Thread: SSA 2022 Session: Seismo-acoustics Applications to Forensics and Novel Monitoring Problems

Started: 2022-01-04 15:03:36
Last activity: 2022-01-04 15:03:36
Topics: SSA Meetings
Dear Colleagues,

We would like to draw your attention to the SSA 2022 session “Seismo-acoustics Applications to Forensics and Novel Monitoring Problems“. The abstract deadline is 12 January 2022 at 5 PM Pacific. You can submit the abstract with this link ( The SSA 2022 Annual Meeting will be held in Bellevue, Washington on 19-23 April 2022. All oral and poster presenters will be required to attend the meeting in person. SSA requires all meeting attendees to be fully vaccinated, and proof of vaccination will be handled via a third-party vendor. For those who cannot attend, SSA is exploring ways to make select content available via live stream or as recorded presentations on the SSA website. More information about the meeting can be found at

Session description:

Anthropogenic and animal activities generate detectable acoustic, infrasonic and seismic signals. Both temporary and permanent sensor deployments provide seismo-acoustic data that we can use to monitor, locate, identify and characterize such activities. For example: the COVID-19 pandemic lockdowns reduced seismic noise values globally; industrial facility activity generates seismo-acoustic signals that characterize machinery operation; and trail and road traffic produces seismic signals that both quantify traffic parameters and provide data for subsurface imaging. We require innovative analysis techniques to better extract the seismo-acoustic signals of anthropogenic and animal activities and to convert these signals to useful knowledge.

We welcome submissions on collection and analysis of seismo-acoustic data and techniques including but not limit to (1) seismo-acoustic monitoring of animal, domestic and industrial activities; (2) acoustic and seismic analyses of chemical, ammunition, or vapor explosions; (3) multi-signature fusion of seismo-acoustic data with other geophysical signatures; (4) source analyses of anthropogenic and animal activities; (5) special geophysical considerations of human-made environments that can bias source parameter estimates; (6) leveraging unconventional data streams for association and source location that include social media posts and (7) machine learning applications to acoustic and seismic signals.

Hope to see you in Bellevue, Washington

Chengping Chai, Oak Ridge National Laboratory (chaic<at><chaic<at>>)
Joshua D. Carmichael, Los Alamos National Laboratory (joshuac<at><joshuac<at>>)
Monica Maceira, Oak Ridge National Laboratory (maceiram<at><maceiram<at>>)
Omar Marcillo, Oak Ridge National Laboratory (marcillooe<at><marcillooe<at>>)

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