Thread: EGU2020 session - New seismic data analysis methods for automatic characterization of seismicity

Started: 2019-12-20 15:24:24
Last activity: 2019-12-20 15:24:24
Topics: EGU Meetings
Dear colleagues,

We would like to draw your attention to the following session at the next EGU General Assembly taking place in Vienna, Austria from 3-8 May 2020.

SM1.2 - New seismic data analysis methods for automatic characterization of seismicity

Session link:

Session abstract:
In the last two decades the number of high quality seismic instruments being installed around the world has grown exponentially and probably will continue to grow in the coming decades. This led to a dramatic increase in the volume of available seismic data and pointed out the limits of the current standard routine seismic analysis, often performed manually by seismologists. Exploiting this massive amount of data is a challenge that can be overcome by using new generation, fully automated and noise-robust seismic processing techniques. In the last years waveform-based detection and location methods have grown in popularity and their application have dramatically improved seismic monitoring capability. Moreover, machine learning techniques, which are dedicated methods for data-intensive applications, are showing promising results in seismicity characterization applications opening new horizons for the development of innovative, fully automated and noise-robust seismic analysis methods. Such techniques are particularly useful when working with data sets characterized by large numbers of weak events with low signal-to-noise ratio, such as those collected in induced seismicity, seismic swarms and volcanic monitoring operations. This session aims to bring to light new methods that can be applied to large data sets, either retro-actively or in (near) real-time, to characterize seismicity (i.e., perform detection, location, magnitude and source mechanisms estimation) at different scales and in different environments. We thus encourage contributions that demonstrate how the proposed methods help improve our understanding of earthquake and/or volcanic processes.

We cordially invite you to submit your abstracts for oral or poster presentations at this session. The abstract submission deadline is 15 January 2020, 13:00 CET.

The EGU also encourages General Assembly attendees to minimize their carbon footprint when travelling to Vienna by taking the train when possible.

We are looking forward to receiving your contributions.

With kind regards,
The session conveners,
Nima Nooshiri, Natalia Poiata, Francesco Grigoli, Simone Cesca, Federica Lanza

Federica Lanza, PhD
Swiss Seismological Service | Schweizerischer Erdbebendienst (SED)
ETH Zürich
NO F 69.3, Sonneggstrasse 5
CH-8092 Zurich, Switzerland

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