The IIT Madras team offers a new approach to accurately detect seismic activity

IIT Madras researchers have come up with a new approach to accurately detect seismic activity, save lives.

Researchers at the Indian Institute of Technology (IIT) in Madras have developed a new approach to accurately detect earthquakes and initiate measurements within 30 seconds to 2 minutes after picking up the first warning signals to save earthquakes. human lives and precious goods. This delay, although appearing tiny, is enough to shut down nuclear reactors, transportation like subways or even elevators in high-rise buildings to save countless human lives, they said Thursday. The approach could also be used with precision to detect faults and isolation in other areas, they said. “Information about the arrival of P waves is crucial in determining other event source parameters such as magnitude, depth and location of the epicenter. Therefore, a solution to the P-wave detection problem that is robust, precise and precise is essential in order to correctly estimate the details of the event and to reduce the damage caused by the earthquake or other triggered events ” , explains Kanchan Aggarwal, PhD student, IIT, Madras who undertook the research under the supervision of Professor Arun K Tangirala, Department of Chemical Engineering of the first institute. Highlighting the practical applications of this research, funded in part by the Board of Research in Nuclear Sciences, an advisory body to the Department of Atomic Energy, Prof Tangirala said the proposed framework is not necessarily limited to the detection of seismic events but is generic and can be used for fault detection and isolation in other areas as well. “In addition, the framework can integrate any predictive model, including machine learning and deep learning models, which will reduce human intervention in detection,” said Tangirala, serial analysis expert. chronological, multiscale signal analysis, system identification and estimation theory among other areas, says. The results of their research have been published in the open access scientific journals PLOS ONE. The proposed approach provides a diverse set of capabilities to accurately detect and detect the onset of the P wave, especially under low signal-to-noise ratio (SNR) conditions that all existing methods fail to achieve. The unique aspects of this new solution approach over existing approaches are that it is proportional to the noise characteristics resulting in minimal sensitivity to outliers or robust detection, offers more flexible frequency band selection, breaking down to both the lower and upper frequencies in each level, resulting in accurate detection, a statement said. It allows the user to eliminate noise in unwanted time-frequency bands, which improves SNR. This results in a precise selection of the appearance of the P wave. The work proposes a new detector and automatic selector of P waves in real time in the framework of prediction with a time-frequency localization function. This approach is not necessarily limited to the detection of seismic events but is rather generic in that it can also be used for fault detection in other areas, the statement added. Another positive impact of the proposed framework is that it facilitates reconstruction of the P wave once it has been detected. This aspect has not been explored by peers. “The ground is continually agitated, mainly due to waves in the ocean, changes in the earth’s crust, atmospheric variations and human activities,” he added. Seismic signals can be generated either by natural phenomena (earthquakes, volcanic eruptions, tsunamis, etc.) or man-made (heavy traffic, nuclear explosions, mining activity, etc.) Whatever the source, all seismic events release an energy proportional to their scale. This released energy travels in all directions as a wave and is recorded as a seismic signal by a seismometer. Seismograms are records of the vibratory movements of the ground obtained from a seismometer. Analysis of these seismograms is essential for understanding Earth activity and setting up early warning systems for earthquakes, determining source locations and detecting the source of other seismic events. the damaging part of an earthquake has great value in protecting lives and preventing loss of property, they said.

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6 thoughts on “The IIT Madras team offers a new approach to accurately detect seismic activity”

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