Department of the Environment Modeling to Support the Development of Nutrient TMDLs in Baltimore Harbor Miao-Li Chang Maryland Department of the Environment.

Slides:



Advertisements
Similar presentations
Chesapeake Bay Environmental Model Package A coupled system of watershed, hydrodynamic and eutrophication models The same package used for the 2002 load.
Advertisements

RTI International RTI International is a trade name of Research Triangle Institute. Economic Study of Nutrient Credit Trading for the Chesapeake.
Howard County, MD Phase II Watershed Implementation Plan October 6, 2011 Howard Saltzman Howard County Department of Public Works.
Public Meeting: March 3, 2014 Truckee River Water Quality Standards Review.
The Effect of the Changing Dynamics of the Conowingo Dam on the Chesapeake Bay Mukhtar Ibrahim and Karl Berger, COG staff Water Resources Technical Committee.
Eutrophication of the Black Sea
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
Maryland Assateague Coastkeeper Baltimore Harbor Waterkeeper Chester Riverkeeper Choptank Riverkeeper Patuxent Riverkeeper Sassafras Riverkeeper Severn.
Defining Restored Bay and Tidal Tributary Water Quality  Round Two  Draft Revised Oxygen, Water Clarity and Chlorophyll Criteria.
Complexities of the Carters Lake TMDL Presented by: Jeremy Wyss, H.I.T. Tetra Tech Presented by: Jeremy Wyss, H.I.T. Tetra Tech 26th Annual Alabama Water.
OMSAP Public Meeting September 1999 The Utility of the Bays Eutrophication Model in the Harbor Outfall Monitoring Program James Fitzpatrick HydroQual,
Nutrient Cycles Eutrophication Nitrogen –Chemical Forms in the Aquatic Environment –Chemical Transformations –Cycle f-ratio Carbon.
Imperial River: Water Quality Status and Basin Management Action Plan.
Developing a Nutrient Management Plan for the Napa River Watershed Group Members Vinod Kella  Rebecca Kwaan  Luke Montague Linsey Shariq  Peng Wang.
LCFR Water Quality Modeling Project Report Jim Bowen, UNC Charlotte LCFRP Advisory Board/Tech. Comm. Meeting, October 30, 2008 Raleigh, NC.
WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”
TMDL Development for the Floyds Fork Watershed Watershed Hydrology and Water Quality Calibration and Water Quality Model Calibration Technical Advisory.
NYCDEP Evaluation of Watershed Management Programs FAD requirement: Last one ; Next FAD Assessment : Use models to evaluate effects.
Jędrasik J., Kowalewski M., Ołdakowski B., University of Gdansk, Institute of Oceanography Impact of the Vistula River waters on the Gulf of Gdańsk during.
Water Quality Analysis Simulation Program (WASP)
Pomme de Terre Lake Water Quality Summary Pomme de Terre Lake Water Quality Summary US Army Corps of Engineers Environmental Resources Section.
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
Tom Singleton Associate VP, Director, Integrated Water Resources an Atkins company Linking TMDLs & Environmental Restoration.
A T HREE- D IMENSIONAL W ATER Q UALITY M ODEL OF S OUTHERN P UGET S OUND Greg Pelletier, P.E., Mindy Roberts, P.E., Skip Albertson, P.E., and Jan Newton,
Isaac (Ike) Irby 1, Marjorie Friedrichs 1, Yang Feng 1, Raleigh Hood 2, Jeremy Testa 2, Carl Friedrichs 1 1 Virginia Institute of Marine Science, The College.
Courtney K. Harris Virginia Institute of Marine Sciences In collaboration with Katja Fennel and Robin Wilson (Dalhousie), Rob Hetland (TAMU), Kevin Xu.
BACKRIVER TMDL PROJECT Technical Outreach Prepared by MDE/TARSA Prepared for the Baltimore Harbor Stakeholder Advisory Group September 10, 2002.
Modeling Support for James River Chlorophyll Study Dave Jasinski, CEC Jim Fitzpatrick, HDR|HrydroQual Andrew Parker, Tetra Tech Harry Wang, VIMS Presentation.
Development of a Linked Hydrodynamic – Sediment Transport – Water Quality Model for the Lower Maumee River and Western Lake Erie Basin Joseph DePinto,
