United States
               Environmental Protection
               Agency	
National Risk Management
Research Laboratory
Research Triangle Park, NC 27711
               Research and Development
EPA/600/SR-95/171  January 1996
EPA      Project Summary
               Characterization  of  Mud/Dirt
               Carryout onto Paved
               Roads  from  Construction  and
               Demolition Activities
               Michael M. Raile
                Several urban areas of the country in
               violation of the National Ambient Air
               Quality Standard (NAAQS) for particu-
               late matter have identified fugitive dust
               generated by vehicular traffic on paved
               streets and  highways resulting  from
               mud/dirt carryout from unpaved  areas
               as a primary source of PM-10 (particles
               < 10  u,m in  aerodynamic diameter).
               Since little data are currently available
               on the amount of mud/dirt carryout de-
               posited on paved roads, this work char-
               acterizes the process and evaluates
               selected control methods. These con-
               trol technologies were evaluated for ef-
               fectiveness  in controlling  mud/dirt
               carryout from an unpaved construction
               access area  onto an adjacent paved
               road.  The  first control  used  a street
               sweeper to mechanically sweep the dirt
               and debris from the  paved road sur-
               face. The second applied a 6- to 12-in.
               (15- to 30-cm) layer of woodchip/mulch
               material onto the access area of the
               construction  site to a distance 100 ft
               (30 m) from the paved road. The  third
               applied a 6-in. layer of gravel  over the
               access area. Street sweeping was found
               to be only marginally effective (approxi-
               mately 20%)  in reducing average silt
               loading on the paved road lanes. Treat-
               ment  of the access area with a buffer
               of woodchip/mulch was moderately ef-
               fective, reducing average silt loading
               by 38  to 46%. The gravel buffer showed
               the greatest effectiveness, reducing the
               average silt loading by 57 to 68%. These
               silt loading reductions result in the fol-
               lowing calculated PM-10 reductions:
 street sweeping, 14%; woodchips, 27
 to 33%; and gravel, 42 to 52%.
   This Project Summary was developed
 by EPA's National Risk Management
 Research Laboratory's Air  Pollution
 Prevention and Control Division, Re-
 search 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
   Several areas of the country that are in
 violation of the National Ambient Air Qual-
 ity Standard (NAAQS) for PM-10 (particles
 <10u.m  in  aerodynamic diameter) have
 conducted studies to identify the sources
 of these emissions. A primary source of
 PM-10 in many urban areas is the fugitive
 dust generated  by  vehicular  traffic on
 paved streets and highways.
   Road dust emissions occur whenever a
 vehicle travels over a paved surface, such
 as public and industrial roads and parking
 lots. Particulate  emissions originate pri-
 marily from the road surface material load-
 ing (measured as mass of material per
 unit area). The surface loading is in turn
 replenished by other sources (e.g., pave-
 ment  wear, deposition of material from
 vehicles, deposition from other nearby
 sources,  carryout from surrounding un-
 paved areas,  and litter). Because of the
 effects of the surface loading, available
 control techniques attempt to either (a) pre-
 vent material from being deposited on the
 surface or  (b) remove (from the  travel
 lanes) any material that has been depos-
 ited.

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  According to the Environmental Protec-
tion Agency (EPA)  publication,  Compila-
tion  of Air Pollutant Emission Factors
(AP-42),  the quantity of dust emissions
from vehicle traffic on a paved public road
(per  vehicle kilometer traveled or VKT)
may  be estimated using the empirical ex-
pression:

         E = 4.6  (sL/2)065 (W/3)15

where:   E = PM-10 emission factor
             (g/VKT),

         s = surface silt content (fraction
             of particle < 75 urn in
             physical diameter),

         L = total road surface dust
             loading (g/m2), and

        W = average weight (tons) of the
             vehicle traveling on the
             road.


