SM5.1 | Ambient Seismic Noise and Seismic Interferometry
EDI
Ambient Seismic Noise and Seismic Interferometry
Convener: Qing-Yu WangECSECS | Co-conveners: Peter Makus, Pilar Sánchez Sánchez-Pastor, Fabrizio Magrini, Yang Lu

Interferometric techniques turn seismic networks into observatories continuously monitoring the Earth’s dynamic processes, including time-varying structures, volcanic and hydrologic activity, and ocean-solid Earth interactions. The application of these techniques has expanded to signals beyond ocean microseismic noise, capturing seismic energy from other natural and anthropogenic sources.

Great strides have been taken in obtaining high-resolution images of seismic velocity and other elastic/rock physics properties, identifying and quantifying the sources of various ambient noise wave types, and interpreting seismic property variations. However, challenges persist, such as using signals from suboptimally situated sources like urban noise or ambient noise body waves from localized storms, interpreting the seismic ambient field’s polarization, and analyzing ambient noise amplitudes for elastic effects and anelastic attenuation. Additionally, the spatial localization of seismic property changes and the implementation of spatial wavefield gradient measurements using advanced sensors, such as fiber optic or rotational sensors, present ongoing challenges.

This session invites discussions on recent advances in ambient noise seismology and seismic interferometry, including both theoretical and numerical developments, as well as novel applications and observational studies. We welcome studies on topics including, but not limited to, ambient seismic sources, ocean wave quantification through ambient noise, urban seismic noise, interferometric imaging, monitoring subsurface properties, and assessing subsurface deformation under both internal (e.g., earthquake, volcanic, slow movements, etc.) and external forces (e.g., tidal effects, environmental effects, anthropogenic effects, etc.). Additional topics of interest include spatial sensitivity studies for imaging and monitoring under diverse source conditions, quantification of site effects, amplification, and attenuation, AI-based signal processing, and interdisciplinary applications of seismic interferometry.

Interferometric techniques turn seismic networks into observatories continuously monitoring the Earth’s dynamic processes, including time-varying structures, volcanic and hydrologic activity, and ocean-solid Earth interactions. The application of these techniques has expanded to signals beyond ocean microseismic noise, capturing seismic energy from other natural and anthropogenic sources.

Great strides have been taken in obtaining high-resolution images of seismic velocity and other elastic/rock physics properties, identifying and quantifying the sources of various ambient noise wave types, and interpreting seismic property variations. However, challenges persist, such as using signals from suboptimally situated sources like urban noise or ambient noise body waves from localized storms, interpreting the seismic ambient field’s polarization, and analyzing ambient noise amplitudes for elastic effects and anelastic attenuation. Additionally, the spatial localization of seismic property changes and the implementation of spatial wavefield gradient measurements using advanced sensors, such as fiber optic or rotational sensors, present ongoing challenges.

This session invites discussions on recent advances in ambient noise seismology and seismic interferometry, including both theoretical and numerical developments, as well as novel applications and observational studies. We welcome studies on topics including, but not limited to, ambient seismic sources, ocean wave quantification through ambient noise, urban seismic noise, interferometric imaging, monitoring subsurface properties, and assessing subsurface deformation under both internal (e.g., earthquake, volcanic, slow movements, etc.) and external forces (e.g., tidal effects, environmental effects, anthropogenic effects, etc.). Additional topics of interest include spatial sensitivity studies for imaging and monitoring under diverse source conditions, quantification of site effects, amplification, and attenuation, AI-based signal processing, and interdisciplinary applications of seismic interferometry.