United States
                   Environmental Protection
                   Agency
 Atmospheric Sciences        *> ,f
 Research Laboratory           * • i
 Research Triangle Park NC 27711
                    Research and Development
EPA/600/S3-86/069 Mar. 1987
&ER&         Project  Summary
                   Comprehensive  Field Study
                   Plan to Relate  Pollutant
                   Sources to Acidic  Deposition:
                   A  Preliminary  Study of
                   Uncertainties
                   D. A. Stewart, J. E. Langstaff, G. E. Moore, S. M. Greenfield, M. K. Liu,
                   D. J. McNaughton, N. E. Bowne, R. Kaleel, and M. K. Anderson
                     An experimental program was de-
                   signed  to  empirically  relate acidic
                   deposition  to  precursor  emissions.
                   Several technical issues requiring fur-
                   ther study  prior to field experiments
                   were raised. Preliminary estimates of
                   uncertainty were made in order to
                   assess confidence in the experimental
                   design.  The five general areas studied
                   included uncertainties in measurements,
                   local scale data analyses, regional scale
                   data analyses, model simulations and
                   data analyses for regional experiments.
                     Measurement uncertainties are large
                   compared to deposition losses for gases
                   on the local scale. On a regional scale,
                   the existing ambient sulfate measure-
                   ment network has a resolution of order
                   500 km which is adequate, but char-
                   acteristic spacing of SO2 patterns re-
                   quires resolution of less than 100 km.
                   Model  simulations indicated the  fre-
                   quency  of  tracer detectability  at a
                   receptor from a specific source was
                   small and limited by meteorology. Also,
                   the frequency of detectability is depen-
                   dent on source strength. Local source
                   modulations were modeled and attain-
                   able modulation signals were found to
                   be of insufficient magnitude to be
                   detected over background concentra-
                   tions when measurement uncertainties
                   were considered. RjMUta from  these
                   analyses of the effect* of uncertainty
                   were considered hi th*!ftn*l experi-
                   mental design.
  This Project summary was developed
by  EPA's Atmospheric  Sciences
Research  Laboratory,  Research
Triangle Park,  NC, to announce key
findings of the  research project that is
fully documented in a separate report
of the same title (see Project Report
ordering information at back).

Introduction
  The Atmospheric Sciences Research
Laboratory of U.S. Environmental Protec-
tion Agency funded a program to design
an experimentally based study to provide
empirical relationships relating acidic
deposition in ecologically sensitive areas
to sources  of precursor emissions. In
addition, the experiments are to provide a
data base for evaluation of regional acidic
deposition models. The program has been
named the comprehensive experiment or
COMPEX and the design plan is presented
in a companion report entitled, "Com-
prehensive Experimental Design Plan to
Relate Pollutant Sources to Acidic Deposi-
tion." In the course of designing the
program, several questions arose  on
technical issues requiring further study
prior to conducting the experiments. This
report describes preliminary studies per-
formed to clarify these issues and increase
the confidence in success of the COMPEX
plan. Studies are divided into five general
areas: 1) summary of measurement un-
certainties, 2) local scale data analyses,
3) regional scale data analyses, 4) model

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simulations, and 5) data analyses from
the regional experiments.

Measurement Uncertainties
  A primary consideration in COMPEX is
the ability  to design a  program which
would provide empirical source/receptor
relationships within reasonable uncer-
tainty levels. The first component of the
uncertainty studies is a review of uncer-
tainties associated with measurement
techniques required  in the  design.
COMPEX requires new experimental
techniques or new applications of pre-
viously used techniques. The report sum-
marizes  information  on uncertainties
associated with systems to be used in the
study with  the  exception of PMCP per-
fluorocarbon tracer measurements pro-
posed for  use. Feasibility  experiments
proposed in the COMPEX design include
studies of this tracer. .

Local Scale Analysis
Uncertainties
  The second element of the uncertainty
studies involved examination of local scale
data to better understand the temporal
and spatial characteristics of concentra-
tions and the relationships among pol-
lutants and tracers. The study analyzed
data from the Electric  Power Research
Institute's (EPRI) Plume Model Validation
and Development (PMV+D) experiments
within 20 km of the Kincaid power plant.
Results can be summarized as follows:
• Within local scale distances « km),
   ambient concentrations of sulfur  di-
   oxide,  oxides of nitrogen,  and  inert
   tracers are strongly related when there
   is  no  interference from  background.
   Ambient concentrations respond to
   variations in emission rates.
• Close agreement of concentration data
   among pollutants and tracers indicates
   that depositional losses within 20  km
   of sources are  negligible and within
   the measurement uncertainty.
• Uncertainty in experimental measure-
   ments is large.
   Primarily, the results indicate the dif-
ficulty in detecting deposition effects over
short distances and the  need,  when
simulating  sources, to  match the tracer
release rates to the actual source emis-
sions rates.

