GCA-TR-77-09-G
             -'I EPA 903/9-77-030
       Emission  Inventory  And  Sulfur  Dioxide  Alternatives

              For  The  Metropolitan  Philadelphia  Region

                                   Final Report
                              Contract  No.  68-02-1376
                                Task Order No. 24
                                    Prepared For
                          U.S. ENVIRONMENTAL PROTECTION AGENCY
                                     Region III
                                  Air Programs Branch
                              Philadelphia, Pennsylvania 19106
                                     August 1977
(I* ."  •"•:•':•;••;'' r/:':-cI-on Agency
I.  .  -,: iivoi-.ielion Resource
C • '  {'^'''.'j'.)
I" :.. >.'..'^ Street
Ph:;^;;J»i3, PA  19107
     EPA Report Collection
  Information Resource Center
      US EPA Region 3
   Philadelphia, PA 19107
               GCA/TECHNOLOGY DIVISION
                             BEDFORD, MASSACHUSETTS 01730

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                                                     EPA 903/9-77-030
EMISSION  INVENTORY  AND  SULFUR DIOXIDE ALTERNATIVES

      FOR  THE METROPOLITAN PHILADELPHIA  REGION
                             by


                       GCA CORPORATION
                   GCA/TECHNOLOGY DIVISION
                       Burlington Road
                Bedford, Massachusetts 01730
               Contract No.  68-02-1376  TO 24
                        Final Report            U~- to&KMtel Profccfcfl /%enej[
                                                h. ,.;•() lii '.formation fieseurca
                                                CD.-,^r (-T'ii5?)         ,  •,
                                                Wl C.-^:^! Street    -• ;''   .«?
                                                Phi^dalpfja, PA  19107  -'  .., ^
                        Prepared for
               Environmental Protection Agency
                         Region III
                    Air Programs Branch
              Philadelphia,  Pennsylvania 19106
                         August 1977

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This Final Report was furnished to the U.S. Environmental Protection Agency by
GCA Corporation, GCA/Technology Division, Bedford, Massachusetts 01730, in ful-
fillment of Contract No. 68-02-1376, Task Order No. 24.   The opinions, findings,
and conclusions expressed are those of the authors and not necessarily those of
the Environmental Protection Agency or of cooperating agencies.  Mention of
company or product names is not to be considered as an endorsement by the En-
vironmental Protection Agency.

                                      ii

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                                ABSTRACT

The Metropolitan Philadelphia Interstate Air Quality Control  Region is
currently not attaining the primary air quality standards for sulfur
dioxide, total suspended particulates, photochemical oxidants and carbon
monoxide.  This contract updates the point source emission inventory for
the region, develops an area emission inventory, and calculates  sulfur
dioxide concentrations for a base year of 1974 and for selected  future
years.  In addition, alternative sulfur in fuel strategies developed by
the cognizant air quality control agencies are modeled to determine their
effect with respect to the attainment and maintenance of ambient sulfur
dioxide air quality standards.
                                XII

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                                CONTENTS







                                                                    Page




Abstract                                                            ±±±




List of Figures                                                     vii




List of Tables                                                      x




Acknowledgments                                                     xiv




Sections




I      Introduction                                                 1




II     The Point Source Emission Inventory                          3




III    Area Emission Inventory                                      11




IV     Model Validation                                             27




V      Calculation of Base Year Air Quality                         42




VI     Projection of Emission Inventory                             70




VII    Calculation of Projected Air Quality                         96




VIII   Conclusions                                                  137




IX     References                                                   142




Appendixes




A      Program Listing and Sample Output of "Extract"               144




B      County Point Source Fuel Usage                               154




C      Program Listing and Sample Output of "ALLO"                  166

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                          CONTENTS (continued)







Appendixes                                                          Page




D      1974 Area Source Forms For Metropolitan Philadelphia AQCR    175




E      Pennsylvania Standards for Contaminants                      187




F      Hourly Model                                                 196
                                VI

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                            LIST OF FIGURES


No.                                                                 Page

1      Location and Emission Rate of all Plants Emitting SO.-,        9

2      Location and Emission Rate of all Plants Emitting
       Particulates                                                 10

3      CAASE 2 Output for Chester County                            19

4      CAASE 3 Output for Chester County                            20

5      Grid System for the Metropolitan Philadelphia AQCR           21

6      SO- Emission Density for the Metropolitan Philadelphia
       AQCR                                                         25

7      Particulate Emission Density for the Metropolitan Philadel-
       phia AQCR (Excluding Fugitive Emissions)                     26

8      SO  Calibration Curve With no Half-Life                      28

9      S0? Calibration Curve With a 3-Hour Half-Life                30

10     TSP Calibration Without Fugitive Dust Sources                33

11     TSP Calibration With Fugitive Dust Sources                   34

12     TSP Calibration of Finalized Inventory With all Monitors     35

13     TSP Calibration of Finalized Inventory  ,'ith Monitors
       Influenced by Fugitive Sources Removed                       38

14     TSP Calibration for the New Jersey Monitors                  39

15     TSP Calibration for the New Castle and Philadelphia
       Monitors                                                     40

16     TSP Calibration for the Pennsylvania and New Castle
       Monitors                                                     41
                                vix

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                       LIST OF FIGURES (continued)
No.                                                                 Page

17     1974 Metropolitan Philadelphia AQCR Ambient SCk Air Quality
       (10 km Receptor Grid)                                        43

18     1974 Metropolitan Philadelphia AQCR Ambient SO  Air Quality
       (5 km Receptor Grid)                                         46

19     Base Year Zones                                              51

20     Ambient S02 Air Quality for 1974 With Zone 1 at 0.5 Percent
       Sulfur, and Zones 2 and 3 at 1.0 Percent Sulfur              52

21     1974 Ambient S02 Air Quality for Zones 1 and 2 at 0.5 Per-
       cent Sulfur, and Zone 3 at 1.0 Percent Sulfur                56

22     1974 Ambient S02 Air Quality for all Zones at 0.5 Percent
       Sulfur                                                       59

23     1974 Ambient S02 Air Quality for all Zones at 1.0 Percent
       Sulfur                                                       62

24a    Frequency Distribution of Hourly S02 Concentration at the
       Glassboro State College Site, Glassboro, New Jersey          67

24b    Frequency Distribution of Hourly S02 Concentration at the
       Ferry Landing Site, Wilmington, Delaware                     68

24c    Frequency Distribution of Hourly S02 Concentration at the
       Franklin Institute Site, Philadelphia, Pennsylvania          69

25     Projected 1978 Ambient SO™ Air Quality                       97

26     Projected 1980 Ambient SO  Air Quality                       98

27     Projected 1990 Ambient S02 Air Quality                       99

28     Projected 2000 Ambient S02 Air Quality                       100

29     Zones for the Projection Years                               110

30     1978 S02 Air Quality With the Inner Zone at 0.5 Percent
       Sulfur                                                       111

31     1978 S02 Air Quality With the Inner Zone at 0.4 Percent
       Sulfur                                                       112
                               viii

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                       LIST OF FIGURES  (continued)
No.                                                                 Page

32     1980 S02 Air Quality With the Inner Zone at 0.5 Percent
       Sulfur                                                       113

33     1980 SO- Air Quality With the Inner Zone at 0.4 Percent
       Sulfur                                                       114

34     1990 SO- Air Quality With the Inner Zone at 0.5 Percent
       Sulfur                                                       115

35     1990 SO  Air Quality With the Inner Zone at 0.4 Percent
       Sulfur                                                       116

36     2000 SO- Air Quality With the Inner Zone at 0.5 Percent
       Sulfur                                                       117

37     2000 SO  Air Quality With the Inner Zone at 0.4 Percent
       Sulfur                                                       118

F-l    Surface Weather Map at 7:00 a.m. EST for January 24, 1975    198

F-2    Determination of Hourly Mixing Heights                       199

F-3a   Measured and Calculated Hourly Concentrations for the AMS
       Lab Site                                                     206

F-3b   Measured and Calculated Hourly Concentrations at the South
       Broad Street Site                                            207

F-3c   Measured and Calculated Hourly Concentrations at the Camp
       Station Site                                                 208

F-4    Surface Weather Map at 7:00 a.m. EST for August 30, 1974     210

F-5a   Measured and Calculated Hourly Concentrations for the
       Southeast Sewer Site                                         214

F-5b   Measured and Calculated Hourly Concentrations for the
       Camp Station Site                                            215

F-5c   Measured and Calculated Hourly Concentrations for the
       AMS Lab Site                                                 216

F-5d   Measured and Calculated Hourly Concentrations for the
       South Broad Street Site                                      217
                                 IX

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                             LIST OF TABLES
No.                                                                  Page
1      Distribution of Emission Points Converted From PAQNEI to
       NEDS Format                                                  3

2      Number of Emission Points and Total Emission for Each
       County                                                       8

3      Average Sulfur and Ash Content of Fuels Burned in Each
       County                                                       13

4      Comparison of AMS and GCA Derived SC>2 Emissions in
       Tons/Year for Selected Categories                            14

5      1974 SO^ Area Source Emissions for Each County in Tons/Year  22

6      1974 TSP Area Source Emissions for Each County in Tons/Year  23

7      1974 HC Area Source Emissions for Each County in Tons/Year   24

8      S02 Calibration Data                                         31

9      TSP Calibration Data                                         36

10     1974 Air Quality Data for the 10 km Receptor Grid            44

11     1974 Air Quality Data for the 5 km Receptor Grid             47

12     Calculated Emissions If Residual Oil W-s Burned by New
       Jersey Plants With Variance to Burn Co.-.l                     50

13     Sulfur in Fuel Strategies                                    50

14     1974 Air Quality Data for Zone 1 at 0.5 Percent Sulfur and
       Zones 2 and 3 at 1.0 Percent Sulfur                          53

15     1974 Air Quality Data for Zones 1 and 2 at 0.5 Percent Sul-
       fur and Zone 3 at 1.0 Percent Sulfur                         57

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                       LIST OF TABLES  (continued)


No.                                                                 Page

16     1974 Air Quality Data for All Zones at 0.5 Percent Sulfur    60

17     1974 Air Quality Data for All Zones at 1.0 Percent Sulfur    63

18     Second Highest 24-Hour Values Utilizing SAROAD Calculated
       Parameters                                                   65

19     Second Highest 24-Hour Value Utilizing GCA's Approximation
       to the Distribution of High S02 Concentrations               66

20     Employment and Population Growth Factors for 1978            72

21     Employment and Population Growth Factors for 1980            73

22     Employment and Population Growth Factors for 1990            74

23     Employment and Population Growth Factors for 2000            75

24     VMT Growth Factors                                           76

25     Power Plant Emission Growth Factors                          77

26     Projected Point Source Emissions in Tons/Yr                  78

27     Projection Parameter for Area Source Categories              79

28     Commercial/Institutional and Aircraft Growth Factors         82

29     Projected Area Emission Inventory                            83

30     Projected Area Emission Inventory by Category For S0~ in
       the Year 1978                                                84

31     Projected Area Emission Inventory by Category for TSP in
       the Year 1978                                                85

32     Projected Area Emission Inventory by Category for HC in
       the Year 1978                                                86

33     Projected Area Emission Inventory by Category for S0« in
       the Year 1980                                                87

34     Projected Area Emission Inventory by Category for TSP in
       the Year 1980                                                88
                                XI

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                        LIST OF TABLES (continued)
No.                                                                 Page

35     Projected Area Emission Inventory by Category for HC in
       the Year 1980                                                89

36     Projected Area Emission Inventory by Category for SO,, in
       the Year 1990                                                90

37     Projected Area Emission Inventory by Category for TSP in
       the Year 1990                                                91

38     Projected Area Emission Inventory by Category for HC in
       the Year 1990                                                92

39     Projected Area Emission Inventory by Category for SO,, in
       the Year 2000                                                93

40     Projected Area Emission Inventory by Category for TSP in
       the Year 2000                                                94

41     Projected Area Emission Inventory by Category for HC in
       the Year 2000                                                95

42     1978 Projected S02 Air Quality Values                        101

43     1980 Projected S02 Air Quality Values                        103

44     1990 Projected S02 Air Quality Values                        105

45     2000 Projected S02 Air Quality Values                        107

46     1978 S02 Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.5 Percent Sulfur                             119

47     1978 S0~ Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.4 Percent Sulfur                             121

48     1980 S02 Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.5 Percent Sulfur                             123

49     1980 S02 Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.4 Percent Sulfur                             125

50     1990 SO  Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.5 Percent Sulfur                             127
                                Xll

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                       LIST OF TABLES (continued)
No.                                                                 Page

51     1990 SO  Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.4 Percent Sulfur                             129

52     2000 S02 Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.5 Percent Sulfur                             131

53     2000 S0? Air Quality Data With Pennsylvania Regulations and
       Inner Zone at 0.4 Percent Sulfur                             133

54     Air Quality Data for the Strategy Alternatives at Selected
       Sites                                                        135

55     Annual Arithmetic Mean Required to Exceed 24 Hour Standard   135

56     Probability of Attaining and Maintaining the Annual S02
       Standard (80 yg/m3) for Selected Model Concentrations        141

F-l    Hourly S02 Measurements (yg/m3) at Philadelphia Sites for
       January 24, 1975                                             200

F-2    Running 3-Hour S02 Concentration Measurements at Philadel-
       phia Sites for January 24, 1975                              201

F-3    Hourly Meteorological Data for Philadelphia for
       January 24, 1975                                             202

F-4    Calculated 24-Hour and Peak 3-Hour S02 Concentrations at
       Actual and Model Receptor Locations for January 24, 1975     205

F-5    Hourly Meteorological Data for Philadelphia for
       August 30, 1974                                              211

F-6    Hourly S02 Measurements (yg/m3) at Philadelphia Sites for
       August 30, 1974                                              212
                               Xlll

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                            ACKNOWLEDGMENTS

Several individuals and organizations have been helpful in carrying out
this study; for these contributions the GCA/Technology Division extends
its sincere gratitude.  Special thanks are due to Mr. Brian McLean,
Project Officer of the U.S. Environmental Protection Agency's Region III
Air Programs Branch for his guidance and continuous project supervision.
                               xiv

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                                SECTION I
                              INTRODUCTION

The Metropolitan Philadelphia Interstate Air Quality Control Region (AQCR)
is currently not attaining the primary air quality standards for sulfur
dioxide (S09), total suspended particulates (TSP), photochemical oxidants
(0 ), and carbon monoxide (CO).  The purpose of this contract is to im-
  X
prove the air quality data base of the region as an initial step in the
improvement of existing plans to attain and maintain the air quality
standards.  Specifically, this contract updates the regional point source
emission inventory for S0«, TSP and hydrocarbons (HC), develops an area
emission inventory for S0«, TSP and HC, and uses the Air Quality Display
     X
Model  (AQDM) to calculate S0« concentrations for the base year 1974.
Through the use of population, employment and travel projections, the
point and area source emissions are estimated for selected future years
and the S0« levels for those years are calculated.  Finally, various
regional sulfur in fuel strategies are modeled to determine their effect
with respect to the attainment and maintenance of SO,, air quality standards,

The contract is subdivided into a number of tasks.  The first task under
this contract was the conversion of the Pennsylvania Emission Inventory
System (PAQNEI) point source inventory into .:he National Emissions Data
System (NEDS) format.  The NEDS point source -inventory for the remaining
counties in the AQCR was obtained from the appropriate agencies, reviewed
and checked for accuracy.  The second task involved the development of
an area emission inventory for all counties, and the allocation of emis-
sions to subcounty grids using the Computer Assisted Area Source Emissions
                           ?
Gridding Procedure (CAASE).

