Title: Modeling the Atmospheric Transport and Deposition of Mercury
1Modeling the Atmospheric Transport and
Deposition of Mercury
Dr. Mark Cohen NOAA Air Resources Laboratory 1315
East West Highway, R/ARL, Room 3316 Silver
Spring, Maryland, 20910 301-713-0295
x122 mark.cohen_at_noaa.gov http//www.arl.noaa.gov/
ss/transport/cohen.html
Materials assembled for Mercury in Maryland
Meeting, Appalachian Lab, Univ. of Maryland
Center for Environmental Science 301 Braddock
Road, Frostburg MD, Nov 2-3, 2005
2- What do atmospheric mercury models need?
- Atmospheric mercury modeling
- Why do we need atmospheric mercury models?
- Some preliminary results
- Model evaluation
- Source Receptor Information
2
3- What do atmospheric mercury models need?
- Atmospheric mercury modeling
- Why do we need atmospheric mercury models?
- Some preliminary results
- Model evaluation
- Source Receptor Information
3
4Atmospheric Mercury Fate Processes
4
5NOAA HYSPLIT MODEL
5
66
7- What do atmospheric mercury models need?
- Atmospheric mercury modeling
- Why do we need atmospheric mercury models?
- Some preliminary results
- Model evaluation
- Source Receptor Information
7
8Why do we need atmospheric mercury models?
- to get comprehensive source attribution
information --- - we dont just want to know how much is
depositing at any given location, we also want to
know where it came from - to estimate deposition over large regions,
- because deposition fields are highly spatially
variable, - and one cant measure everywhere all the time
- to estimate dry deposition
- to evaluate potential consequences of alternative
future emissions scenarios
9But modelsmust have measurements
Modeling needed to help interpret measurements
and estimate source-receptor relationships
Monitoring required to develop models and to
evaluate their accuracy
10- What do atmospheric mercury models need?
- Atmospheric mercury modeling
- Why do we need atmospheric mercury models?
- Some preliminary results
- Model evaluation
- Source Receptor Information
10
11What do atmospheric mercury models need?
Emissions Inventories
Meteorological Data
Scientific understanding of phase partitioning,
atmospheric chemistry, and deposition processes
Ambient data for comprehensive model evaluation
and improvement
11
1212
13Why is emissions speciation information critical?
Logarithmic
Hypothesized rapid reduction of Hg(II) in plumes?
If true, then dramatic impact on modeling
results
13
1414
1515
16Atmospheric Chemical Reaction Scheme for Mercury
16
1717
18Some Additional Measurement Issues (from a
modelers perspective)
- Data availability
- Simple vs. Complex Measurements
19Some Additional Measurement Issues (from a
modelers perspective)
- Data availability
- Simple vs. Complex Measurements
20Data availability
21Some Additional Measurement Issues (from a
modelers perspective)
- Data availability
- Simple vs. Complex Measurements
22Simple vs. Complex Measurements 1. Wet
deposition is a very complicated phenomena...
?
- many ways to get the wrong answer incorrect
emissions, incorrect transport, incorrect
chemistry, incorrect 3-D precipitation, incorrect
wet-deposition algorithms, etc..
?
?
23Simple vs. Complex Measurements 2. Potential
complication with ground-level monitors...
(fumigation, filtration, etc.)...
24- Simple vs. Complex measurements - 3. Urban areas
- Emissions inventory poorly known
- Meteorology very complex (flow around buildings)
- So, measurements in urban areas not particularly
useful for current large-scale model evaluations
25Simple vs. Complex Measurements 4 extreme
near-field measurements
Sampling site?
Ok, if one wants to develop hypotheses regarding
whether or not this is actually a source of the
pollutant (and you cant do a stack test for some
reason!).
- Sampling near intense sources?
- Must get the fine-scale met perfect
26Complex vs. Simple Measurements 5 Need some
source impacted measurements
- Major questions regarding plume chemistry and
near-field impacts (are there hot spots?) - Most monitoring sites are designed to be
regional background sites (e.g., most Mercury
Deposition Network sites). - We need some source-impacted sites as well to
help resolve near-field questions - But not too close maybe 20-30 km is ideal (?)
27- What do atmospheric mercury models need?
- Atmospheric mercury modeling
- Why do we need atmospheric mercury models?
