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Understanding Flood Risk and Vulnerability of a Place: Estimating Prospective Loss and Damage Using the HAZUS Model

Author

Listed:
  • C. Emdad Haque

    (Natural Resources Institute, University of Manitoba, Winnipeg, MB R3T 2M6, Canada)

  • Khandakar Hasan Mahmud

    (Department of Geography and Environment, Jahangirnagar University, Savar 1342, Bangladesh)

  • David Walker

    (Department of Environment and Geography, University of Manitoba, Winnipeg, MB R3T 3M6, Canada)

Abstract

In the field of flood management, risk and loss estimation is a prerequisite to undertake precautionary measures. Among several available tools, the HAZUS model is one of the most effective ones that can assist in the analysis of different dimensions of natural hazards, such as earthquakes, hurricanes, floods, and tsunamis. The flood hazard analysis portion of the model characterizes the spatial variation of flood regimes for a given study area. This research attempts to illustrate how the geoinformatics tool HAZUS can help in estimating overall risk and potential loss and damage due to floods and how this knowledge can guide the decision-making process and enhance community resilience. Examining a case study in the Rural Municipality of St. Andrews in Manitoba, Canada, this study found that both the ‘Quick Look’ and ‘Enhanced Quick Look’ analyses provided robust results. However, for the RM of St. Andrews, which is characterized by differing levels of exposure on the floodplain, and where many new housing starts occur in high-risk flood zones, ‘Enhanced Quick Look’ with spatially explicit building stock is recommended. The case study of the RM of St. Andrews demonstrates that the HAZUS model can predict loss and damage with increasing magnitude of flooding depth. It is thus recognized that the risk and loss estimation tools can be effective means for future flood loss and damage reduction.

Suggested Citation

  • C. Emdad Haque & Khandakar Hasan Mahmud & David Walker, 2022. "Understanding Flood Risk and Vulnerability of a Place: Estimating Prospective Loss and Damage Using the HAZUS Model," Geographies, MDPI, vol. 2(3), pages 1-23, July.
    • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:3:p:28-475:d:875930
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    References listed on IDEAS

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    1. James Carl Banks & Janey V. Camp & Mark D. Abkowitz, 2016. "A screening method for bridge scour estimation and flood adaptation planning utilizing HAZUS-MH 2.1 and HEC-18," 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. 83(3), pages 1731-1746, September.
    2. Jonathan W. F. Remo & Nicholas Pinter & Moe Mahgoub, 2016. "Assessing Illinois’s flood vulnerability using Hazus-MH," 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. 81(1), pages 265-287, March.
    3. Jonathan Remo & Nicholas Pinter & Moe Mahgoub, 2016. "Assessing Illinois’s flood vulnerability using Hazus-MH," 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. 81(1), pages 265-287, March.
    4. C. Emdad Haque & Mahed-Ul-Islam Choudhury & Md. Sowayib Sikder, 2019. "“Events and failures are our only means for making policy changes”: learning in disaster and emergency management policies in Manitoba, Canada," 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. 98(1), pages 137-162, August.
    5. C. Emdad Haque, 2000. "Risk Assessment, Emergency Preparedness and Response to Hazards: The Case of the 1997 Red River Valley Flood, Canada," 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. 21(2), pages 225-245, May.
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