Modeling the Impact of Building-Level Flood Mitigation Measures Made Possible by Early Flood Warnings on Community-Level Flood Loss Reduction

Details

• Journal Title:
  Buildings
• Personal Author:
  Nofal, Omar M. ; van de Lindt, John W. ; Cutler, Harvey ; Shields, Martin ; Crofton, Kevin
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research)
• Description:
  The growing number of flood disasters worldwide and the subsequent catastrophic consequences of these events have revealed the flood vulnerability of communities. Flood impact predictions are essential for better flood risk management which can result in an improvement of flood preparedness for vulnerable communities. Early flood warnings can provide households and business owners additional time to save certain possessions or products in their buildings. This can be accomplished by elevating some of the water-sensitive components (e.g., appliances, furniture, electronics, etc.) or installing a temporary flood barrier. Although many qualitative and quantitative flood risk models have been developed and highlighted in the literature, the resolution used in these models does not allow a detailed analysis of flood mitigation at the building- and community level. Therefore, in this article, a high-fidelity flood risk model was used to provide a linkage between the outputs from a high-resolution flood hazard model integrated with a component-based probabilistic flood vulnerability model to account for the damage for each building within the community. The developed model allowed to investigate the benefits of using a precipitation forecast system that allows a lead time for the community to protect its assets and thereby decreasing the amount of flood-induced losses.
• Keywords:
  • Building and Construction
  • Civil and Structural Engineering
  • Architecture
• Source:
  Buildings, 11(10), 475
• DOI:
  https://doi.org/10.3390/buildings11100475
• ISSN:
  2075-5309
• Format:
  PDF
• Publisher:
  MDPI AG
• Document Type:
  Journal Article
• Funding:
  Grant no. NA19OAR4320073
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Library
• Download URL:
  https://repository.library.noaa.gov/view/noaa/58716/noaa_58716_DS1.pdf
• File Type:
  [PDF - 32.87 MB]
• Collection(s):
  Office of Oceanic and Atmospheric Research (OAR)
• Main Document Checksum:
  urn:sha256:71094124757ea7be19cff03bebe421032626b9cfc01cc704ad43c6bba3f38519