|本期目录/Table of Contents|

[1]曹彦波,李永强,张方浩,等.基于多源数据的2021年云南漾濞MS6.4地震极灾区判定方法[J].地震研究,2021,44(03):472-480.
 CAO Yanbo,LI Yongqiang,ZHANG Fanghao,et al.Determination of the Worst-hit Zone in the 2021 Yangbi,Yunnan MS6.4 Earthquake-stricken Area Based on Multi-source Data[J].Journal of Seismological Research,2021,44(03):472-480.
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基于多源数据的2021年云南漾濞MS6.4地震极灾区判定方法(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
44
期数:
2021年03期
页码:
472-480
栏目:
出版日期:
2021-10-20

文章信息/Info

Title:
Determination of the Worst-hit Zone in the 2021 Yangbi,Yunnan MS6.4 Earthquake-stricken Area Based on Multi-source Data
作者:
曹彦波李永强张方浩蒋飞蕊
(云南省地震局,云南 昆明 650224)
Author(s):
CAO YanboLI YongqiangZHANG FanghaoJIANG Feirui
(Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)
关键词:
漾濞MS6.4地震 多源数据 极灾区
Keywords:
the Yangbi MS6.4 earthquake multi-source data the worst-hit zone
分类号:
P315.9
DOI:
-
摘要:
破坏性地震发生后,对地震极灾区的快速判定有利于政府各部门实施精准化的搜救和物资保障。以2021年漾濞MS6.4地震为例,对依据烈度衰减模型、仪器烈度、余震序列、铁塔断电站点数据等方法判定的极灾区进行多源数据融合,快速判定漾濞地震极灾区大小及空间分布范围。结果表明:基于多源数据融合的极灾区判定方法除了考虑地震本身物理参数外,还融合了铁塔通信基站破坏状况,拟合得出的极灾区大小、方向、质心坐标等空间分布与实际灾害调查绘制结果基本一致,可为地震救援决策提供基础数据支撑。
Abstract:
The rapid estimation of the worst-hit zone of the earthquake-afflicted area of a destructive earthquake will facilitate the governments' precise search and rescue and allocation of relief supplies.In this paper,we integrate the multi-source data of the worst-hit zone in the Yangbi MS6.4 earthquake-stricken area estimated according to the intensity attenuation model,the instrumental intensity,the aftershocks sequence,and the power-outage data of transmission towers,and rapidly determine the area and spatial distribution of the worst-hit zone of the Yangbi earthquake.Our method of multi-source data fusion integrates the physical parameters of the earthquake with the data of the power-outage transmission towers,and gives the area,distribution direction,and the coordinates of the center of the worst-hit zone.These results are in good agreement with the worst-hit zone decided by field investigation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-06-30
基金项目:国家重点研发计划项目(2018YFC1504504)资助.

更新日期/Last Update: 2021-10-20