An array analysis of seismic surface waves

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Presentation transcript:

An array analysis of seismic surface waves James Gaherty and Ge Jin LDEO Columbia University

Thoughts and Overview Surface-waves from earthquake sources provide powerful tool for probing upper mantle structure beneath arrays Good depth resolution Constrain both absolute and relative velocity Sensitive to anisotropy and attenuation Energetic and coherent wavefield amenable to array analysis Longest wavelength: outer aperture of array Shortest wavelength: ~ interstation spacing Challenges associated with: dispersive character propagation complexity (wavefield heterogeneity) Examples: USArray Transportable Array Small regional PASSCAL arrays

Problem: Near-receiver imaging using surface waves Traditional approach measures travel time or velocities from source to receiver Mostly sensitive to source- receiver path Desired information contained in interstation variability Nearby waveforms very similar Exploit using multichannel crosscorrelation

Problem: Near-receiver imaging using surface waves Approach Automatic GSDF Method Multi-channel cross correlation to extract frequency-dependent relative phase and amplitude variations Phase gradiometry Invert phase variations for 2D variations in dynamic phase velocity -- Eikonal tomography Amplitude Correction Utilize amplitude variations to correct estimate true structural phase velocity from dynamic phase velocity – Helmholtz tomography

Automatic GSDF Method Real Waveform Cross Correlation Narrow-Band Filter Real Waveform From nearby Stations Wavelet Fitting Amplitude Similarity – reduce measurement uncertainty Minimal cycle skipping Multichannel – measurement redundancy Phase Delay Difference Group Delay Difference

Processing Example: Original Waveforms

Processing Example: Cross-Correlation Waveforms

Processing Example: Wavelet Fitting Real Data Fitting Wavelet

Redundant Time Difference Measurement Get rid of bad measurement

Phase Velocity Inversion Eikonal Tomography Phase difference Between Stations Apparent Phase Velocity Amplitude Correction Event Stacking Averaged Phase Velocity Event Stacking Structure Phase Velocity Averaged Apparent Phase Velocity

Phase Gradiometry Travel Time Surface Apparent Phase Velocity Eikonal Tomography Lin et al.,2009

Eikonal Tomography From Phase Difference to Phase Velocity Observations: Modeled as: Invert for slowness variations S(x,y) with a penalty function

Eikonal Tomography 2 Event: 200806171742 Period: 60s

Focusing Effect Propagation Direction Anomaly Amplitude Mention the amplitude first

Amplitude Correction of Phase Velocity Real Corrected Uncorrected Friederich et al. 2000

Single Event 1

Single Event 2

Multi-Event Average http://www.LDEO.columbia.edu/~ge.jin

Small PASSCAL Array Rayleigh 32 Seconds

Small PASSCAL Array Rayleigh 50 Seconds

Thoughts on Array Design for Upper Mantle Imaging Surface waves provide critical constraints on upper-mantle structure Period range of interest 20-200 s – wavelengths of 80-800 km – maybe don’t need all of this, but the bigger the better Even spatial coverage in 2D for wavefield analysis Interstation spacing likely less critical than other (body-wave) needs? Oversampling is good however. Broadband is important! Common instruments (or at least well calibrated) – need accurate instrument response for cross-correlation and amplitude analyses