&EPA
             United States
             Environmental Protection
             Agency
            Office of Air Quality
            Planning and Standards
            Research Triangle Park NC 27711
EPA-450/4-83-006
March 1983
            Air
Section 7.5, Iron
And Steel
Production

An AP-42 Update pf
Open Source Fugitive
Dust Emissions

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                               EPA-450/4-83-006
        Section 7.5,  Iron
     And Steel Production

   An AP-42  Update  Of  Open
Source  Fugitive Dust Emissions
                   By

             Midwest Research Institute
              Kansas City, Missouri
             Contract No. 68-02-3177
          EPA Project Officer: Frank M. Noonan
                 Prepared For

       U.S. ENVIRONMENTAL PROTECTION AGENCY
           Office of Air, Noise and Radiation
        Office of Air Quality Planning and Standards
           Research Triangle Park.. NC 27711

                 March 1983

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This  report  has been reviewed  by  the Office of Air  Quality  Planning and
Standards, U.S.  Environmental Protection Agency, and approved for publica-
tion  as  received from Midwest  Research  Institute,  Kansas City,  Missouri.
Approval  does  not signify that  the  contents necessarily  reflect  the views
and policies of  the  U.S.  Environmental  Protection Agency,  neither does men-
tion  of trade  names  or commercial  products  constitute endorsement or recom-
mendation  for  use.

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                                 CONTENTS
1.0  Introduction	
2.0  Methodology for Identification of Candidate Emission Factors.
          2.1  Literature search 	
          2.2  Screening criteria	
          2.3  Final selection 	
3.0  Emission Factor Quality Rating Scheme   	
          3.1  Rating of test data 	
          3.2  Rating of emission factors	
4.0  Candidate Emission Factors	
          4.1  Test report 1 (1978)	
          4.2  Test report 2 (1979)	
5.0  Emission Factors Recommended for AP-42	
          5.1  Criteria for recommendations	
          5.2  Recommendations 	
          5.3  Emission factor applicability 	
References
 1
 3
 3
 3
 3
 5
 5
 5
 9
 9
12
15
15
15
17

18
                                      11

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                             1.0  INTRODUCTION


     In assessment  and  control  of air pollution, there is a critical need
for reliable and consistent data on the quantity and characteristics of emis-
sions from  the  numerous  sources  that  contribute  to  the problem.  The  large
number of  individual  sources  and the diversity  of  source types make  con-
ducting field measurements  of emissions impractical source by source, at
each point  of  release.   The only feasible method of determining pollutant
emissions  for a given community or area is to make general  emission esti-
mates typical of each of the source types.

     Calculation of the estimated emission rate for a given source requires
data on source extent, uncontrolled emission factor and control  efficiency.
The mathematical expression for this calculation is as follows:

          R = Me (1 - c)                                              (1)

where     R = mass emission rate

          M = source extent

          e = uncontrolled emission factor, i.e., rate of uncontrolled
                emissions per unit of source extent

          c = fractional efficiency of control

The emission  factor is  an  estimate  of the  rate at which a pollutant  is re-
leased to the atmosphere divided by the level  of source activity.

     The document  "Compilation  of Air Pollutant  Emission Factors" (AP-42),
published  by  the U.S. Environmental  Protection Agency  (EPA) since 1972,  is
a compilation of emission  factor reports for  the most  significant emission
source categories.   Supplements  to  AP-42 have been published for both new
emission source categories  and  for  updating existing emission source  cate-
gories, as  more information about sources  and control  of emissions has be-
come available.

     Because the national effort to control industrial  sources of pollution
has focused  on  discharge from stacks, ducts or flues,  most of the emission
factors reported in AP-42  apply  to  ducted  emission  sources.   Recently how-
ever, evidence  has  mounted which indicates that  fugitive (nonducted)  emis-
sions contribute substantially  to the impact of industrial  operations and
in some industries may be greater than the stack emissions.   This points  to
the need for  emission factors which are applicable to fugitive emissions.

     Industrial  sources  of  fugitive particulate emissions may be divided
into two classes—process  sources  and open dust sources.   Process sources
are fully or partially enclosed operations that alter the chemical or phys-
ical properties of a feed material.   Examples of process sources are crush-
ers, sintering machines, and metallurgical  furnaces.  Open dust sources are
those that  entail  generation  of  emissions  of  solid  particles  by the  forces

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of wind and  machinery  acting on exposed materials.   Open dust sources in-
clude open transport,  storage  and transfer of raw intermediate and waste
aggregate materials.

