source attribution of mercury exposure for u.s. seafood consumers: implications for policy
DESCRIPTION
SOURCE ATTRIBUTION OF MERCURY EXPOSURE FOR U.S. SEAFOOD CONSUMERS: IMPLICATIONS FOR POLICY. Noelle Eckley Selin Joint Program on the Science and Policy of Global Change Center for Global Change Science Massachusetts Institute of Technology AGU Fall Meeting 19 December 2008. - PowerPoint PPT PresentationTRANSCRIPT
SOURCE ATTRIBUTION OF MERCURY EXPOSURE FOR U.S. SEAFOOD
CONSUMERS: IMPLICATIONS FOR POLICY
Noelle Eckley SelinJoint Program on the Science and Policy of Global Change
Center for Global Change Science
Massachusetts Institute of Technology
AGU Fall Meeting
19 December 2008
Coauthors: E. M. Sunderland (Harvard), C. D. Knightes, (U.S. EPA), R. P. Mason (U. Conn.), S. Paltsev (MIT), J. M. Reilly (MIT), R. G. Prinn (MIT)
20% 16%
Atmosphere[GEOS-Chem, Selin and Jacob, 2008]
Watershed/Water body
[Knightes et al., in press]
3. Local exposure 4. Population-wide exposure5. Economic
implications[MIT EPPA model, Paltsev et al. 2006]
Marine pathwayFreshwater pathway
HOW DO POLICIES AFFECT EXPOSURE?
Ocean dynamics[Sunderland and
Mason, 2007]2. Policy and Timescale Analysis
1. Deposition and source attribution
MODELS (1): ATMOSPHERE (GEOS-Chem)
[Selin et al., 2008; Selin and Jacob, 2008]
Global, 3D tropospheric chemistry model simulation, 4x5 degree resolution, assimilated meteorology [Bey et al., 2001]
Provides wet and dry deposition (present-day) from:Natural sources (pre-industrial simulation)
North American anthropogenic sourcesInternational anthropogenic sources
Historical anthropogenic sources (“Legacy” mercury revolatilized from surface reservoirs)
1/3
1/3
1/3
MODELS(2):WATERSHED/WATER BODY
[Knightes et al., in press]
SERAFM: Lake model WASP7: River modelWCS (MLM): Watershed loading BASS: Aquatic food web
Models available from EPA (Athens)
MODELS (3): OCEAN DYNAMICS
EVASIONATMOSPHERIC DEPOSITION
RIVERS
LATERAL OCEAN FLOW
RESERVOIR Mw = CwVw
MARINE BOUNDARY LAYERCair
DEEP WATER FORMATION
PARTICLESETTLING
kv
kO1
kO2
kp
[Sunderland and Mason, 2007]
14 ocean basins (North Atlantic, Surface Atlantic, Mediterranean, North Pacific, etc.)
1. DEPOSITION AND SOURCE ATTRIBUTION (FRESHWATER)
% Deposition from North American sources[Selin and Jacob, 2008]
NE Total: 24.21 g m-2 y-1
SE Total: 34.08 g m-2 y-1
Pre-industrial + Historical
InternationalAnthropogenic
N. AmericanAnthropogenic
11%
23%
66%
59%
9%
32%
Two freshwater deposition scenarios: “Northeast” and “Southeast” U.S.
2. POLICY & TIMESCALE ANALYSIS (FRESHWATER)F
ish
MeH
g (p
pm)
Same deposition,but different ecosystem
dynamics lead to very different source attributions (and
concentrations) over time
Regional differences in deposition sources lead to different attributions in similar ecosystems
Watershed/water body models: Knightes et al., in press; source attribution, Selin et al. in prep
Note difference in scale!
Each ecosystem driven by present-day deposition for 40 years (10-year spin up)Policy experiment: All Hg is “historical” at t=0. How is anthropogenic signal
reflected in fish, and on what timescale?
3. LOCAL EXPOSURE (FRESHWATER)2 x 100 g fish meals/week (60 kg person) @ t=40 y
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Stratified Seepage Stratified Seepage
MeHg intake (ug/kg/day)
Northeast Deposition Southeast Deposition
6.4
WHO intake threshold
EPA Reference Dose
North American anthropogenic
Historical+NaturalInternational anthropogenic
4. POPULATION-WIDE EXPOSURE (MARINE)
Calculate exposure from each basin from commercial market statistics
Historical exposure is continuing to increase, complicating policy decision-making “current emissions” scenario
14-box model: Sunderland and Mason, 2007; exposure by basin, Sunderland et al. in prep; Source attributions/exposure index: Selin et al., in prep
5. ECONOMIC IMPLICATIONS (MARINE)
• MIT Emissions Prediction and Policy Analysis (EPPA) model
• IQ deficits from mercury exposure [Axelrad, 2007] cost 2.5% of income per point lost [Salkever, 1995]
• Calculate additional cost of US emissions for general population (marine) exposure beginning in 2000
00.5
11.5
22.5
33.5
44.5
5
2000 2020 2040 2060 2080 2100
Cost ($billion)
Methodology takes into account
“indirect” costs of lost investment/savings
Other estimates: $1.3b for US power plants alone (Trasande et al., 2005); $119m-4.9b (Rice et al. 2005)