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基于信息量-Scoops3D联合模型的地质灾害易发性评价

余文秀 李秀珍 郑玲静 孔纪名 邵其其 熊华勇 谢成

防灾减灾工程学报2024,Vol.44Issue(3):649-659,11.
防灾减灾工程学报2024,Vol.44Issue(3):649-659,11.DOI:10.13409/j.cnki.jdpme.20230303003

基于信息量-Scoops3D联合模型的地质灾害易发性评价

Evaluation of the Susceptibility to Geological Hazards Based on the Information-Scoops3D Joint Model

余文秀 1李秀珍 2郑玲静 2孔纪名 2邵其其 3熊华勇 3谢成3

作者信息

  • 1. 中国科学院水利部成都山地灾害与环境研究所,四川成都 610041||武汉市汉阳市政建设集团有限公司,湖北武汉 430050
  • 2. 中国科学院水利部成都山地灾害与环境研究所,四川成都 610041
  • 3. 国家石油天然气管网集团有限公司华南分公司,广东广州 510623
  • 折叠

摘要

Abstract

The terrain along the Guizhou-Chongqing Pipeline is rugged,the geological structure is ac-tive,and the rainfall is concentrated,leading to the development of geological hazards such as land-slides and debris flows..Scientific assessment of the susceptibility to geological hazards along the pipe-line is crucial for ensuring operational safety.Based on the investigation of the natural geological envi-ronment and disaster distribution along the pipeline,this study divided the pipeline route into 101 eval-uation units.These units were determined by considering the terrain,geological characteristics,spa-tial relationship between the pipeline and the slopes.The susceptibility to geological hazards along the pipeline was evaluated using an information value statistical model and the Scoops3D physical mechan-ics model.The results indicated high-risk areas of geological disasters were concentrated in the vicinity of Zunyi and Tongzi counties.Among the evaluated sections,7 were in extremely high-risk areas,26 in high-risk areas,20 in medium-risk areas,30 in low-risk areas,and 18 in the very low-risk areas.The AUC values of the information model,the Scoops3D model and their combined model,deter-mined using ROC curves,were 0.796,0.683 and 0.803,respectively,indicating that the information-Scoops3D joint model had the highest evaluation accuracy.

关键词

贵渝管道/地质灾害/信息量-Scoops3D联合模型/易发性评价

Key words

Guizhou-Chongqing pipeline/geological hazard/information-Scoops3D joint model/susceptibility evaluation

分类

天文与地球科学

引用本文复制引用

余文秀,李秀珍,郑玲静,孔纪名,邵其其,熊华勇,谢成..基于信息量-Scoops3D联合模型的地质灾害易发性评价[J].防灾减灾工程学报,2024,44(3):649-659,11.

基金项目

国家重点研发计划项目(2022YFC3004401)、国家石油天然气管网集团华南分公司委托项目(GWHT20210014429)资助 (2022YFC3004401)

防灾减灾工程学报

OA北大核心CSTPCD

1672-2132

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