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Meteorological Anomalies Based on Ground-Based AMeDAS Data for the 1995 Kobe Earthquake: Critical Natural Time Analysis

DOI: 10.4236/ojer.2025.142006, PP. 67-84

Keywords: Earthquake (EQ) Precursors, AMeDAS Data, Meteorological Parameters, Temperature/Humidity, ACP (Atmospheric Chemical Potential), Statistical Analysis, Critical Analysis, Natural Time (NT) Analysis

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Abstract:

Two meteorological quantities of T/Hum (T: temperature and Hum: relative humidity) and ACP (atmospheric chemical potential) of water molecules based on the “ground-based” AMeDAS (automated meteorological data acquisition system) “open” data of Japan Meteorological Agency have been utilized to explore a possibility of short-term earthquake (EQ) prediction. The target EQ is the famous 1995 Kobe EQ with magnitude of 7.3 on 17 January, 1995. Midnight (LT = 01 h) data of temperature and humidity at a particular station of Kobe, close to the EQ epicenter, have been analyzed, and we have found that there exists only a single and conspicuous peak in both quantities of T/Hum and ACP on the same day of 10 January, 1995 during the short-term EQ prediction window of one month before and two weeks after an EQ. Fortunately, during this short-term EQ prediction period, the geomagnetic and solar activity was extremely quiet, and so we think that the anomaly on this particular day, just one week before the EQ, is very likely to be a precursor to the EQ. Then, in order to find any definite causality relationship of this meteorological anomaly to the EQ, we have performed the critical analysis for the same datasets. We have applied the natural time (NT) analysis method to the daily-valued quantities of ACP and detrended T/Hum, and the NT analysis results revealed criticality in both quantities ~3 weeks before the 1995 Kobe EQ. This implies that the meteorological anomalies as a proxy of the exhalation of radon and charged aerosols from the lithosphere into the atmosphere are at the critical stage ~3 weeks before the EQ and so an anomaly in two meteorological quantities appeared one week before the EQ as a definite precursor to the EQ as suggested by this criticality.

References

[1]  Hayakawa, M. and Molchanov, O.A., Eds. (2002) Seismo Electromagnetics: Litho-Sphere-Atmosphere-Ionosphere Coupling. Terrapub, 477 p.
[2]  Pulinets, S.A. and Boyarchuk, K. (2004) Ionospheric Precursors of Earthquakes. Springer, 315 p.
[3]  Hayakawa, M. (2015) Earthquake Prediction with Radio Techniques. Wiley, 294 p.
https://doi.org/10.1002/9781118770368
[4]  Ouzounov, D., Pulinets, S., Hattori, K. and Taylor, P. (2018) Pre-Earthquake Processes: A Multidisciplinary Approach to Earthquake Prediction Studies. AGU Geophysical Monograph 234, Wiley, 365 p.
[5]  Pulinets, S., Ouzounov, D., Karelin, A. and Boyarchuk, K. (2022) Earthquake Precursors in the Atmosphere and Ionosphere: New Concepts. Springer, 294 p.
[6]  Gorny, V.I., Salman, A.G., Troni, A.A. and Shilin, B.B. (1988) The Earth’s Outgoing IR Radiation as an Indicator of Seismic Activity. Proceedings of the USSR Academy of Sciences, 30, 67-69.
[7]  Qiang, Z.J., Xu, X.D. and Dian, C.G. (1991) Thermal Infrared Anomaly Precursor of Impending Earthquakes. Chinese Science Bulletin, 36, 319-323.
