Heuristic Evaluation of Groundwater in Arid Zones Using Remote Sensing and Geographic Information System
Heuristic Evaluation of Groundwater in Arid Zones Using Remote Sensing and Geographic Information System
复制标题
DOI：
10.1007/s13762-018-2104-1
复制
发表时间：
2020-02-01
影响因子：
3.1
通讯作者：
Ekhtesasi, M. R.
中科院分区：
文献类型：
--
作者：
Ardakani, A. H. H.;Shojaei, S.;Ekhtesasi, M. R.
本研究的目的是利用遥感和地理信息系统确定地下水的潜在区域。因此，一些有效的层提取，如地质，断裂和断层，地貌，坡度，土地利用和区域排水密度使用ETM遥感图像处理，如产生各种特征类代码，边缘检测过滤器，规定的分类和施加植被指数进行1：50,000地形图，地质和DEM。所有层根据其有效性的专家意见，使用层次分析法进行分类。他们也被加权在不同的类。在GIS中建模后，确定了伊朗塞姆南平原的地下水潜力。结果表明，Shemshak和火药砂岩地层中裂缝和断层的存在以及Lar层状地层中的厚灰岩导致这些地区被命名为地下水的高度良好潜力区。其后，冲积河谷、河流沉积、山麓冲积扇和冲积平原形成了较好的潜力区。利用54个喷泉、渡槽和威尔斯井的流量，通过误差矩阵法对模型的精度进行了评价，总体精度为79.63，Kappa系数为0.702，表明模型具有较好的精度。
The purpose of this study is to identify potential areas of groundwater using remote sensing and GIS. Therefore, some of the effective layers were extracted such as geology, fractures and faults, geomorphology, slope, land use and regional drainage density using ETM sensing imagery processes such as producing various feature class codes, edge detection filters, regulated classification and imposing vegetation indices conducted by topographic maps of 1:50,000, geology and DEM. All layers were classified depending on their effectiveness based on the expert opinions, using analytic hierarchy process. They were also weighted in different classes. After modeling in GIS, groundwater's potential of Semnan plains was determined in Iran. The results showed that the existence of fractures and fault in sandstone formations of Shemshak and gunpowder as well as thick limestone of the layer-formation of Lar have led to name these areas as highly well potential areas of groundwater. Then after, alluvial valleys, Stream sediments, foothills alluvial fans and alluvial plains have formed the well potential areas. Using the discharge of the 54 fountains, aqueduct and wells; the accuracy of the map was estimated through an error matrix method with an overall accuracy of 79.63 and Kappa coefficient of 0.702, which implies the good accuracy of this model.