• Researchers develop new algorithms to enhance earthquake forecasting

    A study published in Seismological Research Letters on October 11, 2024, presents new algorithms to enhance earthquake forecasting, marking a significant advancement in understanding how seismic activity escalates before major earthquakes. These improvements in medium-term forecasting hold crucial implications for public preparedness and effective risk management, particularly in earthquake-prone regions.

  • Study reveals precursors to the 2021 Fukushima earthquake through multi-parameter analysis

    A new study was conducted to understand the precursors to the 2021 Fukushima Prefecture Offshore Earthquake (Mj = 7.3), which occurred on February 13, 2021, off the coast of Fukushima, Japan, as an aftershock of the 2011 Tōhoku earthquake and tsunami. The investigation, led by Masashi Hayakawa and Yasuhide Hobara, focused on the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) channels and multi-parameter anomalies that occurred before the earthquake.

  • Researchers use AI to predict major earthquakes months in advance

    A recent study by Társilo Girona of the University of Alaska Fairbanks and Kyriaki Drymoni of Ludwig-Maximilians-Universität in Munich proposed a new machine learning technique for predicting big earthquakes months in advance. The study, published in Nature Communications on August 28, 2024, intended to improve earthquake predictions and public safety.

  • Electromagnetic anomalies occurring before large earthquakes

    A new study published in Earth, Planets and Space sheds new light on the electromagnetic anomalies occurring before large earthquakes. The research supports the hypothesis that fault rupture progresses just before an earthquake, and the invading gas is charged and…