[8]  Tronin, A.A. (1996) Satellite Thermal Survey—A New Tool for the Study of Seismoactive Regions. International Journal of Remote Sensing, 17, 1439-1455.
https://doi.org/10.1080/01431169608948716
[9]  Tronin, A.A., Hayakawa, M. and Molchanov, O.A. (2002) Thermal IR Satellite Data Application for Earthquake Research in Japan and China. Journal of Geodynamics, 33, 519-534.
https://doi.org/10.1016/s0264-3707(02)00013-3
[10]  Dey, S. and Singh, R.P. (2003) Surface Latent Heat Flux as an Earthquake Precursor. Natural Hazards and Earth System Sciences, 3, 749-755.
https://doi.org/10.5194/nhess-3-749-2003
[11]  Ouzounov, D. and Freund, F. (2004) Mid-Infrared Emission Prior to Strong Earthquakes Analyzed by Remote Sensing Data. Advances in Space Research, 33, 268-273.
https://doi.org/10.1016/s0273-1177(03)00486-1
[12]  Surkov, V.V., Pokhotelov, O.A., Parrot, M. and Hayakawa, M. (2006) On the Origin of Stable IR Anomalies Detected by Satellites above Seismo-Active Regions. Physics and Chemistry of the Earth, Parts A/B/C, 31, 164-171.
https://doi.org/10.1016/j.pce.2006.02.020
[13]  Tramutoli, V., Cuomo, V., Filizzola, C., Pergola, N. and Pietrapertosa, C. (2005) Assessing the Potential of Thermal Infrared Satellite Surveys for Monitoring Seismically Active Areas: The Case of Kocaeli (İzmit) Earthquake, August 17, 1999. Remote Sensing of Environment, 96, 409-426.
https://doi.org/10.1016/j.rse.2005.04.006
[14]  Blackett, M., Wooster, M.J. and Malamud, B.D. (2011) Correction to “Exploring Land Surface Temperature Earthquake Precursors: A Focus on the Gujarat (India) Earthquake of 2001”. Geophysical Research Letters, 38, L18307.
https://doi.org/10.1029/2011gl049428
[15]  Shah, M., Khan, M., Ullah, H. and Ali, S. (2018) Thermal Anomalies Prior to the 2015 Gorkha (Nepal) Earthquake from Modis Land Surface Temperature and Outgoing Longwave Radiations. Geodynamics & Tectonophysics, 9, 123-138.
https://doi.org/10.5800/gt-2018-9-1-0341
[16]  Piscini, A., De Santis, A., Marchetti, D. and Cianchini, G. (2017) A Multi-Parametric Climatological Approach to Study the 2016 Amatrice-Norcia (Central Italy) Earthquake Preparatory Phase. Pure and Applied Geophysics, 174, 3673-3688.
https://doi.org/10.1007/s00024-017-1597-8
[17]  Draz, M.U., Shah, M., Jamjareegulgarn, P., Shahzad, R., Hasan, A.M. and Ghamry, N.A. (2023) Deep Machine Learning Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake. Remote Sensing, 15, Article 1904.
https://doi.org/10.3390/rs15071904
[18]  Ghosh, S., Sasmal, S., Maity, S.K., Potirakis, S.M. and Hayakawa, M. (2024) Thermal Anomalies Observed during the Crete Earthquake on 27 September 2021. Geosciences, 14, Article 73.
https://doi.org/10.3390/geosciences14030073
[19]  Ghosh, S., Chowdhury, S., Kundu, S., Sasmal, S., Politis, D.Z., Potirakis, S.M., et al. (2021) Unusual Surface Latent Heat Flux Variations and Their Critical Dynamics Revealed before Strong Earthquakes. Entropy, 24, Article 23.
https://doi.org/10.3390/e24010023
[20]  Ouzounov, D., Liu, D., Chunli, K., Cervone, G., Kafatos, M. and Taylor, P. (2007) Outgoing Long Wave Radiation Variability from IR Satellite Data Prior to Major Earthquakes. Tectonophysics, 431, 211-220.
https://doi.org/10.1016/j.tecto.2006.05.042
[21]  Venkatanathan, N. and Natyaganov, V. (2014) Outgoing Longwave Radiations as Pre-Earthquake Signals: Preliminary Results of 24 September 2013 M7.7 Earthquake. Current Science, 106, 1291-1297.
