EPA 904/9-77-030
Georgetown,
South Carolina
Air Quality Maintenance
Planning and Analysis
U.S. Environmental Protection Agency
Region IV
345 Courtland Street N. E.
Atlanta, Georgia 30308
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TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
1. REPORT NO. 2.
EPA 904/9-77-030
3. RECIPIENT'S ACCESSION NO.
4. TITLE AND SUBTITLE
Georgetown, South Carolina Air Quality
Maintenance Planning and Analysis
5. REPORT DATE
February 1977
6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Engineering-Science
7903 Westpark Drive
McLean, Virginia 22102
10. PROGRAM ELEMENT NO.
Task Order 12
11. CONTRACT/GRANT NO.
68-02-1380
12. SPONSORING AGENCY NAME AND ADDRESS
U.S. Environmental Protection Agency
Region IV, 345 Courtland Street
Atlanta, Georgia 30308
13. TYPE OF REPORT AND PERIOD COVERED
Final
14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
16. ABSTRACT
An area source emission inventory was developed for Georgetown County, South Caro-
lina. Baseline year emissions estimates were allocated to grids. The Air Quality
Display Model (AQDM) was used to determine the source-receptor relationship for the
baseline year. Using this baseline relationship and a projected emission inventory,
the AQDM was used to analyze air quality attainment and maintenance in 1980 and 1985.
Although all criteria pollutants were inventoried, only particulate emissions were
modeled.
Primary National Ambient Air Quality Standards for particulate were violated during
the baseline year. The analysis indicated that the standards will continue to be vio-
lated unless more stringent controls are adopted. Further study of weather conditions
and fugitive emissions from industrial point sources was recommended. Additional
modeling was attempted to incorporate industrial process fugitive particulate emissions
in the analysis.
KEY WORDS AND DOCUMENT ANALYSIS
a. DESCRIPTORS
b. IDENTIFIERS/OPEN ENDED TERMS
c. COSATI Field/Gtoup
Air Pollution
Air Quality Maintenance
Suspended Particulate
Air Quality Dispersion Modeling
South Carolina
Georgetown County
Emission Inventory
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Release Unlimited
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Unclassified
21. NO. OF PAGES
225
20. SECURITY CLASS (This page)
Unclassified
22. PRICE
EPA Form 2220-1 (R»». 4-77) previous edition is obsolete
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EPA Form 2220-1 (Rev. 4-77) (Reverie)
ii
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GEORGETOWN, SOUTH CAROLINA
AIR QUALITY MAINTENANCE
PLANNING AND ANALYSIS
Submitted to
South Carolina Department of Health
and Environmental Control Bureau
of Air Quality
United States Environmental Protection Agency
Region IV
Submitted by
ENGINEERING-SCIENCE
7903 Westpark Drive
McLean, Virginia 22101
February 1977
iii
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This air pollution report is issued by Region IV,
Environmental Protection Agency to assist state and
local air pollution control agencies in carrying out
their program activities. Copies of this report may
be obtained, for a nominal cost, from the National
Technical Information Service, 5285 Port Royal Road,
Springfield, Virginia 22151.
This report was furnished to the Environmental Pro-
tection Agency by Engineering-Science, McLean, Virginia
in fulfillment of EPA Contract No. 68-02-1380, Task Order
No. 12. This report has been reviewed by Region IV, EPA
and approved for publication. Approval does not signify
that the contents necessarily reflect the views and
policies of the Environmental Protection Agency, nor does
mention of trade names or commercial products constitute
endorsement or recommendation for use.
Region IV Publication No. 904/9-77-030
iv
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TABLE OF CONTENTS
Page
CHAPTER I INTRODUCTION 1-1
CHAPTER II POPULATION, EMPLOYMENT, AND LANDUSE II-l
1. POPULATION II-1
2. EMPLOYMENT II-4
3. LANDUSE PLANNING II-9
CHAPTER III GRID SYSTEM III-l
CHAPTER IV BASELINE YEAR EMISSIONS INVENTORY IV-1
1. RESIDENTIAL FUEL USAGE IV-I
2. COMMERCIAL/INSTITUTIONAL FUEL USAGE IV-2
3. AGRICULTURAL EQUIPMENT IV-2
4. SMALL GASOLINE ENGINES IV-5
5. CONSTRUCTION EQUIPMENT IV-6
6. RAILROAD LOCOMOTIVES IV-8
7. VESSELS IV-9
8. ROAD VEHICLES IV-13
9. AIRCRAFT IV-16
10. ON-SITE INCINERATION IV-16
11. OPEN BURNING IV-16
12. STRUCTURAL FIRES IV-18
13. WILD FOREST FIRES IV-19
14. PRESCRIBED BURNING IV-20
