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Refining Stress Drop Measurements Using Spectral Asymptotes: Insights From the Ridgecrest Sequence

Description: 

In the community stress drop validation study (Abercrombie et al., 2024), stress drop was estimated for the Ridgecrest earthquake sequence. Significant variation in stress drop between research groups using various methods was observed. Much of this variability can be traced to differences in corner frequency estimates, often caused by even slight discrepancies in accounting for the path and site effects. The cubic dependence of stress drop on corner frequency makes obtaining accurate measurements critical for reducing uncertainty.

Recent work has shown promise for a method that uses the asymptotes of the spectral ratio for pairs of events. In this method, the low-frequency end represents the moment ratio and the high-frequency end represents the slip ratio. By eliminating the need for direct corner frequency measurements this approach reduces potential sources of uncertainty. We apply this method to a subset of larger events in the Ridgecrest catalog and compare the results to those from the community study. Additionally, we explore the effectiveness of different methods (both automated and manual) for determining asymptotes and assess whether these asymptotes can be measured with sufficient precision to preserve the advantages of this approach.

Session: Advances in Reliable Earthquake Source Parameter Estimation [Poster]

Type: Poster

Date: 4/16/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Trey

Student Presenter: Yes

Invited Presentation: 

Poster Number: 28

Authors