     Emission  factors  for sources of primary particulate  emissions  have
been compiled  in  AP-42.   However, only a  small  portion  of these values
apply to either process  fugitive emissions or open dust sources.   Section
11.2 of  AP-42 currently provides open  dust  source emission factors  for
paved and  unpaved  roads,  agricultural tilling, aggregate storage piles and
heavy construction operations.

     Because of the recognized importance of open dust sources, largely de-
termined from recent receptor-oriented investigations of source culpability..
the rate of test data accumulation for these sources has increased substan-
tially.   For this reason most of the emission factors reported in AP-42 for
open dust sources are in serious need of updating.

     The purpose  of  this  report is to  present  background  information in
support of a revised AP-42 Section 7.5,  Iron and Steel  Production incor-
porating emission  factors  for  open  dust sources.   This report  is organized
by section as follows:

     Section 2 - Methodology for identification of candidate emission factors

     Section 3 - Emission factor quality rating scheme.

     Section 4 - Candidate emission factors.

     Section 5 - Emission factors recommended for AP-42.

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                    2.0  METHODOLOGY FOR IDENTIFICATION
                       OF CANDIDATE EMISSION FACTORS


2.1  Literature Search

     The first  step  in the identification of  candidate  open dust source
emission factors for Section 7.5  was a search of the published literature.
The literature  search  was begun by a  review  of  MRI's  in-house  library  of
documents relating to  fugitive  dust emissions  and emission  factor  develop-
ment.   A supplemental computerized literature search was performed to verify
that all pertinent documentation was indeed maintained at MRI.  The search,
performed by EPA Library Services, examined Chemical Abstracts,  Engineering
Index,  Environmental Abstracts,  and National  Technical  Information Service
files.

2.2  Screening Criteria

     In  order  to  reduce the amount of  literature which  dealt in  some way
with  fugitive  dust  emissions  in the iron  and  steel  industry to a final
group  of references pertinent  to  this  update,  five criteria were used:

     1.   The  information  in  the reference document must deal with actual
          emission  factor development.   Many  documents  discuss emission
          factors but do not derive them.

     2.   Source  testing  must  be  part of the  referenced  study.  Some
          reports develop emission factors by applying assumptions to exis-
          ting factors.

     3.   The  referenced  study  must deal with open dust source emissions.
          Process  fugitive emissions  such as crushing,  screening,  and
          grinding are not pertinent to this investigation.

     4.   The  document  must  constitute the original source  of  test  data.
          For  example,  a  convention or  symposium paper was  not  included  if
          the  original  study was already contained  in  a  previous  document.

     5.   The  results  of  the referenced study  must  not be presently  incor-
          porated in AP-42.  The purpose of this study is to recommend  up-
          dating AP-42  with  research  results  not previously contained  in
          AP-42.  If possible,  however, new test data  are  to be  combined
          with previous data  (used to  develop the  current  AP-42  emission
          factor) in deriving an updated emission factor.

2.3  Final  Selection

     A  final  set  of  reference materials was  collected after scrutinizing
all possible  reports,  documents, and information with the   four criteria
stated  above.   Table 1  lists the final  set of  primary  reference documents.
This set of documents will be reviewed with the  criteria stated in Section 3
to determine the candidate emission factors listed in Section 4.

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                  TABLE 1.  PRIMARY LIST OF TEST REPORTS
1.    R.  Bohn, et al.,  Fugitive Emissions from Integrated Iron and Steel Plants,
     EPA-600/2-78-050, U.S. Environmental Protection Agency, Research Triangle
     Park, North Carolina, March 1978.

2.    C.  Cowherd, et al.,  Iron and Steel Plant Open Source Fugitive Emission
     Evaluation, EPA-600/2-79-103, U.S. Environmental Protection Agency,
     Research Triangle Park, North Carolina, May 1979.

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               3.0  EMISSION FACTOR QUALITY RATING SCHEME


     In selecting  candidate  open dust sources emission factors for inclu-
sion in AP-42,  the principal  consideration  centered  around the reliability
of each factor being considered in relation to the reliability factors cur-
rently reported  in AP-42 for the same source.  This section describes the
emission factor  quality  rating  scheme  used  in this study.  It  is a refine-
ment of the  revised rating model developed by EPA for AP-42 emission fac-
tors, as described in  Reference 3.   The scheme entails the rating of test
data quality  followed  by the rating of  the emission factor(s) developed
from that test data.