[22]  Xiong, P., Shen, X.H., Bi, Y.X., Kang, C.L., Chen, L.Z., Jing, F., et al. (2010) Study of Outgoing Longwave Radiation Anomalies Associated with Haiti Earthquake. Natural Hazards and Earth System Sciences, 10, 2169-2178.
https://doi.org/10.5194/nhess-10-2169-2010
[23]  Shah, M., Ehsan, M., Abbas, A., Ahmed, A. and Jamjareegulgarn, P. (2022) Possible Thermal Anomalies Associated with Global Terrestrial Earthquakes during 2000-2019 Based on Modis-LST. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
https://doi.org/10.1109/lgrs.2021.3084930
[24]  Zarchi, A.K.; Maharan, M.R.S. (2020) Fault Distance-Based Approach in Thermal Anomaly Detection before Strong Earthquakes. Natural Hazards and Earth System Sciences, 391.
https://doi.org/10.5194/nhess-2020-391
[25]  Genzano, N., Filizzola, C., Hattori, K., Pergola, N. and Tramutoli, V. (2021) Statistical Correlation Analysis between Thermal Infrared Anomalies Observed from MTSATs and Large Earthquakes Occurred in Japan (2005-2015). Journal of Geophysical Research: Solid Earth, 126, e2020JB020108.
https://doi.org/10.1029/2020jb020108
[26]  Sharma, P., Bardhan, A., Kumari, R., Sharma, D.K. and Sharma, A.K. (2024) Variation of Surface Latent Heat Flux (SLHF) Observed during High-Magnitude Earthquakes. The Journal of Indian Geophysical Union, 28, 131-142.
[27]  De Santis, A., Balasis, G., Pavón-Carrasco, F.J., Cianchini, G. and Mandea, M. (2017) Potential Earthquake Precursory Pattern from Space: The 2015 Nepal Event as Seen by Magnetic Swarm Satellites. Earth and Planetary Science Letters, 461, 119-126.
https://doi.org/10.1016/j.epsl.2016.12.037
[28]  De Santis, A., Cianchini, G., Marchetti, D., Piscini, A., Sabbagh, D., Perrone, L., et al. (2020) A Multiparametric Approach to Study the Preparation Phase of the 2019 M7.1 Ridgecrest (California, United States) Earthquake. Frontiers in Earth Science, 8, Article 540398.
https://doi.org/10.3389/feart.2020.540398
[29]  Akhoondzadeh, M., De Santis, A., Marchetti, D., Piscini, A. and Jin, S. (2019) Anomalous Seismo-LAI Variations Potentially Associated with the 2017 Mw = 7.3 Sarpol-E Zahab (Iran) Earthquake from Swarm Satellites, GPS-TEC and Climatological Data. Advances in Space Research, 64, 143-158.
https://doi.org/10.1016/j.asr.2019.03.020
[30]  Ouzounov, D., Pulinets, S., Davidenko, D., Rozhnoi, A., Solovieva, M., Fedun, V., et al. (2021) Transient Effects in Atmosphere and Ionosphere Preceding the 2015 M7.8 and M7.3 Gorkha-Nepal Earthquakes. Frontiers in Earth Science, 9, Article 757358.
https://doi.org/10.3389/feart.2021.757358
[31]  Parrot, M., Tramutoli, V., Liu, T.J.Y., Pulinets, S., Ouzounov, D., Genzano, N., et al. (2021) Atmospheric and Ionospheric Coupling Phenomena Associated with Large Earthquakes. The European Physical Journal Special Topics, 230, 197-225.
https://doi.org/10.1140/epjst/e2020-000251-3
[32]  Sasmal, S., Chowdhury, S., Kundu, S., Politis, D.Z., Potirakis, S.M., Balasis, G., et al. (2021) Pre-Seismic Irregularities during the 2020 Samos (Greece) Earthquake (M = 6.9) as Investigated from Multi-Parameter Approach by Ground and Space-Based Techniques. Atmosphere, 12, Article 1059.