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Third, with the completed emission inventory, the required meteorological
parameters and the 1974 observed air quality data were obtained.   Models
were run for the AQCR to validate them and to calculate the S09 concen-
trations for 1974.  Attempts to validate AQDM for TSP was not satisfac-
tory as a basis for modifying existing regulations;  therefore, TSP con-
centrations were not calculated on a regional basis.  Fourth, in order
to perform the sulfur in fuel strategy analysis, the sulfur content, type
of fuel, and fuel consumption for all point and area sources was  compiled.
This data along with the source receptor file generated from the base
year model run, were utilized to modify the emission inventory and cal-
culate annual SO- concentrations based on various sulfur in fuel  alterna-
tives .
Fifth, a projected emission inventory for selected years was developed
for S02, TSP
these years.
for SCL,  TSP,  and HC.   Resulting  air  quality was  calculated  for  SO   for
Sixth, based on the results of the sulfur in fuel strategies tested for
the base year, two final alternatives considered to be regionally equitable
by the air control agencies, were tested to determine their adequacy for
attainment and maintenance of SO,., standards.

Throughout this contract effort, considerable cooperation was solicited
and received from the Pennsylvania Department of Environmental Resources
(DER), the Philadelphia Air Management Services (AMS), the New Jersey
Department of Environmental Protection (DEP), and the Delaware Department
of Natural Resources and Environmental Contrc" (DNREC).

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                               SECTION II
                  THE POINT SOURCE EMISSION INVENTORY

PENNSYLVANIA POINT SOURCE EMISSION INVENTORY

Previous to this contract, a small percentage of the Pennsylvania point
sources were in NEDS.  The initial task under this contract was the con-
version of the point source data for the Counties of Bucks, Chester,
Delaware and Montgomery, from the PAQNEI format to NEDS format.  A total
of 1178 emission points were converted to the NEDS format, and Table 1
gives a breakdown of the emission points by county.
              Table 1.  DISTRIBUTION OF EMISSION POINTS CON-
                        VERTED FROM PAONEI TO NEDS FORMAT
County
Bucks
Chester
Delaware
Montgomery
Total
No. of
plants
46
27
38
68
179
No. of
emission points
323
120
258
477
1178
Because of the formatting and reporting techniques used by the PAQNEI sys-
tem it was necessary to perform all conversions by hand onto the NEDS
forms.  Considerable time and effort was required for this conversion.
All major sources with the potential of emitting more than 100 tons of
particulates or S0? were coded and keypunched for submission to EPA.

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The actual conversion of the data required numerous  calculations.   Each
source had to be reviewed to determine if it nat the requirements  for
conversion.  This initial review was simply to  convert: all  hourly  emission
rates to a yearly rate based upon the operating parameters.  If a  facility
had the potential for emitting more than 100 tons of particulates  or S09,
it was then coded into the NEDS format.

In some cases, descriptions of each emission point source were not ade-
quate to assign an appropriate Source Classification Code (SCC).  For
these instances a general SCC code describing the nature of the operation
was used.

There were no problems encountered in recording the  data which described
the general nature of the plant.  This information was copied directly
from the PAQNEI output to the NEDS coding forms.  This data included the
following information:
    •   Plant name
    •   Address
    •   Person to contact
    •   Standard Industrial Classification Code (SIC)
    •   PAQNEI firm code number

In addition to the PAQNEI data, DER supplied the operating parameters
(weeks/yr, days/week, hours/day) as well as the seasonal variations and
throughput for each emission point.  The year of record for this data
was 1974.

All other data necessary for properly filling out a  NEDS point source
form was obtained directly from the PAQNEI output.  There were some minor
problems that developed during the conversion of the data due to errors
and formatting differences between PAQNEI and NEDS,  but these were
rectified.

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For each emission point the allowable emissions were calculated and re-
corded on the appropriate NEDS card.  The DER source regulations were used
to determine the allowable emissions.  The operating cycle for each source
was used in conjunction with the hourly regulations to determine the
annual allowable emissions.  As DER requested, all NEDS data were coded
as being confidential.

After all sources were coded, copies were supplied to DER for review and
all changes or corrections were incorporated into the data base.

After the initial review by DER, a set of additional point sources were
sent to GCA by DER.  These points had potential SO,, and TSP emissions
less than 100 tons/yr, but were deemed significant and included in the
point source inventory.  Some of the additional point sources had large
hydrocarbon emissions.

In the PAQNEI format, plant locations are expressed in geodetic coordinates.
Since NEDS require the plant location in UTM coordinates, a method was
developed to convert Latitude and Longitude to Northing and Easting
Coordinates.  In the manual Universal Transverse Mercator Grid,  equations
are given to perform the conversion to 6th order accuracy.  We have taken
the equations up to the second order (Equations 1 and 2) and calculated
the values of N1 and E' for a centralized point in the AQCR.  In so doing
we have minimized the complexity of the equation, and obtain results
accurate to 100 meters:
               /                     1-1
      N = N' 6U + (-| sin 0 cos Q AX  j 3.G44^ x 10~  j> + 100        (1)


      E = 500,000 - E' < cos 6 AX i                                  (2)

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where  N' = 110686.72 meters
       E' = 111670.74 meters
        6 = Latitude in degrees
 AA=75°-A = Difference in Latitude from the Central Meridian.

NEW CASTLE POINT SOURCE EMISSION INVENTORY

Initially, GCA requested the NEDS Point Source File for New Castle County
from EPA.  After examination of the file and discussions with DNREC, it
was determined that the data file GCA had received was not current and
did not represent 1974 emissions.  A listing of all emission points
greater than 10 tons/year was sent to DNREC, and they noted in the listing
the correct S0_ and TSP emissions, as well as the addition of point sources
not in the original file.  Additionally, DNREC supplied GCA with the fuel
data for these plants.  Because of the number of changes, the original
NEDS file was restructured to contain only the verified data supplied by
DNREC.

PHILADELPHIA POINT SOURCE EMISSION INVENTORY

As was the case for the New Castle Point Source Emission Inventory, the
Philadelphia NEDS Point Source File was not current.  Fortunately, AMS
was able to supply GCA with an updated version of the NEDS Point Source
Inventory which they maintain at their computer facility.

NEW JERSEY POINT SOURCE EMISSION INVENTORY

At the time this contract was initiated, EPA Rt-gion II had a contract
with Engineering-Science Inc. to update the NEDS Point Source Files for
New Jersey.  GCA received the updated NEDS Point Source File from
Engineering-Science for the Counties of Burlington, Camden, Gloucester,
Mercer and Salem.  GCA sent a listing of the major point sources to DEP
for their review.  DEP noted discrepancies in the data files for all

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power plants, and supplied GCA with the correct emission data.   Additionally
a large emission point at the Mobil refinery could not be verified and was
assumed to have zero emissions.  Subsequent to the modeling effort, the
emission rate of the point was determined to be 6 tons/yr.

EDITING OF THE POINT SOURCE FILES

In order to obtain the data required by AQDM, a program was developed to
extract the point source data required by AQDM from the NEDS Point Source
File.  (See Appendix A for the program listing and a sample run.)  The
output summaries of this program were reviewed by the appropriate agency
to verify the accuracy and completeness of the data.  This review un-
covered a number of errors in the stack flow rate and stack diameter which
were corrected.  The AQDM point source data was punched onto cards, and
the plant coordinates plotted on an overlay of the county.  By examining
the plot, a number of errors in the plant coordinates were found and
corrected.

In Table 2 the number of emission points in each county are listed.
Emission points greater than 25 tons/year were included as point sources,
except in Philadelphia County where all points greater than 10 tons/year
were considered point sources.  Emission points which had emission rates
less than the prescribed values were added to the grid in which the emis-
sion point was located.  For New Castle County, a number of small point
sources (less than 10 tons/year) are not included in our file.   It was
estimated by DNREC that these small sources represented 1,039 tons/year
S0~ and 0 tons/year for particulates.  The SC  emissions were divided by
the number of grids in New Castle County, and resulting emission rate
added to each grid square.  (Appendix B contains the fuel useage of point
sources by county.)  Figures 1 and 2 show the geographical distri-
bution of the S0« and TSP point source emissions, as well as the location
and air quality data for the monitors.

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4510
      H	1	1	t——I	1	1	1	1	1	1	1	1	1	I
                      k t f~ *• i*i *m  f* * t r i i-vf^r-i r~\ i i *
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                                                                     0   < O <25
                                                                     25  < A 
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4500
                      METRO 'pHILflDELPHIfl tt'sc'flLE-  i  i'sdoooo
                                                                EMISSION IN TONS/TR
                                                                   0    < 0 <25
                                                                   25   < * <50
                                                                   SO   < + <100
                                                              \    100  < X «200
                                                              \    200  <»< 500
                                    \
4340.
   400
                                      KM  (EASTING)
510
                  Figure 2.  Location and  emission rate of all plants

                             emitting particulates
                                        10

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                             SECTION III
                       AREA EMISSION INVENTORY

INTRODUCTION

One of the major task under this contract was the development of an area
emission inventory for the 11 counties in the Metropolitan Philadelphia
AQCR.  Following the instructions in the "Guide for Compiling a Comprehen-
sive Emission Inventory"  and "Guidelines for Air Quality Maintenance
Planning and Analysis Volume 7,"  an area emission inventory was developed
for each county.  The CAASE programs were utilized to allocate the emis-
sions to subcounty grids.  The basic data sources referenced in generating
the emission inventory are:
    •   Mineral Industry Survey
    •   Highway Statistics
                         o
    •   Med-X Census Tape
                         9
    •   Census of Housing
                                10
    •   County Business Patterns
    0   Waterborne Commerce of the United States
                                12
    •   FAA Air Traffic Activity
    «   Military Air Traffic Activity
                                                        14
    •   Energy Used by Pennsylvania Manufactui rs:  1974

Appendix C contains a listing of the program which was developed to
allocate fuel data from the state to the county level, and a sample output.
Appendix D contains the NEDS Area Source Forms which were completed for each
county.  In order to describe the derivation of the data in Appendix D, each
category will be described separately, as it appears in the form.
                                  11

-------
One item which is used for a number of emission calculations is the sulfur
and ash content of each type of fuel.  In order to determine the sulfur
and ash content of each fuel in each county, the average sulfur and ash
content for each type of fuel was calculated from the sulfur and ash con-
tent of the fuels utilized by point sources in 1974.  If a fuel was not
utilized by point sources in a county, the average sulfur and ash content
for those counties utilizing that fuel would be used.  Table 3 lists
the sulfur and ash values which were developed for each county.

RESIDENTIAL AREA SOURCES

In order to determine the residential fuel usage in 1974, the number of
households in that year was required.  The State of New Jersey had deve-
loped an estimate of the number of households, but for the Delaware and
Pennsylvania counties the number of household in 1974 had to be determined.
The estimated number of households was developed based on the estimated
1974   population and the 1970 value of inhabitants per household obtained
from Reference 9.  The fuel utilized for heating by each household in 1974
was determined from Reference 9 by keeping coal and wood burning house-
holds at 1970 levels, and increasing the number of households heating with
oil and natural gas by the product of the ratio of the market held in 1970
and the number of new households.  The fuels inventoried for residential
use are:  coal, distillate oil, natural gas, and wood.  For each of these
fuels an empirical equation has been developed (page 80, Reference 5) to
calculate the consumption of each type of fuel for residential heating.
With respect to  the  levels of analysis discussed  in Reference  5,  the above
procedure corresponds to a Level 3  inventory  ^or  residential fuel consumption.

COMMERCIAL/INSTITUTIONAL AREA SOURCES

To obtain the Commercial/Institutional (C/I) fuel totals for a county,  the
state residential distillate fuel oil is subtracted from the state distil-
late heating oil fuel category found in Reference 6.  The remaining fuel
is allocated to counties based on the ratio of the county C/I employment
                                  12

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to the state total C/I employment.  The point source fuel consumption of
distillate oil is subtracted and the remaining distillate oil is consi-
dered the area source fuel.  The above procedure is also performed for
residual oil except that it is assumed that no residential sources heat
with residual oil.  For the County of Philadelphia, AMS had previously
developed county totals of SO- emissions for area sources.  Since their
data was based on a more detailed analysis than this contract required,
their values are noted in Table 4, and were used for the listed cate-
gories.  The differences in the emission inventory demonstrates the in-
herent problems in accuracy when data is allocated from the state to the
county level.  The natural gas C/I area source fuel is determined by allo-
cating the state C/I gas consumption found in Reference 6, to counties
based on C/I employment.  The point source C/I natural gas consumption is
then subtracted from the county total to obtain the area source fuel.  No
data was available on the use of wood by C/I area sources, and this field
was set to zero.  Area source coal consumption was handled differently
and is discussed under the Industrial Area Source subsection.
                     Table 4.   COMPARISON OF AMS AND GCA
                               DERIVED S02 EMISSIONS IN
                               TONS/YEAR FOR SELECTED
                               CATEGORIES
Area source categories
Commercial/ Institutional
distillate oil
Commercial/ Institutional
residual oil
Industrial residual oil
GCA
1,614
6,259
4,^74
AMS
315
1,589
0
The methodology utilized for C/I area sources is similar to Level 2 of
Reference 5, except that all fuel used for heating was allocated to the
residential and C/I category.
                                  14

-------
INDUSTRIAL AREA SOURCES

The consumption of oil and natural gas by industrial sources for the
Delaware Valley Region (Bucks, Chester, Delaware, Montgomery, and Phila-
delphia Counties) was obtained from Reference 14.  This data did not have
to be allocated from the state level to the county, but rather distributed
among the five counties.  Since Reference 14 did not differentiate between
distillate and residual oil, a ratio of distillate to residual oil was
derived from the data in Reference 6, and applied to the fuel oil total in
Reference 14.  Once the fuel was distributed into distillate and residual
oil, the point source consumption of oil for the five counties was subtrac-
ted from the appropriate category, and the remainder allocated to counties
based on industrial employment.  For residual oil the remainder, after
the point sources were subtracted, was distributed among four counties
since Philadelphia AMS indicated that all industrial residual oil customers
were in their NEDS point source inventory.  Natural gas area source fuel
was determined by subtracting the industrial natural gas consumption by
point sources, and allocating the remaining fuel to each county based on
industrial employment.  Since no data was available on the industrial area
source consumption of coke, wood and process gas, these fields were set to
zero.