Regional Scale Analysis
Uncertainties
   Ambient concentration data are avail-
able on a  regional scale from the EPRI
Sulfate Regional Experiment (SURE) and
the data provides a data base for studying
concentration relationships on a regional
scale. The primary product of the regional
data analysis is an evaluation of the scale
of the spatial concentration patterns and
the required resolution for sampling in a
program  such as COMPEX. The spatial
resolution of the ambient sulfate concen-
trations is of the order of 500 km which
indicates the adequacy of both the SURE
network  and  the proposed  COMPEX
monitoring  grid.  SURE data were not of
adequate resolution  to determine the
characteristic spacing of the SO2 patterns.
Data indicate that the scale of patterns is
less than 100 km. The SURE data analysis
also allowed an estimate of the  uncer-
tainties in  representing spatial concen-
trations with  mean  values  from point
measurements. The analysis provided a
means of studying the errors involved
with spatial averaging but also indicated
difficulties  in  detecting concentrations
changes resulting from  local  source
modulation experiments.


Model Simulations
  Numerous uncertainty questions were
studied using regional model simulations.
First,  relative  to the long range tracer
experiments, the simulations indicated
that point source releases of tracers in
transport studies did  not adequately de-
scribe  the resultant tracer or emissions
distributions from large emission areas.
In addition, the simulations  suggested
tracer release rates which are adequate
to  assure  detection   at  large source/
receptor  separation distances. The fre-
quency of detectability was analyzed as a
function  of these rates and multiples of
concentration over background levels. The
frequency of detectability or the frequency
of source receptor interactions is in gen-
eral small  and limited by meteorology.
The frequency is reduced when emission
levels  for the tracers are reduced. The
rate of reduction is larger for tracer re-
leases which are intermittent rather than
continuous.
  Small scale simulations were performed
to evaluate the feasibility of local  source
modulation and deposition experiments.
Results indicated that planned emissions
modulation may not be  of sufficient
magnitude to be detected over background
concentrations.  Supplementary results
indicate that the time series analyses of
the modulation patterns may likewise be
insufficient  to  provide a  detectable
modulation  signal over temporal cycles
in the concentration data. Model simula-
tions relative  to source depletion and
mass balance techniques for estimation
of dry deposition rates may also be
hampered by problems with the detec-
tability of deposition losses over local to
mesoscale distances.

Data Analysis from
Regional Experiments
  Analyses  of  data  from other  more
specialized experimental programs were
performed  to evaluate  aspects of the
COMPEX design.  Limited data available
for analysis from  the  CAPTEX program
was  used to evaluate the feasibility of
using ground level tracer concentration
data to estimate trajectories for the trans-
mittance  approach described  in the
COMPEX plan.  The CAPTEX tracer data
indicated that the tracer data could be
used to provide  trajectory information
using a sampler network with the resolu-
tion of that proposed  for the COMPEX
experiments.
  Data from the SURE program and the
MAP3S precipitation chemistry program
were  analyzed  to examine the  repre-
sentativeness of a one  year experimental
program in generating  empirical source/
receptor  relationships and  potential
categories for use in statistical analyses.
The data suggest that the use of a single
year period for an empirical analysis may
not be satisfactory. Meteorological cate-
gorization  schemes require additional
study and need to  consider broad classes
of data to provide adequate sample sizes.
Data collection activities in the COMPEX
program  require  both  modifications to
increase the statistical data base and to
relate the program to previous data col-
lection efforts.
  The last element of the uncertainty
analysis is an analysis of data from the
ACURATE experimental program to deter-
mine the frequency of source/receptor
interactions. ACURATE examined the
long-range transport of krypton-85  re-
leases  over a  one  and  one  half year
period. The data show a surprisingly small
frequency of interaction between a point
release and single receptors.  The rela-
tionship decreases with distance which
emphasizes the need for program modifi-
cations to increase the sample size of the
COMPEX data base.

Conclusions
  The uncertainty studies were performed
in parallel  with  modifications of the
COMPEX  plan. Numerous  suggestions
from the studies were incorporated in the
plan,  particularly  in  the areas of dis-
tributed tracer  releases, release  rates,
release configuration, and  sampling
resolution.

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  Some of the studies undertaken  in
support of the preliminary plan my in-
corporate assumptions  which  differ
slightly from  those  of the final experi-
mental plan but the general results still
provide a valuable contribution in deter-
mining feasibility and expected results of
the experiments.
  D. A.  Stewart. J. E. Langstaff. G. f.  Moore, S. M. Greenfield,  and M. K.  Liu
    are with Systems Applications, Inc., San Rafael, CA 94903; D. J. McNaughton,
    N. E.  Bowne,  R. Kaleel, and M. K. Anderson are with TRC  Environmental
    Consultants, Inc.. East Hartford, CT06108.
  Francis Pooler. Jr., is the EPA Project Officer (see below).
  The complete report, entitled "Comprehensive Field Study Plan  to  Relate
    Pollutant Sources to Acidic Deposition: A Preliminary Study of Uncertainties,"
    (Order No.  PB 87-140 943/AS; Cost: $24.95.  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:
          Atmospheric Sciences Research Laboratory
          U.S. Environmental Protection Agency
          Research Triangle Park, NC 27711

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