IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p8152-d855414.html
   My bibliography  Save this article

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

Author

Listed:
  • Muhammad Waseem

    (Department of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan)

  • Zia Ur Rehman

    (National Centre of Excellence in Geology, University of Peshawar, Peshawar 25000, Pakistan)

  • Fabio Sabetta

    (Department of Architecture, Roma Tre University, 00161 Rome, Italy)

  • Irshad Ahmad

    (Department of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan)

  • Mahmood Ahmad

    (Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu 28100, Pakistan)

  • Mohanad Muayad Sabri Sabri

    (Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia)

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.

Suggested Citation

  • Muhammad Waseem & Zia Ur Rehman & Fabio Sabetta & Irshad Ahmad & Mahmood Ahmad & 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, MDPI, vol. 14(13), pages 1-18, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8152-:d:855414
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/8152/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/13/8152/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xianmin Wang & Xinlong Zhang & Jia Bi & Xudong Zhang & Shiqiang Deng & Zhiwei Liu & Lizhe Wang & Haixiang Guo, 2022. "Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning," IJERPH, MDPI, vol. 19(21), pages 1-26, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8152-:d:855414. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.