Data was available from Dr. Knight   concerning coal consumption data for
each county.  Since the coal tonnage for each county includes residential,
C/I and industrial usage, the residential component was subtracted and the
remainder allocated to C/I and industrial fuel based on the ratio of C/I
to industrial coal consumption developed using, data found in Reference 6.
The point source consumption of coal was then subtracted to obtain the
area source coal for C/I and industrial sources.

The methodology used for Industrial Area Sources is comparable to a Level 2
update as specified in Reference 5, and for the Pennsylvania counties it
corresponds to Level 3.
                                  15

-------
TRANSPORTATION AREA SOURCES

To obtain gasoline and diesel fuel sold,  Reference 7 was utilized to ob-
tain state totals for on an off-highway fuel usage.   The state on-highway
fuel consumption was allocated to the counties based on automobile and
truck registration.  Gasoline was further allocated  to Light- and heavy-
duty vehicles based on the assumption that 89 percent of the gasoline is
burned by light-weight vehicles as recommended in Reference 5.  For the
nine counties in the Delaware Valley Regional Planning Commission, annual
vehicle miles traveled (VMI) was available and broken down into freeway
and nonfreeway VMT.  This data was compared to the VMT calculated from
the on-highway fuel consumption in each county.  The VMT was in good
agreement except for Philadelphia County where the calculated VMT was
considerably higher than the DVRPC estimates.  In the "OAQPS Guideline
AEROS Manual Series, Volume II,"   it is suggested that the miles per
gallon figure used to calculate VMT should be adjusted based on the popu-
lation density in a county.  For Philadelphia a factor of 0.67 is suggested,
and this value gave good agreement between the DVRPC data and the VMT
calculated based on on-highway fuel consumption.  For New Castle County
and Salem County the appropriate state agencies were contacted to obtain
VMT data.  Due to the data available, New Castle and Salem Counties are
Level 3 updates, and the remaining counties are Level 2 updates.  Off-
highway fuels were allocated to counties based on population.  State rail-
road fuel totals were allocated to counties based on the ratio of county
to state population.

Aircraft operations for all airports with FAA towers was obtained from Ref-
erences 11 and 12.  For small local airfields, FAA. 5010 forms were obtained
from FAA.  This data estimated the number of operations for most airports,
but when no estimated operations are available, the number of based aircraft
is multiplied by 365 to obtain yearly operations, as suggested in Reference 4,

For vessels the procedure in Reference 4 was utilized.  Since Reference 11
details the travel between ports underway, fuel was allocated by mileage
                                  16

-------
to counties along the river for vessels docking upstream.  No coal-burning
vessels called on ports in the area, thus the coal usage was set to zero.
The gasoline usage by vessels was also set to zero since it is included
in off-highway fuel usage.

The allocation of emissions from railroads, aircraft and vessels corre-
sponds to a Level 3 update.

FUGITIVE AREA SOURCES

An attempt was made to include fugitive sources in the particulate emission
inventory.  The report "Emissions Inventory of Agricultural Tilling, Un-
                                                 18
paved Road, and Airstrips and Construction Sites"   was utilized to obtain
an emission inventory for fugitive particulate sources.  The data is coded
on the area source forms, but when the appropriate emission factors are
applied, the calculated emissions are extremely high.  Comparison of the
emissions using Reference 18 and data generated by Engineering Science
for the State of New Jersey, indicates that the dirt road VMT and the
construction emission factors in Reference 18 are considerably larger
than those used by Engineering Science.  (A summary of the emission fac-
tors in Reference 18 can be found in Supplement 5 of "Compilation of Air
                            19
Pollution Emission Factors."  )

MISCELLANEOUS AREA SOURCES

For on-site incineration and open burning, GCA was unable to obtain esti-
mates of tonnage burned from New Jersey and Delaware.  No estimate of on-
site incineration could be obtained for Pennsylvania.  Although all small
incinerators in Pennsylvania have permits, no tabulations of the size or
tons charged have been compiled.  In Philadelphia, AMS estimates the par-
ticulate emission from small incinerators to be about 1000 tons/year.  The
New Jersey data on open burning is based on permits for the first 6 months
of 1976, and is assumed to be appropriate for 1974 if multiplied by 2 to
                                 17

-------
obtain a yearly total.  The amount of solvents purchased per county was
calculated based on population as suggested in Reference 5.

ALLOCATION OF AREA SOURCES TO SUBCOUNTY GRIDS

The county fuel data was allocated to subcounty grids using the CAASE
methodology.  CAASE is an acronym for Computer Assisted Area Source Emis-
sions gridding.  The methodology provides an objective method for allocat-
ing county level fuel data to subcounty grids, and calculating the emis-
sions.  The objective apportionment parameters for each type of fuel is
documented in Reference 2, and is not repeated here.   Two modifications
of the CAASE 4 program have been implemented for this study.  First,
CAASE 4 now allocates railroad emissions by the amount of track in each
grid, and second, aircraft operations are allocated to the grid square
in which they originate.  Figure 3 shows an example of the population
distribution output of CAASE 2; Figure 4 shows an example of the grid
system which was developed for each county; and Figure 5 is the composite
grid for the Philadelphia AQCR.  Tables 5, 6, and 7 break out the S0?,
TSP and HC area emission inventory calculated by CAASE 5 for each source
category.  In Figures 6 and 7 are plotted the area emission density for
S02 and TSP.
                                 18

-------
4470
            1 STR'TF OF   'PENNSYLVRNI'R  SC'RLEI 'i KM'I 250*000  'KM
             COUNTY OF   CHESTER           i IN HUD •  5000 PEOPLE
4300 J
   400
                                  KH  lEflSTINO)
                                                      -*	1	1-
                                                                         80
                Figure 3.   CAASE 2 output  for Chester  County
                                    19

-------
4470
                CHESTER COUNTY      scftLti  i KMI 250000 KH
4380 J
   400
        i    i	1	»-
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             Figure 4.  CAASE 3  output  for Chester  County
                                  20

-------
4500.
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             Figure 5.   Grid  system for the metropolitan Philadelphia AQCR
                                          21

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        Figure 6.  S0? emission density for the Metropolitan Philadelphia  AQCR
                                      25

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                         Philadelphia AOCR (excluding fugitive emissions)
                                      26

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                               SECTION IV
                            MODEL VALIDATION

INTRODUCTION

The principal purpose of using an air quality model, such as AQDM, is to
obtain a representation of the air quality for a region.  In order to
determine how well the model is calculating the pollutant concentrations,
the predicted concentrations are compared to the observed data, and a
regression line is calculated.  If the intercept of the regression line
is near zero, and the slope near 1.0, this indicates that the model is
capable of reproducing the observed pollutant concentrations, and can be
used to predict pollutant concentrations for the region.  If agreement
between predicted and observed data is not within acceptable limits, the
input to the model should be examined to determine if the correct meteo-
rological data was used, and to check if the emission inventory is complete
and accurate.

S02 MODEL VALIDATION

When GCA received AQDM, the model did not have any removal mechanism,
thus pollutants were assumed to remain suspended indefinitely.  The ini-
tial S0~ validation attempt is plotted in Fie -re 8.  For this test the
area emission inventory was developed using Reference 6.  Although the
correlation coefficient (0.809) is good, the background value is high,
and the slope indicates that the model is overpredicting SO- concentrations.
After discussions with the project officer and the regional meteorologist
in Region III, it was determined that AQDM should be modified to include
a half-life for S0~ in order to obtain a slope closer to one.

                                27

-------
    R=   0. 809
    S02 - 21.4 +  (0.25) S02
 25.00    sb. 00    75700    100.00   IZS.Ou   ISO. 00   175.00   200.00
            CflLCULflTEO         (UG/M3)
Figure  8.   S02 calibration curve with no half-life
                      28

-------
With AQDM modified to include a half-life of 3 hours, the resulting re-
gression line was improved.  The slope was now 0.96 rather than 0.25,  and
the intercept was reduced from 21.4 to 7.1.  The regression line is plotted
in Figure 9 with the observed data, calculated data and statistical
parameters tabulated in Table 8.  All monitors plotted in Figure 9
were verified by the appropriate state agencies.  For this validation
the area emission inventory was improved by utilizing the data in Refer-
ence 6 and the additional data in Reference 14.

A close examination of Figure 9 demonstrates how the model overcalcu-
lates some receptors, and undercalculates others.  This situation becomes
important for the monitors which had readings near the primary annual
                   3
standard of 80 [ig/m .  For these monitors, the model underpredicted the
                               3
S09 level by as much as 15 ug/m , thus making it appear that the air
                                      3
quality was considerably below 80 ug/m .  On the other hand, monitors
                                                     3
within a few miles had observed concentration 14 ug/m  below the calculated
value.  When the S09 air quality was generated for the entire AQCR, the
                                    3                       3
highest point calculated was 75 ug/m  which would be 79 ug/m  if the re-
gression constants were utilized.
The standard deviation of a regression line is a measure of the scatter
in the data about the line.  If all the data fell exactly on the regression
line, the standard deviation would be zero.  In actuality, the data is
scattered about the regression line, and the standard deviation is a
measure of the scatter in the data.  The statistical significance of
the standard deviation is that 68 percent of the data will fall within
one standard deviation of the regression line  95 percent will fall within
two standard deviations, and 99 percent will ^"all within three standard
deviations.  For example, if the regression equation calculates a value of
70, and the standard deviation is 10, that means 68 percent of the time
the data is between 60 and 80, 16 percent of the time it is greater than
80 and 16 percent of the time less than 60.
                                29

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                                 2 calc
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            CflLCULflTEO         C'VM3)
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       Figure 9.
        SO-  calibration curve with a 3-hour half-life
                              30

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-------
For the final SC>2 regression line, the standard deviation is 10.7 ug/m3.
For a model calculated concentration of 70 |_ig/m3, the calibrated value
would be 74 |ag/nr' with an equal chance that the observed value will be
                                 o
greater than or less than 74 ug/m .   In comparison with the primary
annual standard of 80 ng/m3, a calculated value of 70 (J.g/m3 (calibrated
value of 74 jj.g/m3) is interpreted as having a 71 percent probability of
meeting the standard.  All figures in this report plot calculated (un-
calibrated) concentrations of S02•

Although the calibration curve does not by itself indicate a problem in
meeting the primary annual 862 standard, the fact that one monitor (not
at the location the model indicates as having the highest air quality
levels) was above the standard indicates a problem.  Additionally the
standard deviation of the regression line indicates that all calculated
values above 70 [ig/m3 have a 29 percent probability of actually being
above the standard.  Care must be taken in evaluating the air quality
predicted by the model since values which appear to be below the standard
might in actuality be above the standard due to local influences not
contained in the model.

TSP MODEL VALIDATION

Attempts to validate the model for particulates were not satisfactory.
Using a preliminary emissions inventory, the TSP concentrations were
validated with and without fugitive sources (see Figures 10 and 11).
In neither case was the correlation satisfactory.  Further analysis and
discussions concerning the fugitive dust component lead us to remove
fugitive dust from the modeling effort since :ne fugitive dust emissions
may have been overestimated and AQDM does not have any deposition or
settling mechanism which is necessary for the particle sizes characteristic
of fugitive dust.  When the emission inventory was finalized, another
attempt was made to validate AQDM for TSP-  The results are plotted in
Figure 12 and Table 9 contains the input data.
                                 32

-------
             R=  0. 393
o
o
                     TSP = 56.4 + 0.51 TSP
                                    calc
25.00
                  50.00     75.00

                      CRLCULRTELi
.oo
 125.00

(UG/M3)
150.00
   Figure 10.  TSP calibration without fugitive dust sources
                         33

-------
               R=  0.32G

               TSP = 46.3 + 0.03 TSP
                                  calc
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           20.00    40.00    60.00    80.00    100.00   120.00

                        CRLCULRTED         (U&/M3)*10'
140.00
         Figure 11.  TSP calibration with fugitive dust sources
                              34

-------
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                       A,
'  A   A
Hi. 00     4~0. 00     60.00     80. 00    100.00
              CRLCULRTED         (UG/M3)
                                                          120. 00
                                                      140.00
            Figure 12.  TSP calibration of finalized inventory
                        with all monitors
                                35

-------
                     Table  9.   TSP CALIBRATION  DATA
County
          Receptor  Location
          east,  km  north,  km
  Observed
air quality,
Calc.  point  source Calc.  area  source
   air quality,      air quality,
      Ug/nr              |ig/m3
New Castle
New Castle
New Castle
New Castle
"f- fVntle
New Castle
New Castle
New Castle
New Castle
New Castle
New Castle
New Castle
Burlington
Burlington
Burlington
Gloucester
Camden
Gloucester
Gloucester
Mercer
Mercer
Mercer
Mercer
Gloucester
Burlington
Camden
Salem
Bucks
Bucks
Bucks
Bucks
Chester
Chester
Chester
Delaware
Delaware
Montgomery
Montgomery
Mont gomery
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
436.38
452 .81
461.48
455.75
447.16
447.11
449.89
441 .42
453.62
452.87
455.00
441 .99
514.70
530.60
514.10
491 .60
494.70
489.40
475.00
512. 4T
533.60
524.90
519.50
487.40
526.30
505 .30
469.30
512.15
486.90
518.37
475 .33
430.10
439.83
455.61
468.75
467.17
476. Id
489.92
446.42
485.15
485.81
491.61
47V. 48
491 .o7
480.26
433.85
487.23
498.97
4390.31
4 V3 3 . o, 4
4406.37
4402 . K'
4. 199 .15
4390.73
4379.61
4394.47
4403.64
4398.09
4396.2 I
4375.97
4416.30
44^.60
4434.70
4391 .90
4419 .(, j
4395 .3.')
440C, .al
4462 .60
4462 .40
4445 .CO
4452.02
440= .50
4434.70
4i,04.7ll
43S7 .00
4430.47
4457.77
4452 .1 1
446*5 . i<<
4424.34
442-1.77
4443.15
4410.40
441 '.70
4453.79
444 3.5-1
4455.76
442 2. fl.l
4421 .35
4423 .54
4433.1.-'
442^.17
4414.79
44 11. -"2
44 1 7 . 3 3
443 f, . L' 2
70.00
56.00
72.00
58. DC
47. Ot;
53.00
49 .00
65.ro
69.00
97. Cn
lo?.00
53.00
4 1 . 0 0
44.00
43.00
3 ) . 0 0
^d.OP
45.00
40. 0 J
4f> .Or-
47.00
"fl.OO
08.00
49.00
4 9 . f ' C
53.00
39. On
83 . 00
60.00
49 .00
6 J. L'O
136 . 0(.
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o2 .00
t- 9 .or
io.oo
7h . 00
V- .00
h-j.OO
1..U. r^
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f 1 7 . 0 0

143.00
101 .00
108. UO
.- r> . t 0
72 .CV
2.00
3.00
6.00
5.00
4.0'J
3.00
t.OO
3.00
5.00
5.00
5.00
1.00
7.00
15 .00
"IZ.OO
4.00
12.00
5.00
5.00
7.00
9. on
32.00
17.00
9.00
13.00
7.00
4.0C
14.00
6.00
13.00
4.00
4.00
r> .00
5.00
9.00
5.00
5.00
a. or
4.00
14.00
15.00
16.00
3.00
101 .00
9.00
24 .00
lb.00
1 1 .00
4.00
5.00
10.00
9.00
6.00
5.00
4.00
5.00
8.00
9.00
8.00
3.00
13.00
12.00
16.00
10.00
24.00
11.00
9.00
9.00
9.00
1 6.00
16.00
18.00
13.00
13.00
6.00
16.00
10.00
16.00
7.00
5.00
5.00
6.00
12.00
11.00
10.00
17.00
6.00
29 .00
27.00
27.00
1 7 . 00
29 .00
21 .00
25.00
26.00
21 .00
I'ot .5d073C+00
                 NO. •:,' POINTS   4d
                 y-TNTERCtPT= 0.57772E*02
                                       36

-------
After consultation with the project officer, it was decided to ask each
agency to inform GCA as to which monitors were oeirtg significantly influ-
enced by fugitive sources or noninventoried sources.  As a result of the
review by the agencies six monitors were removed and an attempt was made
to validate the model for TSP (Figure 13).  The results were not en-
couraging.  The regression line changed very little and the correlation
coefficient decreased slightly.

