V13D:
Styles of Volcanism: Forecasting, Pattern Recognition, and Monitoring Developing Eruptions I
V13D:
Styles of Volcanism: Forecasting, Pattern Recognition, and Monitoring Developing Eruptions I
Styles of Volcanism: Forecasting, Pattern Recognition, and Monitoring Developing Eruptions I
Session ID#: 9800
Session Description:
Recent effusive eruptions in Hawaii, Iceland, and Cape Verde, as well as explosive eruptions in Chile and Japan, have emphasized problems in forecasting eruptive behavior. Variations in the amount and diversity of monitoring equipment and eruptive records at different volcanoes make reliable recognition of eruption precursors difficult. Furthermore, it is challenging to incorporate both models and observations into quantitative forecasts of developing eruptions. We welcome multi-disciplinary studies that integrate petrological, experimental, and monitoring data, along with numerical simulations of eruptive processes and statistical analysis, to predict the style of volcanism and provide quantitative forecasts for hazard mitigation, including lava flow paths and advance rates. Particularly relevant are applications of machine learning methods to recognize and classify volcanic processes, investigations of magma ascent processes that impact explosivity, and studies of lava flow emplacement. We further seek to explore how near-real time monitoring can aid emergency management and mitigate developing volcanic hazards.
Primary Convener: Michael Cassidy, Johannes Gutenberg University of Mainz, Mainz, Germany
Conveners: Hannah R Dietterich, U.S. Geological Survey, Volcano Science Center, Menlo Park, CA, United States, Kathi Unglert, University of British Columbia, Vancouver, BC, Canada and Einat Lev, Columbia University of New York, Palisades, United States
Chairs: Einat Lev, Columbia University of New York, Palisades, United States, Frank Trusdell, USGS-Hawaiian Volcano Observatory, Hilo, United States and Michael Cassidy, Johannes Gutenberg University of Mainz, Mainz, Germany
OSPA Liaison: Einat Lev, Columbia University of New York, Palisades, United States
Cross-Listed:
- G - Geodesy
- NG - Nonlinear Geophysics
- NH - Natural Hazards
- S - Seismology
Co-Sponsor(s):
- EGU-GMPV: European Geosciences Union – Geochemistry, Mineralogy, Petrology, and Volcanology - European Geosciences Union – Geochemistry, Mineralogy, Petrology, and Volcanology
Index Terms:
0555 Neural networks, fuzzy logic, machine learning [COMPUTATIONAL GEOPHYSICS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
8414 Eruption mechanisms and flow emplacement [VOLCANOLOGY]
8419 Volcano monitoring [VOLCANOLOGY]
Abstracts Submitted to this Session:
See more of: Volcanology, Geochemistry and Petrology