3.1  Rating of Test Data

     Test  data  that were  developed  from well documented, sound method-
ologies were  assigned  an A rating.  Data generated  by a  methodology  that
was  generally sound but  either  did  not meet a minimum test system require-
ment or lacked  enough  detail for adequate  validation received a B rating.

     In evaluating whether an upwind-downwind sampling strategy qualified
as a sound methodology, the following  minimum test system requirements were
used.  At  least five particulate measuring  devices must be operated during
a  test, with  one device  located upwind and  the others  located  at two  down-
wind and three  crosswind distances.    The requirements of measurements at
crosswind  distances  is waived for the  case  of line sources.  Also wind di-
rection and speed  must be  recorded concurrently on-site.

     The minimum requirements for a sound  exposure profiling program were
the  following.   A  vertical line  grid of  at  least three samplers is suffici-
ent  for measurement of emissions from  line  or moving point sources while a
two-dimensional  array  of at least five  samplers is  required for quantifi-
cation of  fixed virtual  point source emissions.    At least one upwind sam-
pler must  be  operated  to  measure background  concentration, and wind speed
must be measured concurrently on-site.

     Neither  the upwind-downwind nor  the exposure profiling method can be
expected to  produce A-rated emissions data when  applied  to  large, poorly
defined area  sources,  or under  very  light and variable wind flow conditions.
In  these situations, data  ratings based on  degree  of compliance with  mini-
mum  test system  requirements were reduced one letter.

3.2  Rating of  Emission  Factors

     After the  test data supporting  a  particular single-valued emission fac-
tor were evaluated, the  criteria  presented  in Table  2 were used to assign a
quality rating  to  the  resulting  emission factor.  These criteria were devel-
oped to provide  objective  definition for:   (a)  industry representativeness;
and  (b) levels  of variability within the data set for the source  category.
The  rating system obviously does not include estimates  of statistical con-
fidence, nor  does  it reflect  the  expected accuracy of fugitive dust emission

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factors relative to conventional  stack  emission factors.   It does however
serve as a useful  tool  for evaluation of the quality of a given set of emis-
sion factors relative  to the entire available fugitive dust emission factor
data base.


    TABLE 2.  QUALITY  RATING SCHEME FOR  SINGLE-VALUED EMISSION FACTORS
Code
1
2
3
4
5
6
7
8
9
No. of
test sites
> 3
> 3
2
2
-
-
1
1
I
No. of
tests
per site
> 3
> 3
> 2
> 2
-
-
2
2
1
Total
No. of
tests
-
-
> 5
> 5
> 3
> 3
2
2
1
Test data
variability
< F2
> F2
< F2
> F2
< F2
> F2
< F2
> F2
-
Adjustment
for EF,
rating
0
-1
-1
-2
-2
— 3
-3
-4
-4
a  Data spread in relation to central value.   F2 denotes factor of two.

   Difference between emission factor rating and test data rating.


     Minimum industry representativeness  is  defined in terms of number of
test sites  and number of  tests per site.  These criteria were  derived from
two principles:

     1.  Traditionally, three  tests  of a source represent the minimum re-
quirement for reliable quantification.

     2.  More than  two  plant sites are needed to provide minimum industry
representativeness.

     The level  of variability within an emission factor data set was defined
in terms of  the  spread  of the original emission factor data values about
the mean or median single-valued factor for the source category.   The fairly
rigorous criterion  that all  data points must  lie within a factor  of two of

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the central value was adopted.  It is recognized that this criterion is not
insensitive to sample size in that for a sufficiently large test series, at
least one  value  may be expected to fall outside the factor-of-two limits.
However, this is not considered to be a problem because most of the current
single-valued  factors  for fugitive dust sources are  based on relatively
small sample sizes.

     Development of  quality  ratings  for  emission factor equations  also  re-
quired  consideration of  data representativeness and variability, as in  the
case of  single-valued  emission  factors.  However,  the criteria used to  as-
sign ratings  (Table  3)  were  different,  reflecting the more sophisticated
model being  used to represent the test data.  As a general principle,  the
quality-rating for a given equation should lie between the test data rating
and  the rating assigned to  the corresponding  single-valued  factor.   The
following criteria were established for an emission factor equation to  have
the same rating  as the supporting test data:

     1.    At least three test sites and three tests per site,  plus an  addi-
          tional three  tests for  each independent parameter  in the equa-
          tion.

