United States      Office of Air Quality       EPA-450/4-83-002
            Environmental Protection  Planning and Standards      May 1981
            Agency        Research Triangle Park NC 27711
            __
v>EPA      Field  Study to
            Determine Spatial
            Variability Of Lead
            From Roadways

-------
                               EPA-450/4-83-002
Field  Study To Determine
   Spatial Variability Of
   Lead From  Roadways
                 by

           PEDCo Environmental, Inc.
            11499 Chester Road
            Cincinnati, Ohio 45246
           Contract No. 68023013
             Task Order No. 7
               PN 3366-G

        EPA Project Officer: Mr. David Lutz

               Prepared for

     U.S. ENVIRONMENTAL PROTECTION AGENCY
       Monitoring and Data Analysis Division
        Research Triangle Park, N.C. 27711

               May 1981

-------
                                  DISCLAIMER
     This report was written for the U.S. Environmental  Protection Agency
Monitoring and Data Analysis Division by PEDCo Environmental, Inc., Cin-
cinnati, under contract No. 68-02-3103, Task Order No. 7.   The contents of
this report are reproduced,herein as received from the contractor.  The
opinions, findings, and conclusions are those of the author and do not neces-
sarily reflect the views of EPA.  Mention of company or product names is not
to be considered as an endorsement by the author or the EPA.
                                      VI

-------
                                   CONTENTS

                                                                        Page

Figures                                                                  iv
Tables                                                                    v
Acknowledgment                                                           vi

1.   Introduction                                                         1

2.   Sampling Design                                                      2

     2.1  Site selection                                                  2
     2.2  Vehicle Density                                                 2
     2.3  Site characteristics                                            6
     2.4  Location of monitors                                            6
     2.5  Sampling procedures                                             9
     2.6  Laboratory procedure                                            9

3.   Results                                                             11

     3.1  Average total suspended particulates                           11
     3.2  Average lead concentrations                                    14
     3.3  Lead as a percentage of total suspended particulate            14
     3.4  Relative lead concentrations                                   20

4.   Conclusions                                                         22

References                                                               23

Appendix A     Laboratory Procedures                                     24

Appendix B     Analysis of Roadway Lead Data Using Analysis of
                Variance Techniques                                      28
                                     111

-------
                                     FIGURES

Number                                                                    Page

 2-1      Map of Route 562 Relative to 1-75 and 1-71                         3

 2-2      Schematic of Traffic Contributing to Route  562                    4

 2-3      Photograph of Sampling Location Showing Monitors Situated
           on Towers                                                        7

 2-4      Schematic of Sampling Locations                                   8

 3-1      Wind Rose Indicating Frequency of Hourly Average Direction       12

 3-2      Average 24-Hour Concentration of Total  Suspended
           Particulates at Various Elevations and Setback Distances        13

 3-3      Average 24-Hour Concentration of Lead at Various Elevations
           and Setback Distances                                           15

 3-4      Percentage of Lead in Total Particulate Samples at Various
           Elevations and Setback Distances                                19

 3-5      Average 24-Hour Concentration of Lead Obtained at the
           Ground Level Monitor Compared to Concentrations Obtained
           at Elevated Monitors                                            21

-------
                                    TABLES

Number                                                                  Page

 2-1      Typical Entrance and Exit Traffic Volume on Route 562
           Ramps                                                          5

 3-1      Total Suspended Particulate and Lead Concentrations at
           Three Heights and 2.8 Meters Setback from the Road            16

 3-2      Total Suspended Particulate and Lead Concentration at Three
           Heights and 7.1 Meters Setback from the Road                  17

 3-3      Total Suspended Particulate and Lead Concentration at
            Three Heights and 21.4 Meters Setback from the Road          18

-------
                               ACKNOWLEDGMENT

     This report was prepared by PEDCo Environmental,  Inc.,  for the U.S.
Environmental Protection Agency under Contract No.  68-02-3013.   Mr. David
Lutz was the Project Officer from the Monitoring and Data Analysis Division.
The PEDCo Project Director was Mr.  Charles Zimmer and  the Project Manager was
Mr. David Armentrout.  Mr. Anthony Wisbith was director of field monitoring
and Mr. Craig Caldwell was director of laboratory procedures.   The principal
author of the report was Mr. Douglas Orf.

-------
                                    SECTION 1
                                  INTRODUCTION

     The United States Environmental Protection Agency (U.S. EPA) promulgated
National Ambient Air Quality Standards (NAAQS) for lead on October 5, 1978.
Compliance with these standards is determined by measuring the concentrations
of lead in the ambient air.  In support of the measurement programs, the U.S.
EPA is promulgating regulations for selection of appropriate lead monitoring
sites.  The guidelines specify vertical distances and setback distances from
roadways for lead monitoring sites.
     The EPA requested PEDCo Environmental to perform a limited field moni-
toring study to determine horizontal and vertical lead distribution in the
area of expected maximum lead concentrations along roadways.  The intent was
to show relative distributions over specific distance ranges to provide
support for the monitor siting ranges specified in the regulations.  These
ranges are necessary in order to provide monitoring agencies with flexiblity
to consider practical factors such as availability of utilities, protection
of instruments from vandalism, etc. in monitor siting.  While inferences can
be drawn from existing studies of lead and total suspended particulate
                                2-7
distributions and relationships,    the previous studies do not address
adequately both horizontal and vertical lead concentration distributions
within the ranges specified in the guideline.  Since the study has a narrowly-
defined purpose, it was not designed to provide data for predictive models,
for explaining traffic volume and meteorological impact on lead concentra-
tions, for correlation with particle size data, or for similar applications
that would require more extensive sampling and experimental design.

-------
                                  SECTION 2
                               SAMPLING DESIGN

2.1  SITE SELECTION
     The following criteria were applied in locating an appropriate monitor-
ing site:  (1) an average daily vehicle volume of at least 40,000 vehicles,
(2) an average vehicle speed of at least 35 to 45 miles per hour, (3) rea-
sonable distance from any topographic obstructions to air flow,  and (4)
availability of utilities and security for equipment.  The site  selected for
the monitors was the parking area of an abandoned drive-in theatre on State
Route 562, also called the Norwood Lateral.  This roadway is the major
connecting route between Interstate 7E and Interstate 71  in the  Norwood area,
a few miles north of downtown Cincinnati, as shown in Figure 2-1.