15. AGRICULTURAL BURNING IV-22
16. PAVED ROADS IV-22
17. UNPAVED ROADS IV-23
18. AGRICULTURAL TILLING IV-23
19. CONSTRUCTION OPERATIONS IV-25
20. SMALL POINT SOURCES IV-26
21. EMISSIONS SUMMARY IV-27
v
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TABLE OF CONTENTS (CONTINUED)
Page
CHAPTER V BASELINE YEAR EMISSIONS DISTRIBUTION V-l
1. RESIDENTIAL FUEL USAGE V-l
2. COMMERCIAL/INSTITUTIONAL FUEL USAGE V-l
3. AGRICULTURAL EQUIPMENT V-l
4. SMALL GASOLINE ENGINES V-2
5. CONSTRUCTION EQUIPMENT V-2
6. RAILROAD LOCOMOTIVES V-2
7. VESSELS V-2
8. ROAD VEHICLES V-3
9. AIRCRAFT V-3
10. ON-SITE INCINERATION V-3
11. OPEN BURNING V-3
12. STRUCTURAL FIRES V-3
13. WILD FOREST FIRES V-4
14. PRESCRIBED BURNING V-4
15. AGRICULTURAL BURNING V-4
16. PAVED ROADS V-4
17. UNPAVED ROADS V-4
18. AGRICULTURAL TILLING V-4
19. CONSTRUCTION OPERATIONS V-5
20. SMALL POINT SOURCES V-5
21. EMISSIONS ALLOCATION SUMMARY V-6
CHAPTER VI BASELINE YEAR ANALYSIS VI-1
1. POINT SOURCE EMISSION INVENTORY VI-1
2. AREA SOURCE EMISSION INVENTORY VI-2
3. METEOROLOGICAL DATA VI-5
4. AIR QUALITY DATA VI-10
vi
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TABLE OF CONTENTS (CONTINUED)
page
5. BASELINE YEAR MODEL CALIBRATION VI-12
6. BASELINE YEAR MODEL RESULTS VI-14
7. DISCUSSION OF RESULTS VI-16
CHAPTER VII PROJECTED EMISSIONS INVENTORY VII-1
1. RESIDENTIAL FUEL USAGE VII-2
2. COMMERCIAL/INSTITUTIONAL FUEL USAGE VII-5
3. SMALL GASOLINE ENGINES VII-5
4. CONSTRUCTION EQUIPMENT VII-6
5. RAILROAD LOCOMOTIVES VII-7
6. VESSELS VII-8
7. ROAD VEHICLES VII-8
8. AIRCRAFT VII-10
9. ON-SITE INCINERATION VII-11
10. OPEN BURNING VII-12
11. STRUCTURAL FIRES VII-13
12. PAVED ROADS VII-13
13. UNPAVED ROADS VII-14
14. CONSTRUCTION OPERATIONS VII-14
15. SMALL POINT SOURCES VII-15
16. PROJECTED EMISSIONS SUMMARY VII-16
CHAPTER VIII PROJECTED EMISSIONS DISTRIBUTION VIII-1
1. RESIDENTIAL FUEL USAGE VIII-1
2. COMMERCIAL/INSTITUTIONAL FUEL USAGE VIII-1
3. SMALL GASOLINE ENGINES VIII-2
4. CONSTRUCTION EQUIPMENT VIII-2
5. RAILROAD LOCOMOTIVES VIII-2
6. VESSELS VIII-2
7. ROAD VEHICLES VIII-2
8. AIRCRAFT VIII-3
vil
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TABLE OF CONTENTS (CONTINUED)
Page
9.
ON-SITE INCINERATION
VIII-3
10.
OPEN BURNING
VIII-3
11.
STRUCTURAL FIRES
VIII-3
12.
PAVED ROADS
VIII-3
13.
UNPAVED ROADS
VIII-4
14.
CONSTRUCTION OPERATIONS
VIII-4
15.
SMALL POINT SOURCES
VIII-4
16.
PROJECTED EMISSIONS ALLOCATION SUMMARY
VIII-4
CHAPTER IX PROJECTED AIR QUALITY
CHAPTER X CONCLUSIONS
APPENDIX A ANALYSIS OF INDUSTRIAL PROCESS FUGITIVE EMISSIONS
APPENDIX B AQDM CALIBRATION PRINTOUT
APPENDIX C AQDM BASELINE YEAR ANALYSIS PRINTOUT
APPENDIX D AQDM UNPAVED ROADS PRINTOUT
APPENDIX E AQDM PAVED ROADS PRINTOUT
APPENDIX F AQDM AREA SOURCES PRINTOUT
APPENDIX G AQDM 1980 PROJECTION ANALYSIS PRINTOUT
APPENDIX H AQDM 1985 PROJECTION ANALYSIS PRINTOUT
IX-1
X-l
viii
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TABLE OF CONTENTS (CONTINUED)
LIST OF TABLES
page
TABLE II-l POPULATION PROJECTIONS II-2
TABLE II-2 POPULATION GROWTH FACTORS II-5
TABLE II-3 POPULATION PROJECTIONS BY ENUMERATION DISTRICT II-6
TABLE II-4 NONAGRICULTURAL WAGE AND SALARY EMPLOYMENT
PROJECTIONS II-8
TABLE III-l GRID SYSTEM III-4
TABLE IV-1 1970 CENSUS DATA IV-3
TABLE IV-2 BASELINE YEAR EMISSIONS FROM RESIDENTIAL FUEL USAGE IV-3
TABLE IV-3 BASELINE YEAR COMMERCIAL/INSTITUTIONAL FUEL USAGE IV-4
TABLE IV-4 BASELINE YEAR EMISSIONS FROM C/I FUEL USAGE IV-4
TABLE IV-5 FUEL CONSUMED AND EMISSIONS FROM VESSELS IV-12
TABLE IV-6 COUNTY TRAFFIC AND ROAD DATA IV-14
TABLE IV-7 EMISSION FACTORS AND EMISSIONS FROM ROAD VEHICLES IV-15
TABLE IV-8 AIRCRAFT OPERATING DATA AND EMISSIONS IV-17
TABLE IV-9 WILD FOREST FIRES IV-20
TABLE IV-10 PRESCRIBED BURNS IV-21
TABLE IV-11 AGRICULTURAL DATA IV-24
TABLE IV-12 1975 BASELINE YEAR EMISSIONS SUMMARY (TONS/YR) IV-27
TABLE V-l 1975 BASELINE YEAR EMISSIONS ALLOCATION V-6
TABLE VI-1 POINT SOURCE EMISSION SUMMARY VI-2
TABLE VI-2 METEOROLOGICAL DATA SUMMARY FOR MYRTLE BEACH VI-6
ix
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TABLE OF CONTENTS (CONTINUED)
TABLE VI-3
TABLE VI-4
TABLE VI-5
TABLE VI-6
TABLE VI-7
TABLE VII-1
TABLE VII-2
TABLE VII-3
TABLE VII-4
TABLE VII-5
TABLE VII-6
TABLE VII-7
TABLE VII-8
TABLE VII-9
TABLE VII-10
TABLE VII-11
LIST OF TABLES
METEOROLOGICAL DATA SUMMARY FOR CHARLESTON
OBSERVED AIR QUALITY DATA (yg/m3)
BASELINE YEAR CONCENTRATION AT SEVEN ADDITIONAL
RECEPTORS (yg/m )
3
CALCULATED VS OBSERVED CONCENTRATIONS (yg/m )
