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Identification of Potential Groundwater Recharge Zones Using Remote Sensing and Geographical Information System in Amaravathy Basin

机译:利用Amaravathy盆地的遥感和地理信息系统识别潜在的地下水补给区

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Integration of remote sensing and geographical information system (GIS) has become a breakthrough in the field of groundwater studies. The demand for water is increasing exponentially each year showing an increase in dependence on groundwater sources as surface water sources are no longer satisfying the demand. The present study attempts to identify the potential recharge zones and locations for artificial recharge structures in Amaravathy Basin, Tamil Nadu. Weighted overlay analysis tool in Arc GIS application is used to identify the areas. The input data for this analysis are different layers like geology, geomorphology, soil, rainfall, land use-land cover, soil lineament density and drainage density. The result depicted the groundwater potential zones into four categories, viz., good, moderate, low and poor that and can be used for better planning and management of groundwater resources. Various groundwater recharge structures like boulder dams, check dams, percolation tanks, recharge pits etc., were suggested in appropriate locations of Amaravathy basin according to the derived results.
机译:遥感与地理信息系统(GIS)的集成已成为地下水研究领域的一项突破。每年对水的需求呈指数增长,这表明对地表水的依赖日益增加,这是因为地表水源不再满足需求。本研究试图确定泰米尔纳德邦Amaravathy盆地中人工补给结构的潜在补给区和位置。 Arc GIS应用程序中的加权叠加分析工具用于识别区域。此分析的输入数据是不同的图层,例如地质,地貌,土壤,降雨,土地利用-土地覆盖,土壤表层密度和排水密度。结果将地下水潜在地带分为四个类别,即好,中,低和差,可用于更好地规划和管理地下水资源。根据得出的结果,在Amaravathy盆地的适当位置建议了各种地下水补给结构,如巨石坝,止水坝,渗滤池,补给坑等。

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