     2.    Quantitative indication that a significant portion of the emission
          factor variation is attributable to  the  independent parameter(s)
          in the equation.

     Loss of  quality rating  in  the translation of  test data to an  emission
factor  equation  occurs  when  these criteria are not met.   In practice,  the
first criterion  was  far more influential than the second one  in  rating an
emission factor  equation, because development of an equation implies that a
substantial portion  of  the emission  factor variaton is attributable to  the
independent parameter(s).  As indicated  in Table 3, the rating was reduced
by one  level below the test  data rating if the number of tests did not  meet
the  first  criterion,  but was at least three times greater than the number
of independent  parameters  in the  equation.   The rating was reduced two  le-
vels if this supplementary criterion was not met.

     The rationale  for  the  supplementary criterion follows from the fact
that the likelihood of including "spurious" relationships between the  depen-
dent variable  (emissions)  and the independent parameters  in  the equation
increases as  the ratio  of number of independent parameters to sample  size
increases.    For  example, a  four  parameter  equation  based on five tests
would exhibit perfect explanation (R2=1.0) of the emission factor data, but
the  relationships  contained  in  such  an  equation cannot be  expected to  hold
true in independent applications.

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     TABLE 3.   QUALITY RATING SCHEME FOR EMISSION FACTOR EQUATIONS


           No.  of           No.  of         Total No.        Adjustment ,
Code     test sites     tests per site     of tests      for EF rating


  I          >  3              >  3          > (9 + 3P)          0

  2          >  2              >  3              > 3P           -1

  3          >  1               -               < 3P           -2


   P denotes number of correction parameters in emission factor equa-
   tion.

   Difference between emission factor rating and test data rating.
                                 8

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                     4.0  CANDIDATE EMISSION FACTORS
    _     following  sections  discuss  the test reports applicable to AP-42
Section 7.5.   For  each report, the method of field sampling is described,
including sampling  equipment  employed and the number and location of test
sites.   A quality  rating is assigned to the test data based on the rating
scheme described in Section 3.  An A rating denotes that the test data were
developed from  well  documented,  sound methodologies.   Data generated by a
generally sound  methodology  which either does not meet  the  minimum test
system requirements or lacks enough detail for adequate validation receives
a B rating.   Also  as  part  of  good documentation, the  source tested must be
specifically  described as  to  physical operation, mechanical  equipment em-
ployed, and material of concern.

     After presentation of the emission factor(s) from each test report, an
explanation is  given  for the emission factor quality ratings assigned ac-
cording to  the  rating  schemes  described  in Section 3.  This is done by  in-
dicating the code from Table 2 or Table 3, as appropriate.

     Unless otherwise  noted,  emission factors expressed in units of  Ib/T
denote quantity of emissions per quantity of material  transferred in a par-
ticular operation.

4.1  Test Report 1 (1978)

     The field  testing for this  study was done at two different  integrated
iron and steel plants, one in the west (Plant 1)  and one in the east (Plant 2)
Table 4 shows which open dust  sources were sampled and how many  tests were
performed at  each  plant.   Testing was confined  to days  with  dry weather
(three or more  days after  rainfall over  0.5-in.) and  consistent wind  speed
and direction.

     Exposure profiling was used  in all  of these tests.  Cascade impactors
with cyclone  preseparators were  used  for  particle sizing.  Other equipment
utilized were:  (a) high-volume air samplers for  determining upwind partic-
ulate concentrations;  (b)  dustfall  buckets  for determining downwind  par-
ti cul ate deposition;  and (c)  recording wind  instruments  employed to deter-
mine mean wind  speed  and direction for adjusting the exposure profiler to
isokinetic sampling conditions.

     The exposure  profiling  system employed in this  study consisted  of a
6-meter vertical  tower (located  within 5-meters downwind  of  the source)
with a crossbeam to support sampling  intakes  and anenometers.  In sampling
emissions from a front-end loader dumping into a  truck, a 5-meter crossbeam
was used and a total of six air samplers were operated.   To sample emissions
from a mobile stacker,  the tower with a  3-meter crossbeam and a total  of
six air samplers  was  towed at a  speed  matching  that  of the stacker arm.
The vertical  tower alone  with four  sampling  intakes  at equally spaced
heights was employed  in  tests of vehicle traffic on roadways.  Background
concentration was  measured  at one site upwind for each test.   This system
meets the minimum requirements as set forth in Section 3.1.

