1. Regional ground-motion prediction equations for western Saudi Arabia: merging stochastic and empirical estimates
- Author
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Vladimir Sokolov, Ryota Kiuchi, Hani Zahran, and Walter D. Mooney
- Subjects
Ground motion ,021110 strategic, defence & security studies ,Hydrogeology ,0211 other engineering and technologies ,Magnitude (mathematics) ,02 engineering and technology ,Building and Construction ,Volcanism ,Geotechnical Engineering and Engineering Geology ,Geodesy ,Moment (mathematics) ,Geophysics ,Seismic hazard ,Stochastic simulation ,Reference model ,Geology ,Civil and Structural Engineering - Abstract
Two regional ground-motion models are available at present for western Saudi Arabia, a region that is characterized by considerable seismic activity due to the spreading in the Red Sea and continental volcanism. The first model was created by Sokolov and Zahran (Arab J Geosci 11:38, 2018) using the stochastic simulation technique (Boore in Pure Appl Geoph 160(3):635–676, 2003) and it was reported in tabular form for moment magnitudes (M) from 5 to 7. The second model was developed by Kiuchi et al. (Bull Seismol Soc Am 109:2722–2737, 2019) as mathematical expression (empirical ground motion prediction equation, GMPE) on the basis of records from regional earthquakes with local magnitudes from ML 3 to 5.4. In this work, we first construct a GMPE using stochastic simulation data. This stochastic GMPE considers magnitude, distance and stress drop as input parameters. Second, we compare these two independently developed regional ground-motion models and employ a scheme for the modification of the empirical GMPE up to M 7.5 using the stochastic GMPE as the reference model. The revised GMPEs presented here provide regional ground motion models (PGA and spectral amplitudes at natural periods 0.2 s and 1.0 s) that may be used in logic tree scheme for assessment of seismic hazard in western Saudi Arabia.
- Published
- 2021
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