Poster #014, SCEC Community Models (CXM)
Parsimonious velocity inversion applied to the Los Angeles Basin, CA
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Poster Presentation
2021 SCEC Annual Meeting, Poster #014, SCEC Contribution #11625 VIEW PDF
ate which best explains the data is achieved.
To test this framework, we utilize the high-resolution data from the Community Seismic Network, a large 400-station permanent urban deployment. We inverted Love wave dispersion, derived from eikonal tomography of two-station cross-correlation travel-time delays, and relative amplification data from the Mw 6.4 July 3 and Mw 7.1 July 5 2019 Ridgecrest earthquakes. We invert for an update to CVM-S4.26 using the Tikhonov Ensemble Sampling scheme, a highly efficient derivative-free approximate Bayesian method. We find that the Ridgecrest Earthquake data is best explained by a deepening of the Los Angeles Basin (compared to the CVM-S4.26 reference model) with its deepest part just south of downtown Los Angeles, along with a substantially steeper northeastern wall of the basin. This result offers new progress towards the parsimonious incorporation of detailed local basin models within regional reference models utilizing an objective inverse-problem framework, and highlights the importance of accurate basin geometry models when accounting for the potentially significant amplification of surface waves from regional earthquakes in the high-rise building response band.
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To test this framework, we utilize the high-resolution data from the Community Seismic Network, a large 400-station permanent urban deployment. We inverted Love wave dispersion, derived from eikonal tomography of two-station cross-correlation travel-time delays, and relative amplification data from the Mw 6.4 July 3 and Mw 7.1 July 5 2019 Ridgecrest earthquakes. We invert for an update to CVM-S4.26 using the Tikhonov Ensemble Sampling scheme, a highly efficient derivative-free approximate Bayesian method. We find that the Ridgecrest Earthquake data is best explained by a deepening of the Los Angeles Basin (compared to the CVM-S4.26 reference model) with its deepest part just south of downtown Los Angeles, along with a substantially steeper northeastern wall of the basin. This result offers new progress towards the parsimonious incorporation of detailed local basin models within regional reference models utilizing an objective inverse-problem framework, and highlights the importance of accurate basin geometry models when accounting for the potentially significant amplification of surface waves from regional earthquakes in the high-rise building response band.
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