United States
                 Environmental Protection
                 Agency
Environmental Monitoring
Systems Laboratory
Research Triangle Park NC 27711
                 Research and Development
EPA-600/S4-84-088  Mar. 1985
EPA         Project  Summary
                Inhalable   Particulate
                Network  Report:  Operation  and
                Data  Summary (Mass
                Concentrations  Only)

                David 0. Hinton, Jose M. Sune, Jack C. Suggs, William F. Barnard
                  This report is intended to serve as an
                operations overview and data summary
                covering the operation  of  the  157
                Inhalable Participate (IP) Network sites
                within the United States. Volume  I
                discusses the scope of the Network and
                instrumentation utilized  in  the
                Network. Data (mass only) are traced
                from measurement through processing
                and  storage  to  routine reporting.
                Quality assurance practices are also
                given. Data summaries are  provided.
                Volume II is a list of individual data upon
                which Volume I is based.
                  Analyses, conclusions, and examples,
                either listed or indicated by reference,
                should provide the reader with  both
                suggested uses and possible limitations
                of the data. Chemical analysis of the
                collected particulate (sulfate, nitrate,
                and  selected  metals)  is  part  of  IP
                Network objectives but those data will
                be the subject of a separate report.
                  This Project Summary was developed
                by EPA's Environmental Monitoring
                Systems 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 1977 Clean Air Act  Amendment
                requires  a reappraisal of  the National
                Ambient Air Quality Standard for particu-
                late matter. In order to meet this require-
                ment, information regarding both Total
                Suspended Particulate (TSP) and smaller
                inhalable particles was required.
  EPA's Environmental Monitoring Sys-
tems  Laboratory  (EMSL),  Research
Triangle Park, NC,  in conjunction with
EPA's Office of Air Quality Planning and
Standards was given the responsibility of
providing ambient air data for the small
particle size range. The exact value for the
upper  limit, however,  was and still
remains, controversial. Therefore, data
from both the original 0-15 fjm samplers
and the subsequent 0-10 /urn samplers
are included. In 1977-78  when the
Inhalable Particulate (IP) Network was
being  planned,  the major  monitoring
emphasis  was  on  collection  devices
which could provide measurements of
ambient air concentrations attributed to
15 fjm (and smaller) particles and 2.5 (im
(and smaller) particles. Rpr these reasons
instruments using inlets  providing  a
single sample (15 fjm and smaller) and
dual samples (2.5 to 15 fjm and below 2.5
fjm) were evaluated and utilized. Both are
referred to as PM,6 to designate the upper
limit of 15 fjm.

Procedure
  In 1978,  the data from the Inhalable
Particulate Network were anticipated to
be used primarily to assist in a revision of
the existing Total Suspended Particulate
Standard. The revised standard was to be
based on the specific particle size range
of 15 fjm  mean  aerodynamic diameter
and below, and  to a lesser degree to
provide information on  the  possible
sources of the particles for subsequent
control  strategy implementation. To
accomplish this, establishment  of  a
nationwide network of 200 air monitoring

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sites  over a  three-year  period was
planned.   However,  due  to  resource
constraints, only 157 sites were  placed
on line.
    The   following  specific   Network
objectives  and  design criteria   were
provided  by the Office of Air Quality
Planning  and  Standards (OAQPS):  (a)
conduct a pilot program to demonstrate
that the  monitoring  technology was
adequate  to  proceed  with  the   study
(technology to make routine size-specific
aerosol measurements had only recently
become  commercially  available),  (b)
provide monitoring support to on-going
epidemiology studies wherever possible,
(c)  provide background data for non-
urban and rural sites, (d) monitor fugitive
dust locations, (e) select urban sites with
priorities primarily for population density
and non-attainment of the current TSP
standard,  (f) at  all sites,  measure the
mass concentration of TSP and IP, (g) at
selected  sites,  measure the fine and
coarse components of IP (i.e., PM15), and
(h)  provide  for  a  limited component
analysis scheme beyond mass concen-
tration to further characterize the data
base. Later, a final objective was added: (i)
incorporate  PM,0  technology into the
network for data collection intheO-10/^m
size range.
  OAQPS specified the candidate cities.
With OAQPS approval, EMSL and/or an
EMSL  contractor made the specific site
selection within the city, based on desired
site  classification  (Commercial,
Residential,  Industrial,  Rural, etc.) and
specific site availability.
  All of the objectives and constraints
were combined into a protocol of network
operations, which was prepared prior to
network  implementation. This protocol
included the various aspects of network
design and setup, sample  collection,
analyses,  quality  assurance,  mainte-
nance, and data processing and analyses.
All operations except the actual collection
of samples would  be  provided by EPA.
Manpower was to  be provided by State
and local agency personnel to implement
the operation of the sampling equipment.
Because   of  the   limited  manpower
available within EPA, contractor support
was also planned.  A Quality Assurance
program was planned and budgeted at 5-
10% of resources.
  Although each sampling site location
was physically  evaluated against the
siting  criteria  given  in the  Inhalable
Paniculate  Network  Operations  and
Quality Assurance Manual, March, 1983,
administratively  the  selection process
was quite variable. Land owner permis-
sion, local agency approval, Regional
Office concurrence, OAQPS recommend-
ations/concurrence all had to occur in
order  for  a  specific  site to begin  and
continue sample/data   collection.
Further, since more than 1,000 people
were eventually involved directly in the
data   gathering   activities,  their
performance,  interest, and  assistance
directly affected the amount and quality
of data collected. In spite of the diverse
demands  on  time,   personnel   and
resources,   EMSL   received  excellent
cooperation   from   local.   State,   and
Regional  personnel.  This  cooperation
resulted  in  data   collection from  525
sampler-years from 1 57 sites.

