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Real-time information from seismic networks

Köhler, Nina

Abstract:
In this thesis, the performance of a novel methodology for the real-time estimation of seismic source parameters is evaluated which can be used in earthquake early warning systems. The method, PreSEIS, uses artificial neural networks to map seismic observations from a network of sensors onto likely source parameters. The method is veryfied using two real earthquake datasets, as well as a synthetic earthquake dataset to evaluate the performance of the Istanbul early warning system.

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Volltext §
DOI: 10.5445/IR/1000015555
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Hochschulschrift
Publikationsjahr 2010
Sprache Englisch
Identifikator urn:nbn:de:swb:90-155557
KITopen-ID: 1000015555
Verlag KIT, Karlsruhe
Art der Arbeit Dissertation
Fakultät Fakultät für Physik (PHYSIK)
Institut Geophysikalisches Institut (GPI)
Prüfungsdaten 22.01.2010
Referent/Betreuer Prof. F. Wenzel
Schlagwörter earthquakes, early warning, real-time seismology
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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