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Real-time prediction of earthquake potential damage:A case study for the January 8,2022 MS 6.9 Menyuan earthquake in Qinghai,China

Jindong Song Jingbao Zhu Yongxiang Wei Shuilong Li Shanyou Li

地震研究进展(英文)2023,Vol.3Issue(1):52-60,9.
地震研究进展(英文)2023,Vol.3Issue(1):52-60,9.

Real-time prediction of earthquake potential damage:A case study for the January 8,2022 MS 6.9 Menyuan earthquake in Qinghai,China

Real-time prediction of earthquake potential damage:A case study for the January 8,2022 MS 6.9 Menyuan earthquake in Qinghai,China

Jindong Song 1Jingbao Zhu 2Yongxiang Wei 1Shuilong Li 2Shanyou Li3

作者信息

  • 1. Key Laboratory of Earthquake Engineering and Engineering Vibration,Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,China
  • 2. Key Laboratory of Earthquake Disaster Mitigation,Ministry of Emergency Management,Harbin 150080,China
  • 3. Fujian Earthquake Agency,Fuzhou 350003,China
  • 折叠

摘要

关键词

Earthquake early warning/Potential damage/Machine learning/2022 MS6.9 Menyuan earthquake/Magnitude estimation/On-site peak ground velocity prediction

Key words

Earthquake early warning/Potential damage/Machine learning/2022 MS6.9 Menyuan earthquake/Magnitude estimation/On-site peak ground velocity prediction

引用本文复制引用

Jindong Song,Jingbao Zhu,Yongxiang Wei,Shuilong Li,Shanyou Li..Real-time prediction of earthquake potential damage:A case study for the January 8,2022 MS 6.9 Menyuan earthquake in Qinghai,China[J].地震研究进展(英文),2023,3(1):52-60,9.

基金项目

Thank Prof.Zhigang Peng for the Language editing of our manuscript.Meanwhile,thank the editor and anonymous reviewers for their constructive comments,which are very helpful in improving our manu-script.This research was financially supported by the National Natural Science Foundation of China(U2039209,U1839208,and 51408564),the Natural Science Foundation of Heilongjiang Province(LH2021E119),Spark Program of Earthquake Science(XH23027YB),the National Key Research and Development Program of China(2018YFC1504003).We thank the China Earthquake Networks Center for providing us with the data on the earthquake event.We gratefully acknowledge the availability of the GMT software(Wessel and Smith,1998),which was used to plot the figures.We thank the U.S.Geological Survey(USGS)for providing us with PGV ShakeMap(https://earthquake.usgs.gov/earthquakes/eventpa ge/us7000g9zq/shakemap/intensity). (U2039209,U1839208,and 51408564)

地震研究进展(英文)

OACSCD

2096-9996

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