Land Surface Processes Group (LSPG) & Glaciology and Climate Change Group (GCCG), Remote Sensing Lab. Department of Earth Sciences, University of Kashmir, Hazratbal, Srinagar, Kashmir, 190006, India.
Environ Monit Assess. 2014 Dec;186(12):8391-412. doi: 10.1007/s10661-014-4012-2. Epub 2014 Aug 27.
Complex mountainous environments such as Himalayas are highly susceptibility to natural hazards particular those that are triggered by the action of water such as floods, soil erosion, mass movements and siltation of the hydro-electric power dams. Among all the natural hazards, soil erosion is the most implicit and the devastating hazard affecting the life and property of the millions of people living in these regions. Hence to review and devise strategies to reduce the adverse impacts of soil erosion is of utmost importance to the planners of watershed management programs in these regions. This paper demonstrates the use of satellite based remote sensing data coupled with the observational field data in a multi-criteria analytical (MCA) framework to estimate the soil erosion susceptibility of the sub-watersheds of the Rembiara basin falling in the western Himalaya, using geographical information system (GIS). In this paper, watershed morphometry and land cover are used as an inputs to the MCA framework to prioritize the sub-watersheds of this basin on the basis of their different susceptibilities to soil erosion. Methodology included the derivation of a set of drainage and land cover parameters that act as the indicators of erosion susceptibility. Further the output from the MCA resulted in the categorization of the sub-watersheds into low, medium, high and very high erosion susceptibility classes. A detailed prioritization map for the susceptible sub-watersheds based on the combined role of land cover and morphometry is finally presented. Besides, maps identifying the susceptible sub-watersheds based on morphometry and land cover only are also presented. The results of this study are part of the watershed management program in the study area and are directed to instigate appropriate measures to alleviate the soil erosion in the study area.
喜马拉雅山等复杂的山区环境极易受到自然灾害的影响，特别是那些由水的作用引发的灾害，如洪水、土壤侵蚀、山体滑坡和水力发电大坝的泥沙淤积。在所有的自然灾害中，土壤侵蚀是最隐蔽和最具破坏性的灾害，影响着生活在这些地区的数百万人的生命和财产。因此，审查和制定策略以减少土壤侵蚀的不利影响，对这些地区的流域管理计划的规划者来说至关重要。本文演示了如何在多标准分析（MCA）框架中使用基于卫星的遥感数据结合观测现场数据，利用地理信息系统（GIS）来估算位于喜马拉雅山西部的 Rembiara 流域的子流域的土壤侵蚀敏感性。在本文中，流域形态和土地覆盖被用作 MCA 框架的输入，以根据不同的土壤侵蚀敏感性对该流域的子流域进行优先级排序。方法包括推导出一组排水和土地覆盖参数，这些参数是侵蚀敏感性的指标。进一步，MCA 的输出结果将子流域分为低、中、高和极高侵蚀敏感性等级。最后根据土地覆盖和形态的综合作用，为易受影响的子流域提供了详细的优先级排序图。此外，还提供了仅基于形态和土地覆盖的易受影响的子流域的地图。本研究的结果是该研究区域流域管理计划的一部分，旨在采取适当措施减轻该研究区域的土壤侵蚀。
