Bulletin of Earthquake Science and Engineering

Bulletin of Earthquake Science and Engineering

Investigation of Space-Based Payloads for studying Earthquake Precursors and Payload Suggestion for a Domestic Satellite

Document Type : Research Article

Authors
1 Assistant Professor, Institute of Electrical Engineering and Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
2 Lecturer, Institute of Mechanical Engineering and Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
3 Assistant Professor, Institute of Geophysics, University of Tehran, Tehran, Iran
Abstract
Satellite observations indicate a correlation between anomalies observed in the ionosphere and stratosphere and the occurrence of earthquakes. These anomalies include changes in electric and magnetic field components, variations in electron density, ions, ionic compositions, and their temperatures in the ionosphere, as well as changes in stratospheric temperature. This article investigates these space-based precursors and the payloads used to measure these anomalies. For each payload, its components, operation method, mass, power budget, and installation considerations are described. Additionally, analysis results of several earthquakes in Iran and recent global earthquakes using data from these payloads have been examined.
The study of these payloads shows that the electric field detector instrument in the ULF range is one of the best for earthquake precursor detection. A double standard deviation index was considered for identifying anomalies in several earthquakes in Iran, and ULF signal amplification was observed during satellite passage over the earthquake epicenters for earthquakes larger than 5.8. Several earthquakes in Iran were also analyzed using data from the TIMED satellite's 10-channel radiometer payload, with a 1.5 standard deviation index considered for identifying anomalies. Examination of average and maximum temperatures over a one-month period showed that anomalies were observable one week before the earthquake occurrence, and for strong earthquakes above magnitude 7, a clear anomaly effect in this parameter was observed 14 to 16 days before the earthquake.
Finally, after various assessments, the electric field detector payload in the ULF range, the search coil magnetometer, the tri-band beacon, and the 10-channel radiometer payload measuring stratospheric temperature were introduced as suitable payloads for earthquake precursor detection in Iran. A native platform was considered, and its subsystems were introduced. Given the mass budget, power, and stabilization and attitude control system of this native satellite, the tri-band beacon was proposed as the final payload for this platform, and its specifications were stated. It is worth noting that the electric field detector payload requires four booms longer than four meters, making it impossible to use on a platform using a gravity gradient boom for stabilization. The search coil magnetometer also requires one boom. In the native platform, due to the gravity gradient boom, using the search coil magnetometer was not possible unless used as a boom tip mass, which is feasible in composite booms but not applicable to this platform. The 10-channel radiometer also required high power and mass, which was not possible given the native platform requirements. Therefore, the tri-band beacon was ultimately specified as the satellite's final payload. This payload transmits three in-phase signals in VHF, UHF, and L-band. These signals undergo Faraday rotation and group delay while passing through the ionosphere. On Earth, these signals are received by a chain of receivers, their phase differences are processed, and based on that, a vertical profile or two-dimensional image of ionospheric electron density can be extracted. The use of the satellite’s store and forward capacity for transferring data from new ground-based seismological stations was also proposed.
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Cao, J., Shen, X., Zhang, T., Zeren, Z., Huang, J., Li, Z., ... & Li, L. (2018). The electromagnetic wave experiment for CSES mission: Search coil magnetometer. Science China Technological Sciences, 61(5), 653-658.
Chen, L., Wang, Y., Zhao, S., Wang, Q., Huang, J., Zhang, Z., ... & Cao, J. (2018). Preliminary observation results of the Coherent Beacon System onboard the China Seismo-Electromagnetic Satellite-1. Earth and Planetary Physics, 2(6), 505-514.
Fraser‐Smith, A. C., Bernardi, A., McGill, P. R., Ladd, M. E., Helliwell, R. A., & Villard, O. G., Jr. (1990). Low‐frequency magnetic field measurements near the epicenter of the Ms 7.1 Loma Prieta earthquake. Geophysical Research Letters, 17(9), 1465-1468.
Hayakawa, M. (2007). Monitoring of ULF (ultra-low-frequency) geomagnetic variations associated with earthquakes. Sensors, 7(7), 1108-1122.
Hayakawa, M. (2010). Current status of seismo-electromagnetics for short-term earthquake prediction. Geomatics, Natural Hazards and Risk, 1(2), 115-155.
Huang, J., Lei, J., Li, S., Zeren, Z., Li, C., Zhu, X., & Yu, W. (2018). The Electric Field Detector (EFD) onboard the ZH-1 satellite and first observational results. Earth and Planetary Physics, 2(6), 469-478.
