During high-impact weather events like Hurricane Harvey, broadcast meteorologists take on the role of sensegiver, as they develop frameworks to help their viewers make sense of the storm. These frameworks are communicated through rhetorical choices evident in the language the meteorologists use to describe the storm’s threat and impact. This study investigates the rhetorical choices of KHOU broadcast meteorologists during Hurricane Harvey in order to make sense of the disaster, using an inductive thematic analysis. The results indicate that the KHOU broadcasters framed Harvey figuratively as an all-encompassing monster and a heat-seeking machine. The meteorologists used emotionally intense language to emphasize their concern about the forecast, to compare the event to previous flooding disasters, to describe Harvey’s catastrophic impact, and to express disbelief regarding the situation unfolding around them. These results show how sensegiving can be articulated rhetorically via specific language features like describing Harvey as a monster, or comparing Harvey’s impact to Hurricane Katrina. These specific language features identified here should be tested for their effectiveness in order to allow meteorologists across the weather enterprise to speak about threats and impacts in a more consistent manner.

This study uses topographic profiles, washover fan volumes, and shoreline retreat rates to explore relationships between barrier types and Hurricane Harvey storm washover sedimentation. Pre- and post-Hurricane Harvey topographic profiles were created on 15 transects using Bare Earth LiDAR (2016) and surveyed elevations (2019). Depth and area of washover fan measurements were collected to estimate washover fan volumes. An inverse relationship was found between washover fan volume and pre- and post-storm barrier heights. Based on the topographic profiles, one section of shoreline had a scarp up to 3m high which blocked overwash, but appears to have increased shoreline erosion. In contrast, a low-lying section of shoreline generated relatively large washover fans, but experienced less shoreline retreat. Shoreline retreat was further quantified between 2014 and 2019 using Google Earth Imagery from 2014, 2016, 2017, and 2019 to track migration of the shoreline. The entire shoreline in the study area is undergoing relatively rapid retreat, but the results suggest that Hurricane Harvey increased erosional rates. The Colorado River Jetty borders the study area and may have acted as an anthropogenic barrier, likely reducing storm surge energy and contributing to marsh aggradation on transects in its close proximity. The study findings indicate that the identification and incorporation of other variables that influence washover magnitude would further the understanding of this complex natural system. The research results provide valuable information on the interaction of hurricane storm surge with natural and anthropogenic barriers, beach and dune erosion, and marsh aggradation along the coast of Texas.

Resiliency measurement is a great tool for evaluating system performance and proposing solutions to prevent damage and to recover from disruptive events. This study proposes an analytic approach to quantify narrow waterway systems’ resiliency during disasters. First, metrics are introduced to quantify the resiliency before, during, and after a disruption. The existing Key Performance Indicators (KPIs) for Maritime Transportation Systems (MTS) are examined, and two metrics, 1) the number of inbound and outbound vessels and 2) Total Stopped Vessel-Hours, are selected to measure the resiliency of a waterway system. Second, a heuristic method is developed to derive the KPIs from the Automatic Identification System (AIS) data. Finally, the proposed methodology is performed for the Houston Ship Channel (HSC) AIS data before, during, and after Hurricane Harvey, in August 2017. The results are presented for the entire channel and highlight useful information about the performance of individual docks, terminals, and waterway zones within HSC. This study helps decision-makers identify the weaknesses and potential bottlenecks in a waterway confronting a disruption and come up with remedies.

Social media plays an important role during multiple phases of a disaster. While it is widely known that citizens turn to social media during disasters to gain information and send help requests, there is a significant gap in our knowledge of how, or if, first responders use social media to conduct disaster response operations. To help address this gap this study employed qualitative, semi-structured interviews with a sample of first responders (N = 20) who were deployed to Hurricane Harvey in 2017. The interviews sought to gain a better understanding of how social media was used to conduct response operations and identify both limitations and advantages of social media as perceived by first responders. Through a systematic coding process the analysis identified four themes related to social media usage among first responders to disasters: (1) more than just Twitter; (2) rumor has it; (3) one size does not fit all; and (4) timing is everything. The findings of this research highlight the importance of social media for both organizations and individuals involved in responding to disasters.