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            TABLE  4.   IRON  AND  STEEL SOURCE TESTING INFORMATION
                        (Test  Report 1)
Operation
Batch-drop

Continuous-
drop


Vehicle traffic

Equipment
Front-end loader/
truck

Mobile stacker


Transfer station
Heavy-duty
vehicles
Average vehicle
mix
Material
High silt pro-
cessed slag
Low silt pro-
cessed slag
Pell eti zed
iron ore
Lump ore
Sinter
Unpaved roads
(dirt, fine slag)
Paved roads
Site
Plant 1
Plant 1
Plant 1

Plant 1
Plant 2
Plant 1
Plant 2
Plant 2
Test
date
4/77
4/77
4/77

4/77
6/77
4/77
6/77
6/77
No. of
tests
3
3
2

3
3
2
3
2
 10 cu yd bucket and 35-ton truck.

 This can be defined as the typical  mix of vehicle type used at integrated
   iron and steel plants.
     The emission rates were  determined  by spacial integration (over the
cross section of  the  plume)  of measurements of exposure (mass of  particu-
lates collected divided by the area of air sampling intake) and then divid-
ing by  the sampling time.  The results of each test series were arithmeti-
cally averaged to determine a single-valued emission factor for each defined
operation.   For all sources except the conveyor transfer station, the test
data were collected using  a  well-documented sound methodology and,  there-
fore, are rated A. The test data for the  conveyor transfer station are rated
B because of the light winds  encountered  during testing.

     Table 5 presents  the average emission factors determined, the range of
conditions tested, and the quality ratings assigned.   The rating codes refer
to Table 2.
                                   10

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            TABLE 5.   IRON AND STEEL EMISSION FACTORS, RANGE  OF TEST  CONDITIONS, AND RATINGS
                           (Test  Report 1)

Range of conditions
Material /equipment/
operation
High silt slag batch-drop0
Low silt slag batch-drop
Ore pile stacking
pellets
Lump ore
Conveyor transfer
station (sinter)^
Unpaved road .
Heavy-duty vehicles
Paved road (average
vehicle mix)
No. of Silt
tests (%)
3 7.3
3 3.0
2 4.8
3 2.8-19.1
3 0.7
5 4.8-8.7
2 5.1
Wind
Moisture speed
(X) (nph)
0.25 2.2-4.2
0.30 1.3-3.1
0.64 2.3-4.5
2.0-4.3 1.8-2.2
c 1.0 Calm
4-9
Calm-4

Vehicle Vehicle
speed weight
(mph) (tons)
NA
NA
NA
NA
NA
14-30
12
NA
NA
NA
NA
NA
23-70
7-8
Suspended Fine
particulate particulate
emission emission
factor factor
0.048 Ib/T 0.014 Ib/T
0.017 Ib/T 0.0052 Ib/T
0.0070 Ib/T 0.0024 Ib/T
0.00070 Ib/T 0.00020 lb/1
0.046 Ib/T 0.017 Ib/T
21.6 Ib/VHT 8.6 Ib/VMT
0.95 Ib/VMT 0.49 Ib/VMl
Rating
code Rating
5 C
5 C
7 0
5 C
5 0
3 B
7 D

NA = Not appl icable.
a Particles < 30 pro Stokes
Particles < 5 pm Stokes
- = Information
diameter.
diameter.
C Emission factors are arithmetic mean of test
Emission factors are arithmetic mean of test
Emission factors are arithmetic mean of test


not contained in test report.


runs Al, A2 and A3
runs A4 , A5 and A6


from page
from page


3-23, Table
3-23, Table
runs A8 and A10 from page 3-23, Table 3-8


lano 1-71 Ta


3-8 of test report.
3-8 of test report.
of test report.







9  Emission factors are  arithmetic mean of  test runs  E10, Ell and E12 from  page 3-23, Table 3-8 of test report.

   Emission factors are  arithmetic mean of  test runs  A14, A15,  El, E2 and E3 from page 3-22,  Table 3-7 of  test report

   Emission factors are  arithmetic mean of  test runs  E7 and E8 from page 3-22, Table  3-7 of test report.

