Basic MeHg Mass Budget Don Yee CFWG July 2008 Meeting.

Slides:



Advertisements
Similar presentations
EMAP Efforts in SF Bay Overview of EMAP Western Pilot Overview of Coastal component Activities in SF Bay (FY 2000) Relationship to other SF Bay efforts.
Advertisements

Mercury Strategy Outline RMP CFWG September 14, 2007.
4.26 CEP/RMP Sediment Core Plan Draft & Comments CFWG Sept 2005.
Mercury and Methylmercury Processes in North SF Bay Tidal Wetland Ecosystems San Francisco Estuary Institute USGS BRD WERC Vallejo, CA USGS WRD Menlo Park,
Contaminant Fate WG 5 Year Plan RMP CFWG Meeting January 15, 2008.
Estimation of Mercury Bioavailability in Wastewater Treatment Plant Effluents J. David Dean San Francisco Estuary Institute Mercury Coordination Conference.
Developing Water Quality Solutions for SF Bay
Mercury in SF Bay The 8-Minute Conceptual Model California Regional Water Quality Control Board San Francisco Bay Region RMP Annual Meeting May 4, 2004.
Item #4 Slide 1 A Mass Budget of Polybrominated Diphenyl Ethers in San Francisco Bay, CA John J. Oram, Lester J. McKee, Christine E. Werme, Mike S. Connor,
PCBs Total Maximum Daily Loads San Francisco Bay Fred Hetzel SFB-RWQCB May 13, 2003.
The South Bay Salt Pond Restoration Project and Bay Water Quality SFEI Letitia Grenier, Jay Davis, Robin Grossinger.
Methylmercury in Bay and Wetland Sediments of the San Francisco Bay Region Don Yee, SFEI RMP 2008 Hg Coordination Meeting San Francisco Estuary Institute.
Chesapeake Bay Environmental Model Package A coupled system of watershed, hydrodynamic and eutrophication models The same package used for the 2002 load.
Principles of Mass Balance
Dredging, Wetlands Creation, & Ecosystem Protection: Finding the Right Balance for SF Bay LTMS Methylmercury and Dredging Symposium January 28, 2010 Dyan.
A mass balance model for the fate of PAHs in the San Francisco Estuary Ben K. Greenfield Jay A. Davis San Francisco Estuary Institute Presented at the.
1 Regulatory Update Part 2 San Francisco Bay Mercury Coordination Meeting February 22, 2007 Michelle Wood (Central Valley Water Board) Carrie Austin (San.
SF Bay Region Atmospheric Mercury Monitoring Funded by: RMP, USEPA w/ services by: NADP/MDN, Contra Costa, San Francisco, San Jose.
An Investigation of Atmospheric Mercury Deposition to Bay Area Storm Runoff: a Pilot Study Sarah Rothenberg, Lester McKee, Don Yee, Alicia Gilbreath, Michelle.
Principles of Mass Balance
3 rd GEOS-Chem Users’ Meeting April 12, 2007 Elsie Sunderland U.S. Environmental Protection Agency Office of Research & Development National Center for.
1 Mass Flux in a Horizontally Homogeneous Atmosphere A useful tool for emissions and lifetimes. Assume an atmosphere well- mixed in latitude and longitude;
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
Atmospheric Processes Associated with Snow Cover Ablation Events and their Effect on the Flood Hydroclimatology of the Chesapeake Bay Gina Henderson and.
Numerical modeling in lakes, tools and application Marie-Paule Bonnet, Frédéric Guérin UMR 5563 GET IRD, CNRS, OMP, Toulouse III.
1 Small Tributaries Loading Study #2: Zone 4 Line A, Cabot Blvd. Hayward Year 1 – Draft FINAL report Lester McKee and Alicia Gilbreath Sources Pathways.
Potential Effects of Climate Change on New York City Water Supply Quantity and Quality: An Integrated Modeling Approach Donald Pierson, Elliot Schneiderman.
A Methylmercury Budget for San Francisco Bay Donald Yee, San Francisco Estuary Institute.
Slide 1 Mercury Control Program for the Sacramento-San Joaquin River Delta Estuary San Francisco Bay RMP Annual Meeting October 7, 2008 Michelle Wood.
Benefits of the Redesigned RMP to Regional Board Decision Making Karen Taberski Regional Water Quality Control Board San Francisco Bay Region.
