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

Tanzila Tabassum; Mehedi Ahmed Ansary

doi:doi:10.11648/j.ijema.20221004.11

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

Tanzila Tabassum, Mehedi Ahmed Ansary

Published in International Journal of Environmental Monitoring and Analysis (Volume 10, Issue 4)

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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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

Tanzila Tabassum

Transportation and Infrastructure Division, Applied Research Associates Inc. (ARA), Champaign, USA
Mehedi Ahmed Ansary

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

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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  -

Copy | Download