Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression
Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression
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DOI：
10.1016/j.geomorph.2007.06.001
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发表时间：
2008-03-15
期刊：
影响因子：
3.9
通讯作者：
Diaz, M.
中科院分区：
文献类型：
--
作者：
Garcia-Rodriguez, M. J.;Malpica, J. A.;Diaz, M.
这项工作利用地理信息系统和逻辑回归模型，评估了整个萨尔瓦多发生地震引发滑坡的可能性。坡度、海拔、坡向、年平均降水量、岩性、土地利用和地形粗糙度是用于确定单个网格单元内滑坡发生或不发生的因变量的预测变量。结果说明了地形粗糙度和土壤类型作为模型中关键因素的重要性-仅使用这两个变量，分析返回的显著性水平为89.4%。从地理信息系统内的模型获得的结果，然后被用来制作一个相对滑坡的易发性地图。(C)2007 Elsevier B. V.保留所有权利。
This work has evaluated the probability of earthquake-triggered landslide occurrence in the whole of El Salvador, with a Geographic Information System (GIS) and a logistic regression model. Slope gradient, elevation, aspect, mean annual precipitation, lithology, land use, and terrain roughness are the predictor variables used to deter-mine the dependent variable of occurrence or non-occurrence of landslides within an individual grid cell. The results illustrate the importance of terrain roughness and soil type as key factors within the model - using only these two variables the analysis returned a significance level of 89.4%. The results obtained from the model within the GIS were then used to produce a map of relative landslide susceptibility. (C) 2007 Elsevier B.V. All rights reserved.