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Stormwater Infrastructure Resilience Assessment against Seismic Hazard Using Bayesian Belief Network

Author

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  • Maryam Garshasbi

    (Industrial Systems Engineering, University of Regina, Regina, SK S4S 0A2, Canada)

  • Golam Kabir

    (Industrial Systems Engineering, University of Regina, Regina, SK S4S 0A2, Canada)

  • Subhrajit Dutta

    (Department of Civil Engineering, National Institute of Technology Silchar, Silchar 781017, India)

Abstract

Resilient stormwater infrastructure is one of the fundamental components of resilient and sustainable cities. For this, the resilience assessment of stormwater infrastructure against earthquake hazards is crucial for municipal authorities. The objective of this study is to develop a resilience assessment framework for stormwater pipe infrastructure against seismic hazards. A Bayesian belief network (BBN)-based stormwater infrastructure resilience model is constructed based on the published literature and expert knowledge. The developed framework is implemented in the city of Regina, Canada, to assess the city’s stormwater pipe infrastructure resilience. The outcome of the model indicates that proposed BBN-based stormwater infrastructure resilience model can effectively quantify uncertainties and handle the nonlinear relationships between several reliability and recovery factors. The model is also capable of identifying the most sensitive and vulnerable stormwater pipes within the network.

Suggested Citation

  • Maryam Garshasbi & Golam Kabir & Subhrajit Dutta, 2023. "Stormwater Infrastructure Resilience Assessment against Seismic Hazard Using Bayesian Belief Network," IJERPH, MDPI, vol. 20(16), pages 1-19, August.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:16:p:6593-:d:1219322
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    References listed on IDEAS

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    1. Ouyang, Min & Wang, Zhenghua, 2015. "Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 74-82.
    2. Ramírez, Pedro A. Pérez & Utne, Ingrid Bouwer, 2015. "Use of dynamic Bayesian networks for life extension assessment of ageing systems," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 119-136.
    3. Heather J. Murdock & Karin M. De Bruijn & Berry Gersonius, 2018. "Assessment of Critical Infrastructure Resilience to Flooding Using a Response Curve Approach," Sustainability, MDPI, vol. 10(10), pages 1-22, September.
    4. Tien, Iris & Der Kiureghian, Armen, 2016. "Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 134-147.
    5. Maryam Garshasbi & Golam Kabir, 2022. "Earthquake Resilience Framework for a Stormwater Pipe Infrastructure System Integrating the Best Worst Method and Dempster–Shafer Theory," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
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