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首页> 外文期刊>Journal of earth system science >Delineating groundwater prospect zones in a region with extreme climatic conditions using GIS and remote sensing techniques: A case study from central India
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Delineating groundwater prospect zones in a region with extreme climatic conditions using GIS and remote sensing techniques: A case study from central India

机译:使用GIS和遥感技术划定一个具有极端气候条件的地区的地下水前景区:印度中部的案例研究

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摘要

Sustainable groundwater management of an extreme climatic region is very important from both social and economic point of view. This study attempts to delineate the groundwater potential zones of Sonepur district, Odisha, which falls under an extreme climatic region, using remote sensing, geographical information system and Saatya??s analytical hierarchy process (AHP). Different ancillary data, multiple data sets obtained from LANDSAT 8 OLI and ASTER Level-1T were used in conjunction with Cartosat-1 imagery to study the detailed physical attributes of the study area and to prepare the groundwater prospect map using a weighted overlay method in ArcGIS 10.4 software. The AHP technique was used for determining the weights of each layer. From the groundwater prospect map, it was found that 52% of the area belongs to the moderate groundwater prospect zone followed by good to very good, very good to excellent (32%) and poor (16%) groundwater prospect zones. Statistical analysis of the number of existing wells in each of these water potential zones and their water level was used to verify the accuracy of the water potentiality estimated in this study. The groundwater potentiality map prepared as a part of this study would serve as an important tool for identifying suitable zones for rainwater harvesting and also for managing groundwater abstraction for a safe and sustainable water supply.
机译:极端气候区域的可持续地下水管理从社会和经济角度都非常重要。本研究试图利用遥感,地理信息系统和Saatya的分析层次处理(AHP),描绘奥西沙的地下田的地下域潜在地区,该区域落在极端气候区域下,该地区落在极端气候区域。不同的辅助数据,从Landsat 8 OLI和Aster Level-1T获得的多个数据集与Cartosat-1图像一起使用,以研究研究区域的详细物理属性,并在ArcGIS中使用加权叠加方法准备地下水前景图10.4软件。 AHP技术用于确定每层的重量。从地下水前景图中发现,52%的地区属于温和地下水前景区,随后是良好的,非常好,非常好,优秀(32%)和差(16%)地下水前景区。使用这些水势区中每一个的现有井数的统计分析,用于验证本研究估计的水潜力的准确性。作为本研究的一部分制备的地下水潜力图将作为识别适用于雨水收集区域的重要工具,并用于管理安全和可持续的供水的地下水抽象。

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