After additional analysis of the TSP data, it was decided to test subsets
of the data to determine whether systematic differences might exist within
the data base.  Three separate tests were performed; (1) New Jersey
monitors  (Figure 14); (2) New Castle and Philadelphia monitors (Figure 15);
and,  (3) New Castle, Philadelphia and the Pennsylvania monitors
(Figure 16).  In all cases, the correlations were significantly higher
than when all monitors were tested together.  The best correlation and
slope were obtained for the New Castle and Philadelphia monitors (Fig-
ure 15).  This subset appears to be the best data for model validation.
                                 37

-------
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                                   calc
           20.00    40.00     60. OC    80.00    100.00

                        CflLCULflTED         (UG/M3)
120. 00
     Figure 13.  TSP calibration of finalized inventory with

                monitors  influenced by fugitive sources

                removed
                          38

-------
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              10.00     20.00     30.00     40.00     50.00
                            CflLCULflTED           (UG/M3)
      Figure 14.  TSP calibration for the New Jersey monitors
                          39

-------
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              10.00     20.00     30.00     40.00     50.00
                             CRLCULRTEO           (UG/M3)
 Figure 15.  TSP calibration for the New Castle and Philadelphia monitors
                            40

-------
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              10.00     20.00     30.00     40.00      50.00
                             CRLCULflTED           (UG/M3)
  Figure 16.  TSP calibration for the Pennsylvania and New Castle monitors

-------
                                SECTION V
                   CALCULATION OF BASE YEAR AIR QUALITY

ANNUAL S02 AIR QUALITY

After the point and area emission inventory were developed and the model
validated, AQDM was run for the base year of 1974.  The STAR summary of
windspeed, direction and stability was obtained for Philadelphia Inter-
national Airport for 1974.  The average mixing height was taken as
1025 meters,   and the average temperature of 1974 of 13°C.    A half-life
of 3 hours was used for SO,,, and no half-life for particulates.  The model
runs were separated into area contribution and point contribution, and a
source receptor file was written on tape for each receptor used.  Two
model runs were made with different receptor grids.  Figure 17 represents
the air quality data for the AQCR with a 10 km receptor grid, and the air
quality data is tabulated in Table 10.  In order to obtain finer resolu-
tion in the portion of the AQCR experiencing high S09 concentrations, a
subregion was defined with a 5 km grid, Figure 18, and the air quality
data is tabulated in Table 11.  It was decided not to use the regression
constants developed in Section IV, but rather have a slope of 1 and an
intercept of 0.  This approach would allow for an easier comparison of
the microgram change in the SO  concentrations for various sulfur in
fuel alternatives.

SULFUR IN FUEL STRATEGY ANALYSIS

One of the purposes of this contract was to calculate the air quality
impact of various sulfur in fuel strategies alternate to those in the
existing state air quality implementation plan.  In order to improve
                                 42

-------
4500
4340
   400
                                      KM   (ERSTINtt
              Figure 17.  1974 Metropolitan Philadelphia AQCR ambient SO,
                          air quality  (10 km receptor grid)             '
                                          43

-------





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the base year data for the strategy analysis,  the power plants in New
Jersey which burned coal under a variance in 1974, were converted to  the
emissions that would have resulted had they burned residual oil according
to the applicable regulation.  The resulting emissions are listed in
Table 12.

The strategy analysis is performed by examining the sulfur content and fuel
consumption of all emission points burning residual oil, and calculating
the resulting S07 emission if the residual oil sulfur content were changed
from what was burned in 1974 to the strategy value.  If a point burned
only residual oil at 0.7 percent, and the strategy called for 0.5 percent
in the zone where the plant was located, the new emission would be 5/7 of
the 1974 base emission.  For multiple fuels and area sources, the change
in the emission contribution from residual oil had to be calculated and
added or subtracted from the original emission rate.

The region was divided into three zones (Figure 19) for the purpose of
sulfur in fuel strategy testing.  Zone 1 is the central core area sur-
rounded by Zone 2, and the outlying regions are in Zone 3.  The zonal
boundaries were defined by the cognizant air quality control agencies as
a function of emission density, air quality concentration and meteorological
parameters.  Table 13 lists the strategies tested for the base year and
the corresponding figures and tables containing the air quality data.
The strategies were selected so that the air quality was calculated for
two sulfur contents in each zone.  This analysis allowed for further  anal-
ysis by the local air pollution agencies.  The strategy analysis was  per-
formed on the 5 km receptor grid since the at, i of highest S0« concentra-
tions was totally contained within this area.

When Zone 1 was using 0.5 percent sulfur oil and all other zones 1.0  per-
cent, (see Figure 20 and Table 14) the air quality remained basically
unchanged in the Pennsylvania counties and New Castle since the base  year
average sulfur content of residual fuel was between 0.7 and 1.0 percent.
Since in the New Jersey counties the residual oil sulfur content was
                                 49

-------
Table 12.  CALCULATED EMISSIONS IF RESIDUAL
           OIL WAS BURNED BY NEW JERSEY PLANTS
           WITH VARIANCE TO BURN COAL
NEDS code
310660 01
310660 02
310660 03
310660 04
314900 01
314900 02
Actual 1974
S02 emissions,
tons/year
1504
1504
2152
2152
5861
3576
1974 S02
emissions
w/o variance
758
758
873
873
1409
1034
   Table 13.  SULFUR IN FUEL STRATEGIES
Strategy
1
2
3
4
Zone 1
0.5
0.5
0.5
1.0
Zone 2
1.0
0.5
0.5
1.0
Zone 3
1.0
1.0
0.5
1.0
Figure
No.
V-4
V-5
V-6
V-7
Table
No.
V-5
V-6
V-7
V-8
                 50

-------
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between 0.3 and 0.5 percent for the base year, the air quality was degraded
since the emissions were increased.  The effect of the first strategy was
a slight redefinition of the contours.  When the region of 0.5 percent
sulfur was expanded to contain Zones 1 and 2, the air quality (see Fig-
ure  21 and Table 15) in Philadelphia did not change appreciably, but the
                       3
area within the 40 |_ig/m  contour was reduced.  When all zones were at
0.5 percent sulfur, the air quality (see Figure 22 and Table 16) improved
slightly over the previous case.  The reason for the lack of substantial
change is the fact that Zone 3 contains few population centers and indus-
trial sources.  Finally, all zones were put at 1 percent sulfur  (see
Figure 23 and Table 17) producing a substantial increase of SO  concen-
trations in the central area of the region.

24-Hour Model

In addition to the annual standard for SO , there is a 24-hour standard of
365 yg/m3.   Under this contract, a model was developed to predict hourly
SO  concentrations, which could be used to determine the average 24-hour
S0~ concentration.  When the model was compared to observed hourly con-
centrations, the model was unable to account for the high SO  concentra-
tions.  The model is described, and the results presented in Appendix F.
As a result of the poor agreement between the predicted and observed SO
concentrations, a statistical approach to predicting the 24-hour S0~ con-
centrations was utilized.   In Reference 24, a technique is developed for
relating air quality for various averaging times.   Thus, based on the rela-
tionship between the various averaging periods, the calculated annual
arithmetic  average can be utilized along wit> the observed geometric stan-
dard deviation to calculate the second maximam 24-hour concentration which
would be expected.  Table 18 contains the annual arithmetic average, geo-
metric average and geometric standard deviation for selected sites,  as  well
as the calculated second highest 24-hour value.  Since there has not been
a problem with the 24-hour standard in the Metropolitan Philadelphia area,
it was surprising to see the number of monitors which were predicted as
being above the 24-hour standard of 365 yg/m3.   Further analysis of  the
                                 55

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         Table 18.  SECOND HIGHEST 24-HOUR VALUES UTILIZING SAROAD
                    CALCULATED PARAMETERS
County
New Castle
New Castle
Camden
Camden
Camden
Gloucester
Mercer
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Receptor location
East
km
452.81
452.87
489.40
491.70
489.80
489.40
519.50
491.60
487.20
486.00
485.10
North
km
4388.84
4398.10
4421.41
4419.00
4421.70
4395.30
4452.02
4428.54
4417.33
4421.65
4422.83
Arithmetic
average
yg/m3
42.0
39.0
60.0
80.0
56.0
39.0
36.0
76.0
50.0
79.0
81.0
Geometric
average
yg/m3
24.80
27.47
48.24
55.98
39.05
25.95
25.28
53.72a
26.36a
57.89a
51.31a
Geometric
standard
deviation
2.27
2.25
1.94
2.22
2.21
3.11
2.76
2.30b
3.10b
2.20b
2.60b
Second
highest
24-hour
yg/m3
210.7
228.1
272.0
448.8
309.4
501.5
357.7
472.2
505.1
453.2
621.2
'Values were calculated based on 1975 geometric standard deviation and
1974 annual arithmetic value.

'1974 geometric standard deviations were not available, thus 1975 values
were utilized.  It is assumed that the shape of the distribution does not
change from year to year.
                                  65

-------
data revealed that the calculated geometric standard deviations might not
adequately represent the high SO  concentrations.  In Figures 24a, 24b and
24c, the frequency distribution of the data is plotted with a line
which GCA feels represents the distribution for the high concentrations.
This analysis was performed for all monitors in Table 18, and from the
geometric standard deviation and the annual arithmetic average, the geo-
metric average and the second highest 24-hour value were calculated, and
appear in Table 19.  The results indicate that a few monitors are above
the standard, but since they do not exceed the standard appreciably
(maximum above standard is 10 percent) the standard would probably not
be exceeded every year.  Since there has not been a 24-hour problem in the
metropolitan area, it is felt that the statistical model adequately
represents the second maximum 24-hour value.
  Table 19.  SECOND HIGHEST 24-HOUR VALUE UTILIZING GCA'S APPROXIMATION
             TO THE DISTRIBUTION OF HIGH S02 CONCENTRATIONS
County
New Castle
New Castle
Camden
Camden
Camden
Gloucester
Mercer
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Receptor location
East
km
452.81
452.87
489.40
491.70
489.80
489.40
519.50
491.60
487.20
486.00
485.10
North
km
4388.84
4398.10
4421.41
4419.00
4421.70
4395.30
4452.02
4428.54
4417.33
4421.65
4422.83
Arithmetic
average
yg/m*
42.0
39.0
60.0
80.0
56.0
39.0
36.0
76.0
50.0
79.0
81.0
Geometric
average
yg/nr
28.63
31.85
49.66
64.24
45.27
32.81
30.19
"9.36
44.51
61.48
62.15
Geometric
standard
deviation
2.40
1.89
1.85
1.94
1.92
1.80
1.81
2.02
1.62
2.03
2.03
Second
highest
24-hour
yg/m3
281.1
168.0
280.0
362.0
248.0
152.0
142.0
371.0
156.7
390.2
400.1
                                 66

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                                                           69

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                               SECTION VI
                      PROJECTION OF EMISSION INVENTORY

INTRODUCTION

The Clean Air Act requires that national air quality standards not only be
attained, but that they be maintained in the future.  The first step toward
satisfying this requirement is to calculate future air quality.  To calcu-
late future air quality, projections of future population, employment, and
travel are used to estimate future emissions.

Nine of the 11 counties within the AQCR comprise the region for which the
Delaware Valley Regional Planning Commission (DVRPC) has planning responsi-
bility.  The DVRPC has generated growth projections with public and local
government participation and is using these projections as the basis for
federally funded programs in transportation, housing and wastewater treat-
ment.  It was decided by the project officer to use DVRPC projections for
developing future emissions.  For New Castle County and Salem County, pro-
jection data for the Wilmington SMSA was obtained from the 1972 OBERS
            22
Projections.

To satisfy the EPA requirement that air quality Analyses cover a period of
at least 20 years and to be consistent with other regional planning programs,
the project officer directed that air quality concentrations be calculated
for the years 1978, 1980, 1990, and 2000.
To calculate emissions for these years, the project officer directed that
                  23
the DVRPC Future A   projections be used.   Of the four regional futures
                                  70

-------
under consideration by the DVRPC during 1976, Future A represented a con-
tinuation of growth trends that have occurred o\er the past 20 years; i.e.,
a reduction in population and employment in Philadelphia County with more
than compensatory increases in population and employment distributed in a
sprawl pattern in the suburban counties.  Overall population and employment
growth for the region between 1970 and 2000 was projected to be 17.5 percent
and 31.4 percent, respectively.

All projection data was normalized to the base year 1974, the year for which
the point source emission inventory was available.  In Tables 20 to 23
growth factors are tabulated for population, housing and employment.
Table 24 lists the growth factors for vehicle miles traveled (VMT)
utilized in this study.

PROJECTION OF POINT SOURCE EMISSIONS

The employment projection data was utilized to project the point source
emission inventory.  The SIC code for each point source was matched with
the SIC codes for the projection factors, and the base year emissions
were multiplied by the appropriate growth factor to determine the pro-
jected emission.  The projection year emission inventory was then modi-
fied setting to zero the emission points for those plants which had
closed since 1974.  Additionally, through the air pollution agencies, es-
timates were obtained for projected power plant emissions.  Since the power
plant data was projected for the short term, the emissions were kept
constant beyond the last available projection year.  The power plant emis-
sion growth factors are tabulated in Table 25.  The projected point source
emissions are tabulated in Table 26.

