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UCL Discovery
Article . 2018
Data sources: UCL Discovery
Bulletin of the Seismological Society of America
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Variable Fault Geometry Suggests Detailed Fault‐Slip‐Rate Profiles and Geometries Are Needed for Fault‐Based Probabilistic Seismic Hazard Assessment (PSHA)

Authors: Faure Walker, J.P.; Visini, F.; Roberts, G.; Galasso, C.; McCaffrey, K.; Mildon, Z.;

Variable Fault Geometry Suggests Detailed Fault‐Slip‐Rate Profiles and Geometries Are Needed for Fault‐Based Probabilistic Seismic Hazard Assessment (PSHA)

Abstract

It has been suggested that a better knowledge of fault locations and slip rates improves seismic hazard assessments. However, the importance of detailed along‐fault‐slip‐rate profiles and variable fault geometry has not yet been explored. We quantify the importance for modeled seismicity rates of using multiple throw‐rate measurements to construct along‐fault throw‐rate profiles rather than basing throw‐rate profiles on a single measurement across a fault. We use data from 14 normal faults within the central Italian Apennines where we have multiple measurements along the faults. For each fault, we compared strain rates across the faults using our detailed throw‐rate profiles and degraded data and simplified profiles. We show the implied variation in average recurrence intervals for a variety of magnitudes that result. Furthermore, we demonstrate how fault geometry (variable strike and dip) can alter calculated ground‐shaking intensities at specific sites by changing the source‐to‐site distance for ground‐motion prediction equations (GMPEs). Our findings show that improved fault‐based seismic hazard calculations require detailed along‐fault throw‐rate profiles based on well‐constrained local 3D fault geometry for calculating recurrence rates and shaking intensities.

Country
United Kingdom
Keywords

Earthquake, PSHA, 550, shaking intensity, GMPEs, recurrence intervals, central Apennines, seismic hazard, Fault geometry

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Average
Top 10%
Green
bronze