Towards better earthquake risk assessment with machine learning
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Sep-2025 19:11 ET (2-Sep-2025 23:11 GMT/UTC)
The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is key to preventing soil-related disasters in earthquake-prone areas and ensuring a building’s structural safety. However, traditional methods to assess this depth involve high costs, time, and labor. Now, researchers from Japan have demonstrated improved depth prediction accuracy by employing machine learning algorithms, making it both cost-effective and a generalizable alternative to traditional field surveys.
Solid-oxide fuel cells are a promising material for future green energy infrastructure due to their high efficiency and long lifespan. However, they require operation at high temperatures of around 700-800℃. Now researchers at Kyushu University have succeeded in developing a new SOFC material with an efficient operating temperature of 300℃. The team expects that their new findings will greatly accelerate the practical application of green energy devices.
Natural weathering processes are removing CO2 from the air in a wide range of environments across continents and ocean. Until recently these ‘CO2 vacuum cleaners’ were often studied separately, without properly examining their complex interactions. Now, an international team of Earth scientists is proposing an integrated vision of the many factors that influence the removal of atmospheric CO2 from the highest mountain peaks to the deep ocean floor, including their various interactions. The so-called weathering continuum provides a much more complete picture on what controls and regulates the natural removal of CO2, which could help in the development of enhancing weathering techniques.
In a paper published in SCIENCE CHINA Earth Sciences, a team of researchers improved the precipitation simulation over the Tibetan Plateau using the Weather Research and Forecasting model with an optimized convective entrainment scheme and a turbulent orographic form drag scheme.