PROJECTION OF AREA EMISSION INVENTORY

Table 27 lists the area source categories, and the parameter utilized for
the projection of emissions.  The growth factors for population, household
and industrial area sources are taken from Table 20 through 23.
                                  71

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                                                     76

-------
Table 25.  POWER PLANT EMISSION GROWTH FACTORS
Power plant
DPL Delaware City
DFL Edgemoore
Public Service Electric
Burlington County
Public Service Electric
Mercer County
Atlantic City Electric
Salem County
Craydon, Bucks County
Crombei, Chester County
Chester, Delaware County
Eddystone, Delaware County
Barbados , Montgomery County
Delaware, Philadelphia County
Edison, Philadelphia County
Richmond, Philadelphia County
Schuylkill, Philadelphia County
Southwork, Philadelphia County
Willow, Philadelphia County
1978
1.00
1.00
0.48
1.00
0.53
0.52
0.96
0.37
1.20
0.044
0.59
0.52
0.16
0.89
0.26
0.44
L
1980
0.29
1.14
0.32
1.00
0.52
0.52
0.96
0.37
0.42
0.044
0.59
0.52
0.16
0.89
0.26
0.44
1990
0.29
0.86
0.25
0.78
0.45
0.52
0.96
0.37
0.42
0.044
0.59
0.52
0.16
0.89
0.26
0.44
2000
0.22
0.72
0.25
0.78
0.45
0.52
0.96
0.37
0.42
0.044
0.59
0.52
0.16
0.89
0.26
0.44
L
                      77

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78

-------
Table 27.  PROJECTION PARAMETER FOR AREA SOURCE CATEGORIES
Category
number
1
2
3
4
5
6

7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33

34

35

36
37
38
39
40
41
Major
classification
Residential fuel
Residential fuel
Residential fuel
Residential fuel
Residential fuel
Residential fuel

Comm'l & institl fuel
Comm'l & institl fuel
Comm'l & institl fuel
Comm'l & institl fuel
Comm'l & institl fuel
Comm'l & institl fuel
Industrial fuel
Industrial fuel
Industrial fuel
Industrial fuel
Industrial fuel
Industrial fuel
Industrial fuel
Industrial fuel
On-site incineration
On-site incineration
On-site incineration
Open burning
Open burning
Open burning
Gasoline fuel
Gasoline fuel
Gasoline fuel
Diesel fuel
Diesel fuel
Diesel fuel
Aircraft

Aircraft

Aircraft

Vessels
Vessels
Vessels
Vessels
Evaporation
Evaporation
Minor
classification
Anthracite coal
Bituminous coal
Distillate oil
Residual oil
Natural gas
Wood

Anthracite coal
Bituminous coal
Distillate oil
Residual oil
Natural gas
Wood
Anthracite coal
Bituminous coal
Coke
Distillate oil
Residual oil
Natural gas
Wood
Process gas
Residential
Industrial
Comm's & institl
Residential
Industrial '
Comm's & institl
Light vehicle
Heavy vehicle
Off highway
Heavy vehicle
Off highway
Rail loco;.. itive
Military

Civil

Commercial

Anthracite coal
Diesel oil
Residual oil
Gasoline I
Solvent purchased
Gas marketed
Projection
parameter
NPa
NP
Housing units
NP
Housing units
NP

C/I employment
C/I employment
C/I employment
C/I employment
C/I employment
NP
Industrial employment
Industrial employment
NP
Industrial employment
Industrial employment
Industrial employment
NP
NP
NP
NP
NP
NP
NP
NP
Average VMT projection
Average VMT projection
Population.
Average VMT projection
Population
Population
Projected aircraft
operation
Projected aircraft
operation
Projected aircraft
operation
NP
Population
Population
NP
Population
Average VMT projection
                          79

-------
   Table 27 (continued).  PROJECTION PARAMETER FOR AREA SOURCE CATEGORIES
Category
number
42
43
44
45
46
47
48
49
50
51
52
53
54
Major
classification
Measured VEH miles
Measured VEH miles
Measured VEH miles
Measured VEH miles
Dirt roads traveled
Dirt airstrips
Construct land area
Rock handlg & storage
Forest fires
Slash burning
Frost control
Structure fires
Coal refuse burning
Minor
classification
Limited access rds
Rural roads
Suburban roads
Urban roads
-
-
-
-
Area -acres
Area-acres
Orchard heaters
No. year
Size of bank
Projection
parameter
VMT FWY projections
VMT FWY projections
VMT nonFWY projections
VMT nonFWY projections
NP
NP
NP
NP
NP
NP
NP
NP
NP
NP = No growth was projected for those categories.
                                     80

-------
(Industrial area sources use the manufacturing category growth factors.)
Some categories were not projected, since growth in those fuel usages is
not occurring; e.g., residential heating with coal.  Additionally, the fu-
gitive sources were not projected, since there is some question about their
accuracy.  For residential fuels, the degree days were adjusted to a 10-year
climatological average before the growth factor was applied.  Table 28
lists the growth factors for commercial/institutional area sources, and
projection factors for the number of aircraft operations.  The C/I growth
parameters were obtained by averaging the DVRPC employment categories for
SIC 50 to 99.  For New Castle County and Salem County, the OBERS categories
falling in SIC 50 to 99 were added, and normalized to the 1974 values.  The
aircraft growth factors for New Castle County were obtained from the
Delaware Transportation Authority, Department of Aeronautics.   For Phila-
delphia County growth projections for the North Philadelphia and Philadel-
phia International Airports were obtained through AMS, and a weighted
average of the number of operations was utilized for the growth factor.
The remaining county airports were projected using the New Castle County
growth factors since the Wilmington Airport is more representative of
county airports than the Philadelphia airports.

Table 29 contains the projected emissions for area sources, and
Tables 30 through 41 give the breakdown of the area emissions by area
source category.
                                   81

-------
Table 28.  COMMERCIAL/INSTITUTIONAL AND AIRCRAFT GROWTH FACTORS
County

New Castle
Burlington
Commercial/Institutional
growth factor
1978

1.21
1.17
Camden 1 . 10
Gloucester
Mercer
1.22
1.13

Salem 1.21
Bucks
1.16


Chester 1.15
Delaware 1.09

Montgomery 1.05
Philadelphia 0.98
1980

1.31
1.26
1.15
1.34
1.19

1.31
1.23


1.23
1.14

1.08
0.97
i
1990

1.97
1.69
1.41
1.89
1.51

1.97
1.63


1.60
1.37

1.21
0.91
2000

2.95
2.11
1.66
2.45
1.83

2.95
2.02


1.98
1.60

1.35
0.86
Aircraft growth
1978 i 1930

1.27 ' 1.41
1.27 ! 1.41
1.27 | 1.41
1.27 1.41
1.27 ; 1.41
I
1.27 ; 1.41
1.27 ; 1.41


1.27 ' 1.41
1.27 ' 1.41

1.27 1.41
1 T C- 1 *"> £
1 . It) ! i „ i.O
1
1990

2.12
2.12
2.12
2.12
2.12

2.12
2.12


2,12
2,12

2.12
1.71
2000
-
2.86
2.86
2.36
2.8o
2.86

2 . b6
2 . 86


2 , 36
2.65

2.86
2.16
                           32

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                               SECTION VII
                  CALCULATION OF PROJECTED AIR QUALITY
PROJECTED ANNUAL S02 AIR QUALITY

Once the projected emission inventory had been developed,  AQDM was run
for the projection years.  The meteorological input of windspeed, direction
and stability was for a 5-year average from 1970 through 1974.  An average
temperature of 13 C   and a mean mixing height of 1,025   meters were
utilized.  In Figures 25 through 28 the SO  air quality contours
are plotted.  These projections are based on the projected emission in-
ventory and the same sulfur content fuel that was burned in 1974.  Thus,
the projected air quality depicts the effect of current regulations on
future air quality.  The calculated air quality values are tabulated in
Tables 42 to 45.
Figure 25 is similar to the air quality level in the base year (Figure 26)
and represents a normalized air quality since the average degree days
were utilized.  Additionally, the decreased size of the contour at
70 yg is due to the projected reduction in power plant operations in
Philadelphia County.  As the projection years increase (Figures 26 to 28) ,
the contours shift outward, indicating larger areas of the region will
be experiencing high SO  concentrations.   The ~eason for the relatively
small increase in the 70 ug contour in Philadelphia is the projection
factors for Philadelphia are almost all less than 1, reflecting a pro-
jected leveling off or decrease in employment and population.   The manner
in which the contours are shifting towards the northwest and southeast
gives an indication of the effect of the growth in population centers
and industries along the Delaware River.   The increase in SO  levels in
                                96

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the Wilmington area for the year 2000 may not actually be as large as
projected since the growth parameters for New Cistle County and Salem
County are from the OBERS projection data which predicts a higher growth
rate than the area has been experiencing.

PROJECTION YEAR SULFUR IN FUEL STRATEGY ANALYSIS

As a result of the sulfur in fuel strategy analysis for the base year
(Section V), a new strategy analysis was proposed for future years.  The
region was divided into two zones; an inner zone consisting of Delaware
County, Philadelphia County and portions of Camden and Gloucester Counties,
and an outer zone which encompassed the remainder of the AQCR.  Figure 29
defines the zone boundaries.  For the projection years, the sulfur in fuel
strategy in the outer zone is based on the current Pennsylvania Regulation
found in Appendix E.  This regulation varies the allowable S09 emission
rate as a function of boiler size.  The regulation was applied to all re-
sidual oil and coal burning facilities.  Two strategy alternatives were
modeled for the inner zone in each projection year.  The first strategy
had all coal and residual oil combustion sources emitting 0.5 Ibs of S09
per million BTU of heat input, and the second strategy reduced the emission
rate to 0.4 Ibs of SO- per million BTU.  Both strategies had the sulfur
content of distillate oil at 0.2 percent throughout the region.

Figures 30 to 54 depict the air quality for the two strategies for the
years 1978, 1980, 1990 and 2000, and Tables 29 to 36 list the air qual-
ity data.  In Table 37, the SO  concencrations for selected sites are
presented to indicate the effect of the strategies on air quality.

PROJECTION YEAR 24 HOUR MODEL

From the discussion in Section V, it appears that there will not be any
problems maintaining the 24 hour standard for S0_.  If the maximum geometric
standard deviations for the Philadelphia, New Jersey and Delaware monitors
                                 109

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                       Figure  29.   Zones for the projection years
                                         110

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are utilized, it would be beneficial to itnow what annual arithmetic value
would exceed the 24 hour standard.
                Table 54.  AIR QUALITY DATA FOR THE STRATEGY
                           ALTERNATIVES AT SELECTED SITES
Year
1978
1980
1990
2000
SO- concentrations, [ig/m-^
Philadelphia
(485, 4420)
73/713
71/69
73/70
74/72
Gamden
(490, 4415)
64/61
64/60
67/64
71/67
Trenton
(520, 4450)
48/47
49/49
58/58
67/67
Wilmington
(455, 4400)
45/45
46/45
58/58
75/75
       The value above the slash is the S02 concentration for the
      strategy with the inner zone at 0.5 percent sulfur, and the
      value below the slash is the concentration with the inner
      zone at 0.4 percent sulfur.
In Table 55, the values utilized to determine the annual arithmetic
mean for which the 24 hour standard would be violated are listed.  Thus
for Philadelphia, predicted SO  concentrations above 73.9 yg/m3 would have
the potential of violating the 24-hour standard.  For the base year, the
model predicted a maximum calibrated concentration of 79 yg/m3, but no
24-hour violations were recorded.  Since the model predicts the highest
future calibrations concentrations to be less than 79 yg/m3, it is possible,
but not likely, that a 24-hour problem will develop in the future.
               Table 55.  ANNUAL ARITHMETIC MEAN REQUIRED TO
                          EXCEED 24 HOUR STANDARD

Region
Philadelphia County
Camden County
New Castle County
Standard
geometric
deviation
2.03
1.94
2.40
Geometric
mean,
yg/m3
57.5
64.7
37.1
Arithmetic
mean to exceed
24 hour standard,
yg/m3
73.9
80.6
49.8
                                135

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The statistical model predicts that the annual arithmetic value must be
above 80 pg/m3 in Camden County to encounter 24-hour violations.  Since
no future year calibrated concentrations for either alternative are above
75 ug/m3 for Camden, no 24 hour problem is anticipated.

For New Castle County the critical predicted annual arithmetic average is
49.8 ug/m3.  For 1978 and 1980 there is a marginal chance for a 24-hour
violation since the maximum S0~ concentration is 50 yg/m3.   However, if
the average of three monitors is taken, the average geometric standard
deviation lowers to 2.07 resulting in a predicted 24-hour violation above
a predicted annual arithmetic average of 71.2 yg/m3.  This would suggest
a potential 24-hour problem occurring between 1990 and 2000.  However,
since the growth rate, for New Castle County appears to be high, it is not
likely that there will be a 24-hour problem.  The sensitivity of this
statistical approach to estimating 24-hour concentrations suggest that
either a representative standard geometric mean for New Castle County be
determined or 24-hour modeling be performed.
                                136

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                               SECTION VIII
                               CONCLUSIONS

DATA BASE  AND  METHODOLOGY

As a result  of this study, a number of snor; comings  have been noted in
the  data base  and methodology employee.  Probably the most critical problem
which affected the aceura.-"/ o; .;r._- validation 'procebs a fid air quality
predictions  is tne emission ir.veas.ory.  From the  TSP validation attempt,
it appears that the TS? em-rit,ion •-•aces for sources in Bucks,  Chester,
Delaware and Montgomery Co.. nties may r,a v GO lov/.   This hypothesis is
derived from no ting th.-'r,: tr.o cat:.-.; would ;iv"_ ^pp reached iihe regression line
if the emission rates were higher.  An alternative hypothesis is that some
of the monitor sites may be aeav^iy influenced  oy fugitive emissions or
uninventoried  sources..   Tha 3C   .ic.vltcr dat.; could rot 'of similarly checked
for  these  counties since only two r.i;,..iv:ors ware ^.ocated in the. four county
area and they  did ^o; rav  oi ;'"_ L..-..T c'^ta ."t.. ^.e  .representative of an
annual average .

For  both SO. and TSP valiaat.ior.5 , the model overpredicted concentrations
in New Jersey  relative  to ''~i~- re0i'"ssion :i./vo;-,   Tr. rhis case emission
estimates  may  be coo nigh cr che re0re3&ica cc.^veov  reflecting all cal-
culated versus observed concentrations .ui^V, c be the  problem.   No major
problems were  idantiriec with the emission inventories for New Castle
and  Philadelphia
A potential problem exists in £."_' locating fuel  to araa  sources.   Problems
with the point  source  inventory affect the accuracy of  the  point source

-------
fuel consumption figures which  in  turn  c tuse  a  change  in the  fuel allocated
to area sources.  With the CAA3S methodology, emission calculations and
allocations were not as accurate as would be  attained  if certain categories
such as aircraft and vehicle emissions  were hand  calculated and  allocated
to the appropriate grid.  It woulc aj.so have,  been preferable  to  allocate
C/I and Industrial Area Sources to the  grid in  which the emissions occur
rather than using populacion at; tne apportioning  factor.