  All sites provide routine TSP data from
a Hi-Volume sampler and PM,5 data from
either a Size Selective Sampler (SSS) or
Dichotomous  Sampler.  In  addition to
routine  sampling  requirements,  EMSL
utilized selected sites for intercompari-
son of instruments. At various times a
given  site became  one or more of the
following:

  1. Comparison Site: In addition to the
    instrument complement of a PM15
    and  a   TSP  Hi-Vol   for  routine
    sampling, some of the initial sites
    were provided with additional PM15
    instruments.   These special  sites
    provided  data  for  comparison of
    SS S - to - D i ch ot o m o u s, etc.
    Eventually 128 sites had both SSS
    and Dichotomous 15 instruments.

  2. Collocated Site: A  site containing
    duplicate instruments of the same
    type  and usually  by  the  same
    manufacturer.  Duplicates  include
    Dichotomous PM15 to Dichotomous
    PM15, TSP-to-TSP, SSS,5-to-SSS15,
    Dichotomous PM10to Dichotomous
    PM10. Twelve sites were utilized for
    collocated data collection

  3. Key  Site: An  existing PM,5  site
    which was augmented with a PM10
    monitor. The objective for a key site
    is to provide data for both PM16 and
    PM10. Nine sites were designated as
    key sites.

  In early 1978, when the IP Network
was being planned, a recently developed
dichotomous sampler was available and
was incorporated into the network. This
sampler  provided   two  particle   size
fractions. The larger size fraction (Coarse)
included  particles  from 2.5 to 15 fjm
mean aerodynamic diameter. The smaller
size  fraction  (Fine)  included  particles
below 2.5 /ym. When added together, the
Fine and Coarse fractions give a "Total"
inhalable concentration in the 0-15 ^m
range (PM15). While the small fraction,
"Fine," is not a requirement for defining
an Inhalable Paniculate Standard perse,
it is useful in  determining the origin  of
particulates.
  The dichotomous  sampler  was
therefore  selected as  the initial  PM15
sampler because of availability and dual
size range  fractions.  It  was  (and   is)
suitable for  providing IP concentrations
and, when paired with  the standard Hi-
Vol,  IP/TSP   relationships  can  be
developed. The dichotomous sampler is
more complex than the Hi-Vol and the
two sample  fractions (Coarse and Fine)
require  twice  the  sample  handling,
weighing, calculation, etc., as the Hi-Vol.
Alternate samplers were therefore inves-
tigated.  One PM15 sampler, The  Size-
Selective Sampler (SSS), was developed
as a modification to a standard Hi-Vol and
tested at 50 of the first field sites. This
modified Hi-Vol sampler is identical to the
TSP Hi-Vol except  that  the gable roof is
replaced with a special mono-cut sampler
offering ease of operation, single sample,
large sample size, and associated cost
savings.  For  TSP,  the   High-Volume
sampler was used. Later a dichotomous
sampler modified to  cut at 10 /jm was
added.

Results and  Discussion
  The IP data base  includes 12, 385 TSP
Hi-Vol; 7,363 Size-Selective Inlet (SSS)
Hi-Vol;  and  11,056 Dichotomous
Sampler  24-hour  measurements,
collected on an every-sixth-day schedule.
Table 1 is a list of site locations. Volume I
of the report is a summary of mass data
collected. Volume II is a listing of individ-
ual  24-hour   mass  concentrations.
Chemical analysis is not a subject of this
report. Because of an initial emphasis on
sites in the Philadelphia area to support
other projects,  a large percentage of the
total data collection is from this  area.
Because  of  staggered  sampler set  up
schedules and/or sampler downtime,
TSP, SSS,  and  Dichotomous  samplers
were not always operated simultaneously.
Therefore, care must  be  taken when
comparing means  of different sampler
types. The number of samples,  means,
standard deviation, minimum, maximum,
start date, and stop dates, are given  in the
main report.
  Precision  estimates  were  made   by
comparing   duplicate,  collocated like
instruments.   Like  instruments are
defined  as  similar   instruments,   or
dissimilar instruments designed to do the
same thing.  Instruments were collocated