Atmospheric Deposition Strategy Straw Proposal. What Pollutants Matter? Highest priority – known impairment AND air sources: Hg, dioxins Moderate priority.
Value of Mass Balance Modeling in Formulating a PTS Reduction Strategy for the Great Lakes Joseph V. DePinto Limno-Tech, Inc. Ann Arbor, MI GLRC PBS Strategy.
A Watershed Year for RMP & CEP: Sources Pathways & Loadings 2002/03 Lester McKee & Jon Leatherbarrow May 2003.
From Micro to Macro: A view from downstream A synthesis of MeHg science from the Yolo Bypass and SFB-Delta Lisa Windham-Myers 9/26/13 EPA Workshop, San.
Control Volume Inputs Mass Balance Modeling Outflows.
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.
1 Regional Data Review : What have we learned in eight years? Lester McKee Sources Pathways and Loadings Workgroup Monday December 8 th 2008 San Francisco.
Physical and chemical factors controlling mercury and methylmercury concentrations in stream water Mark E. Brigham and Dennis A. Wentz 5 th National Monitoring.
Hg Process Study Options RMP CFWG September 14, 2007.
Hg Fate and Transport Within the San Jose/Santa Clara WPCP: Study Design and Interim Progress Report Item #4.
A Mass-Balance, Watershed-Scale Analysis of the Chemistry of Adirondack Lakes Discussion - Day 5.
1 Methylmercury TMDL & Implementation Plan for the Sacramento-San Joaquin River Delta Estuary 2006 National Monitoring Conference Michelle Wood.
1 Richard Looker 2008 RMP Annual Meeting October 7, 2008 The Water Board’s Regulatory Approach and the RMP Mercury Strategy Hg.
Marine Ecosystem Simulations in the Community Climate System Model
with contributions from:
Completing the SF Bay Mercury TMDL Carrie Austin SF Bay Water Board.
Science Assessment to Support an Illinois Nutrient Reduction Strategy Mark David, George Czapar, Greg McIsaac, Corey Mitchell August 8,
U.S. Department of the Interior U.S. Geological Survey The Air and Water Connection of Mercury in Watersheds Presentation for ORSANCO Technical Committee.
How Will Climate Change Affect Water Quality and Biogeochemical Processes in the Delaware Estuary? David Velinsky Patrick Center for Environmental Research.
Copper Source Loading Estimates (Process Profiles) Physical & Chemical Characterization of Wear Debris (Clemson University) Water Quality Monitoring (ACCWP)
Localized Mercury Bioaccumulation Study Presented to the SFEI 20 February 2008.
Dissolved oxygen (DO) in the streams
1 Optimizing sampling methods for pollutant loads and trends in San Francisco Bay urban stormwater monitoring Aroon Melwani, Michelle Lent, Ben Greenfield,
Sanitary Engineering Lecture 4
Sources, Pathways, and Loadings Regional Monitoring Program for Trace Substances Annual Meeting, March 23 rd 2002 Lester McKee Watershed Program Manager.
SF Bay Hg Coordination Meeting Feb 2009
John J. Oram, Lester J. McKee, Christine E. Werme, Mike S
AQUATOX v. 3.1 Host Institution/URL
Conclusions & Future Work
in the Neversink River Basin, New York
Improved Forecasting for PCBs in San Francisco Bay
The Long Term Fate of PCBs in San Francisco Bay Jay A. Davis
Lester McKee RMP Sources Pathways and Loadings Work Group Chair
Elizabeth River PCB TMDL Study: Numerical Modeling Approach
Methylmercury and Mercury in SF Bay & Wetlands
James River PCB TMDL Study: Numerical Modeling Approach
Estimation of Loadings for Nonpoint Sources and Stormwater
Methyl Mercury Concentrations and Loads in the Delta
SETAC North America 28th Annual Meeting
Presentation transcript:

Basic MeHg Mass Budget Don Yee CFWG July 2008 Meeting

Problem Statement MeHg very small % of totHg Poor MeHg:totHg correlation in SF Bay MeHg bioaccumulative form Do Bay MeHg data make sense given… Loading estimates Production, degradation rates Sediment-water exchange?

