Using Remote Infrasound for Eruption Source Parameter Characterisation

Event Type: Seminar

Date: 19 January 2021, 13:00 to 15:00

About the Event

With global increases in population and air traffic, our ability to forecast when and where the hazard will occur is of prime importance. In the case of volcanic eruptions, forecasting is not limited to when and where an eruption will take place, but also when and where the impact of such eruption will be felt. In the case of explosive volcanic eruption one of the hazards that is cross-boundary is volcanic ash. The dispersal of volcanic ash can be modelled; however, the level of uncertainty drastically depends on our knowledge of the eruption itself. Critical parameters are the duration of the eruption as well as the height of the associated eruptive column. With those 2 parameters you can simulate a range of plausible ash dispersal scenarios. Such parameters could be retrieved by monitoring or research sensors or arrays deployed on the flank of the volcanoes. However, in regions with hundreds of active or potentially active volcanoes this is not always possible. We would like to demonstrate a few recent examples for which remote infrasound stations were used to extract eruption source parameters.

Watch Now

The recorded version of this live webinar is now available for viewing.

About the Speaker

Benoit Taisne

Benoit Taisne joined the Earth Observatory of Singapore (EOS) in 2012 as a Principal Investigator within the Volcano Group and the Asian School of the Environment (ASE) at Nanyang Technological University as Assistant Professor. He received his BSc and MSc degrees in Earth sciences at the University Pierre et Marie Curie and the École Normale Supérieure de Paris in 2004. He also holds an MSc in geophysics from the Institut de Physique du Globe de Paris, where he obtained his PhD in 2008. Prior to moving to Singapore, he was a post-doctoral researcher at the Montserrat Volcano Observatory and at the seismological laboratory of the Institut de Physique du Globe de Paris. 


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