600/A^93/167


For presentation at the AWMA/EPA International Symposium,  "Measurement
of Toxic and Related Air Pollutants", May 3-7, 1993, Durham NC.


            SOURCE APPORTIONMENT OF FINE PARTICLE ORGANICS
                AND MUTAGENICITY IN WINTERTIME ROANOKE


                Charles W. Lewis and Roy B. Zweidinger
                 U.S. Environmental Protection Agency
        Atmospheric Research and Exposure Assessment Laboratory
                   Research Triangle Park, NC 27711

                           Larry D. Claxton
                 U.S. Environmental Protection Agency
                  Health Effects Research Laboratory
                   Research Triangle Park, NC 27711

                          Donna B.  Klinedinst
            National Institute of Standards and Technology
                        Gaithersburg, MD 20899

                            Sarah H.  Warren
               Environmental Health Research and  Testing
                   Research Triangle Park, NC 27709


ABSTRACT
     During the 1988-1989 winter the U.S. EPA conducted a
comprehensive field study in Roanoke VA as part of its Integrated Air
Cancer Project (IACP).  This paper presents results of the source
apportionment of fine particle extractable organic matter  (EOM) and
its associated mutagenicity (Salmonella typhimurium TA98 +S9 and
TA98 -S9).  The source apportionment methodology is based on multiple
linear regression  (MLR)  using a variety of tracer species: 14C,
metallic elements and volatile hydrocarbons (VHC) whose ambient
concentrations were measured simultaneously with the EOM and
mutagenicity.  The results are  compared with those from previous IACP
studies in other locales.

INTRODUCTION
       As part of the IACP the U.S. Environmental Protection Agency
has conducted a series of wintertime field studies in U.S. cities to
measure ambient concentrations of fine particle EOM and associated
mutagenicity.  Receptor modeling has been employed with these
measurements to determine the quantitative contributions of various
emissions sources to both EOM and mutagenicity.   The present work
gives receptor modeling results for the 1988-1989 field study in
Roanoke VA, an airshed whose principal sources of ambient EOM were
anticipated to be woodsmoke, mobile sources and residential distillate
oil combustion (RDOC).

EXPERIMENTAL
     Overviews of the Roanoke ambient field sampling program have been
given1'2.  The results that follow are from analyses of 12-h fine
particle (0 - 2.5 jim dia) and VHC samples collected simultaneously at
the two primary sites — Morningside Park (residential site)  and Civic

-------
Center  (roadway site).  The analyses followed previous  IACP procedures
and generated an ambient data set of the following parameters:
elemental composition of fine aerosol from x-ray  fluorescence  (XRF)3;
fine EOM from dichloromethane Soxhlet extraction3; TA98 +S9 and TA98 -
S9 mutagenicities of the EOM from plate incorporation bioassays3; 14C
content of the EOM from accelerator mass spectrometry4;  and VHCs from
gas chromatography-flame ionization detection5.

MLR RECEPTOR MODELING
     The same MLR modeling approach was used as in earlier IACP  work.
The measured concentration of the pollutant of interest  (i.e,  EOM or
mutagenicity) is represented by a sum of individual source
contribution terms, with each term being the product of  the measured
concentration of a tracer species for that source and an initially
unknown coefficient that is subsequently determined by  an MLR
calculation.  A  non-zero intercept is allowed for, which can  be
regarded as the average contribution of additional sources not
represented in one of the explicitly identified source  terms.

     In previous IACP work the concentration of fine-particle  Pb was
used as a mobile-source tracer.  In recent years, however, this  has
become less tenable, because of the phaseout of leaded gasoline.
During the preceding IACP study in Boise -- while Pb was still a
satisfactory tracer — the use of any one of several VHC species as
tracers was shown to give estimates for the mobile source contribution
which were virtually identical to those produced with Pb6.   For the
Roanoke data however the VHC species were clearly superior to  Pb, as
judged from the quality of the MLR fits that could be achieved
(largest r2  value).   The  unimpressive  Pb-Br  correlation  (r2 = 0.65)
exhibited by the Roanoke data also suggested that Pb was not a
reliable mobile source tracer.  Consequently, the VHC species  2-
methylhexane (2MeHx) was used instead of Pb in the present work, as  it
produced a slightly better MLR fit than the other VHCs.