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4.2  Test Report 2 (1979)

     This study involved testing at three different integrated iron and steel
plants.   Sources  tested were vehicular traffic on  unpaved roads, vehicular
traffic on paved  roads, and storage pile  stacking.  Table 6  summarizes  the
testing performed  for this study.  The testing and calculation methodology
was the same as that employed in Test Report 1; therefore the test data are
rated A.

     Table 7 shows the average emission factors developed, the range of con-
ditions tested, and  the assigned quality ratings.  The rating codes refer
to Table 2.
            TABLE 6.  IRON AND STEEL SOURCE TESTING  INFORMATION
                        (Test Report 2)
 Operation
                     Equipment
    Material
 Site
Test
date
No.  of
 tests
Continuous-
drop


Vehicle traffic
                Mobile stacker
                Light-duty
                vehicles
                Medium-duty
                vehicles

                Average vehicle
                  mix
Iron pellets

Coal

Unpaved roads
(dirt/crushed
slag)

Unpaved roads
(crushed slag)

Paved road
Plant 3   6/78      3

Plant 1   7/78      1

Plant 1   8/78      3



Plant 2   8/78      6


Plant 3   7/78      6
                                    12

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CO
                  TABLE 7.    IRON AND STEEL  EMISSION FACTORS, RANGE OF TEST CONDITIONS,  AND RATINGS
                                 (Test Report  2)



No. of Silt Moisture
Operation tests (%) (%)
Storage pile
stacking
Iron pel let
Coald
Unpaved road
Light duty6
Medium duty
Paved road
(average vehicle
mix)
3 1.4-1.8 2.6-3.5
1 5.9 4.8
3 9.0
6 4.3-5.3
6 6.8-13.2

Range of conditions Suspended Fine
Wind Vehicle Vehicle participate particulate
speed speed weight No. of emission emissiog
(mph) (mph) (tons) wheels factor factor
1.5-6.0 NA NA NA 0.0025 Ib/T 0.00056 Ib/T
3.0 NA NA NA 0.00014 Ib/T 0.000011 Ib/T
2.2-3.2 15 3-4 4 2.3 Ib/VMT 0.76 Ib/VMT
4.1-12.1 22-29 8-30 6-13 9.1 Ib/VMT 2.1 Ib/VMT
1.4-3.9 - 5-13 - 0.94 Ib/VMT 0.25 Ib/VMT

Rating
code Rating
5 C
9 E
5 C
5 C
4 C


NA = Not appl icable.
- = Information not

contained in test report.




a Particles < 30 urn Stokes diameter.
Particles < 5 urn
c Emission factors
Emission factors
Emission factors

Stokes diameter.
are arithmetic mean of test
are from page 58, Table 3-17
are arithmetic mean of test


runs H10, Hll and H12 from page 58, Table 3-17 of test report.
of test report.
runs F21, F22 and F23 from page 42, Table 3-7 of test report.
rune C77 Hirnnnh C.17 frnm nano A 7 Tahlp 1-7 nf to<;t rpnnrt





          Emission factors are  arithmetic mean of test runs F13 through F18 from page 50, Table 3-12 of  test report.

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                5.0  EMISSION FACTORS RECOMMENDED FOR AP-42


     Presented below are  recommendations  for updating the AP-42 sections
for which  new emission  factor data are available as  reviewed in Section 4.

5.1  Criteria for Recommendations

     Three criteria form  the  basis  for recommending addition of emission
factors to AP-42:

     1.   Emission factors are  available  for sources for which no  factors
          are currently reported in  AP-42.

     2.   For sources that have  factors currently reported in AP-42, addi-
          tional  factors  of equal or higher quality rating are available.

     3.   When more than one emission factor of comparable rating are avail-
          able for a given open dust source, they are combined,  i.e., either
          averaged to form a new single valued emission  factor or added to
          the data base supporting an updated emission factor equation.   If
          the ratings  of available factors (including those already contained
          in AP-42) differ by more than one level,  then the factor  (or fac-
          tors)  with the highest quality rating is  the one that is  recommended

     In recommending emission factors for open dust  sources, consideration
must be given to particle size.   Equivalent aerodynamic diameter has become
the standard for  characterizing  the  effects of particulate air pollution.
Therefore, aerodynamic  particle  diameter  will  be used to characterize the
recommended size specific emission factors.