2.2  VEHICLE DENSITY
     Information obtained from the City of Cincinnati Traffic Engineer's
Office indicates an average of 58,500 vehicles per day in the area of the
monitoring site.  Figure 2-2 indicates; contributions to the total traffic
volume at the various entrance and exit ramps; Table 2-1  shows a typical
hourly breakdown of traffic volume.  The table shows definite peak periods of
traffic during the hours of 3 to 5 p.m. and 7 to 8 a.m.
     Leaded gasoline is the primary contributor of lead emissions from motor
vehicle traffic.  The Ohio, Kentucky, Indiana Regional Council of Governments
indicated that 62 percent of the vehicle miles traveled in Hamilton County
(which encompasses the monitoring area) represent vehicles of model year 1975
or later.*
*
 Telephone communication with a representative of the Ohio, Kentucky, and
 Indiana Regional Council of Governments on May 19, 1980.

-------
    EJ LOCATION OF SITE
Figure 2-1.  Map of Route 562 relative to  1-75 and  1-71

-------
CM
VO
in
 3
 O
 O
-M

 cn
-Q
+J
 c
 O
 (J

 O
•r—
<4-
(*-
 re
4-
 o
 O
 (O
 O
oo
CM
 I
CM

 
-------
00
a.
cc.

C\J
UD
tn
O





O


UJ

«t_ -^"^
^)  (O


O  (B
X
UJ  S_
     a>
a  a.
     cu
UJ r—
     (U
CVJ
CO
                                                                                     r— CM CM *— *— CM
           CM CM CM ^" *T f> CM CM r~ •—• F~                    CM *t CM P— »» »

      O









CM^W   tn«n   ^•^•fnrocMCMCMr-*-               .— ro m m CM CM *

     c






   o ;

   CM  _	    _	  _  -_                    __    _
   r-. O.   »— f— CM CM CM CM p-                               CM ^ CM »

      O
     h-








-• —   CM CM   ^- \D ^- r- r— P— P—                      ^ CM CM •— ^ CM


























     .O







           C3 tfl	-

           fSiocoooCTt^^ro^cst^j-^-t^-f—   ~ p^«- J5 ^- eb v


     Li.




     LO

       I
   CM«—   COinCMCM^    	_.-_,.	.-,		_-

   SE   gg^2J^p^|P«^«u>rr!°"^-o^p*^«*ft®<'1    ^*

   *** P






















    _  .    CM O O\ r- CM rs. CM r«- O OO r- Ift »O in CM «*> CM l/> CM 00 CM O CJ» O
   O toi*   io ^o O cvj 
-------
This is significant because, beginning -in 1975,  most U.S.  manufactured light-
duty vehicles were designed to operate on lead-free fuel.   However, not all
vehicles traveling in Hamilton County are U.S.-manufactured or light-duty.
Some foreign-manufactured vehicles still burn leaded gasoline; moreover, some
heavy-duty vehicles burn leaded gasoline and others burn diesel fuel, which
is lead-free.  Also, some owners of newer cars may have altered their vehicles
so that they can burn the less expensive leaded fuel.
     The average speed of the vehicles on Route 562 was assumed to be greater
than 35 to 45 miles per hour (a study siting criterion), since the posted
speed limit on this section is 50 miles per hour.

2.3  SITE CHARACTERISTICS
     The abandoned theatre site is used as a holding area for newly manu-
factured General Motors automobiles (upwind of the monitoring site); for this
reason, the entire facility was secured by a fence with a locked gate.
Utilities were available on site for monitor operation.
     As shown in Figure 2-3, the site provides unobscured exposure to the
Route 562 traffic flow, with no topographical interruptions.
     Ten high-volume (Hi-Vol) ambient air samplers were operated at the site.
The samplers were placed at three elevations and three setback distances from
the roadway.  One Hi-Vol was used as a control.  The control was co-located
at the second setback distance and the middle elevation.
     Setback distances were measured from the north edge of the four-lane
divided road.  No attempt was made to measure Hi-Vol setback distances from
individual lanes.  The prevailing meteorology, together with the effects of
traffic volume and speed, were assumed to keep the particulates airborne such
that contributions from all four lanes could best be measured from the north
edge of Route 562.

2.4  LOCATION OF MONITORS
     Three towers, each with three tiers at 1.1, 6.3, and 10.5 meter heights
were constructed and oriented as shown  in Figure 2-4.  Each tier provided a
secure platform for at least one Hi-Vol sampler.  Tower No. 1 was located 2.8
meters from the road.  The third tier included instruments to measure wind

-------
OJ

o
c
o
o>
1/1
S-
o
o
C
o
ro
U
O

 O
4->
 O
JZ
D.
CO
 I
CM

 OJ
 s_
 3
 cn

-------
LEGEND



HEIGHT TO AIR  INTAKE:
  MONITOR NOS. 1,4,8 - 1.1 meters
  MONITOR NOS. 2,5,6,9 - 6.3 meters
  MONITOR NOS. 3,7,10 - 10.5 meters

	X	PENCE

i::   ...  ..... MEDIAN STRIP

	LANE DIVIDER
                                           TOWER HO.  3

                               MONITOR NO. 10  i ,[~| ^
                                MONITOR NO. 9
                                MONITOR NO. 8
Jtu
                               TOWER HO.  2

                    MONITOR NO.  7 ,Tj|,
                MONITOR NOS. 5 & 6
                    MONITOR NO.  4
                   JDU
            TOWER NO. 1
 MONITOR NO. 3  FT)
 (WITH WEATHER  M'  " H
  INSTRUMENTS)


 MONITOR NO. 2
 MONITOR NO. 1
JaJ
                             7 1 m
                             SETBACK
                    -X—
                        17.8 m SET
                   BACK
                           -X-
                                                                     21  4 m
                                                                     SETBACK

                                                                   23.2 m
 	I


                     ROUTE 562 (NORWOOD LATERAL)
           Figure  2-4.  Schematic  of sampling  locations.
                                    8

-------
speed and direction.   Tower No. 2, set 7.1  meters from the north edge of the
road, held four Hi-Vol monitors.  Placement was the same as on Tower No. 1,
except that the second tier (6.3 meters above ground) held two samplers, one
of which was used as a control.  The filters in the control sampler were
handled exactly like the filters of the other nine samplers, but no power was
supplied to the Hi-Vol.  The third tower was 21.4 meters from the road.

