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Denoising of Rayleigh Waves to improve DAS processing of urban noise

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/persons/resource/leila

Ehsaninezhad,  Leila
2.2 Geophysical Imaging of the Subsurface, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/wollin

Wollin,  Christopher
2.2 Geophysical Imaging of the Subsurface, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/zali

Zali,  Zahra
4.2 Geomechanics and Scientific Drilling, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/lotte

Krawczyk,  C.M.
2.2 Geophysical Imaging of the Subsurface, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Ehsaninezhad, L., Wollin, C., Zali, Z., Krawczyk, C. (2023): Denoising of Rayleigh Waves to improve DAS processing of urban noise, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3793


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020752
Zusammenfassung
Seismic methods have been widely used to image the subsurface for geological characterization and exploration. Due to the limitation of active experiments in populated areas, methods tapping the existing ambient noise as a source of excitation have gained increasing attention. The combination of this approach with Distributed Acoustic Sensing (DAS) is particularly appealing as vast telecommunication networks can potentially be used as sensors. However, seismic noise in urban areas is complex. Usually it is of anthropogenic nature and dominated by traffic. To extract coherent signals from recorded noise, the acquisition of long time series associated with high computational costs is required. In the study presented, we analyzed the cultural noise along an urban road in Berlin. DAS data was collected at a spatial period of 8 m and a temporal frequency of 1000 Hz along a 3-km long segment of a dark telecommunication fiber. The recorded noise contains transient signals with frequencies between 1 and 40 Hz attributable to the passage of trains. As these signals inhibit the extraction of coherent Rayleigh Waves, we applied a denoising method based on the harmonic-percussive separation technique prior to the standard ambient noise pre-processing (data decimation, band pass filtering, temporal and spectral normalization, cross-correlation) . We compare processing results with and without denoising and conclude that our approach leverages the recorded data better and yields improved virtual shot gathers . This implies the possibility to conduct shorter campaigns for acquiring equivalent results with respect to ambient noise analysis.