5.2  Recommendations

     Since no open dust sources emission factors are presented in AP-42 for
integrated iron and steel plants, it is recommended  that all the candidate
factors given in  Test  Reports  1 and 2 be incorporated into AP-42.    These
factors are  summarized  in Table 8.   There is no overlap in the source ap-
plicability of these factors.

     Because the emission factors in Test Reports 1 and 2 were presented by
particle  size category  defined  by Stokes diameter, the following procedure
was employed to obtain  emission  factors in  Table 8 for particle size cate-
gories defined by aerodynamic diameter.

          1.   The particle sizing  data  contained  in the  test  report was
               fitted to  a  log-normal  curve.  This data usually consisted
               of  percentages  by weight  of particulates smaller than  a
               given particle  size   expressed  in Stokes  diameter.    These
               Stokes  diameters  were converted  to  aerodynamic diameters
               through  multiplication by  the square root  of the particle
               density  before  fitting the  data to  a  log-normal  curve.
                                   15

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                              TABLE  8.   IRON AND  STEEL EMISSION  FACTORS  (Test  Reports  1 and  2)
Emission factor by particle size
Operation
Continuous-drop





Batch-drop


—i Vehicle travel on
0-1 unpaved roads

Vehicle travel on
paved roads
Source
(material )
Conveyor transfer station
(sinter)
Pile formation - stacker
(pellet ore)
(lump ore)
(coal)
Front-end loader/truck
(high silt slag)
(low silt slag)
Light-duty vehicle
Medium-duty vehicle
Heavy-duty vehicle
Light-heavy (mix) vehicle

< 30
Total TSP (|.im)

0.026

0.0024
0.00030
0.00011

0.026
0.0088
1.8
7.3
14
0.78

< 15
(put)

0.018

0.0015
0.00019
0.000069

0.017
0.0058
1.3
5.2
9.7
0.56

(aerodynamic
< 10
(|jm)

0.013

0.0011
0.00015
0.000052

0.013
0.0043
1.0
4.1
7.6
0.44

diameter)
< 5
(Mm)

0.0084

0.00064
0.000081
0.000029

0.0080
0.0028
0.64
2.5
4.8
0.28

range
< 2.5
(pm)

0.0046

0.00034
0.000043
0.000015

0.0046
0.0016
0.37
1.5
2.7
0.15

Units

Ib/T

Ib/T
Ib/T
Ib/T

Ib/T
Ib/T
Ib/VMT
Ib/VMT
Ib/VMT
Ib/VMT

Test3
report

1
h
1 & 2D
1
2

1
1
2
2
1
1& 2b

Rating

0

B
C
E

C
C
C
C
B
C


- = Unable  to be determined  from information contained in test  report.

a  Test  Reports 1 and 2 presented emission factors for size ranges defined by Stokes diameter.   The  factors have been adjusted to reflect an aerodynamic
   diameter size range using  information contained in the test  reports.  See Section 5.2 for procedure.

   These  factors are the arithmetic mean of the results for Test  Reports 1 and 2.

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          2.    Appropriate data was  obtained  from  the  log-normal  curve  pro-
               duced in Step 1 to  define  the  particulate  mass  fractions  con-
               sisting of particles smaller  than  specific  size cut-offs,
               namely, 30 urn, 15 urn, 10 urn,  5 urn,  and 2.5  urn aerodynamic
               diameter.

          3.    The results of Step  2  (i.e.,  percents  by weight less than
               the specific particle sizes) were divided by the percent by
               weight less than 30  urn  Stokes.   The ratios determined  in
               this  step  could  then be  multiplied by  the  given  emission
               factors to obtain the appropriate  factor  for  each  particle
               size  category.
      v
          4.    Steps 1 through  3 were  repeated for each  test for  which
               particle size data were available.   The average of the mass
               fractions  determined  for  each  particle  size  category  in  Step
               3 was multiplied by  the  appropriate  emission factor for  par-
               ticles smaller than 30 urn Stokes diameter given in the test
               report.

