[1]罗路广,裴向军,谷虎,等.基于GIS的“8.8”九寨沟地震景区地质灾害风险评价[J].自然灾害学报,2020,29(03):193-202.[doi:10.13577/j.jnd.2020.0321]
 LUO Luguang,PEI Xiangjun,GU Hu,et al.Risk assessment of geohazards induced by “8.8” earthquake based on GIS in Jiuzhaigou scenic area[J].,2020,29(03):193-202.[doi:10.13577/j.jnd.2020.0321]
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基于GIS的“8.8”九寨沟地震景区地质灾害风险评价
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
29
期数:
2020年03期
页码:
193-202
栏目:
出版日期:
2020-06-28

文章信息/Info

Title:
Risk assessment of geohazards induced by “8.8” earthquake based on GIS in Jiuzhaigou scenic area
作者:
罗路广 裴向军 谷虎 何宇航 梁靖
成都理工大学 地质灾害防治与地质环境保护国家重点实验室, 四川 成都 610059
Author(s):
LUO Luguang PEI Xiangjun GU Hu HE Yuhang LIANG Jing
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
关键词:
九寨沟景区地质灾害“8.8”地震风险评价GIS
Keywords:
Jiuzhaigou scenic areageohazards“8.8” earthquakerisk assessmentGIS
分类号:
TU4X43X9
DOI:
10.13577/j.jnd.2020.0321
摘要:
风险评价是防灾减灾的重要非工程手段,针对九寨沟景区在2017年8月8日Ms 7.0级地震后地质灾害加剧的问题,在GIS环境下进行地质灾害风险及治理工程效益评价研究。本文选取了构造因子、地形因子、地质因子及其它因子等9个指标建立危险性评价模型,易损性选取人口、道路、建筑物、旅游基础设施、景观、防治工程等6个承灾因子,分别采用信息量模型和层次分析法进行地质灾害危险性和易损性评价。结果表明,研究区划分为极低风险区(41.36%)、低风险区(40.52%)、中度风险区(16.02%)、高风险区(1.84%)和极高风险区(0.27%),高-极高风险区总面积为13.79 km2,其中村寨、诺日朗及熊猫海周边均为地质灾害极高风险区,建议设为重点防治区域;现有防治条件下高-极高风险区面积减少了26.73%,防治效益良好,该结果可以为景区恢复重建和区域规划提供参考。
Abstract:
Risk assessment is an important non-engineering method to prevent and reduce geohazards. The geohazards in Jiuzhaigou scenic area intensified after the Ms 7.0 earthquake happened on August 8th, 2017, thus the risk assessment of geohazards and engineering effect evaluation based on GIS was carried out. Nine conditioning factors including tectonic factors, topographic factors, geological factors and other factors are selected to establish the hazard assessment model, and six factors including population, road, building, tourism infrastructure, landscape, prevention engineering are selected by using information method and analytic hierarchy process respectively to conduct hazard and vulnerability evaluation. The risk is divided into extremely low, low, moderate, high and extremely high, accounting for 41.36%, 40.52%, 16.02%, 1.84% and 0.27% of study area. High-extremely high risk areas distributed around villages, Nuorilang and Panda Lake cover 13.79 km2, so it is suggested to be set as a key remediation area. Besides, the area of high to extremely high risk decrease by 26.73% with engineering compared to the result without engineering, showing the effect of prevention engineering is obviously effective. The results offer a reference of reconstruction and regional planning to scenic area.

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备注/Memo

备注/Memo:
收稿日期:2019-05-26;改回日期:2019-06-24。
基金项目:国家重点研发计划(2017YFC1501002)
作者简介:罗路广(1992-),男,博士研究生,主要从事地质灾评价与预测研究.E-mail:luolgcdut@163.com
通讯作者:裴向军(1970-),男,教授,博士,主要从事地质灾害、工程边坡稳定性评价的科研与教学工作.E-mail:peixj0119@tom.com
更新日期/Last Update: 1900-01-01