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Table 1.    Inhalable Paniculate Network Site Locations
                                                        standard. A close approximation to equa-
                                                        tion (1) is:
  Region   State
Number
of Sites  Location
     4     Alabama              7     S. Birmingham, N. Birmingham. Inglenook,
                                      Huffman, Mobile, Mtn. Brook. Tarrant
     10     Alaska                1     Anchorage
     9     Arizona               3     Carefree, Phoenix, N. Phoenix
     6     Arkansas               1     Little flock
     9     California              15     Azusa, Bakersfield, Chico, San Diego, Fresno, Five
                                      Points, Livermore (2), Lompoc, W. Los Angeles,
                                      Pasadena, Richmond, Rubidoux, San Francisco,
                                      San Jose
     8     Colorado              5     Denver (3), Pueblo, Ft. Collins
     1     Connecticut           2     Hartford, Morris Dam
     3     Delaware              2     Dover, Wilmington
     3     D.C.                  2     Washington (2)
     4     Florida                 1     Tampa
     4     Georgia               3     Atlanta (2), Savannah
     9     Hawaii                 1     Pearl City
     W     Idaho                  1     Boise
     5     Illinois                4     Chicago f4)
     5     Indiana               3     Gary, Indianapolis, Jeffersonville
     7     Iowa                 2     Marshal/town (2)
     7     Kansas               3     Kansas City, Topeka, Wichita
     4     Kentucky              2     Ashland, Louisville
     1     Maine                 1     Acadia
     3     Mary/and              5     Baltimore (3). Rockville (2)
     1     Massachusetts         4     Boston (2), Springfield, Worcester
     5     Michigan               7     Detroit (2), Duluth, International Falls. Minneapolis
                                      (21 St, Paul
     4     Mississippi             1     Jackson
     7     Missouri              3     St. Louis, Kansas City, E. St. Louis
     8     Montana              2     Butte, Missoula
     7     Nebraska               1     Omaha
     9     Nevada               2     Reno, Winnemucca
     2     New Jersey           3     Camden. Livingston. Jersey City
     6     New Mexico           2     Albuquerque, Bayard
     2     New York               7     Buffalo (2), Angola. Buffalo, NYC (3)
     4     North Carolina         4     Charlotte, Durham, Res. Tri. Park 12)
     5     Ohio                 12     Akron, Cincinnati.  Cleveland(3), Columbus, Dayton,
                                      Ironton, Medina, Middletown,
                                      Steubenville, Youngstown
     6     Oklahoma              1     Oklahoma City
     10     Oregon               3     Sauvie Island, Eugene, Portland
     3     Pennsylvania          15     Bethlehem, Philadelphia (9), Pittsburgh (5)
     1     Rhode Island           1     Providence
     4     South Carolina          1     Charleston
     4     Tennessee            2     Chattanooga. Nashville
     6     Texas                 6     Dallas, El Paso (2), Houston (3)
     8     Utah                 2     Magna, Salt Lake  City
     3     Virginia               6     Arlington, Hampton, Hopewell, Norfolk, Fairfax,
                                      Richmond
     10     Washington           3     Seattle 12). Spokane
     3     West Virginia          3     Charleston. Weirton, Wheeling
     5     Wisconsin             2     Beloit, Green Bay
                Total           157
at selected sites and duplicate samples
were taken.
  In the report, both bias and precision
are  addressed  using   formulas  for
summarizing paired data. The formulas
are the "percent difference" ratio type
commonly  applied   to  collocated  air
pollution data.
  When one compares actual measure-
ments  to a reference value or standard,
             the signed value of the percent difference
             is normally represented by:
             Percent Difference =
             Measurement-Reference
                    Reference
X 100
           (D
                  Percent Difference =
                  Measurement 1  - Measurement 2
                   Average of the 2 measurements
                                                                                           (2)
                                                                                        X 100
                                                           If y,  =  measurement  1, and  y2 =
                                                        measurement 2,  equation 2  may  be
                                                        rewritten as:

                                                                              Vi - V2
               When comparing two field instruments,
             however, neither instrument is, in fact, a
                                                          Percent Difference = y,  + y2 X 100
The  results of solving this equation for
each pair of collocated sample measure-
ments is  the  signed percent difference,
R (CV/ A/~2 ). For analysis each resultant
(the  signed percent  difference  R)  was
treated  as  a statistical  sample.  The
hypothesis  tested  is that  the  average
difference (i.e., the relative bias) is  zero
over each data set.
  Data processing consists of:

  1.  Calculating  the signed  difference
     expressed as a percent (R explained
     previously) for each data-pair collec-
     ted at each site (i.e.. Coarse Fraction
     Dichot   Mass  collected  in
     Birmingham, Alabama).

