Monitoring southwest Greenland’s ice sheet melt with ambient seismic noise

Mordret, Aurélien; Mikesell, T. Dylan; Harig, C.; Lipovsky, B. P.; Prieto, G. A.

doi:10.1126/sciadv.1501538

Cited by 91 publications

(102 citation statements)

References 59 publications

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“…This in turn corresponds to a velocity-strain sensitivity of 0.25% per microstrain, which compares well with results from literature for other environments (e.g., Mordret et al, 2016). We use strain as a function of depth calculated at 3 km radial distance from the point source, as this corresponds to the average station distance from the summit lava lake.…”

Section: Pressurization Of the South Caldera Reservoirsupporting

confidence: 78%

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Olivier

Brenguier

Carey

et al. 2019

Geophysical Research Letters

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The 2018 Kīlauea eruption was a complex event that included deformation and eruption at the summit and along the East Rift Zone. We use ambient seismic noise interferometry to measure time‐lapse changes in seismic velocity of the volcanic edifice prior to the lower East Rift Zone eruption. Our results show that seismic velocities increase in relation to gradual inflation of the edifice between 1 March and 20 April. In the 10 days prior to the 3rd of May eruption onset, a rapid seismic velocity decrease occurs even though the summit is still inflating. We confirm that intereruptive velocity change is correlated with surface deformation, while the velocity decrease prior to eruption is likely due to accumulating damage induced by the pressure exerted by the magma reservoir on the edifice. The accumulating damage and subsequent decrease in bulk edifice strength may have facilitated increased transport of magma from the summit reservoir to the Middle East Rift Zone.

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Section: Pressurization Of the South Caldera Reservoirsupporting

confidence: 78%

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Olivier

Brenguier

Carey

et al. 2019

Geophysical Research Letters

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“…An increase of surface loading from rain and snow may trigger pore fluid diffusion that increases pressure in fluid-filled cracks and consequently reduces seismic velocity (Mordret et al 2016). However, the same loading effect will also increase confining pressure at depth that can lead to an increase of seismic velocity by closing cracks (Hotovec-Ellis et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Response of hydrothermal system to stress transients at Lassen Volcanic Center, California, inferred from seismic interferometry with ambient noise

Taira

Brenguier

2016

Earth Planets Space

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Abstract:Time-lapse monitoring of seismic velocity at volcanic areas can provide unique insight into the property of hydrothermal and magmatic fluids and their temporal variability. We established a quasi real-time velocity monitoring system by using seismic interferometry with ambient noise to explore the temporal evolution of velocity in the Lassen Volcanic Center, Northern California. Our monitoring system finds temporal variability of seismic velocity in response to stress changes imparted by an earthquake and by seasonal environmental changes. Dynamic stress changes from a magnitude 5.7 local earthquake induced a 0.1 % velocity reduction at a depth of about 1 km. The seismic velocity susceptibility defined as ratio of seismic velocity change to dynamic stress change is estimated to be about 0.006 MPa −1 , which suggests the Lassen hydrothermal system is marked by high-pressurized hydrothermal fluid. By combining geodetic measurements, our observation shows that the long-term seismic velocity fluctuation closely tracks snowinduced vertical deformation without time delay, which is most consistent with an hydrological load model (either elastic or poroelastic response) in which surface loading drives hydrothermal fluid diffusion that leads to an increase of opening of cracks and subsequently reductions of seismic velocity. We infer that heated-hydrothermal fluid in a vapor-dominated zone at a depth of 2-4 km range is responsible for the long-term variation in seismic velocity

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“…The uppermost layer in each panel indicates a schematic aquifer system with a constant porosity. To detect seismic velocity changes, we compute correlations of ambient noise signals at seismic stations and measure perturbations in subsurface velocity (dv/v) using the "stretching" technique (Hadziioannou et al, 2009;Larose et al, 2015;Mordret et al, 2016). NB: dashed/solid traces are reference/individual correlograms (waveforms), respectively.…”

Section: Methodsmentioning

confidence: 99%

Groundwater Variations From Autocorrelation and Receiver Functions

Kim

Lekić

2019

Geophysical Research Letters

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Using a 20-year continuous broadband record and two independent single-station techniques -ambient noise autocorrelation and receiver functions-we document a relationship between subsurface seismic response and groundwater levels (GWLs) in the Gulf Coast Aquifer System of southern Texas. We find that a surge of GWL following three consecutive hurricanes and documented at an adjacent monitoring well is accompanied with changes in receiver function power spectra and ambient noise autocorrelations. Using a simple physical model, we show that GWL changes should affect P-(V P ) more strongly than S-wave (V S ) velocities, consistent with our observations and previous ones based on inter-station correlations. Agreement between receiver function and ambient noise analyses shows that both can be used to reliably estimate temporal changes in subsurface properties on long timescales. Due to their sensitivity to V P , single-station techniques respond more strongly to GWL changes, making them useful for characterizing and monitoring aquifer systems.Plain Language Summary Even though groundwater in large aquifer systems is often relied upon as a water source, it is one of the least well-known components of the hydrologic cycle. Here, we document a relationship between ground vibrations recorded by a seismometer and the groundwater levels in the Gulf Coast Aquifer System of southern Texas. We find that a surge of groundwater level following three consecutive hurricanes is accompanied with changes in the characteristics of seismic vibrations set-up in the shallow subsurface. Characteristics of vibrations due to both ambient noise and from earthquake show similar signals. Using a simple physical model, we show how groundwater level changes the properties of the subsurface to explain the seismic observations. Our work illustrates how even a single seismometer can be used to monitor groundwater level changes, which is particularly useful in aquifer systems lacking monitoring wells, and can complement other geophysical measurements from gravity or uplift/subsidence sensed data from satellites.

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Monitoring southwest Greenland’s ice sheet melt with ambient seismic noise

Abstract: Researchers monitor southwest Greenland’s ice sheet mass changes by measuring seismic velocity variations in Greenland’s crust.

Cited by 91 publications

References 59 publications

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Response of hydrothermal system to stress transients at Lassen Volcanic Center, California, inferred from seismic interferometry with ambient noise

Groundwater Variations From Autocorrelation and Receiver Functions

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