For TSP, a model should be' utiiizaa which accounts  for street emissions
and the "street canyon" effect,.  The TSP values calculated by the model
are representative of open areas and roof top levels,  not. the values
encountered at street level in an urban area.

For the strategy analysis, 'c.ie .it.Lv.cegy cnanges were calculated  only if
the. sulfur content and the amount of fuel consumed  was available in the
NEDS file.  Thus the strategies ir.ij^.f CL; more effective  in actuality
since some point sources did net as.va either  the  sulfur content  listed,
or the annual fuel consumption..  Projection of  the  emissions  to  future
years was performed on the basis of growth in employment, but this procedure
is subject to some misrepresentation si^ee many industries are becoming
highly automated and can be increasing  emissions;  without  increasing em-
ployment.  On the other hand the assumption that  the emissions from new
facilities will be at the same  r^ce .-is  current  facilities does not take
into account improvement5 in aa^~ :ic; cc-.-.cro'L technology, energy conserva-
tion, or regulatory actions Lir.\i;inc emission increases that  might lead
to violations of standards.

SOr) Air Quality Model ing

Although the validation analysis for trie predicted  and observed  SO^ con-
centration was successful, the ocanaard deviation of the  data is high.
Further analysis should ue. performed to determine why  some monitors have
observations of 14 ;ig/n  higher than predicted  by the  model and  others up
to 26 yg/m3 below the modeled values.   This analysis could decrease the

-------
 to  26 yg/m3 below the modeled values.  This analysis could decrease the
 standard deviation and increase the  confidence of the predicted
 concentrations.

 Based on the concentrations calculated in this report and assuming a
 normal distribution of errors, Table 56 reflects the probability of
 attaining the primary annual S0« standard for selected calculated SCL
 concentrations.

 From the analysis performed in Section VII, it does not appear that the
 region will have a significant number of 24-hour violations through 1990
 under either sulfur in fuel alternative adopted, provided Philadelphia
 County continues its current trend,  in population and employment.  The
 Wilmington area may have a problem with 24-hour violations; however, a
 definitive statement cannot be made  due to a large variation in the
 geometric standard deviation and an  uncertainty in the growth rate.

 TSP Air Quality Modeling

 As previously explained in this report, no modeling of TSP was performed
 due to difficulties in model validation.  Tnere appears to be a basic
 problem either in the background values, the point source emission inventory,
 fugitive emissions, sampling procedure or monitor siting.  In order to
 improve the results, a detailed analysis of each monitor site would have
 to be made, as well as a thorough check of the particulate emission in-
 ventory and potential fugitive emissions.

 Hydrocarbon Inventory

A complete inventory of hydrocarbon emissions from point and area sources
has been compiled, and projected for future years.   Because the emission
inventory for point sources in New Castle county was not current, the
hydrocarbon point source emissions are not complete.   In projecting future
                                139

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emissions, two additional comments must be made.  First, the large hydro-
carbon emission from Gloucester County is from a large tank farm, and DEP

is working with the firm to try and come up with a program to reduce the

emissions.  Second, in calculating the hydrocarbon emissions from motor

vehicles, the emissions have been adjusted according to the Federal Motor

Vehicle Control Program with emission factors from AP-42, Supplement 5.19


Recommendations


Based on the experience gained under this contract, a number of recommenda-

tions can be made to improve upon such studies in the future.

    •   Increase the participation of agencies in the review
        of emissions from major point sources.

    •   Compare the emissions calculated from fuel usage and the
        emission factor, to the emission noted on the NEDS form
        in order to check for consistency in the data.

    •   Check all fields utilized by the program for completeness,
        and obtain all missing data.

    •   Include as many point sources as possible in the point
        source inventory so that there will be a minimum amount
        of area sources to allocate.

    •   Develop county or regional fuel usage data so that state
        fuel totals do not have to be allocated to the county.

    •   Improve the allocation of area source fuels by manually
        allocating the emissions to the appropriate grid.  This
        would apply principally to C/I, industrial and mobile
        area sources.

    •   Inspect every sampling site to ascertain its suitability
        for model validation in order to decrease the standard
        deviation of the regression line.

    •   Include fugitive sources in the inventory, and include a
        settling mechanism for particulates in the model.

    •   Obtain accurate projection data for each 2 digit SIC code
        for industrial sources in each county.
                                 140

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Although the above suggestions would increase the performance time and
cost, they would greatly improve the accuracy and reliability of the re-
gional air quality calculations.  Of all the recommendations, the most
important is a complete, accurate and self-consistent point source emis-
sion inventory.
  Table 56.  PROBABILITY OF ATTAINING AND MAINTAINING THE ANNUAL SO
             STANDARD (80 yg/m3) FOR SELECTED MODEL CONCENTRATIONS
Calculated
concentration
yg/m3
76
74
72
70
68
64
60
Calibrated
concentration
yg/m3
80.1 (0.09)
78.1 (0.18)
76.2 (0.36)
74.3 (0.53)
72.4 (0.71)
68.5 (1.07)
64.7 (1.43)
Probability of
attaining 80 yg/m3
standard
46%
58%
64%
70%
76%
86%
92%
                               141

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                                SECTION IX

                                REFERENCES
 1.  Air Quality Display Model,  TRW Systems,  Inc.   Prepared  for U.S.
     Department of Health, Education and Welfare,  Public Health Service,
     National Air Pollution Control Administration, Washington, D.C.
     November 1969.

 2.  Guidelines for Air Quality  Maintenance Planning and Analysis,
     Volume 8:  Computer-Assisted Area Source Emissions  Gridding
     Procedure.  U.S. Environmental Protection Agency, Office of Air
     Quality Planning and Standards, Research Triangle Park,  North
     Carolina.  September 1974.

 3.  Universal Transverse Mercator Grid.  TM5-241-8. Department of the
     Army.  April 1973.

 4.  Guide for Compiling a Comprehensive Emission  Inventory  (Second
     Edition).  U.S. Environmental Protection Agency, Office of Air
     Quality Planning and Standards, Research Triangle Park,  North
     Carolina.  December 1974.

 5.  Guidelines for Air Quality  Maintenance Planning and Analysis,
     Volume 7:  Projecting County Emissions.   U.S.  Environmental Pro-
     tection Agency, Office of Air Quality Planning and  Standards,
     Research Triangle Park,  North Carolina.   January 1975.

 6.  Mineral Industry Survey. U.S. Department of  the Interior,
     Bureau of Mines, Washington, D.C.  1974.

 7.  Highway Statistics.  U.S. Department of  Transportation,
     Federal Highway Administration, Washington, D.C.  1974.

 8.  Med-X Census Tape.

 9.  Detailed Housing Characteristics in Census of  Housing 1970. HC-B
     Series.  U.S.  Department of Commerce,  Bureau  of the Census,
     Washington, D.C. 1970.

10.  County Business Patterns. U.S. Department of  Commerce,  Bureau  of
     the Census, Washington,  D.C.  1973.


                                 142

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11.  Waterborne Commerce of the United S_<*tes.   U.S.  Department of the
     Army, Corp. of Engineers, New Orleans, Louisiana.   1974.

12.  FAA Air Traffic Activity Fiscal Year 1975.  U.S. Department of
     Transportation, Federal Aviation Administration, Washington, B.C.

13.  Military Air Traffic Activity Report, Calendar Year 1974.  U.S.
     Department of Transportation, Federal Aviation Administration,
     Washington, B.C.

14.  Energy Used by Pennsylvania Manufacturers:  1974.   Commonwealth of
     Pennsylvania, Department of Commerce.  April 1976.

15.  Current Population Reports.  U.S. Department of Commerce, Bureau
     of the Genus.  Series P-26.

16.  Private Communication with Dr. Knight.

17.  OAQPS Guideline Aeros Manual Series.  Volume II.

18.  Cowherd, C.C., et al.  Emissions Inventory of Agricultural Tilling,
     Unpaved Roads and Airstrips, and Construction Sites.  U.S. Environ-
     mental Protection Agency, Office of Air Quality Planning and
     Standards, Research Triangle Park, North Carolina.  Report Number
     EPA-450/3-74-085.  November 1974.

19.  Compilation of Air Pollutant Emission Factors, U.S.  Environmental
     Protection Agency.  Office of Air and Waste Management Office of
     Air Quality Planning and Standards, Research Triangle Park, N.C.
     27711.  Supplement No. 5.  AP-42.  December 1975.

20.  Mixing Heights, Wind Speeds, and Potential for Urban Air  Pollution
     Throughout the Contiguous United States, Environmental Protection
     Agency, Office of Air Programs, Research Triangle  Park, N.C. 27711.
     AP-101.  January 1972.

21.  Local Climatological Summary, U.S. Department of Commerce.  National
     Oceanic and Atmospheric Administration, 1975.

22.  1972 OBERS Projections, Series E, Vol. 5,  U.S. Department of Commerce,
     April 1974.

23.  Alternative Futures for the Delaware Valley:  Year 2000 Report No. 4,
     Delaware Valley Regional Planning Commission.   September  1976.

24.  Larsen, Ralph I.  A Mathematical Model for Relating Air Quality  Mea-
     surements to Air Quality Standards.  U.S.  Environmental Protection
     Agency, Office of Air Programs.  Research Triangle Park,  North Carolina.
     AP-89.  November 1971.
                                   143

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                   APPENDIX A




PROGRAM LISTING AND SAMPLE OUTPUT OF "EXTRACT"
                       144

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                APPENDIX C




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1974 AREA SOURCE FORMS FOR METROPOLITAN PHILADELPHIA AQCR
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-------
               APPENDIX E




PENNSYLVANIA STANDARDS FOR CONTAMINANTS
                187

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                                                                                                          S .138
                                                                                                      491:0581
                          PENNSYLVANIA STANDARDS FOR CONTAMINANTS

              (Title 25,  Rules and  Regulations;  Part  I,  Department of Environmental Resources;
         Subpart C,  Protection  of  Natural  Resources; Article  II], Air  Resources; Chapter  123,
         Standards for Contaminants; Adopted September 2, 1971, Amended  through October 31,
         1973; Amended April 27, 1974; October 25, 1974,  Effective November 10,  1974; July 25,
         1975; July 15, 1976, Effective August 9, 1976)
               FUGITIVE EMISSIONS

§123.1. Prohibition of certain fugitive emissions.
  (a) No  person  shall cause, suffer,  or permit the emis-
sion into  the outdoor  atmosphere  of any fugitive air
contaminant from any source except from:
  (1) The  construction or  demolition of buildings or
structures.
  (2) The grading, paving  and maintenance of roads and
streets.
  (3) The  use of  roads  and streets. Emissions from
material in or on  trucks, railroad cars and other vehicular
equipment shall not be  considered as emissions from use
of roads and streets.
  (4) The clearing of land.
  (5) Tilling or  applying  amendments to  the soil, pre-
paring  cover  crops  lor  incorporation into  the soil and
harvesting, while farming.
  (6) The stockpiling  of materials.
  (7) Open  burning operations.
  (8) Blasting in  open pit mines.  Emissions from drilling
shall not be considered as emissions from blasting.
  (9) Other sources and classes of sources determined by
the Department to be of minor significance with respect
to  the  achievement  and  maintenance- of ambient air
quality standards or with respect to causing air pollution.
  (b) Any person responsible for  any source specified in
subsection  (a) of this section shall  take  all  icasonable
actions  to  prevent  paniculate matter from  becoming
airborne.  Such actions shall  include, but  not  be limited
to,  the following:
  (!) The use, where  possible, of water or  chemicals for
control of dust in the demolition of buildings or struc-
tures, construction operations,  the grading of roads or the
clearing of land.
  (2) The  application  of  asphalt, oil,  water  or  suitable
chemicals  on dirt  roads, material  stockpiles,  and  other
surfaces which may give  rise to airborne djsts.
  (3) The conduct of agricultural practices such as tilling
of land, application of fertilisers and the Like, in  such a
manner as to  minimize dust from becoming airborne.
  (4) The paving  and  maintenance of roadways.
  (5) The  piompt  removal  of earth  or other material
from paved streets onto  wluch  earth or  other material has
                            been transported by  trucking or earth moving equipment,
                            erosion by water, or other means.
                            §123.2. Fugitive paniculate matter.
                              No person shall cause, suffer, or permit fugitive particu-
                            late  matter to be emitted into the outdoor atmosphere
                            from any source  01  sources specified in §123.1(a)(l)-(9)
                            of this Title  (relating  to prohibition  of certain fugitive
                            emissions) if such emissions are either:
                              (1) visible,  at  any  lime,  at the point' such emissions
                            pass  outside the  property of the person, irrespective  of
                            the concentration of paniculate matter in such emissions;
                            or
                              (2) not visible at  I he  point such emissions pass outside
                            the property of the  person and the average concentration,
                            above backgiound, of three samples, of such emissions at
                            any point outside such property, exceeds  150 particles
                            per cubic  centimeter.
                                    PARTICULATE MATTER EMISSIONS

                            §123.11. Combustion units.
                              (a) No person shall  cause, suffer, or permit the  emis-
                            sion into the outdoor atmosphere of particulate matter, at
                            any  tune,  fiom any combustion unit in excess of the
                            following:
                              (1) The  rate  of  0.4  Ibs. per million  B.t.u. of heat
                            input, when the heat  input to the combustion  unit in
                            millions  of  B.t.u.'s per hour is greater  than 2.5 but  less
                            than 50.
                              (2) The rate determined by the following formula:
                              A=3.6E-<>"56
                            where:
                              A = Allowable emissions in pounds per million B.t.u. of
                            heat input, and
                              E = Heat input to the combustion unit in millions of
                            B.t.u.'s per hour,
                            when E is equal to or  greater than 50  but less than 600.
                              (3) The rate of 0.1  pounds  per million B.t.u.  of heat
                            input when  the heat  input  to  the  combustion  utut in
3-4-77
Copyright © 1977  by The Bureau of National Affairs,  Inc.

