Ground-Motion Prediction Equations (GMPEs) from a global dataset: The PEER NGA equations
By: David M. Boore
Edited by: Sinan Akkar, Polat Gülkan, and Torild van Eck
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Abstract
The PEER NGA ground-motion prediction equations (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.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Ground-Motion Prediction Equations (GMPEs) from a global dataset: The PEER 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 Subtype | Monograph |
| 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 |
| Google Analytic Metrics | Metrics page |