Connec&ng phosphorus loads to cyanobacteria biomass using the Western Lake Erie Ecosystem Model

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Transcription:

Connec&ng phosphorus loads to cyanobacteria biomass using the Western Lake Erie Ecosystem Model John F. Bra?on Edward M. Verhamme, Todd M. Redder, Derek A. Schlea, Jeremy Grush, and Joseph DePinto

Western Lake Erie Ecosystem Model (WLEEM) Verhamme et al., 2016, JGLR - - developed and enhanced for GLWQA Annex 4 - - three- dimensional, fine- scale, process- based - - links hydrodynamic, sediment transport, and in- lake biogeochemical/ecological processes Used to: (1) relate spring P loading to summer cyanobacteria biomass (2) assess system sensisvity to mulsple variables (e.g., sediment fluxes, mussels, lag in recovery Sme)

Western Lake Erie Ecosystem Model (WLEEM) Detroit Model Outputs Nutrients: Internal/ External Sources, Sediment Diffusion, Transport, Mass Budget Model Inputs Atmospheric: Temperature, Solar Radiation, Wind Speed/ Direction Physical: Bathymetry, Water Levels Tributary: Flow, Nutrients and Suspended Solids loads Sediment: Nutrients, Type Wind/Wave Model Hydrodynamics/ Temperature Model Sediment Transport Model Advanced Eutrophication Model Solids: Transport, Resuspension Phytoplankton (Algae): Growth/Succession, Nutrient Limitation, HABs Biomass Other: Dissolved Oxygen, Dreissenid (Mussel) Impacts Cedar Portage

P Cycling Tributary Load Hydrolysis & Mineralization Tributary Load (optional) Tributary Load K r Available P Uptake K u Algal P Death K d Total Unavailable P (part. and diss.) Water Column Sediment Flux Deposition V a J p V u V r Deposition Resuspension Active Sediment Bed Deep Sediment Bed Available P Diagenesis Unavailable P Burial

Baseline Load- Response Data 2015

2016 Forecast and Actual 1 Nov 2016 HABs BulleSn (overweight of 2015 residual)

Model/Data Comparison 1. Time Series Plots 2. P- Flux Bar Charts 3. Model Grid Maps

StaSon map

2008, 2011-2014 Cyanobacteria Chlorophyll

2014 Samples vs. Model

2014 Satellite vs. Model WLEEM Baseline August 6, 2014

Sediment Diagenesis sub- model Includes temperature compensason

Bed sediment types I Sediment Bed Types Muddy Muddy Sand Sand Gravel Hardpan Navigation Channel Sediment Sample 0 2 4 8 Miles Sources: Esri, DeLorme, NAVTEQ, TomTom, Intermap, increment P Corp., GEBCO, USGS, FAO, NPS, NRCAN, GeoBase, IGN, Kadaster NL, Ordnance Survey, Esri Japan, METI, Esri China (Hong Kong), swisstopo, and the GIS User Community

2014 Sediment P Flux Detroit River! Maumee River! 15D! WQ3! 61! WQ2! WQ6! 1,19,20! 27! 25! 4P! 7M! 3P! C5! C40! 91M! NBIw! BIM! SBI-KI! From MaSsoff et al.: The average summersme aerobic P flux was 1.35 mg/m2/d, with a 95% confidence interval of 0.95 to 1.79 mg/m2/d WLEEM flux from June to Sept: 0.66 to 1.25 mg/m2/d 0 0.25 0.50 0.75 1.0! P (mg/g)!

Jan- Dec 2014 Diffusive Phosphorus Flux Temporal Variability WLEEM Month En&re Basin Diffusion (MT) En&re Basin Flux (mg/m 2 - day) Jan 5.18 0.06 Feb 4.98 0.06 Mar 5.77 0.06 Apr 8.05 0.09 May 19.82 0.21 Jun 59.30 0.66 Jul 108.70 1.18 Aug 115.10 1.25 Sep 93.59 1.05 Oct 41.44 0.45 Nov 15.22 0.17 Dec 6.48 0.07 484 MT 0.44 mg/m 2 - day

Jan- Dec 2014 Diffusive Phosphorus Flux Spa0al Variability June 5 July 26 Sep 1 Oct 10

Model Applica&on and Discussion 1. Phosphorus Mass Balance 2. DiagnosSc Scenarios

Jan- Dec 2014 WLEB Phosphorus Mass Balance Internal Maumee Detroit R. Resusp. External

July 2013 Depth- Averaged Currents Detroit River Plume ShunSng

Model DiagnosSc Scenarios Annex 4 recommendasons 40% TP reducson from all external sources 40% TP reducson from Maumee R. only Tributary sensisvity Maumee R. only Detroit R. only all external sources except Maumee R. Internal P fluxes Eliminate sediment P- flux Eliminate P Resuspension Dreissenid sensisvity (increase by 10x)

Model DiagnosSc Scenarios TP Load Reduc0on Scenarios 100% Detroit TP 100% All but Maumee 100% P- flux 40% All Tribs TP Baseline 40% Maumee TP 100% Maumee TP

Model DiagnosSc Scenarios TP Load Reduc0on Scenarios: Internal Loads 100% Resuspension Baseline 100% P- flux

Model DiagnosSc Scenarios Increasing mussel density resulted in more P- deposison, and therefore less P in the water column, which inhibited cyanobacteria growth Baseline 10x mussel density

Model DiagnosSc Scenarios TP Load Reduc0on Scenarios Baseline 100% Detroit TP 100% all but Maumee August 6, 2014 40% Maumee TP 40% All Tribs TP

Model DiagnosSc Scenarios TP Load Reduc0on Scenarios Baseline 100% Resuspension 100% P- flux August 6, 2014

Ranking of Bloom Drivers Maumee River TP most important (but Sming offset) Diffusive P- flux moderate importance (no offset) Detroit River TP low importance (background) Resuspension of TP, mussels, least important

Next Steps Establish operasonal version of model for management (add infrastructure and support) Expand model to central and eastern Lake Erie to simulate hypoxia and Cladophora Apply to other embayments and lakes (Ontario next; addisonal Green Bay and Saginaw Bay applicasons) Incorporate cyanobacterial toxin producson

Ques&ons? John F. Bra?on jbraion@limno.com