     Fine particle soil-corrected potassium (K1) has proven to be very
useful as a woodsmoke tracer in previous IACP work.  In  the planning
stage of the Roanoke project, it was conjectured that K1  might serve
as a tracer of overall residential heating.  This was because  RDOC as
well as wood combustion were anticipated to be important contributors
to ambient EOM concentrations, and the expected similar  diurnal
emission patterns of these two source categories would frustrate their
separate estimations by an MLR technique.   As shown below however
RDOC was so small in comparison to wood combustion that  K1 retained
the same role for Roanoke as it had in previous IACP work.  Ondov et
al.7 report  a similarly small  estimate of the  RDOC contribution,
through use of an enriched isotope of samarium as an intentional
tracer.

RESULTS

Modeling
     Multiple linear regression of the measured concentrations of EOM
(/ug m"3)  and  R^  and  R^. mutagenicities (revertants m"3) resulted in the
following equations:

[EOM];  = (40 ± 3)[K']i +   (  656  ±  83  )[2MeHx]i  -  0.3 ±  0.7        (1)

    r2   =0.92,  n =  40;

-------
[1*98+h  =  (32 ± 6)[K']j  +  (1960 ± 140)[2MeHx]i  +  2.6 ± 1.1        (2)

        =0.92,   n = 37;

       =  (21 ± 4)[K']i  +  (1100 ± 130)[2MeHx]j  +  4.2 ± 0.9        (3)

    r2   =0.86,   n=38.

The units of the tracer  concentrations  [K1]  and  [2MeHx]  are ^g m"3  and
ppmC, respectively, and

[K1] = [K] - (0.22 ±  0.01)[Fe].                                    (4)

The numerical coefficient in equation 4  is the average potassium-to-
iron ratio measured in  the coarse-particle  (2.5  -  10  ^im  dia)  fraction,
as done previously3.

     The cases used in  each of  the three fits were approximately
equally divided between  the Civic Center and Morningside Park sampling
sites,  and between day  and night.  The quality of the fits,  as judged
by the r2  values,  were similar  to or  better than those achieved  in the
three earlier IACP studies, each  of which involved approximately the
same number of cases  as  in the  present study.

     Table I shows the  average  source contributions to the  measured
concentrations of EOM and mutagenicity, averaged over both  sampling
sites as well as day  and night.   The source  contributions   were
calculated by inserting  the averages of the  measured  values of [K1]
and [2MeHx] into equations 1-3.  Table I also  gives the calculated
mutagenic potency of  the EOM associated with each source.   The source
potency (revertants (/xg  EOM)"1)   is simply the ratio of the R to EOM
regression coefficient  for that source.  For comparison  Table I also
includes corresponding  results  from the three earlier studies (Boise,
Albuquerque and Raleigh).  The  latter results are from Lewis et al.3,
which gives references to the original work.  It is important to note
that the source potency values  listed in Table I are  derived entirely
from ambient measurements.

Validation by 14C
     Since 14C is absent  from fossil fuels, its presence  in  fine
particle atmospheric  samples is a direct (non-statistical)  indication
of the contribution of contemporary carbon sources, assumed to be
essentially only residential woodburning in  the wintertime  Roanoke
airshed.  The 14C-derived estimate of woodsmoke EOM concentration in a
sample i is given by

               [Woodsmoke EOM];  = [EOM]; (fRWC)i                     (5)

with fRWc being the fraction of  residential wood  combustion  carbon  in
the sample.  On the other hand  the term in equation 1 involving [K'];
is an independent statistical estimate of the same quantity.   Thus the
right side of equation 5 and [K1], should be  linearly  related,  with a
slope that is the same as the regression coefficient  for [K1]  in
equation 1, and with  no  intercept.  Figure 1 shows [EOM];* (fRWC) j values
for all available data  (n = 20) recommended  for use by Klinedinst  et
al4, plotted vs  [K1].   The  straight line in  the  figure is the product
of [K1] and its regression coefficient from  equation  1,  with the
dotted band representing the coefficient's uncertainty.

-------
     For the most part the points in Figure 1 cluster around the line,
showing that the potassium-traced portion of EOM is wood combustion-
related, and indicating by inference that the RDOC portion must be
small in comparison.  This conclusion is also supported by a Roanoke
TSP emissions inventory specific to the 1988-1989 wintertime period of
the IACP field study which indicates an RDOC emissions rate that is
only a few percent of that for wood combustion8.

