李宗超,
吕红山,
高孟潭
中国地震局地球物理研究所, 北京 100081
基金项目: 国家重点研发计划(2017YFC1500405), 中国地震局地震应急青年重点任务(CEA_EDEM-201816), 中国地震局地球物理研究所基本科研业务费专项(DQJB17C07, DQJB17T04)联合资助
详细信息
作者简介: 李昌珑, 男, 1989年生, 副研究员, 从事地震危险性和地震风险研究.E-mail:changlongli@163.com
中图分类号: P315 收稿日期:2018-06-13
修回日期:2018-10-08
上线日期:2019-01-05
Seismic disaster loss risk assessment for southeastern Tibet based on 3D image pattern recognition
LI ChangLong,LI ZongChao,
Lü HongShan,
GAO MengTan
Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
MSC: P315
--> Received Date: 13 June 2018
Revised Date: 08 October 2018
Available Online: 05 January 2019
摘要
摘要:本文在对西藏东南部各县的建筑类型、数量、易损性调查的基础上, 对不同类型的建筑建立了模式类向量, 使用三维图像模式识别技术估计了各类型建筑在西藏东南部各县市的数量分布, 建立了不同建筑物的结构易损性和人口易损性模型, 并且估算了西藏东南部各县在遭遇一次设定地震时的损失分布和基于危险性的未来50年可能的损失分布情况.本文研究表明, 若曲松-桑日发生7.5级地震, 可能造成拉萨、山南两市较重的人员伤亡, 其中曲松县和乃东区伤亡最重.西藏东南部未来50年建筑地震风险最高的地区是拉萨市区、林芝市区和错那县, 其中拉萨市区的建筑财产损失风险最高.
关键词: 模式识别/
地震风险/
地震危险性/
建筑类型/
结构易损性
Abstract:This paper investigated the numbers, types, and vulnerability of the buildings in Southeastern Tibet and built pattern classes for difference types of buildings.Then we assessed the distribution of each type of buildings in every town based on 3D image pattern recognition, and made an event-based and a 50-year hazard-based seismic risk assessment for the towns in Southeastern Tibet.Our study indicated that if an M7.5 earthquake happened in Qusong-Sangri, it may cause serious casualties in Lhasa and Shannan area.The town of Qusong and Naidong may have the most casualties.Areas with the highest seismic risk are urban areas of Lhasa and Nyingchi and Cuona Town, and urban Lhasa has the highest seismic risk of building structural economic losses.
Key words:Pattern recognition/
Seismic risk/
Seismic hazard/
Building classification/
Structural vulnerability
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http://www.geophy.cn/data/article/export-pdf?id=dqwlxb_14849