https://doi.org/10.3390/atmos12081059
[33]  Hayakawa, M., Izutsu, J., Schekotov, A., Yang, S., Solovieva, M. and Budilova, E. (2021) Lithosphere-Atmosphere-Ionosphere Coupling Effects Based on Multiparameter Precursor Observations for February-March 2021 Earthquakes (M~7) in the Offshore of Tohoku Area of Japan. Geosciences, 11, Article 481.
https://doi.org/10.3390/geosciences11110481
[34]  Hayakawa, M., Schekotov, A., Izutsu, J., Yang, S., Solovieva, M. and Hobara, Y. (2022) Multi-Parameter Observations of Seismogenic Phenomena Related to the Tokyo Earthquake (M = 5.9) on 7 October 2021. Geosciences, 12, Article 265.
https://doi.org/10.3390/geosciences12070265
[35]  D’Arcangelo, S., Regi, M., De Santis, A., Perrone, L., Cianchini, G., Soldani, M., et al. (2023) A Multiparametric-Multilayer Comparison of the Preparation Phase of Two Geophysical Events in the Tonga-Kermadec Subduction Zone: The 2019 M7.2 Kermadec Earthquake and 2022 Hunga Ha’apai Eruption. Frontiers in Earth Science, 11, Article 1267411.
https://doi.org/10.3389/feart.2023.1267411
[36]  Zhang, X., Liu, J., De Santis, A., Perrone, L., Xiong, P., Zhang, X., et al. (2023) Lithosphere-Atmosphere-Ionosphere Coupling Associated with Four Yutian Earthquakes in China from GPS TEC and Electromagnetic Observations Onboard Satellites. Journal of Geodynamics, 155, Article 101943.
https://doi.org/10.1016/j.jog.2022.101943
[37]  Marchetti, D., Zhu, K., Piscini, A., Ghamry, E., Shen, X., Yan, R., et al. (2024) Changes in the Lithosphere, Atmosphere, and Ionosphere before and during the Mw = 7.7 Jamaica 2020 Earthquake. Remote Sensing of Environment, 307, Article 114146.
https://doi.org/10.1016/j.rse.2024.114146
[38]  Hayakawa, M. and Hobara, Y. (2024) Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere-Atmosphere-Ionosphere Coupling Channels. Atmosphere, 15, Article 1015.
https://doi.org/10.3390/atmos15081015
[39]  Sasmal, S., Chowdhury, S., Kundu, S., Ghosh, S., Politis, D., Potirakis, S., et al. (2023) Multi-Parametric Study of Seismogenic Anomalies during the 2021 Crete Earthquake (M = 6.0). Annals of Geophysics, 66, SE646.
https://doi.org/10.4401/ag-8992
[40]  Cianchini, G., Calcara, M., De Santis, A., Piscini, A., D’Arcangelo, S., Fidani, C., et al. (2024) The Preparation Phase of the 2023 Kahramanmaraş (Turkey) Major Earthquakes from a Multidisciplinary and Comparative Perspective. Remote Sensing, 16, Article 2766.
https://doi.org/10.3390/rs16152766
[41]  Hayakawa, M., Hirooka, S., Michimoto, K., Potirakis, S.M. and Hobara, Y. (2025) Meteorological Anomalies during Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses. Atmosphere, 16, Article 88.
https://doi.org/10.3390/atmos16010088
[42]  Varotsos, P.A., Sarlis, N.V. and Skordas, E.S. (2011) Natural Time Analysis: The New View of Time, Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series. Springer.
https://doi.org/10.1007/978-3-642-16449-1
[43]  Eftaxias, K., Potirakis, S.M. and Contoyiannis, Y. (2018) Four-Stage Model of Earthquake Generation in Terms of Fracture-Induced Electromagnetic Emissions. In: Chelidze, T., Vallianatos, F. and Telesca, L., Eds., Complexity of Seismic Time Series, Elsevier, 437-502.
https://doi.org/10.1016/b978-0-12-813138-1.00013-4
[44]  Potirakis, S.M., Karadimitrakis, A. and Eftaxias, K. (2013) Natural Time Analysis of Critical Phenomena: The Case of Pre-Fracture Electromagnetic Emissions. Chaos: An Interdisciplinary Journal of Nonlinear Science, 23, Article 023117.