CONCLUSIONS
     The Roanoke results presented in this paper together with
corresponding results from the previous IACP studies (Table I) show
some very clear consistencies across four geographically scattered
U.S. airsheds: (1) ambient EOM is dominated by woodsmoke, rather than
mobile sources emissions, for these wintertime studies;  (2) the
mutagenic potency (Salmonella typhimurium TA98 +S9) of ambient
woodsmoke is approximately 1 revertant per microgram of EOM;  (3) the
mutagenic potency of ambient mobile source emissions is about three
times that of woodsmoke.  These consistencies span a period of four
years, and depend neither on the type of wood used nor on the choice
of a mobile source tracer (particulate Pb or volatile hydrocarbons).
The use of I4C measurements have served to confirm the MLR-based
apportionment of EOM.

     The woodsmoke domination of EOM may not be surprising for
Albuquerque and Raleigh, since the sampling site for both was in a
residential neighborhood.  For Boise and Roanoke however the results
come from the combining of measurements at both residential and
roadway sites, and woodsmoke still dominates EOM overall.  The choice
of sampling site locations within the cities presumably had little
effect on the potency values that were obtained.

     The Roanoke results for TA -98 mutagenicity and potency are the
first known ambient-derived values for these parameters.

ACKNOWLEDGEMENTS
     We thank Alan Hoffman for his supervision of the Roanoke field
study, Bob Kellogg for XRF analyses and Gwen Belk for EOM analyses.

DISCLAIMER
     The information in this document has been funded wholly or in
part by the United States Environmental Protection Agency.  It has
been subjected to Agency review and approved for publication.  Mention
of trade names or commercial products does not constitute endorsement
or recommendation for use.

REFERENCES
1. V.R.  Highsmith, A.J.  Hoffman,  R.B. Zweidinger et al., "The IACP:
Overview of the Boise, Idaho, and the Roanoke, Virginia, field
studies," in Proceedings of the 84th Annual Meeting of A&WMA, paper
91-131.1, 1991.

2. R.K.  Stevens,  A.J. Hoffman, J.D.  Baugh et al.,  "Air quality
measurement in Roanoke,  VA in support of the 1988-1989 Integrated Air
Cancer Project," these proceedings,  1993.

3. C.W.  Lewis, R.K.  Stevens,  R.B.  Zweidinger et al.,  "Source
apportionment of mutagenic activity of fine particle organics in
Boise, Idaho," in Proceedings of the 84th Annual Meeting of A&WMA,
paper 91-131.3,  1991.

-------
4. D.B. Klinedinst, G.A. Klouda, L.A. Currie,  "Radiocarbon
measurements of extractable organic matter from the Integrated Air
Cancer Project Study in Roanoke, VA," these proceedings,  1993.

5. R.B. Zweidinger, T.E. Kleindienst and E. Hudgens,  "Apportionment  of
residential indoor VOCs and aldehydes to indoor and outdoor  sources  in
Roanoke," in Proceedings of the 84th Annual Meeting of &&WMA, paper
91-131.10, 1991.

6. R.B. Zweidinger, R.K. Stevens, C.W. Lewis and H. Westburg,
"Identification of volatile hydrocarbons as mobile source tracers for
fine-particle organics," Environ. Sci, Technol. 24(4):538 1990.

7. J.M. Ondov, Z.C. Lin, W.R. Kelly et al., "Enriched stable isotopes
of Sm as intentional tracers of diesel and residential oil furnace
emissions in Roanoke, VA," these proceedings,  1993.

8. TRC Environmental Corporation, "IACP Source Inventory  for Roanoke,1'
Contract No. 68-D9-0173, Work Assignment No. 2/236, 1993.
                            0.2       0.3      0.4
                            Soil-Corrected K, ug/m3
0.5
0.6
Figure 1.   14C-determined extractable organic matter vs soil-corrected
potassium.  The straight line and its uncertainty band is given by
(40 ±3)  [K1], from equation 1.

