中南大学学报(自然科学版)2012,Vol.43Issue(5):1932-1939,8.
权重线性组合与逻辑回归模型在滑坡易发性区划中的应用与比较
Application and comparison of weighted linear combination model and logistic regression model in landslide susceptibility mapping
摘要
Abstract
Taking Guizhou Province as an example, the landslide susceptibility mapping was assessed, and a comprehensive comparison of the two approaches was conducted. The procedures are as follows. Firstly, a total of ten landslide triggering factors including average annual precipitation, lithology, elevation, aspect, topography, slope, proximity to structural lines, proximity to drainage network, proximity to railways and proximity to roads were considered. The weighted linear combination (WLC) model and logistic regression (LR) model were applied to investigate the correlation between the presence or absence of landslides and the set of triggering factors, and then the prediction models were produced respectively. Secondly, two landslide susceptibility maps were produced in ArcGIS environment The zonation results derived from the two models were verified using the past failures and compared using the entropy method. At last, the two models were compared and discussed in terms of their principles, operating environments and applicable conditions. The results show that the entropy for WLC and LR model are 0.255 and 0.745, respectively, indicating that the LR model has better performance than the WLC model.关键词
滑坡易发性区划/GIS/权重线性组合/逻辑回归/贵州省Key words
landslide susceptibility mapping/ GIS/ weighted linear combination/ logistic regression/ Guizhou Province分类
天文与地球科学引用本文复制引用
王进,郭靖,王卫东,方理刚..权重线性组合与逻辑回归模型在滑坡易发性区划中的应用与比较[J].中南大学学报(自然科学版),2012,43(5):1932-1939,8.基金项目
中央高校基本科研业务费专项资金资助项目(2010DXPY016) (2010DXPY016)