                   188
                                                                                                            79

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 491:0582
                                                                                              STATE AIR LAWS
 millions of B.t.u.'s per hour  is equal to or greater than
 600.
   (b)  Allowable  emissions  under subsection (a)  of this
 section are graphically indicated in Appendix A appended
 to tins Chapter.
§123.12. Incinerators.
   No person shall cause, suffer, or permit the emission to
the outdoor atmosphere of  paniculate  matter  from  any
incinerator, at  any time, in  such  a manner  that  the
paniculate  matter  concentration  in  the  effluent gas ex-
ceeds 0.1 grain  per dry standard cubic foot, corrected to
}2T( carbon dioxide.
§123.13. Processes.
   (a) Subsections (b) and (c) of this section shall apply to
all processes except combustion units and  incinerators.
   (b) No person shall cause, suffer, or permit the emis-
sion into the outdoor atmosphere of particulate  matter
from any process  listed  in  the following table,  at any
time, either in excess of the rate calculated by the for-
mula set forth in paragraph (2) of this subsection or in
such  a manner  that the concentration of particulate
matter  in the effluent  gas exceeds  0.02  grains per dry
standard cubic foot,  whichever is greater:
(I)  Table
                       TABLE  1
i'lOCfiS
 ].  Carbon black mfg.
 2.  Charcoal mfg.
 ;j.  Crushers or grinders or
    sci-'.-ens
 4.' P.-tint mfg

 5.  Phosphoric acid mig.

 6.  Detergent drying
 7.  Alfalfa dehydration
 8.  Grain elevators.
    Loading or unloading
 9.  Grain screening and
    cleaning
10.  Grain drying
11.  Meat smoking
12.  Ammonium  nitrate mfg..
    Granulator
hi.  K'iroalloy production
    furnace
1-4.  PiniMiry 11011 anri/oi
    sice! making.
    Iron production
    Sintenrig  windbox

    Steel production
    Scarfing
15.  1'iiinary lend production.
    Roasting
    Sintering, windbox
    Lead teduction
36.  Primary zinc
    pioductrm
    Roasting
    Sintering: windbox
    /me reduction
Process Factor, F
500 Ibs./ton of product
400 Ibs./ton of product

20 Ibs./ton of feed
0.05 Ibj./ton of pigment
handled
b Ibs./ton of phosphorous
burned
30 Ibs./ton of product
30 Ibs./ton of product

90 Ibs./ton of grain

300 Ibs./ton of grain
20C Ibs./ton of product
0,01 Ibs./ton of meat

0.1 Ibs./ton of product

0.3 Ibs./ton of product
100 Ibs./ton of product
2C Ibs./ton of dry solids
ieed
40 Ibs./ton of product
20 Ibs./ton of product

0.004 Ibs./ton of ore feed
0.2 Ibs./ton of sinter
0.5 Ibs./ton of product
3 Ibs./ton of ore feed
2 Ibs./ton of product
10 Ibs./ton of product
                             '7.  Secondary aluminum
                                 production:
                                 Sweating

                                 Melti. „ and refining
                             18.  Brass ;.r.d bronze
                                 production.
                                 Melting and refining
                             19.  Iron foundry:
                                 Melting.
                                 5T./hr. and less
                                 More than 5T./hr.
                                 Sand handling
                                 Shake-out
                             20.  Secondary lead
                                 smelting
                             21.  Secondary magnesium
                                 smelting
                             22.  Secondary zinc
                                 smelting.
                                 Sweating
                                 Refining
                             23.  Asphaltic concrete
                                 production
                             24.  Asphalt roofing mfg:
                                 Felt saturation
                             25.  Portland cement mfg:
                                 Clinker production
     Clinker cooling


 26.  Coai dry-cleaning
 27.  Lime calcining

 28.  Petroleum refining;
     Catalytic cracking
29.  Pressed, blown and
     spun glass, glass pro-
     duction melting furnaces.


  (2) Formula
                             50 Ibs./ton of aluminum
                             product
                             10 Ibs./ton of aluminum feed
                    20 Ibs./ton of product


                    150 Ibs./ton of iron
                    50 Ibs./ton of iron
                    20 Ibs./ton of sand
                    20 Ibs./ton of sand

                    0.5 \bs./ton of product

                    0.2 Ibs./ton of product


                    0.01 Ibs./ton of product
                    0.3 Ibs./ton of product

                    6 Ibs./ton of aggregate feed

                    0.6 Ibs./ton of asphalt used

                    150 Ibs./ton of dry solids
                    feed
                    50 Ibs./ton of product


                    2 Ibs./ton of product
                    200 Ibii./ton of product


                    40 Ibs./ton of liquid feed


                    50 Ibs./ton of fill
    A =
    A =
    E =
    F =
0.76E042,  where:
Allowable emissions in Ibs./hr.
Emission  index  = F x W  Ibs./hr.
Process factor in Ibs./unit, and
    W  = Production or charging rate in units/hr.

     The factor F shall be obtained from Table 1. The units
   for F and W shall be compatible.

     (3) Allowable emissions.  Allowable emissions  under
   this subsection are graphically indicated in Appendix  B
   to this Chapter.

    (c) For processes not listed in subsection (b)(l) of this
  section, the following shall apply:

     (1) Prohibited emissions. No person shall cause, suffer,
   or permit the emission into the  outdoor atmosphere of
   particulate matter from any process not listed in subsec-
   tion (b)(l) of this section in such a manner that the con-
   centration of paniculate matter in the effluent gas, at any
   time, exceeds any of the following:

    (i) 0.04 grains per dry standard  cubic foot, when the
  effluent gas volume is  less than  150,000  dry standard
  cubic feet per minute.
                                               Environment Reporter

                                                        189
                                                                                  80

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 PENNSYLVANIA CONTAMINANTS
                                                                             S-.l IH
                                                                         401:0583
   (ii) The rate determined by Ihe Ibrmuia:
   A = 6000E -',  where:
   A = Allowable emissions  in grains per dry standard
 cubic foot, and
   H = Effluent gas volume in dry standard cubic feet per
 minute,
 when E is equal  to or greater than 150,000 but less than
 300,000.
   (iii) 0.02 grains per dry standard cubic foot, when the
 effluent gas volume is greater than 300,000 dry standard
 cubic feet per minute.
   (2) Allowable  emissions. Allowable emissions under
 this subsection are graphically indicated in Appendix C
 appended to this Chapter.

           SULFUR COMPOUND EMISSIONS

 §123.21.  General.
   (a) This section shall apply to all sources, except those
 subject to the provisions of other sections of this Article,
 with respect to the control of sulfur compound emissions.
   (b) No  person shall cause,  suffer,  or permit the emis-
 sion into  the  outdoor atmospheie of sulfur oxides, from
 any source, in such a manner that the concentration, at
 any time,  of  the sulfur oxides, expressed as S02, in the
 effluent gas exceeds 500  parts  per  million,  by volume
 (dry basis).
 §123.22.  Combustion units.
   (a) Prohibited emissions  in general.  This subsection
shall apply  to  all  combustion units in  all the air basins
except those units subject to the provisions of subsi'ct;--.n
(b) of  this  section.  No person  shall  cause, suffer,  or
permit  the  emission into  the  outdoor  atmosphere  of
sulfur  oxides,  expressed as SO^, fiom  any combustion
unit, at any time, in excess of any of the following.
   (1) The rate of three  pounds per million B.t.u. of heat
input when  the heat input  to  the combustion  unit  in
millions of  B.t.u.'s per  hour is  greater  than 2.5  Dut less
than 50.
   (2) The rate  determined by the following formula.
where:
   A=Allowable emissions in Ibs  per million B.uu. of heal
input, and
   li=lleat  input  to  the combustion  unit in millions  of
B.t.u.'s per hour,
when E is equ.il to or greater than  50  but less ihan 2,000.
   (3) The  rate of 1.8  pounds pei million B.t.u. of 'neat
input when the  heat  input  to  the combustion unit  in
millions of  B.t.u.'s  per houi is  equal  to  or greater  than
2,000.

   (b) Specific locations. This subsection shall apply to  
-------
 491:0584
                                    STATE AIR LAWS
 §123.24.  Primary zinc smelters.
   (a) No person shall cause, suffer,.or permit the emis-
 sion into the outdoor  atmosphere of sulfur oxides, from
 any /inc  roasting operation, in such a manner that the
 concentration of sulfur oxides, expressed  as SO2 in the
 effluent gas exceeds 500 parts per million by volume (dry
 basis) calculated as a two-hour moving average.
   (b) No person shall cause, suffer, or permit the emis-
 sion into the outdoor  atmosphere of sulfur oxides, from
 any zinc sintering operation, at any time in excess of the
 rate calculated by  the following formula:
   Y = 0.054X, where;
   X =  Calcine feed rate to the sinter plant (Ibs/hr), and
   Y = Allowable sulfur  oxide emissions  (Ibs/hr).

                  ODOR EMISSIONS

 §123.31.  Limitations.
  (a) (1)  No person shall  cause, suffer or permit, at any
time, any emissions from the following  processes unless
the emissions have  been  incinerated  at  a  minimum of
1200  degrees  F.  for at least  0.3 seconds  prior to their
emission  into  the  outdoor  atmosphere:   chip  dryers,
animal   blood  dryers, asphalt  oxidation,  asphalt  roofing
manufacture,  brake shoe debondmg operations,   core
ovens,  rendering  cookers, varnish  cookers, paint-baking
ovens,   meat  smokehouses  other   than  those in  single
family   farms,  plastic  curing ovens,  fabric-backing and
fabiic-coating baking ovens, ovens for  curing of binders in
mineral  wool  production,  meat  processing  other  than in
single family farms, tear gas  manufacture and sources of
hydrogen  sulfule or mercaptans.  (2) Techniques  other
than  incineration  may  be  used   to  comply  with  the
provisions of clause (1) this  subsection if  it is shown 10
the satisfaction of  the  Department that  such techniques
aie equivalent to or exceed  the required incineration in
terms of control of the odor emissions.
  (b) No  person  shall  cause,  suffer, or permit the  emis-
sion into  the outdoor atmosphere of any malodorous air
contaminants from  any source, including those in  com-
 pliance  with the  provisions of  subsection  (a)  of this
 section,  ui  such  a manner  that the muiodors are detect-
 able beyond the property of the person.

                  VISIBLE  EMISSIONS

 §123.41. Limitations.
   No person shall cause, suffer,  or permit  the  emission
 into  the outdoor atmosphere of  visible air contaminants
 in such a  manner  that  the  opacity  of the emission is
 either of the following:
   (1) Equal to  or greater than 20 percent for a period or
 periods aggregating more than 3 minutes in any one hour;
 or
   (2) Equal to or greater than 60 peicent at any time.

 §123.42. Exceptions.
   The limitations of  §123.41  of ihis Title (relating to
 limitations)  shall  not apply  to a visible emission in any of
 the following instances:
   (1) When the  presence  of uncombined water is the
 only  reason tor  failure  of the  emission  to meet the
 limitations.
   (2) When  resulting  from  the operation of equipment
 used  solely  to train and test persons in observing the
 opacity of visible emissions.
   (3) When  from sources specified in  §123.1 (a) (1) -
(9) of this Title  (relating to permitted fugitive emissions).


 §123^.43. Measuring techniques.
   Visible emissions may be  measured using either of the
following:

   (1) Any device approved  by the Department and main-
tained to provide accurate opacity  measurements.
   (2) Observers,  trained and qualified to measure plume
opacity  with the naked eye or with the aid of any devices
approved by the  Department.
                                              Environment Reporter
                                                          191
                                                   82

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PENNSYLVANiA CONTAM'^.-,-V-
                                                                                             S - J. 0 -

                                                                                          491:0585
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-------
491:0586
                                 STATE AIR LAWS
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-------
  PENNSYLVANIA CONTAMINANTS
                                                                                    S 2 0 '1


                                                                                 491:0587
                                        AlTliNDIX C




            PARTICULATE MATTER- PROCESSEC  NOT LISTED IN TABLE I
    100,000
0.04
QOS-
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                                  GAS  VOLUME,  DRY  SCFM
                          Copyright 
-------
491:0588
                                                               STATE AIR LAWS
                                           AIM'KNDIX D
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                                        Environment Reporter

                                               195
                                                                                              62

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                               APPENDIX F
                              HOURLY MODEL

The basis for our modeling evaluation of peak 3-hour and 24-hour S0~ concen-
trations in the metropolitan Philadelphia AQCR for the base year and pro-
jection years was the EPA UNAMAP Model PTMTP.   The current version of PTMTP
calculates hourly pollutant concentrations at selected receptor locations
based upon emission characteristics of multiple point sources.  Receptor
input parameters are the easting and northing coordinates and the height
of the receptor above ground.  Source inputs include the easting and
northing coordinates, emission rate, stack height,, stack diameter, stack
gas exit velocity and stack gas temperature.  Hourly meteorological
inputs are the wind direction, wind speed, atmospheric stability index,
mixing height and ambient temperature.  Hourly ground level concentrations
are calculated by use of the Pasquill-Turner dispersion curves-^ and the
Briggs plume rise formulation. •"•"

For this particular study GCA was required to make the following modifica-
tions to PTMTP:
   1.  Input formats were changed to enable more effective batch
       processing.
   2.  To minimize core storage requirements,  source parameters
       are not stored.  Concentrations at a given receptor for a
       particulate hour are elevated on a source by source basis.
   3.  A source receptor file of 24-hour and running 3-hour con-
       centrations is written in tape.
                                196

-------
   4.  The model now provides for area source inputs by means of
       an algorithym similar to that used in the AQDM,1 except
       that the angle used in the effective area and distance cal-
       culation is no longer fixed at 22-1/2 degrees but depends upon
       the atmospheric stability index for the hour in question.
   5.  A stability dependent wind profile was included to provide
       more realistic estimates of stack top wind speeds.
Since a simulation of all possible "worst day" conditions for all com-
binations of wind speed, wind direction, atmospheric stability and mixing
height was not practical for such a large number of point and area
sources, we choose a winter day in 1975 during which relatively high 24-
hour and running 3-hour concentrations were observed (see Tables F-l and
F-2).

