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IIT-M team develops method for detecting earthquakes

IIT-M team develops method for detecting earthquakes
IIT-M team develops method for detecting earthquakes


Accurate estimation of the arrival time of non-destructive earthquake waves will aid in the development of a robust early warning system and give a lead time of 30 seconds to 2 minutes depending on the distance of the epicenter from the observation or factory site until the destructive surface waves reach the ground.

Researchers at IIT Madras have developed a new approach for accurate earthquake detection. This lead time, while seemingly small, is enough to take critical precautions such as shutting down nuclear reactors, transportation like the metro and stopping elevators, among many other measures that could save countless lives.

The research was conducted by Kanchan Agarwal under the guidance of Arun K Tangirala, Department of Chemical Engineering, IIT Madras.

The research findings were published in the peer-reviewed scientific journal PLOS ONE, according to an issue of IIT Madras.

Diverse predictive model

Tangirala said the proposed framework is not necessarily limited to seismic event detection but is general and can be used for fault and isolation detection in other areas as well.

The framework can include any predictive models, including machine learning and deep learning models, that will reduce human interference with discovery.

Tangirala is an expert in time series analysis, multi-scale analysis of signals, system identification and estimation theory, among other fields. The research was funded in part by the Council for Research in Nuclear Sciences, an advisory body to the Department of Atomic Energy.

Kanchan Aggarwal says that information about the arrival of the ‘P-wave’ is essential in determining other source parameters of an event such as magnitude, depth, and epicenter location.

Therefore, it is necessary to find a robust, accurate and accurate solution to the “P-wave” detection problem to correctly estimate event details and reduce damage from earthquake or other pop-up events.





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