Dear colleagues,
Please consider submitting an abstract to this new interdisciplinary session at the next EGU General Assembly (8-13 April 2018, Vienna, Austria):
Interdisciplinary Event IE3.4/TS11.7/GD10.3/GI3.17/GM.
Laboratory modelling of geological processes is a branch of the Earth Sciences that has seen recent breakthroughs in the development of new imaging and analytical techniques. Creating images of experiments in the laboratory is crucial for qualitative and quantitative model analysis and subsequent interpretation, leading to a better understanding of the geological processes under investigation. Nowadays, a wide range of Earth Science disciplines developed state-of-the-art imaging techniques in laboratory experiments to investigate processes related to geodynamics, geomorphology, natural hazards, sedimentology, tectonics and structural geology, and volcanology.
During the last three decades, quantification in laboratory modelling was indeed revolutionised with the progressive appearance of new imaging technologies, which have allowed the study of the interior of opaque structures and compute displacement, velocity, stress and strain field maps, as well as topography. Suggested techniques of interest include (but are not limited to) particle image velocimetry, particle tracking, structure-from-motion, digital image correlation, photoelasticity, X-ray CT scanning, seismic reflection, digitisation of model sections, laser scanning, fringe projection and stereo photogrammetry.
This session invites presentations on advancements in imaging and analytical techniques used in any type of laboratory models of geological processes. This cross-disciplinary session aims to showcase the range of techniques that are being utilised in laboratory modelling, discuss the improvements and limitations of these techniques, share good practice, assess their value to provide better quantification and understanding, and explore the future of imaging and analysis in laboratory modelling of geological processes.
Invited speakers: Katherine Dobson (Durham, UK) and Thomas Goebel (University of California, Santa Cruz)
We kindly invite you to submit an abstract to this session using the following link: http://meetingorganizer.
The deadline for abstract submission is 10 January 2018 (13:00 CET).
Best wishes,
Janine Kavanagh (University of Liverpool, UK)
Vincent Strak (Vrije Universiteit Amsterdam, Netherlands)
Matthias Rosenau (GFZ Potsdam, Germany)
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