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STOCHASTIC METHODOLOGY TO QUANTIFY FLOOD-RISK FOR COASTAL AND INLAND AREAS

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Date Issued:
2022
Abstract/Description:
Current flood-risk models lack fidelity at the neighborhood level. The Federal Emergency Management Agency (FEMA) develops flood maps based on experts’ experience and estimates on the probability of flooding. First Street Foundation evaluates flood risk with regional and subjective measures, without impact from torrential rain and nuisance flooding. The purpose of this research is to develop a data-driven method to determine a comprehensive flood-risk that accounts for severe, moderate, and nuisance flood events at the single-family home level, while also estimating the recovery time from the specified flood event. The method developed uses the Failure Mode and Effect Analysis (FMEA) method from the American Society of Quality (ASQ) to determine the Consequence of Flooding (CoF), following the 1-day 100-yr storm for the Probability of Flooding (PoF). The product of CoF and PoF provides an estimate of the flood-risk. An estimated Resilience Index value derived from flood-risk, is used to determine the recovery time after a severe or moderate
Title: STOCHASTIC METHODOLOGY TO QUANTIFY FLOOD-RISK FOR COASTAL AND INLAND AREAS.
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Name(s): Suarez, Eva L. , author
Meeroff, Daniel E. , Thesis advisor
Florida Atlantic University, Degree grantor
Department of Civil, Environmental and Geomatics Engineering
College of Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2022
Date Issued: 2022
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 278 P.
Language(s): English
Abstract/Description: Current flood-risk models lack fidelity at the neighborhood level. The Federal Emergency Management Agency (FEMA) develops flood maps based on experts’ experience and estimates on the probability of flooding. First Street Foundation evaluates flood risk with regional and subjective measures, without impact from torrential rain and nuisance flooding. The purpose of this research is to develop a data-driven method to determine a comprehensive flood-risk that accounts for severe, moderate, and nuisance flood events at the single-family home level, while also estimating the recovery time from the specified flood event. The method developed uses the Failure Mode and Effect Analysis (FMEA) method from the American Society of Quality (ASQ) to determine the Consequence of Flooding (CoF), following the 1-day 100-yr storm for the Probability of Flooding (PoF). The product of CoF and PoF provides an estimate of the flood-risk. An estimated Resilience Index value derived from flood-risk, is used to determine the recovery time after a severe or moderate
Identifier: FA00013945 (IID)
Degree granted: Dissertation (Ph.D.)--Florida Atlantic University, 2022.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
Subject(s): Floods--Risk assessment
United States. Federal Emergency Management Agency
Floods
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00013945
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.