  Activities such  as  construction  and
demolition  projects  can create  a tempo-
rary,  but substantial,  increase  in  the
amount of fine particles on the surfaces of
adjacent paved roads.  This  increase in
fine particle loading is the result of mud/
dirt carryout from vehicles leaving the con-
struction/demolition site.
  Furthermore,  carrying out material onto
a paved road is characterized by substan-
tial spatial  variation in loading about the
point of access to the site. This variation
complicates the estimation of emissions
caused by carryout as well as the emis-
sion  reductions achievable by control of
carryout. The spatial  variations and  the
associated difficulties  in estimating emis-
sions become less important as the num-
ber of access points in an area increases.
  A prior field study specifically addressed
mud/dirt carryout onto urban paved roads.
It was conducted  in  1982 as  part of  a
national demonstration study of construc-
tion-related dust emissions.
  This report describes a field study un-
dertaken to better understand the mecha-
nisms  of mud/dirt  carryout as well as the
effectiveness of measures used  to control
carryout. The  study collected and  ana-
lyzed surface material samples taken from
a paved  road adjacent to a construction
site  in the  Brush Creek Flood Control
Project in the metropolitan area of Kansas
City,  MO. The effects of mud/dirt carryout
control were evaluated by monitoring the
changes in paved road surface dust load-
ing. Both preventive and mitigative mea-
sures for controlling  carryout were consid-
ered.  Preventive  measures attempted to
keep  material  from  being deposited on
roadways, while mitigative  measures at-
tempted to remove the material after be-
ing deposited. The mitigative control mea-
sure of interest in this  study  was com-
bined water flushing and broom sweep-
ing.  The two  preventive measures that
were  studied involved covering the  ac-
cess area with  a coarse material (gravel
and woodchips/mulch).

Site Description
  The  paved roadway segment that was
selected for this study was the north-south
section of Elmwood Avenue between Blue
Parkway and Brush Creek Boulevard in
east central  Kansas City, MO. The road-
way segment is  approximately 1200 ft (365
m) long and 40 ft (12  m) wide. It carries
an annual average daily traffic volume of
-10,000 vehicles and is classified as  a
minor arterial roadway. At the time of this
study, a pocket  of construction activity as-
sociated with the Brush Creek Flood Con-
trol Project was located  on  the east side
of Elmwood  Avenue. This activity notice-
ably impacted  Elmwood Avenue in  the
mud/dirt carryover.
  With the construction of a dam and other
earthmoving activities, the  Elmwood site
was expected to provide enough truck traf-
fic to support a field  sampling  program
throughout the summer of 1994. Ten-wheel
dump trucks  carried earth  from the site,
south on Elmwood,  and then on to  their
final  destination. On days that it rained,
the trucks could not enter the site due to
an incline near  the site entrance that be-
came too muddy to support vehicles safely.
On those days, the trucks  were directed
to other sites where they could work.

Road Surface Sampling
  This field  sampling program was  de-
signed to efficiently collect paved  road
surface material samples at various dis-
tances between 50 and 550  ft (15 and 170
m) from the  construction site entrance on
Elmwood Avenue over an extended time
period. From previous  studies of silt load-
ing on paved roads,  it was known that the
loadings  could vary  from one lane to the
next. For this reason, a sampling scheme
allowed for segregation of the two south-
bound  lanes. If necessary,  at the end of
the data reduction process,  the data from
the two southbound lanes could be  inte-
grated  with  each other  to  represent just
the southbound portion  of  the roadway.
One area of southbound  Elmwood Av-
enue, just north of the access point, was
designated for the collection  of background
silt loading samples  that ideally would not
be impacted by carryout from the  con-
struction  site. Samples of the material on
the road surface were  collected  by dry
vacuuming  and then analyzed for silt con-
tent according to the procedures outlined
in AP-42.
Source Activity Monitoring
  Source  extent  and activity data were
also collected in  the  sampling  program.
Vehicle-related parameters were acquired
using a combination of manual and auto-
matic  recording techniques.  Pneumatic
tube axle  counters  were used to obtain
traffic  volume data. However,  because
these counters recorded only the number
of passing axles,  it was necessary to ob-
tain traffic mix information (e.g.,  number
of axles per vehicle) to convert axle counts
to the  number of vehicle passes. Vehicle
mixes were observed visually.
  Daily weather data were obtained from
a local newspaper, and rainfall measure-
ments  were  made  on  site  with  a  rain
gauge. A daily  log was also maintained,
noting  any activities that were observed at
the site or any communications that were
pertinent to the outcome of the project.

