Wrld Earthquakes Live

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Report generated on 2023-03-20, 09:19:05 UTC

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AI BETA TESTING v1.16 HIGH THREAT

Using AI techniques, our recent observations of seismic activity in the Indonesia Region have revealed a high probability of significant earthquakes to occur in certain areas in the near future. In particular, SOLOMON ISLANDS, BANDA SEA, OFF W COAST OF NORTHERN SUMATRA, KEPULAUAN BABAR, INDONESIA have shown signs of increased seismic activity.

Events considered as possible precursors for future events in the Indonesia Region:
UTC Time Latitude Longitude Depth Magnitude Region
2023-02-20T17:53:33.7Z-9.82160.2810 km Mb 5.1SOLOMON ISLANDS SOLOMON ISLANDS
2023-02-21T16:15:52.7Z-6.27130.1910 km Mb 5.0BANDA SEA BANDA SEA
2023-02-21T19:22:11.6Z1.8293.871 km Mb 5.0OFF W COAST OF NORTHERN SUMATRA OFF W COAST OF NORTHERN SUMATRA
2023-02-22T09:34:05.5Z-7.01129.43130 km Mb 5.6KEPULAUAN BABAR, INDONESIA KEPULAUAN BABAR, INDONESIA
(4 possible precursors found)

Updates of notable M6.0+ events in the Indonesia Region after possible precursor activity:
UTC Time Latitude Longitude Depth Magnitude Region
2023-02-23T20:02:48.4Z3.38128.0995 km Mw 6.3NORTH OF HALMAHERA, INDONESIA NORTH OF HALMAHERA, INDONESIA
2023-02-25T21:24:49.0Z-6.06149.838 km Mw 6.2NEW BRITAIN REGION, P.N.G. NEW BRITAIN REGION, P.N.G.
2023-03-01T05:36:15.4Z-4.81149.52599 km Mw 6.5BISMARCK SEA BISMARCK SEA
2023-03-07T06:02:31.4Z7.53126.1110 km Mw 6.0MINDANAO, PHILIPPINES MINDANAO, PHILIPPINES
2023-03-07T13:51:50.9Z-3.17150.6310 km Mw 6.0NEW IRELAND REGION, P.N.G. NEW IRELAND REGION, P.N.G.
2023-03-14T00:49:09.1Z-5.39146.85214 km Mw 6.3EASTERN NEW GUINEA REG., P.N.G. EASTERN NEW GUINEA REG., P.N.G.

AI RESULTS AND SIGNIFICANT FINDINGS:

The results of the AI methods employed in the study of seismic precursor activity in the Indonesia Region have revealed a significant finding. It has been determined that MW 6.3 earthquake in NORTH OF HALMAHERA, INDONESIA at a depth of 95 km and origin time of 2023-02-23T20:02:48.4Z (UTC) occured in the region 1 day(s), 10 hour(s), 28 minute(s) and 1 second(s) after the last possible considered precursor earthquake in the KEPULAUAN BABAR, INDONESIA (Indonesia Region), with a magnitude of MB 5.6 at a depth of 130 km, and origin time 2023-02-22T09:34:05.5Z (UTC).

In the past 30 days, our AI models have identified 4 earthquake(s) that could have been possible precursors for the MW 6.3 earthquake in NORTH OF HALMAHERA, INDONESIA at a depth of 95 km and origin time of 2023-02-23T20:02:48.4Z (UTC) between 2023-02-20T17:53:33.7Z and 2023-02-20T17:53:33.7Z (in a timeframe of 1 day(s), 15 hour(s), 40 minute(s) and 1 second(s) interval).

This observation sheds light on the potential relationship between recent seismic activity and earthquakes considered as precursors in the Indonesia 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 Indonesia Region. Further research is needed to validate these findings and determine the practical applications of this knowledge in earthquake prediction and response.

References

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  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.
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