基于CF多元回归模型的地震滑坡危险性研究以香港屯门为例

Abstract

Abstract: According to the previous investigations and study on the more than one hundred earthquake-induced landslides happened from 1303, the factors contributing to landslide occurrences include lithology, seismic intensity, faults, slope angle, slope aspect, elevation , river etc. In this paper we select these factors and then the weights of different factor contributions to landslide are calculated. By integrating landslide certainty factor (CF) and multi-variable regression model,some problems can be solved including the selection and quantification of landslide factors.Earthquake-induced landslide spatial distribution and stability analysis are carried out for Tuen Mun in Hong Kong using the CF multi-variable regression mode 1.

Key words: Earthquake-induced landslide, Certainty factor (CF), Multi-variable Regression Model, GIS

CLC Number:

P315.9

HE Ping, DING Yuan-zhang. Risk Assessment of Earthquake-induced Landslide Based on CF Multi-variable Regression Model A Case Study of Tuen Mun, Hong Kong[J]. EARTHQUAKE, 2013, 33(2): 52-62.

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Risk Assessment of Earthquake-induced Landslide Based on CF Multi-variable Regression Model A Case Study of Tuen Mun, Hong Kong

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