Publication Date:
2013-06-08
Description:
The joint inversion of receiver function (RF) and surface-wave dispersion data is popular because it reduces the nonuniqueness of the modeled subsurface-seismic velocities. Whereas various inverse procedures have been used in joint subsurface imaging, the evaluation of uncertainties in the estimated parameter distribution is usually overlooked or considered qualitatively. We present a quantitative method for determination of uncertainty in velocity models estimated by the joint inversion of RF and surface-wave data by using the prediction of each observation sample to map the objective-function surface and create a statistical distribution of estimated model parameters. The proposed methodology is evaluated in a controlled test using synthetic data simulating a realistic shear-wave velocity model. We then apply the method to field data recorded at the POPB seismic station in the Paraná Basin, southeast Brazil. The respective range of uncertainty for modeled S -wave velocity distributions in the synthetic and field tests were 0.111–0.412 km/s (2.5%–9.2%), and 0.110–0.341 km/s (2.5%–7.9%).
Print ISSN:
0037-1106
Electronic ISSN:
1943-3573
Topics:
Geosciences
,
Physics
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