- Some preliminary results
- Model evaluation
- Source Receptor Information
27
28Participants
D. Syrakov .. Bulgaria. NIMH A.
Dastoor, D. Davignon Canada...... MSC-Can J
. Christensen . DenmarkNERI G.
Petersen, R. Ebinghaus ...... GermanyGKSS J.
Pacyna . Norway.. NILU J. Munthe,
I. Wängberg .. Sweden.. IVL R. Bullock
USAEPA M. Cohen, R. Artz, R.
Draxler USANOAA C. Seigneur, K. Lohman
.. USA... AER/EPRI A. Ryaboshapko, I.
Ilyin, O.Travnikov EMEP MSC-E
28
29Intercomparison Conducted in 3 Stages
- Comparison of chemical schemes for a cloud
environment - Air Concentrations in Short Term Episodes
- Long-Term Deposition and Source-Receptor Budgets
29
30Participating Models
30
31Anthropogenic Mercury Emissions Inventoryand
Monitoring Sites for Phase II(note only showing
largest emitting grid cells)
31
32Total Gaseous Mercury (ng/m3) at Neuglobsow June
26 July 6, 1995
32
33Total Particulate Mercury (pg/m3) at Neuglobsow,
Nov 1-14, 1999
33
34Reactive Gaseous Mercury at Neuglobsow, Nov 1-14,
1999
34
3535
36- What do atmospheric mercury models need?
- Atmospheric mercury modeling
- Why do we need atmospheric mercury models?
- Some preliminary results
- Model evaluation
- Source Receptor Information
36
37Example of Detailed Results 1999 Results
for Chesapeake Bay
37
38Geographical Distributionof 1999 Direct
Deposition Contributions to the Chesapeake Bay
(entire domain)
38
39Geographical Distribution of 1999 Direct
Deposition Contributions to the Chesapeake Bay
(regional close-up)
39
40Geographical Distribution of 1999 Direct
Deposition Contributions to the Chesapeake Bay
(local close-up)
40
41Largest Regional Individual Sources Contributing
to1999 Mercury Deposition Directly to the
Chesapeake Bay
41
42Largest Local Individual Sources Contributing
to1999 Mercury Deposition Directly to the
Chesapeake Bay
42
43Emissions and Direct Deposition Contributions
from Different Distance Ranges Away From the
Chesapeake Bay
43
44Top 25 Contributors to 1999 Hg Deposition
Directly to the Chesapeake Bay
44
45Preliminary Results for other Maryland Receptors
45
46Maryland Receptors Included in Recent Preliminary
HYSPLIT-Hg modeling (but modeling was not
optimized for these receptors!)
46
47Largest Modeled Atmospheric Deposition
Contributors Directly to Deep Creek Lake based
on 1999 USEPA Emissions Inventory (national view)
47
48Largest Modeled Atmospheric Deposition
Contributors Directly to Deep Creek Lake based
on 1999 USEPA Emissions Inventory (regional view)
48
49Largest Modeled Atmospheric Deposition
Contributors Directly to Deep Creek Lake based
on 1999 USEPA Emissions Inventory (close-up view)
49
50Some Next Steps
50
51Conclusions
51
52Thanks
52
53EXTRA SLIDES
53
54Why might the atmospheric fate of mercury
emissions be essentially linearly independent?
