Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Compound flooding"”.
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Investigating Compound Flood Using Remote Sensing And Hydrodynamic Modeling
<p>Flooding is a frequent and destructive natural disaster that poses serious risks to infrastructure and socio-environmental systems. It involves multiple processes (e.g., coastal, pluvial, and fluvial) that can combine to cause more devastation than any process alone, called compound flooding …
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Enhancing Compound Flood Modeling through Efficient Data-Driven, Physics-based, and Transfer Learning Frameworks
Compound flooding in coastal and estuarine systems typically occurs during tropical and extratropical cyclones, yet its evolution in space and time remains difficult to predict using data-driven or physics-based modeling approaches. Compound flooding arises from either concurrent or successive …
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Data-Driven Method to Improve High Resolution Flood Risk Assessments
… chapter addresses the complex phenomenon of compound flooding, where multiple flood drivers such as storm tide, river discharges, and heavy rainfall interact. Focusing on Galveston Bay, Texas, a deep learning algorithm, convolutional neural network (CNN), specifically a U-Net algorithm, was …
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Modeling the Effects of Sea-Level Rise on Flooding in the Lower Ozama River Basin, Santo Domingo, Dominican Republic
… framework to evaluate the impacts of SLR and compound fluvial and tidal interactions on flooding in the lower Ozama River Basin, Santo Domingo. A one-dimensional (1D) HEC-RAS model was reconstructed from Belliard (2020) with newly incorporated bathymetric data, while a two-dimensional (2D) …