Inan, U. S., & Bell, T. F. (1985). Spectral broadening of VLF transmitter signals observed on DE 1: A quasi-electrostatic phenomenon? Journal of Geophysical Research: Space Physics, 90, 1771-1775.
Kopytenko, Y. A., Matiashvili, T. G., Voronov, P. M., Kopytenko, E. A., Molchanov, O. A., & Hayakawa, M. (1993). Detection of ultra-low-frequency emissions connected with the Spitak earthquake and its aftershock activity, based on geomagnetic pulsations data at Dusheti and Vardzia observatories. Physics of the Earth and Planetary Interiors, 77(1–2), 85-95.
Mahmoudian, A., Safari, M., & Rezapour, M. (2022a). Earthquake prediction assessment using VLF radio signal sounding and space-based ULF emission observation. Acta Geophysica, 70, 1269-1284.
Mahmoudian, A., Fallahrad M., & Montahaei M. (2022b). Study of VLF radio sounding for the Ionospheric remote sensing. Iranian Journal of Geophysics, 15, 139-152.
Moayeri-Manesh, F. Mahmoudian, A., & Rahimi, H. (2024). Detection of the Pre-seismic anomalies in stratospheric temperature and radio emission using space-based observations. Advances in Space Research, 73(10), 5114-5133.
Molchanov, O., Rozhnoi, A., Solovieva, M., Akentieva, O., Berthelier, J. J., Parrot, M., & Hayakawa, M. (2006). Global diagnostics of the ionospheric perturbations related to the seismic activity using the VLF radio signals collected on the DEMETER satellite. Natural Hazards and Earth System Sciences, 6(5),     745-753.
Pulinets, S. A., Legen’ka, A. D., & Alekseev, V. A. (1994). Pre-earthquake ionospheric effects and their possible mechanisms. In H. Kikuchi (Ed.), Dusty and dirty plasmas, noise, and chaos in space and in the laboratory, 545-557, Springer. https://doi.org/10.1007/ 978-1-4615-1829-7_46
Pulinets, S. A., & Boyarchuk, K. A. (2004). Ionospheric Precursors of Earthquakes. Berlin, Springer, 315 p.
Pulinets, S., Ouzounov, D., Karelin, A., Boyarchuk, K., & Pokhmelnykh, L. (2006). The physical nature of thermal anomalies observed before strong earthquakes. Physics and Chemistry of the Earth, 31(4-9), 143-153.
Pulinets, S., & Ouzounov, D. (2011). Lithosphere-atmosphere-ionosphere coupling (LAIC) model-A unified concept for earthquake precursor validation. Journal of Asian Earth Sciences, 41, 371-382.
Pulinets, S., & Ouzounov, D. (2018). The Possibility of Earthquake Forecasting: Learning from Nature. Amsterdam: Elsevier.
Remsberg, E. E., Marshall, B. T., Garcia-Comas, M., Krueger, D., Lingenfelser, G. S., Martin-Torres, F. J., Mlynczak, M. G., Russell, J. M., Smith, A. K., & Zhao, Y. (2008). Assessment of the quality of the Version 1.07 temperature-versus-pressure profiles of the middle atmosphere from TIMED/SABER. Journal of Geophysical Research: Atmospheres, 113(D17), D17101.
Rozhnoi, A., Solovieva, M., Molchanov, O., Akentieva, O., Berthelier, J. J., Parrot, M., & Hayakawa, M. (2008). Statistical correlation of spectral broadening in VLF transmitter signal and low-frequency ionospheric turbulence from observation on DEMETER satellite. Natural Hazards and Earth System Sciences, 8(6), 1105-1111.
Rozhnoi, A., Solovieva, M., Parrot, M., Hayakawa, M., Biagi, P. F., & Schwingenschuh, K. (2012). Ionospheric turbulence from ground-based and satellite VLF/LF transmitter signal observations for the Simushir earthquake (November 15, 2006). Annals of Geophysics, 55(1), 83-91.
Shen, X. H., Zong, Q.-G., & Zhang, X. M. (2018a). Introduction to special section on the China Seismo-Electromagnetic Satellite and initial results. Earth and Planetary Physics, 2(6), 439-443.
Shen, X. H. (2018b). The state-of-the-art of the China Seismo-Electromagnetic Satellite mission. Science China Technological Sciences61, 634-642.
Surkov, V. V., & Hayakawa, M. (2014). Ultra and Extremely Low Frequency Electromagnetic Fields. Tokyo: Springer.
Wang, Q., Cao, J. B., Fu, H. S., Dunlop, M., Zhou, G. C., & Wang, Z. Q. (2018). China Seismo‐Electromagnetic Satellite search coil magnetometer data and initial results. Earth and Planetary Physics, 2(6), 462–468.
Yang, B.-Y., Li, Z., Huang, J.-P., Yang, X.-M., Yin, H.-C., Li, Z.-Y., Lu, H.-X., Li, W.-J., Shen, X.-H., & Zeren, Z. (2023). EMD based statistical analysis of nighttime pre-earthquake ULF electric field disturbances observed by CSES. Frontiers in Astronomy and Space Sciences, 9, Article 1077592.
Yang, S.-S., Asano, T., & Hayakawa, M. (2019). Abnormal gravity wave activity in the stratosphere prior to the 2016 Kumamoto earthquakes. Journal of Geophysical Research: Space Physics, 124(2), 1410-1425.
Yang, S.-S., & Hayakawa, M. (2020). Gravity wave activity in the stratosphere before the 2011 Tohoku earthquake as the mechanism of lithosphere-atmosphere-ionosphere coupling. Entropy, 22(1), 110.
Yang, D., Zhima, Z., Wang, Q., Huang, J., Wang, X., Zhang, Z., Zhao, S., Guo, F., Cheng, W., Lu, H., ... & Cao, J. (2022). Stability validation on the VLF waveform data of the China Seismo-Electromagnetic Satellite. Earth and Planetary Physics, 6(5), 455-464.
Zhima, Z., Zhou, B., Zhao, S., Wang, Q., Huang, J., Zeng, L., Lei, J., Chen, Y., Li, C., Yang, D., ... & Cao, J. (2022). Cross-calibration on the electromagnetic field detection payloads of the China Seismo-Electromagnetic Satellite. Science China Technological Sciences, 65(6), 1415-1426.

  • Receive Date 05 March 2025
  • Revise Date 18 July 2025
  • Accept Date 20 July 2025