2.5  SAMPLING PROCEDURE
     The filter media used in this study were Schleicher and Schuell  No. 1  HV
of spectro quality grade.  During each of the 21  consecutive sampling days, at
approximately 10:00 a.m., ten filters from the previous 24-hour sampling
period were removed from the filter housing and replaced with unexposed
filters.  Hi Vols were calibrated and operated as specified in the Quality
                                                                    o
Assurance Handbook for Air Pollution Measurement Systems, Volume II.   The
exposed filters were then placed in an envelope and taken to the laboratory
for analysis.  Each filter was weighed twice and handled according to the
                                                       o
procedures described in the Quality Assurance Handbook.   As a control in the
laboratory, a laboratory filter blank was included daily and was handled in
the same manner as the other filters.  The laboratory blank provided infor-
mation on the background lead levels for this type of filter.  Additionally,
the EPA supplied 20 audit filter strips with known lead content, which were
also analyzed.  Sampling and analysis quality assurance data are included in
Appendix A.
     As indicated earlier, the measurements of wind speed and direction  were
obtained from instruments located atop the third tier of Tower No. 1. This
information was recorded continuously throughout the study on a strip chart.
The stripchart data were then reduced to hourly readings.

2.6  LABORATORY PROCEDURE
     The laboratory procedure involved gravimetric analysis of all filters
for particulate matter with a Torbal EA-1 AP analytical balance.  The filters
were equilibrated in a controlled environment of 20° to 25°C +3 percent  and
relative humidity of less than 50 +5 percent for at least 24 hours before
weighing.  When equilibration was reached, the filters were weighed imme-
diately after removal from the controlled environment.  Each filter was  tare

-------
and gross weighed twice.  If the difference between the weighings  exceeded
                                                            o
the requirements specified in the Quality Assurance Handbook  the  filters
were weighed again.  The original and check weighings were performed by
different analysts.
     After the filters were weighed the lead fraction of the particulate
sample  was analyzed with a Perkin-Elmer Model 560 atomic absorption spectro-
photometer.  Samples were prepared by a hot extraction procedure as described
                                  o
in the Quality Assurance Handbook.   The filters were digested in  batches of
25, and all samples were analyzed for lead on the same day.  Ten percent of
the samples were analyzed in duplicate, including the laboratory and field
blanks.  Strips measuring 1.9 by 20.3 cm were cut from the exposed filter.
Lead normally is considered to be uniformly distributed across a filter.  ' '
                                                                        911
This has not proved true, however, in measurement of roadside emissions.  '
Therefore, several cuttings were made at various locations on the  filter.
                                     10

-------
                                   SECTION 3
                                    RESULTS

     Despite efforts to place the monitoring site at the point of optimum
impact relative to wind direction, Figure 3-1 indicates that the overall
impact was primarily from the southwest, west, and west-northwest rather  than
the southeast, the direction toward which the monitors were oriented.   The
monitors were oriented southeast to catch the full impact of the plume from
the nearest traffic lane.  The intent was to maximize lead emission impact as
opposed to providing data to characterize traffic emissions.
     There were no days during the study when the wind was blowing directly
toward the monitoring site with appreciable speed (daily average in excess of
1.4 meters per second).

3.1  AVERAGE TOTAL SUSPENDED PARTICULATES
     Figure 3-2 depicts the average 24-hour concentration of total suspended
particulate matter (TSP) obtained from each of the field monitors.  The
average TSP concentration decreased with increasing elevation of the monitors
at each setback distance.  For all three setback distances the TSP concen-
tration is highest at the lowest elevation (1.1 meters).  This is the posi-
tion nearest the vehicle emission point and closest to the road level  where
reentrained dust can be picked up.  The average particulate level at ground
level is highest at the monitor nearest the roadway, and it decreases with
distance from the roadway.  At an elevation of 6.3 meters, average particu-
late concentrations from the sampler on the second tower (7.1 meters setback)
were higher than that at the 2.8 meter setback.  The sampler at 6.3 meters
elevation and 21.4 meters setback distance recorded lower average particulate
concentrations than did the sampler setback 7.1 meters at the same elevation.
It may be that the site nearest the roadway was located too close to the
source for the elevated monitors to collect the maximum portion of the
                                      11

-------
WWW
                           ssw
                                            ESE
        Figure  3-1.   Wind  rose  indicating  frequency
             of hourly  average  wind  direction.
                            12!

-------
  140


  130


  120]


  no


  100


  90
fc 60-
£

  50-


  40-


  30-


  20-


  10
TOWER
NO. 1
                   I
                       J_
                             I
                        _L
                                              TOWER
                                              NO.  3
                   6    8   10   12   14   16   18
                      MONITOR SETBACK DISTANCE, meters
                                            20   22
Figure 3-2.   Average 24-hour concentration of total  suspended
  particulates at various elevations  and setback  distances.
                                 13

-------
dispersing plume of traffic emissions.   The 7.1  meter  setback may  have  been
in a better position to catch a larger  portion  of  the  dispersing plume.   The
average concentrations at an elevation  of 10.5  meters  indicate  a slight
increase between 1.1 and 7.1 meters setback distance,  but  remained virtually
unchanged between 7.1 and 21.4 meters.   Tables  3-1,  3-2, and 3-3 show the 24-
hour TSP and lead concentrations at three elevations and at 2.8 meters,  7.1
meters, and 21.4 meter setbacks, respectively.

