An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas
An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas
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DOI：
10.1007/s10346-004-0039-8
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发表时间：
2005-02
期刊：
影响因子：
6.7
通讯作者：
A. Saha;R. Gupta;I. Sarkar;M. Arora;E. Csaplovics
中科院分区：
文献类型：
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作者：
A. Saha;R. Gupta;I. Sarkar;M. Arora;E. Csaplovics
滑坡易感区划(LSZ)是山区灾害管理和规划开发活动的重要组成部分。许多方法，即。滑坡分布、定性、统计和无分布分析已被用于LSZ研究，这里再次对它们进行简要回顾。本文应用基于双变量统计分析的信息值(InfoVal)和滑坡名义易感系数(LNSF)两种方法对喜马拉雅部分地区进行了LSZ制图。利用遥感和地理信息系统技术，制作了代表与滑坡活动有关的各种因素(例如，坡度、坡向、相对地貌、岩性、冲断带缓冲区、断层和地貌、排水密度和地貌)的相关专题地图。将LNSF方法得到的LSZ图与InfoVal方法得到的LSZ图进行了比较，结果表明LNSF方法得到的LSZ图更符合地形的非均质性。
Landslide susceptibility zonation (LSZ) is necessary for disaster management and planning development activities in mountainous regions. A number of methods, viz. landslide distribution, qualitative, statistical and distribution-free analyses have been used for the LSZ studies and they are again briefly reviewed here. In this work, two methods, the Information Value (InfoVal) and the Landslide Nominal Susceptibility Factor (LNSF) methods that are based on bivariate statistical analysis have been applied for LSZ mapping in a part of the Himalayas. Relevant thematic maps representing various factors (e.g., slope, aspect, relative relief, lithology, buffer zones along thrusts, faults and lineaments, drainage density and landcover) that are related to landslide activity, have been generated using remote sensing and GIS techniques. The LSZ derived from the LNSF method, has been compared with that produced from the InfoVal method and the result shows a more realistic LSZ map from the LNSF method which appears to conform to the heterogeneity of the terrain.