https://doi.org/10.1063/1.4807908
[45]  Potirakis, S., Asano, T. and Hayakawa, M. (2018) Criticality Analysis of the Lower Ionosphere Perturbations Prior to the 2016 Kumamoto (Japan) Earthquakes as Based on VLF Electromagnetic Wave Propagation Data Observed at Multiple Stations. Entropy, 20, Article 199.
https://doi.org/10.3390/e20030199
[46]  Potirakis, S.M., Contoyiannis, Y., Schekotov, A., Eftaxias, K. and Hayakawa, M. (2021) Evidence of Critical Dynamics in Various Electromagnetic Precursors. The European Physical Journal Special Topics, 230, 151-177.
https://doi.org/10.1140/epjst/e2020-000249-x
[47]  Yang, S., Potirakis, S.M., Sasmal, S. and Hayakawa, M. (2020) Natural Time Analysis of Global Navigation Satellite System Surface Deformation: The Case of the 2016 Kumamoto Earthquakes. Entropy, 22, Article 674.
https://doi.org/10.3390/e22060674
[48]  Ghosh, S., Chowdhury, S., Kundu, S., Sasmal, S., Politis, D.Z., Potirakis, S.M., et al. (2021) Unusual Surface Latent Heat Flux Variations and Their Critical Dynamics Revealed before Strong Earthquakes. Entropy, 24, Article 23.
https://doi.org/10.3390/e24010023
[49]  Politis, D.Z., Potirakis, S.M., Contoyiannis, Y.F., Biswas, S., Sasmal, S. and Hayakawa, M. (2021) Statistical and Criticality Analysis of the Lower Ionosphere Prior to the 30 October 2020 Samos (Greece) Earthquake (M6.9), Based on VLF Electromagnetic Propagation Data as Recorded by a New VLF/LF Receiver Installed in Athens (Greece). Entropy, 23, Article 676.
https://doi.org/10.3390/e23060676
[50]  Politis, D.Z., Potirakis, S.M., Kundu, S., Chowdhury, S., Sasmal, S. and Hayakawa, M. (2022) Critical Dynamics in Stratospheric Potential Energy Variations Prior to Significant (M > 6.7) Earthquakes. Symmetry, 14, Article 1939.
https://doi.org/10.3390/sym14091939
[51]  Schekotov, A., Borovleva, K., Pilipenko, V., Chebrov, D. and Hayakawa, M. (2023) Meteorological Response of Kamchatka Seismicity. In: Kosterov, A., Lyskova, E., Mironova, I., Apatenkov, S. and Baranov, S., Eds., Springer Proceedings in Earth and Environmental Sciences, Springer International Publishing, 237-247.
https://doi.org/10.1007/978-3-031-40728-4_17
[52]  Virk, H.S. and Singh, B. (1994) Radon Recording of Uttarkashi Earthquake. Geophysical Research Letters, 21, 737-740.
https://doi.org/10.1029/94gl00310
[53]  Heinicke, J., Koch, U. and Martinelli, G. (1995) CO2 and Radon Measurements in the Vogtland Area (Germany)—A Contribution to Earthquake Prediction Research. Geophysical Research Letters, 22, 771-774.
https://doi.org/10.1029/94gl03074
[54]  Tsunogai, U. and Wakita, H. (1996) Anomalous Changes in Groundwater Chemistry. Possible Precursors of the 1995 Hyogo-Ken Nanbu Earthquake, Japan. Journal of Physics of the Earth, 44, 381-390.
https://doi.org/10.4294/jpe1952.44.381
[55]  Igarashi, G., Saeki, S., Takahata, N., Sumikawa, K., Tasaka, S., Sasaki, Y., et al. (1995) Ground-Water Radon Anomaly before the Kobe Earthquake in Japan. Science, 269, 60-61.
https://doi.org/10.1126/science.269.5220.60
[56]  Yasuoka, Y., Igarashi, G., Ishikawa, T., Tokonami, S. and Shinogi, M. (2006) Evidence of Precursor Phenomena in the Kobe Earthquake Obtained from Atmospheric Radon Concentration. Applied Geochemistry, 21, 1064-1072.
https://doi.org/10.1016/j.apgeochem.2006.02.019
[57]  Varotsos, P.A., Sarlis, N.V. and Skordas, E.S. (2001) Spatio-Temporal Complexity Aspects on the Interrelation between Seismic Electric Signals and Seismicity. Praktika of the Academy of Athens, 76, 294-321.
