English

領域外・複数領域 (M)
セッション小記号計測技術・研究手法 (TT)
セッション IDM-TT36
タイトル Recent advances in forecasting/nowcasting and seismic hazard reduction
タイトル短縮名 Advances in forecasting/nowcasting
開催日時 口頭セッション 5/26(日) AM1
現地
ポスター
コアタイム		 5/26(日) PM3
代表コンビーナ 氏名 Yangkang Chen
所属 University of Texas at Austin
共同コンビーナ１ 氏名 John B Rundle
所属 University of California Davis
共同コンビーナ２ 氏名 Ouzounov Dimitar
所属 Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA
共同コンビーナ３ 氏名 服部 克巳
所属 千葉大学大学院理学研究科
セッション言語 E
スコープ Advanced data analysis technologies including machine learning (ML) and artificial intelligence (AI) have brought significant progress in integrating different observations (e.g., acoustic, elastic, remote sensing), as well as understanding the spatial-temporal correlations of earthquakes, which makes the previously intractable forecasting and nowcasting more possible. In addition, new sensing technologies enable the observation and exploration of earthquake precursor signals in an unprecedently high spatio-temporal resolution. These new signal processing techniques and high-quality and high-resolution datasets pave the way for multi-disciplinary studies of earthquake nucleation mechanisms and predictions, as well as advances in seismic hazard reduction. In this session, we welcome the contribution from a wide range of advances in the field of earthquake forecasting and nowcasting including but not limited to machine learning and AI-enhanced methods to integrate multi-purpose datasets; advances in understanding earthquake nucleation from laboratory to field; benchmark real case studies; new sensing and processing technologies for capturing the pre-earthquake signals; insights of earthquake hazard reduction in the era of predictable earthquakes.
発表方法 口頭およびポスターセッション
共催情報 学協会 -
ジョイント AGU