-------
TABLE I  Average ambient concentrations  (EOM, TA98 +S9, and TA98 -S9)
and mutagenic potencies attributed to woodsmoke and mobile sources  in
four U.S. cities during wintertime.  The apparent relative importance
of the sources depends on the the location of sampling sites within
each city and season, and are not necessarily representative of annual
city-wide ratios.  Non-Roanoke results are from Ref. 3.
Woodsmoke
Roanoke VA (1988-89)
n = 37 - 40
EOM Conc'n1
RJJ+ Conc'nb
R,8+ Potency0
Rjg. Cone ' nb
Rgg. Potency0
Boise ID (1986-87)d
n = 40
EOM Conc'n'
R,8+ Cone ' nb
R,8+ Potency0
d
8.1
5.9
0.80
4.5
0.53

14
12
0.84

± 0.6
±1.1
± .16
± 0.9
± .11

± 2
± 3
± .25
Mobile Intercept
Sources

4.0
10
3.0
5.8
1.7

6
18
3.0

± 0.5 -.3 ± .7
± 1 2.6+1.1
± 0.4 	
± 0.7 4.2 ± 0.9
±0.3 	
•
±2 2 + 2
±3 3 ± 4
±1.1
Meas.
Total

12
19
	
15
	

22
32
	
Albuquerque NM ( 1984-85) e
n = 44
EOM Conc'n"
R98+ Conc'nb
R,8+ Potency0
Raleigh NC (1984-85)
n = 40
EOM Conc'n"
R98+ Conc'nb
R98+ Potency0
15
19
1.3
e
16
12
0.78
± 1
± 2
± .2

± .5
± 1
± .07
3
11
3.7

1
4
3.7
±1 1 ± 1
±3 3 + 3
±1.5 	

± .3 0.1 + 1
± 1 1 + 1
+ 1.5 	
19
32
	

17
18
	
'  Mg  / m3
b  revertants  /  m3
c  revertants  /  jzg  EOM
d  residential and  roadway site
e  residential site only

-------
                              TECHNICAL  REPORT DATA
1. REPORT NO.

 EPA/600/A-93/167
4- TITLE AND SUBTITLE

SOURCE APPORTIONMENT OF FINE PARTICLE ORGANICS AND
MOTAGENICITY IN WINTERTIME ROANOKE
           5.REPORT DATE
                                                         6.PERFORMING ORGANIZATION CODE
7. AUTHORCS)
Charles W.  Lewis,  Roy B. Zweidinger, Larry D.
Claxton, Donna B.  Klinedinst and Sarah H.  Warren
           8.PERFORMING ORGANIZATION REPORT
           NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS

Atmos. Res.  and Exp.  Assess. Lab and Health Effects
Res. Lab,  U.S.  Environmental Protection Agency,
Research Triangle Park,  NC 27711; National  Institute
of Standards and Technology, Gaithersburg MD 20899;
Environmental Health Research and Testing,  Research
Triangle Park,  NC 27709	
           iO.PROGRAM ELEMENT NO.

           A101/C/90/01
           11. CONTRACT/GRANT NO.

           In-house
12. SPONSORING AGENCY NAME AND ADDRESS

Atmospheric Research and Exposure Assessment
Laboratory
Office of Research and Development
U.S. Environmental Protection Agency
Research Triangle Park,  NC 27711	
           13 .TYPE OF REPORT AND PERIOD COVERED

           Symposium paper
           14. SPONSORING AGENCY CODE

           EPA/600/09
15. SUPPLEMENTARY NOTES

To be published in the Proceedings of the AWMA/EPA Symposium, "Measurement  of  Air
Toxic and Related Air Pollutants," May 3-7,1993,  Durham,  NC	

16. ABSTRACT

During the  1988-1989  winter the U.S. EPA conducted a comprehensive field  study in
Roanoke VA  as  part of its Integrated Air Cancer Project (IACP).  This paper
presents results of the source, apportionment of'fine particle extractable organic
matter  (EOM) and its  associated mutagenicity (Salmonella typhimurium TA 98  +S9 and
TA98 -S9).  The source apportionment methodology is based on multiple linear
regression  using a variety of tracer species:  HC,  metallic elements and volatile
hydrocarbons whose ambient concentrations were measured simultaneously with the EOM
and mutagenicity.   The results are compared  with those from previous IACP studies
in other locales.
17.
                             KEY WORDS AND DOCUMENT ANALYSIS
                 DESCRIPTORS
                                              b.IDENTIFIERS/OPEN ENDED
                                              TERMS
                          c.COSATI
18. DISTRIBUTION STATEMENT

RELEASE TO  PUBLIC
19. SECURITY CLASS (Tftw Report)

UNCLASSIFIED
21.NO, OF PAGES
    f
                                             20. SECURITY CLASS (This Page)

                                             UNCLASSIFIED
                                                                        22. PR1PF

-------