Wrld Earthquakes Live

44 user(s) online:

Report generated on 2024-03-04, 19:15:15 UTC

VERY IMPORTANT! THIS PAGE MAY CONTAIN ERRORS OR INACCURACIES. Therefore, you are not allowed to distribute or reproduct in any media or social platforms. The results shown on this page should not be considered as a clear prediction or definitive statement. The information contained in this page is based on limited data and is intended for general reference only. It should not be used as a sole source of information for making decisions, and it is not intended to replace professional judgment or expert advice. Please keep in mind that this page may not be complete or up-to-date, and it may contain errors or inaccuracies. The information contained in this page is provided without warranty of any kind, either express or implied. In light of these limitations, it is important that you do not rely solely on this page for making decisions. You are encouraged to consult additional sources of information and seek professional guidance before making any decisions based on the information contained in this page. By using this page, you agree to hold harmless the creators and distributors of this page from any liabilities or damages that may arise from its use. If you are in doubt about the accuracy or suitability of this page for a particular purpose, please seek the advice of a qualified professional. This page is for personal use only and may not be copied or distributed in any media or social platforms. The information contained in this page is intended for general reference only and may contain errors or inaccuracies. It should not be used as a sole source of information for making decisions and is not intended to replace professional judgment or expert advice.


AI BETA TESTING v1.16 HIGH THREAT

Using AI techniques, our recent observations of seismic activity in the South America Region have revealed a high probability of significant earthquakes to occur in certain areas in the near future. In particular, CENTRAL MID-ATLANTIC RIDGE, OFF COAST OF SOUTHERN PERU, OFFSHORE ATACAMA, CHILE have shown signs of increased seismic activity.

Events considered as possible precursors for future events in the South America Region:
UTC Time Latitude Longitude Depth Magnitude Region
2024-02-08T21:29:15.58Z1.6377-30.594610 km Mb 5.1CENTRAL MID-ATLANTIC RIDGE CENTRAL MID-ATLANTIC RIDGE
2024-02-09T22:17:07.85Z-18.0218-73.407535 km Mb 5.0OFF COAST OF SOUTHERN PERU OFF COAST OF SOUTHERN PERU
2024-02-11T21:14:43.6Z-28.2288-71.246428.2 km Mw 5.4OFFSHORE ATACAMA, CHILE OFFSHORE ATACAMA, CHILE
(3 possible precursors found)

Updates of notable M6.0+ events in the South America Region after possible precursor activity:
UTC Time Latitude Longitude Depth Magnitude Region
2024-02-14T01:31:43.15Z-28.92-71.3930 km Mw 6.0ATACAMA, CHILE ATACAMA, CHILE

AI RESULTS AND SIGNIFICANT FINDINGS:

The results of the AI methods employed in the study of seismic precursor activity in the South America Region have revealed a significant finding. It has been determined that MW 6.0 earthquake in ATACAMA, CHILE at a depth of 30 km and origin time of 2024-02-14T01:31:43.15Z (UTC) occured in the region 2 day(s), 4 hour(s), 17 minute(s) and 2 second(s) after the last possible considered precursor earthquake in the OFFSHORE ATACAMA, CHILE (South America Region), with a magnitude of MW 5.4 at a depth of 28.2 km, and origin time 2024-02-11T21:14:43.6Z (UTC).

In the past 30 days, our AI models have identified 3 earthquake(s) that could have been possible precursors for the MW 6.0 earthquake in ATACAMA, CHILE at a depth of 30 km and origin time of 2024-02-14T01:31:43.15Z (UTC) between 2024-02-08T21:29:15.58Z and 2024-02-08T21:29:15.58Z (in a timeframe of 2 day(s), 23 hour(s), 45 minute(s) and 2 second(s) interval).

This observation sheds light on the potential relationship between recent seismic activity and earthquakes considered as precursors in the South America 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 South America 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.

Worldwide Earthquakes