A recent earthquake in Turkey in 2023, saw massive devastation leading to minimum 53,500 lives lost, had a magnitude of almost 7.8 on the Richter scale. The impact was massive. If we analyze the recovery is still fully pending in Syria (Syria too was impacted) as well. A timely alert message could had saved so many lives. So, what it takes to justify an earthquake is about to come of this intensity, at this region ? And where to refuge to meaning where to define a safe zone? All this with the help of AI [8, 9] .
What happened in Turkey, 2023 was unforgettable, buildings were dislodged by earthquakes. There are alert systems messages that are owned in by most countries, so when does such an alert system message, be broadcasted? Means when does national level alert messages be send to citizens phone numbers? Such alert systems do exist for sure in UK, and other countries can share/buy these alert systems from UK or develop their own, if in case they dont have alert systems. A message form such an alert system is broadcasted to all citizens of a particular zone or area. Does your country earthquake department has access to use such alert systems? When to detect the first wave? AI can help in this [8, 9] ~
But would the timely earthquake alert messages synchronized in time, means would they timely in responding to an earthquake severity? Is the need for buffer time, to alert an earthquake enough? Can people be alerted by earthquake alerts to be in safe zone within time ? How to build such an alert system, so that lives are not lost? “AI based Below Earth Science [8, 9]” , an area needing newer perspectives~~~
What else is needed to predict the natural disaster as big as in Turkey in 2023, where is more than 50,000 lost their lives is handled well with time? That too in 21st century~~~
Is this not a research direction, that needs to be rightly supervised, funded and asked? Right supervision of such alert systems development is what is needed, already funding to such fields is nice in most places, means is it ever possible to get alerts on time? Lets try, then say, let us first try,
Some other earthquakes in history are as follows:
[1] 1964 Alaska earthquake, with a reading of 9.2.
[2] Earthquake 1960 Valdivia, Chile, it was a 9.4 measurements on Richter scale.
[3] 2004 Indian Ocean earthquake, measuring 9.2, killing much more than 227,898 people in the countries in this region.
[4] 2008 Sichuan earthquake, almost 90,000 lost their lives in this earthquake with this 7.9 Richter scale earthquake.
[5] 1976 Tangshan earthquake, 242,769 lives were lost reported in this earthquakes
[6] Another one was in Gujarat, 2001, where in 7.6 Richter scale reading was marked. Around 20,023 people lost their lives in this earthquake.
So, timely diagnosis of earthquake could had saved so many lives, another thing is prevention, how to prevent all this in first case, means how to make sure lives are not put on high risk zones.
Let us be optimistic, let us be optimist and then start working in this direction. Lets see if this is do-able, and if not what is do-able, some other measures, its says “prevention is better than cure” so if we cant prevent, then let the cure be ready, But I believe in most cases we should be able to detect and alert an earthquake within seconds of its arrival or generation unless of sudden gush of waves~~~Lets hope with AI we can do quicker alerts and see where the difference is [8, 9].
References
[1]https://en.wikipedia.org/wiki/2023_Turkey%E2%80%93Syria_earthquakes
[2] https://en.wikipedia.org/wiki/2001_Gujarat_earthquake
[3] https://en.wikipedia.org/wiki/1960_Valdivia_earthquake
[4] https://en.wikipedia.org/wiki/1964_Alaska_earthquake
[5] https://en.wikipedia.org/wiki/2004_Indian_Ocean_earthquake_and_tsunami
[6] https://en.wikipedia.org/wiki/2008_Sichuan_earthquake
[7] https://en.wikipedia.org/wiki/1976_Tangshan_earthquake
[8] Perol, T., Gharbi, M., & Denolle, M. (2018). Convolutional neural network for earthquake detection and location. Science Advances, 4(2), e1700578.
[9] Si, X., Wu, X., Li, Z., Wang, S., & Zhu, J. (2024). An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring. Communications Earth & Environment, 5(1), 22.
Artificial Intelligence, Computer Science & Mathematics 