TY - JOUR
T1 - Seismic Ambient Noise Analyses Reveal Changing Temperature and Water Signals to 10s of Meters Depth in the Critical Zone
AU - Oakley, David O.S.
AU - Forsythe, Brandon
AU - Gu, Xin
AU - Nyblade, Andrew A.
AU - Brantley, Susan L.
N1 - Funding Information:
We thank the Incorporated Research Institutes for Seismology (IRIS) for providing the nodal seismometers, and Kyle Homman, Erica Lucas, and Lisa Ma for help with field work. We thank Charles Ammon for helpful conversations about surface wave analysis and Yuning Shi, David Eissenstat, Yuting He, and Qicheng Tang for discussions of critical zone processes. This research was conducted in Penn State's Stone Valley Forest, which is funded by the Penn State College of Agriculture Sciences, Department of Ecosystem Science and Management, and managed by the staff of the Forestlands Management Office. Financial support was provided by the Sensors in the Soils program (SitS) at the National Science Foundation Grant EAGER SitS #EAR 18‐41568 to SLB. Funding for the CZO derives from NSF Critical Zone Observatory grants EAR 12‐39285 and 13‐31726 to SLB. Funding for some of the seismic measurements were provided by DOE OBES DE‐FG02‐05ER15675. We thank Marine Denolle, two anonymous reviewers, and the editors for their comments, which have significantly improved this manuscript.
Funding Information:
We thank the Incorporated Research Institutes for Seismology (IRIS) for providing the nodal seismometers, and Kyle Homman, Erica Lucas, and Lisa Ma for help with field work. We thank Charles Ammon for helpful conversations about surface wave analysis and Yuning Shi, David Eissenstat, Yuting He, and Qicheng Tang for discussions of critical zone processes. This research was conducted in Penn State's Stone Valley Forest, which is funded by the Penn State College of Agriculture Sciences, Department of Ecosystem Science and Management, and managed by the staff of the Forestlands Management Office. Financial support was provided by the Sensors in the Soils program (SitS) at the National Science Foundation Grant EAGER SitS #EAR 18-41568 to SLB. Funding for the CZO derives from NSF Critical Zone Observatory grants EAR 12-39285 and 13-31726 to SLB. Funding for some of the seismic measurements were provided by DOE OBES DE-FG02-05ER15675. We thank Marine Denolle, two anonymous reviewers, and the editors for their comments, which have significantly improved this manuscript.
Publisher Copyright:
© 2021. American Geophysical Union. All Rights Reserved.
PY - 2021/2
Y1 - 2021/2
N2 - The critical zone sustains terrestrial life, but we have few tools to explore it efficiently beyond the first few meters of the subsurface. Using analyses of high-frequency ambient seismic noise from densely spaced seismometers deployed in the forested Shale Hills subcatchment of the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO), we show that temporal changes in seismic velocities at depths from ∼1 m to tens of m can be detected. These changes are driven by variations at the land surface. The Moving-Window Cross-Spectral (MWCS) method was employed to measure seismic-velocity changes in coda waves at hourly resolution in 10 different frequency bands. We observed a diurnal signal, a seasonal signal, and a meteorological-event-based signal. These signals were compared to time-series measurements of precipitation, well water levels, soil moisture, soil temperature, air temperature, latent heat flux, and air pressure in the heavily instrumented catchment. Most of the velocity changes can be explained by variations in temperature that result in thermoelastic strains that propagate to depth. But some double minima in seismic velocity time-series observed after large rain events were attributed in part to the effects of water infiltration. These results show that high-frequency ambient noise data may in some locations be used to detect changes in the critical zone from ∼1 to ∼100 m or greater depth with hourly resolution. But interpretation of such data requires multiple environmental data sets to deconvolve the complex interrelationships among thermoelastic and hydrological effects in the subsurface critical zone.
AB - The critical zone sustains terrestrial life, but we have few tools to explore it efficiently beyond the first few meters of the subsurface. Using analyses of high-frequency ambient seismic noise from densely spaced seismometers deployed in the forested Shale Hills subcatchment of the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO), we show that temporal changes in seismic velocities at depths from ∼1 m to tens of m can be detected. These changes are driven by variations at the land surface. The Moving-Window Cross-Spectral (MWCS) method was employed to measure seismic-velocity changes in coda waves at hourly resolution in 10 different frequency bands. We observed a diurnal signal, a seasonal signal, and a meteorological-event-based signal. These signals were compared to time-series measurements of precipitation, well water levels, soil moisture, soil temperature, air temperature, latent heat flux, and air pressure in the heavily instrumented catchment. Most of the velocity changes can be explained by variations in temperature that result in thermoelastic strains that propagate to depth. But some double minima in seismic velocity time-series observed after large rain events were attributed in part to the effects of water infiltration. These results show that high-frequency ambient noise data may in some locations be used to detect changes in the critical zone from ∼1 to ∼100 m or greater depth with hourly resolution. But interpretation of such data requires multiple environmental data sets to deconvolve the complex interrelationships among thermoelastic and hydrological effects in the subsurface critical zone.
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U2 - 10.1029/2020JF005823
DO - 10.1029/2020JF005823
M3 - Article
AN - SCOPUS:85101346231
SN - 2169-9003
VL - 126
JO - Journal of Geophysical Research: Earth Surface
JF - Journal of Geophysical Research: Earth Surface
IS - 2
M1 - e2020JF005823
ER -