United States ,
                   Environmental Protection
                   Agency
Environmental Sciences Research
Laboratory
Research Triangle Park NC 27711
                   Research and Development
EPA-600/S7-83-058  Jan. 1984
&ERA         Project Summary
                   Sulfur  Deposition  Modeling  in
                   Support  of  the  U.S./Canadian
                   Memorandum of Intent on
                   Acid  Rain
                   T. L Clark and D. H. Coventry
                     At the request of the U.S./Canadian
                   Work Group 2 of the Acid Rain Memo-
                   randum of Intent, the Eastern North
                   American Model of Air Pollution
                   (ENAMAP-1) was applied to simulate
                   the monthly wet and dry depositions
                   and monthly averaged ambient concen-
                   trations of SOzand SO< for January and
                   July 1978 across eastern  North
                   America.  Using these model results,
                   unit emissions (1.0 Tg S yr'1) transfer
                   matrices, which describe source/
                   receptor relationships, were generated
                   and a model performance study was
                   undertaken. In addition, a model sensi-
                   tivity study was conducted to examine
                   the consequence of model input param-
                   eter uncertainties.

                     This Project Summary was developed
                   by EPA's Environmental Sciences Re-
                   search Laboratory, Research Triangle
                   Park, NC, to announce key findings of
                   the research project that is fully docu-
                   mented in a separate report of the same
                   title (see Project Report ordering in-
                   formation at back).

                   Introduction
                     In the mid 1970's, SRI International
                   developed a Lagrangian-puff air pollution
                   model, European Regional Model of Air
                   Pollution (EURMAP)forthe Federal Envi-
                   ronment Office of the Federal Republic of
                   Germany (Johnson, et al., 1978). This
                   regional model was capable of calculating
                   monthly S02 and SO« concentrations and
                   dry and wet deposition patterns and
                   international exchanges of sulfur across
                   13 countries of western  and central
                   Europe.
  In the late 1970's, SRI International,
sponsored by the U.S. Environmental
Protection Agency (EPA), adapted and
applied EURMAP  to eastern  North
America. The adapted version of this
model. Eastern North American Model of
Air Pollution (ENAMAP), was capable of
calculating monthly SOzandSO^concen-
trations and dry and wet deposition
patterns and interregional exchanges of
sulfur across a user-defined number of
regions (Bhumralkar et al., 1980). Thus, it
was possible to assess the impact of
sulfur emissions from individual sites and
provinces on the sulfur concentrations
and depositions across the same regions.
  In 1981, the Atmospheric Sciences and
Analysis Work Group (Work Group 2) of
the  U.S./Canadian  Memorandum  of
Intent  on Transboundary Air  Pollution
included the ENAMAP-1 model as one of
eight  Lagrangian  long-range  sulfur
pollution  models to be applied. Work
Group 2  requested ESRL to apply the
ENAMAP-1  model  using January and
July 1978 input data to generate transfer
matrices, assess model performance, and
analyze model sensitivity in input param-
eters. This report summarizes the ESRL
work.


Model Description

Parameterizations
  In the design and development of any
air quality simulation model, there are
usually two conflicting goals: maximum
realism and accuracy on one hand, and
minimum computational requirements on
the other. Greater realism and accuracy

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usually require more detailed information
and sophisticated formulations of physical
processes, which  in turn require more
computer time and memory capacity. It
was clear from the outset that the com-
puter requirements could be severe for
two reasons:
1.  The model  must treat a very large
    geographical area (2870 km north to
    south and 3220 km east to west) and
    yet preserve acceptable spatial reso-
    lution (70 by 70 km).
2. The model  must compute  monthly
   and annual  mean concentration and
   deposition fields while preserving the
   original temporal resolution (12 h) of
   standard  meteorological data; thus,
   the  model  must make repetitive
   calculations for long sequences of
    input data.

