Volume 45 Issue 2
Mar.  2023
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Zhu K G,He X D,Fan M X,Marchetti D,Wang T,Wen J M,Zhang Y Q. 2023. Time-varying background field and anomaly analysis of Swarm satellite magnetic field data before the 2020 Jamaica MW7.7 earthquake. Acta Seismologica Sinica,45(2):315−327 doi: 10.11939/jass.20210172
Citation: Zhu K G,He X D,Fan M X,Marchetti D,Wang T,Wen J M,Zhang Y Q. 2023. Time-varying background field and anomaly analysis of Swarm satellite magnetic field data before the 2020 Jamaica MW7.7 earthquake. Acta Seismologica Sinica45(2):315−327 doi: 10.11939/jass.20210172

Time-varying background field and anomaly analysis of Swarm satellite magnetic field data before the 2020 Jamaica MW7.7 earthquake

doi: 10.11939/jass.20210172
  • Received Date: 2021-11-15
  • Rev Recd Date: 2022-02-10
  • Available Online: 2023-03-20
  • Publish Date: 2023-03-15
  • The magnetic field data of Swarm satellite are influenced by geomagnetic activity and local time. In this paper, the influence of geomagnetic activity was firstly removed by variational mode decomposition, and then we built a time-varying background field to eliminate the influence of local time on the data. Based on the established time-varying background field, we used the Swarm satellite magnetic field data to conduct a pre-earthquake anomaly analysis of the 2020 Jamaica earthquake. We calculated the amount of energy of the magnetic data inside the earthquake affected area, then compared with the threshold value of the time-varying background field. If the difference between the amount of energy of a track inside the earthquake affected area and the corresponding background value is over the threshold value, the track was considered to be pre-earthquake anomalies. The results show that the cumulative number of anomalous tracks in function of the time shows accelerated growth from 50 days to 43 days before the earthquake. In addition, we also built day-side and night-side background fields to compare with the time-varying background field. By analyzing the differences between the anomalous orbits extracted based on the two methods, we find that the high-value background fields will be pulled down by the low-value background fields, which leads to some nonanomalous orbits being wrongly identified as anomalous orbits. For the same reason, the low-value background fields will be pulled up by the high-value background fields, which leads to some abnormal orbits cannot be recognized. It is because that the day-side and night-side background fields were built by the data of multiple local times magnetic field data, which cannot identify the great variations of magnetic field at different local time. However, the time resolution of time-varying background field is high, so it can highlight the great variations of magnetic field at different local time. As a result, the establishment of time-varying background field is crucial for the accurate detection of anomalous orbits. Further, we analyzed the cumulative number of anomalies in lithosphere, atmosphere and ionosphere, and explained the time correlation of these anomalies, which proved that these anomalies may be related to the seismogeny of the Jamaica earthquake.


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  • [1]
    An Z H,Tan D C,Chen J Y,Fan Y Y,Liu J,Xie T. 2011. Discussion on the analysis method of magnetic field waveform data recorded by the DEMETER satellite[J]. South China Journal of Seismology,31(1):55–65 (in Chinese).
    Chi C Q. 2020. Analysis of Borehole Strain Precursory Observation Data and Research on Anomaly Extraction[D]. Changchun: Jilin University: 81–82 (in Chinese).
    Ding J H, Lu Z Y, Yu S R. 2011. A Brief Treatise on Seismomagnetism[M]. Hefei: University of Science and Technology of China Press: 59–63 (in Chinese).
    Jin W,Zhang X X,Song Y,He F,Li L G,Yu C,Lü J T,Xiao Z N. 2017. Progress of research on the effect of geomagnetic activity on climatic elements[J]. Chinese Journal of Geophysics,60(4):1276–1283 (in Chinese).
    Li K Y. 2020. Pre-Earthquake Anomaly Detection and Statistical Analysis of Swarm Satellite Magnetic Field Data[D]. Changchun: Jilin University: 31–32 (in Chinese).
