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Watershed Planning within a Quantitative Scenario Analysis Framework
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A data-driven spatial approach to characterize the flood hazard.

Rubayet Bin Mostafiz1,2,3, Md Adilur Rahim3,4, Carol J Friedland3

  • 1Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United States.

Frontiers in Big Data
|December 29, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to estimate flood hazards both inside and outside the Special Flood Hazard Area (SFHA). It enables better flood risk assessment for all properties, improving planning and resilience.

Keywords:
Federal Emergency Management Agency (FEMA)Gumbel extreme value distributionSpecial Flood Hazard Area (SFHA)annual exceedance probability (AEP)flood riskshaded X Zonespatial interpolation techniquesunshaded X Zone

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Area of Science:

  • Hydrology and Water Resource Management
  • Geospatial Analysis and Flood Modeling

Background:

  • Special Flood Hazard Area (SFHA) flood grids quantify risk within areas of 1% annual chance flooding.
  • Flood risk outside SFHAs remains unquantified due to a lack of higher return-period flood grids.

Purpose of the Study:

  • To develop a method for estimating flood hazards for areas both inside and outside the SFHA.
  • To improve flood risk assessment and decision-making for property owners and planners.

Main Methods:

  • Utilized existing Annual Exceedance Probability (AEP) surfaces.
  • Employed the Gumbel extreme value distribution to project extreme flood event elevations.
  • Applied spatial interpolation techniques to estimate flood hazards in unmapped areas.

Main Results:

  • Successfully estimated flood hazards for areas within and beyond the SFHA.
  • Provided a framework for quantifying flood risk across diverse geographic zones.
  • Demonstrated the utility of existing AEP data for enhanced flood hazard mapping.

Conclusions:

  • The proposed method enhances flood risk assessment for properties inside and outside SFHAs.
  • Improved flood risk data supports better decisions on flood insurance, mitigation, and resilience planning.
  • Addresses a critical gap in quantifying flood hazards for comprehensive natural hazard management.