  Accordingly, as  a  first  step,  it was
desirable to design a very simple model
having minimum computer requirements
(i.e.,  a practical and economical model
that would offer acceptable  realism in
simulating the most important processes
involved in the transboundary sulfur
pollution problem). More sophisticated
parameterizations can replace the sim-
plistic approaches described  here  as
knowledge of the  appropriate  physical
processes  accumulates.  Later, the sim-
plistic parameterizations of vertical mixing,
dry and wet depositions, and transforma-
tions  of S02  will  be replaced by more
sophisticated  parameterizations by the
end of 1982. Also by the end of 1982, NO,
chemistry will be added to the model.

Results

Model Applications
  To accomplish its goals. Work Group 2
requested  that each  of the eight long-
range transport models generate  the
following model output:
1.  annual 1978 unit transfer  matrices
    of wet sulfur  deposition, dry sulfur
    deposition,  ambient  S02 concentra-
    tions,  and ambient SOi concentra-
    tions normalized by a 1.0 Tg S yr~1
    emission rate  from  each of the 40
    source/receptor regions and 9 sensi-
    tive receptors defined by Work Group
    2, and
2.  January.  July, and annual 1978 wet
    sulfur depositions and average ambi-
    ent SOUconcentrations at monitoring
    sites selected by Work Group 2.
The  unit  transfer  matrices, although
strongly influenced by the meteorological
scenarios used in the simulation period,
were to be used by another work group to
assess the  merits  of several  emission
scenarios. From these transfer matrices,
the effects of emissions from individual
regions  on  the  sulfur depositions and
ambient concentrations across sensitive
receptor areas (Boundary Waters, Algoma,
Muskoka, Quebec, southern Nova Scotia
in Canada and northern New Hampshire,
the Adirondacks, central  Pennsylvania,
and Great Smoky Mountains in the United
States) and 40 source/receptor regions
of Canada and the United States could be
determined.
  The January and July 1978 meteoro-
logical data used to generate the transfer
matrices were analyzed and gridded by
preprocessors as described in the pre-
vious  section. The emissions from each
grid cell within a given source/receptor
region were  multiplied by a  constant
factor so that the total  annual sulfur
emissions from  that region equaled 1.0
Tg.
  Since the  meteorological  data and
analyses for the entire year of 1978 were
unobtainable  in  the rather brief time
frame imposed upon the work group,  it
was agreed that ENAMAP-1  would be
applied using only Januaryand July 1978
input  data.  Annual  estimates  of  the
transfer matrices would be based only on
matrices for those two months. In addi-
tion, since the ENAMAP-1 domain did not
include western North America, only 35
instead  of 40 source/receptor regions
were considered.
  The ENAMAP-1 January and July 1978
unit transfer  matrices are presented in
two appendices in  the final report. The
transfer  matrices  indicated  that  the
sources within any  1 of the 35 regions
contributed significantly  to the sulfur
depositions and concentrations within
that region.  In January,  an average of
68% of SO2 wet deposition in a particular
region resulted from SO2 emissions from
that region. Similarly, in July, an average
of 64% of the S02 wet deposition in a par-
ticular region resulted from S02 emis-
sions from that region. The ENAMAP-1
results indicated that much of the sulfur
wet  deposition  consisted of  S02 wet
deposition (in some cases, wet deposition
of SO2 was an order of magnitude greater
than that of S0<) and that "local" sources
are significant in sulfur wet deposition.


