Wrld Earthquakes Live

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Report generated on 2024-04-26, 20:12:38 UTC

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AI BETA TESTING v1.16 LOW THREAT

Using AI techniques, our recent observations of seismic activity in the Japan Region have revealed a high probability of significant earthquakes to occur in certain areas in the near future. In particular, NEAR EAST COAST OF HONSHU, JAPAN, KURIL ISLANDS have shown signs of increased seismic activity.

Events considered as possible precursors for future events in the Japan Region:
UTC Time Latitude Longitude Depth Magnitude Region
2024-04-01T19:24:35.52Z40.1535141.578159 km Mw 5.9NEAR EAST COAST OF HONSHU, JAPAN NEAR EAST COAST OF HONSHU, JAPAN
2024-04-02T09:32:54.72Z44.6513149.24610 km Mb 5.5KURIL ISLANDS KURIL ISLANDS
(2 possible precursors found)

Updates of notable M6.0+ events in the Japan Region after possible precursor activity:
UTC Time Latitude Longitude Depth Magnitude Region
2024-04-04T03:16:31.68Z37.749141.801840 km Mw 6.1NEAR EAST COAST OF HONSHU, JAPAN NEAR EAST COAST OF HONSHU, JAPAN
2024-04-17T14:14:45.9Z33.1621132.387125.7 km Mw 6.2SHIKOKU, JAPAN SHIKOKU, JAPAN

AI RESULTS AND SIGNIFICANT FINDINGS:

The results of the AI methods employed in the study of seismic precursor activity in the Japan Region have revealed a significant finding. It has been determined that MW 6.1 earthquake in NEAR EAST COAST OF HONSHU, JAPAN at a depth of 40 km and origin time of 2024-04-04T03:16:31.68Z (UTC) occured in the region 1 day(s), 17 hour(s), 43 minute(s) and 1 second(s) after the last possible considered precursor earthquake in the KURIL ISLANDS (Japan Region), with a magnitude of MB 5.5 at a depth of 10 km, and origin time 2024-04-02T09:32:54.72Z (UTC).

In the past 30 days, our AI models have identified 2 earthquake(s) that could have been possible precursors for the MW 6.1 earthquake in NEAR EAST COAST OF HONSHU, JAPAN at a depth of 40 km and origin time of 2024-04-04T03:16:31.68Z (UTC) between 2024-04-01T19:24:35.52Z and 2024-04-01T19:24:35.52Z (in a timeframe of 0 day(s), 14 hour(s), 8 minute(s) and 0 second(s) interval).

This observation sheds light on the potential relationship between recent seismic activity and earthquakes considered as precursors in the Japan Region. The use of AI techniques in seismic analysis has become increasingly popular in recent years due to its ability to process large amounts of data in a short amount of time. By leveraging these methods, seismologists are able to gain deeper insights into the patterns and behaviors of earthquakes and make more research about future seismic activity. In conclusion, the results of the AI-based study suggest that there may be a connection between possible precursors and powerful earthquakes in the Japan Region. Further research is needed to validate these findings and determine the practical applications of this knowledge in earthquake prediction and response.

References

  1. Ouzounov, D., Pulinets, S., Hattori, K., & Taylor, P. (2018). Pre-earthquake processes: a multidisciplinary approach to earthquake prediction studies (Vol. 234). John Wiley & Sons.
  2. Szakács, A. (2021). Precursor-Based Earthquake Prediction Research: Proposal for a Paradigm-Shifting Strategy. Frontiers in Earth Science, 8, 548398.
  3. Bolton, D. C., Shreedharan, S., Rivière, J., & Marone, C. (2020). Acoustic energy release during the laboratory seismic cycle: Insights on laboratory earthquake precursors and prediction. Journal of Geophysical Research: Solid Earth, 125(8), e2019JB018975.
  4. Hayakawa, M. (2018). Earthquake precursor studies in Japan. Pre‐Earthquake Processes: A Multidisciplinary Approach to Earthquake Prediction Studies, 7-18.
  5. Uyeda, S. (2013). On earthquake prediction in Japan. Proceedings of the Japan Academy, Series B, 89(9), 391-400.
  6. Lu, K., Hou, M., Jiang, Z., Wang, Q., Sun, G., & Liu, J. (2018). Understanding earthquake from the granular physics point of view—Causes of earthquake, earthquake precursors and predictions. International Journal of Modern Physics B, 32(07), 1850081.
  7. Martinelli, G. (2018). Contributions to a history of earthquake prediction research. Pre-Earthquake Processes: A Multidisciplinary Approach to Earthquake Prediction Studies, 67-76.
  8. Tehseen, R., Farooq, M. S., & Abid, A. (2020). Earthquake prediction using expert systems: a systematic mapping study. Sustainability, 12(6), 2420.
  9. Berhich, A., Belouadha, F. Z., & Kabbaj, M. I. (2022). A location-dependent earthquake prediction using recurrent neural network algorithms. Soil Dynamics and Earthquake Engineering, 161, 107389.

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