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Extracting Anomalous Pre-earthquake Signatures from Swarm Satellite Data Using EOF and PC Analysis

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Book cover Knowledge Science, Engineering and Management (KSEM 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12816))

Abstract

The goal of this work is to utilize the General Empirical Orthogonal Function (EOF) and Principal Component Analysis (PCA) to detect potential earthquake pre-cursory variations in Earth’s ionosphere-lithosphere geomagnetic system and observe their spatial-temporal signatures along seismotectonic fault lines. Two major earthquake episodes in China have been selected for this study: an M6.0 earthquake, which occurred on 19th January 2020 at ENE of Arzak, and another M6.3 earthquake, occurring on 22nd July 2020 in western Xizang. The spatial-temporal variability patterns in an ~ 800 km radius of earthquake epicentres were calculated from geomagnetic data recorded by SWARM satellites A, B and C. The results of EOF spatial components and associated time-series principal components (PCs) revealed anomalous patterns along and on borders of the local tectonic fault lines and around earthquake epicentres. The Planetary A and K geomagnetic storm indices did not show abnormal activities around the same time periods. This could suggest a pre-cursory connection between the detected geomagnetic anomalies and these earthquakes.

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Acknowledgment

This work is partially supported by the project of “Seismic Deformation Monitoring and Electromagnetism Anomaly Detection by Big Satellite Data Analytics with Parallel Computing” (ID: 59308) under the Dragon 5 program, a largest cooperation between European Space Agency and Ministry of Science and Technology of China.

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Authors and Affiliations

  1. School of Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Belfast, UK

    Maja Pavlovic, Yaxin Bi & Peter Nicholl

Authors
  1. Maja Pavlovic
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  2. Yaxin Bi
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  3. Peter Nicholl
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Corresponding author

Correspondence to Yaxin Bi .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Han Qiu

  2. Ibaraki University, Hitachi, Japan

    Cheng Zhang

  3. University of Kentucky, Lexington, KY, USA

    Zongming Fei

  4. Texas A&M University – Commerce, Commerce, TX, USA

    Meikang Qiu

  5. Princeton University, Princeton, NJ, USA

    Sun-Yuan Kung

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Pavlovic, M., Bi, Y., Nicholl, P. (2021). Extracting Anomalous Pre-earthquake Signatures from Swarm Satellite Data Using EOF and PC Analysis. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, SY. (eds) Knowledge Science, Engineering and Management . KSEM 2021. Lecture Notes in Computer Science(), vol 12816. Springer, Cham. https://doi.org/10.1007/978-3-030-82147-0_32

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  • DOI: https://doi.org/10.1007/978-3-030-82147-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82146-3

  • Online ISBN: 978-3-030-82147-0

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