    Ma J,Guo Y S. 2014. Accelerated synergism prior to fault instability:Evidence from laboratory experiments and an earthquake case[J]. Seismology and Geology,36(3):547–561 (in Chinese).
    Wan J H,Wang F F,Shan X J,Yan X X. 2012. Preliminary application of energetic particle on DEMETER satellite in Wenchuan earthquake[J]. Progress in Geophysics,27(6):2279–2288 (in Chinese).
    Wang C Q,Du D,Zhang X X,Zhao M X,Jiang Y. 2015. New regional geomagnetic activity index based on multi-station observation[J]. Chinese Journal of Space Science,35(1):26–39 (in Chinese).
    Yan X X,Shan X J,Cao J B,Tang J. 2014. Statistical analysis of electron density anomalies before global MW≥7.0 earthquakes (2005−2009) using data of DEMETER satellite[J]. Chinese Journal of Geophysics,57(2):364–376 (in Chinese).
    Yang M P,Huang J P,Zhang X M,Shen X H,Wang L W,Zeren Z M,Qian G,Zhai L N. 2018. Analysis on dynamic background field of ionosphere ELF/VLF electric field in northeast Asia[J]. Progress in Geophysics,33(6):2285–2294 (in Chinese).
    Yang T,Wang X Y,Lü C Y,Yang L,Zhou Z W. 2013. Exploration of earthquake disaster and defense measures at present stage[J]. Industrial &Science Tribune,12(19):51–52 (in Chinese).
    Zeren Z M,Shen X H,Cao J B,Zhang X M,Huang J P,Liu J,Ouyang X Y,Zhao S F. 2012. Statistical analysis of ELF/VLF magnetic field disturbances before major earthquakes[J]. Chinese Journal of Geophysics,55(11):3699–3708 (in Chinese).
    Zhao G Z,Chen X B,Cai J T. 2017. Electromagnetic observation by satellite and earthquake prediction[J]. Progress in Geophysics,22(3):667–673 (in Chinese).
    Zhao Y J,Dou Y M,Zhang M J. 2020. Modal parameter identification based on variational mode decomposition[J]. Journal of Vibration and Shock,39(2):115–122 (in Chinese).
    Akhoondzadeh M,De Santis A D,Marchetti D,Piscini A,Cianchini G. 2018. Multi precursors analysis associated with the powerful Ecuador (MW=7.8) earthquake of 16 April 2016 using Swarm satellites data in conjunction with other multi-platform satellite and ground data[J]. Adv Space Res,61(1):248–263. doi: 10.1016/j.asr.2017.07.014
    Bertello I,Piersanti M,Candidi M,Diego P,Ubertini P. 2018. Electromagnetic field observations by the DEMETER satellite in connection with the 2009 L’Aquila earthquake[J]. Ann Geophys,36(5):1483–1493. doi: 10.5194/angeo-36-1483-2018
    Dobrovolsky I P,Zubkov S I,Miachkin V I. 1979. Estimation of the size of earthquake preparation zones[J]. Pure Appl Geophys,117(5):1025–1044. doi: 10.1007/BF00876083
    Dragomiretskiy K,Zosso D. 2014. Variational mode decomposition[J]. IEEE Trans Signal Process,62(3):531–544. doi: 10.1109/TSP.2013.2288675
    Finlay C C,Kloss C,Olsen N,Hammer M D,Tøffner-Clausen L,Grayver A,Kuvshinov A. 2020. The CHAOS-7 geomagnetic field model and observed changes in the South Atlantic anomaly[J]. Earth Planets Space,72(1):156. doi: 10.1186/s40623-020-01252-9
    Friis-Christensen E,Lühr H,Hulot G. 2006. Swarm:A constellation to study the Earth’s magnetic field[J]. Earth Planets Space,58(4):351–358. doi: 10.1186/BF03351933
    Kanamori H,Anderson D L. 1975. Theoretical basis of some empirical relations in seismology[J]. Bull Seismol Soc Am,65(5):1073–1095.
