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A ground-motion logic-tree scheme for regional seismic hazard studies

Ozkan Kale and Sinan Akkar
A ground-motion logic-tree scheme for regional seismic hazard studies
Earthquake Spectra (August 2017) 33 (3): 837-856


We propose a methodology that can be useful to the hazard expert in building ground-motion logic trees to capture the center and range of ground-motion amplitudes. The methodology can be used to identify a logic-tree structure and weighting scheme that prevents the dominancy of a specific ground-motion model. This strategy can be useful for regional probabilistic seismic hazard since logic-trees biased by a specific ground-motion predictive model (GMPE) may cause disparities in the seismic hazard for regions represented by large number of sites with complex seismic features. The methodology first identifies a suit of candidate ground-motion prediction equations that can cover the center, body and range of estimated ground motions. The GMPE set is then used for establishing alternative logic-trees composed of different weighting schemes to identify the one(s) that would not be biased towards a particular GMPE due to its sensitivity to the weights. The proposed methodology utilizes visual and statistical tools to assess the ground motion distributions over large areas that makes it more practical for regional hazard studies.

ISSN: 8755-2930
EISSN: 1944-8201
Serial Title: Earthquake Spectra
Serial Volume: 33
Serial Issue: 3
Title: A ground-motion logic-tree scheme for regional seismic hazard studies
Affiliation: TED University, Department of Civil Engineering, Ankara, Turkey
Pages: 837-856
Published: 201708
Text Language: English
Publisher: Earthquake Engineering Research Institute, Berkeley, CA, United States
References: 38
Accession Number: 2021-009888
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
Secondary Affiliation: Bogazici University, TUR, Turkey
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202103
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