  2.  Calculating  % Standard Deviation
     for each  measurement pair.

  3.  Applying the  Dixon  Ratio  to R for
     each data set to test for  outliers.

  4.  Removing outliers.

  5.  Calculating  the coefficient of varia-
     tion  where CV  (%)  =  Standard
     Deviation of R divided by V2  .

  6.  Testing  the Null  Hypothesis  that
     R=O using the t-Test at  a = .05.

  7. Testing  the homogeneity of
     variances by applying Bartlett's test
     to variance  of each mass measure-
     ment pair for each  pollutant  and
     measurement  method.  The  test
     showed  that  a pooled estimate of
     variance was  generally not possible
     although there were exceptions. It
     appears  that for all the Hi-Vol  data
     (TSP and 15 pm  SSI) as well as
     dichotomous data the variances are
     nonhomogeneous.

Conclusions
  Data from the EMSL,  RTP Inhalable
Paniculate Network are described in the

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   report. Individual values for TSP Hi-Vol;
   PM15 Dichotomous  Coarse, Fine,  and
   Total; and PM15 SSS mass are presented.
   Ratios of Dichotomous Total-to-TSP Hi-
   Vol,  and  SSS-to-TSP   Hi-Vol  are
   summarized for PM,5 mass. Similar data
   are presented for PMi0 sampling but on a
   smaller number of samples. (More PM,n
   samples will become available as PM,0
   sampling continues throughout 1984).
     Quality Control and Quality Assurance
   procedures and results are presented in
   the report and used to estimate sampling
   accuracy  by  examining  sample flow
   rate,  weighing  accuracy,  etc.  Overall
   sampling   accuracy  is   difficult  to
   determine  directly  because  the
   measurement requires the  production of
   accurately  known  concentrations  of
   paniculate  matter of a wide variety of
   sizes.
     Data   precision is  discussed  using
   paired  data obtained from collocated
   instrument sampling. The signed percent
   difference of the  two measurements
   (expressed as R) was obtained by dividing
   the difference between the data pair by
   the  average of the two measurements
   and multiplying by 100. Student'ststatis-
   tic was used to test the Null Hypothesis
   that R = 0 (i.e., that the relative bias is
   zero over each data set).
     The value of t was statistically signifi-
   cant at the 5% level for one or more sites
   within each sampling class (Hi-Vol, SSS,
   Dichoti5) meaning that the differences
   between paired instruments is probably
   real. Conversely,  at least one site within
   each class was not significant at the 5%
   level.   Overall   there  is  substantial
   variability but little bias across the entire
   collocated data set.
     The general contention that suspended
   particulates  are  a  complex  mixture of
        large and small particles, both naturally
        occurring and man made, is supported by
        the absence of a simple, consistent ratio
        of IP to TSP. If the IP were a simple frac-
        tion of TSP, a consistent ratio would be
        expected and estimates of IP from past
        TSP would have been possible. That this
        is not the case and that  IP is a complex
        fraction  of TSP is supported by the data
        presented in  the report.
         The authors do not infer  that for a
        specific  site,  a consistent ratio of IP-to-
        TSP  is  impossible.  If a  given site  is
        influenced by  particulates originating
from a specific source, then the inhalable
fraction may possibly be a consistent sub-
set of TSP.
  Certainly, at any given site, a ratio of IP-
to-TSP is mathematically possible,  but
the actual value isdependent upon which
(if any) outliers are identified as flawed
.and not  used  in the computations.
Further experience with the operation of
these samplers   and  with  the
interpretation of the resulting data will be
needed to resolve the questions raised
and to expand upon the conclusions that
can be drawn.
          D. Hinton (also the EPA Project Officer, see below). J. Sune, J. Suggs, and W.
            Barnard are  with Environmental Monitoring Systems Laboratory, U.S. Envi-
            ronmental Protect/on Agency, Research Triangle Park, NC 27711.
          The complete report consists of two volumes:
            "Inhalable Particu/ate Network Report: Operation and Data Summary (Mass
               Concentrations On/y)~Vol. I., April 1979 - December  1982." (Order No. PB
              85-148 682/AS; Cost: $19.00. subject to change).
            "Inhalable Particulate  Network Report: Data Listing (Mass  Concentrations
              Only)-Vol. II., AprH1979 - December 1982, "(OrderNo. PB85-148 690/AS;
              Cost: $34.00, subject to change).
          The above reports 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 Monitoring Systems Laboratory
                  U.S. Environmental Protection Agency
                  Research Triangle Park. NC 27711
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