Modeling Workgroup Publications

Showing 1 - 60 of 76 publications

Simulation of benthic microalgae impacts on water quality in shallow water systems, Corsica River, Chesapeake Bay

Publication date:

Tian, R., Cai, X., Cerco, C.F., Zhang, J.Y., and Linker, L.C., 2024. "Simulation of benthic microalgae impacts on water quality in shallow water systems, Corsica River, Chesapeake Bay." Frontiers in Marine Science. Volume 10 - 2023. 10:1295986. https://doi.org/10.3389/fmars.2023.1295986.

View document [PDF, 9.7 MB] Simulation of benthic microalgae impacts on water quality in shallow water systems, Corsica River, Chesapeake Bay

The Roles of Tidal Marshes in the Estuarine Biochemical Processes: A Numerical Modeling Study

Publication date:

Cai, X., Shen, J., Zhang, Y. J., Qin, Q., & Linker, L. (2023). "The roles of tidal marshes in the estuarine biochemical processes: A numerical modeling study." Journal of Geophysical Research: Biogeosciences, 128, e2022JG007066. https://doi.org/10.1029/2022JG...

View document [PDF, 4.2 MB] The Roles of Tidal Marshes in the Estuarine Biochemical Processes: A Numerical Modeling Study

Simulating climate change in a coastal watershed with an integrated suite of airshed, watershed, and estuary models

Publication date:

Linker, L.C., Shenk, G.W., Bhatt, G., Tian, R., Cerco, C.F., and Bertani, I. 2023. “Simulating climate change in a coastal watershed with an integrated suite of airshed, watershed, and estuary models.” JAWRA Journal of the American Water Resources Association 00 (0): 1–30. https://doi.org/10.1111/1752-1688.13185.

View document [PDF, 27.0 MB] Simulating climate change in a coastal watershed with an integrated suite of airshed, watershed, and estuary models

The Chesapeake Bay Land Change Model: Simulating future land use scenarios and potential impacts on water quality

Publication date:

Claggett, P.R., Ahmed, L., Irani, F.M., McDonald, S., Thompson, R.L. 2023. "The Chesapeake Bay Land Change Model: Simulating future land use scenarios and potential impacts on water quality." Journal of the American Water Resources Association 59 (6): 1287–1312. https://doi.org/10.1111/1752-1688.13131.

View document [PDF, 15.4 MB] The Chesapeake Bay Land Change Model: Simulating future land use scenarios and potential impacts on water quality

Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed

Publication date:

Bhatt, G., Linker, L., Shenk, G., Bertani, I., Tian, R., Rigelman, J., Hinson, K., and Claggett, P. 2023. “Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed.” JAWRA Journal of the American Water Resources Association 59 (6): 1313–1341. https://doi.org/10.1111/1752-1688.13144.

View document [PDF, 20.6 MB] Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed

Interactions of warming and altered nutrient load timing on the phenology of oxygen dynamics in Chesapeake Bay

Publication date:

Basenback, N., Testa, J.M., Shen, C. 2023. "Interactions of warming and altered nutrient load timing on the phenology of oxygen dynamics in Chesapeake Bay." Journal of the American Water Resources Association 59 (2): 429–445. https://doi.org/10.1111/1752-1688.13101

View document [PDF, 13.7 MB] Interactions of warming and altered nutrient load timing on the phenology of oxygen dynamics in Chesapeake Bay

Quantifying the Response of Nitrogen Speciation to Hydrology in the Chesapeake Bay Watershed Using a Multilevel Modeling Approach

Publication date:

Bertani, I., G. Bhatt, G.W. Shenk, and L.C. Linker. 2022. "Quantifying the Response of Nitrogen Speciation to Hydrology in the Chesapeake Bay Watershed Using a Multilevel Modeling Approach." Journal of the American Water Resources Association 58 (6): 792–804. https://doi.org/10.1111/1752-1...

View document [PDF, 1.3 MB] Quantifying the Response of Nitrogen Speciation to Hydrology in the Chesapeake Bay Watershed Using a Multilevel Modeling Approach

Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay

Publication date:

Tian, R., C.F. Cerco, G. Bhatt, L.C. Linker, and G.W. Shenk. 2022. "Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay." Journal of the American Water Resources Association 58 (6): 855–875. https://doi.org/10.1111/1752-1....

