Articles | Volume 7, issue 6
https://doi.org/10.5194/se-7-1591-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-1591-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Nov 2016
Research article |
| 29 Nov 2016
The imprint of crustal density heterogeneities on regional seismic wave propagation
Department of Earth Sciences, Utrecht University, Utrecht, the Netherlands
Nienke Blom
Department of Earth Sciences, Utrecht University, Utrecht, the Netherlands
Andreas Fichtner
Department of Earth Sciences, ETH Zurich, Zurich, Switzerland
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Cited
13 citations as recorded by crossref.
- On seismic gradiometric wave equation inversion for density M. Faber & A. Curtis https://doi.org/10.1093/gji/ggae097
- Simultaneous inversion for S-wave velocity and density from the SV-SV wave F. Zhang https://doi.org/10.1190/geo2020-0112.1
- WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations A. Rodgers et al. https://doi.org/10.1029/2022JB024549
- Elastic full-waveform inversion and parametrization analysis applied to walk-away vertical seismic profile data for unconventional (heavy oil) reservoir characterization W. Pan et al. https://doi.org/10.1093/gji/ggy087
- Inversion of the reflected SV-wave for density and S-wave velocity structures F. Zhang & X. Li https://doi.org/10.1093/gji/ggaa096
- Seismic waveform tomography of the central and eastern Mediterranean upper mantle N. Blom et al. https://doi.org/10.5194/se-11-669-2020
- Full Waveform Inversion Beneath the Central Andes: Insight Into the Dehydration of the Nazca Slab and Delamination of the Back‐Arc Lithosphere Y. Gao et al. https://doi.org/10.1029/2021JB021984
- CANVAS: An Adjoint Waveform Tomography Model of California and Nevada C. Doody et al. https://doi.org/10.1029/2023JB027583
- Probabilistic multiparameter Backus–Gilbert method—Application to density inversion N. Kaplunov et al. https://doi.org/10.1093/gji/ggae430
- Adjoint Waveform Tomography for Crustal and Upper Mantle Structure of the Middle East and Southwest Asia for Improved Waveform Simulations Using Openly Available Broadband Data A. Rodgers et al. https://doi.org/10.1785/0120230248
- Synthetic inversions for density using seismic and gravity data N. Blom et al. https://doi.org/10.1093/gji/ggx076
- Interparameter trade-off quantification and reduction in isotropic-elastic full-waveform inversion: synthetic experiments and Hussar land data set application W. Pan et al. https://doi.org/10.1093/gji/ggy037
- Porosity estimation based on the shear modulus inversion of seismic shear wave F. Dai et al. https://doi.org/10.1190/geo2023-0618.1
13 citations as recorded by crossref.
- On seismic gradiometric wave equation inversion for density M. Faber & A. Curtis https://doi.org/10.1093/gji/ggae097
- Simultaneous inversion for S-wave velocity and density from the SV-SV wave F. Zhang https://doi.org/10.1190/geo2020-0112.1
- WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations A. Rodgers et al. https://doi.org/10.1029/2022JB024549
- Elastic full-waveform inversion and parametrization analysis applied to walk-away vertical seismic profile data for unconventional (heavy oil) reservoir characterization W. Pan et al. https://doi.org/10.1093/gji/ggy087
- Inversion of the reflected SV-wave for density and S-wave velocity structures F. Zhang & X. Li https://doi.org/10.1093/gji/ggaa096
- Seismic waveform tomography of the central and eastern Mediterranean upper mantle N. Blom et al. https://doi.org/10.5194/se-11-669-2020
- Full Waveform Inversion Beneath the Central Andes: Insight Into the Dehydration of the Nazca Slab and Delamination of the Back‐Arc Lithosphere Y. Gao et al. https://doi.org/10.1029/2021JB021984
- CANVAS: An Adjoint Waveform Tomography Model of California and Nevada C. Doody et al. https://doi.org/10.1029/2023JB027583
- Probabilistic multiparameter Backus–Gilbert method—Application to density inversion N. Kaplunov et al. https://doi.org/10.1093/gji/ggae430
- Adjoint Waveform Tomography for Crustal and Upper Mantle Structure of the Middle East and Southwest Asia for Improved Waveform Simulations Using Openly Available Broadband Data A. Rodgers et al. https://doi.org/10.1785/0120230248
- Synthetic inversions for density using seismic and gravity data N. Blom et al. https://doi.org/10.1093/gji/ggx076
- Interparameter trade-off quantification and reduction in isotropic-elastic full-waveform inversion: synthetic experiments and Hussar land data set application W. Pan et al. https://doi.org/10.1093/gji/ggy037
- Porosity estimation based on the shear modulus inversion of seismic shear wave F. Dai et al. https://doi.org/10.1190/geo2023-0618.1
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Imaging the inside of the Earth requires knowledge of how the Earth's properties affect seismic recordings. However, certain properties, such as density, affect seismograms in a way that is not fully known. Using numerical simulations, we can calculate a synthetic seismogram for a medium with and without density heterogeneities, and then compare the two signals. That way, we quantify the density effect on a seismogram. We also show that it is visible and growing as the wavefield gets scattered.
Imaging the inside of the Earth requires knowledge of how the Earth's properties affect seismic...