Update on Chesapeake Bay Model Upgrade Projects Blue Plains Regional Committee Briefing November 30, 2004 Presented by: Steve Bieber Metropolitan Washington.
Watershed Monitoring and Modeling in Switzer, Chollas, and Paleta Creek Watersheds Kenneth Schiff Southern California Coastal Water Research Project
Presentation to the Chesapeake Bay and Water Resources Policy Committee July 30, 2010.
Update on Chesapeake Bay Model Upgrade Projects Briefing to Potomac River Integrated Monitoring Stakeholders March 20, 2006 Presented by: Steve Bieber.
Patapsco/Back River SWMM Model Part II – SWMM Water Quality Calibration Maryland Department of the Environment.
Barr-Milton Watershed Modeling Project - Workshop #4 David Pillard, Ph.D. – Project Manager, Ft. Collins, CO Ken Heim, Ph.D. – Lead Modeler, Westford,
Status Report on Chesapeake Bay Clean Up Plan Wastewater Sector June 2, 2010.
1 State of San Lorenzo River Symposium Nicole Beck, PhD 2NDNATURE April San Lorenzo Lagoon A Decade of Dry Season WQ Monitoring.
Chesapeake Bay Program Decision Support System Management Actions Watershed Model Bay Model Criteria Assessment Procedures Effects Allocations Airshed.
Patapsco and Back River HSPF Watershed Model Part II – Water Quality Maryland Department of the Environment.
NarrCHRP: Ecological Modeling Mark J. Brush Virginia Institute of Marine Science Annual Managers’ Meeting CHRP Narragansett Bay Project October 2008.
Watershed Monitoring and Modeling in Switzer, Chollas, and Paleta Creek Watersheds Kenneth Schiff Southern California Coastal Water Research Project
Clifton Bell, P.E., P.G. Chesapeake Bay Modeling Perspectives for the Regulated Community.
Point Source Loads and Decision Criteria for Toxics Modeling Baltimore Harbor TMDL Stakeholder Advisory Group September 10, 2002.
WLRD Science Seminar Sammamish River Water Quality Model Status Report November 19, 2002.
Development of the Neuse Estuary Eutrophication Model: Background and Calibration By James D. Bowen UNC Charlotte.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
West Metro Water Alliance A Path to Clean Water – Understanding TMDLs and Watershed Planning September 21, 2011 Diane Spector Wenck Associates, Inc.
Robert M. Hirsch, Research Hydrologist, USGS September 6, 2012 Nitrogen, Phosphorus, and Suspended Sediment fluxes from the Susquehanna River to the Bay.
1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct
David J. Schwab NOAA Great Lakes Environmental Research Laboratory
Modeling Stream Flow of Clear Creek Watershed-Emory River Basin Modeling Stream Flow of Clear Creek Watershed-Emory River Basin Presented by Divya Sharon.
Focus Group Meeting: November 12, 2013 Truckee River Water Quality Standards Review.
By Jim Bowen, UNC Charlotte presented at Multi-Media Modeling Workshop
Abstract Man-made dams influence more than just the flow of water in a river. The build up of sediments and organic matter, increased residence times,
Integrated Approach for Assessing and Communicating Progress toward the Chesapeake Bay Water-Quality Standards Scott Phillips USGS, STAR May 14, 2012 PSC.
Dissolved oxygen (DO) in the streams
The Chesapeake Bay: How is it Doing? An Overview of The Chesapeake Bay Watershed.
Development of a HAB Model for the James River Estuary
Light and Primary Production in Shallow, Turbid Tributaries
Dave Clark and Michael Kasch
AQUATOX v. 3.1 Host Institution/URL
Looking for universality...
Elizabeth River PCB TMDL Study: Numerical Modeling Approach
Michael, B. D. , Trice, T. M. , Heyer, C. J. , Stankelis, R. M
Public Meeting February 19, 2009
James River PCB TMDL Study: Numerical Modeling Approach
Estimation of Loadings for Nonpoint Sources and Stormwater
Status Nearly 30 scenarios completed for NAB and CBP over a year’s effort. Report on application of CBEMP in preparation. October time frame for draft.
Overview of Climate Impact Assessment Framework and Implementation
Upper Clark Fork Watershed Restoration and TMDLs
Presentation transcript:

