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Lower Cape Fear River Estuary Model Progress Report Jim Bowen, UNC Charlotte October 11, 2007 Charlotte, NC (via Centra)
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Description of Model Application Open Boundary Elevation Cond. Lower Cape Fear River Estuary Schematic Black River, FlowBoundary Cond. Cape Fear R. Flow Boundary Cond. NE Cape Fear Flow Boundary Cond.
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DO Conceptual Model BOD Sources Sediment Sediment O 2 Demand Cape Fear BOD Load NECF & Black R. BOD Load Muni & Ind. BOD Load decaying phytopl.
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DO Conceptual Model BOD Sources, DO Sources Sediment Sediment O 2 Demand Ocean Inflows Surface Reaeration Phytoplank. Productivity MCFR Inflows
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BOD Consumption DO Conceptual Model BOD Sources, DO Sources & Sinks Sediment Sediment O 2 Demand Ocean Inflows Surface Reaeration Input of NECF & Black R. Low DO Water
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BOD Consumption DO Conceptual Model BOD Sources, DO Sources & Sinks Sediment Sediment O 2 Demand Cape Fear BOD Load NECF & Black R. BOD Load Ocean Inflows Surface Reaeration Input of NECF & Black R. Low DO Water Phytoplank. Productivity Muni & Ind. BOD Load decaying phytopl. MCFR Inflows
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Modeling Developments 1.Finished Defining Model Grid Bottom roughness investigation Finished sizing marsh cells 2.Further Developed Salinity Boundary Condition at Estuary Mouth 3.Finished Hydrodynamic Model Calibration 4.WQ Predictions Using New Grid
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Hydrodynamic Calibration - Summary, 8/07 Excellent agreement w/ temperature and salinity Elevation agreement (not shown) still needs some work to get predicted tidal amplitude attenuation to match observed attenuation
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Model Grid Definition, Procedure Objective was to match tidal amplitudes at USGS Stations –Upper Estuary ( Lock and Dam 1, Black at Currie, NECF at Burgaw) –Middle Estuary (Navassa, NECF at Wilmington) –Lower Estuary (Marker 12)
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Sizing Marsh Cells, Procedure Systematically varied grid parameters to match observed elevation data –Rougher bottoms damp tidal amplitudes –More off-channel storage in wetland cells damps tidal amplitudes
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Step 1. Can changes in channel roughness produce desired amplitude attenuation? Used existing model grid
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Existing Model Grid w/ changes described in August update 1004 water cells Has “marsh cells” in Black and NECF Marsh cells 2.0 m deep All cells have the same roughness See kmz file for more detail
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Step 1. Can changes in channel roughness produce desired amplitude attenuation? Used existing model grid Varied roughness across grid –Typical value = 0.02 –Minimum = 0.015 m (very smooth) –Maximum = 0.045 m (very rough) Looked at changes in amplitude as bottom roughness increased
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Results, Variable Bottom Roughness
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Upper Estuary Stations Underdamped
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Results, Variable Bottom Roughness Middle Estuary Stations Underdamped
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Results, Variable Bottom Roughness Very little sensitivity to bottom roughness
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Sizing Off-Channel Storage, Procedure 1.Went through model grid and resized “marsh cells” to roughly fit wetland delineations 2.Developed a method to quickly vary width and roughness of marsh cells, create EFDC grid files, and see results w/ Google Earth 3.Ran model many times w/ various marsh configurations and observed results
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First step, try various marsh cell widths Varied marsh cell widths –Base case –Base case * 2 –Base case * 5 –Base case * 10 Determined how width changes affected tidal amplitudes
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Base Case
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Base Case, Width x 2
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Base Case, Width x 5
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Base Case, Width x 10
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Results, Marsh Width Variation
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Width ratio = 2.0 gives best results overall Need additional damping at Navassa Added additional marsh cells in middle estuary (V1, V2) Also tried smaller changes in marsh width (1.5, 2.0)
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Version 1, Width x 2
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Version 2, Width x 1.0/2.0
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Version 3, Width x 1.5
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Results, Tidal Amplitudes
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Unable to match exactly the observed pattern in amplitude reduction V2, Width ratio = 2.0 (in green) determined to give the best results overall
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Version 1, Width x 2
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Previous Model Grid
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New Grid Characteristics Off-channel storage locations based on wetland delineations 46 additional marsh cells added (1050 total cells) Additional off-channel storage added to each basin (Cape Fear, Black, NECF) Significant amount of marsh area added to middle and lower estuary
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Results for New Grid Also investigated alternate boundary condition specification –Now use AM and PM max salinity at station M12 rather than daily max Now use hourly rather than 12-hour averaged monitoring data Looked at observed vs. predicted temperatures, salinities, elevations Compared results to those obtained previously w/ previous model grid
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Elevations, Currie, June 04
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Elevations, Burgaw, June 04
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Elevations, Navassa, June 04
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Elevations, NECF Wilm., June 04
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Elevations, Mrkr 12, June 04
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April - November 2004 Temp., 8/07
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April - November 2004 Temp., New
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April - November 2004 Temp., 8/07 Statistical Measures of Fit (units of deg C) mean(pred-obs) =0.10046 ME_norm =0.0043473 RMSE =0.96224 MAE =0.71269 MAE_norm =0.030841 RMSE_norm =0.041639 r_squared =0.97272 num data comparisons = 4150 r 2 adjusted for bias = 0.96465
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April - November 2004 Temp., New Statistical Measures of Fit (units of deg C) mean(pred-obs) =0.034678 ME_norm =0.0015146 RMSE =0.95803 MAE =0.71946 MAE_norm =0.031423 RMSE_norm =0.041843 r_squared =0.97439 num data comparisons = 4579 1-mse/var(obs) = 0.96604
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April - November 2004 Salinity, 8/07
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April - November 2004 Salinity, New
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April - November 2004 Salinity, 8/07
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April - November 2004 Salinity, New
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April - November 2004 Salinity, 8/07
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April - November 2004 Salinity, New
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April - November 2004 Salinity, 8/07
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April - November 2004 Salinity, New
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April - November 2004 Salinity, 8/07 Statistical Measures of Fit (units of PSU) mean(pred-obs) =-0.25797 ME_norm =-0.043321 RMSE =2.6493 MAE =1.6424 MAE_norm =0.27581 RMSE_norm =0.4449 r_squared =0.87049 num data comparisons = 3517 1-mse/var(obs) = 0.84804
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April - November 2004 Salinity, 8/07 Statistical Measures of Fit (units of PSU) mean(pred-obs) =-0.0044639 ME_norm =-0.00083995 RMSE =2.64 MAE =1.5505 MAE_norm =0.29176 RMSE_norm =0.49675 r_squared =0.87044 num data comparisons = 3953 1-mse/var(obs) = 0.85345
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Summary of Progress Model grid now includes a significant amount of off-channel storage Salinity mean errors now very low (important for predicting dilution) Tidal elevation attenuation now well simulated Hydrodynamic & conservative transport submodels now calibrated
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Summary of Progress, cont’d Also have developed a program for animating horizontal contour in Google Earth (good for showing DO results) Benoit Duclaud finished Masters thesis on new method for predicting reaeration (thesis, paper available next month)
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Information Available Online See LCFR website for more info www.coe.uncc.edu/~jdbowen/LCFR This presentation is available Google Earth files available for download –Grid and wetland data from presentation –Monitoring stations, point sources –Final EFDC grid information –NOAA bathymetry
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Present Work Running water quality model now w/ new grid Still waiting to get BOD data from LCFR Program Finish assigning decay rates and redefining loads once additional BOD data are available Work on incorporating SOD data in a more detailed way Do additional model/data comparisons w/ DWQ special study data
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