SOURCE CONTRIBUTIONS TO TWO HIGHEST
CONCENTRATION RECEPTORS
BASELINE YEAR AND PROJECTED HOUSING STOCK
MEAN EMISSION RATES (LBS/DWELLING UNIT-YR)
BASELINE YEAR AND PROJECTED EMISSIONS FROM
RESIDENTIAL FUEL USAGE (TONS/YR)
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM COMMERCIAL/INSTITUTIONAL FUEL USAGE
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM SMALL GASOLINE ENGINES
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM CONSTRUCTION EQUIPMENT
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM RAILROAD LOCOMOTIVES
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM VESSELS
BASELINE YEAR AND PROJECTED ROAD VEHICLE
EMISSION FACTORS (G/MI)
BASELINE YEAR DATA AND PROJECTED EMISSIONS
m DATA ™ PE0JECIED 01135101,8
Page
VI-8
VI-10
VI-14
VI-16
VI-17
VII-3
VII-4
VII-4
VII-5
VII-6
VII-6
VII-7
VII-8
VII-9
VII-10
VII-11
x
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TABLE OF CONTENTS (CONTINUED)
LIST OF TABLES
TABLE VII-12
TABLE VII-13
TABLE VII-14
TABLE VII-15
TABLE VII-16
TABLE VII-17
TABLE VII-18
TABLE VII-19
TABLE VIII-1
TABLE VIII-2
TABLE VIII-3
TABLE IX-1
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM ON-SITE INCINERATORS
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM OPEN BURNING
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM STRUCTURAL FIRES
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM CONSTRUCTION ACTIVITY
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM SMALL POINT SOURCES
1980 PROJECTED EMISSIONS SUMMARY (TONS/YR)
1985 PROJECTED EMISSIONS SUMMARY (TONS/YR)
BASELINE YEAR AND PROJECTED TSP EMISSIONS
(TONS/YR)
MEAN TSP EMISSIONS (LBS/DWELLING UNIT-YEAR)
1980 PROJECTED EMISSIONS ALLOCATION
1985 PROJECTED EMISSIONS ALLOCATION
MAXIMUM CONCENTRATIONS (yg/m3)
FIGURE II-1
FIGURE III-l
FIGURE III-2
FIGURE VI-1
FIGURE VI-2
LIST OF FIGURES
GEORGETOWN COUNTY CENSUS DIVISIONS
GEORGETOWN COUNTY GRID SYSTEM
GEORGETOWN CITY GRID SYSTEM
GEORGETOWN COUNTY UNMODIFIED AREA SOURCE
EMISSION DENSITY
GEORGETOWN CITY UNMODIFIED AREA SOURCE
EMISSION DENSITY
xi
Page
VII-12
VII-12
VII-13
VII-15
VII-16
VII-17
VII-18
VII-19
VIII-1
VIII-5
VIII-6
IX-1
II-3
III-2
III-2
VI-3
VI-4
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TABLE OF CONTENTS (CONTINUED)
LIST OF FIGURES
Page
FIGURE VI-3
FIGURE VI-4
FIGURE VI-5
FIGURE VI-6
FIGURE VI-7
FIGURE VI-8
FIGURE VI-9
FIGURE VI-10
FIGURE IX-1
FIGURE IX-2
LOCATIONS OF MONITORING STATIONS
BASELINE YEAR CALIBRATION REGRESSION LINE
1975 CALCULATED CONCENTRATION FIELD (yg/m3)
ALL POINT AND AREA SOURCES
20 yg/m BACKGROUND INCLUDED
3
1975 CALCULATED CONCENTRATION FIELD (yg/m )
ALL AREA SOURCES
3
1975 CALCULATED CONCENTRATION FIELD (yg/m )
UNPAVED ROADS ONLY
3
1975 CALCULATED CONCENTRATION (yg/m )
PAVED ROADS ONLY
1975 CALCULATED CONCENTRATION FIELD (yg/m3)
ALL AREA SOURCES EXCEPT PAVED AND UNPAVED ROADS
3
1975 CALCULATED CONCENTRATION FIELD (yg/m )
ALL POINT SOURCES
1980 CALCULATED CONCENTRATION FIELD (yg/m3)
3
1985 CALCULATED CONCENTRATION FIELD (yg/m )
VI-11
VI-13
VI-15
VI-18
VI-19
VI-20
VI-21
VI-22
IX-2
IX-3
xii
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CHAPTER I
INTRODUCTION
Engineering-Science is under a continuing contract to the Environmental
Protection Agency, Region IV, to assist the South Carolina Department of
Health and Environmental Control (DHEC) in the analysis phase of the air
quality maintenance program. Earlier reports under this contract contained
the results of the analyses for the Greenville Air Quality Maintenance Area
(AQMA) and the Charleston AQMA consisting of parts of Charleston and
Berkeley Counties. This report documents the analysis for Georgetown
County.
The analysis phase of the air quality maintenance program determines
whether or not national ambient air quality standards will be attained and
maintained during the decade 1975 to 1985. The analysis consists of several
component parts:
o A baseline year county-wide comprehensive inventory of all point
and area sources,
o Allocation or assignment of county-wide sources to appropriate
sub-county areas or discrete locations,
o Dispersion modeling of the baseline year to determine the source-
receptor relationship,
o Projection of the baseline year county-wide area source emissions
and point source emissions to the planning years,
o Allocation or assignment of the projected emissions to sub-county
areas and locations,
o Exercise of the dispersion model to determine projected air quality.