Model Evaluation
  An  ideal assessment of the perform-
ance of any regional sulfur model would
require  an  extensive data base of dry
sulfur depositions, wet sulfur depositions,
and ambient SC>2and SC>4concentrations
measured during all seasons of the year
across all portionsof the modeling domain
that are removed from the effects of local
sources. Unfortunately, such a data base
does not exist.  However, daily average
concentrations of SC>2 and 364 from 1
Canadian and 53 U.S. sites were available
from the  Electric Power Research Insti-
tute's Sulfur Regional Experiment (EPRI-
SURE). Monthly sulfur wet  deposition
data for  these  periods were available
from several  Multistate Atmosphere
Power  Production  Pollution Study
(MAP3S) sites in the northeastern U.S.
and from about a dozen Canadian Network
for  Sampling  Precipitation  (CANSAP)
sites. Together, these data  formed the
best available regional sulfur modeling
evaluation data base  for North America
during this period.
  Work Group 2 screened the data  on
ambient SO* and sulfur wet deposition
for  January and  July 1978. For the
MAP3S network,  precipitation samples
with a catch of less than 50% of a nearby
rain  gauge  measurement were ignored.
Otherwise,  the precipitation sample
amount was adjusted to the rain gauge
measurement. Valid   monthly  samples
required  a  minimum 90% capture. For
CANSAP, 7 of the 16 operational  sites
were ignored because of operational or
siting problems. Valid monthly samples
required a minimum operational time of
20 and a minimum collection efficiency of
25%. Collection efficiency was defined as
the ratio (%) of the precipitation recorded
by the sampler to that measured  by a
colocated rain gauge. Since even rain
gauges do not collect  all of the precipita-
tion (precipitation collection efficiency is
a function of gauge type, site  exposure,
and wind velocity), the rain gauge precipi-
tation  data from  both networks were
adjusted.
  The  S02 emission  data used in the
evaluation  study were  obtained  from
several sources, since a complete 1978
emission inventory was  not  available.
Because much  of the S02 was emitted
from electric power plants, it was imper-
ative to accurately define the 1978 power
plant emissions.  With  this  in  mind.
Environment Canada  prepared a  1978
S02 emission  inventory for large  point
sources. Emissionsfrom all other sources
were assumed to be the same as in 1976.
The  1978 S02 emissions from the U.S.
power plants were estimated from fuel-
use  records, while the 1978  emissions
from all other sources were assumed to

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 be the  same as  in 1980, the year for
 which emissions data were available.
   The emission data set was more precise
 than the precipitation data set. Due to the
 lack of extensive precipitation measure-
 ments tn Canada in the winter, the 3-h
 precipitation amounts used in  the
 ENAMAP-1  applications were extrap-
 olated for much of the Canadian portion
 of the grid domain. The data  from the
 Canadian sites showed  less agreement
 with the monthly ENAMAP-1 precipita-
 tion amounts across the grid  cells en-
 compassing each site.
   Because the measured data set was
 inadequate  for  concrete conclusions.
 Work Group  2 computed the values of
 selected statistical parameters to assess
 the  performance of  the  models for
 January, July, and annual 1978. Models
 applied to only the two months were not
 evaluated for the annual period.  This
 evaluation exercise was expected  to
 identify models  that  consistently per-
 formed  unacceptably.
  Table 1 presents the values of the
 statistical parameters calculated for the
 ENAMAP-1 results. The residuals were
 determined by subtracting the calculated
 value from the observed value. The mean
 residual is a good measure of a model's
 ability to correctly calculate the higher
 and  lower observed values. In general, a
 model is said to overpredict the observa-
 tions when the mean residual is less than
 zero. For a "good" model, the correlation
 between the residual and the calculation
 is low.
  Based on the correlation of the residual
 and  calculation, the model performed
 best for July sulfur wet deposition and
 January ambient  SOl  concentrations.
 Furthermore, the  values of the mean
 residuals were comparable.