Department of the Environment Modeling to Support the Development of Nutrient TMDLs in Baltimore Harbor Miao-Li Chang Maryland Department of the Environment

Acknowledgment Special thanks to the following individuals for data compilation, model setup/simulations, and document reviews: Nauth Panday, Dinorah Damalsy, Hui Liu and Dr. Harry Wang (Virginia Institute of Marine Science).

Watershed Characteristics The watershed is home to 1.5 million people Landuse is predominantly industrial, commercial and residential (55 %)

General Information There are more than 100 industrial facilities with wastewater or cooling water discharges to Baltimore Harbor The Baltimore Harbor is a very complex system with a unique 3-layer hydrodynamic flow pattern. The upper and lower layers flow inward to the head of the Harbor, and the middle layer flows outward. Spatially variable elevated levels of nutrients, metals and organics in water, sediments and bottom-feeding species of fish. This complexity necessitates a comprehensive monitoring and modeling program.

Harbor Eutrophication Modeling Framework  Watershed Model - HSPF  MDE Model used Patapsco/Back  CBP Model used for Upper Bay  Hydrodynamic Model - CH3D  Water Quality Model - CE-QUAL-ICM  Sediment Fluxes - Chesapeake Bay Sediment Flux Model  Consistent with CBP modeling framework for Tributary Strategy  Finer resolution and more local data for calibration

Harbor Eutrophication Modeling Framework Watershed Model HSPF Hydrology (flow, TSS) Hydrodynamic Model CH3D Velocity, Diffusion, Surface Elevation, Salinity, Temperature Water Quality Model CE-QUAL-ICM Temperature, Salinity, Total Suspended Solid, Cyanobacteria/Diatoms/Algae, Carbon, Nitrogen, Phosphorus, COD, DO, Silica Watershed Model HSPF nutrients, sediments Sediment Diagenesis Model Sediment initial condition, Sediment settling rate Point Source and other loads Water Quality Prediction

Point Source Locations PB1 = Back RiverPB2 = Eastern Stainless PP1 = CongoleumPP2 = Freedom District PP3 = ChemetalsPP4 = W.R. Grace PP5 = PatapscoPP6 = Cox Creek PP7-PP13 = Bethelehem Steel

Watershed Model  HSPF – Hydrologic Simulation Program: Fortran  Time variable  Simulate complex systems/processes  Data Requirement  Meteorological Data  Landuse  Agriculture Information  Soil types  Monitoring Data

Nonpoint Source Load – Watershed Model - Nonpoint Source Load – Watershed Model - HSPF Segmentation

Hydrodynamic Model CH3D - Curvilinear Hydrodynamic 3- dimension Velocity, Diffusion, Surface elevation, Salinity, Temperature on an intratidal time scale. Model physical processes impacting bay-wide circulation and vertical mixing Baltimore Harbor Back River Gunpowder River Bush River Susquehanna River Magothy River Severn River South River Chester River Sassafras River Bohemia River Choptank River

Hydrodynamic Model - Hydrodynamic Model - CH3D Basic Concepts  Inputs  Boundary conditions  Surface  Bottom  Tributary boundary  Ocean boundary  Solid boundary  Initial conditions  Water surface elevation = 0  Velocity = 0  Salinity and temperature  Bathymetry (depth, grid)  Computational control data  Numerical solution algorithm  Finite difference  U, V will be adjusted to ensure the conservation of mass  Time steps – 120 s (for both external and internal modes)  Outputs  Water surface elevations  Velocity  Salinity  Temperature  Diffusivity

Water Quality Model §CE-QUAL-ICM §Integrated compartment box model §Boxes correspond to cells in x-y-z space on the CH3D grid (3029 cells - 2 km  0.5 km  1.7 m in the surface plane, 8970 cells – 2 to 15 cells in the vertical) §Finite difference method using QUICKEST algorithm (Leonard, 1979) in the horizontal directions and a Crank-Nicolson scheme in the vertical direction § Kinetics are computed using a temporal dimension of days  22 state variables, 140 parameters  Temperature  Salinity  Total suspended solid  3 algae groups : Dinoflagelete, Diatoms, Other (green) algae  Carbon cycle : DOC, LPOC, RPOC  Nitrogen cycle : Ammonium, Nitrate-nitrite, LPON, RPON  Phosphorus cycle : Total phosphate, DOP, LPOP, RPOP  Silica cycle : Available Silica, Particulate Biogenic Silica  COD  DO

Sediment Flux Model ACTIVE SEDIMENT LAYER Aerobic layer Anaerobic layer POMDissolved POM Dissolved Particle mixingDissolved mixing Burial Depositional flux Fluxes of O2, H2S, NH4, NO3, PO4, Si WATER COLUMN Sedimentation Diffusion Sedimentation Partioning Reactions Partioning Reactions Diagenesis