The baseline year is 1975 and the planning years are 1980 and 1985.
All the criteria pollutants are considered: total suspendable particulate matter
(TSP), sulfur dioxide (SO^), carbon monoxide (CO), non-methane hydrocarbons
(HC), and oxides of nitrogen (NO ). Only TSP and S0„ concentrations are
X tm
amenable to dispersion modeling. Furthermore, very low levels of SO2 have
been observed in Georgetown County, and it is not considered necessary to
1-1
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conduct the complete analysis for this pollutant. Therefore, the allocation
and modeling components of the analysis apply only to TSP.
In general, Engineering-Science was responsible for the area source
emissions inventory, allocation, and projections, and the DHEC for point
sources. Engineering-Science maintained the Emission Inventory System
master file and performed the modeling work.
Throughout the project, wherever possible and to the degree possible,
the instructions contained in EPA documents and publications were followed.
In particular, reference is made to the following:
o Compilation of Air Pollution Emission Factors, AP-42 (Supplement No. 6).
o Guide for Compiling a Comprehensive Emission Inventory, APTD-1135.
o Guidelines for Air Quality Maintenance Planning and Analysis,
Volume 7: Projecting County Emissions,
o Guidelines for Air Quality Maintenance Planning and Analysis,
Volume 13: Allocating Projected Emissions to Sub-county Areas,
o 40 CFR 51. Maintenance of National Ambient Air Quality Standards.
In addition to this introduction this report contains a chapter which
summarizes the demographic and economic data upon which the inventory,
allocation and projections were based, and a chapter which describes the
sub-county grid system used for the dispersion model. The remaining six
chapters discuss the component parts of the analysis.
1-2
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CHAPTER II
POPULATION, EMPLOYMENT, AND LANDUSE
The general county demographic, economic and growth characteristics are
discussed separately in this chapter since population and employment pro-
jections and the location of the industry, housing, and commercial and
institutional establishments and transportation facilities required to
support the growth will in large measure determine the projection and
location of pollutant emissions. In Chapters VII and VIII of this report
emissions for each area source category will be projected to the 1980 and
1985 planning years and the projected emissions allocated to the appropriate
subcounty areas. For each source category the projections can be done in
one of three ways:
o A two-step approach in which county-wide emissions are projected
in accordance with some appropriate surrogate projection parameter
and then distributed to sub-county areas in accordance with in-
dependently determined allocation factor.
o Since baseline year emissions have been allocated to sub-county
areas, projection of the disaggregated totals directly may be made
for those source categories for which the required information is
available.
o A combination of the first two methods in which disaggregated
baseline year emissions are projected and then normalized to an
independently determined projected county-wide total. This
approach is the one most commonly used.
1. POPULATION
Baseline year and projected population estimates were available from the
Waccamaw Regional Planning and Development Council. These data are given
in Table II-l. Figure II-l shows the county census divisions for which
population estimates were made.
II-l
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TABLE II-l
POPULATION PROJECTIONS
1970
1975
1980
1985
Plantersville
2,499
2,506
2,693
2,794
Pleasant Hill-Folly Grove
3,059
3,487
3,747
3,888
Andrews
5,174
5,066
5,329
5,550
Georgetown
10,449
11,208
11,350
11,950
Georgetown Rural
5,189
6,499
6,914
7,477
Sampit-Santee
3,977
4,174
4,802
5,527
Waccamaw
3,153
3,129
4,313
5,182
Georgetown County
33,500
36,069
39,148
42,998
Seasonal^
16,675
24,638
32,852
Seasonal population includes occupants at seasonal or secondary homes
and occupants of transient lodging facilities. The figures given are
estimated average occupancy during the summer season; June, July, and
August.
II-2
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Figure II-l.
GEORGETOWN COUNTY CENSUS DIVISIONS
II-3
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Table II-2 shows the population growth factors for the county census
divisions from 1970 to 1985 normalized to the baseline year 1975. In
addition, for those divisions near the cities of Georgetown and Andrews,
growth factors for the city, the city fringe, and rural areas are shown
separately. The fringe areas extend a few miles outside the city limits
(see Chapter III). Beyond that distance, within the district, the rural
factors apply.
The seasonal population, affecting the Grand Strand (Waccamaw Census
Division) only, is expected to grow at a much faster rate than the
permanent population. However, the effect of the seasonal population
and its growth on particulate emissions is limited. Such effect will
be seen only in the road vehicle source category, reflecting increased
traffic and in the categories relating to construction: off-road vehicle
emissions and construction activity.
The 1970 population counts were available for the 29 enumeration
districts in the County. By combining this information with that in
Tables II-l and II-2 population projections were made for the enumera-
tion districts. The results are summarized in Table II-3.
2. EMPLOYMENT
Nonagricultural wage and salary employment data for 1974 were avail-
able from the South Carolina Employment Security Commission. These data
are shown in Table II-4. Manufacturing employment was listed for three
categories: food and kindred products, lumber and wood products and other
manufacturing products. The last category was further broken down from
employment totals given in the 1975 South Carolina Industrial Directory.
"Other Manufacturing" in Table II-4 includes not only SCC categories not
listed but also manufacturing employment not listed in the Directory.