- Hg is present at extremely trace levels in the
atmosphere
- Hg wont affect meteorology (can simulate
meteorology independently, and provide results
to drive model)
- Most species that complex or react with Hg are
generally present at much higher concentrations
than Hg
- Other species (e.g. OH) generally react with many
other compounds than Hg, so while present in
trace quantities, their concentrations cannot be
strongly influenced by Hg
- Wet and dry deposition processes are generally
1st order with respect to Hg
- The current consensus chemical mechanism
(equilibrium reactions) does not contain any
equations that are not 1st order in Hg
54
55Spatial interpolation
Impacts from Sources 1-3 are Explicitly Modeled
1
RECEPTOR
2
3
55
56- Perform separate simulations at each location for
emissions of pure Hg(0), Hg(II) and Hg(p) - after emission, simulate transformations
between Hg forms - Impact of emissions mixture taken as a linear
combination of impacts of pure component runs on
any given receptor
56
57Chemical Interpolation
Impact of Source Emitting Pure Hg(0)
0.3 x
Impact of Source Emitting 30 Hg(0) 50
Hg(II) 20 Hg(p)
Impact of Source Emitting Pure Hg(II)
0.5 x
Impact of Source Emitting Pure Hg(p)
0.2 x
57
5858
59Standard Source Locations in Maryland region
during recent simulation
59
6060
61Eulerian grid models givegrid-averaged estimates
difficult to compare against measurement at
a single location
62Geographic Distribution of Largest Anthropogenic
Mercury Emissions Sources in the U.S. (1999) and
Canada (2000)
62
6363
64- In principle, we need do this for each source in
the inventory - But, since there are more than 100,000 sources in
the U.S. and Canadian inventory, we need
shortcuts - Shortcuts described in Cohen et al Environmental
Research 95(3), 247-265, 2004
64
65Cohen, M., Artz, R., Draxler, R., Miller, P.,
Poissant, L., Niemi, D., Ratte, D., Deslauriers,
M., Duval, R., Laurin, R., Slotnick, J.,
Nettesheim, T., McDonald, J. Modeling the
Atmospheric Transport and Deposition of Mercury
to the Great Lakes. Environmental Research
95(3), 247-265, 2004. Note Volume 95(3) is a
Special Issue "An Ecosystem Approach to Health
Effects of Mercury in the St. Lawrence Great
Lakes", edited by David O. Carpenter.
65
66- For each run, simulate fate and transport
everywhere, - but only keep track of impacts on each selected
receptor - (e.g., Great Lakes, Chesapeake Bay, etc.)
- Only run model for a limited number (100) of
hypothetical, individual unit-emissions sources
throughout the domain - Use spatial interpolation to estimate impacts
from sources at locations not explicitly modeled
66
670.1o x 0.1o subgrid for near-field analysis
67
680.1o x 0.1o subgrid for near-field analysis
68
6969
7070
7171
7272
73Hypothesized rapid reduction of Hg(II) in plumes?
If true, then dramatic impact on modeling
results
74Why is emissions speciation information critical?
Linear
74
75Why is emissions speciation information critical?
Logarithmic
Linear
75
76Emissions and Chemistry
- The form of mercury emissions (elemental, ionic,
particulate) is often very poorly known, - but is a dominant factor in estimating
deposition (and associated source-receptor
relationships) - Questions regarding atmospheric chemistry of
mercury may also be very significant - The above may contribute more to the overall
uncertainties in atmospheric mercury models than
uncertainties in dry and wet deposition
algorithms
7777
78Total Gaseous Mercury at Neuglobsow June 26
July 6, 1995
78
79Total Gaseous Mercury (ng/m3) at Neuglobsow June
26 July 6, 1995
The emissions inventory is a critical input to
the models
Using default emissions inventory
79
80Some Additional Measurement Issues (from a
modelers perspective)
- Data availability
- Simple vs. Complex Measurements
- Process Information
81Process Information 1. Dry Deposition -
Resistance Formulation
- 1
- Vd --------------------------------- Vg
- Ra Rb Rc RaRbVg
- in which
- Ra aerodynamic resistance to mass transfer
- Rb resistance of the quasi-laminar sublayer
- Rc overall resistance of the canopy/surface
(zero for particles) - Vg the gravitational settling velocity (zero
for gases).
82Dry Deposition
- depends intimately on vapor/particle partitioning
and particle size distribution information - resistance formulation Ra, Rb, Rc...
- for gases, key uncertainty often Rc (e.g.,
reactivity factor f0) - for particles, key uncertainty often Rb
- How to evaluate algorithms when phenomena hard to
measure?
83Particle dry deposition phenomena
Atmosphere above the quasi-laminar sublayer
Ra
Very small particles can diffuse through the
layer like a gas
Very large particles can just fall through the
layer
Quasi-laminar Sublayer ( 1 mm thick)
In-between particles cant diffuse or fall easily
so they have a harder time getting across the
layer
Rb
Wind speed 0 (?)
Rc
Surface
84Vd settling velocity
Diffusion low Settling velocity low Vd
governed by Rb
Diffusion high Vd governed by Ra
85Process information needed1. For particle dry
deposition, must have particle size distributions!
86ATMOSPHERE
Particle-Phase Pollutant
Gas-Phase Pollutant
PROCESS INFORMATION 2. The gas-exchange flux at
a water surface depends on the concentration of
pollutant in the gas-phase and the
truly-dissolved phase (but these are rarely
measured)
Pollutant Truly Dissolved in Water
Pollutant on Suspended Sediment
LAKE