A Numerical Study of Hypoxia in Chesapeake Bay Using an Unstructured Grid Model: Validation and Sensitivity to Bathymetry Representation

Author:

Cai Xun1ORCID,Zhang Yinglong J.1ORCID,Shen Jian1,Wang Harry1,Wang Zhengui2,Qin Qubin1,Ye Fei1

Affiliation:

1. Virginia Institute of Marine Science William & Mary Gloucester Point Virginia USA

2. School of Marine Science University of Maine Orono Maine USA

Funder

Department of Water Resources

National Science Foundation

Office of Naval Research

Publisher

Wiley

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Reference40 articles.

1. Combining observations and numerical model results to improve estimates of hypoxic volume within the Chesapeake Bay, USA

2. Ecological forecasting in Chesapeake Bay: Using a mechanistic–empirical modeling approach

3. Cai X.2018. “Impact of Submerged Aquatic Vegetation on Water Quality in Cache Slough Complex Sacramento‐San Joaquin Delta: A Numerical Modeling Study.” Master thesis College of William and Mary.https://doi.org/10.25773/v5‐8snw‐1660.

4. Impacts of Sea Level Rise on Hypoxia and Phytoplankton Production in Chesapeake Bay: Model Prediction and Assessment;Cai X.;Journal of the American Water Resources Association

5. Simulation of Long-Term Trends in Chesapeake Bay Eutrophication

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