Wrld Earthquakes Live

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Report generated on 2023-10-03, 06:59:28 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, MOLUCCA SEA, SIMEULUE, INDONESIA, NEW GUINEA, PAPUA NEW GUINEA, KEPULAUAN TALAUD, INDONESIA, BALI SEA 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
2023-09-04T09:11:17.84Z2.1636127.3079109 km Mb 5.0MOLUCCA SEA MOLUCCA SEA
2023-09-05T14:58:04.61Z2.539295.833227 km Mb 5.0SIMEULUE, INDONESIA SIMEULUE, INDONESIA
2023-09-05T15:03:17.48Z-5.3025142.893154 km Mw 5.8NEW GUINEA, PAPUA NEW GUINEA NEW GUINEA, PAPUA NEW GUINEA
2023-09-07T19:20:13.57Z4.3647127.7608129 km Mw 5.1KEPULAUAN TALAUD, INDONESIA KEPULAUAN TALAUD, INDONESIA
2023-09-09T00:06:15.1Z-6.8391116.5372510 km Mw 5.6BALI SEA BALI SEA
(5 possible precursors found)

Updates of notable M6.0+ events in the Indonesia Region after possible precursor activity:
UTC Time Latitude Longitude Depth Magnitude Region
2023-09-09T14:43:24.69Z-0.0302119.854910 km Mw 6.0MINAHASA, SULAWESI, INDONESIA MINAHASA, SULAWESI, INDONESIA
2023-09-11T12:51:33.95Z1.1274127.4687157 km Mw 6.0HALMAHERA, INDONESIA HALMAHERA, INDONESIA

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 6.0 earthquake in MINAHASA, SULAWESI, INDONESIA at a depth of 10 km and origin time of 2023-09-09T14:43:24.69Z (UTC) occured in the region 0 day(s), 14 hour(s), 37 minute(s) and 0 second(s) after the last possible considered precursor earthquake in the BALI SEA (Indonesia Region), with a magnitude of MW 5.6 at a depth of 510 km, and origin time 2023-09-09T00:06:15.1Z (UTC).

In the past 30 days, our AI models have identified 5 earthquake(s) that could have been possible precursors for the MW 6.0 earthquake in MINAHASA, SULAWESI, INDONESIA at a depth of 10 km and origin time of 2023-09-09T14:43:24.69Z (UTC) between 2023-09-04T09:11:17.84Z and 2023-09-04T09:11:17.84Z (in a timeframe of 4 day(s), 14 hour(s), 54 minute(s) and 4 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

  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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