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Urban Noise Tomography in Athens, Greece, using Distributed Acoustic Sensing (DAS)

Urheber*innen

Bowden,  Daniel
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Tian,  Lu
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Wang,  Yuhan
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Smolinski,  Krystyna
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Fichtner,  Andreas
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Bogris,  Adonis
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Nikas,  Thomas
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Lentas,  Konstantinos
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Melis,  Nikolaos S.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Simos,  Christos
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Simos,  Iraklis
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Bowden, D., Tian, L., Wang, Y., Smolinski, K., Fichtner, A., Bogris, A., Nikas, T., Lentas, K., Melis, N. S., Simos, C., Simos, I. (2023): Urban Noise Tomography in Athens, Greece, using Distributed Acoustic Sensing (DAS), XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3439


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019491
Zusammenfassung
We use 24 km of telecommunications fiber in Athens, Greece, to explore the use of ambient noise correlations and the construction of a shallow 2D velocity model. Models of the shallow subsurface are especially important for hazard and site-response characterisation, yet traditional measurement campaigns in dense, urban environments can be challenging. Using pre-existing telecommunications fiber provides an efficient and easy way to construct such high-resolution models.The fiber was provided by the Hellenic Telecommunications Organization (OTE), over 36 days in the Autumn of 2021, and in cooperation with the National Observatory of Athens (NOA). Using a Silixa iDAS interrogator, we measure strain-rates every 4 meters along the fiber to provide dense observations of wave propagation. Strong anthropogenic noise gives clear Rayleigh-wave signals in cross-correlations in the frequency band of 5-30 Hz. We discuss our efforts to efficiently stack multiple virtual sources’ record sections and construct dispersion curves. We then invert for numerous 1D velocity profiles of the top ~100 m, comparing different approaches, and finally present a 2D model over the entire line.