Date of Award

Summer 2024

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Civil & Environmental Engineering

Program/Concentration

Civil Engineering

Committee Director

Gangfeng Ma

Committee Member

Navid Tahvildari

Committee Member

Mujde Erten-Unal

Abstract

This study explores the hydrological methodology for modeling a coastal watershed basin using the US Army Corps of Engineers hydrologic software, HEC-HMS with an objective of being able to create riverine boundary conditions that could be applied to a coupled compound flood model. Compound flooding is defined as high water inundation event that occurs due to the simultaneous occurrence of multiple flooding drivers. The Atlantic Seaboard and the Gulf of Mexico regions of the United States account for most of the compound events observed in the United States with a higher occurrence caused by hurricanes from July to November. In this study three events were modeled for the Lower Chesapeake Watershed in Virginia: Tropical Storm Andrea, Michael, and Zeta. Each event was modeled using Modified Clark transform, simple canopy interception and loss, Green and Ampt or deficit & constant infiltration loss, linear base flow, and Muskingum-Cunge routing. Gridded precipitation and temperature were applied as boundary conditions for each event. Results from the models indicated large differences between event model parameters with difficulties in modeling and calibrating the coastal transition zone. Calibration statistics to observed data was generally within acceptable statistical parameters using Nash Sutcliff, R-squared, and percent bias.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/azr7-4v73

ISBN

9798384444299

ORCID

0009-0003-8478-4753

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