九寨沟地震滑坡易发性评价因子组合选取研究

doi:10.13722/j.cnki.jrme.2021.0198

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Abstract The regional landslide susceptibility assessment is the basis of landslide hazards and risk assessments. However，how to scientifically select landslide conditioning factors is still a weak part of the previous researches. 1022 identified landslides induced by the Jiuzhaigou earthquake in the Jiuzhaigou National Geopark on August 8，2017 were taken as the sample dataset. A total of 16 landslide causative factors including seismic，topographic，geological，hydrological parameters and human engineering activities were selected. Based on the collinearity test of these continuous conditioning factors，the logistic regression(LR) model was used to generate 30 landslide assessment models by combining different covariates under the slope units，and then the 10-fold cross-validation and receiver operating characteristics(ROC) curve were adopted to assess success rate and prediction accuracy of the models in R statistic software. The results show that the LR model has good applicability in the earthquake-induced landslides(EQILs) susceptibility assessment for the study area，and EQILs are mainly controlled and affected by seismic and topographic parameters. Once hydrological conditions and human engineering activities are excluded out，the performance of the models decreases within a small range. Moreover，compared to the traditional data sampling methods，the cross-validation approach can effectively reduce selection bias and prediction variance，and can better test the robustness of the models. This research may enrich the theoretical research content of EQILs regional assessment and provide references for rapid post-earthquake assessment and disaster prevention and mitigation for the Jiuzhaigou area.

Key words： slope engineering earthquake-induced landslides(EQILs) landslide susceptibility factor combined selection 10-fold cross-validation logistic regression model

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	Articles by authors
	LUO Luguang
	PEI Xiangjun
	CUI Shenghua
	HUANG Runqiu
	ZHU Ling
	HE Zhihao

Cite this article:

LUO Luguang,PEI Xiangjun,CUI Shenghua, et al. Combined selection of susceptibility assessment factors for Jiuzhaigou earthquake-induced landslides[J]. , 2021, 40(11): 2306-2319.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2021.0198 OR https://rockmech.whrsm.ac.cn/EN/Y2021/V40/I11/2306

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