Hydrologic Modeling of the Lower Chesapeake Bay Watershed Using HECC-HMS with Implications for Future Coupled Coastal Modeling

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.

Institutions

Publication Details

Journal
ODU Digital Commons (Old Dominion University)
Published
2024-10-07
DOI
https://doi.org/10.25777/azr7-4v73
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydrologic Modeling of the Lower Chesapeake Bay Watershed Using HECC-HMS with Implications for Future Coupled Coastal Modeling

ODU Digital Commons (Old Dominion University)
Tropical and Extratropical Cyclones Research
article

Hydrologic Modeling of the Lower Chesapeake Bay Watershed Using HECC-HMS with Implications for Future Coupled Coastal Modeling

article en

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.

ODU Digital Commons (Old Dominion University)
Dominion University College (GH), Old Dominion University (US)
Life below water
Openalex Percentile: Top 63%
Tropical and Extratropical Cyclones Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.