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National Kxposure Research Laboratory
Research Abstract

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Significant Research Findings:

Operational Evaluation of Atmospheric Mercury Simulation
Using the Community Multiscale Air Quality (CMAQ) Model

Scientific Problem Many areas of the United States currently have public advisories
and Policy Issues	regarding the consumption of mercury-contaminated fish. The

atmosphere is known to be the primary source of mercury entering
aquatic ecosystems. The Community Multiscale Air Quality (CMAQ)
numerical simulation model is being expanded to help identify the air
emission sources responsible for this atmospheric deposition of
mercury. Evaluation of simulation models by comparison of their
simulation results to actual observations is necessary to establish an
appropriate level of confidence in the models and to identify missing or
inaccurate process information so that model improvements can be
made. The testing performed for this study has shown that CMAQ
mercury simulations of mercury wet deposition are more accurate in the
cool seasons when precipitation is primarily from large-scale weather
features, but less accurate when small-scale convective precipitation is
most prevalent. Measurement of mercury dry deposition has only been
attempted on an experimental basis, and model testing for this pathway
for atmospheric mercury deposition is not yet feasible.

Research Approach New CMAQ software has been developed to simulate the emission,

transport, chemical and physical transformation, and wet and dry
deposition of atmospheric mercury. The CMAQ mercury model
(CMAQ-Hg) defines atmospheric mercury in terms of three separate
species, elemental mercury (Hg"), reactive gaseous mercury (RGM) and
particulate mercury (Phg). Anthropogenic emissions of mercury are
based on an emissions inventory developed at the U.S. Environmental
Protection Agency's (EPA) Office of Air Quality Planning and
Standards and chemical/physical emissions speciation assumptions
developed at EPA's National Exposure Research Laboratory (NERL).
Emissions of sulfur dioxide (S02), volatile organic compounds (VOCs),
halogen gases, and carbon-rich particulate aerosols are believed to have
an important effect on chemical and physical transformations of mercury
in air and in cloud water. Thus, the CMAQ's "one-atmosphere"
approach involving comprehensive multi-pollutant simulation is well

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suited to the study of atmospheric mercury. In addition to the pre-
existing CMAQ model chemistry, the CMAQ-Hg simulates four gas-
phase reactions, seven aqueous-phase reactions, six aqueous
dissociation equilibria, and two gas-liquid partitioning equilibria
involving mercury and mercury compounds based on information
published in the peer-reviewed scientific literature. In addition to
chemical reactions, the CMAQ-Hg also simulates the physical
adsorption of various mercury compounds to carbon aerosol suspended
in cloud water. Estimates of total mercury wet deposition from CMAQ-
Hg simulations have been compared to weekly observations from the
Mercury Deposition Network (MDN) obtained at eleven sites in the
central and eastern United States during two four-week periods in 1995.

Results and	For the spring period from April 4 to May 2, CMAQ-Hg wet deposition

Implications	results were compared to 28 weekly MDN observations from eight

sites, and a Pearson correlation factor of 0.66 was computed. The least-
squares linear regression showed an intercept close to zero, but the
slope of the regression line was only 0.69, suggesting that the CMAQ-
Hg was generally underestimating wet deposition of mercury for this
period. However, the mean CMAQ-Hg value was greater than the mean
of the MDN observations due to a few model estimates of large Hg wet
deposition when observations showed very little.

For the summer period from June 20 to July 18, CMAQ-Hg wet
deposition results for total mercury were compared to 35 weekly MDN
observations from 11 sites, and a Pearson correlation factor of 0.33 was
computed. The least-squares linear regression showed a slope similar
to that found for the spring period, but the y-axis intercept was quite
large. Given the small correlation factor, this least-squares regression
was probably not a strong indicator of model skew or bias. When the
linear regression y-axis intercept was forced to zero, the slope was 1.20
and overestimation of wet deposition was indicated for the summer
period. The general indication for the summer period was a weak
relationship between observed and modeled Hg wet deposition.

It was found that the difference in model accuracy between the spring
and summer periods was largely due to difference in the accuracy of the
precipitation estimates from the CMAQ meteorological driver.
Comparison of observed and modeled precipitation amounts at the
MDN sites showed a Pearson correlation factor of 0.80 for the spring
period, but only 0.13 for the summer period. A tendency for
underestimation of precipitation during the spring period was also
found. During the summer period, when most of the precipitation was
from small thunderstorms rather than large-scale weather systems, the

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precipitation was simply not being defined accurately at the 36-km
horizontal resolution used in the CMAQ-Hg simulations.

Completion of this CMAQ-Hg model evaluation satisfied Annual
Performance Measure #39 (Operational Evaluation of the CMAQ
Mercury Model) under the Government Performance and Results Act
(GPRA) Goal 1 (Clean Air). The results suggest that the CMAQ-Hg
model applied using a 36-km horizontal resolution is capable of
simulating atmospheric mercury with moderate accuracy when the
majority of precipitation is from large-scale weather features.
However, when a significant fraction of precipitation is from small-
scale features like thunderstorms and isolated showers, a more refined
horizontal resolution is required.

This project was aided by model application and programming support
obtained through inter-agency agreement #DW47938686 with the GSA,
and by NERL's participation in a mercury model intercomparison
project sponsored by the European Monitoring and Evaluation
Programme (EMEP).

Examples of recent publications from this study include:

Bullock, O. R., Jr., and Brehme, K.A. Description and Evaluation of Atmospheric
Mercury Simulation Using the CMAQ Model. Submitted to Atmospheric
Environment

Future Research	Further CMAQ-Hg model development and evaluation will be

conducted as additional process information for atmospheric mercury
becomes available through field study and basic physicochemical
research described in EPA's Mercury Research Strategy
(http://www.epa.gov/ORD/NRMRL/mercury/)

Questions and inquiries can be directed to:

O. Russell Bullock, Jr.

US EPA, Office of Research and Development
National Exposure Research Laboratory
Research Triangle Park, NC 27711

Phone: 919/541-1349
E-mail: bullock.russell@epa.gov

Research
Collaboration and
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National Exposure Research Laboratory — October 2001


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