View document [PDF, 3.8 MB] Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay

Modeling Impacts of Nutrient Loading, Warming, and Boundary Exchanges on Hypoxia and Metabolism in a Shallow Estuarine Ecosystem

Publication date:

Testa, J.M., N. Basenback, C. Shen, K. Cole, A. Moore, C. Hodgkins, and D.C. Brady. 2022. "Modeling Impacts of Nutrient Loading, Warming, and Boundary Exchanges on Hypoxia and Metabolism in a Shallow Estuarine Ecosystem." Journal of the American Water Resources Association 58 (6): 876–897. https://doi.org/10.1111/1752-1....

View document [PDF, 6.4 MB] Modeling Impacts of Nutrient Loading, Warming, and Boundary Exchanges on Hypoxia and Metabolism in a Shallow Estuarine Ecosystem

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

Publication date:

Cai, X., Y.J. Zhang, J. Shen, H. Wang, Z. Wang, Q. Qin, and F. Ye. 2022. "A Numerical Study of Hypoxia in Chesapeake Bay Using an Unstructured Grid Model: Validation and Sensitivity to Bathymetry Representation." Journal of the American Water Resources Association 58 (6): 898–921. https://doi.org/10.1111/1752-1...

View document [PDF, 15.5 MB] A Numerical Study of Hypoxia in Chesapeake Bay Using an Unstructured Grid Model: Validation and Sensitivity to Bathymetry Representation

Impacts of Sea-Level Rise on Hypoxia and Phytoplankton Production in Chesapeake Bay: Model Prediction and Assessment

Publication date:

Cai, X., J. Shen, Y.J. Zhang, Q. Qin, Z. Wang, and H. Wang. 2022. "Impacts of Sea-Level Rise on Hypoxia and Phytoplankton Production in Chesapeake Bay: Model Prediction and Assessment." Journal of the American Water Resources Association 58 (6): 922–939. https://doi.org/10.1111/1752-1....

View document [PDF, 3.3 MB] Impacts of Sea-Level Rise on Hypoxia and Phytoplankton Production in Chesapeake Bay: Model Prediction and Assessment

Technical Advisory Committee on Simulating Living Resources in the Long Island Sound Integrated Model - Final Report

Publication date:

In 2020, New York City Department of Environmental Protection (DEP) initiated a project to develop an updated comprehensive hydrodynamic and water quality model for Long Island (LIS). The DEP Long Island Sound Hydrodynamic and Water Quality Modeling Support project (LIS-HWQMS) includes the development of updated hydrodynamic and water quality models (HWQMS) of LI Sound. The LIS-HWQMS provides the physical and biogeochemical components of the overall Integrated Model Framework (IMF) to ensure that physical, biogeochemical, and living resource sub-models provide science-based representations of how these sub-models drive circulation and mixing, biogeochemical interactions that control dissolved oxygen (especially the onset and persistence of hypoxia), nutrient cycling, eutrophication, water clarity, ecological processes and living resources in estuarine and coastal waters.

View document [PDF, 3.5 MB] Technical Advisory Committee on Simulating Living Resources in the Long Island Sound Integrated Model - Final Report

Simulation of high-frequency dissolved oxygen dynamics in a shallow estuary, the Corsica River, Chesapeake Bay

Publication date:

Tian R, Cai X, Testa JM, Brady DC, Cerco CF and Linker LC (2022) Simulation of high-frequency dissolved oxygen dynamics in a shallow estuary, the Corsica River, Chesapeake Bay. Front. Mar. Sci. 9:1058839. doi: 10.3389/fmars.2022.1058839

View document [PDF, 7.9 MB] Simulation of high-frequency dissolved oxygen dynamics in a shallow estuary, the Corsica River, Chesapeake Bay

Nutrient limitation of phytoplankton in three tributaries of Chesapeake Bay: Detecting responses following nutrient reductions

Publication date:

Zhang, Q., Fisher, T.R., Buchanan, C., Gustafson, A.B., Karrh, R.R., Murphy, R.R., Testa, J.M., Tian, R., Tango, P.J. Nutrient limitation of phytoplankton in three tributaries of Chesapeake Bay: Detecting responses following nutrient reductions. Water Research, Volume 226, 2022, 119099, ISSN 0043-1354, https://doi.org/10.1016/j.watr....

