Developing Seismogenic Source Models Based on Geologic Fault Data

Haller, Kathleen M.; Basili, Roberto

doi:10.1785/gssrl.82.4.519

Cited by 24 publications

(10 citation statements)

References 15 publications

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“…Other areas of enlarged seismicity, such as the region of the HZA or the URG, could not yet be incorporated as fault source models as their respective data are incomplete. However, the data available for the LRG allow at least the construction of 15 composite seismic sources (CSS) (Vanneste et al 2013) combining an unspecified number of individual sources according to Haller and Basili (2011). We make direct use of the fault geometry including dip, rake and depth range of the NW-SE striking CSS model by Vanneste et al (2013), except for the two most northwestern ones.…”

Section: The Concept Of Superzones As Derivatives Of Ssz Model Amentioning

confidence: 99%

The probabilistic seismic hazard assessment of Germany—version 2016, considering the range of epistemic uncertainties and aleatory variability

Grünthal

Stromeyer

Bosse

et al. 2018

Bull Earthquake Eng

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The basic seismic load parameters for the upcoming national design regulation for DIN EN 1998-1/NA result from the reassessment of the seismic hazard supported by the German Institution for Civil Engineering (DIBt). This 2016 version of the national seismic hazard assessment for Germany is based on a comprehensive involvement of all accessible uncertainties in models and parameters and includes the provision of a rational framework for integrating ranges of epistemic uncertainties and aleatory variabilities in a comprehensive and transparent way. The developed seismic hazard model incorporates significant improvements over previous versions. It is based on updated and extended databases, it includes robust methods to evolve sets of models representing epistemic uncertainties, and a selection of the latest generation of ground motion prediction equations. The new earthquake model is presented here, which consists of a logic tree with 4040 end branches and essential innovations employed for a realistic approach. The output specifications were designed according to the user oriented needs as suggested by two review teams supervising the entire project. Seismic load parameters, for rock conditions of v S30 = 800 m/s, are calculated for three hazard levels (10, 5 and 2% probability of occurrence or exceedance within 50 years) and delivered in the form of uniform hazard spectra, within the spectral period range 0.02-3 s, and seismic hazard maps for peak

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Section: The Concept Of Superzones As Derivatives Of Ssz Model Amentioning

confidence: 99%

The probabilistic seismic hazard assessment of Germany—version 2016, considering the range of epistemic uncertainties and aleatory variability

Grünthal

Stromeyer

Bosse

et al. 2018

Bull Earthquake Eng

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“…For the parameterisation of crustal faults the EDSF adopts the Composite Seismogenic Source (CSS) model defined in previous works (Basili et al 2008(Basili et al , 2009) with standards used in other seismogenic fault databases (Haller and Basili 2011). The CSS is a simplified 3D model of a fault or fault system containing an unspecified number of aligned earthquake ruptures that could not-or simply were not-singled out.…”

Section: The European Database Of Seismogenic Faults (Edsf)mentioning

confidence: 99%

“…In the FSBG-model, activity rates of the mapped fault sources are determined from the available deformation data as inferred from geodetic and geological methods (Basili et al 2008(Basili et al , 2009Haller and Basili 2011;Basili et al 2013). The activity rates in this model are primarily dependent on the slip rate and the maximum magnitude of the fault sources.…”

Section: Fault Sources and Background (Fsbg) Modelmentioning

confidence: 99%

The 2013 European Seismic Hazard Model: key components and results

Woessner

Danciu

Giardini

et al. 2015

Bull Earthquake Eng

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330

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The 2013 European Seismic Hazard Model (ESHM13) results from a community-based probabilistic seismic hazard assessment supported by the EU-FP7 project "Seismic Hazard Harmonization in Europe" (SHARE, 2009(SHARE, -2013. The ESHM13 is a consistent seismic hazard model for Europe and Turkey which overcomes the limitation of national borders and includes a through quantification of the uncertainties. It is the first completed regional effort contributing to the "Global Earthquake Model" initiative. It might serve as a reference model for various applications, from earthquake preparedness to earthquake risk mitigation strategies, including the update of the European seismic regulations for building design (Eurocode 8), and thus it is useful for future safety assessment and improvement of private and public buildings. Although its results constitute a reference for Europe, they do not replace the existing national design regulations that are in place for seismic design and construction of buildings. The ESHM13 represents a significant improvement compared to previous efforts as it is based on (1) the compilation of updated and harmonised versions of the databases required for probabilistic seismic hazard assessment, (2) the adoption of standard procedures and robust methods, especially for expert elicitation and consensus building among hundreds of European experts, (3) the multi-disciplinary input from all branches of earthquake science and engineering, (4) the direct involvement of the CEN/TC250/SC8 committee in defining output specifications relevant for Eurocode 8 and (5)

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“…If this could be an option in onshore studies, the above illustrated circumstances suggest that when most faults are located offshore, as it is the case of tsunami hazard studies, the extensive use of fault segmentation models cannot be a viable option. Although only a small set of parameters is commonly used to characterize fault sources in PSHA (Haller and Basili, 2011), all these parameters are uncertain, their uncertainty has to be characterized, and its impact onto the hazard estimates be evaluated. All faults included into such data sets are assumed to be able to release earthquakes equal or larger than a minimum magnitude that usually reflects an engineering requirement or a dimensional limit (in either length or width or displacement) for the identification of faults.…”

Section: Scaling Lawsmentioning

confidence: 99%

Integrating geologic fault data into tsunami hazard studies

Basili

Tiberti

Kastelic

et al. 2013

Nat. Hazards Earth Syst. Sci.

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We present the realization of a fault-source data set designed to become the starting point in regional-scale tsunami hazard studies. Our approach focuses on the parametric fault characterization in terms of geometry, kinematics, and assessment of activity rates, and includes a systematic classification in six justification levels of epistemic uncertainty related with the existence and behaviour of fault sources. We set up a case study in the central Mediterranean Sea, an area at the intersection of the European, African, and Aegean plates, characterized by a complex and debated tectonic structure and where several tsunamis occurred in the past. Using tsunami scenarios of maximum wave height due to crustal earthquakes (M_w=7) and subduction earthquakes (M_w=7 and M_w=8), we illustrate first-order consequences of critical choices in addressing the seismogenic and tsunamigenic potentials of fault sources. Although tsunamis generated by M_w=8 earthquakes predictably affect the entire basin, the impact of tsunamis generated by M_w=7 earthquakes on either crustal or subduction fault sources can still be strong at many locales. Such scenarios show how the relative location/orientation of faults with respect to target coastlines coupled with bathymetric features suggest avoiding the preselection of fault sources without addressing their possible impact onto hazard analysis results

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Developing Seismogenic Source Models Based on Geologic Fault Data

Cited by 24 publications

References 15 publications

The probabilistic seismic hazard assessment of Germany—version 2016, considering the range of epistemic uncertainties and aleatory variability

The probabilistic seismic hazard assessment of Germany—version 2016, considering the range of epistemic uncertainties and aleatory variability

The 2013 European Seismic Hazard Model: key components and results

Integrating geologic fault data into tsunami hazard studies

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