Study Conditions
  In addition to the uncontrolled study con-
dition, three different mud/dirt carryout con-
trols were evaluated in the program: street
sweeping,  installation of a woodchip/mulch
apron  (buffer) at  the site access  point,
and installation  of a gravel buffer at the
same  point. These  controls  were evalu-
ated sequentially as described below.
  First, the  paved road adjacent to the
site (Elmwood Avenue) was  cleaned to
the extent practical using  a  combination
of broom  sweeping and  flushing.  This
cleaning represented a "baseline" silt load-
ing value for future reference. (In this con-
text, "baseline"  refers to as clean  a road
surface as possible.)
  Once baseline levels were reached, the
surface loading was allowed to increase
to its  "steady state" condition,  with sam-
pling conducted before and after precipi-
tation throughout the "conditioning" period.
Post-precipitation sampling was performed
once the road surface became dry enough
to collect surface samples. The data from
these samples established both the mag-
nitude  and extent of the uncontrolled mud/
dirt carryout from  the site and provided a
time history of  the  overall carryout pro-
cess starting from  an essentially  clean
surface.
  When the uncontrolled tests were com-
pleted,  the  paved road was thoroughly
cleaned again (sweeping and flushing) to
baseline condition prior to evaluation of
street sweeping as the first control method.

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Thereafter, the road was swept periodi-
cally,  using  the fleet of street sweepers
that were already being  used to control
carryout in the immediate vicinity. Sweep-
ing occurred every other workday, except
on days that it rained.  Surface sampling
was conducted at approximately the same
time  periods before and  after precipita-
tion,  as was  done for the uncontrolled
sampling,  to determine the overall reduc-
tion in silt loading.
  Prior to evaluating the  second control
method, the paved road  was again ag-
gressively cleaned  (sweeping  and flush-
ing) to reestablish the baseline condition.
Coordinated  with the   cleaning,  the
woodchip/mulch material was applied in a
6- to 12-in. layer  to the site access  point
and adjacent  areas to provide  a  100-ft
buffer between the paved and unpaved
surfaces. The  buffer allowed the  mud/dirt
carried on the  truck tires and underbodies
to deposit in the  buffer area, rather than
on the paved road. Reductions in  silt load-
ing were  then quantified  by appropriate
surface sampling at comparable time peri-
ods before and after precipitation.
  Finally, after  the  paved road  was
cleaned again  (sweeping and flushing) to
the baseline condition,  the previously in-
stalled woodchip/mulch buffer area was
replaced  with  a gravel  buffer (100 ft long
and 6 in. deep). Comparable surface sam-
pling  was performed  before  and  after
precipitation  in a manner similar to  that
described above.
  Note that the  original test  plans  had
called for  the evaluation of street sweep-
ing, the  gravel  buffer, and  an  asphalt
buffer. However,  the construction site su-
pervisor responded to  the city's request
for controlling  on-site fugitive dust by us-
ing a woodchip/mulch buffer. Because the
woodchip/mulch buffer was an actual con-
trol measure chosen by the contractor, it
was decided to evaluate this buffer's ef-
fectiveness.
  By the time that the gravel buffer was to
be evaluated,  traffic into  and  out of the
site had  been reduced and was not ex-
pected to pick up until concrete pouring
began  in  earnest at the  dam  site.  Be-
cause of schedule constraints, it was jointly
decided by the EPA work assignment man-
ager and the contractor to generate "cap-
tive" traffic to  complete the evaluation of
the gravel buffer.  The "captive" traffic that
was  used was a  10-wheeled truck  that
was  identical  to  the type  of trucks  that
were originally hauling  material from the
site. The  captive truck was half-loaded to
represent  the average of a loaded and an
unloaded condition.
Time History of the Project
  The field  sampling  portion of the  pro-
gram spanned from the end of May  until
mid-September 1994.  The long time span
was  the result of many delays caused by
the weather. There were consecutive days
when no sampling activity occurred. Dur-
ing those days, there was either no haul-
ing activity at the site  or it had rained the
evening before. This prevented any trucks
from entering the site  and also prevented
surface samples from  being taken.
  The sampling program was also affected
by the trucks' originally leaving the  site
going south  and later began  exiting to the
north.  This  change in direction  caused
problems in  maintaining a constant flow of
traffic from the test site  over the  south-
bound lanes of Elmwood. Also,  because
of interference from a power pole, trucks
exiting north from the construction  site
were forced  to swing into the southbound
lane,  thereby impacting  the silt  loading
background  area.
  Traffic into and  out of the site slowed
after the earthmoving activities were largely
completed and concrete  pouring for the
dam had not yet begun. Therefore, supple-
mental "captive" traffic was generated by
hiring a truck and driver to drive into  and
out of the test site for the remaining  por-
tion of the field sampling program; i.e., the
evaluation of the gravel buffer.