Employment projections for 1990 were available from the Georgetown
County Development Plan. These projections showed an increase in employ-
ment of 224, from 1970 to 1990 based on a population increase of 15%. Later
II-4
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TABLE II-2
POPULATION GROWTH FACTORS
Plantersville
Pleasant Hill-Folly Grove
Andrews
City
Fringe Area
Rural
Georgetown
Georgetown Rural
Fringe Area
Rural
Sampit-Santee
Fringe Area
Rural
Waccamaw
Georgetown County
Seasonal
1970
1975
1980
1985
0.997
1.00
1.075
1.115
0.877
1.00
1.075
1.115
1.021
1.00
1.052
1.096
1.00
1.012
1.024
1.00
1.134
1.268
1.00
1.075
1.114
0.932
1.00
1.013
1.066
0.798
1.00
1.064
1.150
1.00
1.061
1.162
1.00
1.074
1.115
0.953
1.00
1.150
1.324
1.00
1.364
1.909
1.00
1.074
1.115
1.008
1.00
1.378
1.857
0.929
1.00
1.085
1.192
1.00
1.478
1.970
II-5
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TABLE II-3
POPULATION PROJECTIONS BY ENUMERATION DISTRICT
Enumeration Districts
1970
1975
1980
1985
Plantersville
1
1,508
1,512
1,625
1,686
2
991
994
1,068
1,108
Total
2,499
2,506
2,693
2,794
Pleasant Hill-Folly Grove
3
458
522
561
582
4
1,285
1,465
1,574
1,633
5
1,316
1,500
1,612
1,673
Total
3,059
3,487
3,747
3,888
Andrews
6
1,172
1,170
1,184
1,198
7
1,659
1,656
1,676
1,697
8
1,161
Fringe
512
581
649
Rural
598
643
667
9
1,182
Fringe
522
592
662
Rural
608
653
677
Total
5,174
5,066
5,329
5,550
Georgetown
13
1,480
1,588
1,608
1,693
14
766
822
832
876
15
1,329
1,426
1,444
1,520
16
1,053
1,129
1,143
1,204
17
1,342
1,439
1,457
1,534
18
917
984
997
1,050
19
956
1,025
1,038
1,093
20
0
0
0
0
21
789
846
857
902
22
1.817
1,949
1.974
2.078
Total
10,449
11,208
11,350
11,950
II-6
-------
TABLE II-3 (Cont'd.)
Enumeration Districts
1970
1975
1980
1985
Georgetown Rural
Sampit-Santee
Waccamaw
County Total
10
1,797
Fringe
1,635
1,734
1,899
Rural
758
814
845
11
1,874
Fringe
1,705
1,808
1,980
Rural
791
850
882
12
1,518
1.610
1.708
1,871
Total
5,189
6,499
6,914
7,477
27
1,565
Fringe
542
739
1,035
Rural
1,090
1,171
1,215
28
803
863
927
962
29
1,609
Fringe
558
761
1,065
Rural
1,121
1.204
1.250
Total
3,977
4,174
4,802
5,527
23
548
544
750
1,011
24
1,200
1,191
1,642
2,213
25
958
951
1,311
1,766
26
447
443
610
822
Total
3,153
3,129
4,313
5,812
33,500
36,069
39,148
42,998
II-7
-------
TABLE 11-4
NONAGRICULTURAL WAGE AND SALARY EMPLOYMENT PROJECTIONS
1974
1975
1980
1985
Manufacturing
4
,960
5
,041
5,545
6,095
Food and Kindred Products
100
102
102
102
Lumber and Wood Products
360
366
369
371
Paper and Allied Products
355
361
385
410
Textiles and Apparel
1
,145
1
,164
1,248
1,335
Primary and Fabricated Metals
1
,277
1
,247
1,375
1,512
Stone, Glass, and Clay Products
25
25
29
33
Printing and Publishing
28
28
31
35
Chemicals and Allied Products
18
18
21
24
Other Manufacturing
1
,702
1
,730
1,985
2,273
Contract Construction
460
467
501
552
Transportation, Communication, Utilities
310
315
313
344
Wholesale and Retail Trade
1
,750
1
,778
1,809
1,957
Finance, Insurance, Real Estate
380
386
461
535
Services
1
,370
1
,392
1,690
1,967
Government
1
,560
1
,585
1,740
2,009
TOTAL
10
,790
10
,964
12,059
13,459
II-8
-------
population projections, those upon which the data in Table II-l are based,
show an increase of 42% over the same period. The Development Plan project-
ions were adjusted upward to reflect this increased population growth. This
was done by using the Plan's employment to population ratios for each of the
planning years. The results are summarized in Table II-4.
Projections for each employment class were made from the 1972 OBERS
projections for the Florence, South Carolina Economic Area. The OBERS
projections are based on earnings in 1967 dollars. Employment projections
were made on this basis and then adjusted to the county total.
3. LANDUSE PLANNING
Four sources of information were available concerning projected land use:
o The Georgetown County Development Plan published in 1972. This com-
prehensive plan provides sufficient data on future land use to permit
adequate allocation of those emissions which depend upon land use and
transportation planning. However, the plan was based on very conserva-
tive growth parameters which must be updated.
o Georgetown Land Use Plan Update published in 1975. This 201 planning
document is limited to considerations of the Georgetown City urban
area.
o Regional Development Impact Matrix published in 1976. This document
provides a comprehensive overview of baseline year data but does
not provide future landuse information.
o Official Georgetown County Zoning Maps.
II-9
-------
CHAPTER III
GRID SYSTEM
Dispersion model inputs include, among other things, area source
grid system locations and dimensions. There is no need for the system
to be symetric and orthogonal. Rather the grid system should be
designed to best exploit the resolution of the basic data from which
emissions are calculated. This is the case for the grid system de-
signed for this project and shown in Figures III-l and III—2. The
system is designed around census enumeration districts, and, in fact,
with two exceptions, the grid subdivisions are congruent with enumeration
districts. These two exceptions are listed below:
o In those cases in which an enumeration district included both
rural and urban fringe areas, as defined by the Waccamaw Regional
Planning and Development Council and for which different population
projections are available, the district was subdivided in accordance
with the rural-urban fringe boundary. This exception applied to
districts 8, 9, 10, 11, 27, and 29. The urban fringe area is
designated as 8.2, 9.2, 10.2, 11.2, 27.2, and 29.2 in these districts.
o Enumeration districts 1, 2, 26, and 29 were too large for optimum
dispersion modeling. These districts were arbitrarily subdivided
into near equal parts.