3.2  AVERAGE LEAD CONCENTRATIONS
     The average 24-hour concentrations of lead are  plotted in  Figure 3-3.
Supporting data are in Tables 3-1, 3-2, and 3-3.  All  of the measured concen-
trations of lead were adjusted to account for a mean background lead  concen-
tration on the filters.  This was done  by analyzing  laboratory  blanks for
each day of the sampling program.  Results from duplicate  filter analysis for
lead indicated a mean coefficient of variation  of  only 0.044  (4.4%) for the
exposed filters.
     As was the case with TSP, the highest lead concentrations  for all  set-
back distances were at 1.1 meters elevation. The  data show that lead con-
centrations are higher at the lower elevations  for each setback distance.
     The average concentrations at both the 6.3 meter  arid  the  10.5 meter
elevations decrease slightly between the 7.1 meter and the 21.4 meter setbacks.
These concentration gradients are less  than for the 1.1 meter  elevation.  The
average lead concentrations as a function of height do not converge as
rapidly with increased distance frim the road as they  did  for  TSP.
     The data  also  show that  the concentrations at both the 6.3 and 10.5
meters elevation are lower  at the 2.8 meters setback than for the  7.1
meters setback.  The wind  speed, wind  direction, and turbulence created  by
the vehicular  traffic  are  not sufficient to transport as many of the lead
particles  to the monitors  at 6.3 and 10.5 meters elevation close to the
roadway  (2.8 meters) as farther  from the roadway  (7.1 and 21.4 meters).
The concentrations  at  the  1.1 meter elevation show the normal  decreasing
trend as the distance  from  the  roadway is  increased.

-------
 1.40


 1.30-



 1.20-



 1.10-


 1.00

>
L
•0.90
5 0.80

UJ

§0.70
  0.60-


  0.50-


  0.40-


  0.30-


  0.20-


  0.10-
               -1	1	1	T
          TOWER
          NO. 1
                               10   12
                                        14
                                                           TOWER
                                                           NO. 3
16   IB   20   22
                       MONITOR SETBACK DISTANCE, meters
Figure 3-3.   Average 24-hour concentration of lead at  various
                 elevations and setback distances.
                                  15

-------
TABLE 3-1.   TOTAL SUSPENDED ^ARTICULATE  AND  LEAD  CONCENTRATIONS
     AT THREE HEIGHTS AND 2.3 METERS  SETBACK FROM THE  ROAD
Date
4/17/80
4/18/80
4/19/80
4/20/80
4/21/80
4/22/80
4/23/80
4/24/80
4/25/80
4/26/80
4/27/80
4/28/80
4/29/80
4/30/80
5/1/80
5/2/80
5/3/80
5/4/80
5/5/80
5/6/80
5/7/80
X
Concentration (yq/m )
TSP
1.1 m
79
125
124
79
124
159
121
119
100
80
89
86
127
122
145
199
157
182
209
202
162
133
6.3 m
63
105
95
63
103
101
96
74
86
72
61
59
93
92
124
166
136
158
139
160
120
103
10.5 m
53
113
97
53
57
97
94
68
91
72
54
53
61
89
121
160
131
156
114
143
104
95
Lead
1.1 m
0.64
2.45
2.30
0.69
1.98
1.08
0.70
1.03
0.41
0.18
1.31
0.97
1.80
0.75
1.53
2.49
1.97
2.28
1.33
0.87
1.09
1.33
6.3 m
0.43
1.98
1.71
0.53
1.35
0.51
0.59
0.53
0.28
0.18
0.59
0.60
1.27
0.55
1.24
1.99
1.64
2.13
0.71
0.66
0.62
0.96
10.5 m
0.41
2.11
1.56
0.42
0.77
0.32
0.51
0.38
0.28
0.19
0.11
0.40
0.83
0.49
1.14
1.75
1.64
1.94
•0.35
0.73
0.70
0.81
                              16

-------
TABLE 3-2.   TOTAL SUSPENDED PARTICULATE  AND  LEAD  CONCENTRATION
     AT THREE HEIGHTS AND  7.1  METERS SETBACK FROM THE  ROAD
Date
4/17/80
4/18/80
4/19/80
4/20/80
4/21/80
4/22/80
4/23/80
4/24/80
4/25/80
4/26/80
4/27/80
4/28/80
4/29/80
4/30/80
5/1/80
5/2/80
5/3/80
5/4/80
5/5/80
5/6/80
5/7/80
X
o
Concentration (yg/m )
TSP
1.1 m
77
125
115
82
118
160
112
112
98
83
83
81
115
113
138
197
150
177
189
183
142
126
6.3 m
72
125
112
74
120
118
111
86
100
83
71
71
101
104
134
197 .
162
183
164
181
135
119
10.5 m
-
116
101
65
108
99
96
70
95
76
57
55
85
91
123
163
143
160
124
149
113
104
Lead
1.1 m
0.56
2.33
2.18
0.71
1.49
1.01
0.72
0.68
0.37
0.22
1.06
0.76
1.36
0.82
1.14
2.26
1.85
2.16
1.09
0.97
0.68
1.16
6.3 m
0.44
2.13
1.72
0.57
1.67
0.51
0.70
0.53
0.40
0.43
0.94
0.63
0.95
0.59
1.12
2.27
1.92
2.35
0.78
0.98
0.89
1.07
10.5 m
-
2.03
1.78
0.38
1.65
0.32
0.52
0.37
0.30
0.31
0.60
0.34
0.65
0.42
1.42
1.69
1.91
2.22
0.41
0.61
0.71
0.93
                             17

