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Improving the Accuracy of Regional Engineering Disturbance Disaster Susceptibility by Optimizing Weight Calculation Methods-A Case Study in the Himalayan Area, China

文献类型：期刊论文

作者Song, Yewei1,2,3; Guo, Jie1,3; Ma, Fengshan1,3; Liu, Jia1,2,3; Li, Guang1,3
刊名SUSTAINABILITY
出版日期2023-07-01
卷号15期号:13页码:20
关键词Tibetan Plateau engineering disturbance disaster susceptibility prediction information model logistic regression principal component analysis
DOI10.3390/su151310669
英文摘要The information value method is widely used in predicting the susceptibility of geological disasters. However, most susceptibility evaluation models assume that the weight of each influencing factor is equal, which is inconsistent with the actual situation. Therefore, this paper studies the optimization effect of weight calculation method on the information value model. Engineering disturbance disasters are developing in the Himalayan alpine valley in southeastern Tibet. First of all, this paper takes this as the research object and builds a database of engineering disturbance disasters in southeast Tibet through long-term on-site investigation. Then, the relationship between the influencing factors such as slope, aspect, relief, elevation, engineering geological rock formation, rainfall, temperature, and seismic peak acceleration and the distribution of engineering disturbance disasters is analyzed. Finally, the principal component analysis method and logistic regression method are employed to calculate the weight coefficients. Moreover, the susceptibility of engineering disturbance disasters is predicted using the information value model (IV-Only), as well as two weighted information value models (PCA-IV and LR-IV). In addition, the accuracy of these three susceptibility evaluation models is assessed based on two evaluation indexes. The results show that: compared with the equal weight method and the principal component analysis method, the logistic regression method has the highest accuracy. According to the weight coefficient, the control factors of engineering disturbance disasters in the Himalayan alpine canyon area are determined to be slope, aspect, rainfall, and elevation. The research results provide a reference method for the optimization of susceptibility evaluation model.
WOS关键词LOGISTIC-REGRESSION MODELS ; ARTIFICIAL NEURAL-NETWORK ; CERTAINTY FACTOR ; FREQUENCY RATIO ; DECISION TREE ; GIS ; LANDSLIDES ; MACHINE
资助项目Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0904] ; National Natural Science Foundation of China[U22A20597]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:001028175100001
资助机构Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; Second Tibetan Plateau Scientific Expedition and Research Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/111307]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Guo, Jie
作者单位1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Song, Yewei,Guo, Jie,Ma, Fengshan,et al. Improving the Accuracy of Regional Engineering Disturbance Disaster Susceptibility by Optimizing Weight Calculation Methods-A Case Study in the Himalayan Area, China[J]. SUSTAINABILITY,2023,15(13):20.
APA Song, Yewei,Guo, Jie,Ma, Fengshan,Liu, Jia,&Li, Guang.(2023).Improving the Accuracy of Regional Engineering Disturbance Disaster Susceptibility by Optimizing Weight Calculation Methods-A Case Study in the Himalayan Area, China.SUSTAINABILITY,15(13),20.
MLA Song, Yewei,et al."Improving the Accuracy of Regional Engineering Disturbance Disaster Susceptibility by Optimizing Weight Calculation Methods-A Case Study in the Himalayan Area, China".SUSTAINABILITY 15.13(2023):20.

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来源：地质与地球物理研究所

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