Sensitivity analysis of ground motion prediction equation using next generation attenuation dataset

Seismic hazard assessment is an important stage in earthquake engineering. Since the ground motion prediction equation (GMPE) has a key role in seismic hazard assessment, it is necessary to determine this equation as well as possible. Some mutual seismic parameters, such as earthquake magnitude, distance, fault type, and site effect, are applied in GMPEs. The ridge regression method is applied to find the relation between input seismic parameters and targets (PGA, PGV, PGD, SA (T = 0.02 s), and SA (T = 1 s)). Results of regression show that equations obtained in this study have a root mean square error (RMSE) of 90%. In the last part, GMPEs are inspected by sensitivity analysis through two methods: Sobol and Delta Moment-Independent Measure. The results from the two methods were very similar to each other for each equation. Furthermore, the analysis shows that the most effective parameters in determining GMPEs are moment magnitude and shear wave velocity. (c) 2019 Institute of Seismology, China Earthquake Administration, etc. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).