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PROJECT OBJECTIVE. To identify and evaluate a suite of management scenarios to address the Old Tampa Bay issues using integrated modeling tools. UNDERSTANDING & APPROACH. Integrated set of models response of key ecological attributes and stressors to various scenarios
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PROJECT OBJECTIVE • To identify and evaluate a suite of management scenarios to address the Old Tampa Bay issues using integrated modeling tools
UNDERSTANDING & APPROACH • Integrated set of models • response of key ecological attributes and stressors to various scenarios • spatial and temporal resolution • defensible, quantitative prediction • assessment of the net ecological changes expected due to the scenarios examined
UNDERSTANDING & APPROACH TASK 1 Review & Select Preliminary Scenarios TASK 2 Data Review & Adequacy Assessment “Go-No Go” Decision Point TASK 3 Integrated Model Plan TASK 4 Model Formulation & Testing TASK 5 Model Applications
TASK 1 • Old Tampa Bay Management Action Scenario Report • Scenarios • Key ecological attributes • OTB Working Group • Consensus building
TASK 2 • Existing Information Summary Report • Data • Ambient WQ • Flows • Loadings • Seagrass • Studies • PCEF • Safety Harbor Sediment Accumulation
TASK 2 • Data Assessment Report • Data adequacy to predict ecological responses • Relative ranking of scenarios: • ecological benefits • constraints • project costs
Data Needs for ModelParameterization, Calibration/Validation • Much of the specific data/information needed in our data warehouse • Issues with national databases • Data comparability • Resolution of data gaps • More detailed information in the handout
How will proposed approach address wind-driven and sediment dynamics? • Shallow water wind-wave model integrated within hydrodynamic model • Spatially/temporally varying wind field input • Allowing computation of spatially and temporally varying bottom shear stress • Linkage to water quality model and to optical model
How will proposed approach address both varying temporal and spatial scales? Implications of potential modifications on our proposed budget • Proposing a 10-year simulation • Hydrodynamic and water quality models timesteps of 2-5 minutes – diel DO • Proposed various spatial grids to address specific questions • These considerations are built into our proposed budget
Hydrologic diversions, operational modifications, and causeway/bridge modifications • Watershed modeling addresses operation of structures • Sufficient data to address diversions directly • Spatial resolution of model grids to resolve areas of impact • Hydrodynamic and watershed models will pass changes to WQ model
Redirecting existing WWTP surface water discharges to reuse or other beneficial uses • Grizzle-Figg Act - substantial load reductions • 11% of OTB TN load from WWTPs remains • Potential beneficial uses: Northwest Regional Water Reclamation Facility Reuse System (Orange County, FL)
Implementation of non-structural and structural BMPs • Adjustment of EMCs for specific land use types and jurisdictions • Development of a BMP layer • Feasibility analysis for regional BMPs • Inclusion of LID practices for a broader based plan
TASK 3 • Integrated Model Plan • prioritized scenarios • modeling objectives • model selection • model calibration, validation, skill assessment, & uncertainty analysis • model output and analytical approaches
TASK 3 • Modeling Strategy • A 10-year hydrodynamic/water quality model run to capture wet, dry, and average years • Able to examine variability in impacts of stressors on optical and habitat models • Water quality model hindcast
Proposed Model Linkages(Question 4) Rainfall, Landuse, BMPs, etc. Watershed INTB WWWTP,Watmo, Isolar, etc. Winds, Isolar, Humidity, etc. Hydrograph Pollutograph Sal, T, H, Ux,y,z,Ex,y,z Vsettling, Vdepo, Vresusp Hydro/SedTran ECOMSED Water Quality/SFM RCA Chlorophyll, turbidity, DO, CDOM, Sediment %POC, H2S, etc. Sal, T, H, Vshear LIGHT & HABITAT MODELS
TASK 3 • Quality Assurance Plan • project organization (stakeholders, etc.,) • project tasks and schedule • project objectives • modeling and data quality objectives • model calibration, validation, and skill assessment methods • model user’s manual • QC protocols
Integrated Northern Tampa Bay Model
ECOMSED Model Grid