Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 48 min ago
Peer-reviewedCC BY 4.0Geophysical Journal International

Three-dimensional numerical simulation of ambient seismic noise for arbitrary surface source distributions: application to the study of horizontal-to-vertical spectral ratios and their variability

Abstract

We present a comprehensive numerical investigation of the sensitivity of horizontal-to-vertical spectral ratio ( H/V ) measurements of ambient seismic noise to the spatial distribution of noise sources and to strong lateral structural contrasts. Our approach relies on the computation of realistic 3-D viscoelastic Green's functions between a dense set of potential surface sources and a few surface receivers, allowing the synthesis of ambient noise wavefields corresponding to arbitrary spatio-temporal source distributions. The study focuses on a simplified 3-D representation of the Mygdonian Basin (northern Greece), where significant temporal variations of H/V amplitude, polarization and peak frequency have been observed at a site located near a blind fault. Comparisons between the synthetic H/V and the predictions of the elastic Diffuse Field Theory (DFT) show good agreement under isotropic source conditions, confirming the usefulness of DFT as a reference framework in diffuse or quasi-diffuse regimes. However, attenuation, lateral heterogeneities and uneven source distributions lead to substantial deviations from DFT predictions. We find that source-related effects can dominate both amplitude and polarization patterns, sometimes masking the structural signature of the fault. Nevertheless, the simulations reveal robust spatial trends of H/V polarization relative to the fault geometry, suggesting that polarization mapping may help identify lateral heterogeneities when combined with dense, long-duration measurements. Our framework provides a physically consistent way to test the limits of the diffuse field assumption and to explore the applicability of ambient noise-based observables in complex geological environments

Related

  1. Spatial variability of soil texture fractal dimension and its application in sponge city construction
    Jianjun Wang, Zhaolin Lu, Jian Tang +7
    PLOS OnePeer-reviewedCC BY 4.0Full textEvolutionary biologyHydrology & soilsPLOS
  2. Three-Dimensional Simulation of Lake Ontario North-Shore Hydrodynamics and Contaminant Transport
    Shastri Paturi, Leon Boegman, Damien Bouffard +1
    Journal of Hydraulic EngineeringPeer-reviewedLicence not stated20 citedEnvironmental science & pollutionHAL
  3. Three-Dimensional Simulation of Flood Propagation at Syabrubesi, Nepal
    Rainald Löhner, Harbir Antil
    arXivPreprintarXiv licenceFull textGeophysics & seismologyFluid dynamicsarXiv
  4. A Likelihood‐Free Framework for Seismic Forecasting Models: Application to Incomplete ETAS Model via Simulation‐Based Inference
    P. Bountzis, G. Petrillo, E. Lippiello
    Journal of Geophysical Research : Solid EarthPeer-reviewedCC BY 4.0Full textGeophysics & seismologyHAL
  5. A One-Dimensional Framework for Three-Phase Flow in Immiscible and Near-Miscible CO2 Injection: Application to Enhanced Oil Recovery and CO2 Storage
    Oranan Ariyarit, Martin J Blunt
    EarthArXivPreprintCC BY 4.0Full textGeneral earth scienceEarthArXiv
BibTeX
@article{gregor2026threedimensional,
  title = {{Three-dimensional numerical simulation of ambient seismic noise for arbitrary surface source distributions: application to the study of horizontal-to-vertical spectral ratios and their variability}},
  author = {David Gregor and Emmanuel Chaljub and Marc Wathelet and Fabrice Hollender and Vincent Perron and Florent de Martin},
  journal = {Geophysical Journal International},
  year = {2026},
  month = sep,
  doi = {10.1093/gji/ggag348},
  url = {https://brgm.hal.science/hal-05761116v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Three-dimensional numerical simulation of ambient seismic noise for arbitrary surface source distributions: application to the study of horizontal-to-vertical spectral ratios and their variability
AU  - David Gregor
AU  - Emmanuel Chaljub
AU  - Marc Wathelet
AU  - Fabrice Hollender
AU  - Vincent Perron
AU  - Florent de Martin
PY  - 2026
DA  - 2026/09/23
JO  - Geophysical Journal International
DO  - 10.1093/gji/ggag348
UR  - https://brgm.hal.science/hal-05761116v1
AB  - We present a comprehensive numerical investigation of the sensitivity of horizontal-to-vertical spectral ratio ( H/V ) measurements of ambient seismic noise to the spatial distribution of noise sources and to strong lateral structural contrasts. Our approach relies on the computation of realistic 3-D viscoelastic Green's functions between a dense set of potential surface sources and a few surface receivers, allowing the synthesis of ambient noise wavefields corresponding to arbitrary spatio-temporal source distributions. The study focuses on a simplified 3-D representation of the Mygdonian Basin (northern Greece), where significant temporal variations of H/V amplitude, polarization and peak frequency have been observed at a site located near a blind fault. Comparisons between the synthetic H/V and the predictions of the elastic Diffuse Field Theory (DFT) show good agreement under isotropic source conditions, confirming the usefulness of DFT as a reference framework in diffuse or quasi-diffuse regimes. However, attenuation, lateral heterogeneities and uneven source distributions lead to substantial deviations from DFT predictions. We find that source-related effects can dominate both amplitude and polarization patterns, sometimes masking the structural signature of the fault. Nevertheless, the simulations reveal robust spatial trends of H/V polarization relative to the fault geometry, suggesting that polarization mapping may help identify lateral heterogeneities when combined with dense, long-duration measurements. Our framework provides a physically consistent way to test the limits of the diffuse field assumption and to explore the applicability of ambient noise-based observables in complex geological environments
SN  - 0956-540X
SN  - 1365-246X
ER  -