 Model Sensitivity Study
  Every numerical simulation model pro-
 duces results that do not concur exactly
 with observations. These discrepancies
 are due partially to uncertainties in the
 values of model  input parameters (e.g.,
 dry deposition rates, scavenging coeffi-
 cients,  mixing heights,  transformation
 rates, etc.). Atmospheric scientists cannot
 reach a consensus on a single appropriate
 value for each  of these model  input
 parameters,  but  a consensus  can be
 reached on a general  range of "accep-
table" values.
  Since there are many  "acceptable"
 values,  the modeler  is  faced with the
 problem of selecting one value to use in
 model applications. The magnitude of this
 Table 1.  Values of Statistical Parameters Calculated for the ENAMAP-1 Results
Parameter
   Total Sulfur Wet Deposition (kg ha V
January 1978             July 1978
Sample size
Mean of observation
Mean of calculation
Mean residual
Standard deviation of residual
Correlation of residual and calculation
    5
    0.84
    1.00
   -0.16
    0.31
   -0.62
11
 1.20
 0.87
 0.33
 0.46
 0.18
                                    Average Ambient SO4 Concentrations (jig m )
                                     January 1978             July 1978
Sample size
Mean of observation
Mean of calculation
Mean residual
Standard deviation of residual
Correlation of residual and calculation
   29
    6.8
    6.3
    0.5
    1.8
    0.14
47
11.6
11.8
-0.2
 4.9
-0.36
 problem is proportional to the model
 sensitivity, or the degree  of  observed
 change in the model calculation from a
 unit change in the model input value. If
 the model  proves sensitive to  a  certain
 model input parameter, the modeler must
 carefully select the value of that  param-
 eter. A model sensitivity study  identifies
 those model input parameters  whose
 values must be chosen carefully.
  In a sensitivity study, the  model is
 applied  many times; the value  of one of
 the model input  parameters is changed
 each time, and the resultant changes in
 model output  are  examined. Typically,
 this involves the  consumption of consid-
 erable computer time. To minimize this
 expense, this sensitivity study used an
 abbreviated  version of ENAMAP-1 and
 only 3 values of each of the 15 model
 input parameters (Table 2). Two of the
 three values represented the low and high
 values of the "acceptable" range of each
 parameter,  while the  third  value (base
case) was  the  value  used  in past
 ENAMAP-1 applications.

  The abbreviated version of ENAMAP-1
 considered (1) only one emission source,
 which emitted puffs of S02 and  S0~4 at
 12-h  increments, (2) a continuous  1.0
 mm  h~1  precipitation rate, and (3) a
 uniform transport wind from the  south-
 west. All other parameterizations were
 preserved, with the exception of the SO2
 and SOi dry depositions, which  reflected
the parameterization used in a version of
 ENAMAP-1 currently under development.
This parameterization is based on atmos-
 pheric stability and land-use characteris-
 tics. The region between southern Ohio
 and eastern Quebec was selected. The
 Adirondacks sensitive area is located in
   the middle of this region, 700 km from the
   source.

   Conclusions
     Any conclusions drawn from only two
   1-month periods would not likely apply to
   much  longer periods. However, for this
   evaluation data set, the model performed
   rather well. The  ENAMAP-1  January
   mean  sulfur wet deposition was slightly
   greater than the  monthly mean of the
   measurements at the five sites. The
   ENAMAP-1  July mean was slightly less
   than the mean measurement. The mean
   ambient SOi concentrations calculated
   by the model  (6.3 and 11.8 //g rrT3 for
   January and July, respectively) compared
   very favorably with the mean measure-
   ments (6.8 and 11.6/ug m"1 for January
   and July, respectively). The mean resid-
   uals for both January and July were less
   than 1.0 fjtg irr3. Except for the case of
   sulfur  wet  deposition in  January, the
   absolute values of the correlation be-
   tween the residuals and the model calcu-
   lations were less than  0.40,  which
   indicated that the model performed well
   for the two 1 -month periods.
     The  model sensitivity study assessed
   the changes in the model output at 100-
   km  increments downwind  of  a  single
   source due to changes in the values of
   one of the model input parameters. Some
   significant conclusions of this study were:
   1.  The 3-h time step used in previous
       ENAMAP-1  applications  led to a
       saw-toothed distribution in the model
       output for moderate and high wind
       speeds (> 20 km h"1).

   2.  A 2-h time step led to a saw-toothed
       distribution in  the  model output for

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Table 2. Model Input Parameter Values Considered in the Sensitivity Study
Parameter Case 1 Base Case
Computational time step (h)
Wind speed (km h" )
Precipitation rate (mm /i"V
Puff expansion rate (km2 /»"V
Transformation rate (% /T1/
Mixing height (km)
Initial puff size (km)*
SOz wet deposition rate (% mm'1)
SOl wet deposition rate (% mm'*)
SOz dry deposition factor ft
SO 4 deposition factor ft
SOz emission rate (kton />"V
SO* emission rate (kton h'1)
SOz loss rate from mixed layer top (kton /?~V
SO* loss rate from mixed layer top (kton h'1)
1.0
8.1
0.05
29.0
0.50
1.00
60.0
10.0
1.0
0.67
0.167
0.29
0.018
0.005
0.005
3.0
24.2
0.10
36.0
1.00
1.45
70.0
28.0
7.0
1.00
1.000
0.36
0.000
0.000
0.000
Case 2
2.0
40.3
o.ts
42.0
1.50
1.90
80.0
46.0
13.0
2.22
1.830
0.43
0.036
0.010
0:010
'The initial area of each puff is defined as the area of a square of sides EMISCELL
ttThe land-use, stability-dependent dry deposition rates are multiplied by these factors.
3.
    only the high wind speed (> 35 km    9.
    A 1-h time step did not remove the
    saw-toothed distribution in the model
    output for the high wind speed, but it
    did reduce the  amplitude of the
    fluctuations.

