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首页> 外文期刊>Journal of the Geological Society of India >Remote Sensing and GIS Based Groundwater Potential Mapping for Sustainable Water Resource Management of Lidder Catchment in Kashmir Valley, India
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Remote Sensing and GIS Based Groundwater Potential Mapping for Sustainable Water Resource Management of Lidder Catchment in Kashmir Valley, India

机译：基于遥感和GIS的地下水潜力图，用于印度克什米尔谷地集水区可持续水资源管理

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摘要

The valley of Kashmir is blessed with abundant water resources. However, high population growth and concentration of population at favorable locations have resulted in increased demand for water. The problem is further aggravated in Lidder catchment where unplanned tourism development has resulted in deterioration of water quality. Multi-Criteria Evaluation (MCE) approach is adopted using IRS P6 LISS III satellite data 2010, geological map published by Geological Survey of India, toposheets prepared by Survey of India, 1961 and field observation. Seven thematic layers (slope, lineament density, drainage density, soil, geology, geomorphology and land use land cover) are generated in GIS environment and weighted according to their relative relevance to groundwater occurrence. Knowledge-based weights and ranks are normalized, and a weighted linear combination technique is adopted to determine the groundwater potential (GWP). The catchment is divided into five zones of very high, high, medium, low and very low GWP. The results show that 50.22% of the total catchment area, which is uninhabited, has very low GWP. However, the densely populated southern part of the catchment has moderate to very high GWP. The study demonstrates that MCE using remote sensing and GIS technology could be efficiently employed as a very useful tool for the assessment and management of groundwater resources especially in regions where data is poor.
机译：克什米尔山谷拥有丰富的水资源。但是，人口的快速增长和人口集中在有利地区导致对水的需求增加。拉德河流域的问题进一步恶化，旅游业的无计划发展导致水质恶化。采用IRS P6 LISS III卫星数据2010，印度地质调查局发布的地质图，印度调查局1961年制作的地形表和实地观测，采用多标准评估（MCE）方法。在GIS环境中生成了七个主题层（坡度，线密度，排水密度，土壤，地质，地貌和土地利用土地覆盖），并根据它们与地下水发生的相关性进行加权。对基于知识的权重和等级进行归一化，并采用加权线性组合技术确定地下水位（GWP）。流域分为全球升温潜能值很高，很高，中等，低和非常低的五个区域。结果表明，无人居住的总集水面积的50.22％具有很低的全球升温潜能值。但是，人口稠密的流域南部地区的全球升温潜能值中等至很高。研究表明，使用遥感和GIS技术的MCE可以有效地用作评估和管理地下水资源的有用工具，尤其是在数据贫乏地区。

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