Peng, Zhigang
2021-01-09 21:58:50
Dear all: please consider submitting your abstract to the following session on ""New Insights Into the Preparatory Phase of Earthquakes From Tectonic, Field and Lab Experiments". See below for the detailed description. The abstract deadline is January 13th (Wed) at 5 pm. Thank you very much.
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Description: Earthquake prediction and forecasting has been a great scientific challenge for many decades. When reviewing the historical developments around the world, we find that advances in our understanding of the predictability of earthquakes emerge from detailed analyses of new datasets and types of significant earthquakes as well as statistical research, model developments, lab and field experiments. Recently, new constraints have been placed on the earthquake preparation and nucleation phase from detailed observations of foreshocks, aseismic slip before subduction zone earthquakes, seismic slip nucleation in the lab and from statistical analyses of seismicity. Particularly strong constraints can emerge from experiments to catch large earthquakes in the act, such as the Parkfield, California, Earthquake Prediction Site of the U.S. Geological Survey and
more recently the China Seismic Experimental Site (CSES) of the China Earthquake Administration. By using the seismically active Sichuan-Yunnan region as a natural observatory, CSES plans to foster an international and interdisciplinary cooperation on fundamental research in continental earthquakes.
In this session, we welcome contributions that illuminate or constrain the earthquake preparation phase from across the scales, from lab and field scales to global studies, and across the disciplines, including seismology, geodesy, geophysics and numerical modelling to experimental rock mechanics. We seek presentations that either develop new hypotheses (in exploratory research) or aim to test existing hypotheses (in confirmatory research). We also welcome contributions that leverage data science, including artificial intelligence, big data or cloud computing, to advance earthquake predictability research.
Note: this is a joint Seismological Society of China (SSC)-Seismological Society of China (SSA) Session
Abstract Submission Link: https://www.seismosoc.org/meetings/submission-system/
Zhigang Peng
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Professor of Geophysics
School of Earth and Atmospheric Sciences
Georgia Institute of Technology
Address: ES&T Building, Rm. 2256
311 Ferst Drive, Atlanta, GA, 30332-0340
Office: 404-894-0231, Lab: 404-385-2050
Fax: 404-894-5638
Email: zpeng<at>gatech.edu<zpeng<at>gatech.edu>
Web: http://geophysics.eas.gatech.edu/people/zpeng
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Description: Earthquake prediction and forecasting has been a great scientific challenge for many decades. When reviewing the historical developments around the world, we find that advances in our understanding of the predictability of earthquakes emerge from detailed analyses of new datasets and types of significant earthquakes as well as statistical research, model developments, lab and field experiments. Recently, new constraints have been placed on the earthquake preparation and nucleation phase from detailed observations of foreshocks, aseismic slip before subduction zone earthquakes, seismic slip nucleation in the lab and from statistical analyses of seismicity. Particularly strong constraints can emerge from experiments to catch large earthquakes in the act, such as the Parkfield, California, Earthquake Prediction Site of the U.S. Geological Survey and
more recently the China Seismic Experimental Site (CSES) of the China Earthquake Administration. By using the seismically active Sichuan-Yunnan region as a natural observatory, CSES plans to foster an international and interdisciplinary cooperation on fundamental research in continental earthquakes.
In this session, we welcome contributions that illuminate or constrain the earthquake preparation phase from across the scales, from lab and field scales to global studies, and across the disciplines, including seismology, geodesy, geophysics and numerical modelling to experimental rock mechanics. We seek presentations that either develop new hypotheses (in exploratory research) or aim to test existing hypotheses (in confirmatory research). We also welcome contributions that leverage data science, including artificial intelligence, big data or cloud computing, to advance earthquake predictability research.
Note: this is a joint Seismological Society of China (SSC)-Seismological Society of China (SSA) Session
Abstract Submission Link: https://www.seismosoc.org/meetings/submission-system/
Zhigang Peng
--
Professor of Geophysics
School of Earth and Atmospheric Sciences
Georgia Institute of Technology
Address: ES&T Building, Rm. 2256
311 Ferst Drive, Atlanta, GA, 30332-0340
Office: 404-894-0231, Lab: 404-385-2050
Fax: 404-894-5638
Email: zpeng<at>gatech.edu<zpeng<at>gatech.edu>
Web: http://geophysics.eas.gatech.edu/people/zpeng
