Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16483
Authors: Bindi, Dino* 
Spallarossa, Daniele* 
Picozzi, Matteo* 
Oth, Adrien* 
Morasca, Paola* 
Mayeda, Kevin* 
Title: The Community Stress-Drop Validation Study—Part II: Uncertainties of the Source Parameters and Stress Drop Analysis
Journal: Seismological Research Letters 
Series/Report no.: 4/94 (2023)
Publisher: Seismological Society of America
Issue Date: 2023
DOI: 10.1785/0220230020
Abstract: 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.
Description: This paper is the second part of a previous publication (Bindi et al. 2023 DOI: 10.1785/0220230019). All the decompositions of part 1 are organized in a sort of logic tree and mixed-effect regressions are performed to partition the variability into contributions related to duration, attenuation and site-constraint grouping factors. Statistical uncertainties computed in part 1 (i.e., coming from the fit) are compared with epistemic uncertainties associated to the logic tree, and Sammon's maps are used to visualize the impact of the grouping factors on the overall shape of the source spectra.
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