    Liu J Y,Chen Y I,Pulinets S A,Tsai Y B,Chuo Y J. 2000. Seismo-ionospheric signatures prior to M≥6.0 Taiwan earthquakes[J]. Geophys Res Lett,27(19):3113–3116. doi: 10.1029/2000GL011395
    Marchetti D,Akhoondzadeh M. 2018. Analysis of Swarm satellites data showing seismo-ionospheric anomalies around the time of the strong Mexico (MW=8.2) earthquake of 8 September 2017[J]. Adv Space Res,62(3):614–623. doi: 10.1016/j.asr.2018.04.043
    Marchetti D,De Santis A,D'arcangelo S,Poggio F,Piscini A,Campuzano S A,De Carvalho W V J O. 2019. Pre-earthquake chain processes detected from ground to satellite altitude in preparation of the 2016−2017 seismic sequence in Central Italy[J]. Remote Sens Environ,229:93–99. doi: 10.1016/j.rse.2019.04.033
    Marchetti D,De Santis A,Shen X H,Campuzano S A,Perrone L,Piscini A,Di Giovambattista R,Jin S G,Ippolito A,Cianchini G,Cesaroni C,Sabbagh D,Spogli L,Zeren Z,Huang J P. 2020. Possible lithosphere-atmosphere-ionosphere coupling effects prior to the 2018 MW=7.5 Indonesia earthquake from seismic,atmospheric and ionospheric data[J]. J Asian Earth Sci,188:104097. doi: 10.1016/j.jseaes.2019.104097
    Mignan A,King G C P,Bowman D. 2007. A mathematical formulation of accelerating moment release based on the stress accumulation model[J]. J Geophys Res,112(B7):B07308.
    Molchanov O A,Hayakawa M. 1995. Generation of ULF electromagnetic emissions by microfracturing[J]. Geophys Res Lett,22(22):3091–3094. doi: 10.1029/95GL00781
    Noda H,Nakatani M,Hori T. 2013. Large nucleation before large earthquakes is sometimes skipped due to cascade-up-implications from a rate and state simulation of faults with hierarchical asperities[J]. J Geophys Res Solid Earth,118(6):2924–2952. doi: 10.1002/jgrb.50211
    Ouyang X Y,Parrot M,Bortnik J. 2020. ULF wave activity observed in the nighttime ionosphere above and some hours before strong earthquakes[J]. J Geophys Res:Space Phys,125(9):e2020JA028396.
    Ouzounov D, Pulinets S, Kafatos M C, Taylor P. 2018. Thermal radiation anomalies associated with major earthquakes[G]//Pre-Earthquake Processes: A Multidisciplinary Approach to Earthquake Prediction Studies. Washington D.C.: American Geophysical Union: 259–274.
    Piscini A,Marchetti D,De Santis A. 2019. Multi-parametric climatological analysis associated with global significant volcanic eruptions during 2002−2017[J]. Pure Appl Geophys,176(8):3629–3647. doi: 10.1007/s00024-019-02147-x
    Pulinets S,Ouzounov D. 2011. Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model:An unified concept for earthquake precursors validation[J]. J Asian Earth Sci,41(4/5):371–382.
    USGS. 2020a. Earthquake hazards program[EB/OL]. [2020-01-28]. https://earthquake.usgs.gov/earthquakes/search.
    USGS. 2020b. M7.7: 123 km NNW of Lucea, Jamaica[EB/OL]. [2020-01-28]. https://earthquake.usgs.gov/earthquakes/eventpage/pt20028001/executive.
    Ventura G,Di Giovambattista R. 2013. Fluid pressure,stress field and propagation style of coalescing thrusts from the analysis of the 20 May 2012 ML5.9 Emilia earthquake (Northern Apennines,Italy)[J]. Terra Nova,25(1):72–78. doi: 10.1111/ter.12007
    Zhang X,Shen X,Parrot M,Zeren Z M,Ouyang X H,Liu J,Qian J,Zhao S F,Miao Y. 2012. Phenomena of electrostatic perturbations before strong earthquakes (2005−2010) observed on DEMETER[J]. Nat Hazards Earth Syst Sci,12(1):75–83. doi: 10.5194/nhess-12-75-2012
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