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DOI10.1007/s11069-020-04452-4
Susceptibility assessment for rainfall-induced landslides using a revised logistic regression method
Xing X.; Wu C.; Li J.; Li X.; Zhang L.; He R.
发表日期2021
ISSN0921030X
起始页码97
结束页码117
卷号106期号:1
英文摘要Landslide susceptibility is the likelihood of a landslide occurring in an area. The logistic regression (LR) method is one of the most popular methods for landslide susceptibility assessment. For rainfall-induced landslides, yearly or monthly rainfall is commonly used to establish a landslide susceptibility model by the LR method. It is a static susceptibility model, which limits the application to predict future landslide probability under potential rainfall event. This study presents a revised logistic regression method to achieve dynamic landslide susceptibility prediction under cumulative daily rainfall. Five kinds of cumulative daily rainfall are used in the landslide susceptibility assessment. The latest landslide events are used to update the landslide susceptibility model. The receiver operation characteristic curve and area under curve are utilized to evaluate the prediction reliability. The landslide susceptibility assessment in Shenzhen is taken as an illustration of the proposed method. The result indicates the method is capable to achieve a high accuracy of 91.9% when the landslide susceptibility model is updated using seven extreme rainfall events in the past 10 years. This method provides an advance prediction of the potential geo-hazards for a large area using the future rainfall forecast. © 2021, Springer Nature B.V.
关键词Landslide susceptibilityLogistic regression methodNatural disasterRainfall-induced landslide
英文关键词assessment method; hazard assessment; induced response; landslide; precipitation intensity; prediction; probability; regression analysis; China; Guangdong; Shenzhen
语种英语
来源期刊Natural Hazards
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/206676
作者单位Department of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen University Town, Xili, Shenzhen 518055, China; School of Civil Engineering, Sun Yat-Sen University, Guangzhou, 510275, China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong
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GB/T 7714
Xing X.,Wu C.,Li J.,et al. Susceptibility assessment for rainfall-induced landslides using a revised logistic regression method[J],2021,106(1).
APA Xing X.,Wu C.,Li J.,Li X.,Zhang L.,&He R..(2021).Susceptibility assessment for rainfall-induced landslides using a revised logistic regression method.Natural Hazards,106(1).
MLA Xing X.,et al."Susceptibility assessment for rainfall-induced landslides using a revised logistic regression method".Natural Hazards 106.1(2021).
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