Objective(s) First order attempt to model MeHg Synthesize state of knowledge Identify key factors affecting MeHg fate Evaluate need to better estimate MeHg load Feasibility/needs of refined model(s) Desired input ID major weaknesses, alternative approaches and assumptions

Approach Synthesizing existing data: Ambient Bay data from RMP S&T Loading data from local (RMP SPL) studies where possible, literature where not MeHg production/degradation rates from local studies where possible Simple simulation of sediment-water processes using 1-box model

1 Box Model Adapted from PCB 1 box (2 box?) model One water box One sediment box (5cm mixed layer) Daily time step Annually uniform (no seasonality) Daily uniform mixing (to 5cm in sediment) Equilibrium partitioning Simplifications ~work for POPs ? Will it work for MeHg ?

External Loads (Imports) Direct atmospheric (wet) deposition Water Discharges from Delta Local watersheds Wetlands POTWs

Atmospheric (wet) Deposition Literature rainfall MeHg (avg 0.11 ng/L) … Watras & Bloom (1989 Olympic Penins. WA 0.15ng/L) Risch et al ( Indiana, 0.06ng/L) St Louis et al (1995, ELA area, 0.05ng/L) Mason et al (1997, Still Pond, MD, HgT x %MeHg avg = 0.04ng/L) x Local annual precipitation (0.45m/y) = 0.10 g/d deposition Baywide

Discharges from… Delta (SWRCB Region 5) Hg TMDL Flow weighted avg concentration x mean annual discharge (4.7g/d) Local watersheds SIMPLE Model urban totHg flux, assume constant %MeHg = 2.7g/d %MeHg from lit median →1.1g/d from local watershed Hayward Z4LA→ 4.1g/d

Discharges from… Wetlands Audobon est. 40k acres wetland (1.6e8 m 2 ), assume 0.3m overlying water every day ~50% water particulate settles -1.2g/d ebb tide dissolved conc ~2.5x flood tide (max 5x Petaluma) +3.2g/d = net 2g/d discharge to Bay Stephenson et al showed net import and export different events for single marsh May be difficult to refine net load

Discharges from… POTWs Annual mean conc x discharge for 16 largest plants (loads for each plant calculated then summed) = 0.79g/d Conc range ng/L (mean ~0.42ng/L) Discharge e9 L/y (sum ~2.15e9g/d)

Loads (Imports) 0.10g/d atmospheric (wet) deposition 4.7g/d Delta 2.7g/d Local watersheds 2.0g/d Wetlands 0.79g/d POTWs ~10.4g/d total MeHg load (3.78kg/y) Other “loads” MeHg production = internal source Biouptake = “export” from water/sed exch.

MeHg Production Unlike totHg & others, MeHg created in situ Complex (non-linear) function of multiple factors- C (not all C available), S(generally not limiting in estuary), Hg (poor regression for SF Bay) Current best guess from range of production rates in lab incubation? Marvin-DiPasquale et al 0.11ng/g·d (geomean of San Pablo, range ) Would otherwise need complex C & S mass balance/speciation & porewater redox model Assume ½ of mixed sediment layer methylates

Biouptake “Loss” Phytoplankton? Cloern productivity ~210gC/m 2 y Hammerschmidt MeHg 0.5ng/g ww =5ng/g dw LakeMichMassBal phyto MeHg = 30 ppb dw C→CH 2 O, geomean MeHg 12ng/g = 19.5g/d MeHg into phytoplankton Phytoplankton rapid turnover (µ~0.3/d?), reversible “loss” from water/sed pools, loss estimate probably too high