     As an alternative to the single valued open dust  emission factors  given
in Table 8, empirically derived emission factor equations are presented  in
Chapter 11 of  AP-42.   Each equation  was  developed  for  a  source operation de-
fined on the basis of a single dust generating mechanism which crosses  in-
dustry lines,  such  as  vehicle  traffic  on unpaved roads.   The predictive
equation explains much of the observed  variance  in  measured emission factors
by relating emissions to  parameters  which  characterize  source conditions.
These parameters  may  be  grouped into three categories:   (a)  measures  of
source activity or energy expended  (e.g., the  speed  and weight of a  vehicle
traveling on an  unpaved  road);  (b)  properties  of  the  material being dis-
turbed (e.g.,  the content  of suspendible fines  in  the surface material  on
an unpaved road; and (c)  climatic  parameters  (e.g.,  number  of precipitation
free days per  year,  when  emissions  tend  to  a  maximum).   Because the  predic-
tive equations allow for  emission  factor  adjustment to specific source  con-
ditions,  the equations should  be  used  in place  of  the factors in Table 8,
if emission estimates for sources  in a  specific  iron and  steel facility are
needed.

5. 3  Emission  Factor Applicability

     A loss in the reliability (quality rating)  of a single-valued emission
factor occurs  if it is applied to  a source  operation or  material  other  than
the operation  and material that were tested in developing the emission  fac-
tor.   The source operation is defined by the  equipment involved and the pre-
vailing wind  conditions.   The  material  is  defined by  its general  composi-
tion, texture  and moisture level.

     A downgrading of one level in the quality rating  should be made if the
available emission factor is applied to (a) the same operation with a simi-
lar material and  (b) a similar operation with the  same material.   A similar
operation  is  defined as  an operation within  the same  generic source cate-
gory but  with a different type of  equipment  (for example, use of a power


                                     17

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shovel rather than a front-end loader to load coal into trucks).   A similar
material is defined as one with different composition (e.g., limestone ver-
sus coal) but with similar texture.

     Most open dust source emission factors have been developed for dry con-
ditions (e.g., daytime periods with no measurable precipitation).   This al-
lows  for characterization  of worst  case  conditions to  bracket  the  high  end
of the  emissions  range.  The other  extreme  (zero  emissions)  corresponds  to
complete mitigation  resulting  from  natural  and/or anthropogenic controls.

      Most  of  the  temporal  variation in  the  rate  of  emission from  an  open
dust  source (per unit of source extent or activity) is the result of meteo-
rological  factors.   Dust  emissions  are  known to  be  strongly dependent  on
the moisture  level  of the  emitting  material.   In  turn,  temporal variations
in  surface moisture are a function of precipitation and evaporation rates
during  exposure.

      Because  available  emission  factors  are  based on  field  tests generally
performed  with  dry materials,  seasonal  and  annual  emission  factors  may  re-
quire adjustment  to higher moisture values  reflective  of  long-term  average
climatic and  exposure conditions.   In the same manner, adjustments should
be made to  determine  short-term emission factors  for wet materials.

      The generally  higher  quality ratings assigned to the equations presented
in  Chapter 11 of AP-42  are applicable only if (a) reliable values of correc-
tion  parameters  have been  determined for the specific  sources  of interest,
and (b) the correction  parameter values  lie within the ranges  tested in de-
veloping the  equations.  Chapter 11 of  AP-42 lists measured properties of
aggregate  process  materials and road surface materials in the  iron  and  steel
industry,  which can  be  used to estimate  correction parameter values for the
predictive emission  factor equations, in the event that site specific values
are not available.   Use of mean correction parameter values  from Chapter  11
reduces the quality ratings of the emission factor equation by one level.


                                REFERENCES*


1.    R. Bohn, et  al.,  Fugitive Emissions from Integrated  Iron  and Steel  Plants,
      EPA-600/2-78-050,  U.S. Environmental Protection Agency,  Research Triangle
      Park, North  Carolina, March 1978.

2.    C. Cowherd,  et a!.,  Iron  and Steel  Plant Open Source Fugitive  Emission
      Evaluation,  EPA-600/2-79-103,U.S.EnvironmentalProtection  Agency,
      Research Triangle Park,  North  Carolina, May  1979.

3.    Technical  Procedures  for  Developing AP-42  Emission Factors and Preparing
      AP-42 Sections,  U.S.  Environmental  Protection Agency,  Research Triangle
      Park, North  Carolina,  April 1980.
      Note that References  1 and 2 correspond  to  References  3  and 4 of AP-42
      Section 7.5.   Table 8 is equivalent to Table  7.5-1 of  AP-42.

                                      18

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