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Title: AN EXAMINATION OF DOWNSCALING A FLOOD RISK SCREENING TOOL AT THE WATERSHED, SUBWATERSHED, AND MUNICIPAL LEVELS.
Creator: Hindle, Tucker, Bloetscher, Frederick, Su, Hongbo, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: This research aims to develop a large-scale locally relevant flood risk screening tool, that is, one capable of generating accurate probabilistic inundation maps quickly while still detecting localized nuisance-destructive flood potential. The CASCADE 2001 routing model is integrated with GIS to compare the predicted flood response to heavy rains at the watershed, subwatershed, and municipal levels. Therefore, the objective is to evaluate the impact of scale for determining flood risk in a...
Show moreThis research aims to develop a large-scale locally relevant flood risk screening tool, that is, one capable of generating accurate probabilistic inundation maps quickly while still detecting localized nuisance-destructive flood potential. The CASCADE 2001 routing model is integrated with GIS to compare the predicted flood response to heavy rains at the watershed, subwatershed, and municipal levels. Therefore, the objective is to evaluate the impact of scale for determining flood risk in a community. The findings indicate that a watershed-level analysis captures most flooding. However, the flood prediction improves to match existing FEMA flood maps as drill-down occurs at the subwatershed and municipal scales. The drill-down modeling solution presented in this study provides the necessary degree of local relevance for excellent detection in developed areas because of the downscaling techniques and local infrastructure. This validated model framework supports the development and prioritization of protection plans that address flood resilience in the context of watershed master planning and the Community Rating System.
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Date Issued: 2021
PURL: http://purl.flvc.org/fau/fd/FA00013779
Subject Headings: Floods--Risk assessment, Watersheds
Format: Document (PDF)

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)

Title: CALCULATION AND COMPARISON OF THE FLOOD RISK POTENTIAL DUE TO RAINFALL EVENTS AND SNOW MELT USING TECHNIQUES DEVELOPED FOR FLOOD RISK IN FLORIDA.
Creator: Weaver, Jared, Bloetscher, Frederick, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: CASCADE 2001 is a multi-basin flood routing program used in areas of flat terrain. CASCADE was used for different situational elements including the Florida Keys, Broward County, and Pensacola. The goal for this screening tool was to create flood inundation watershed mapping for the Florida Division of Emergency Management (FDEM). After showing the risks of flooding that could occur in Florida, the thought of how useful CASCADE can be in other environmental conditions. The Rocky Mountains...
Show moreCASCADE 2001 is a multi-basin flood routing program used in areas of flat terrain. CASCADE was used for different situational elements including the Florida Keys, Broward County, and Pensacola. The goal for this screening tool was to create flood inundation watershed mapping for the Florida Division of Emergency Management (FDEM). After showing the risks of flooding that could occur in Florida, the thought of how useful CASCADE can be in other environmental conditions. The Rocky Mountains were selected to show the effect of flood inundation that can be mirrored in an opposite condition from prior experimentation. We chose to test this program in an area with mountainous terrain like the region of Grand Lake, Colorado. Rainfall, in collaboration with groundwater tables, ground soil storage and topography have the most effect on the CASCADE modeling program. Effects that were not used in the Florida models but added for Grand Lake included snowmelt. Snowmelt in the Rocky Mountains affects the flow of the Colorado River causing excess discharge that flows throughout the valleys and into Shadow Mountain Lake. WINSRM was a recommended model that could be used to simulate snowmelt during different months of Colorado’s spring season. The effects of snowmelt and rainfall flooding can be compared in relation to each other.
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Date Issued: 2021
PURL: http://purl.flvc.org/fau/fd/FA00013774
Subject Headings: Floods--Risk assessment, Rain and rainfall, Runoff, Flood routing
Format: Document (PDF)

