《科学大讲堂 第261期》Jean-Philippe Avouac 教授：地震活动的潮汐与季节性变化及其对震源物理的启示

以下内容根据公开信息整理，并经大模型处理生成，可能存在疏漏或误差，请以实际信息为准。

  • 题目: 地震活动的潮汐与季节性变化及其对震源物理的启示
  • 主讲人：Jean-Philippe Avouac 教授 @ 巴黎地球物理研究所
  • 时间：2026年11月2日 16:00-17:30
  • 地点：理学院三楼地球与空间科学系E3153报告厅

主讲人简介

Professor Jean-Philippe Avouac is Director of the Institut de Physique du Globe de Paris (IPGP) and Earle C. Anthony Professor of Geology and Mechanical and Civil Engineering at the California Institute of Technology. He is a member of the U.S. National Academy of Sciences and a Fellow of the American Geophysical Union (AGU). He received his Ph.D. in Geology from IPGP in 1991 and previously served as Director of the Caltech Tectonics Observatory and BP–McKenzie Professor of Earth Sciences at the University of Cambridge. His research integrates seismology, geodesy, satellite remote sensing, and physics-based modeling to investigate fault slip, earthquake cycles, active tectonics, and landscape evolution. His work encompasses Himalayan tectonics and seismic hazard, slow-slip phenomena, and the modulation of seismicity by tidal and seasonal stresses. His recent research focuses on crustal deformation and induced seismicity associated with subsurface fluid injection and extraction for geothermal energy production and CO2 storage. He has published more than 270 peer-reviewed articles and serves as co-Editor-in-Chief of Earth and Planetary Science Letters. He is a past President of the AGU Tectonophysics section, and his honors include the Alexander von Humboldt Foundation’s Senior Scientist Award and the Royal Society’s Wolfson Merit Award.

讲座简介

A longstanding hypothesis is that earthquake occurrence may be influenced by the position of the moon and the sun, as well as by environmental factors, rainfall in particular. These ideas were most debated in the 19th century, when it was realized that the earth undergoes tidal and seasonal deformation. However, analyses of earthquake catalogs based on historical accounts failed to reveal any significant correlation. Advances in instrumentation together with processing techniques enhanced by large scale computing and artificial intelligence have greatly improved the possibility of detecting such signals. In this presentation I will discuss examples where such signals were clearly evidenced and discuss the implications regarding fault properties and earthquake nucleation and triggering.

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