Next Article in Journal
Wave Energy Converter Annual Energy Production Uncertainty Using Simulations
Next Article in Special Issue
Effects of Harbor Shape on the Induced Sedimentation; L-Type Basin
Previous Article in Journal
STORMTOOLS: Coastal Environmental Risk Index (CERI)
Previous Article in Special Issue
Performance Assessment of NAMI DANCE in Tsunami Evolution and Currents Using a Benchmark Problem
Article

Application of an Unstructured Grid-Based Water Quality Model to Chesapeake Bay and Its Adjacent Coastal Ocean

by * and
Department of Natural Sciences, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Richard P. Signell
J. Mar. Sci. Eng. 2016, 4(3), 52; https://doi.org/10.3390/jmse4030052
Received: 11 July 2016 / Revised: 16 August 2016 / Accepted: 18 August 2016 / Published: 1 September 2016
To provide insightful information on water quality management, it is crucial to improve the understanding of the complex biogeochemical cycles of Chesapeake Bay (CB), so a three-dimensional unstructured grid-based water quality model (ICM based on the finite-volume coastal ocean model (FVCOM)) was configured for CB. To fully accommodate the CB study, the water quality simulations were evaluated by using different horizontal and vertical model resolutions, various wind sources and other hydrodynamic and boundary settings. It was found that sufficient horizontal and vertical resolution favored simulating material transport efficiently and that winds from North American Regional Reanalysis (NARR) generated stronger mixing and higher model skill for dissolved oxygen simulation relative to observed winds. Additionally, simulated turbulent mixing was more influential on water quality dynamics than that of bottom friction: the former considerably influenced the summer oxygen ventilation and new primary production, while the latter was found to have little effect on the vertical oxygen exchange. Finally, uncertainties in riverine loading led to larger deviation in nutrient and phytoplankton simulation than that of benthic flux, open boundary loading and predation. Considering these factors, the model showed reasonable skill in simulating water quality dynamics in a 10-year (2003–2012) period and captured the seasonal chlorophyll-a distribution patterns. Overall, this coupled modeling system could be utilized to analyze the spatiotemporal variation of water quality dynamics and to predict their key biophysical drivers in the future. View Full-Text
Keywords: FVCOM-ICM; Chesapeake Bay; water quality; nutrient; phytoplankton; dissolved oxygen FVCOM-ICM; Chesapeake Bay; water quality; nutrient; phytoplankton; dissolved oxygen
Show Figures

Graphical abstract

MDPI and ACS Style

Xia, M.; Jiang, L. Application of an Unstructured Grid-Based Water Quality Model to Chesapeake Bay and Its Adjacent Coastal Ocean. J. Mar. Sci. Eng. 2016, 4, 52. https://doi.org/10.3390/jmse4030052

AMA Style

Xia M, Jiang L. Application of an Unstructured Grid-Based Water Quality Model to Chesapeake Bay and Its Adjacent Coastal Ocean. Journal of Marine Science and Engineering. 2016; 4(3):52. https://doi.org/10.3390/jmse4030052

Chicago/Turabian Style

Xia, Meng, and Long Jiang. 2016. "Application of an Unstructured Grid-Based Water Quality Model to Chesapeake Bay and Its Adjacent Coastal Ocean" Journal of Marine Science and Engineering 4, no. 3: 52. https://doi.org/10.3390/jmse4030052

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop