Modeling Support for James River Chlorophyll Study Dave Jasinski, CEC Jim Fitzpatrick, HDR|HrydroQual Andrew Parker, Tetra Tech Harry Wang, VIMS Presentation.

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Presentation transcript:

Modeling Support for James River Chlorophyll Study Dave Jasinski, CEC Jim Fitzpatrick, HDR|HrydroQual Andrew Parker, Tetra Tech Harry Wang, VIMS Presentation to the James River SAP, 11/2/2012

An update on Modeling Team activities Andrew Parker – Watershed Model Jim Fitzpatrick – RCA hydrodynamic model and phytoplankton/HAB models Harry Wang – EFDC Hydrodynamic model

Watershed Model Goals Provide boundary conditions for river models Simulate historical and hypothetical conditions Include elements of EPA Bay Watershed Model, but – Increase resolution – Use more locally focused datasets – Improve the WQ calibration (TN, TP, TSS, DO, NO 3, NH 3, PO 4 ) – Anticipate using EPA’s LSPC (Loading Simulation Program in C++)

Watershed Model Focus Areas Model ComponentBay Model DataJames River Considerations Meteorological Data National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC) DataMunicipal and other local rainfall records Land Use Multi-Resolution Land Characteristics Consortium (MRLC) 2001 National Land Cover Dataset (NLCD) modified with NOAA Coastal Change Analysis (CCAP) to give a land use time series ( ) County and municipal parcel records and local agriculture data Segmentation Overlay of 1:100,000-scale county boundaries and drainages for United States Geological Survey (USGS) SPARROW streams with average discharge >100 cfs Drainages for local-scale USGS National Hydrography Dataset (NHD) streams with consideration of local land use and source characteristics Non Point Pollutant Sources Multi layered data aggregation system—"Scenario Builder" Simplified source assessment for load estimation and improved representation of implementation strategies Water Quality Calibration Monitoring Data USGS National Water Information System (NWIS) dataDEQ, municipal, university monitoring data

Progress on Deterministic and Empirical Water Quality Models Jian Shen and Bo Hong Virginia Institute of Marine Science Jim Fitzpatrick HDR|HydroQual 1.Linkage between EFDC and RCA 2.Incorporate benthic filter feeder model in RCA 3.Expand number of functional phytoplankton groups in RCA from three to six (freshwater and saltwater – diatoms, summer mixed assemblage, HABs (blue-greens, Cochlodinium) 4.Data analysis

EFDC – RCA Linkage

Data Analysis

James River Station map

July Upstream Downstream February Data points Standard deviations Number of years averaged Spring peak Summer peak Other parameters are scaled based on the maximum value of CHLA

TF5.5 (Station of summer peak) LE5.2 (Station of spring peak) Other parameters are scaled based on the maximum value of CHLA

James River

TF 5.4

ParametersR2R2 DIN0.58 WTEMP0.88 SALINITY<0.05 SECCHI<0.05 TSS<0.05 TP0.62 DON0.24 TN0.12 FLOW0.82 Selective regression plots are presented in next slide Summary of regression analysis between CHLA and other parameters Not averaged (on sampling dates) Monthly (yearly average, 1991~2010)

Selective regression plots between CHLA and other parameters (only those with high R 2 ): Un-averaged WTEMP (on sampling dates ), R 2 =0.52 Monthly WTEMP (yearly average), R 2 =0.88 Monthly FLOW (yearly average), R 2 =0.83 Monthly TP (yearly average), R 2 =0.62 Monthly DON (yearly average), R 2 =0.24

ParametersR2R2 DIN<0.05 WTEMP<0.05 SALINITY<0.05 SECCHI<0.05 TSS<0.05 TP0.05 TN<0.05 FLOW<0.05 FLOW5<0.05 FLOW10<0.05 FLOW20<0.05 FLOW30<0.05 FLOW40<0.05 ParametersR2R2 DIN0.1 WTEMP0.25 SALINITY0.30 SECCHI0.26 TSS0.39 TP0.16 TN0.37 FLOW0.33 Summary of regression analysis between CHLA and other parameters Not averaged (on sampling dates) Monthly (yearly average, 1991~2010)

Monthly WTEMP (ensemble average), R 2 =0.25 Selective regression plots between CHLA and other parameters : Monthly SALINITY (ensemble average), R 2 =0.30 Monthly TSS (ensemble average), R 2 =0.39 Monthly FLOW (ensemble average), R 2 =0.33 Monthly TN (ensemble average), R 2 =0.37

James River portion of CH3D grid Horizontal grid: 686 Vertical z grid layer: delta z is equal to 1.57 m Total # grid cells estimated: 5,500

James River grid Horizontal grid: 3398 Vertical sigma grid layers: 8 layers Total # grid cells: 27,184

*The open boundary condition to be developed in the overlapping zone * See details in the next slides CH3D uses 6 grid across

The open boundary condition is to be developed in the overlapping zone such that the James River hydrodynamic and water quality modeling can be coupled with the bay-wide CH3D/ CE-QUAL-ICM models. EFDC uses 6-7 grid across

Future plans Complete testing of the coupling of EFDC with RCA for the James River model grid Couple EFDC, HEM3D and RCA with Tetra- Tech’s modified watershed model for the James River watershed Develop empirical and deterministic HAB models for the freshwater and marine portions of the James River