As part of the community stress-drop validation study, we evaluate the uncertainties of seismic moment M0 and corner frequency f, for earthquakes of the 2019 Ridgecrest sequence. Source spectra were obtained in the companion article by applying the spec-tral decomposition approach with alternative processing and model assumptions. The objective of the present study is twofold: first, to quantify the impact of different assumptions on the source parameters; and second, to use the distribution of values obtained with different assumptions to estimate an epistemic contribution to the uncer-tainties. Regarding the first objective, we find that the choice of the attenuation model has a strong impact on f, results: by introducing a depth-dependent attenuation model, f, estimates of events shallower than 6 km increase of about 10%. Also, the duration of the window used to compute the Fourier spectra show an impact on f,: the average ratio between the estimates for 20 s duration to those for 5 s decreases from 1.1 for Mw < 3 to 0.66 for Mw > 4.5. For the second objective, we use a mixed-effect regres-sion to partition the intraevent variability into duration, propagation, and site contri-butions. The standard deviation & phi; of the intraevent residuals for log (f,) is 0.0635, corresponding to a corner frequency ratio 102 & phi; = 1.33. When the intraevent variability is compared to uncertainties on log (f,), we observe that 2 & phi; is generally larger than the 95% confidence interval of log (f,), suggesting that the uncertainty of the source parameters provided by the fitting procedure might underestimate the model-related (epistemic) uncertainty. Finally, although we observe an increase of log (& UDelta;& sigma;) with log (M0) regardless of the model assumptions, the increase of & UDelta;& sigma; with depth depends on the assumptions, and no significant trends are detected when depth-dependent attenuation and velocity values are considered.
The Community Stress-Drop Validation Study-Part II: Uncertainties of the Source Parameters and Stress Drop Analysis
Spallarossa, D;Picozzi, M;Morasca, P;
2023-01-01
Abstract
As part of the community stress-drop validation study, we evaluate the uncertainties of seismic moment M0 and corner frequency f, for earthquakes of the 2019 Ridgecrest sequence. Source spectra were obtained in the companion article by applying the spec-tral decomposition approach with alternative processing and model assumptions. The objective of the present study is twofold: first, to quantify the impact of different assumptions on the source parameters; and second, to use the distribution of values obtained with different assumptions to estimate an epistemic contribution to the uncer-tainties. Regarding the first objective, we find that the choice of the attenuation model has a strong impact on f, results: by introducing a depth-dependent attenuation model, f, estimates of events shallower than 6 km increase of about 10%. Also, the duration of the window used to compute the Fourier spectra show an impact on f,: the average ratio between the estimates for 20 s duration to those for 5 s decreases from 1.1 for Mw < 3 to 0.66 for Mw > 4.5. For the second objective, we use a mixed-effect regres-sion to partition the intraevent variability into duration, propagation, and site contri-butions. The standard deviation & phi; of the intraevent residuals for log (f,) is 0.0635, corresponding to a corner frequency ratio 102 & phi; = 1.33. When the intraevent variability is compared to uncertainties on log (f,), we observe that 2 & phi; is generally larger than the 95% confidence interval of log (f,), suggesting that the uncertainty of the source parameters provided by the fitting procedure might underestimate the model-related (epistemic) uncertainty. Finally, although we observe an increase of log (& UDelta;& sigma;) with log (M0) regardless of the model assumptions, the increase of & UDelta;& sigma; with depth depends on the assumptions, and no significant trends are detected when depth-dependent attenuation and velocity values are considered.
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