-------
TABLE 3-3.   TOTAL SUSPENDED PARTICIPATE AND  LEAD CONCENTRATION
    AT THREE HEIGHTS AND 21.4 METERS SETBACK FROM THE ROAD
Date
4/17/80
4/18/80
4/19/80
4/20/80
4/21/80
4/22/80
4/23/80
4/24/80
4/25/80
4/26/80
4/27/80
4/28/80
4/29/80
4/30/80
5/1/80
5/2/80
5/3/80
5/4/80
5/5/80
5/6/80
5/7/80
X
•3
Concentration (yg/mj
TSP
1.1 m
70
120
103
68
108
131
95
90
96
64
58
67
96
101
123
202
141
168
161
161
126
112
6.3 m
70
118
105
70
113
113
94
80
98
80
67
60
91
95
129
179
151
168
142
156
118
109
10.5 m
68
114
101
66
107
104
95
72
96
78
61
55
87
95
129
169
157
166
133
154
117
106
Lead
1.1 m
0 39
2.18
. 1.91
0.53
1.53
0.71
0.50
0.59
0.28
0.26
0.90
0.68
1.03
0.63
1.16
1.85
1.81
1.88
0.85
0.69
0.90
1.01
6.3 m
0.39
2.22
1.67
0.42
1.57
0.52
0.50
0.46
0.29
0.34
0.83
0.56
0.79
0.54
1.18
2.12
1.85
1.82
0.77
0.74
0.83
0.97
10.5 m
0.41
2.07
1.68
0.44
1.49
0.36
0.48
0.36
0.31
0.31
0.62
0.39
0.86
0.43
1.20
1.75
1.96
1.98
0.52
0.60
0.77
0.90
                             18

-------
 1.10


 1.00


 0.90



 0.80
I

'0.70
I

JO.60

i

i 0.50


 0.40


 0.30


 0.20


 0.10
          1	T
TOWER
NO.  1
TOWER
NO. 2
                   _L
                                 1.1 METER ELEVATION
                              10.5 METER ELEVATION
                         J_
                                        _L
TOWER
NO.  3
                                   _L
                    6    8    10    12    14   16    18   20    22
                     MONITOR SETBACK DISTANCE, meters
 Figure 3-4.   Average  percentage of lead in total  suspended
      particulate samples at  three elevations and three
                       setback distances.
                               19

-------
     The data show that sampler height,  is  critical  in terms of concentration
range uniformity closer to the roadway  (2.8 meters  setback), but it becomes
less critical between 7.1 meters and 21.4  meters  setback.

3.3  LEAD AS A PERCENTAGE OF TOTAL  SUSPENDED PARTICIPATES

     The lead fraction as a percentage  of  the  particulate concentration
was calculated for all  samples.   The results are  illustrated in Figure 3-4.

     A 1977 report by PEDCo^ indicated  that the average fractions of lead
in particulate samples were 1 to 2  percent, with  none less than 0.2
percent and none higher than 5.0 percent.  The data in the current study
indicate an average of 0.80 to 1.00 percent.   The highest percentage of
lead was measured at monitors located at 1.1 meter  elevation.  Figure 3-4
indicates that lead as a percent of TSP decreases with elevation.  Distance
from the roadway appears to have minimal effect on  lead concentration
expressed as percent of TSP concentration.

3.4  RELATIVE LEAD CONCENTRATIONS

     Figure 3-5 shows the effects of locating  lead  monitors in positions
that are less than optimal  for measuring maximum concentrations, where
breathing level  (1.1 meters elevation)  would be considered optimal. The
average concentrations at elevations of 6.3 and 10.5 meters are expressed
relative to the concentrations at 1.1 meters for  each of the three setback
distances.   At both elevations the  maximum relative lead concentration is
obtained when the setback distance  is 21.4 meters.  Relative concentrations
at setback  of 7.1 meters from the roadway  and less  than 6.3 meters
elevation represented 96 percent of the maximum.  Relative concentrations
at 21.4 meters from the roadway  and 10.5 meters elevation represented 89
percent of the maximum lead concentration.
                                    20

-------
     1.0
  3 0.8
  UJ

  tt
  UJ
 : »—
 > UJ




 ':'- 0.6
 i (—
 > «t

5z
00





    0.4
 LU U-
 a: o
   o
   gO.2

   §
             TOWER
             NO.  1
             i	I
                      j	I
                                                           TOWER
                                                           NO.  3
                                                    i	I
                       6     8    10   12   14   16   18   20    22

                        MONITOR SETBACK DISTANCE, meters
       Figure 3-5.   Average  24-hour concentration of  lead at the
ground level monitor compared  to concentrations at elevated monitors.
                                    21

-------
                                   SECTION 4
                                 CONCLUSIONS

     The data from this study show that both TSP and lead concentrations are
greatest at the 1.1 meter breathing level height for each of three setback
distances studied.  The TSP and lead concentrations at three vertical  heights
are different at each setback distance from the roadway.   The concentration
differences between each height are greater between 2.8 and 7.1  meters set-
back.than between 7.1 and 21.4 meters.
     The EPA performed a statistical analysis of the monitoring  results
(Appendix B) to determine if the data support the siting criteria for micro-
scale and middle scale lead monitoring stated in the regulation.  The cri-
teria allow microscale monitors to be placed between 2 and 15 meters from the
roadway and at a vertical height of 2 to 7 meters.  Monitors at  middle scale
sites should be between 15 and 100 meters from the roadway and at 2 to 15
meters high.  The analysis concludes that the siting criteria for both
monitoring sites are reasonable both in terms of height and setback distance.
                                     22

-------
                                  REFERENCES
 1.  Federal  Register, Vol.  43,  No.  194,  Thursday, October 5,  1978,  pp.
     46246-46247.

 2.  Danies,  R.  H., H. Motto,  and D.  M.  Chilko.   Atmospheric  Lead:   Its
     Relationship  to Traffic Volume  and  Proximity to Highway.   Environ.  Sci.
     Technol.  4  (4):318-322, 1970.

 3.  PEDCo Environmental, Inc.   Lead  Analysis for Kansas City  and Cincinnati.
     Environmental  Protection  Agency, Contract 68-02-2515.  June 1977.

 4.  Bryan, R. J.,  R. J.  Gordon, and  H.  Menck.  Comparison of  High Volume Air
     Filter Samples at Varying Distances from Los Angeles Freeways,  Presented
     at the 68th Annual Meeting  of the Air Pollution Control Association,
     Chicago.   June 24-28, 1973.

 5.  Barltrap, D.,  and C. D. Strelow.  Westway Nursery Testing Project.
     Report to the  Greater London Council.   August 1976.

