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Seismic source modeling and probabilistic seismic hazard analysis for Bangladesh

Author

Listed:
  • Md. Zillur Rahman

    (University of British Columbia, Okanagan Campus
    University of Dhaka)

  • Sumi Siddiqua

    (University of British Columbia, Okanagan Campus)

  • A. S. M. Maksud Kamal

    (University of Dhaka)

Abstract

The probabilistic seismic hazard analysis (PSHA) has been performed for Bangladesh using background seismicity, crustal fault, and subduction zone source models. The latest ground motion prediction equations (GMPEs) that are developed using global data sets have been used to estimate ground motion. The uncertainties in seismic sources and GMPEs to estimate ground motion are accounted using the logic tree approach. The activity rates of the background and regional seismicity sources are estimated using a declustered and complete catalog of the study regions. The activity rates of the crustal fault and subduction zone sources are estimated from the geodetic strain rates using the well-accepted relationships. The peak ground acceleration (PGA) and spectral acceleration (SA) at spectral periods of 0.2, 0.5, 1.0, 2.0, 5.0, and 10.0 s have been estimated at a grid size of 0.250 at the bedrock ground condition. The PGA and SA maps of various spectral periods have been prepared for Bangladesh for both 10% and 2% probability of exceedance in 50 years. These seismic hazard maps can be used for seismic risk management of Bangladesh.

Suggested Citation

  • Md. Zillur Rahman & Sumi Siddiqua & A. S. M. Maksud Kamal, 2020. "Seismic source modeling and probabilistic seismic hazard analysis for Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 2489-2532, September.
  • Handle: RePEc:spr:nathaz:v:103:y:2020:i:2:d:10.1007_s11069-020-04094-6
    DOI: 10.1007/s11069-020-04094-6
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    References listed on IDEAS

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    1. Sara Trianni & Carlo Lai & Erio Pasqualini, 2014. "Probabilistic seismic hazard analysis at a strategic site in the Bay of Bengal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1683-1705, December.
    2. Phil R. Cummins, 2007. "The potential for giant tsunamigenic earthquakes in the northern Bay of Bengal," Nature, Nature, vol. 449(7158), pages 75-78, September.
    3. Arjun Sil & T. Sitharam & Sreevalsa Kolathayar, 2013. "Probabilistic seismic hazard analysis of Tripura and Mizoram states," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 1089-1108, September.
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    Cited by:

    1. Lucky Caroles, 2023. "Probabilistic Seismic Hazard Analysis on Pavement Failure Restoration; Case Study of Sorong–Makbon Road," Sustainability, MDPI, vol. 15(7), pages 1-15, March.
    2. Masoud Mojarab & Nazi Norouzi & Mahdokht Bayati & Zeinab Asadi & Mohamad Eslami & Mohsen Ghafory-Ashtiany & Abdul-Latif Helaly & Sara Khoshnevis, 2023. "Assessment of seismic hazard including equivalent-linear soil response analysis for Dhaka Metropolitan Region, Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 3145-3180, July.
    3. Abul Kashem Faruki Fahim & Md. Zillur Rahman & Md. Shakhawat Hossain & A. S. M. Maksud Kamal, 2022. "Liquefaction resistance evaluation of soils using artificial neural network for Dhaka City, Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 933-963, September.

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