Localization of ocean seismic noise

Localization of ocean seismic noise

den Ouden, Olivier (TU Delft Civil Engineering & Geosciences)

Evers, L.G. (mentor)
Smets, P.S.M. (mentor)
Slob, E.C. (graduation committee)
Smets, Pieter S.M. (graduation committee)
Wellmann, Florian (graduation committee)

Delft University of Technology
ETH Zürich
Rheinisch-Westfälische Technische Hochschule

Applied Geophysics

2018-08-31

All over the world a so called oceanic 'hum' can be recorded, dominating the ambient noise field. The hum is generated by nonlinear interaction of ocean surface waves, radiating acoustic signals in the atmosphere and water (named microbaroms), and coupling to the solid earth as microseisms. The hum can be generated by local near-coastal sources and distant deep ocean sources. Deep oceanic generated 'hum' occurs within the range 0.1-0.3 Hz, dominantly around 0.2 Hz. The near-coastal generated 'hum' occurs at higher frequencies. Microseisms are mainly recorded as surface waves corresponding to near coastal activities. These surface waves overwhelm the weaker deep ocean signals, body and surface waves, because they attenuate less due to the shorter travel path. Previous studies are done with individual 3-component sensors, thus spectral data of all kind of microseisms, or for teleseismic distances only. This study of deep ocean microseisms is done by seismic arrays to analyze regional microseisms. Arrays provide more information about the microseisms by applying beamforming. This enables an improved localization of the source area, in specific near coastal activity or deep ocean generated. To validate the observed results a comparison with the numerical simulated source area is be made. Denote that the use of seismic arrays requires verification on the performance of arrays due to local conditions (sensitivity variances) to find possible deviations regarding the back azimuth. It is shown that, using classical beamforming, the recordings are dominated by near coastal surface waves. Applying adaptive beamforming using multiple signal classification, also other events become visible in the f-k spectrum. Due to this method an improved deep ocean source area is obtained. This observed source area agrees with the simulated source area. Improving the localization requires to define array correction factors.

Ambient noise
Microseisms
Phase distinction
Seismic arrays
Beamforming
Localization
Seismic array corrections
Numerical source modeling

http://resolver.tudelft.nl/uuid:c39f40d1-6d74-4ea2-9f46-2c57fb0bdcf0

Student theses

master thesis

© 2018 Olivier den Ouden