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Delineation of groundwater potential zone using analytical hierarchy process and GIS for Gundihalla watershed, Karnataka, India
Arabian Journal of Geosciences Pub Date : 2020-07-18 , DOI: 10.1007/s12517-020-05712-0
Subbarayan Saravanan , Thiyagarajan Saranya , Jesudasan Jacinth Jennifer , Leelambar Singh , Ayyakkannu Selvaraj , Devanantham Abijith

Remote sensing (RS) and geographical information system (GIS) have a wide range of applications in groundwater assessment, exploration, and resource management. Several other types of research targeting the water quality assessment in the study area have been done. However, the present work is the first attempt to delineate the groundwater potential zone using a different approach. This paper finds the way to identify the groundwater potential zone for Gundihalla watershed located in the hard rock region of Bellary district in Karnataka state. Various thematic layers such as geomorphology, lithology, land use and land cover (LULC), soil, drainage density, lineament density, rainfall, and slope were prepared for the study area. The various sub-criteria of each thematic layer were ranked based on their influence in the groundwater recharge, and each thematic layer was given a weightage, derived from the analytical hierarchy process (AHP). The overall groundwater potential map for the study areas is obtained by performing a weighted overlay analysis of all the thematic layers. The resultant groundwater potential zone (GWPZ) map is further categorized into five different groundwater potential: very good (76%) good (23.70%), moderate (23.30%), poor (18%), and very poor (16.40%). The obtained results were validated using groundwater fluctuation data for pre- and post-monsoon periods. The validation holds well for the methodology adopted. Thus, the results were utilized for carrying out water management through artificial recharge and further exploration approaches.



中文翻译:

使用层次分析法和GIS对印度卡纳塔克邦Gundihalla流域进行地下水潜在区划

遥感(RS)和地理信息系统(GIS)在地下水评估,勘探和资源管理中具有广泛的应用。针对研究区域水质评估的其他几种类型的研究已经完成。但是,目前的工作是使用不同方法划定地下水潜力区的首次尝试。本文找到了识别位于卡纳塔克邦贝拉里地区硬岩地区的贡迪哈拉流域地下水潜力区的方法。为研究区域准备了不同的主题层,如地貌,岩性,土地利用和土地覆盖(LULC),土壤,排水密度,线质密度,降雨量和坡度。根据各个主题层对地下水补给的影响,对各个子层的子标准进行了排名,并赋予每个主题层权重,这些权重源于层次分析法(AHP)。通过对所有专题图层进行加权叠加分析,可以获得研究区域的整体地下水潜力图。最终的地下水潜在地带(GWPZ)图进一步分为五个不同的地下水潜力:非常好(76%)好(23.70%),中等(23.30%),差(18%)和非常差(16.40%)。使用季风前后前后的地下水波动数据验证了获得的结果。验证非常适合采用的方法。因此,结果被用于通过人工补给和进一步的勘探方法进行水管理。通过对所有专题图层进行加权叠加分析,可以获得研究区域的整体地下水潜力图。最终的地下水潜在地带(GWPZ)图进一步分为五个不同的地下水潜力:非常好(76%)好(23.70%),中等(23.30%),差(18%)和非常差(16.40%)。利用季风前后前后的地下水波动数据验证了获得的结果。验证非常适合采用的方法。因此,结果被用于通过人工补给和进一步的勘探方法进行水管理。通过对所有专题图层进行加权叠加分析,可以获得研究区域的整体地下水潜力图。最终的地下水潜在地带(GWPZ)图进一步分为五个不同的地下水潜力:非常好(76%)好(23.70%),中等(23.30%),差(18%)和非常差(16.40%)。利用季风前后前后的地下水波动数据验证了获得的结果。验证非常适合采用的方法。因此,结果被用于通过人工补给和进一步的勘探方法进行水管理。非常好(76%)好(23.70%),中度(23.30%),差(18%)和非常差(16.40%)。使用季风前后前后的地下水波动数据验证了获得的结果。验证非常适合采用的方法。因此,结果被用于通过人工补给和进一步的勘探方法进行水管理。非常好(76%)好(23.70%),中度(23.30%),差(18%)和非常差(16.40%)。利用季风前后前后的地下水波动数据验证了获得的结果。验证非常适合采用的方法。因此,结果被用于通过人工补给和进一步的勘探方法进行水管理。

更新日期:2020-07-20
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