Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan

doi:10.1016/j.gsf.2019.12.013

	Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan
	Arshad, Arfan 2,3; Zhang, Zhijie 4; Zhang, Wanchang 2,3; Dilawar, Adil 1,3
刊名	GEOSCIENCE FRONTIERS
	2020-09-01
卷号	11 期号:5 页码:1805-1819
关键词	Weightage overlay Analytical hierarchical process (AHP) analysis Frequency ratio (FR) Vulnerability Groundwater recharge zones Area under curve (AUC)
ISSN号	1674-9871
DOI	10.1016/j.gsf.2019.12.013
通讯作者	Zhang, Wanchang(zhangwc@radi.ac.cn)
英文摘要	In Punjab (Pakistan), the increasing population and expansion of land use for agriculture have severely exploited the regional groundwater resources. Intensive pumping has resulted in a rapid decline in the level of the water table as well as its quality. Better management practices and artificial recharge are needed for the development of sustainable groundwater resources. This study proposes a methodology to delineate favorable groundwater potential recharge zones (FPRI) by integrating maps of groundwater potential recharge index (PRI) with the DRASTIC-based groundwater vulnerability index (VI). In order to evaluate both indexes, different thematic layers corresponding to each index were overlaid in ArcGIS. In the overlay analysis, the weights (for various thematic layers) and rating values (for sub-classes) were allocated based on a review of published literature. Both were then normalized and modified using the analytical hierarchical process (AHP) and a frequency ratio model respectively. After evaluating PRI and FPRI, these maps were validated using the area under the curve (AUC) method. The PRI map indicates that 53% of the area assessed exists in very low to low recharge zones, 22% in moderate, and 25% in high to excellent potential recharge zones. The VI map indicates that 38% of the area assessed exists in very low to low vulnerability, 33% in moderate, and 29% in high to very high vulnerability zones. The FPRI map shows that the central region of Punjab is moderately-to-highly favorable for recharge due to its low vulnerability and high recharge potential. During the validation process, it was found that the AUC estimated with modified weights and rating values was 79% and 67%, for PRI and VI indexes, respectively. The AUC was less when evaluated using original weights and rating values taken from published literature. Maps of favorable groundwater potential recharge zones are helpful for planning and implementation of wells and hydraulic structures in this region.
资助项目	National Key Research and Development Program of China[2016YFA0602302] ; National Key Research and Development Program of China[2016YFB0502502]
WOS关键词	PROCESS AHP ; VULNERABILITY ASSESSMENT ; INFORMATION-SYSTEM ; DRASTIC MODEL ; DELINEATION ; BASIN ; DISTRICT ; TERRAIN ; AQUIFER ; INDIA
WOS研究方向	Geology
语种	英语
出版者	CHINA UNIV GEOSCIENCES, BEIJING
WOS记录号	WOS:000559821700023
资助机构	National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/158074]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Wanchang
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, 11A Dawn Rd, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100049, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Univ Connecticut, Ctr Environm Sci & Engn CESE, Dept Geog, Storrs, CT 06269 USA
推荐引用方式 GB/T 7714	Arshad, Arfan,Zhang, Zhijie,Zhang, Wanchang,et al. Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan[J]. GEOSCIENCE FRONTIERS,2020,11(5):1805-1819.
APA	Arshad, Arfan,Zhang, Zhijie,Zhang, Wanchang,&Dilawar, Adil.(2020).Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan.GEOSCIENCE FRONTIERS,11(5),1805-1819.
MLA	Arshad, Arfan,et al."Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan".GEOSCIENCE FRONTIERS 11.5(2020):1805-1819.