Table III-l lists the sub-county area grids with the required location
and dimension information. In grid areas 1.1 and 29.1, both of which
contain large areas of wetland, the centroid location was adjusted toward
the centers of human activity.
III-l
-------
Figure 111 -1.
GEORGETOWN COUNTY GRID SYSTEM(1)
III-2
-------
Figure III-2.
GEORGETOWN CITY GRID SYSTEM01
^Grid numbering system 1s the same as enumeration district numbering
system with the exceptions noted on page III-l.
III-3
-------
TABLE III-l
GRID SYSTEM
GRID
CENTROID
LOCATION (UTM)
2
NO.
EAST
NORTH
AREA (Km )
1.1
667.3
3,713.4
166.3
1.2
665.8
3,703.9
91.9
2.1
663.8
3,720.1
102.4
2.2
656.0
3,713.5
118.5
3.0
659.7
3,727.4
39.1
4.0
655.2
3,733.1
85.9
5.0
650.4
3,722.5
107.3
6.0
634.1
3,701.5
2.5
7.0
632.7
3,702.0
2.6
8.1
642.1
3,708.4
89.1
8.2
636.6
3,703.0
24.5
9.1
644.3
3,696.5
57.2
9.2
635.6
3,698.5
46.6
10.1
655.1
3,705.2
65.3
10.2
660.3
3,701.5
27.4
11.1
647.8
3,704.0
106.5
11.2
653.6
3,695.9
27.6
12.0
660.2
3,696.8
28.1
13.0
659.4
3,694.7
1.5
14.0
658.9
3,694.0
0.5
15.0
657.6
3,695.0
1.9
16.0
656.9
3,693.9
2.5
17.0
658.4
3,693.3
0.8
18.0
659.3
3,693.3
0.9
19.0
660.3
3,692.7
0.8
20.0
660.9
3,693.2
0.2
21.0
659.3
3,691.5
3.1
22.0
658.1
3,689.2
3.6
III-4
-------
TABLE III-l (Cont'd)
GRID SYSTEM
23.0
680.2
3,710.4
23.5
24.0
677.0
3,710.4
52.3
25.0
669.1
3,699.7
32.9
26.1
670.2
3,695.5
51.4
26.2
665.2
3,688.1
68.1
27.1
648.8
3,687.2
118.2
27.2
655.3
3,689.2
34.3
28.0
635.2
3,692.0
113.9
29.1
655.6
3,680.0
224.1
29.2
657.3
3,684.4
11.2
29.3
638.3
3,683.0
168.6
III-5
-------
CHAPTER IV
BASELINE YEAR EMISSIONS INVENTORY
The 1975 area source emissions inventory includes 20 source categories
which emit particulates and, in some cases, one or more of the other criteria
pollutants.
There are eight other particulate categories for which emissions are
negligible or have been included in the point source inventory. These
source categories, listed below, are not considered further,
o Industrial fuel usage, area sources
o Internal fuel usage, area sources
o Slash burning
o Frost control
o Unpaved airstrips
o Mineral processing
o Windblown dirt
o Coal refuse burning
In addition, there are three source categories which emit only hydro-
carbons :
o Solvent evaporation
o Petroleum marketing
o Surface coating
The emission inventory for these three sources are not included in this
report.
For the 20 particulate source categories the following paragraphs
discuss the data requirements, data sources and availability, emission
factors, and the methodology for determining the county-wide emissions.
1. RESIDENTIAL FUEL USAGE
This source category includes emissions from the burning of residential
heating fuel. Emission factors based on quantity and type of fuel consumed
are found in AP-42.
IV-1
-------
Volume 7 of the Guidelines provides a method for determining the
antities of fuel consumed. Based on dwelling sise distribution and £ue
type distribution, both available fro. census information, and the number o^
heating degree days, available from the National Climatic Center, the metho
has been proS«ed for computational assistance. Table IV-1 seizes th.
rao independent distributions taken from the census data. The resulting
emissions are shown in Table IV-2.
2. rnMMF.RCIAL/INSTTTUTIONAL FUEL USAGE
This source category includes emissions from the burning of fuel for
commercial and institutional space heating. Emission factors, found in AP-
42, are based on quantity and type of fuel consumed.
In the planning stage of the Georgetown County analysis it was decided
that a fuel survey was unnecessary. It was suggested that the fuel survey
information gathered for the Charleston analyses might be extrapolated
for Georgetown County. Consequently, Berkeley County fuel use, on a Btu
basis, has been factored by the ratio of commercial/institutional employees
for the two counties, found in County Business Patterns.
1*!H x 7.82 x 1010 - 13.02 x 1010 Btu/yr
Total Btu were distributed among fuel type in accordance with the
distribution of LPG, gas, and oil among residential units. The results
are shown in Table TV-3 and TV-4.
3. AGRICULTURAL EQUIPMENT
This source category includes exhaust and evaporative emissions from
tractors and other self-propelled agricultural equipment. Emission factort
from AP-42, are based on the number of equipment operating hours.
Information concerning agricultural equipment was obtained from the
U. S. Department of Agriculture County Extension Agent for Georgetown
County. According to his estimates there were 325 tractors operating
IV-2
-------
TABLE IV-1
1970 CENSUS DATA
DWELLING SIZE
DISTRIBUTION
FUEL TYPE
DISTRIBUTION
SIZE
NO.
