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Article

Evaluation of the Predictive Performance of Regional and Global Ground Motion Predictive Equations for Shallow Active Regions in Pakistan

1
Department of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan
2
National Centre of Excellence in Geology, University of Peshawar, Peshawar 25000, Pakistan
3
Department of Architecture, Roma Tre University, 00161 Rome, Italy
4
Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu 28100, Pakistan
5
Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
*
Authors to whom correspondence should be addressed.
Sustainability 2022, 14(13), 8152; https://doi.org/10.3390/su14138152
Submission received: 29 May 2022 / Revised: 30 June 2022 / Accepted: 1 July 2022 / Published: 4 July 2022
(This article belongs to the Special Issue Geological Hazards and Risk Management)

Abstract

Ground motion prediction equations are a key element of seismic hazard assessments. Pakistan lacks a robust ground motion prediction equation specifically developed using a Pakistan seismic ground motion databank. In this study, performance assessment of the ground motion prediction equations for usage in seismic hazard and risk studies in Pakistan, a seismically highly active region, is performed. In this study, an evaluation of the global ground motion prediction equations developed for the shallow active regions is carried out based on a databank of strong ground motion that was compiled in this study. Thirteen ground motion prediction equations were considered applicable, and their goodness of fit was evaluated using the databank of 147 peak ground acceleration of 27 shallow earthquakes in Pakistan. Residual analysis and three goodness of fit procedures were implemented in the evaluation of the equations. The results of this study suggest that global ground motion prediction equations can be applicable in the shallow active regions of Pakistan. These equations were developed based on data from Europe and the Middle East. Next Generation Attenuation West-2 equations were also applicable, but they did not perform as well as the European and Middle Eastern databank-derived equations. A total of four global equations were applicable in Pakistan. The best performing equation in this study should be applied with the highest weight, and the others should be applied with small weights on the logic tree to perform better. These equations can be employed in seismic hazard and risk assessment studies for disaster risk mitigation measures.
Keywords: Pakistan; peak ground acceleration; strong motion databank Pakistan; peak ground acceleration; strong motion databank

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MDPI and ACS Style

Waseem, M.; Rehman, Z.U.; Sabetta, F.; Ahmad, I.; Ahmad, M.; Sabri, M.M.S. Evaluation of the Predictive Performance of Regional and Global Ground Motion Predictive Equations for Shallow Active Regions in Pakistan. Sustainability 2022, 14, 8152. https://doi.org/10.3390/su14138152

AMA Style

Waseem M, Rehman ZU, Sabetta F, Ahmad I, Ahmad M, Sabri MMS. Evaluation of the Predictive Performance of Regional and Global Ground Motion Predictive Equations for Shallow Active Regions in Pakistan. Sustainability. 2022; 14(13):8152. https://doi.org/10.3390/su14138152

Chicago/Turabian Style

Waseem, Muhammad, Zia Ur Rehman, Fabio Sabetta, Irshad Ahmad, Mahmood Ahmad, and Mohanad Muayad Sabri Sabri. 2022. "Evaluation of the Predictive Performance of Regional and Global Ground Motion Predictive Equations for Shallow Active Regions in Pakistan" Sustainability 14, no. 13: 8152. https://doi.org/10.3390/su14138152

APA Style

Waseem, M., Rehman, Z. U., Sabetta, F., Ahmad, I., Ahmad, M., & Sabri, M. M. S. (2022). Evaluation of the Predictive Performance of Regional and Global Ground Motion Predictive Equations for Shallow Active Regions in Pakistan. Sustainability, 14(13), 8152. https://doi.org/10.3390/su14138152

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