Title: ESTABLISHING A SCREENING TOOL TO SUPPORT DEVELOPMENT AND PRIORITIZATION OF WATERSHED BASED FLOOD PROTECTION PLANS.
Creator: Rojas, Gerardo, Bloetscher, Frederick, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Flood risk analysis is the instrument for utility managers to create a sound strategy and adaptation plans into their communities. Local municipalities are being continuously challenged every year by the impacts of climate change. The need to develop a screening tool to analyze watersheds and find risk areas is the goal of this research. Open source high-quality data is allowing climate scientists to create innovative ways to study watersheds when performing spatial analysis for inundation...
Show moreFlood risk analysis is the instrument for utility managers to create a sound strategy and adaptation plans into their communities. Local municipalities are being continuously challenged every year by the impacts of climate change. The need to develop a screening tool to analyze watersheds and find risk areas is the goal of this research. Open source high-quality data is allowing climate scientists to create innovative ways to study watersheds when performing spatial analysis for inundation areas. The development procedures for a screening tool involved combining readily available data on topography, groundwater, surface water, tidal information for coastal communities, soils, open space, and rainfall data. All efforts to help develop a planning level framework that allows investigators to target the optimal set of outcomes for a given community. This framework appears to be viable across cities that may be inundated with water due to sea-level rise, rainfall, runoff upstream, and other natural events.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013538
Subject Headings: Watersheds, Floods--Risk assessment, Watersheds--Analysis, Flood protection
Format: Document (PDF)

Title: Flood Analysis in Nassau County, Florida.
Creator: Hewett, Michelle, Mitsova, Diana, Florida Atlantic University, Department of Urban and Regional Planning, Department of Urban and Regional Planning
Abstract/Description: Flooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities....
Show moreFlooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities. In this context, planning for the future entails conducting multi-hazard analysis of risks posed by current and future storm events. This study undertakes a comprehensive analysis of flood risks in Nassau County, Florida, and examines current and future zoning and land use plans and buildings codes to provide science-based recommendations for addressing these risks.
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Date Issued: 2021
PURL: http://purl.flvc.org/fau/fd/FA00013700
Subject Headings: Floods--Risk assessment, Nassau County (Fla.), Floods
Format: Document (PDF)

Title: FLOOD RISK AND SOCIAL VULNERABILITY IN WALTON COUNTY, FL: AN INTEGRATED ASSESSMENT FOR URBAN RESILIENCE.
Creator: Sábio, Letícia, Mitsova, Diana, Florida Atlantic University, Department of Urban and Regional Planning, Charles E. Schmidt College of Science
Abstract/Description: Walton County, Florida, a low-lying coastal region, is highly susceptible to flooding, sea level rise, and storm surges. These hazards disproportionately impact communities, with socially vulnerable populations being less likely to recover from disaster events. This study presents an integrated assessment of vulnerability to flooding, considering natural hazards such as a 1-day 100-year storm event, a 3-foot sea level rise scenario, and storm surge risk, combined with a social vulnerability...
Show moreWalton County, Florida, a low-lying coastal region, is highly susceptible to flooding, sea level rise, and storm surges. These hazards disproportionately impact communities, with socially vulnerable populations being less likely to recover from disaster events. This study presents an integrated assessment of vulnerability to flooding, considering natural hazards such as a 1-day 100-year storm event, a 3-foot sea level rise scenario, and storm surge risk, combined with a social vulnerability analysis, aiming to identify the most socially vulnerable communities within Walton County's flood-prone areas. Additionally, the integrated analysis takes into consideration a priority of land use approach, identifying facilities that are critical or essential for an emergency response and recovery. The study also recommends a series of projects, including green, gray, and hybrid solutions, as well as policy changes to mitigate flood risks and enhance resilience within these communities.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014478
Subject Headings: Urban planning, Walton County (Fla.), Floods--Risk assessment
Format: Document (PDF)

Title: URBAN-RURAL EXPOSURE TO FLOOD HAZARD AND SOCIAL VULNERABILITY IN THE CONTERMINOUS UNITED STATES.
Creator: Dhungana, Bishal, Liu, Weibo, Florida Atlantic University, Department of Geosciences, Charles E. Schmidt College of Science
Abstract/Description: This study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts in the Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing the American Community Survey (ACS) 2016–2020 data, we focused on 16 social factors representing socioeconomic status, household composition, racial and ethnic minority status, and housing and transportation access. Principal Component Analysis (PCA) reduced these variables into five...
Show moreThis study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts in the Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing the American Community Survey (ACS) 2016–2020 data, we focused on 16 social factors representing socioeconomic status, household composition, racial and ethnic minority status, and housing and transportation access. Principal Component Analysis (PCA) reduced these variables into five principal components: Socioeconomic Disadvantage, Elderly and Disability, Housing Density and Vehicle Access, Youth and Mobile Housing, and Group Quarters and Unemployment. An additive model created a comprehensive Social Vulnerability Index (SVI). Statistical analysis, including the Mann–Whitney U test, indicated significant differences in flood risk and social vulnerability between urban and rural areas. Spatial cluster analysis using Local Indicators of Spatial Association (LISA) revealed significant high flood risk and social vulnerability clusters, particularly in urban regions along the Gulf Coast, Atlantic Seaboard, and Mississippi River. Global and local regression models, including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR), highlighted social vulnerability’s spatial variability and localized impacts on flood risk. The results showed substantial regional disparities, with urban areas exhibiting higher flood risks and social vulnerability, especially in southeastern urban centers.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014516
Subject Headings: Floods--Risk assessment, United States, Spatial analysis (Statistics)
Format: Document (PDF)

