A data-driven spatial approach to characterize the flood hazard

A data-driven spatial approach to characterize the flood hazard

Model output of localized flood grids are useful in characterizing flood hazards for properties located in the Special Flood Hazard Area (SFHA—areas expected to experience a 1% or greater annual chance of flooding). However, due to the unavailability of higher return-period [i.e., recurrence interva...

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Bibliographic Details
Main Authors: Rubayet Bin Mostafiz, Md Adilur Rahim, Carol J. Friedland, Robert V. Rohli, Nazla Bushra, Fatemeh Orooji
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Big Data
Subjects:
annual exceedance probability (AEP)
Gumbel extreme value distribution
spatial interpolation techniques
Special Flood Hazard Area (SFHA)
Federal Emergency Management Agency (FEMA)
flood risk
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.1022900/full

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https://www.frontiersin.org/articles/10.3389/fdata.2022.1022900/full

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