The identification of ground water potential zones in the Chinhat block, district Lucknow, U.P. has been carried out based on the scientific investigation of drainage, gydro-geomorphology, lithology, soil, land use and land cover, geo-resistivity data and their inter-relationship. Thematic layers of drainage, canal, surface water body, geomorphology, lithology, lineament, soil, and land use and land cover were prepared with the help of satellite images. Field traverses along litho-stratigraphic units was made to check ground truth. Dug well data were collected at different locations in the district. digital elevation model (DEM) of the area was generated using SRTM data. Slope map was prepared from DEM. To generate these layers a step-approach, i.e., digitization, editing, building topological structure and finally, polygonization for GIS overlay analysis was followed. Every class in the thematic layers were placed into one of the following categories viz. (i) excellent (ii) good (iii) moderate (iv) poor, and (v) very poor depending on their level of groundwater potential. Considering their behavior with respect to groundwater control, the different classes were given suitable values, according to their importance relative to other classes in the same thematic layer. To find out the more realistic ground water potentiality map of the area, the relevant layers which include geomorphology, lithology, lineament, slope, drainage density, soil type and landuse/landcover were integrated in Arc/Info grid environment. Criteria for GIS analysis have been defined on the basis of ground water conditions and appropriate weightage were assigned to each information layer according to relative contribution towards the desired output. The inferred results have also been validated by the yield data collected from the existing sources. The findings based on the drilling data confirms that the higher yield categories fall in the excellent ground water potential zones while the area marked as very poor ground water potential zone fall under low yield categories.

中文翻译：

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北方邦勒克瑙地区 Chinhat 区块地下水潜在区的划定——综合方法

在对排水、陀螺地貌、岩性、土壤、土地利用和土地覆盖、地电阻率数据及其相互间的科学调查的基础上，已对 UP Lucknow 区 Chinhat 区块的地下水潜力区进行了识别。关系。在卫星图像的帮助下，准备了排水、运河、地表水体、地貌、岩性、线状、土壤以及土地利用和土地覆盖的专题层。沿着岩性地层单元进行了实地考察，以检查地面实况。在该地区的不同地点收集了挖井数据。该地区的数字高程模型 (DEM) 是使用 SRTM 数据生成的。坡度图由 DEM 制作。生成这些层的步骤方法，即数字化、编辑、构建拓扑结构，最后，多边形化用于 GIS 叠加分析。专题图层中的每个类都被归入以下类别之一，即。(i) 极好 (ii) 好 (iii) 中等 (iv) 差，和 (v) 非常差，取决于它们的地下水潜力水平。考虑到它们在地下水控制方面的行为，根据它们相对于同一主题层中其他类的重要性，不同的类被赋予了合适的值。为了找到更真实的该地区地下水潜力图，在 Arc/Info 网格环境中整合了包括地貌、岩性、线条、坡度、排水密度、土壤类型和土地利用/土地覆盖等相关图层。GIS 分析的标准已根据地下水状况定义，并根据对所需输出的相对贡献为每个信息层分配适当的权重。从现有来源收集的产量数据也验证了推断结果。基于钻井数据的研究结果证实，较高的产量类别属于优良的地下水潜力区，而标记为非常差的地下水潜力区的地区属于低产量的类别。