Beach morphology changes naturally with seasonal and event-driven variability in the wave climate, as well as due to anthropogenic activities such as erosion mitigation efforts. In 2017, category four Hurricane Irma caused beach erosion and dune overwash in Boca Raton, FL. Immediate post-storm perigean spring tides coupled with typical winter high-wind conditions imposed a regime of spatially and temporally extended meteorologic and morphologic variability. This study evaluates the morphologic evolution and post-storm recovery in the first year following Hurricane Irma. Time-series topographic surveys and surface sediment samples were collected. Patterns of accretion and erosion were evaluated with regionally measured water and wind levels. Recovery morphology was generally through berm-building, but lacked shoreline stability. Storm impact regime, mitigation structures, and sediment transport patterns drove the recovery. Total volume lost above the 0 m contour due to the storm was not fully recovered within the year, with a large volume measured in the south. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2019. / FAU Electronic Theses and Dissertations Collection

The purpose of this study was to determine evacuation decisions of residents in Pinellas County, a vulnerable area in Florida, during Hurricane Irma in 2017, and whether those decisions will impact their future decisions to evacuate. This study also examines the resident’s perception of storm surge flooding during a hurricane. To understand evacuation decisions and storm surge perceptions a survey was conducted on residents in vulnerable areas of Pinellas County. The survey examined multiple aspects including the role of media, relationships, and sociodemographic status on decision making. Another aspect examined if their decision to evacuate for Hurricane Irma will impact their decision for the future. Residents were also asked to rate how different aspects of the storm influenced their decision, including flooding from storm surge. It was concluded that their decision to evacuate for Hurricane Irma will significantly impact their decision to evacuate for the next hurricane, with many residents claiming they would leave their local area. Storm surge was not perceived as the greatest threat, instead wind speed and size of storm were determined to be the greater threat. Better understanding of evacuation decisions and perceptions about storm surge can be used to update emergency management preparations and planning for the next hurricane.

<p dir="ltr">Tropical Cyclones (TCs) are intense low-pressure weather systems that acts as a meteorological monster causing severe rainfall and widespread freshwater flooding, leading to extensive damage and disruption. Quantitative precipitation estimates (QPEs) are crucial for accurately understanding and evaluating the impacts of TCs. However, QPEs derived from various modalities, such as rain gauges, ground-based merged radars, and satellites, can differ significantly and require thorough comparison. Understanding the limitations/advantages of using each QPE is essential to simulate a hydrological model especially to estimate extreme events like TCs. The objective of the dissertation is to 1) characterize the tropical cyclone precipitation (TCP) using three gridded products, 2) characterize the impact of using different QPEs in estimation of hydrological variables using a hydrology model, and 3) understand the usability of satellite-derived QPEs for eight cases of TC and its impact on the estimate of hydrological variables. The QPEs include near real-time and post-processed satellite data from NASA’s Global Precipitation Mission-Integrated Multi-sensor Retrievals for GPM Rainfall Product (IMERG), merged ground radar observations (Stage IV) from the National Centers for Environmental Prediction (NCEP), and interpolated gauge observations from the National Weather Service Cooperative Observer Program (GCOOP). The study quantifies how differences in rainfall intensity and location, as derived from these gridded precipitation datasets, impact surface hydrology. The Variable Infiltration Capacity (VIC) model and the geographic information system (GIS) routing assess the propagation of bias in the daily rainfall rate to total runoff, evapotranspiration, and flooding. The analysis covers eight tropical cyclones, including Hurricane Charley (2004), Hurricane Frances (2004), Hurricane Jeanne (2004), Tropical Storm Fay (2008), Tropical Storm Beryl (2012), Tropical Storm Debby (2012), Hurricane Irma (2017) and Hurricane Michael (2018) focusing on different regions in South-Atlantic Gulf region and land uses. The findings indicate that IMERG underpredicts precipitation at higher quantiles but aligns closely with ground-based and radar-based products at lower quantiles. IMERG reliably estimates total runoff and evapotranspiration in 90% of TC scenarios along the track and in agricultural and forested regions. There is substantial overlap ~ 70% between IMERG and GCOOP/Stage IV for the 90th percentile rainfall spatially for the case of TC Beryl 2012. Despite previous perceptions of underestimation, the study suggests that satellite-derived rainfall products can be valuable in simulating streamflow, particularly in data-scarce regions where ground estimates are lacking. The relative error in estimation is 12% and 22% when using IMERG instead of Stage IV and GCOOP rainfall data. The findings contribute to a broader perspective on usability of IMERG in estimating near real-time hydrological characteristics, paving the way for further research in this area. This analysis demonstrates that IMERG can be a reliable data product for hydrological studies even in the extreme events like landfalling TCs. This will be helpful in improving the preparedness of vulnerable communities and infrastructure against TC-induced flooding in data scare regions.</p>