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The Ionospheric Perturbations Prior to Three MS≥6.0 Earthquakes in Western China from 2020 to 2022
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Yufan GUO1, Jiang LIU2, *, Xiaohui DU3
Journal of Geodesy and Geodynamics | 2025, 45(8) : 851 - 857
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Journal of Geodesy and Geodynamics | 2025, 45(8): 851-857
The Ionospheric Perturbations Prior to Three MS≥6.0 Earthquakes in Western China from 2020 to 2022
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Yufan GUO1, Jiang LIU2, *, Xiaohui DU3
Affiliations
  • 1 Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(Jiangxi Earthquake Agency), 6929 Changdong Road, Nanchang 330023, China
  • 2 Sichuan Earthquake Agency, 29 Section 3 of South-Renmin Road, Chengdu 610041, China
  • 3 School of Electronic Information, Wuhan University, 299 Bayi Road, Wuhan 430072, China
  • GUO Yufan, engineer, majors in earthquake monitoring and forecast, E-mail:

About Author:

GUO Yufan, engineer, majors in earthquake monitoring and forecast, E-mail:

Published: 2025-08-15 doi: 10.14075/j.jgg.2024.08.400
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Based on TEC data obtained from the CODE and electron density(Ne) data acquired by the CSES, the seismo-ionospheric perturbations prior to three MS≥6.0 earthquakes in western China from 2020 to 2022(that is the 2020 Jiashi MS6.4 earthquake, the 2021 Yangbi MS6.4 earthquake and the 2022 Maerkang MS6.0 earthquake) were analyzed. The ionospheric anomalies were found to be concentrated in 1 week before the earthquakes. The synchronization anomalies of CODE TEC and CSES Ne occurred 5 and 2 days before the Jiashi MS6.4 earthquake, 7 days before the Yangbi MS6.4 earthquake and 6 days before the Maerkang MS6.0 earthquake. In addition, it is possible that these three strong earthquakes may affect the ionosphere through the geochemical and electromagnetic channels, as described by the lithosphere-atmosphere-ionosphere coupling(LAIC) model. There were earthquake precursor anomalies such as geochemical anomalies, water level and electromagnetic anomalies near the focal area in the 5 to 15 days before the earthquakes.

western China  /  strong earthquakes  /  CODE TEC  /  CSES Ne  /  sphere coupling mechanism
郭雨帆, 刘江, 杜晓辉. 2020—2022年中国西部3次MS≥6.0地震前电离层扰动. 大地测量与地球动力学, 2025 , 45 (8) : 851 -857 . DOI: 10.14075/j.jgg.2024.08.400
Yufan GUO, Jiang LIU, Xiaohui DU. The Ionospheric Perturbations Prior to Three MS≥6.0 Earthquakes in Western China from 2020 to 2022[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (8) : 851 -857 . DOI: 10.14075/j.jgg.2024.08.400
  • The Spark Program of Earthquake Technology of CEA(XH24023YA)
  • Special Fund for Basic Scientific Research of Institute of Earthquake Forecasting, CEA(CEAIEF20230401)
  • Open Fund of Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(SDGD202211)
  • Open Fund of Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(SDGD202219)
Year 2025 volume 45 Issue 8
35
15
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Article Info
doi: 10.14075/j.jgg.2024.08.400
  • Receive Date:2024-08-20
  • Online Date:2026-10-29
  • Published:2025-08-15
Article Data
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History
  • Received:2024-08-20
Funding
The Spark Program of Earthquake Technology of CEA(XH24023YA)
Special Fund for Basic Scientific Research of Institute of Earthquake Forecasting, CEA(CEAIEF20230401)
Open Fund of Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(SDGD202211)
Open Fund of Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(SDGD202219)
Affiliations
    1 Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(Jiangxi Earthquake Agency), 6929 Changdong Road, Nanchang 330023, China
    2 Sichuan Earthquake Agency, 29 Section 3 of South-Renmin Road, Chengdu 610041, China
    3 School of Electronic Information, Wuhan University, 299 Bayi Road, Wuhan 430072, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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