As may be seen from the surface map shown in Figure F-l for January 24,
the study area was under the influence of a large high pressure system
centered off the middle Atlantic coast, causing a rather strong sub-
sidence inversion for most of the day.  Hourly meteorological inputs to
our short-term model for this day are presented in Table F-3.   The
ceiling height, wind speed, solar elevation angle and cloud cover were
used in the determination of the stability index according to Turners'
method.^

Mixing heights used in the model are determined from the intersection of
the 1200 GMT RAOB temperature profile and the potential temperature
based on the surface RAOB pressure at 1200 GMT and the following surface
temperatures:
       Temp code 1 - Minimum temperature 0200 through 0600 LST plus 2.5°c
       Temp code 2 - Minimum temperature 0200 through 0600 LST plus 5.0°C
       Temp code 3 - Minimum temperature 0200 through 0600 LST plus 7.5°C
       Temp code 4 - Minimum temperature 0200 through 0600 LST plus 10.0°C
       Temp code 5 - Temperature at 13 LST
       Temp code 6 - Temperature at 16 LST
       Temp code 7 - Temperature at 19 LST

                                 197

-------
     ^^m^^¥^m
     •$&K '%> y/j/rLl... ;^>a»i&g8&r *1
SURFACE; WEATHLR MAI
AND STATION WtafHER
 AT 7 OO A M E S T
     Figure F-l.  Surface weather map at 7:00 a.m.  EST for
                January 24,  1975
                        198

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              0.
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                                   199

-------
Table F-l.  HOURLY S02 MEASUREMENTS
            FOR JANUARY 24,  1975
              AT PHILADELPHIA SITES
Hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
24-hour average
Delaware
and
Allegheny
78
78
104
156
208
156
156
130
n 14
Camp
Station
234
234
208
182
156
182
208
208
208 182
260 234

260
416
468
286
208
208
234
156
104
104
104
104
78
185
312
936
702
-
494
520
442
364
286
156
130
156
312
364
320
AMS11
Lab.
286
234
286
312
286
208
182
364
702
546
702
1014
572
676
676
442
312
338
260
208
208
286
286
234
401
South13
Broad
182
182
130
-
130
130
208
208
208
520
832
988
598
546
598
390
416
390
208
130
104
156
312
52
337
200

-------
Table F-2.  RUNNING 3-HOUR S02 CONCENTRATION MEASUREMENTS
            AT PHILADELPHIA SITES FOR JANUARY 24,  1975
Starting hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
Delaware
and
Allegheny
87
113
156
173
173
147
165
199
-
-
-
381
390
321
234
217
199
165
121
104
104
95
Camp
Station
225
208
182
182
182
199
199
208
243
494
650
-
-
485
442
364
269
191
147
199
277
AMS
Lab.
269
277
295
269
225
251
416
537
650
754
763
754
641
598
477
364
303
269
225
234
260
269
South
Broad
165
-
-
-
156
182
208
312
520
780
806
711
581
511
468
399
338
243
147
130
191
173
                        201

-------
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-------
Temperature code 2 was chosen to represent the morning mixing height and
the largest of codes 5 through 7 for the afternoon mixing height.^

The way in which hourly urban mixing heights are determined from maximum
mixing heights (MXDP) for yesterday (i-1), today (i) and tomorrow  (i+1)
and minimum mixing heights (MNDP) for today (i) and tomorrow  (i+1) is
depicted in Figure F-2.  For urban mixing height between midnight and
sunrise the following procedure is used:  if the stability is neutral
interpolate between MXDP-^_]^ and MXDPi (T) , if stability is stable use
MNDPi (2) .  For hours between sunrise and 1400, if the hour before sun-
rise was neutral, interpolate between MXDPi-1 and MXDPi Q3) .  For sunrise
to 1400, if the hour before sunrise was stable, interpolate between MNDPi
and MXDPi © •  For 1400 to sunset, use MXDPi (5)  .  For hours between
sunset and midnight; if stability is neutral interpolate between MXDPi and
MXDPi+1 © > if stability is stable interpolate between MXDPi and
MNDPi+1 Q .

Since no temperature soundings were taken at Philadelphia on 25 January,
the determination of evening hourly mixing heights is more difficult.  In
the absence of rainfall or a frontal passage one would expect the
morning mixing height on 26 January to be lower than the afternoon value
measured the previous day.  By 7:00 a.m. EST on 25 January, however, light
rain had moved into the Philadelphia area, a condition which, according
to Holtzworth, *-° would lead to higher morning mixing heights  than would
have been observed in the absence of precipitation.  Under these cir-
cumstances we felt that the best procedure would be to set the evening
hourly mixing heights equal to the maximum afternoon value.  Calculated
mixing heights for all hours on 24 January are presented in Table F-3.

For this worst day simulation the calculated concentrations were calibrated
with a slope of  1 and a background of 0, as was done with the annual means
calculated with AQDM.  The SC>2 half-life was estimated to be  3 hours, the
same value which was used in AQDM, but the average annual area source
emission rates were multiplied by 2.0 to account for the greater space

                                203

-------
heating demands during this period.  A preliminary run of the model showed
a sizeable under prediction for the 1-hour and 24-hour concentrations at
the monitor locations.  This problem was traced to the assumption of zero
contribution for those sources with a plume rise above the mixing height.
In many cases this lead to a sizable reduction in the concentrations
which would have been predicted at the model receptors.  Since the
relatively low mixing height on this day appeared to be one of the major
reasons for the high concentrations and due to the uncertainties inherent
in the hourly mixing height determination method, it was decided to limit
the plume height to the value of the hourly mixing height.

In Table F-4 we present a list of calculated 24-hour and peak 3-hour SO-
concentrations at 22 receptor locations.  Fourteen of these locations are
actual monitoring sites while the other eight represent receptors with
high annual SO  levels based upon the base year AQDM run.  Hourly com-
parisons of calculated and measured S02 concentrations for the three
monitoring sites are presented in Figures F-3a through F-3c.   These
comparisons reveal several obvious problems with the model calculations.
The rapid change in calculated concentrations from 1 hour to the next
indicates that the primary contribution to these calculated values comes
from large point sources upwind of the receptor locations.  The airport
wind directions used in the model do not give a proper indication of
pollutant transport since they represent only a single measurement a few
minutes before the end of the hour and they are only specified to the
nearest 10 degrees.  An examination of the calculated concentrations for
each of the actual and the hourly surface meteorological data presented
in Table F-3 shows that the highest calculated concentrations were
obtained when the wind direction was 230 degrees.  If this heading is
followed from each of the receptor locations, we pass almost directly
over some of the largest SO,, point sources in the inventory.   This wind
direction in combination with the location of these sources and the
relatively low mixing height, is almost surely responsible for the large
midday peak in the observed concentration which occurs at the same time
period during which the highest calculated values are obtained.  If more
                                 204

-------
 Table F-4.   CALCULATED  24-HOUR AND  PEAK 3-HOUR S02 CONCENTRATIONS AT
               ACTUAL AND  MODEL RECEPTOR LOCATIONS FOR JANUARY 24, 1975
West to East
coordinate, X
452.81
461.48
447.16
447.11
452.87
455.00
489.40
491.70
479.40
520.00
491. CO
487,20
486.00
485.10
480.00
485.00
485.00
485.00
490.00
490.00
490.00
495.00
South to North
"ocrdmate, Y
4388.84
4406.37
4399.05
4390.73
4398.10
4396.23
4421.41
d
4419.00
4408. 70S
4452. 00f
4<»28.54a
4417.33
4421. 65b
4422.83°
4420.00
4415.00
4420.00
4425.00
4415.00
4420.00
4425.00
4430.00
T
24-Hour concentration, ijg/m
Calculated
69
23
3
4
20
20
99
64
58
68
118
112
126
104
149
91
130
128
34
115
130
157
Measured






58
24
55
401
337
320








Peak 3-Hour concentration, ug/m-'
Calculated
236
66
11
20
124
68
251
126
194
139
194
192
281
203
335
277
319
230
88
232
267
252
Measured






113
48
96
763
806
650








AMS Laboratory
South Broad Street
Camp Station
Camden Trailer
Paulsboro
Trenton
                                   205

-------
      1000 -
                                                 MEASURED
                                                 CALCULATED
                                                 CALCULATED  WITH WIND
                                                 DIRECTIONS CHOSEN
                                                 RANDOMLY  WITHIN A 10
                                                 DEGREE INTERVAL CENTERED
                                                 ABOUT 230 DEGREES.
                                10   12   14
                                    HOUR
                                               24
Figure F-3a.
Measured and  calculated hourly concentrations for  the
AMS  lab site
                                    106

-------
     1000
      900 -
                            10  12
                              HOUR
Figure F-3b.
Measured and calculated hourly  concentrations at the
South Broad Street site
                              207

-------
  1000
   900 -
                          10   12
                           HOUR
                                   22  24
Figure F-3c.
Measured and calculated hourly  concentrations at the
Camp Station site
                            208

-------
representative wind direction data could have been used, the temporal
distribution of calculated hourly concentrations would probably have been
closer to the measured distribution.  That this overall underprediction
and extreme variation in hourly predicted levels is due in part to the
choice of wind direction can be seen by examination of Figure F-4,
where we have calculated hourly concentrations with the wind directions
chosen randomly within a 10 degree interval centered about 230 degrees.
Of even more value in the calculation would have been wind data from a
sufficiently large number of stations so that air parcel trajectories
could have been calculated.

Even if the temporal distribution could be made to agree, there remains
the problem of a general underprediction of even the highest hourly con-
centrations especially during the observed midday peak.  This under-
prediction might have been corrected if a fumigation model   could have
been used, but this would have required a more detailed analysis of daily
mixing height variations, for which sufficient data was not available.

To determine whether the rather poor performance of the model was due to
the meteorological characteristics for the particular day in question, we
ran the model for a second day, August 30, 1974.   The surface map for
7:00 a.m. on this date (Figure F-4) shows a very warm southwesterly flow
over the Philadelphia area with a cold front and associated wave distur-
bance to the west.   Unlike the winter's day studied earlier,  mixing heights
averaged over 1,000 meters with superadiabatic conditions prevailing at
midday until a line of thunderstorms moved through the area,  drastically
reducing the measured hourly SO  concentrations.   As can be seen from the
hourly surface observations (Table F-5), the arrival of the squall line
at 2:00 p.m. was accompanied by gusty winds shifting to the north.  In
Table F-6 we present the hourly 24-hour average S09 concentrations
measured at four locations along with the predicted 24-hour values.   Al-
though the predicted 24-hour values correlate poorly with the measurements,
the magnitudes of the 24-hour predictions are more reasonable than was the
                                 209

-------
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-------
Table F-6.  HOURLY SO, MEASUREMENTS (yg/m3) AT PHILADELPHIA
            SITES FOR AUGUST 30, 1974
Hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
24-hour average
Predicted
Southeast
Sewer
0
26
0
0
0
0
0
0
0
26
26
26
0
0
0
0
0
0
0
0
0
0
0
0
4.3
43.2
CAMP
Station
78
26
26
78
104
78
130
182
182
338
312
182
78
78
78
26
0
0
0
0
0
0
26
0
80.2
36.9
AMS
Laboratory
26
0
0
26
52
52
26
52
104
182
130
78
26
52
26
0
0
0
0
0
0
0
0
0
34.7
64.3
South
Broad
26
0
52
104
104
130
156
156
312
182
156
78
52
78
52
0
0
0
0
0
0
0
26
52
81.2
71.4
                          212

-------
case for January 24, 1975.  This conclusion also holds for the comparison
of measured and calculated hourly SO  concentrations  (Figures F-5a through
F-5d).  Further examination of these curves reveals the following additional
features:
    •   The measured SOo concentrations show pronounced maxima at
        10:00 a.m. at three of the four stations, although the peak
        is not as strong as that displayed by the January 24, 1975
        measurements and occurs approximately 2 hours earlier, con-
        sistent with the earlier hour of sunrise and the greater solar
        elevation.
    •   The calculated SC>2 concentrations show rapid hourly variations
        due to the model assumptions regarding the specification of
        wind direction and its variation on an hourly basis.
    •   The model predictions of low concentrations after 4:00 p.m.
        are consistent with actual observations.
The similarity between the diurnal patterns of 862 hourly concentrations
for the two validation days suggest the importance of the fumigation process
in the determination of the associated 24-hour averages.  The fact that
our gaussian type model did not strongly underpredict the 24-hour S0~
concentrations for this day appears to be due to the fact that the fumiga-
tion effect was less pronounced than was the case for the January 24, 1975
validation day.  The only feature of the August 30, 1974 diurnal variation
of S09 concentrations the model was able to reproduce is the sharp drop
in measured concentrations associated with the midafternoon windshift.
It is not clear, however, that the fall in measured S0_ concentrations
after the passage of the squall line was due more to the windshift or
the effects of washout.

Based upon our analysis of both of the days, we must conclude that any
modeling approach to the analysis of 24-hour SO  concentrations in an
urban area must involve a detailed analysis of the fumigation process
together with a calculation of air parcel trajectories based upon wind
observations from more than one station.
                                213

-------
10
   350
   3OO
   250
  • 200
 <
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   ISO
   100
    50
     I   /
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                                            LEGEND:
                                                  —CALCULATED

                                                  -MEASURED
                                                    K
                              IO    12

                                 HOUR
                         14
16
                                   18   20   22   24
Figure F-5a.
Measured and  calculated hourly concentrations for the

Southeast  Sewer Site
                                 214

-------
    350
                                                    CALCULATED
                                                    MEASURED  "1
Figure F-5b.
Measured and calculated hourly  concentrations for the
Camp Station Site
                               215

-------
     350
     300
      250
IO
 E
 ^

 o
    O
    o
    o
     200
      100
       50
                                              LEGEND
                                              	CALCULATED
                                              	 MEASURED
                                                         O
                                                        A
                                                             O--d
                                 10
                                   12
                                 HOUR
14
16
18   20
                   22   24
Figure F-5c.
           Measured and calculated  hourly concentrations  for the
           AMS Lab Site
                                216

-------
     350
    3OO -
     250 -
    zoo -
 o
 I-
 z
 ui
 o

 o
 u
                                                   -CALCULATED

                                                    MEASURED
                                                             2   24
Figure F-5d.
Measured and  calculated hourly concentrations  for  the

South Broad Street  Site
                                217

-------
                                   TECHNICAL REPORT DATA
                            (Please read Instructions on thi. reverse before complet.ng)
1  REPORT NO.
EPA 903/9-77-030
                              2.
                                                           3. RECIPIENT'S ACCESSION-NO.
4. TITLE AND SUBTITLE
 EMISSION INVENTORY AND SULFUR DIOXIDE ALTERNATIVES
 FOR THE METROPOLITAN PHILADELPHIA REGION
             5. REPORT DATE
              August 1977
             6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)

Victor Corbin
             8. PERFORMING ORGANIZATION REPORT NO.

               GCA-TR-77-09-G
9. PERFORMING ORGANIZATION NAME AND ADDRESS
GCA CORPORATION; GCA/TECHNOLOGY DIVISION
Burlington Road
Bedford,  Massachusetts 01730
                                                            10. PROGRAM ELEMENT NO.
             11. CONTRACT/GRANT NO.
              68-02-1376, TO 24
 12. SPONSORING AGENCY NAME AND ADDRESS
 Environmental Protection  Agency
 Region III
 Air  Programs Branch
 Philadelphia, Pennsylvania  19106
             13. TYPE OF REPORT AND PERIOD COVERED
              Final Report
             14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
 16. ABSTRACT
 The  Metropolitan Philadelphia  Interstate Air  Quality Control Region  is  currently not
 attaining the primary air  quality standards for sulfur dioxide,  total  suspended
 particulates, photochemical  oxidants and carbon monoxide.  This  contract updates the
 point source emission inventory for the region, develops an area emission inventory,
 and  calculates sulfur dioxide  concentrations  for a base year of  1974 and for
 selected future years.   In addition, alternative sulfur in fuel  strategies developed
 by  the cognizant air quality control agencies are modeled to determine  their effect
 with respect to the attainment and maintenance of ambient sulfur dioxide air quality
 standards.
17.
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
                                              b.IDENTIFIERS/OPEN ENDED TERMS
                             COSATI Field/Group
18. DISTRIBUTION STATEMENT

Unlimited  Distribution
19. SECURITY CLASS {This Report)
UNCLASSIFIED
21. NO. OF PAGES
233
                                              20. SECURITY CLASS (Thispage)
                                              UNCLASSIFIED
                                                                         22. PRICE
EPA Form 2220-1 (9-73)
                                            219

-------