Delineation of Groundwater potential zone using Geospatial and AHP techniques in Ken River Basin (KRB) in Central India

被引:0
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作者
Chandra Shekhar Dwivedi
Amarjeet Kumar Mahato
Arvind Chandra Pandey
Bikash Ranjan Parida
Ravi Kumar
机构
[1] Central University of Jharkhand,Department of Geoinformatics, School of Natural Resource Management
来源
Discover Water | / 4卷 / 1期
关键词
Remote sensing; AUROC curve; Geomorphology; Groundwater prospect; Groundwater yield; SDGs;
D O I
10.1007/s43832-024-00125-6
中图分类号
学科分类号
摘要
Groundwater is the most salient and utilitarian water resource for living organisms. However, major parts of the Ken River Basin (KRB) in Central India are grappling with the overexploitation of groundwater resources, primarily due to extensive agricultural activities, raising problems in achieving Sustainable Development Goals (SDGs) 2 and 6. This study focused on delineating groundwater potential zones (GPZ) by employing remote sensing and GIS-based thematic datasets, complemented by the application of the Analytic Hierarchy Process (AHP). The thematic layers consisting of geomorphology, precipitation, geology, soil texture, lineament density, slope, LULC, and drainage density were considered and further weights were allocated with respect to their water storing capacity and characteristics to groundwater occurrences to develop GPZs. The zones were generated by classifying overlayed maps into four categories namely, very low, low, moderate, and high. The key findings indicated that 13.84%, 62.34%, 23.37%, and 45% of areas were found under high, moderate, low, and very low GPZs respectively. Furthermore, the zonation map was validated with 48 boreholes’ yield, which revealed a noteworthy 77.08% borewells in concurrence with predicted zones. Area Under the Receiver Operating Characteristic (AUROC) curve showcased a commendable 70.1% accuracy using the ROC curve. These results were highly beneficial in formulating sustainable groundwater management plans and policies, contributing towards the attainment of targets outlined in SDGs 2 and 6, particularly in regions resembling the KRB.
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