期刊
WATER
卷 13, 期 22, 页码 -出版社
MDPI
DOI: 10.3390/w13223312
关键词
landslide susceptibility; RF model; DBN model; SVM model; effective rainfall model; spatiotemporal LSA
资金
- High-Speed Railway Infrastructure Joint Fund of the National Natural Science Foundation of China [U1734208]
- National Natural Science Foundation of China [51478483]
This study proposed a spatiotemporal landslide susceptibility assessment method considering the effect of rainfall inducement. By comparing and verifying different models, the optimal assessment result was obtained to predict rainfall-induced landslide areas and prevent landslide risks.
Landslide represents an increasing menace causing huge casualties and economic losses, and rainfall is a predominant factor inducing landslides. Landslide susceptibility assessment (LSA) is a commonly used and effective method to prevent landslide risk, however, the LSA does not analyze the impact of the rainfall on landslides which is significant and non-negligible. Therefore, the spatiotemporal LSA considering the inducing effect of rainfall is proposed to improve accuracy and applicability. In this study, the influencing factors are selected using the chi-square test, out-of-bag error and multicollinearity test. The spatial LSA are thus obtained using the random forest (RF) model, deep belief networks model and support vector machine, and compared using receiver operating characteristic curve and seed cell area index to determine the optimal assessment result. According to the heavy rainfall characteristics in the study area, the rainfall period is divided into four stages, and the effective rainfall model is employed to generate the rainfall impact (RI) maps of the four stages. The spatiotemporal LSAs are obtained by coupling the optimal spatial LSA and various RI maps and verified using the landslide warning map. The results demonstrate that the optimal spatiotemporal LSA is obtained using the spatial LSA of the RF model and temporal LSA of the rainfall data in the peak stage. It can predict the area where rainfall-induced landslides are likely to occur and prevent landslide risk.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据