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CALCULATION AND COMPARISON OF THE FLOOD RISK POTENTIAL DUE TO RAINFALL EVENTS, HIGH TIDES, SEA LEVEL RISE, STORM SURGE AND THE COMBINATION OF ALL THE CASES ON THE EASTERN COAST OF FLORIDA
Title
CALCULATION AND COMPARISON OF THE FLOOD RISK POTENTIAL DUE TO RAINFALL EVENTS, HIGH TIDES, SEA LEVEL RISE, STORM SURGE AND THE COMBINATION OF ALL THE CASES ON THE EASTERN COAST OF FLORIDA.
Creator
Hoque, Mushfiqul S. M., Bloetscher, Frederick, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description
Coastal basins are particularly vulnerable to flood under multivariable conditions, such as heavy precipitation, high sea levels, tropical storm surge and rainstorms. These conditions should be considered to assess and manage flood risk better. In this research, a means to develop a watershed level screening tool to identify areas with potential for flooding due to high tides, rainfall events, sea level rise and combinations of all the cases was developed and compared to FEMA maps. The goal...
Show moreCoastal basins are particularly vulnerable to flood under multivariable conditions, such as heavy precipitation, high sea levels, tropical storm surge and rainstorms. These conditions should be considered to assess and manage flood risk better. In this research, a means to develop a watershed level screening tool to identify areas with potential for flooding due to high tides, rainfall events, sea level rise and combinations of all the cases was developed and compared to FEMA maps. The goal of the screening tool is part of a larger effort with respect to watersheds funded by the Florida Division of Emergency Management to enable local communities to reduce flood insurance costs through mitigation and resiliency efforts by means of risk assessment was undertaken. For this purpose, readily available data on topography, ground, and surface water elevations, tidal data for coastal communities, soils, and rainfall data were collected from the South Florida water management district, USGS, and NOAA. Firstly, using elevation data, soil data, and the Spatial Analyst tool, Arc-Hydro tools of ArcGIS, the drainage network, and soil storage capacity were determined. These results and rainfall data acted as inputs for Cascade to calculate the headwater height for all the cases for the selected basins. Using these headwater heights, several different probabilities of inundation were determined. This study will help manage and mitigate vulnerable areas and act as a tool to permit local agencies to develop means to address high-risk properties.
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Date Issued
2021
PURL
http://purl.flvc.org/fau/fd/FA00013732
Subject Headings
Floods--Risk assessment, Floods--Florida, Floods--Risk management
Format
Document (PDF)
STOCHASTIC METHODOLOGY TO QUANTIFY FLOOD-RISK FOR COASTAL AND INLAND AREAS
Title
STOCHASTIC METHODOLOGY TO QUANTIFY FLOOD-RISK FOR COASTAL AND INLAND AREAS.
Creator
Suarez, Eva L., Meeroff, Daniel E., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
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...
Show moreCurrent 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
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Date Issued
2022
PURL
http://purl.flvc.org/fau/fd/FA00013945
Subject Headings
Floods--Risk assessment, United States. Federal Emergency Management Agency, Floods
Format
Document (PDF)
DEVELOPMENT OF GIS-BASED ONLINE WATERSHED DASHBOARD FOR CHARLOTTE COUNTY, FLORIDA
Title
DEVELOPMENT OF GIS-BASED ONLINE WATERSHED DASHBOARD FOR CHARLOTTE COUNTY, FLORIDA.
Creator
Zare, Saeid Naghadehi, Nagarajan, Sudhagar, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description
This thesis presents the development of an innovative Geographic Information System (GIS)-based Interactive Online Watershed Dashboard aimed at flood risk assessment and mitigation in Charlotte County, Florida. The research leverages advanced GIS techniques, including flood inundation simulations using CASCADE 2001, integrating LiDAR DEM data and GIS layers such as impervious surfaces, waterbodies, and soil characteristics to model flood behavior in 61 inundation probability scenarios. Key...
Show moreThis thesis presents the development of an innovative Geographic Information System (GIS)-based Interactive Online Watershed Dashboard aimed at flood risk assessment and mitigation in Charlotte County, Florida. The research leverages advanced GIS techniques, including flood inundation simulations using CASCADE 2001, integrating LiDAR DEM data and GIS layers such as impervious surfaces, waterbodies, and soil characteristics to model flood behavior in 61 inundation probability scenarios. Key results include detailed flood inundation probability maps categorizing risk levels based on Z-scores, providing actionable insights for flood risk management and emergency planning. Spatial analysis reveals demographic vulnerabilities, with population density and ethnic compositions intersecting flood vulnerability. The study assesses flood impacts on transportation infrastructure and prioritizes critical facilities for resilience strategies. The dashboard's design integrates diverse datasets and analytical results, allowing users to interactively explore flood risk scenarios, critical infrastructure vulnerabilities, and demographic impacts. This research contributes essential tools for informed decision-making, enhancing flood resilience and disaster preparedness in Charlotte County, Florida.
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Date Issued
2024
PURL
http://purl.flvc.org/fau/fd/FA00014437
Subject Headings
Watersheds, Dashboards (Management information systems), Geographic information systems, Floods--Risk assessment
Format
Document (PDF)