Department of Industries and Earth Sciences, Tamil University, Thanjavur, Tamil Nadu, 613010, India.
Environ Monit Assess. 2011 Feb;173(1-4):597-610. doi: 10.1007/s10661-010-1407-6. Epub 2010 Mar 25.
Remote sensing and geographical information system (GIS) has become one of the leading tools in the field of groundwater research, which helps in assessing, monitoring, and conserving groundwater resources. This paper mainly deals with the integrated approach of remote sensing and GIS to delineate groundwater potential zones in hard rock terrain. Digitized vector maps pertaining to chosen parameters, viz. geomorphology, geology, land use/land cover, lineament, relief, and drainage, were converted to raster data using 23 m×23 m grid cell size. Moreover, curvature of the study area was also considered while manipulating the spatial data. The raster maps of these parameters were assigned to their respective theme weight and class weights. The individual theme weight was multiplied by its respective class weight and then all the raster thematic layers were aggregated in a linear combination equation in Arc Map GIS Raster Calculator module. Moreover, the weighted layers were statistically modeled to get the areal extent of groundwater prospects with respect to each thematic layer. The final result depicts the favorable prospective zones in the study area and can be helpful in better planning and management of groundwater resources especially in hard rock terrains.
遥感和地理信息系统(GIS)已成为地下水研究领域的主要工具之一,有助于评估、监测和保护地下水资源。本文主要探讨了遥感和 GIS 的综合方法,以划定硬岩地形中的地下水潜力区。将与所选参数(地貌、地质、土地利用/土地覆盖、线性构造、地形和水系)有关的数字化矢量地图转换为栅格数据,栅格大小为 23m×23m。此外,在处理空间数据时还考虑了研究区域的曲率。将这些参数的栅格图分配给各自的主题权重和类别权重。将各个主题权重乘以各自的类别权重,然后将所有栅格专题图层在 ArcMap GIS 栅格计算器模块中的线性组合方程中进行聚合。此外,对加权图层进行统计建模,以获得每个专题图层的地下水前景的面积。最终结果描绘了研究区域中的有利的潜在区,有助于更好地规划和管理地下水资源,特别是在硬岩地形中。