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V04: MODELLING OF CONDUIT AND PLUME PROCESSES:
DEFINING STRATEGIES FOR VOLCANO MONITORING
From: Nick Varley <nick@xxxxxxx>
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We would like to draw your attention to an exciting session at the
upcoming Joint Assembly of the AGU at Acapulco, Mexico, 22-25 May.
We are hoping for a diverse selection of presentations from different areas
of volcanology; theoretical, experimental or case studies of volcano
monitoring. Please note that the deadline for abstract submission is 1
March. For more information go to: {http://www.agu.org/meetings/ja07/"; }
http://www.agu.org/meetings/ja07/
where you can find an online submission form.
Description:
In recent years volcano monitoring has advanced greatly through the
introduction of new techniques, methods of analysis and improved models
which help in the understanding of different transient signals. The
possibilities of successful forecasting of eruptive activity are rapidly
increasing.
This session aims to bring together volcanologists collecting data on active
volcanoes and those producing numerical and experimental models of
conduit or eruption column processes. Often there is a deficit of data to
validate new models. We hope to explore some of the more recent
techniques being applied on active volcanoes and welcome presentations
of new and innovative applications. New types of monitoring have now
become commonplace, such as thermal monitoring, which has advanced
greatly with satellite-based instruments being supplemented with infrared
cameras or sensors located close to the crater. Other techniques such as
infrasound monitoring and Doppler radar are improving our understanding
of the conduit processes that control the transition between effusive and
explosive activity. The capability to monitor the products of magma
degassing has vastly increased due to remote sensing, new spectrometric
techniques and portable instruments. Within seismology, the models are
constantly improving, as well as the instrumentation and analytical
techniques, helping to close the gap between numerical models and
observations.
The usefulness of the wealth of data being generated is limited by the
models of the internal and external processes that create the perturbations
within the time series. The understanding of these processes and their
generation of signals permits a meaningful interpretation of the data.
Conveners:
Nick Varley
Universidad de Colima, Mexico
nick@xxxxxxx
Vyacheslav Zobin
Universidad de Colima, Mexico
vzobin@xxxxxxxxxxxx
John Stevenson
Universidad de Colima, Mexico
johnalexanderstevenson@xxxxxxxxxxx
Jeffrey Johnson
University of New Hampshire, USA
jeff.johnson@xxxxxxx
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