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Delineation of Groundwater Potential Zones in Arid Region of India-A Remote Sensing and GIS Approach

机译:印度干旱区地下水潜在区划的遥感与GIS方法

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摘要

The present research is an attempt to find out the groundwater potential zones within an arid region of India supported by the scientific investigation of lithology, geomorphology, geohydrological characterization of geological formations and their interrelationship. Thematic layers of drainage, lithology, geomorphology, lineaments, slope, soil, digital elevation model, rainfall, landuse/land cover and well inventory have been generated by using ancillary data, digital satellite image, water level data of 90 observation wells for last 11 years (2000-2010), litholog data along with ground truthing. The groundwater potential zones have been classified into five categories like very poor, poor, moderate, good and excellent. The potential zones were obtained by weighted overlay combination using the spatial analyst tool in ArcGIS 9.2. During weighted overlay analysis, the ranking was given for each individual parameter of each thematic map and weights were assigned according to their influence such as lithology (20 %), geomorphology (15 %), lineament density (15 %), drainage density (15 %), soil (10 %), slope (10 %), rainfall (5 %), land use and land cover (5 %) and digital elevation model (DEM) (5 %) and it was found that the potential zones in terms of very poor, poor, moderate, good and excellent zones covered 13.7 %, 42.8 %, 27.3 %, 10.8% and 5.4% respectively of the total area. The result also has been validated by yield data collected from existing sources and it confirms that the higher yield categories are falling within excellent groundwater potential zones where yield ranges from 23 to 40.3 1/s and lower values ranging from 8.1 to 10.6 1/s are falling within poor groundwater potential zones.
机译:本研究是试图在印度干旱地区的岩性,地貌学,地质构造的地质水文特征及其相互关系的科学调查的支持下找到地下水的潜在带。通过使用辅助数据,数字卫星图像,最近11座90口观测井的水位数据,已生成了排水,岩性,地貌,线质,坡度,土壤,数字高程模型,降雨,土地利用/土地覆盖和油井清单的主题层年(2000-2010年),岩石学数据以及地面实况。地下水潜在地带已分为五类,分别为非常贫困,贫困,中等,良好和优良。使用ArcGIS 9.2中的空间分析器工具通过加权覆盖组合获得潜在区域。在加权叠加分析期间,将对每个专题图的每个单独参数进行排名,并根据其影响如岩性(20%),地貌(15%),线粒密度(15%),排水密度(15)分配权重%),土壤(10%),坡度(10%),降雨(5%),土地利用和土地覆盖(5%)和数字高程模型(DEM)(5%),发现潜在的区域极差,差,中,好和优等区分别占总面积的13.7%,42.8%,27.3%,10.8%和5.4%。从现有来源收集的产量数据也验证了该结果,并证实较高的产量类别属于极好的地下水潜力区,那里的产量范围为23至40.3 1 / s,较低的值范围为8.1至10.6 1 / s。落在地下水贫乏地区。

著录项

  • 来源
    《Water Resources Management》 |2012年第9期|p.2643-2672|共30页
  • 作者单位

    Remote Sensing Applications Laboratory, School of Environmental Sciences,Jawaharlal Nehru University, New Delhi 110067, India;

    Remote Sensing Applications Laboratory, School of Environmental Sciences,Jawaharlal Nehru University, New Delhi 110067, India,Department of Natural Resources, TERI University, New Delhi 110070, India;

    Remote Sensing Applications Laboratory, School of Environmental Sciences,Jawaharlal Nehru University, New Delhi 110067, India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    groundwater potential; remote sensing; kachchh; GIS; landsat image;

    机译:地下水潜力;遥感;卡奇地理信息系统卫星图像;

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