From Hazard to Impact: Smart Flood Forecast System and Damage Prediction

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dc.contributorMoftakhari, Hamed
dc.contributorMekonnen, Mesfin
dc.contributorShao, Wanyun
dc.contributorCohen, Sagy
dc.contributor.advisorMoradkhani, Hamid
dc.contributor.authorAlipour, Atieh
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-01-27
dc.date.available2023-01-27
dc.date.issued2022
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractFloods are among the most devastating natural hazards across the globe, and it isexpected to be escalated in the future mostly due to the warming climate. Depside tremendousnational governments' protection efforts, they still result in the loss of lives and properties.Understanding flood dynamics and developing fast and reliable flood forecasting systems areessential for mitigating the associated risks and implementing proactive risk managementstrategies. This dissertation is an attempt to characterize flood hazard and enhance flood riskassessment by leveraging enhanced statistical approaches and recent physical models. The firstfour chapters present previous peer-reviewed studies and are as follows:The first chapter is on assessing flash flood characteristics including frequency, duration,and intensity in addition to their associated property damages. The second chapter presents asystematic framework that considers a variety of features explaining different components ofrisk and examines multiple machine learning methods to predict flash flood damage. In chapterthree, we assess the sensitivity of the HEC-RAS 2D to its configuration factors and parameters.In chapter four, we are developing a new tropical cyclone scaling system that uses Copulas forcategorizing Tropical Cyclones (TCs) based on the likelihood of a given set of severity forrainfall, surge, and wind speed. Finally, in chapter five, we present a systematic framework thatuses Deep Learning (DL) algorithms, and hydrodynamic models to generate probabilistic floodwater levels at different locations along coastal rivers.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.otherhttp://purl.lib.ua.edu/186761
dc.identifier.otheru0015_0000001_0004585
dc.identifier.otherAlipour_alatus_0004D_15024
dc.identifier.urihttps://ir.ua.edu/handle/123456789/9873
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.titleFrom Hazard to Impact: Smart Flood Forecast System and Damage Predictionen_US
dc.typethesis
dc.typetext
etdms.degree.departmentUniversity of Alabama. Department of Civil, Construction, and Environmental Engineering
etdms.degree.disciplineHydrologic sciences
etdms.degree.grantorThe University of Alabama
etdms.degree.leveldoctoral
etdms.degree.namePh.D.

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