This dissertation analyzes how local governments adapt to the fiscal stress of major disasters. Unifying theories of fiscal stress with emergency management theories, the dissertation presents a model of what influences local governments coping strategy use following disasters. Using new survey data and secondary financial data on cities, counties, and school districts that experienced Hurricane Harvey, findings show that local governments adapt in a variety of ways; of 137 local governments that responded, 66 percent used some number of coping strategies, with only 5 of 62 possible strategies not being used by any local governments. For those which did adapt, they on average used 7.06 strategies, and tended to show a preference towards revenue increasing strategies and rebuilding the community through new capital projects, with less emphasis on expenditure cuts compared to some prior literature findings on fiscal stress. The results indicate that local governments step up and provide new services necessary during the recovery process, to serve their community, despite fiscal stress. A negative binomial model shows partial support for the hypotheses that local governments with lower prior fiscal condition and greater hazard exposure will use more coping strategies. The findings show mixed results on whether institutional rules that restrict financial structures lead school districts to use more coping strategies than cities during the recovery process.

The thesis examines post-event displacement of households in the year following Hurricane Harvey. Using data gathered from a three-page mail survey conducted approximately 1-year after the storm, this study examines two primary research objectives. First this thesis aims to identify variables that predict displacement or non-displacement after the disaster. Second, this study explores patterns in the destination and duration of displaced households following Hurricane Harvey. Logistic regression analyses were used to examine the extent to which household composition characteristics and level of damage sustained during Hurricane Harvey predicted post-disaster displacement. Next, independent sample t-tests and descriptive statistical analyses were used to identify patterns in the destination of post-event relocations. Research findings indicate in the overall binary logistic regression model that after Hurricane Harvey, being White, level of home damage, wind damage, and number of days a member of the household returned home post-Harvey increased the likelihood of a household being displaced. Analysis of the survey responses also indicated that many households made multiple moves following Hurricane Harvey and specifically, displaced households were more likely to stay with a friend or relative. Additionally, this study found that with each additional relocation, the duration of stay at each destination increased while the distance from their pre-disaster home decreased. This thesis advances understanding of what predicts household displacement after a disaster and offers new insights into where people go during the short-term and beginning of the long-term recovery phases.

This thesis uses flooding driven by Hurricane Harvey in 2017 and a history of inundation in Houston, Texas to critique the systems of floodplain mapping through the National Flood Insurance Program (NFIP). The role of Geographic Information Systems becomes a subject of interest in the context of U.S governance and the role of property as a driving force in urban development. The shortcomings of existing systems of mitigation are examined through mappings that bring measures of risk, damage, and recovery into contrast with each other. Racial and economic inequality are integrated into the analysis through a deeper consideration of the NFIP as the main form of federal protection against losses. Seeing that the NFIP has not protected the true status quo of urban life, it is argued that public perceptions of risk are formed contrary to the logic of home insurance, leading to observable inequalities in preparation and recovery

Situated in one of the wettest climates in America, Houston, TX has had a long history of heavy rains and unprecedented floods. Unfortunately, floods have become more common over the last few decades as climate change increases the frequency and intensity of hurricanes around the globe. To complicate matters further, Houston has quickly sprawled to accommodate over 2.5 billion people. Rapid urbanization has rendered the landscape even more susceptible to floods through excess concretization and watershed disturbance. This thesis traces the history of the Bayou City in relation to the damages caused by Hurricane Harvey. By mapping out the original neighborhoods and the current demographics of the city, I argue that low-income and minority groups have been systematically forced into higher-risk floodplains via prejudice housing practices. Furthermore, I explore the roles of the National Insurance Flood Program (NIFP) and the Federal Emergency Management Agency (FEMA) in the rebuilding of the city following Harvey, and I detail the sudden spike in unsheltered homeless people across the region. The thesis closes by critiquing projects that have been proposed for the future well-being of Houston (i.e. reservoir remediation, conveyance projects, coastal dykes, etc.). Evidently, local and outside experts across fields and organizations need to cooperate to determine the immediate and specific needs of neighborhoods and people across the city of Houston.

