Broadband seismic noise [Elektronische Ressource] : classification and Green's function estimation / von Jörn Christoffer Groos

Broadband Seismic Noise: Classification and Green‟s Function Estimati on Zur Erlangung des akademischen Grades eines DOKTORS DER NATURWISSENSCHAFTEN von der Fakultät für Physik des Karlsruher Instituts für Technologie (KIT) genehmigte DISSERTATION von Diplom-Geophysiker Jörn Christoffer Groos aus Mannheim Tag der mündlichen Prüfung: 3. Dezember 2010 Referent: PD Dr. Joachim Ritter Korreferent: Prof. Dr. Friedemann Wenzel ‘Noise is that part of the data that we choose not to explain.’ Scales & Snieder (1998) Abstract Several efforts are undertaken in seismology to turn ambient seismic noise into signal. A key motivation for this approach is to overcome obstacles hampering established methods of active source and passive earthquake seismology. Techniques based on seismic noise are independent from earthquake activity or active seismic sources. This is a significant advantage in areas where the natural seismicity is low and/or where active seismic sources (explosions, large vibrators) can‟t be used. Passive seismic mno eaise sure ments can be conducted also in sensitive areas such as city centres and nature reserves due to their low environmental impact. Seismic noise is a low-cost and easy-to-measure signal which is available everywhere and at every time.