Ground-Motion Prediction Equations (GMPEs) from a global dataset: the PEERPEER NGA equations

By:
Edited by: Sinan AkkarPolat Gulkan, and Torild van Eck

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Abstract

The PEER NGA ground-motion prediction equation s (GMPEs) were derived by five developer teams over several years, resulting in five sets of GMPEs. The teams used various subsets of a global database of ground motions and metadata from shallow earthquakes in tectonically active regions in the development of the equations. Since their publication, the predicted motions from these GMPEs have been compared with data from various parts of the world – data that largely were not used in the development of the GMPEs. The comparisons suggest that the NGA GMPEs are applicable globally for shallow earthquakes in tectonically active regions.

Additional publication details

Publication type Book chapter
Publication Subtype Book Chapter
Title Ground-Motion Prediction Equations (GMPEs) from a global dataset: the PEERPEER NGA equations
DOI 10.1007/978-94-007-0152-6_1
Year Published 2011
Language English
Publisher Springer
Publisher location Dordrecht, NY
Contributing office(s) Earthquake Science Center
Description 13 p.
Larger Work Type Book
Larger Work Title Earthquake Data in Engineering Seismology: Predictive Models, Data Management, and Networks
First page 3
Last page 15
Online Only (Y/N) N
Additional Online Files (Y/N) N