TYPE
Z
1
7,850
Natural Gas
3.5
2
176
LPG
13.0
3-4
109
Electricity
4.7
5-49
42
Oil
64.6
50+-
15
Coal
0.4
Mobile
570
Wood
None
13.6
0.2
Total
8,762
100.0
TABLE IV-2
BASELINE YEAR EMISSIONS FROM RESIDENTIAL FUTTT. USAGE
(TONS/YR)
FUEL TYPE
AMOUNT
TSP
CM
O
CO
CO
HC
NO
X
Natural Gas
16
x 106
ft3
0.1
Neg.
0.2
0.1
0.8
LPG
686
x 103
gal
0.6
Neg.
0.7
0.3
3.3
Distillate Oil^l.
,788
x 103
gal
2.2
25.4
4.5
0.9
16.1
Bituminous Coal^
79
tons
0.8
1.9
3.6
0.8
0.1
Wood
429
tons
3.6
Neg.
10.7
0.9
0.4
Total
7.3
27.3
19.7
3.0
20.7
0.2% S. Source: DHEC
(2)
1.25% S. Source: DHEC
IV-3
-------
TABLE IV-3
BASELINE YEAR COMMERCIAL/INSTITUTIONAL FUEL USAGE
FUEL TYPE
DWELLING
UNITS
1010 Btu
FUEL
USED
LPG (103 gal)
1,141
2.09
222
Natural Gas (10^ ft3)
308
0.56
5
Distillate Oil (103 gal)
5,658
10.37
741
Total
7,107
13.02
968
TABLE IV-4
BASELINE YEAR EMISSIONS FROM COMMERCIAL/INSTITUTIONAL FUEL USAGE
(TONS/YR)
FUEL TYPE
TSP
S°2
CO
HC
NO
X
LPG
0.2
Neg.
0.2
0.1
1.1
Natural Gas
Distillate Oil^
Neg.
0.7
Neg.
10.5
0.1
1.9
Neg.
0.4
0.3
8.2
Total
0.9
10.5
2.2
0.5
9.6
^ 0.2% S. Source: DHEC
IV-4
-------
in the county in 1975, 50% diesel and 50% gasoline, each operating 500
hours/year. The numbers of other self-propelled agricultural equipment
and LPG-fueled tractors were negligible.
AP-42 suggests that farm tractors are 30% diesel and 70% gasoline,
each operated 550 hours/year with fuel consumption of 1,641 gallons/year
for diesel and 1,258 gallons/year for gasoline tractors. On the other
hand, Volume 7 of the Guidelines suggests that farm tractors, nationwide
are 35% diesel, 60% gasoline, and 5% LPG-fueled, all with a fuel consumption
of 1,000 gallons/year. The 1974 Census of Agriculture reports 455 tractors
in Georgetown County. It is the opinion of the County Agent that many of
the tractors reported in the Census are not used to any significant degree.
In calculating the emissions below, the data provided by the County
Agent have been used.
TSP emissions:
325 x 0.5 x 500 x (0.136 + 0.018) x '2ocjo~ "6.3 tons/yr.
SO^ emissions:
325 x 0.5 x 500 x (0.093 + 0.012) x - 4.3 tons/yr.
CO emissions:
325 x 0.5 x 500 x (0.355 + 7.46) x 20qq m 317.5 tons/yr.
HC emissions:
[325 x 0.5 x 500 x (0.282 + 0.057) x 2ooo 3
+ [325 x 0.5 x 34.4 x 2000 ] ¦ 16.6 tons/yr.
NO^ emissions:
325 x 0.5 x 500 x (0.996 + 0.346) x - 54.5 tons/yr.
4. SMALL GASOLINE ENGINES
This source category includes exhaust emissions from small gasoline
engines of the types which would typically have a residential application,
IV-5
-------
e.g., lawn mowers, air compressors, generators, garden tractors, etc. It
does not include certain other classes of small engines which are included
under other source categories (outboard motors) or for which there are no
emission factors (chain saws). Emission factors, from AP-42, are based on
quantity of fuel consumed.
Volume 7 of the Guidelines suggests a consumption rate of 13 gallons/
person-year. Population estimates from Table II-l result in the following
county-wide fuel consumption and emissions:
Fuel consumption:
36,069 x 13 = 469 x 103 gal/yr.
TSP emissions:
469 x 10.7 x ¦ ^ ¦ =2.5 tons/yr.
2000 J
SO2 emissions:
469 x 5.17 x 2000 . 1>2 tong/yr>
CO emissions:
469 x 3,688 x 2000 = 864.8 tons/yr.
HC emissions:
469 x 399 x 2000 = 93.6 tons/yr.
NO emissions:
x
469 x 52.2 x ~2qqq~ = 12.2 tons/yr.
Emission factors were calculated assuming 10% two-stroke lawn and garden
engines, 45% four-stroke lawn and garden engines, and 45% four-stroke
miscellaneous engines.
5. CONSTRUCTION EQUIPMENT
This source category includes exhaust emissions from off-highway
construction equipment and other miscellaneous diesel engines not included
IV-6
-------
elsewhere. Emission factors from AP-42 are based on quantity of fuel con-
sumed.
APTD-1135 and Volume 7 suggest a factor of 5,000 gallons of diesel
construction equipment fuel usage per non-building construction employee.
In addition, 7.4 gallons/person-year is suggested as a factor for mis-
cellaneous diesel fuel consumption. With these factors a state-wide fuel
consumption can be calculated using the population estimates from the 1975
South Carolina Statistical Abstracts and the 1973 U. S. Department of
Commerce County Business Patterns:
(5,000 x 38,496) + (7.4 x 2,784,000) - 2.13 x 108 gal.
When compared to the total South Carolina off-highway and miscellaneous
diesel fuel consumption given in the 1974 Mineral Industry Survey (MIS)
(2.06 x 10 gallon), it is apparent that the fuel consumption factors
are too large.
