GM2.1 | Environmental Seismology: advancing Earth surface process understanding through geophysical methods
EDI
Environmental Seismology: advancing Earth surface process understanding through geophysical methods
Co-organized by CR6/SM5
Convener: Josefine UmlauftECSECS | Co-conveners: Małgorzata ChmielECSECS, Janneke van GinkelECSECS, Fabian Lindner, Michael Dietze

Our planet is shaped by a multitude of physical, chemical and biological processes. Most of these processes and their effect on the ground’s properties can be sensed by seismic instruments – as discrete events or continuous signatures. Seismic methods have been developed, adopted, and advanced to study those dynamics at or near the surface of the earth, with unprecedented detail, completeness, and resolution. The community of geophysicists interested in Earth surface dynamics and geomorphologists, glaciologists, hydrologists, volcanologists, geochemists, biologists or engineering geologists interested in using arising geophysical tools and techniques is progressively growing and collaboratively advancing the emerging scientific discipline Environmental Seismology.

If you are interested in contributing to or getting to know the latest methodological and theoretical developments, field and lab scale experimental outcomes, and the broad range of applications in geomorphology, glaciology, hydrology, meteorology, engineering geology, volcanology and natural hazards, then this session would be your choice. We anticipate a lively discussion about standing questions in Earth surface dynamics research and how seismic methods could help solving them. We will debate about community based research opportunities and are looking forward to bringing together transdisciplinary knowledge and mutual curiosity.

Topical keywords: erosion, transient, landslide, rockfall, debris flow, fracturing, stress, granular flow, rock mechanics, snow avalanche, calving, icequake, basal motion, subglacial, karst, bedload, flood, GLOF, early warning, coast, tsunami, eruption, tremor, turbidity current, groundwater, soil moisture, noise, dv/v, HVSR, fundamental frequency, polarization, array, DAS, infrasound, machine learning, classification, experiment, signal processing.