|本期目录/Table of Contents|

[1]李东平,陈海鹏,张 凯,等.基于社会视频监控信息源的地震影响范围快速勾画*[J].地震研究,2019,42(02):187-194.
 LI Dongping,CHEN Haipeng,ZHANG Kai,et al.Seismic Influence Field Mapping Based on Social Video Surveillance Information Source[J].Journal of Seismological Research,2019,42(02):187-194.
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基于社会视频监控信息源的地震影响范围快速勾画*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
42
期数:
2019年02期
页码:
187-194
栏目:
出版日期:
2019-07-17

文章信息/Info

Title:
Seismic Influence Field Mapping Based on Social Video Surveillance Information Source
作者:
李东平陈海鹏张 凯刘倩倩
(浙江省地震局,浙江 杭州 310013)
Author(s):
LI DongpingCHEN HaipengZHANG KaiLIU Qianqian
(Zhejiang Earthquake Agency,Hangzhou 310013,Zhejiang,China)
关键词:
地震影响场 视频监控 地震应急 场景深度估算
Keywords:
seismic influence field video surveillance earthquake emergency scene depth estimation
分类号:
P315.941
DOI:
-
摘要:
广泛分布于城乡各地的社会视频监控是震后获取地震灾情的重要数据源。基于地震视频灾情判读系统,对基于视频运动估计方法的主要技术原理和分析处理过程进行改进,并将其应用于2017年浙江临安4.2级地震影响场快速评估中。结果表明:利用该改进方法在震后4 h内得到了基于社会监控的烈度分布,计算得到的最高烈度与现场实际调查相同,等震线优势方向与现场工作结果一致,V度面积和现场工作结果接近。
Abstract:
Social video surveillance widely distributed in urban and rural areas,is an important data source for post-earthquake disaster acquisition. Based on seismic video disaster interpretation system,we improved the main technical principle and analysis processing process of video motion estimation method,and applied it to the rapid evaluation of seismic influence field of Lin'an M4.2 earthquake in Zhejiang. The results show that the intensity distribution based on social monitoring is obtained within 4 hours after the earthquake by using the improved method. The maximum calculated intensity is the same as that in the field investigation. The dominant direction of isoseismal line is consistent with that of field work,and the area of V degree is close to that of field work.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-03-14
基金项目:浙江省科技计划项目重点研发计划(2018C03045).

更新日期/Last Update: 2019-07-17