{"id":5198,"date":"2022-05-27T11:13:19","date_gmt":"2022-05-27T09:13:19","guid":{"rendered":"https:\/\/www.improve-etn.eu\/?page_id=5198"},"modified":"2024-03-15T15:20:55","modified_gmt":"2024-03-15T14:20:55","slug":"maurice-weber","status":"publish","type":"page","link":"https:\/\/www.improve-etn.eu\/index.php\/researchers\/maurice-weber\/","title":{"rendered":"Maurice Weber"},"content":{"rendered":"\n
\"Maurice<\/figure>
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Maurice Weber<\/h3>\n\n\n\n

Nationality<\/strong>: Germany
Institution<\/strong>: Dublin Institute for Advanced Studies
Country<\/strong>: Ireland
Research Title<\/strong>: Exploring deformation processes at Etna through analogue modelling \u2013 nearfield and dynamic seismic wave analysis<\/p>\n<\/div><\/div>\n\n\n\n

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PROJECT SUMMARY<\/h4>\n\n\n\n

This project investigates the relation between deformation and seismicity at Mount Etna. Broadband seismometers will be installed in the summit region of the volcano for several months to allow for long-term recording of deformtion processes and seismicity going along with it across various frequency ranges. Additionally, a dense network of seismic nodes will be deployed for a short duration to add to the broadband data.
Investigating changes over time in the seismic coda of vulcanic events may help to explore deformation processes such as its driving mechanisms or the amount of deformation that occurs silently by also taking results of laboratory tests of rock’s behaviour under stress and different conditions into account.<\/p>\n\n\n\n

Scientific Background<\/h4>\n\n\n\n

I graduated from University of Kiel in 2019 with the BSc in Physics of the Earth’s System covering insights into Geophysics as well as meteorology and oceanography. My main interests developed in geophysical processes and I therefore continued with a MSc in Geophysics where I mainly focused on active or passive seismics and seismology. I participated in some fieldwork doing near-surface prospection for archeological purposes. For my master thesis I estimated the sedimentary structure and its shear wave velocities in a shallow marine environment through recordings of ambient noise at a profile of ocean bottom seismometers. Ambient noise data was cross-correlated and compared to synthetic Green’s Functions calculated from forward modelling to continuously improve an input model of the subsurface.<\/p>\n\n\n\n

Activity Record<\/h4>\n\n\n