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Predicting Peak Ground Velocity of real-time seismic data from Southern California using Machine Learning

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorTrampert, Jeannot
dc.contributor.authorWel, Tessa van der
dc.date.accessioned2024-07-03T23:04:06Z
dc.date.available2024-07-03T23:04:06Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/46626
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThe aim of this study is to train a machine learning model which can predict the peak ground velocity in quasi-real time.
dc.titlePredicting Peak Ground Velocity of real-time seismic data from Southern California using Machine Learning
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuEarth Structure and Dynamics
dc.thesis.id32445


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