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首页> 外文期刊>International Journal of Geomatics and Geosciences >A GIS and frequency ratio based landslide susceptibility mapping: Aghnashini river catchment, Uttara Kannada, India
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A GIS and frequency ratio based landslide susceptibility mapping: Aghnashini river catchment, Uttara Kannada, India

机译:基于GIS和频率比的滑坡敏感性图:印度阿联酋阿格纳什尼河集水区

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Landslides are encountered during the monsoon season in the undulating terrains of the Western Ghats, resulting in significant damage to life and property. Here landslide susceptible regions are modelled in the Aghnashini river catchment of Uttara Kannada district of Karnataka, India, using the frequency ratio method. Factors that influence landslides like slope, aspect, distance from roads and lineament, soil depth, soil type, and Land use and land cover, were extracted from the spatial database. Using the factors and detected landslide based on the field work, the relationships were calculated using frequency ratio, one of the probabilistic model of frequency ratio model. The computed index for each grid for each factor was summed and grouped into five classes. The susceptibility in the region with Argillit, clayey-skeletal, slope greater than 45, slope facing Southwest having grassland showed highest susceptibility. The landslide-susceptibility map can be used to reduce damage associated with landslides and to land cover planning.
机译:在西高止山脉的起伏地形中,在季风季节遇到滑坡,对生命和财产造成重大破坏。在这里,使用频率比法对印度卡纳塔克邦Uttara Kannada区的Aghnashini河集水区进行了模拟。从空间数据库中提取了影响滑坡的因素,例如坡度,坡向,距道路和线路的距离,土壤深度,土壤类型以及土地利用和土地覆盖。在现场工作的基础上,利用这些因素和滑坡的检测,利用频率比(一种频率比模型的概率模型之一)来计算关系。将每个因素的每个网格的计算索引相加并分为五类。阿尔吉利特,黏土骨架,坡度大于45,西南面向草场的斜坡的敏感性最高。滑坡敏感性图可用于减少与滑坡有关的破坏并用于土地覆盖计划。

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