 6.  Creason,  J.P., et al.  "Roadside Gradients in Atmospheric Concentrations
     of Cadmium, Lead, and Zinc," in  Trace Substances in Environmental Health,
     V. 5., A Symposium,  D.D.  Hemphill,  ed.   U.  of Missouri, 1972.

 7.  Record,  F., et al.  Philadelphia Particulate Study, G.C.A.  Report to EPA,
     Report No.  GCA-TR-78-02-6,  1978.

 8.  U.S. Environmental Protection Agency Report No. 600/4-77-027a,  May  1977.
     Quality Assurance Handbook  for  Air  Pollution Measurement  Systems Volume
     II.

 9.  Scott, R. K.,  et al.  Atomic Absorption and Optical Emission Analysis of
     NASN Atmospheric Particulate Sampler for Lead.   Environ.  Sci. and Technol,
     10, 877-880,  1976.

10.  Zdrojewaki, A., et al.   The Accurate Measurement of Lead  in Airborn
     Particulates.   Inter. J.  Environ.  Anal.  Chem. £, 63-77, 1972.

11.  U.S. Environmental Protection Agency Report No. 600/4-77-034, June  1977.
     Los Angeles Catalyst Study  Symposium,   pp.  223.
                                     23

-------
                                  APPENDIX A
                             LABORATORY PROCEDURES

     The methods described in the following references were used to determine
the total suspended particulate (TSP) arid lead (Pb)  concentrations:
     1.   Reference Method for the Determination of  Suspended Particulates  in
          the Atmosphere.  40 CFR 50.11,  Appendix B, July 1, 1975.
     2.   Reference Method for the Determination of  Lead in Suspended Par-
          ticulate Matter Collected from Ambient Air.   43 CFR 194,  Appendix
          G, October 5, 1978.
     The Quality Assurance procedures used are described in:
          Quality Assurance Handbook for Air Pollution Measurement  Systems,
          Volume II.  U.S. EPA Publication No. EPA-600/ 4-77-027a,  May 1977
          (The lead analysis procedure is in draft form).
     The following deviations were made from the published QA procedures.
All procedures are more rigorous than required by the manual.
     1.   Schleicher & Schuell Type 1-HV spectoquality filters were used.
     2.   All filters were tare and gross weighed twice.  The original and
          check weighings were performed by different analysts.
     3.   10% of the samples were analyzed in duplicate,.  10% of each of the
          field and lab blanks were also analyzed in duplicate.  Each of the
          9 sites had at least 2 duplicates run several days apart.
     4.   20 audit strips of known Pb content, supplied by the U.S. EPA, were
          also analyzed.
     The filters were digested in batches of 25.  The hot acid method de-
scribed in the Reference Method was used.  Table A-l details the distribution
by filter type of each batch.  All samples were analyzed for lead on the same
day.
                                      24

-------
     Summaries of the values obtained from the analyses of the field blanks,
lab blanks, and audit strips are attached.  All  lead values reported have
been corrected for the 23 yg Pb/filter of the lab blank.
     The audit strip summary shows decreasing recovery of Pb with increasing
concentration.  No sample, however, contained more than 500 yg Pb per strip
(1/12 filter), and most contained less than 200 yg Pb.
     The summary of replicates shows a mean coefficient of variance of 0.044
(4.4%).
                                      25

-------
                         LABORATORY QUALITY CONTROL FOR
                       SPECIAL MONITORING PROGRAM FOR LEAD
                                    PN 3366-G
     Each filter for this project was prepared according  to  method  87  except
that each filter was weighed at least twice before sampling.   Each  day samples
consisted of a set of 11 filters - 9 sampling filters, 1  laboratory blank and
1 field blank.
     All filters were equilibrated, weighed, and then stored in their  original
container.  The filters were stored and loaded in a clean area prior to their
delivery to the sampling site.  The field blank was placed in a shelter
similar to those used for the samplers.
     Upon return of each set of recovered filters to the  laboratory a  clean
filter from the stock was added as a laboratory blank.  Each set of filters
was delivered and logged in the laboratory using the standard procedure.
     Each set of filters was equilibrated and weighed according to  method 87
except that each filter was weighed at least twice.  When all filters  in a set
had been weighed and met the specified criteria, they were prepared for lead
analysis.
     Lead analysis was done according to the method list  in  the Q.A. Manual
Volume II for Ambient Methods.  All eleven filters in the set were  analyzed
along with one audit strip for Pb.  One sample filter was extracted and
analyzed in duplicate.
                                     26

-------
C/)
»—I
C/1
oo

LjJ
a:
oo
oo
<£.
cr
OL
O
o
co
O

cc
oo
 I

i— CTl
CO i— CM CM CM CO
co i — ro co CM r^-.
CO OJ CM . CM i — -
i — in
f^ CM CM i — i — CM "
r— OO
CM
r^ CM i — i — CM CM »
to to
(O to (/) 03 O
a> ^* j*z Q. cu -i-
Q. C ' C 4/1 -r~ CX-M
ojftjna -i^-*: s-oiro
i- i — i — to c ci/> -i-> s--t->
to -QX3-M(CrO-l-JtO  i — E
Q-CLi — i — Q. Q.-t-Q_O
E E cu cuauj^jDcu-o ES-
(O ITS -i- T- S- (O to i. 3 (O4-
OOOOU-LL. 	 I 	 I CCOO
CO
CM
ID
in
CM
in
CM
in
CM
in
CM
in
CM
in
CM
in
CM
CM
IT)
CM
in
CM
in
CM
(O
o
I—
                                                        27

-------
                                  APPENDIX B
      ANALYSIS OF ROADWAY LEAD DATA USING ANALYSIS OF VARIANCE TECHNIQUES
                             William F. Hunt, Jr.,
                               Thomas Cur^an and
                                   Eve Sneed
                     U.S. Environmental Protection Agency
                 Office of Air Quality Planning and Standards
                 Research Triangle Park, ^orth Carolina 27711
     The lead data, collected by PEDCo Environmental, Inc.  in the report,  Field
Study to Determine Spatial Variability of Lead from Roadways , have been reana-
lyzed using the Analysis of Variance (ANOVA).   The data were collected by  PEDCo
Environmental to perform a limited field monitoring study to determine the
relative horizontal and vertical lead distribution in support of the monitoring
siting ranges in the Part 58 regulation.  The  application of the ANOVA to  the
lead and TSP data is presented, along with the results of the analysis.