View document [PDF, 5.4 MB] Nutrient limitation of phytoplankton in three tributaries of Chesapeake Bay: Detecting responses following nutrient reductions

Using Forward and Backward Particle Tracking Approaches to Analyze Impacts of a Water Intake on Ichthyoplankton Mortality in the Appomattox River

Publication date:

Qin, Q., Shen, J., Tuckey, T.D., Cai, X., Xiong, J. Using Forward and Backward Particle Tracking Approaches to Analyze Impacts of a Water Intake on Ichthyoplankton Mortality in the Appomattox River. Journal of Marine Science and Engineering. 2022; 10(9):1299. https://doi.org/10.3390/jmse10...

View document [PDF, 3.8 MB] Using Forward and Backward Particle Tracking Approaches to Analyze Impacts of a Water Intake on Ichthyoplankton Mortality in the Appomattox River

Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change

Publication date:

Douglas A. Burns, Gopal Bhatt, Lewis C. Linker, Jesse O. Bash, Paul D. Capel, Gary W. Shenk, Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change, Atmospheric Environment, Volume 251, 2021, 118277, ISSN 1352-2310, https://doi.org/10.1016/j.atmosenv.2021.118277.

View document [PDF, 1.6 MB] Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change

Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay

Publication date:

Tian, R., C.F. Cerco, G. Bhatt, L.C. Linker, and G.W. Shenk. 2021. "Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay." Journal of the American Water Resources Association 1–21. https://doi.org/10.1111/1752-1.... 12907.

View document [PDF, 3.7 MB] Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay

Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed

Publication date:

Campbell, P. C., Bash, J. O., Nolte, C. G., Spero, T. L., Cooter, E. J., Hinson, K., & Linker, L. C. (2019). Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed. Journal of Geophysical Research: Biogeosciences, 124. https://doi.org/ 10.1029/2019JG005203.

View document [PDF, 8.6 MB] Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed

Factors controlling saltwater intrusion across multi-time scales in estuaries, Chester River, and Chesapeake Bay

Publication date:

Tian, R. Factors controlling saltwater intrusion across multi-time scales in estuaries, Chester River, Chesapeake Bay. Estuarine, Coastal and Shelf Science. Volume 223, 2019, Pages 61-73, https://doi.org/10.1016/j.ecss....

View document [PDF, 3.4 MB] Factors controlling saltwater intrusion across multi-time scales in estuaries, Chester River, and Chesapeake Bay

Assessing Water Quality of the Chesapeake Bay by the Impact of Sea Level Rise and Warming

Publication date:

P. Wang, L. Linker, H. Wang, G. Bhatt, G. Yactayo, K. Hinson and R. Tian, "Assessing water quality of the Chesapeake Bay by the impact of sea level rise and warming." 2017 IOP Conf. Ser.: Earth Environ. Sci. 82 012001 https://doi.org/10.1088/1755-1315/82/1/012001.

View document [PDF, 1.6 MB] Assessing Water Quality of the Chesapeake Bay by the Impact of Sea Level Rise and Warming

Influence of Wind Strength and Duration on Relative Hypoxia Reductions, Wang P et al 2016

Publication date:

Wang P, Wang H, Linker L, Hinson K. Influence of Wind Strength and Duration on Relative Hypoxia Reductions by Opposite Wind Directions in an Estuary with an Asymmetric Channel. Journal of Marine Science and Engineering. 2016; 4(3):62. https://doi.org/10.3390/jmse4030062

View document [PDF, 5.7 MB] Influence of Wind Strength and Duration on Relative Hypoxia Reductions, Wang P et al 2016

Geographically Isolated Loading Scenarios to Analyze N and P Exchanges and Explore Nutrient Controls

Publication date: Not listed

Wang, P., Linker, L.C. & Shenk, G.W. Using Geographically Isolated Loading Scenarios to Analyze Nitrogen and Phosphorus Exchanges and Explore Tailored Nutrient Control Strategies for Efficient Management. Environ Model Assess 21, 437–454 (2016). https://doi.org/10.1007/s10666-015-9487-x.