Data Analysis/Results
  The silt loading data were plotted as a
function of distance from the site access
point. Because earlier studies found a rapid
decrease in  silt loading with  distance, the
data were plotted  on  a semi-logarithmic
graph. The data were  grouped by control
technology  (e.g., uncontrolled, woodchip/
mulch) to construct a  single  plot for each
control. The data were then regressed for
each lane and for each  control method.
The  uncontrolled silt loadings did not ex-
hibit  any discernible trend to increase  with
time. This is probably due to the fact that,
because of the steep slope of the access
road, no truck haulage occurred for 1  or 2
days after rainfall. Thus, at the study  site,
precipitation  did not enhance  carryout onto
Elmwood, but rather rainfall  at  least  par-
tially cleaned the road  surface. The trucks
were diverted to haul  from other sites in
the area during these  periods.
  The area under the  silt loading distribu-
tion  curve   was determined  using  the
trapezoidal  rule for each  sampling event.
When the resulting area  was  divided by
500 ft, the average silt loading (sL)  was
found. The average silt loadings measured
for the uncontrolled condition ranged from
2.6 to 8.9 g/m2 for the "A" lane and from
1.0 to  5.8 g/m2 for the  "B"  lane. These
ranges correspond  approximately to the
upper 20th-percentile of the silt loading
data base  presented  in AP-42.  Thus,
carryout clearly resulted in heavy silt load-
ings on Elmwood Avenue. In addition, the
curb or "A" lane was roughly twice  as
heavily loaded as  the other southbound
lane ("B"). This was expected because
the loaded trucks tended to  travel almost
exclusively in the "A" lane in preparing to
turn west onto Blue Parkway.
  Because  of problems  encountered in
defining an appropriate "background value"
of silt loading  (as a result of the impacts
of construction vehicles occasionally exit-
ing to the north on Elmwood), the control
efficiency  of reduction in sL (presented in
Table 1) is in terms of a  range between a
lower bound and an upper bound. The
lower bound was obtained by assuming a
background  value of zero for silt loading.
The upper bound was obtained by sub-
tracting  the relatively  high  background
value  of  0.5 g/m2.  This high background
value  was determined from an average
daily traffic value of 10,000 using the rela-
tionship between  silt loading  and  traffic
volume.
  The overall  control efficiency for street
sweeping was  found to be 19 and 27% for
the "A" and "B" lanes^respectively, based
on  the reduction in ~sL  Street  sweeping
was found to  be much more effective in
reducing  total  surface  loadings. Part of
the poor performance for removal  of silt
loading can  be attributed to  the abrasion
of coarse material  left  on  the roadway
after sweeping; i.e., the  sweeper gener-
ated additional material in the silt fraction
by  breaking large   particles  into smaller
ones.  In  addition, the same sweeper  al-
ready was being used to control carryout
from construction sites in the immediate
vicinity.
  The  woodchip/mulch buffer proved to
be more effective than the street sweeper
in reducing average silt loading. Over the
two sampling events, an  average control
efficiency  of 33 to  37% for  the "A" lane
and 49 to 64% for the "B"  lane was found
for  the woodchip/mulch  buffer.  This con-
trol measure is of  considerable interest
because  it represents a "real world"  solu-
tion to the problems of carryout in that the
contractor constructed a buffer from waste
material collected on-site. This resulted in
a far more cost-effective (i.e., reduction in
silt loading per unit cost) control than street
sweeping.
  An  important potential  drawback was
observed  during the use of woodchip/

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Table 1. Silt Loading Control Efficiencies


Control
A Lane
               B Lane
                             Both Lanes
                                                  (lower limit/upper limit)
Street sweeping
Woodchip/mulch application
Gravel application
19/22%
33/37%
56/64%
21/27%
49/64%
58/76%
20/24%
38/46%
57/68%
mulch. Because woodchip/mulch is soft
and  easily compressed by vehicles, the
weight of a passing  vehicle will displace
the air contained in the buffer. This  effect
caused substantial fugitive dust clouds that
could  be  seen when a vehicle traveled
over the  buffer. Although the  buffer was
effective in controlling the carryout of ma-
terials  from the  site,  on-site reentrained
fugitive dust vehicular emissions may have
increased  due to the  woodchip/mulch
buffer.
  The  gravel buffer was found to be the
most effective control studied in this re-
port, reducing  average silt loadings  by 56
to 64% in the  "A" lane and 58 to 76% in
the  "B"  lane.  In  addition,  unlike the
woodchip/mulch material, the gravel buffer
probably  reduced on-site reentrained fugi-
tive  dust  vehicle emissions by covering
the travel surfaces with a coarser mate-
rial.

