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地震 ›› 2013, Vol. 33 ›› Issue (2): 52-62.

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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

何萍1,2,3, 丁原章1   

  1. 1.广东省地震局, 广东 广州 510070;
    2.中国地震局地震监测与防灾技术重点实验室, 广东 广州 510070;
    3.广东省地震预警与重大工程安全诊断重点实验室, 广东 广州 510070
  • 收稿日期:2013-01-05 出版日期:2013-04-30 发布日期:2020-09-27
  • 作者简介:何萍(1978-), 女,广东兴宁人, 高级工程师, 主要从事地震灾害及地震应急研究。
  • 基金资助:
    香港屯门地区地震小区划评估项目资助

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

HE Ping1,2,3, DING Yuan-zhang1   

  1. 1. Earthquake Administration of Guangdong, Guangzhou 510070 China;
    2. Key Laboratory of Earthquake Monitoring and Disaster Mitigation Technology, CEA, Guangzhou 510070, China;
    3. Key Laboratory of Earthquake Early Warning and Safety Diagnosis of Major Project of Guangdong Province, Guangzhou 510070, China
  • Received:2013-01-05 Online:2013-04-30 Published:2020-09-27

摘要: 本文根据前人的研究成果以及对自1300年以来地震滑坡震例研究的基础上, 选取了岩性、 断裂距离、 地震烈度、 地形坡度、 高程、 水系等6个因子作为地震诱发滑坡的影响因子, 并确定出各个因子在地震滑坡事件中的影响权重。 通过GIS技术将滑坡确定性系数CF与回归模型相融合, 建立CF值多元回归模型, 以解决滑坡评价过程中影响因子的选择及量化的问题。 最后, 将模型应用于香港屯门地区, 进行了该区的地震滑坡空间分布及稳定性初步分析。

关键词: 地震滑坡, 确定性系数CF, 多元回归模型, GIS

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

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