首页|期刊导航|地震学报（英文版）|Quantifying of spatio-temporal variations in the regional gravity field and the effectiveness of earthquake prediction:A case study of MS≥5.0 earthquakes in the Sichuan-Yunnan region during 2021-2024

Quantifying of spatio-temporal variations in the regional gravity field and the effectiveness of earthquake prediction:A case study of MS≥5.0 earthquakes in the Sichuan-Yunnan region during 2021-2024

Weimin Xu Linhai Wang Honglei Li Dong Liu Shi Chen Yongbo Li Jiangpei Huang Bing Zheng Yufei Han Zhaohui Chen Qiuyue Zheng Hongyan Lu

地震学报（英文版）2025，Vol.38Issue(4)：375-390,16.

地震学报（英文版）2025，Vol.38Issue(4)：375-390,16.DOI:10.1016/j.eqs.2025.03.006

Quantifying of spatio-temporal variations in the regional gravity field and the effectiveness of earthquake prediction:A case study of MS≥5.0 earthquakes in the Sichuan-Yunnan region during 2021-2024

Weimin Xu ¹Linhai Wang ¹Honglei Li ¹Dong Liu ²Shi Chen ¹Yongbo Li ¹Jiangpei Huang ²Bing Zheng ³Yufei Han ⁴Zhaohui Chen ⁵Qiuyue Zheng ²Hongyan Lu¹

作者信息

1. Institute of Geophysics,China Earthquake Administration,Beijing 100081,China||Beijing Baijiatuan Earth Science National Observation and Research Station,Beijing 100095,China
2. Yunnan Earthquake Agency,Kunming 650051,China
3. Crustal Deformation Monitoring Center of Sichuan Earthquake Agency,Ya'an 625000,China
4. China Earthquake Networks Center,Beijing 100045,China
5. The First Monitoring and Application Center,China Earthquake Administration,Tianjin 300180,China
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摘要

关键词

gravity variation/sichuan-yunnan region/molchan diagram method/earthquake precursor/prediction efficacy

Key words

gravity variation/sichuan-yunnan region/molchan diagram method/earthquake precursor/prediction efficacy

引用本文复制引用

Weimin Xu,Linhai Wang,Honglei Li,Dong Liu,Shi Chen,Yongbo Li,Jiangpei Huang,Bing Zheng,Yufei Han,Zhaohui Chen,Qiuyue Zheng,Hongyan Lu..Quantifying of spatio-temporal variations in the regional gravity field and the effectiveness of earthquake prediction:A case study of MS≥5.0 earthquakes in the Sichuan-Yunnan region during 2021-2024[J].地震学报（英文版）,2025,38(4):375-390,16.

基金项目

This research was funded by the National Key R&D Program of China(Nos.2023YFE0101800 and 2023YFC 3007305),National Natural Science Foundation of China(Nos.42004069 and 42204093),and Special Fund of the Institute of Geophysics,China Earthquake Administration(No.DQJB24X24).The data was supplied by China Earth-quake Networks Center,National Earthquake Data Center.(http://data.earthquake.cn). （Nos.2023YFE0101800 and 2023YFC 3007305）

地震学报（英文版）

ISSN：1000-9116

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