Title: FLOOD ANALYSIS IN THE PENSACOLA BASIN, FLORIDA.
Creator: Rodrigues, Susana, Mitsova, Diana, Florida Atlantic University, Department of Urban and Regional Planning, Charles E. Schmidt College of Science
Abstract/Description: Flooding can impact a community's social, cultural, environmental, and economic resources; therefore, generating a sound, science-based, long-term decision to improve resiliency is critical for future prosperity and growth. Developing watershed management plans is essential in assisting local communities in reducing flood insurance costs through mitigation and resiliency efforts. This effort, specifically for this report, will focus on the Pensacola Watershed Basin and the development...
Show moreFlooding can impact a community's social, cultural, environmental, and economic resources; therefore, generating a sound, science-based, long-term decision to improve resiliency is critical for future prosperity and growth. Developing watershed management plans is essential in assisting local communities in reducing flood insurance costs through mitigation and resiliency efforts. This effort, specifically for this report, will focus on the Pensacola Watershed Basin and the development procedures to assess the risks of flooding and storm surges. Utilizing readily available data on topography, ground surface water elevations, tidal data for coastal communities, open space, and rainfall, a framework was developed to facilitate flood risk assessments under various conditions. Such knowledge allows communities to properly prepare and prevent major damages during times of high flooding, such as tropical storms and hurricanes.
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Date Issued: 2021
PURL: http://purl.flvc.org/fau/fd/FA00013690
Subject Headings: Floods--Risk assessment, Pensacola Bay (Fla.), Hurricanes, ArcGIS
Format: Document (PDF)

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)

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)

Floods--Risk assessment (10)	+ -
Watersheds (3)	+ -
Floods (2)	+ -
ArcGIS (1)	+ -
Dashboards (Management information systems) (1)	+ -

Flood protection (1)	+ -
Flood routing (1)	+ -
Floods--Florida (1)	+ -
Floods--Risk management (1)	+ -
Geographic information systems (1)	+ -
Hurricanes (1)	+ -
Nassau County (Fla.) (1)	+ -
Pensacola Bay (Fla.) (1)	+ -
Rain and rainfall (1)	+ -
Runoff (1)	+ -
Spatial analysis (Statistics) (1)	+ -
United States (1)	+ -
United States. Federal Emergency Management Agency (1)	+ -
Urban planning (1)	+ -
Walton County (Fla.) (1)	+ -
Watersheds--Analysis (1)	+ -

Florida Atlantic University (10)	+ -
College of Engineering and Computer Science (6)	+ -
Department of Civil, Environmental and Geomatics Engineering (6)	+ -
Bloetscher, Frederick (4)	+ -
Charles E. Schmidt College of Science (3)	+ -

Department of Urban and Regional Planning (3)	+ -
Mitsova, Diana (3)	+ -
Department of Geosciences (1)	+ -
Dhungana, Bishal (1)	+ -
Hewett, Michelle (1)	+ -
Hindle, Tucker (1)	+ -
Hoque, Mushfiqul S. M. (1)	+ -
Liu, Weibo (1)	+ -
Meeroff, Daniel E. (1)	+ -
Nagarajan, Sudhagar (1)	+ -
Rodrigues, Susana (1)	+ -
Rojas, Gerardo (1)	+ -
Su, Hongbo (1)	+ -
Suarez, Eva L. (1)	+ -
Sábio, Letícia (1)	+ -
Weaver, Jared (1)	+ -
Zare, Saeid Naghadehi (1)	+ -

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