Back to results

Universität Potsdam

1D shallow sedimentary subsurface imaging using ambient noise and active seismic data

Abstract

dc:description.abstract

The Earth’s shallow subsurface with sedimentary cover acts as a waveguide to any incoming wavefield. Within the framework of my thesis, I focused on the characterization of this shallow subsurface within tens to few hundreds of meters of sediment cover. I imaged the seismic 1D shear wave velocity (and possibly the 1D compressional wave velocity). This information is not only required for any seismic risk assessment, geotechnical engineering or microzonation activities, but also for exploration and global seismology where site effects are often neglected in seismic waveform modeling. First, the conventional frequency-wavenumber (f - k) technique is used to derive the dispersion characteristic of the propagating surface waves recorded using distinct arrays of seismometers in 1D and 2D configurations. Further, the cross-correlation technique is applied to seismic array data to estimate the Green’s function between receivers pairs combination assuming one is the source and the other the receiver. With the consideration of a 1D media, the estimated cross-correlation Green’s functions are sorted with interstation distance in a virtual 1D active seismic experiment. The f - k technique is then used to estimate the dispersion curves. This integrated analysis is important for the interpretation of a large bandwidth of the phase velocity dispersion curves and therefore improving the resolution of the estimated 1D Vs profile. Second, the new theoretical approach based on the Diffuse Field Assumption (DFA) is used for the interpretation of the observed microtremors H/V spectral ratio. The theory is further extended in this research work to include not only the interpretation of the H/V measured at the surface, but also the H/V measured at depths and in marine environments. A modeling and inversion of synthetic H/V spectral ratio curves on simple predefined geological structures shows an almost perfect recovery of the model parameters (mainly Vs and to a lesser extent Vp). These results are obtained after information from a receiver at depth has been considered in the inversion. Finally, the Rayleigh wave phase velocity information, estimated from array data, and the H/V(z, f) spectral ratio, estimated from a single station data, are combined and inverted for the velocity profile information. Obtained results indicate an improved depth resolution in comparison to estimations using the phase velocity dispersion curves only. The overall estimated sediment thickness is comparable to estimations obtained by inverting the full micortremor H/V spectral ratio.

Degree

thesis:*
Level thesis:degree_level
thesis.doctoral
Grantor dc:publisher
Universität Potsdam
Year
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lontsi, Agostiny Marrios
Contributors dc:contributor
  • Krüger, Frank

Subjects

dc:subject × 17

Rights

dc:rights
Statement dc:rights
  • Keine öffentliche Lizenz: Unter Urheberrechtsschutz

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:kobv.de-opus4-uni-potsdam:10380

Chain of custody

source
Harvested from
Universität Potsdam - Diss
Base URL
publishup.uni-potsdam.de/opus4-ubp/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Lontsi, Agostiny Marrios. 1D shallow sedimentary subsurface imaging using ambient noise and active seismic data. thesis.doctoral thesis, Universität Potsdam, 2017. https://publishup.uni-potsdam.de/frontdoor/index/index/docId/10380