[58]  Varotsos, P.A., Sarlis, N.V. and Skordas, E.S. (2002) Long-Range Correlations in the Electric Signals That Precede Rupture. Physical Review E, 66, Article 059902.
https://doi.org/10.1103/physreve.66.011902
[59]  Varotsos, P.A., Sarlis, N.V., Tanaka, H.K. and Skordas, E.S. (2005) Similarity of Fluctuations in Correlated Systems: The Case of Seismicity. Physical Review E, 72, Article 041103.
https://doi.org/10.1103/physreve.72.041103
[60]  Abe, S., Sarlis, N.V., Skordas, E.S., Tanaka, H.K. and Varotsos, P.A. (2005) Origin of the Usefulness of the Natural-Time Representation of Complex Time Series. Physical Review Letters, 94, Article 170601.
https://doi.org/10.1103/physrevlett.94.170601
[61]  Varotsos, P.A., Sarlis, N.V., Skordas, E.S., Tanaka, H.K. and Lazaridou, M.S. (2006) Entropy of Seismic Electric Signals: Analysis in Natural Time under Time Reversal. Physical Review E, 73, Article 031114.
https://doi.org/10.1103/physreve.73.031114
[62]  Sarlis, N.V., Skordas, E.S. and Varotsos, P.A. (2011) Similarity of Fluctuations in Systems Exhibiting Self-Organized Criticality. Europhysics Letters, 96, Article 28006.
https://doi.org/10.1209/0295-5075/96/28006
[63]  Sarlis, N.V., Skordas, E.S., Lazaridou, M.S. and Varotsos, P.A. (2008) Investigation of Seismicity after the Initiation of a Seismic Electric Signal Activity until the Main Shock. Proceedings of the Japan Academy, Series B, 84, 331-343.
https://doi.org/10.2183/pjab.84.331
[64]  Hayakawa, M., Hobara, Y., Michimoto, K. and Nickolaenko, A.P. (2024) The Generation of Seismogenic Anomalous Electric Fields in the Lower Atmosphere, and Its Application to Very-High-Frequency and Very-Low-Frequency/Low-Frequency Emissions: A Review. Atmosphere, 15, Article 1173.
https://doi.org/10.3390/atmos15101173
[65]  Pulinets, S. and Budnikov, P. (2022) Atmosphere Critical Processes Sensing with ACP. Atmosphere, 13, Article 1920.
https://doi.org/10.3390/atmos13111920
[66]  Pulinets, S., Budnikov, P., Karelin, A. and Žalohar, J. (2023) Thermodynamic Instability of the Atmospheric Boundary Layer Stimulated by Tectonic and Seismic Activity. Journal of Atmospheric and Solar-Terrestrial Physics, 246, Article 106050.
https://doi.org/10.1016/j.jastp.2023.106050
[67]  Shitov, A.V., Pulinets, S.A. and Budnikov, P.A. (2023) Effect of Earthquake Preparation on Changes in Meteorological Characteristics (Based on the Example of the 2003 Chuya Earthquake). Geomagnetism and Aeronomy, 63, 395-408.
https://doi.org/10.1134/s0016793223600285
[68]  Ghosh, S., Sasmal, S., Maity, S.K., Potirakis, S.M. and Hayakawa, M. (2024) Thermal Anomalies Observed during the Crete Earthquake on 27 September 2021. Geosciences, 14, Article 73.
https://doi.org/10.3390/geosciences14030073

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