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Application of a Linked Hydrodynamic- HAB Model for Assessment of Management Scenarios to a Post-Sandy Long Island Embayment Click to edit Master.

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Presentation on theme: "Application of a Linked Hydrodynamic- HAB Model for Assessment of Management Scenarios to a Post-Sandy Long Island Embayment Click to edit Master."— Presentation transcript:

1 Application of a Linked Hydrodynamic- HAB Model for Assessment of Management Scenarios to a Post-Sandy Long Island Embayment Click to edit Master text styles Second level Presented by Raghav Narayanan April 14, 2016

2 Acknowledgements Christopher J. Gobler, Ph.D. Elizabeth M. Lamoureux
John P. Connolly, Ph.D., P.E., BCEE Fanghui Chen, Ph.D. Shuhei Miyasaka Miriam Mathew

3 Harmful Algal Blooms are a Growing Problem
Harmful Algal Blooms (HABs) increasing throughout the United States Contaminate surface and drinking water – human health and ecological risks Linked to fish kills and shell and finfish depletion Calls to treat HABs as contaminants, and to establish water quality standards

4 HABs Have Many Negative Impacts
Ecological degradation Reduced biodiversity Greater environmental instability Toxic to humans and animals Shellfish poisoning Ciguatera fish poisoning (CFP) Socioeconomic costs Public health costs Fisheries losses Recreation and tourism losses Property losses

5 HABs Observed Across Long Island
PSP Toxic cyanobacteria DSP Brown Tide Seaweeds Rust Tide PSP, DSP Toxic cyanobacteria Ulva Rust Tide Brown Tide

6 Increasing Nitrogen Loading Increases HABs in Long Island
1950s – Green tide blooms impacted oyster fishery 1980s – Brown tides destroyed eelgrass beds and shellfisheries 2002 onwards – Red tide blooms caused shellfishery closures Significant reduction in seagrass: critical habitat for fish and shellfish $8 billion lost since 1975 Seagrass expected to go extinct in New York in 2030 Current studies conclude more nitrogen loading makes HABs on Long Island grow faster Multiple species, including Aureococcus, Cochlodinium, and Alexandrium

7 Expanding Population, Increasing Nitrogen Levels
Suffolk County Population Suffolk County Groundwater

8 Wastewater is the Major Nitrogen Load to Long Island Bays

9 Models Needed to Relate HAB to Nitrogen
Assess how much reduction in loading is needed to produce acceptable water quality Support nitrogen reduction planning for the Town of Southampton A need for models has been recognized at the Federal level: “Improve predictive capabilities by developing and enhancing HAB and hypoxia modeling programs.” Recommendation by Harmful Algal Blooms and Hypoxia Comprehensive Research Plan and Action Strategy: An Interagency Report produced for Congress per the Harmful Algal Bloom and Hypoxia Research and Control Act (2014).

10 Multiple Sub-models Constitute HAB Model
Hydrodynamic Sub-model Temperature, Flow, Volume, Velocity, Dispersion 2D Water Column Sub-model Chemical Biological Carbon Nitrogen Phosphorus Oxygen Phytoplankton Zooplankton

11 Model Being Developed for Long Island South Shore Bays
40,000 m (25 miles) in E-W direction and 5,000 m (3 miles) in N-S direction. 1 vertical layer. Total 901 cells, average dimensions: E-W = 370 m, N-S = 200 m

12 Model is Calibrated to Water Surface Elevation
Model Predicted NOAA Data (Observed and Verified)

13 Model is Calibrated to Temperature
Model Predicted Water Temperature (Suffolk County Data)

14 Water Quality Modeled Mechanistically
AQ-EUTRO Simulates nutrient, phytoplankton, and zooplankton (NPZ) dynamics Simulates seasonally dependent multi-species algal growth, zooplankton grazing Additional components of food chain can be added if necessary Developed by Anchor QEA Expansion of USEPA-supported QUAL2K model

15 CO2 FDOC SDOC POC ISS DO NH3 DON PON NO3 NO2 A SRP DOP POP POP2
State Variables DO Dissolved Oxygen DOC Diss. Org. Carbon FDOC Fast DOC SDOC Slow DOC DOP Diss. Org. Phos. SRP Sol. Reactive Phos. A Phytoplankton ISS Inorg. Sus. Solids ZP Zooplankton DON Diss. Org. Nitrogen NH3 Ammonia NO2 Nitrite NO3 Nitrate POC Part. Org. C PON Part. Org. N POP Part. Org. P POP2 Recalcitrant Part. Org. P Processes Hyd Hydrolysis Diss Dissolution G Phytoplankton Growth R Phyto. Respiration D Phyto. Death S Settling Re Reaeration Dec Decomposition Nit Nitrification Denit Denitrification Se Sediment Exchange Dec Hyd Diss Re CO2 FDOC SDOC POC ISS Se S ZP ZP S DO N2 Se Se Denit S NH3 DON PON Diss Hyd NO3 NO2 Nit Nit Se Denit Se D ZP Diss G Hyd Diss A SRP DOP POP POP2 R S Se S S ZP ZP ZP

16 Water Quality Model Predicts Trends in Parameters

17 Addressing Data Constraints
Comprehensive sediment flux data not available Sediment interactions not simulated Nutrient-specific data not available (e.g., no recent carbon data available, no TKN available) Assumptions made based on professional judgement Limited species-specific data Difficult to allocate chlorophyll-a data to algal species Make assumptions on seasonal algal groups where possible Important to consider model development while designing sampling programs

18 Model Applications - Estimate Flushing Time of Specific Discharge Locations

19 Flushing Time Varies Within the Bay Depending on Release Location
1000 dye units/second released for 10 minutes Horizontal line at the 25% mass remaining Tracer was released on midnight of January 2

20 Next Steps Evaluate impact of nitrogen load reduction scenarios with input from the Town of Southampton Assist in prioritizing critical areas for nutrient management

21 Thank You

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