Scientists from the Russian Academy of Sciences in Siberia have created a computational platform for assessing earthquake forerunners based on geoelectric monitoring data. According to scientists, identifying earthquake precursors is one of the most serious challenges in the world, and this system will help predict seismic events several weeks in advance.
Scientists pointed out that the difference between the innovative system and its current counterparts is that predicting earthquake precursors depends on ground electrical monitoring data, rather than data related to fluctuations because the tension of the earth’s crust and the resistance of its rocks are closely related, so this method is a new approach.
The innovative platform was tested at the geodynamic test site in Bishkek. The tests involved sending a powerful current underground, after which monitoring stations located tens of kilometers from the test site analyze the received data.
It is noteworthy that an earthquake is a sudden and rapid shaking of the ground due to the movement of the rock layer under the surface of the earth, or due to volcanic or magmatic activity. Earthquakes occur suddenly without warning, and can occur at any time. They can also lead to deaths, injuries, property damage, and loss of life. Shelter, livelihoods, and disruption of vital infrastructure. Most earthquake deaths are due to the collapse of buildings or as a result of secondary hazards such as fires, tsunamis, floods, landslides, and the release of chemicals or toxic substances.
