Remapping Flood Hazard in Houston Using Stochastic Storm Transposition and Probabilistic Flood Modeling

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dc.contributor.advisorBedient, Philip Ben_US
dc.creatorWyderka, Allison Michelleen_US
dc.date.accessioned2023-08-09T18:52:59Zen_US
dc.date.created2023-05en_US
dc.date.issued2023-04-20en_US
dc.date.submittedMay 2023en_US
dc.date.updated2023-08-09T18:52:59Zen_US
dc.description.abstractThis thesis proposes an alternative for mapping flood risk and applies the methodology to the Houston area, where recent storm events and subsequent flood damages have highlighted the need for improved flood risk mapping. Houston’s flat slopes, intense rain, and high urbanization cause significant flooding that is not captured in official floodplain maps. These floodplain maps form the basis of flood insurance requirements, so it is critical that they accurately represent the properties that are at risk of flooding. This thesis proposes the use of stochastic storm transposition, which is able to create artificial rainfall records on the order of hundreds of years while maintaining storm structure. This method is then used in conjunction with probabilistic modeling to account for uncertainty in rain events. While many studies have explored the use of probabilistic flood modeling to better map flood hazard, few studies have captured the range of uncertainty in the rainfall input due to spatiotemporal variation, duration, and intensity of rain events. Additionally, 2D hydraulic modeling is used to capture local flooding in addition to riverine flooding. The resulting flood hazard maps more reliably capture flood hazard than official FEMA floodplains maps, demonstrating that the methodology presented here in this thesis should be further explored and considered as an alternative to the current official floodplain maps.en_US
dc.embargo.lift2024-05-01en_US
dc.embargo.terms2024-05-01en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationWyderka, Allison Michelle. "Remapping Flood Hazard in Houston Using Stochastic Storm Transposition and Probabilistic Flood Modeling." (2023) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/115155">https://hdl.handle.net/1911/115155</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/115155en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectProbabilistic flood modelingen_US
dc.subjectstochastic storm transpositionen_US
dc.subject2D hydraulic modelingen_US
dc.subjectflood hazarden_US
dc.subjectfloodplain mapsen_US
dc.titleRemapping Flood Hazard in Houston Using Stochastic Storm Transposition and Probabilistic Flood Modelingen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentCivil and Environmental Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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