Biouptake “Loss” Small fish? Slater (CDFG, IEP) young of year pelagic fish est g/m 3 (Suisun lowest, Central highest, mostly anchovies) mean ~0.17g/m 3 ww biomass RMP anchovy Hg 0.049µg/g ww = 0.13g/day MeHg into fish biomass (<1% of phyto?) Expect less (short term) cycling than algae, “irreversible” net loss by incorporation into higher trophic levels

Other Processes Modeled (dependent on MeHg conc) Volatilization Outflow (through Golden Gate) De/sorption Sedimentation Benthic flux Degradation

Modeled Processes Volatilization- Henry’s Law const for MeHgCl = 0.05 Pa·m 3 /mol (Lindqvist & Rodhe 1985) Outflow (through Golden Gate) Tidal mixing from Connelly, assume ocean MeHg ~MDL, min of Bay, or 0 De/sorption Bay water particulate vs dissolved log Kd=4.1 (could instead use porewater (Choe et al 2004) mean log Kd=4.66)

Modeled Processes Sedimentation Fuller burial rate (0.88cm/y) Could be modeled as erosion Benthic flux Captured in daily resuspension and de/sorption? Degradation Marvin-DiPasquale San Pablo Bay geomean sed demethylation rates = 0.083/d (first order decay) Krabbenhoft Petaluma wetland water half life~7 days (0.10/d decay) Large uncertainties some parameters, but ~no effect

Base Case Run Averaged initial concentrations, parameters Equilibrium reached quickly, ~10-20% diff from T 0 Sed mass up Water mass down (adjust Kd? Relative degradation rates?)

Base Case Run Mass (inventory) vs daily flux/degrade/produce Water Mass Net sediment to water exchange, ext load = Degradation>, GG outflow, >> biouptake,volatilization Total (Water+Sed) Production ~balances degradation >> all other processes *from 1box model, Choe et al flux box ~14g/day Mass in Water0.235kg Ext. Load0.010kg/d Sed to Water*0.028kg/d GG Outflow0.014kg/d W Degrade0.024kg/d Volatilize1.24E-07kg/d Biouptake1.30E-04kg/d Mass in Sed18.02kg Methylate1.513kg/d Sed Degrade1.476kg/d Sed to Water0.028kg/d Burial0.009kg/d

Deep Mix Case Run Mixed depth to 15cm Methylation zone still set to ½ mixed depth Equilibrium reached quickly, ~10-20% diff from T 0 Change only in sediment mass

Parameter Sensitivity ScenarioMass SMass W Base Case17.8 kg0.235 kg 3x Mix Layer305%101% Load /3100%89% Load x3.3101%139% WaterDegrade x0.3101%137% WaterDegrade x 399%57% SedDegrade /4383%337% SedDegrade x2.542%52% Methylate x0.334%45% Methylate x3336%297% LogKd %83%

2 Parameter Changes ScenarioMass SMass W Base Case17.8 kg0.235 kg Meth x0.3, SedDeg x2.514%28% Meth x3, SedDeg /41285%1092% Load x3, SedDeg /4385%378% Meth x3, SedDeg x3101% Meth x0.3, SedDeg x0.3129%125% S&W very sensitive to methylation rate, S deg rate W Moderately sensitive to load, W deg rate Kd has small effect (particulate, dissolved offset?)

Summary Base case w/ average inputs near steady state Close to “right” on Baywide scale? Offsetting errors? High degradation/methylation rates dominate Rapid turnover, week-month scale Quick response of ambient MeHg? External Loads (to water) only small/moderate effect 0.3-3x base estimate) Water & sed linked by Kd and SSC given equilibrium/ steady state assumptions

Next Steps Explore other parameter combos? E.g. high meth + high sed deg look like base case, other mixes of parameters Egregiously bad assumptions? E.g. meth in only ½ of “well mixed” sed layer? Equilib/SS model usable only for sensitivity test? No benthic flux external load? Seeking WG input This budget (small scope, want to address major factors, not a full redesign) Next generation model? (utility, feasibility)