基于滑坡分类和加权频率比模型的滑坡易发性评价

doi:10.13722/j.cnki.jrme.2018.0838

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Abstract According to the regional landslide features，an evaluation index system developed based on the characteristics among different types of landslides，can make landslide susceptibility evaluation more scientific and accurate. Taking Wanzhou district of Three Gorges Reservoir as an example，the regional landslides were divided into steeply inclined strata landslides and gently inclined strata landslides based on geological situation，landslide spatial distribution and characteristics. Twelve index factors including elevation difference，slope angle，aspect，plane and profile curvatures，stratum lithology，water distribution，geological structure，highway，stratum dip，rainfall and weak interlayer containing montmorillonite were obtained to build the basic evaluation system，and a weighted frequency ratio model(WFR) was proposed to perform regional landslide susceptibility evaluation based on the logistic regression(LR)-fuzzy analytical hierarchy process(FAHP) method(LR-FAHP). A susceptibility evaluation index system for different kinds of landslides was built up by sorting the importance of all index factors and calculating their weights，and susceptibility level prediction of regional landslides was performed based on GIS platform. The results indicates that，compared with LR，FAHP and FR models，WFR model can promote the evaluation accuracy by 4%‐9%，proving that the LR-FAHP method is a good method for calculating the weight of evaluation index factors. It is also shown that the success rate and the prediction rate of susceptibility evaluation by WFR model with landslide classification reach 79.2% and 79.6% respectively，which are respectively better than those by WFR model without landslide classification. The model can provide a reliable approach for building up evaluation index system and regional landslide susceptibility.

Key words： slope engineering landslide susceptibility evaluation index system logistic regression fuzzy analytical hierarchy process weighted frequency ratio geographic information system(GIS)

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	Articles by authors
	GUO Zizheng1
	YIN Kunlong1
	HUANG Faming2
	FU Sheng3
	ZHANG Wen4

Cite this article:

GUO Zizheng1,YIN Kunlong1,HUANG Faming2, et al. Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model#br#[J]. , 2019, 38(2): 287-300.

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http://www.rockmech.org/EN/10.13722/j.cnki.jrme.2018.0838 OR http://www.rockmech.org/EN/Y2019/V38/I2/287

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