    Within 700 km of the source, S02
    wet deposition was sensitive to the
    S02 wet deposition rate; at a dista nee
    of 100 km from the source, S02 wet
    deposition  increased about 200 to
    about 800 mg m~2 resulting from an
    increase  in the SO2 wet deposition
    rate of 0.10 to 0.46% mm"1
6.
7.
8.
    Beyond 200 km from the source, SO*
    wet deposition was sensitive to the
    SO2 wet deposition rate; at a distance
    of 1 500 km from the source, SO* wet
    deposition decreased  about  25 to
    about  10 mg m~2 for  the  same
    increase in the SO2 wet deposition
    rate.
    Beyond 100 and 300 km, the ambient
    concentrations of SOz and SO*, re-
    spectively, were sensitive to the SOz
    deposition rate.

    The  SOz  and SO*  wet deposition
    rates affected wet  deposition and
    concentrations more than the
    changes in the SO2 dry deposition
    rate (from 67 to 220% of the base
    case value).

    Changing the SO*dry deposition rate
    (from  1 6.7 to 1 83.0% of the base
    case value) affected the SO* concen-
    trations and wet depositions in the
    same way as changing the SOz wet
    deposition rate.
The  consideration of  a  small  SO*
emission rate, 18th'1 or 5% of the
base case SOz emission rate, resulted
in significant increases in SO* con-
centrations and wet deposition; at
200  km from the source, deposition
and concentration  increased  35 and
48%, respectively.
  The model sensitivity study also asses-
sed changes in model output at 100-km
increments downwind of a single source
due to changes in all the model input
parameters except those  relating to
meteorological and emission scenarios.
  This assessment showed that the SO*
wet depositions and SOz concentrations
calculated  using the base case values
were  very  similar to  those calculated
using the high case values. Furthermore,
the SO* concentrations beyond 500 km of
the source  calculated for the base case
were  greater than those calculated for
the other two cases.
References
Bhumralkar, C.  M., R. L Mancuso, D. E.
  Wolff, R. A. Thillier, K. C. Nitz, and W. B.
  Johnson (1980). ENAMAP-1 Long-Term
  Air Pollution  Model: Adaptation and
  Application to Eastern North America.
  U.S. Environmental Protection Agency,
  EPA-600/4-80-039, 93 pp.

Johnson, W.  B., D. E.  Wolff, and R. L
  Mancuso (1978).  Long-Term Regional
  Patterns and Transfrontier Exchanges of
  Airborne  Sulfur  Pollution  in  Europe.
  Atmos. Environ., 12:51-527.
                                          The EPA authors. T. L. Clark (also the EPA Project Officer, see below) and D. H.
                                            Coventry are with the Environmental Sciences Research Laboratory, Research
                                            Triangle Park, NC 27711.
                                          The complete report, entitled "Sulfur Deposition Modeling in Support of the U. S. /
                                            Canadian Memorandum of Intent on Acid Rain." (Order No. PB 84-122 837;
                                            Cost: $14.50, subject to change) will be available only from:
                                                 National Technical Information Service
                                                 5285 Port Royal Road
                                                 Springfield, VA 22161
                                                  Telephone: 703-487-4650
                                          The EPA Project Officer can be contacted at:
                                                 Environmental Sciences Research Laboratory
                                                  U.S. Environmental Protection Agency
                                                 Research Triangle Park. NC 27711

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