPZs. The validated analytical results revealed 82.5%, 12.3%, 3.5%, and 1.7% existing water wells exhibited in very good, good, moderate, and poor/very poor GWPZs. This indicates Fuzzy-AHP model generated findings were in very good agreement with ground-truth data. This RS-GIS based Fuzzy-AHP method is proficient and efficient in identification and delineation of GWPZs.
英文关键词	Remote sensing GIS Fuzzy-AHP Groundwater Northern China
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000591712900001
WOS关键词	DECISION-ANALYSIS ; GEOCHEMISTRY ; METHODOLOGY ; MODEL ; BASIN
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327608
作者单位	[Shao, Zhenfeng; Huq, Md Enamul; Cai, Bowen] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China; [Altan, Orhan] Istanbul Tech Univ, Dept Geomat, TR-36626 Istanbul, Turkey; [Li, Yan] Inner Mongolia Elect Informat Vocat Tech Coll, 8 Suergan St, Hohhot, Inner Mongolia, Peoples R China
推荐引用方式 GB/T 7714	Shao, Zhenfeng,Huq, Md Enamul,Cai, Bowen,et al. Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China[J],2020,134.
APA	Shao, Zhenfeng,Huq, Md Enamul,Cai, Bowen,Altan, Orhan,&Li, Yan.(2020).Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China.ENVIRONMENTAL MODELLING & SOFTWARE,134.
MLA	Shao, Zhenfeng,et al."Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China".ENVIRONMENTAL MODELLING & SOFTWARE 134(2020).