View document [PDF, 1.9 MB] Geographically Isolated Loading Scenarios to Analyze N and P Exchanges and Explore Nutrient Controls

Calculation of Oyster Benefits with a Bioenergetics Model of the Virginia Oyster - April Draft

Publication date:

A bioenergetics model is formulated and validated for the Virginia oyster (Crassostrea virginica). The model considers two basic properties of a bivalve population: number of individuals and individual size. Individuals are represented as three energy stores: soft tissue, shell, and reproductive material. The bioenergetics model is coupled to an oyster benefits module. Calculated benefits include various aspects of carbon removal, nitrogen removal, phosphorus removal, solids removal, and shell production. Benefits are calculated for natural mortality and for fisheries harvest. The calculation of benefits is based on mass-balance principles and upon user-supplied values for parameters including resuspension, sediment diagenesis, and dentrification rate. The bioenergetics model is coupled with a representation of the physical environment based on the tidal prism approach and with eutrophication kinetics from the CE-QUAL-ICM model.

View document [PDF, 2.2 MB] Calculation of Oyster Benefits with a Bioenergetics Model of the Virginia Oyster - April Draft

Evaluation: Three-Dimensional Hydrodynamic Model Through Long-Term Simulation of Transport Processes

Publication date:

Kim, Sung-Chan, 2013. Evaluation of a Three-Dimensional Hydrodynamic Model Applied to Chesapeake Bay Through Long-Term Simulation of Transport Processes. Journal of the American Water Resources Association (JAWRA) 1-13. DOI: 10.1111/jawr.12113

View document [PDF, 3.1 MB] Evaluation: Three-Dimensional Hydrodynamic Model Through Long-Term Simulation of Transport Processes

Computing Atmospheric Nutrient Loads to the Chesapeake Bay Watershed and Tidal Waters

Publication date:

Linker, Lewis C., Robin Dennis, Gary W. Shenk, Richard A. Batiuk, Jeffrey Grimm, and Ping Wang, 2013. Computing Atmospheric Nutrient Loads to the Chesapeake Bay Watershed and Tidal Waters. Journal of the American Water Resources Association (JAWRA) 1-17. DOI: 10.1111/jawr.12112

View document [PDF, 1.6 MB] Computing Atmospheric Nutrient Loads to the Chesapeake Bay Watershed and Tidal Waters

Modeling the pH in the tidal fresh Potomac River under conditions of varying hydrology and loads

Publication date: Not listed

Carl F. Cerco, Tammy Threadgill, Mark R. Noel, Scott Hinz, Modeling the pH in the tidal fresh Potomac River under conditions of varying hydrology and loads, Ecological Modelling, Volume 257, 2013, Pages 101-112, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2013.02.011.

View document [PDF, 1.0 MB] Modeling the pH in the tidal fresh Potomac River under conditions of varying hydrology and loads

Integration of a fish bioenergetics model into a spatially explicit water quality model

Publication date: Not listed

P. Soupy Dalyander, Carl F. Cerco, Integration of a fish bioenergetics model into a spatially explicit water quality model: Application to menhaden in Chesapeake Bay, Ecological Modelling, Volume 221, Issue 16, 2010, Pages 1922-1933, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2010.05.002.

View document [PDF, 826.0 KB] Integration of a fish bioenergetics model into a spatially explicit water quality model

Documentation for Scenario Builder

Publication date:

Creation of the Nutrient and Scenario Builder tool was achieved with the excellent assistance of the Chesapeake Bay Program Information Technology contractor’s team led by Jessica Rigelman. With her leadership, Jonathan Lewis, Robert Weiss, Mark Lane, and Aaron Knister built a complex functional software product under a very tight deadline. Their questions along the way helped to strengthen the methodology. Without Jessica Rigelman’s encouragement of all of us, this project would not have been accomplished.

View document [PDF, 3.1 MB] Documentation for Scenario Builder

Show next 10 publications