<div>With increasing focus on large scale planning and allocation of resources for protection against future flood risk, it is necessary to analyze and improve the deficiencies in the conventional flood modeling approach through a better understanding of the interactions between river hydrodynamics and subsurface processes. Recent studies have shown that it is possible to improve the flood inundation modeling and mapping using physically-based integrated models that incorporate observable data through assimilation and simulate hydrologic fluxes using the fundamental laws of conservation of mass at multiple spatiotemporal scales. However, despite the significance of integrated modeling in hydrology, it has received relatively less attention within the context of flood hazard. The overall aim of this dissertation is to study the heterogeneity in complex physical processes that govern the watershed response during flooding and incorporate these effects in integrated models across large scales for improved flood risk estimation. Specifically, this dissertation addresses the following questions: (1) Can physical process incorporation using integrated models improve the characterization of antecedent conditions and increase the accuracy of the watershed response to flood events? (2) What factors need to be considered for characterizing scale-dependent physical processes in integrated models across large watersheds? (3) How can the computational efficiency and process representation be improved for modeling flood events at large scales? (4) Can the applicability of integrated models be improved for capturing the hydrodynamics of unprecedented flood events in complex urban systems?</div><div><br></div><div>To understand the combined effect of surface-subsurface hydrology and hydrodynamics on streamflow generation and subsequent inundation during floods, the first objective incorporates an integrated surface water-groundwater (SW-GW) modeling approach for simulating flood conditions. The results suggest that an integrated model provides a more realistic simulation of flood hydrodynamics for different antecedent soil conditions. Overall, the findings suggest that the current practice of simulating floods which assumes an impervious surface may not be providing realistic estimates of flood inundation, and that an integrated approach incorporating all the hydrologic and hydraulic processes in the river system must be adopted.</div><div><br></div><div>The second objective focuses on providing solutions to better characterize scale-dependent processes in integrated models by comparing two model structures across two spatial scales and analyzing the changes in flood responses. The results indicate that since the characteristic length scales of GW processes are larger than SW processes, the intrinsic scale (or resolution) of GW in integrated models should be coarser when compared to SW. The results also highlight the degradation of streamflow prediction using a single channel roughness when the stream length scales are increased. A distributed channel roughness variable along the stream length improves the modeled basin response. Further, the results highlight the ability of a dimensionless parameter 𝜂1, representing the ratio of the reach length in the study region to maximum length of the single stream draining at that point, for identifying which streams may require a distributed channel roughness.</div><div><br></div><div>The third objective presents a hybrid flood modeling approach that incorporates the advantages of both loosely-coupled (‘downward’) and integrated (‘upward’) modeling approaches by coupling empirically-based and physically-based approaches within a watershed. The computational efficiency and accuracy of the proposed hybrid modeling approach is tested across three watersheds in Indiana using multiple flood events and comparing the results with fully- integrated models. Overall, the hybrid modeling approach results in a performance comparable to a fully-integrated approach but at a much higher computational efficiency, while at the same time, providing objective-oriented flexibility to the modeler.</div><div><br></div><div>The fourth objective presents a physically-based but computationally-efficient approach for modeling unprecedented flood events at large scales in complex urban systems. The application of the proposed approach results in accurate simulation of large scale flood hydrodynamics which is shown using Hurricane Harvey as the test case. The results also suggest that the ability to control the mesh development using the proposed flexible model structure for incorporating important physical and hydraulic features is as important as integration of distributed hydrology and hydrodynamics.</div>

When governments are unable or unwilling to provide necessary relief to communities, local faith-based congregations (FBCs) step in and fill the gap. Though shown to provide for so many needs following disaster, FBCs have largely been left out of the institutional emergency management cycle. The aim of this study was to explore the role of FBCs in the disaster response and recovery process and investigate how recovery impacts FBCs. The primary objective of this study is to gain a better understanding of FBCs and how to better integrate them into the formal emergency management process.The main questions were as follows: First, what is the role of FBCs during the disaster recovery process? Second, how do FBCs change (temporarily and permanently) during disaster recovery, and what factors may promote or inhibit change? To answer these questions, qualitative semistructured interviews were held to develop a case study of Katy, Texas and its recovery from Hurricane Harvey of 2017. The applied and conceptual implications resulting from this study, which apply to FBCs, researchers, emergency managers, and policy makers, highlight the opportunity to better incorporate FBCs formally into emergency management practices.