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The Community Stress-Drop Validation Study—Part II: Uncertainties of the Source Parameters and Stress Drop Analysis

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Bindi,  Dino
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Spallarossa,  Daniele
External Organizations;

Picozzi,  Matteo
External Organizations;

Oth,  Adrien
External Organizations;

Morasca,  Paola
External Organizations;

Mayeda,  Kevin
External Organizations;

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Zitation

Bindi, D., Spallarossa, D., Picozzi, M., Oth, A., Morasca, P., Mayeda, K. (2023 online): The Community Stress-Drop Validation Study—Part II: Uncertainties of the Source Parameters and Stress Drop Analysis. - Seismological Research Letters.
https://doi.org/10.1785/0220230020


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018239
Zusammenfassung
As part of the community stress-drop validation study, we evaluate the uncertainties of seismic moment M0 and corner frequency fc for earthquakes of the 2019 Ridgecrest sequence. Source spectra were obtained in the companion article by applying the spectral 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 uncertainties. Regarding the first objective, we find that the choice of the attenuation model has a strong impact on fc results: by introducing a depth-dependent attenuation model, fc 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 fc: 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 regression to partition the intraevent variability into duration, propagation, and site contributions. The standard deviation ϕ of the intraevent residuals for log fc is 0.0635, corresponding to a corner frequency ratio 102ϕ  1:33. When the intraevent variability is compared to uncertainties on log fc, we observe that 2ϕ is generally larger than the 95% confidence interval of log fc, 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 Δσ with log M0 regardless of the model assumptions, the increase of Δσ with depth depends on the assumptions, and no significant trends are detected when depth-dependent attenuation and velocity values are considered.