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Susceptibility assessment of shallow landslides in Hulu Kelang area, Kuala Lumpur, Malaysia using analytical hierarchy process and frequency ratio

机译:应用层次分析法和频率比分析马来西亚吉隆坡葫芦克朗地区浅层滑坡敏感性

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摘要

Hulu Kelang is known as one of the most landslide susceptible areas in Malaysia. From 1990 to 2011, a total of 28 landslide events had been reported in this area. This paper compares two models as Analytical Hierarchy Process (AHP) and probability–frequency ratio (FR) methods for recognizing landslide susceptibility regions in the Hulu Kelang area. Eleven landslide influencing factors were considered to form the probability–FR and AHP matrix, i.e. lithology-weathering, land cover, curvature, slope inclination, slope aspect, drainage density, elevation, distance to lake and stream, distance to road and trenches, the Stream Power Index and the Topographic Wetness Index. The accuracy of the maps produced from the two models were verified using a receiver operating characteristics. The verification results indicated that the probability–FR model based on probabilistic analysis of spatial distribution of historical landslide events was capable of producing a more reliable landslide susceptibility map in this study area compared to AHP model. About 89 % of the landslide locations have been predicted accurately by using the FR map.
机译:Hulu Kelang被称为马来西亚最易发生滑坡的地区之一。从1990年到2011年,该地区共发生了28次滑坡事件。本文比较了两种模型,即层次分析法(AHP)和概率频率比(FR)方法,用于识别葫芦克朗地区的滑坡易感性区域。考虑了11个滑坡影响因素以形成概率– FR和AHP矩阵,即岩性,风化,土地覆盖,曲率,坡度,坡度,排水密度,高程,距湖泊和河流的距离,距道路和沟渠的距离,流功率指数和地形湿度指数。使用接收器的工作特性验证了由两个模型生成的地图的准确性。验证结果表明,与AHP模型相比,基于历史滑坡事件空间分布概率分析的概率FR模型能够在该研究区域中生成更可靠的滑坡敏感性图。使用FR映射可以准确预测约89%的滑坡位置。

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