Statement of Objectives

     (1)  To determine whether there are significant differences in lead
          concentrations measured at varying setback distances from roadways
          and at different vertical  heights.

     (2)  If there is a difference between setback distances or vertical
          heights or combinations of both, we  wish to determine the optimum
          location for monitoring the expected maximum lead concentrations
          along roadways with consideration being given to safety, vandalism,
          and averaging time of the standard.

Descriptions of the Experiment

     The experiment is a factorial design, where the setback distances (L^) and
vertical heights (H,) are fixed and the effects of week (Wk) and day (D^  are
random.   The location for the experiment was the parking area of an abandoned
drive-in theatre on State Route 562, in the Norwood area of Cincinnati.   Three
towers,  each with three tiers at 1.1, 6.3, and 10.5 meter heights (H^),  were

                                          28

-------
constructed.  One high-volume sampler for measuring TSP and lead was located at

each tier of each tower.  The towers were located at setback distances of 2.8,

7.1, and 21.4 meters from the road.  Both lead and TSP data were collected for

three weeks between April 17 and May 7, 1980.  The procedures taken to ensure

data quality are described in the report and will not be discussed here.


Mathematical Model
     An additive model was used to describe the experimental design as follows:

Xijkl = *+ Li + Hj + LHij + Wk + LWik +HWjk + Dl + WDlk + Eijkl
where X. .., = the lead or TSP measurement


          u = the overall average

         Li = the effect due to setback distance

         H. = the effect due to vertical height
          *J
       LH. . = the effect due to the interaction of setback distance and
          J   vertical height

         Wk = the effect due to differences between weeks

       LW.jk = the effect due to the possible interaction between setback
              distances and weeks

       HW.. = the effect due to the possible interaction between vertical
         J    heights and weeks

         D, = the effect due to days

       WD,. = the effect due to the possible interaction between weeks and  days

      E. .. , = the undesigned variability or random error


     The term E.-^-i is made up of the following 2 and 3 way interactions which

were assumed not to exist:  LHWi ,k> LD^, HD^, LHD.^, LWD^,  HWD,kl  and
           It must be kept in mind that the authors of this  Appendix did  not

design the original  experiment,  but instead applied the ANOVA after the experiment

had been run and the data collected.
                                         29

-------
Results

     In performing the ANOVA, no tranformation Of the data was taken.   The data
were assumed to be approximately normally distributed.   The ANOVA for  lead is
shown in Table 1 and the ANOVA for TSP is shown in Table 2.   In both analyses,
all the sources of variation were statistically different from 0.0 with the
exception of the interactions of setback distance by week and vertical  height  by
week.  The mathematical model explains 95.5% of the lead variability and 95.3% of
the TSP variability.

     Of particular importance is the result that-there is a significant interaction
between setback distance and vertical  height.   This is illustrated in  Figures  1
and 2 for lead and TSP, respectively,  which summarize the interactions  by calculating
the means associated with each combination of setback distance and vertical
height, along with their 95% confidence Intervals.  Where the confidence intervals
overlap, the means are not significantly different from one another.  Because
multiple comparisons are being made, the Just Significant Confidence Interval
(JSCI) has been calculated using the Tukey "q" statistic.

     Generally, at each setback distance, the mean of lead or TSP decreases as
the vertical height increases.  At the setback distance of 2.8 meters,  the mean
associated with a vertical height of 1.1 meters is the highest recorded and is
significantly different from the recorded means at the vertical heights of 6.3
and 10.5 meters.  (The confidence intervals do not overlap.)  As the vertical
height increases to 10.5 meters, the lowest mean is recorded.  At each  setback
distance, the decrease in both lead and TSP levels as the vertical height increases,
is different with the greatest drop shown at the setback distance closest to the
roadway (2.8 meters).  This difference, in the relative change at each  of the
setback distances, is why the interaction exists.

     An examination of Figures 1 and 2 shows that multiple comparisons  can be
made.  Of particular interest is whether or not this analysis supports the EPA
recommended siting criteria for the microscale and middle scale roadway sites
to measure the area of maximum lead concentration.  The EPA recommendation for
the microscale sites is that the lead monitor be placed between 5 and  15 meters
                                        30

-------
from the roadway with a vertical height of 2 to 7 meters.   The recommendation for
the middle scale sites is that the lead monitor must be placed between 15 and 100
meters, depending on the average daily traffic, with a vertical  height of 2 to 15
meters.  From Figure 1, the maximum concentration is observed at the monitor
closest to the roadway (setback distance of 2.8 meters and vertical  height of 1.1
meters).  In some cases it may not be permissible to establish such a site or it
may not be practical to locate the monitor so close to the roadway,  because of
potential vandalism, and problems in servicing a monitor so close to the flow of
traffic.

     Eliminating the monitor closest to the roadway, the next highest recorded
mean of ambient lead levels occurs at a setback distance of 7.1  meters and a
vertical height of 1.1 meters.  This mean is not significantly different from the
mean of the ambient level recorded at the same setback distance, but at the
higher vertical height of 6.3 meters.

     The mean recorded at this combination of vertical height (6.3 meters) and
setback distance (7.1 meters) is of interest, because it is the  only monitor
located within the EPA criteria for the microscale roadway type  site.   It is
important to note that the confidence interval about the mean of this monitor
overlaps the confidence intervals of the means of all other monitors with the
exception of the means of the monitors located at a setback distance of 2.8
meters and vertical heights of 1.1  meters (the highest mean) and 10.5 meters (the
lowest mean).

     All three monitors at 21.4 meters from the roadway were located within the
EPA criteria for the middle scale roadway type site.  The means  for  these monitors
are not significantly different from each other since the confidence intervals of
the means overlap.   Also, it should be noted that these confidence intervals
overlap the confidence interval of the mean of the monitor located at 7.1 meters
from the road and 6.3 meters high.

