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Why do seismic hazard models worldwide appear to overpredict historical intensity observations?
Leah Salditch1, Molly Margaret Gallahue2, Seth Stein2,3
1U.S. Geological Survey, Golden, CO, USA.
Probabilistic seismic hazard assessments (PSHA) may overestimate earthquake shaking. New research suggests a systematic bias in models or observations, impacting building codes and earthquake safety.
Area of Science:
- Earthquake science
- Seismology
- Geophysics
Background:
- Probabilistic seismic hazard assessments (PSHA) are crucial for earthquake-resistant building codes.
- The accuracy of PSHA in predicting actual earthquake shaking intensity is not well understood.
Purpose of the Study:
- To evaluate the predictive accuracy of recent PSHA for California, Japan, Italy, Nepal, and France.
- To identify potential systematic biases in seismic hazard models or observational data.
Main Methods:
- Compared PSHA predictions (peak ground acceleration/velocity) with historically observed earthquake shaking intensities.
- Analyzed discrepancies using numerical simulations across diverse tectonic settings.
- Investigated the impact of conversion equations between instrumental and qualitative shaking measures.
Main Results:
- Recent PSHA consistently overpredicted historically observed earthquake shaking intensities.
- Numerical simulations indicated that observed shaking is equally likely to be above or below PSHA predictions.
- Discrepancies are partly attributed to conversion equations linking instrumental measures and qualitative shaking reports.
Conclusions:
- A potential systematic bias exists in current seismic hazard models, observational data, or both.
- Further research is needed on relating qualitative historical shaking reports to instrumental seismic measures.
- Improving the conversion of qualitative observations is essential for accurate seismic hazard assessment.
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