Electronic Theses and Dissertations
Identifier
980
Date
2013
Document Type
Thesis
Degree Name
Master of Science
Major
Earth Sciences
Concentration
Geophysics
Committee Chair
Chris Harold Cramer
Committee Member
Christine Powell
Committee Member
Mitch Withers
Abstract
The Next Generation Attenuation (NGA) East project has an updated database for Central and Eastern North America (CENA) ground motions. I analyzed the performance of ground motion prediction equations (GMPEs) used in the United States Geological Survey (USGS) National Seismic Hazard Mapping Project (NSHMP) and other potential GMPEs used in the CENA through bias analysis, model inadequacies check using statistical tests and finally ranking the GMPEs using log likelihood (LLH), and the Euclidean Distance Based Ranking (EDR) technique. From bias analysis, Atkinson and Boore (2011) (model A08p), Atkinson and Boore (2011) (model AB06p), and Atkinson and Boore (2006) (model AB06+) with 200 bar stress drop performed better than other GMPEs. EDR results show models A08, AB06p, and AB06+ as the best performing models for combined site classes. Models AB06p, EPRI (2004) cluster2 model (EPRI2), AB06+ and Silva et al. (2002) (SD02) matched the data well in rock sites.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Ogweno, Luke Philip, "Model Bias Analysis Using Statistical Methods with the NGA East Ground Motion Database" (2013). Electronic Theses and Dissertations. 826.
https://digitalcommons.memphis.edu/etd/826
Comments
Data is provided by the student.