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Mapping of Groundwater Potential Zone Based on Remote Sensing and GIS Techniques: A Case Study of Kalmykia, Russia
Optical Memory and Neural Networks ( IF 1.0 ) Pub Date : 2019-05-08 , DOI: 10.3103/s1060992x1901003x
M. S. Boori , K. Choudhary , A. Kupriyanov

Abstract

Around one-third of the world’s population drinks water from groundwater resources. Of this, about 10 percent, approximately 300 million people, obtains water from groundwater resources. This study identify and mapping of groundwater potential zone for growing population, irrigation and industrial development, combining with remote sensing (RS), geographical information system (GIS) and field data for hydrological research in Kalmykia, Russia. Various thematic layers (i.e. land use/cove, soil, geomorphology, lithology, elevation, slope, rainfall, normalized difference vegetation index (NDVI), drainage density, lineament density, degraded land, forest, relief, vegetation, surface water body, land use, agriculture, flow accumulation, flow direction and base map) wear used along with existing maps to prepare groundwater potential zone (GWPZ) map. Weights were assigned to all above factors according to their effectiveness, sensitivity and relevance to ground water potentiality. Furthermore the resulting GWPZ map has been classified into five classes, named very high, high, moderate, low and very low based on hydro-geomorphological condition, covering 0.93, 11.65, 35.45, 43.20 and 8.77% area respectively. The results show that most part of areas with favorable lithology, soil texture, vegetation, slope, optimum rainfall condition has a high potential for groundwater. The results provide significant information and can be use by local authorities for groundwater exploitation and management.


中文翻译:

基于遥感和GIS技术的地下水潜力区图绘制-以俄罗斯卡尔梅克为例

摘要

世界上约有三分之一的人口从地下水资源中饮用水。其中约10亿,约3亿人从地下水资源中获取水。这项研究结合遥感(RS),地理信息系统(GIS)和现场数据,为俄罗斯卡尔梅克的水文研究确定并绘制了用于人口增长,灌溉和工业发展的地下水潜在区。各种主题层(即土地使用/海湾,土壤,地貌,岩性,高程,坡度,降雨,归一化植被指数(NDVI),排水密度,线密度,退化土地,森林,地势,植被,地表水体,土地使用,农业,流量累积,流向和底图)磨损与现有地图一起使用,以准备地下水潜力区(GWPZ)地图。权重根据其有效性,敏感性和与地下水潜力的相关性分配给所有上述因素。此外,根据水文地貌条件将得到的GWPZ图分为高,高,中,低和极低五类,分别覆盖0.93、11.65、35.45、43.20和8.77%面积。结果表明,大部分具有良好岩性,土壤质地,植被,坡度,最佳降雨条件的地区具有很高的地下水潜力。结果提供了重要的信息,可供地方当局用于地下水开发和管理。根据水文地貌条件将其命名为极高,极高,中等,极低和极低,分别覆盖0.93、11.65、35.45、43.20和8.77%的面积。结果表明,大部分具有良好岩性,土壤质地,植被,坡度,最佳降雨条件的地区具有很高的地下水潜力。结果提供了重要的信息,可供地方当局用于地下水开发和管理。根据水文地貌条件将其命名为极高,极高,中等,极低和极低,分别覆盖0.93、11.65、35.45、43.20和8.77%的面积。结果表明,大部分具有良好岩性,土壤质地,植被,坡度,最佳降雨条件的地区具有很高的地下水潜力。结果提供了重要的信息,可供地方当局用于地下水开发和管理。
更新日期:2019-05-08
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