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首页> 外文期刊>Advances in space research >Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India
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Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India

机译：基于层次分析法（AHP）的印度大吉岭喜玛拉雅东部利什河流域滑坡敏感性图

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摘要

Landslide is one of the most destructive natural hazards of Darjeeling Himalaya. In the present study, analytical hierarchy process (AHP) has been applied to develop landslide susceptibility map of the Lish river basin of Eastern Darjiling Himalaya based on geospatial tools. A total of 188 landslide location points of very small to large polygon coverage were identified with the help of GPS study, SOI (Survey of India) topo-sheets and Digital Globe Quick Bird image to prepare a landslide inventory map. 70% training data sets of the landslide inventory was applied for training analytical hierarchy process (AHP) model and remaining 30% data sets were used for validation of the landslide susceptibility map. ERDAS IMAGINE, ASTER GDEM image, Arc GIS and PCI Geomatica software, topographical map, Landsat TM and 8 OLI satellite image, google earth image, soil map (NBSS and LUP Regional Centre), geomorphology and lithology (NATMO and GSI) were used and processed to prepare seventeen causative factors i.e. slope angle, slope aspect, slope curvature, altitude, relative relief, geomorphology, geology, distance to lineaments, lineament density, soil, LAND USE & land cover, NDVI, drainage density, distance o drainage, stream power index, topographic wetness index, and rainfall. Factor weights and class weights of all the data layers were derived using AHP and then weighted data layers were integrated to generate the landslide susceptibility map. To validate the result, success rate curve was made with the help of landslide susceptibility and cumulative percentage of landslide occurrence which showed the accuracy level of 89.72%. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译：滑坡是大吉岭喜马拉雅山最具破坏力的自然灾害之一。在本研究中，基于地理空间工具，应用层次分析法（AHP）绘制了东大吉岭喜马拉雅Lish河盆地的滑坡敏感性图。借助GPS研究，SOI（印度调查）地形图和Digital Globe Quick Bird图像，共确定了188个大小范围非常大的滑坡位置点，以准备滑坡清单。滑坡清单的70％训练数据集用于训练层次分析模型（AHP）模型，其余30％的数据集用于滑坡敏感性图的验证。使用了ERDAS IMAGINE，ASTER GDEM图像，Arc GIS和PCI Geomatica软件，地形图，Landsat TM和8 OLI卫星图像，谷歌地球图像，土壤图（NBSS和LUP区域中心），地貌和岩性（NATMO和GSI），并且处理以准备十七个因果关系，即坡度角，坡度，坡度曲率，海拔，相对地势，地貌，地质，距线的距离，线密度，土壤，土地利用和土地覆盖，NDVI，排水密度，排水距离，溪流功率指数，地形湿度指数和降雨。使用层次分析法推导所有数据层的因子权重和类别权重，然后对加权数据层进行积分以生成滑坡敏感性图。为了验证结果，在滑坡敏感性和滑坡发生累积百分比的帮助下绘制了成功率曲线，其准确度为89.72％。 （C）2018年COSPAR。由Elsevier Ltd.出版。保留所有权利。

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