气候变化领域集成服务门户(CCPortal): Application of a Hybrid Model in Landslide Susceptibility Evaluation of the Western Tibet Plateau

CCPortal

DOI	10.3390/app14020485
	Application of a Hybrid Model in Landslide Susceptibility Evaluation of the Western Tibet Plateau
	Yang, Yongpeng; Guo, Ya; Chen, Hao; Tang, Hao; Li, Meng; Sun, Ang; Bian, Yu
发表日期	2024
EISSN	2076-3417
卷号	14 期号:2
英文摘要	The evaluation of landslide susceptibility plays a crucial role in preventing the risks associated with landslides and debris flows, providing valuable insights for the effective prevention and mitigation of geological hazards. However, there is limited research on high-altitude areas. Therefore, this study chose the western Tibetan Plateau as the study area, a representative area known for its susceptibility to landslides and high attitudes. In this study, seven factors were identified based on research objectives. Information value (IVM), weight of evidence (WOE), information value logistic regression (IVM-LR), weight of evidence logistic regression (WOE-LR), information value multi-layer perceptron (IVM-MLP) and weight of evidence multi-layer perceptron (WOE-MLP) were selected and compared for landslide susceptibility. The percentage of disaster area included in each risk level, the AUC value and the ROC curve were used to evaluate the accuracy of the results. The ROC curves of the results were close to the upper-left corner and the AUC values exceeded 0.85, an indication that all results were highly accurate. Moreover, the percentage of disaster area included for each risk showed an upward trend regarding susceptibility. The results indicated that the hybrid model exhibited superior performance in assessing landslide susceptibility at high altitudes. Overall, the results showed great significance regarding disaster prevention and mitigation measures of local governments.
关键词	information model weight of evidence logistic regression multi-layer perceptron landslide susceptibility
英文关键词	ARTIFICIAL NEURAL-NETWORK; ANALYTICAL HIERARCHY PROCESS; EVIDENTIAL BELIEF FUNCTION; 3 GORGES RESERVOIR; LOGISTIC-REGRESSION; FREQUENCY RATIO; SPATIAL PREDICTION; STATISTICAL INDEX; HAZARD ASSESSMENT; CERTAINTY FACTOR
WOS研究方向	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:001149250600001
来源期刊	APPLIED SCIENCES-BASEL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283433
推荐引用方式 GB/T 7714	Yang, Yongpeng,Guo, Ya,Chen, Hao,et al. Application of a Hybrid Model in Landslide Susceptibility Evaluation of the Western Tibet Plateau[J],2024,14(2).
APA	Yang, Yongpeng.,Guo, Ya.,Chen, Hao.,Tang, Hao.,Li, Meng.,...&Bian, Yu.(2024).Application of a Hybrid Model in Landslide Susceptibility Evaluation of the Western Tibet Plateau.APPLIED SCIENCES-BASEL,14(2).
MLA	Yang, Yongpeng,et al."Application of a Hybrid Model in Landslide Susceptibility Evaluation of the Western Tibet Plateau".APPLIED SCIENCES-BASEL 14.2(2024).