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Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region

Received: 24 March 2022     Accepted: 11 July 2022     Published: 29 August 2022
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Abstract

This article represents Ground-Motion Prediction Equations (GMPEs) for the North-East Indian region and Bangladesh derived from Indian Meteorological Department (IMD) strong motion database, following a standard regression approach. The database consists of 1608 three-component (North-South, East-West, and Vertical) time history records from 160 earthquakes having a magnitude between 2 to 8 from 2005 to 2017. The predicted ground parameters are expressed as a function of magnitude, distance (epicentral distance or hypocentral distance), and site category. The model uses a magnitude-independent shape according to geometrical spreading and anelastic attenuation for the attenuation relationships. The parametric GMPEs based on horizontal and vertical ground motions (peak ground acceleration, peak ground velocity) and spectral values (0.3 s, 1.0 s & 2.0 s.) have been developed in this study for rock, soft rock, and firm soil sites. The predictive values of horizontal and vertical components for firm soil sites are larger than those of soft rock and rock sites under the same conditions for a given earthquake event. Moreover, this study compares the effects of near-field earthquakes with far-field earthquakes and reveals that near-field earthquakes amplify more than far-field ones. This research also explains that the developed attenuation curves are depth and magnitude-independent and have no distance dependency.

Published in International Journal of Environmental Monitoring and Analysis (Volume 10, Issue 4)
DOI 10.11648/j.ijema.20221004.11
Page(s) 96-103
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Ground Motion Prediction Equation, Regression Approach, Horizontal and Vertical Component, Spectral Value

References
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[9] Boore, D. M., and Atkinson, G. M. (2008). "Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s". Earthquake Spectra, 24 (1), 99-138.
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Cite This Article
  • APA Style

    Tanzila Tabassum, Mehedi Ahmed Ansary. (2022). Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region. International Journal of Environmental Monitoring and Analysis, 10(4), 96-103. https://doi.org/10.11648/j.ijema.20221004.11

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    ACS Style

    Tanzila Tabassum; Mehedi Ahmed Ansary. Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region. Int. J. Environ. Monit. Anal. 2022, 10(4), 96-103. doi: 10.11648/j.ijema.20221004.11

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    AMA Style

    Tanzila Tabassum, Mehedi Ahmed Ansary. Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region. Int J Environ Monit Anal. 2022;10(4):96-103. doi: 10.11648/j.ijema.20221004.11

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  • @article{10.11648/j.ijema.20221004.11,
      author = {Tanzila Tabassum and Mehedi Ahmed Ansary},
      title = {Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region},
      journal = {International Journal of Environmental Monitoring and Analysis},
      volume = {10},
      number = {4},
      pages = {96-103},
      doi = {10.11648/j.ijema.20221004.11},
      url = {https://doi.org/10.11648/j.ijema.20221004.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20221004.11},
      abstract = {This article represents Ground-Motion Prediction Equations (GMPEs) for the North-East Indian region and Bangladesh derived from Indian Meteorological Department (IMD) strong motion database, following a standard regression approach. The database consists of 1608 three-component (North-South, East-West, and Vertical) time history records from 160 earthquakes having a magnitude between 2 to 8 from 2005 to 2017. The predicted ground parameters are expressed as a function of magnitude, distance (epicentral distance or hypocentral distance), and site category. The model uses a magnitude-independent shape according to geometrical spreading and anelastic attenuation for the attenuation relationships. The parametric GMPEs based on horizontal and vertical ground motions (peak ground acceleration, peak ground velocity) and spectral values (0.3 s, 1.0 s & 2.0 s.) have been developed in this study for rock, soft rock, and firm soil sites. The predictive values of horizontal and vertical components for firm soil sites are larger than those of soft rock and rock sites under the same conditions for a given earthquake event. Moreover, this study compares the effects of near-field earthquakes with far-field earthquakes and reveals that near-field earthquakes amplify more than far-field ones. This research also explains that the developed attenuation curves are depth and magnitude-independent and have no distance dependency.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region
    AU  - Tanzila Tabassum
    AU  - Mehedi Ahmed Ansary
    Y1  - 2022/08/29
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijema.20221004.11
    DO  - 10.11648/j.ijema.20221004.11
    T2  - International Journal of Environmental Monitoring and Analysis
    JF  - International Journal of Environmental Monitoring and Analysis
    JO  - International Journal of Environmental Monitoring and Analysis
    SP  - 96
    EP  - 103
    PB  - Science Publishing Group
    SN  - 2328-7667
    UR  - https://doi.org/10.11648/j.ijema.20221004.11
    AB  - This article represents Ground-Motion Prediction Equations (GMPEs) for the North-East Indian region and Bangladesh derived from Indian Meteorological Department (IMD) strong motion database, following a standard regression approach. The database consists of 1608 three-component (North-South, East-West, and Vertical) time history records from 160 earthquakes having a magnitude between 2 to 8 from 2005 to 2017. The predicted ground parameters are expressed as a function of magnitude, distance (epicentral distance or hypocentral distance), and site category. The model uses a magnitude-independent shape according to geometrical spreading and anelastic attenuation for the attenuation relationships. The parametric GMPEs based on horizontal and vertical ground motions (peak ground acceleration, peak ground velocity) and spectral values (0.3 s, 1.0 s & 2.0 s.) have been developed in this study for rock, soft rock, and firm soil sites. The predictive values of horizontal and vertical components for firm soil sites are larger than those of soft rock and rock sites under the same conditions for a given earthquake event. Moreover, this study compares the effects of near-field earthquakes with far-field earthquakes and reveals that near-field earthquakes amplify more than far-field ones. This research also explains that the developed attenuation curves are depth and magnitude-independent and have no distance dependency.
    VL  - 10
    IS  - 4
    ER  - 

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Author Information
  • Transportation and Infrastructure Division, Applied Research Associates Inc. (ARA), Champaign, USA

  • Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

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