Landslide susceptibility analysis based on the coupling model of logistic regression and support vector machine
The occurrence of landslide disasters is progressive,and evaluating the susceptibility of landslides is a prerequisite for disaster prevention and reduction.The Wangcang County,Sichuan Province is taken as an example and the frequency ratio method is used to determine the landslide sensitivity of 12 landslide impact factors in each grading interval.Through the band set statistics,11 landslide impact factors are determined as landslide susceptibility evaluation factors.By establishing a logistic regression support vector machine(LR-SVM)coupling model,a landslide susceptibility evaluation system is established,completing the evaluation of landslide susceptibility in Wangcang County and comparing model accuracy.The results show that the evaluation index results of the LR-SVM coupling model are better than those of the logistic regression model,and the susceptibility zoning results are more reasonable and the prediction accuracy is higher.Selecting non-landslide points in low risk areas has a significant effect on improving the evaluation performance of landslide susceptibility.The sensitivity of roads,elevations,and NDVI in the study area to landslide development is strong.High risk areas are mainly distributed in low altitude water systems and on both sides of roads.
landslide susceptibility assessmentlogistic regressionsupport vector machinecoupled modelWangcang County
NETL
NSTL
万方数据
维普