     Since the monitor closest to the roadway with the highest mean  (vertical
height of 1.1 meters) is not practical because of potential  vandalism and problems
in servicing a monitor so close to the flow of the traffic,  the  EPA  recommended
                                        31

-------
siting criteria for microscale and middle scale sites for distance from roads
and height above ground are reasonable.
Reference
     1.   W.J. Dixon and F.J.  Massey, Jr., Introduction to Statistical
Analysis. 440-442, McGraw-Hill Book Co.,, Inc., New York (1957).
                                     32

-------
                                  TABLE 1.  ANOVA TABLE FOR LEAD
i
Source of
Variation
Distance (L)
Height (H)
L x H
Week (W)
L x W
H x W
Day (D)
W x D
Error
Degrees of
Freedom
2
2
4
2
4
4
6
12
151
Sum of
Squares
0.247
2.729
1.080
19.005
0.021
0.101
15.925
35.980
3.506
Mean
Square
0.124
1.365
0.270
9.503
0.005
0.025
2.654
2.998
0.023
F Statistic
5.39*
59.35***
11.74***
413.17***
<1
1.09
115.39***
130.34***

             *   Probability less than 0.01
             **  Probability less than 0.001
             *** Probability less than 0.0001
                                                33

-------
                          TABLE 2.  ANOVA TABLE FOR TSP
Source of
Variation
Distance (L)
Height (H)
L x H
Week (W)
L x W
H x W
Day (D)
W x D
Error
Degrees of
Freedom
2
2
4
2
4
4
6
12
151
Sum of
Squares
1660.290
15850.626
7141.353
168137.959
81.719
479.111
27471.217
29238.256
12239.233
Mean
Square
830.145
7925.313
1785.338
84068.979
20.430
119.778
4578.536
2436.521
81.055
F Statistic
10.24**
97.78***
22.03***
1037.19***
<1
1.48
56.49***
30.06***

*    Probability less than 0.01
**   Probability less than 0.001
***  Probability less than 0.0001
                                    34

-------
                                                      00
                                                      CM
                                  X
                                  o
                                  Sj
                                          1  1
I    1    I     I
                                                          o:
                                                          UJ
                                                          1
                                                       -.
                                                       00 O

                                                          I
                                                          O


                                                       *P
                                                          LU
                                                       ~. CO
                                     ^      OJ

                                     QV31
                                                                  o
                                                                  re
 a) -c
-H en
 C i-
i—i CD
   ac
 at
 O i—
 C (O
 
c_>
   •o
-P C
 C 
 O (U
 $- U
 
LO «/)
cn -r-
   o
-o
 c -^
 (O O
   (O
                                                                     0)
                                                                     GO
 u o
•r~
+J to
 tt) C
 e o
J^ •!-
-(J •»->
•r- (O
 s- c
et ••-
                       35

-------
                          o
                         £
        ^^£
        ^^ ** * ^u
                              ~. c-l »O
                                TT
                                           CM
                                           OJ
                                             cc
                                             UJ

                                           Bi
                                           (P —

                                             i
                                             Q
                                           "
                                           CM UJ
                                           ~~
                                           _
                                           CO
                                             p
                                             UJ
                 to

                 «0
                 >
                 &_ 0}
                 CD o
                 4J C
                 C (C

                   to
                 (^ "^~
                 O 0


                 •o o
                 t- »0
                 H  j^
                 C +J
                 O QJ
                                                     4J «4- +
                                                     cox:
                                                     O)   O1
                                                     O CO f-
                                                     i_ C O>
                                                     o» o oc
                                                     CL. -i-
                                                       -P r-
                                                     ir> 
                                                     c E i-
                                                     na O Ol
                                                       o s»
                                                     I/)
                                                     C J- -O
                                                     <0 O C
                                                     Q) M- ra

                                                       in
                                                     O -M
                                                     •r- C
                                                     +•> O)
                                                    S-
                                                    
-------
                                     TECHNICAL REPORT DATA
                             (Please read Instructions on the reverse before completing)
 1. REPORT NO.
  EPA-450/4-83-002
 4. TITLE AND SUBTITLE
  Field Study to Determine Spatial Variability of  Lead
  from Roadways
            5. REPORT DATE
                  1981
            6. PERFORMING ORGANIZATION CODE
 7. AUTHOR(S)
                                                              8. PERFORMING ORGANIZATION REPORT NO
                                                              3. RECIPIENT'S ACCESSION NO.
May
 9. PERFORMING ORGANIZATION NAME AND ADDRESS
  PEDCo  Environmental,  Inc.
  11499  Chester Road
  Cincinnati,  Ohio  45246
            10. PROGRAM ELEMENT NO.

              A24A2F
            11. CONTRACT/GRANT NO.
                                                                68023013
 12. SPONSORING AGENCY NAME AND ADDRESS

  U.S.  Environmental Protection  Agency
  Monitoring  and Data  Analysis Division
  Research  Triangle Park,  NC  27711
            13. TYPE OF REPORT AND PERIOD COVERED
              Field Study  - 1980
            14. SPONSORING AGENCY CODE
 15. SUPPLEMENTARY NOTES
 16. ABSTRACT
       A  short-term field monitoring  study was conducted to  determine the  horizontal
  and vertical lead distribution along roadways.   Results are  presented for  three
  heights  and three horizontal setback distances  from roadways.
 17.
                                 KEY WORDS AND DOCUMENT ANALYSIS
                   DESCRIPTORS
  Lead  Monitoring
  Horizontal  and Vertical  Lead Distribution
  Ambient Air Quality  Measurements
                                                b. IDENTIFIERS/OPEN ENDED TERMS

                                              ~| 19 SF"3\.R~T- CLASS (ThisJieponT
                                                   Unclassified
                         c.  COSATI Field/Group
                            10
                          21 NO. OF PAGES
                             46
i  Release Unlimited
 EDA Form 2270-.; !Sov. 4->7\
- = .-', ^ T ' CL 133 ,''"
Unclassified
                                                                            22. PRICE
                         E V I C' L- S ED' ."ION ! 5 O B b O L £_ T t

-------