On the Selection of Ground-Motion Prediction Equations for Seismic Hazard Analysis
670
seismic risk
ground motion
0211 other engineering and technologies
risk assessment
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Geology
prediction
02 engineering and technology
Engineering (General). Civil engineering (General)
regression analysis
earthquake prediction
models
statistical analysis
geologic hazards
[SDU.STU] Sciences of the Universe [physics]/Earth Sciences
Institut für Geowissenschaften
magnitude
earthquakes
DOI:
10.1785/gssrl.81.5.783
Publication Date:
2010-08-31T18:35:25Z
AUTHORS (6)
ABSTRACT
Research Article| September 01, 2010 On the Selection of Ground-Motion Prediction Equations for Seismic Hazard Analysis Julian J. Bommer; Bommer Civil & Environmental Engineering Imperial College London SW7 2AZ, U.K. j.bommer@imperial.ac.uk (J. B.) 1Civil Engineering, London, Search other works by this author on: GSW Google Scholar John Douglas; Douglas 2Earthquake Centre, University Iceland, Selfoss, Iceland (on teaching leave from RNSC/RIS, BRGM, Orléans, France) Frank Scherbaum; Scherbaum 3Institut für Geowissenschaften Universität Potsdam, German Fabrice Cotton; Cotton 4LGIT, Université Joseph Fourier, Grenoble, France Hilmar Bungum; Bungum 5NORSAR/ICG, Kjeller, Norway Donat Fäh 6Swiss Seismological Service, ETH, Zurich, Switzerland Author and Article Information Publisher: Society America First Online: 09 Mar 2017 Online ISSN: 1938-2057 Print 0895-0695 © Letters (2010) 81 (5): 783–793. https://doi.org/10.1785/gssrl.81.5.783 history Cite View This Citation Add to Manager Share Icon Facebook Twitter LinkedIn Email Permissions Site Bommer, Douglas, Scherbaum, Cotton, Bungum, Fäh; Analysis. 2010;; doi: Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Dropdown Menu input auto suggest filter your All ContentBy SocietySeismological Advanced A key element in any seismic hazard analysis is selection appropriate ground-motion prediction equations (GMPEs). In an earlier paper, focused on adjustment models probabilistic (PSHA) moderately active regions—with limited data few, if any, indigenous models—Cotton et al. (2006) proposed seven criteria as basis selecting GMPEs. Recent experience applying these criteria, faced with several new GMPEs developed since paper was published a significantly larger strong-motion database, has led consideration how could... You do not have access content, please speak institutional administrator you feel should access.
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