Sediment Flux Model  Numerical methods:  Layer 1 - steady state  Layer 2 - Finite difference equations – implicit integration scheme  Boundary conditions – Time series data of overlying water concentrations and temperature at each stations for various years  Initial conditions – run stand alone model until steady state and use the steady state values as the initial conditions  Physical Processes  Surface mass transfer (diffusion)  Sedimentation (depositional flux, burial)  Particle mixing (turbulence mixing, bioturbation)  Dissolved mixing (passive molecular diffusion, bio-irrigation)  Active layer depth H 2 – 10 cm (5 – 15 cm)  Partitioning 1 st order, linear  Chemical reactions  Nitrification: 1 st order, Michaelis Menton equation  Denitrification: 1 st order  Sulfide oxidation: 1 st order  Precipitation of Fe3(PO4)2  Dissolution of Silica: 1 st order, reversible  Diagenesis – Organic matter decomposition in the sediment

WQ Calibration Baltimore Harbor  Algal bloom  Hypoxia/anoxia  Very eutrophication

Water Quality Data  Water column  MDE  Baltimore City Department of Public Work 97  Benthic flux  University of Maryland 94, 95, 97  Upper Bay  Chesapeake Bay Program 82~

WQ Calibration

Technical Review Update  Reviewed by State Agencies, Baltimore County and Baltimore City  Reviewed by Chesapeake Bay Program Modeling Subcommittee  Reviewed by SAG Modeling Technical Group

Percentages of Average Annual Loads in the Baltimore Harbor

Harbor Designated Uses

Target TMDL water quality goals  Ensure that minimum DO concentrations specified for each designated use of the Baltimore Harbor are maintained;  Resolve violations of narrative Chla criteria.  MDE has determined, per Thomann and Mueller, that it is acceptable to maintain Chla concentrations below a maximum of 100 µg/L, and to target, with some flexibility depending on waterbody characteristics, a 30-day rolling average of approximately 50 µg/L.

Baltimore Harbor Designated Uses and DO criterion 1.0 DC DW OW 5.0 MF Instantaneous minimum 1-day mean 7-day mean 30-day mean Designated Use Open Water (OW) Deep Channel (DC) Migratory Fish (MF) Lower Pycnocline - Bottom Open Water (OW) Deep Water (DW) Migratory Fish (MF) Upper – Lower pycnocline Open Water (OW) Open Water (OW) Migratory Fish (MF) 0 – Upper Pycnocline Oct 1 –Jan 30June 1 –Sept 30Feb 1 –May 31

DO Attainment Check Solid Line = CBP Reference Curve Dotted Line = MDE Attainment Curve Percent Nonattainment = 2% Area blew the CBO Reference Curve representing an approximately 10 percent allowable exceedance equally distributed between time and space (CBP, 2003

Sensitivity Scenarios 1.No Point Sources – 100% removal of point source loads in Harbor area: To test the impact of point sources. 2.No Nonpoint Sources % removal of nonpoint source loads in Harbor area: To test the impact of nonpoint sources. 3.No Anthropogenic Loads - 100% removal of point and nonpoint source loads: To test the impact of human activities (point + nonpoint source loads) 4.Clean Sediment -- Start model with clean sediment initially: To test the impact of internal source (pollutant loads from bottom sediments) 5.Bay Influences % removal of point and nonpoint source loads and start model with clean sediment initially: To test the impact of loads from Chesapeake Bay to Baltimore Harbor.

Sensitivity Model Scenarios

BALTIMORE HARBOR OTHER SCENARIOS LOADINGS and DO Attainment Check

DO percent non-attainment for minimum and maximum NPS reductions scenarios “Point Source loads for these scenarios are based on ENR Strategy” Designated Uses => Migratory FishOpen WaterDeep waterDeep Channel Reduction from Nonpoint Sources Feb - May % Jan – Dec %June –Sept %June - Sept % 0% %00575

Baltimore Harbor Possible TMDL Scenario Run Point Source :  Flow: Maximum permit flow  ENR to Municipal - TN: 4 mg/L annual average (3 mg/L in May - October, 5 mg/L in November - April), TP: 0.3 mg/L  Industrial PS – Best Possible Control loads Nonpoint Source:  15 % reduction in controllable loads (urban storm water and agriculture loads)

Progress to Date  Model developments – Completed  Technical Review – Completed  Draft TMDL numbers – Completed  Plan: TMDL submittal in 2006