Delineation of the Groundwater Potential Zone in Kantli River Basin, Jhunjhunu District, Rajasthan: A Geospatial Approach

Tanmoy Chatterjee, Duryadhan Behera, Prasanta Kumar Patra, Shreerup Goswami
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Abstract

Remote sensing and GIS are advanced techniques and tools that have been used for various researches including groundwater geology. The Landsat and the IRS satellite datasets have been utilized to extract information on the hydrogeomorphic and groundwater related features of a semi-arid Precambrian hard rock terrain in the Kantli River Basin of Jhunjhunu District, Rajasthan, India. It is the upper part of the Shekhawati River. The study area is covering about 2313.2013 km2 in the Jhunjhunu District, Rajasthan. In the present study, the groundwater potential zone is identified by the GIS overlay techniques using the spatial analyst tool in ArcGIS 10.2. The developed methodology is demonstrated in the Kantli River Basin of Rajasthan, western India. Originally, nine thematic layers, viz. topographic elevation, land slope, geomorphology, geology, soil, pre and post-monsoon groundwater depths, annual net recharge, annual rainfall and proximity to surface water bodies were considered in this study. Therefore, five groundwater potential zones were identified and distinguished in the study area, viz. 'very good', 'good', 'moderate', 'poor' and 'very poor' based on groundwater potential index values, which will enable the local bodies for the future planning and management of the groundwater resource. Severe groundwater contamination has been found occasionally in the study area. Every year during the summer, the region is facing a lot of problems with portable groundwater. As the study area is semi-desert, the influences of salinity have been increasing day by day in the groundwater. Keywords: Groundwater, Remote Sensing, Kantli River, Satellite Images, GIS, Potential zone
拉贾斯坦邦Jhunjhunu地区Kantli河流域地下水潜力带的地理空间划分
遥感和地理信息系统是用于包括地下水地质在内的各种研究的先进技术和工具。利用Landsat和IRS卫星资料,对印度拉贾斯坦邦Jhunjhunu地区Kantli河流域半干旱前寒武纪硬岩地形的水文地貌和地下水相关特征进行了研究。它是谢卡瓦蒂河的上游。研究区域位于拉贾斯坦邦Jhunjhunu地区,面积约2313.2013 km2。本研究利用ArcGIS 10.2中的空间分析工具,采用GIS叠加技术对地下水潜势区进行识别。开发的方法在印度西部拉贾斯坦邦的Kantli河流域进行了演示。本研究最初考虑了地形高程、土地坡度、地貌、地质、土壤、季风前和季风后地下水深度、年净补给、年降雨量和与地表水体的接近程度等9个主题层。据此,在研究区划分出5个地下水潜势区:地下水潜力指标值分为“很好”、“好”、“中等”、“差”和“很差”四个等级,便于地方机关对地下水资源进行未来规划和管理。研究区内偶尔发现严重的地下水污染。每年夏季,该地区都面临着大量的地下水问题。由于研究区为半沙漠,盐度对地下水的影响日益增大。关键词:地下水,遥感,坎特里河,卫星图像,GIS,潜力区
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