Quality Assurance (QA) Results
  Eight sets of co-located surface samples
were collected (using the "embedded" sam-
pling approach) and  analyzed. The  regu-
lar and the QA samples yielded compa-
rable results for total loading, silt loading,
and  overall silt content (as determined by
dividing the total loading by the silt load-
ing). The silt loading range percent values
fell well  within the +50%  guideline  set
forth in the test plan, with an overall  mean
of 17% in absolute value  of  range per-
cent.
  A  total  of 24 QA samples were obtained
by riffle splitting  of field samples of road
surface loading.  Each  subsample  was
 taken through sieve analysis. The QA sta-
 tistic (relative value,  RV) for 17 of the 24
 pairs  (71%) fell within the +0.05 guideline
 established in the test plan, with  an absolute
 maximum of 0.154 for Sample 2-B-R-593 (i.e.,
 having a "regular" silt  content  of 10.5% con-
 trasted with a QA value of 9.3%). In  gen-
 eral,  larger  absolute values  of  the QA
 statistic are associated with lower silt frac-
 tions.

 Conclusions
    The testing and evaluation program that
 was conducted led to several conclusions.

    • A broad  range of paved  road silt load-
     ings were measured near  the  con-
     struction  site access point under the
     uncontrolled condition and each con-
     trolled condition, but no condition ex-
     hibited clearly discernible time trends.
     In other words,  silt  loadings did not
     tend to increase with time. This may
     be the result of rainfall partially clean-
     ing the surface between  different sam-
     pling events and largely reducing ac-
     cess road traffic until the steep slope
     had dried. Once access point traffic
     was  restored  to  its normal  level,
     reentrainment and   displacement  to
     nontraveled parts of the  road  (i.e.,
     curb) offset the additional loading from
     carryout so that a new "equilibrium"
     was established.
    • Street sweeping was found to be only
     marginally effective (approximately
     20%) in lowering average  paved road
     silt loading values in carryout areas.
In general,  total  loadings  were  re-
duced  far more effectively, but the
street  sweeper  appears  to  have
abraded the remaining material, thus
"creating"  additional  material  in the
silt fraction.
The  6- to 12-in.  layer of woodchip/
mulch  was  moderately  effective  in
controlling  carryout,  with average
paved road silt loadings being reduced
38 to 46%. This control measure was
implemented by the construction con-
tractor at the request  of Kansas City
officials.   Furthermore, the  control
made use of material  that was avail-
able on-site  at no cost. Although the
woodchip/mulch  buffer was  moder-
ately  effective in controlling  off-site
emissions, it was noted that this buffer
may have increased  on-site PM-10
emissions. The buffer was fairly "soft"
and was readily compressed by ve-
hicles traveling over it. This compres-
sion  displaced the trapped  air, and
puffs of fugitive dust were observed.
The 6-in. layer of gravel was found to
reduce average paved road silt load-
ings  by 57 to 68%. This was the high-
est efficiency  found   in the present
study.  Unlike the other buffer mate-
rial, gravel formed a far stronger sur-
face that did not yield under vehicular
traffic, and no on-site increase in fugi-
tive dust emissions was noted.
Based  on these measured reductions
in silt loading  and using the PM-10
emission equation, the following cal-
culated  PM-10 reductions would  re-
sult:  street  sweeping  would  reduce
PM-10 by approximately  14%; treat-
ment  of  the  access  area  with
woodchips/mulch  would  moderately
reduce  PM-10 by 27 to 33%; the
gravel buffer would result in the larg-
est reduction of PM-10, by 42 to 52%;
and the PM-10 control  efficiencies are
somewhat lower than  the silt loading
reductions, because of the 0.65 power
on silt loading  in the PM-10 emission
equation.

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   Michael M. Raile is with Midwest Research Institute, Kansas City,  MO 64111.
   Charles C. Masser is the EPA Project Officer (see below).
   The complete report, entitled "Characterization of Mud/Dirt Carryout onto Paved
     Roads from Construction and Demolition Activities," (Order No. PB96-129028;
     Cost: $28.00, subject to change) will be available only from:
           National Technical Information Service
           5285 Port Royal Road
           Springfield, VA 22161
           Telephone: 703-487-4650
   The EPA Project Officer can be contacted at:
           Air Pollution Prevention and Control Division
           National Risk Management Research Laboratory
           U.S. Environmental Protection Agency
           Research Triangle Park, NC 27711
United States
Environmental Protection Agency
National Risk Management Research Laboratory (G-72)
Cincinnati, OH 45268

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