In the AQMA analysis for Charleston it was found that construction
equipment and miscellaneous fuel usage for Berkeley County totaled 228,443
gallons. Fuel consumption for Georgetown County can be estimated from the
ratio of non-building construction employees between the two counties:
1 7ft *3
j— x 228,443 - 70 X 10J gal/yr.
County-wise emissions are calculated below:
0.9 tons/yr.
1.1 tons/yr.
3.3 tons/yr.
TSP emissions:
1
70 x 26.1 x
SC>2 emissions:
70 x 31.2 x
2000
1
2000
CO emissions:
1
70 x 95.2 x
2000
IV-7
-------
HC emissions:
70 x 29.1 x 2000 tons/yr.
NO emissions:
x
70 x 407 x 2000 14.2 tons/yr.
Emission factors were calculated as the averaee nf *n
average ot all equipment types.
6. RAILROAD LOCOMOTIVES
This source category includes eshaust amissions fro* dieael locoaotive3,
both line-haul and switch engi.es, as well as emissions from auxllIary equlp.
ment and probably some apace heating. Emission factors, from AP-42 L
based on quantity of fuel consumed. '
The Savannah Division of the „
j k k Seaboard Coast Line Railroad operates
one tram per day, both ways, through Andrews; an addition /
week, both ways from Andrews north; and urn S X trainS per
& a a r vides unscheduled freight service
between Andrews and Georgetown. There are 2 5 8 8ervlce
Georgetown County north of Andrews and 12 n mileS °f nainline track in
railway distance from Andrews to Georgetown is 15 ^ AndreWS* The
The AQMA analysis for Charleston showed that nati ^
switch engine fuel use may be estimated onwide line-haul and
Berkeley County, served by the Savannah D^ilion*1101*8' traitl~mlle' In
provided by Seaboard Coast Line inrH * U' actUal ^uel consumption
•^aaicated a value nf a 7
mile to be more accurate. Since the 4 7 gallons/train-
to the division serving Georgetown County ^train-mile specifically applied
than the nationwide factor. ' this faccor is more appropriate
Assuming that there are three trains
to Georgetown, county-wide train n,lles ™ "*"*• both from Andrews
tt-i/ if cn calculated bv
[(14 x 14.5) + (12 x 2.5) + (6
vo x 15)] x 52 « i6 7Qfi
and total fuel consumption is 7r q/-. ' n-miles/yr.
8,941 8aHons/year.
IV-8
-------
County-wide emissions are calculated below.
TSP emissions:
79 x 25 x 1 =1.0 tons/yr.
2000
S02 emissions, at 0.5% sulfur reported by the railroad:
79 x 57 x ¦?—r- x ¦ ^ ¦ 2.8 tons/yr.
0.4 2000
CO emissions:
79 x 130 x —-— - 5.1 tons/yr.
2000
HC emissions:
79 x 94 x —1— ¦ 3.7 tons/yr.
2000
NO emissions:
79 x 370 x „ j* - 14.6 tons/yr.
2000
7. VESSELS
This source category includes exhaust emissions from main propulsion
engines and auxiliary equipment from vessels and associated terminal equip-
ment. Emission factors, from AP-42, are based on quantity and type of fuel
burned. Three types of vessels are considered:
o Commercial vessels (dry cargo, tankers, ore barges,etc.)
o Recreational boats
o Miscellaneous vessels (tugs, dredges, etc.)
Commercial shipping statistics for 1974 for Georgetown Harbor and the
Intracoastal Waterway were obtained from Waterborne Commerce of the United
States. Part I. There were 2,108,756 tons of traffic handled at the port
including through traffic on the Waterway as follows:
o Oceangoing Traffic - 771,376 tons
o Waterway Traffic Southbound - 579,851 tons
IV-9
-------
o Waterway Traffic Northbound - 268,759 tons
o Through Waterway Traffic - 488,770 tons
Emissions from this traffic can be estimated with certain reasonable
assumptions and estimates discussed below.
o Ocean-going vessels are fueled 89% residual and 11% distillate. These
values are based on information found in the MIS for bunkering fuel
sold in 1973 in South Carolina. The 1973 values for the residual/
distillate split are believed to be more representative than 1974
because of the effect of the precipitous rise in fuel costs in 1974.
in this respect it is noted that while total freight traffic at
South Carolina ports showed little change between the years, residual
oil sales decreased nearly 50% and distillate oil sales decreased
1%. It can be concluded that ocean-going vessels purchased greater
quantities of fuel outside the United States in 1974 and that the 1974
data are non-representative of the sol-It- w
spilt between residual and
distillate fueled ships calling at Georgetown Port,
o All Intracoastal Waterway vessels are fueled with distillate oil.
o The 1974 values should be increased bv 4 Q'/
i. to-!/ j account for growth
between 1974 and 1975. This factor -u
1 < * -U ed 0n linear regression
analysis of the 1965 to 1974 data.
o Ocean-going vessels have a transit nf n
, t transit of 17 miies between the George-
town turning basin and the entrance to Winyah Bay.
O Waterway Traffic Southbound has a transit of 18 slthln
Georgetown County. in
o Waterway Tra'ffic Northbound has a transit of 19 nll , „
Georgetown County. ea
o Through waterway traffic has a transit 36
County. 1 68 Georgetown
1V-10
-------
o All vessels receive power and/or steam from the dock and engines
are shut down. Emissions from hoteling are negligible. This
operating practice was confirmed by Port Authority representatives.
o Energy requirements for water-borne freight movement are 590 BTU/
ton-miles based on values of 500 and 680 Btu/ton—mile reported in
The Effect of Fuel Price Increases on Energy Intensiveness on Freight
Transport, RAND Corporation, 1971; and Energy Intensiveness of
Passenger and Freight Transport Modes. Oak Ridge National Laboratory,
1973, respectively.
Fuel consumed by and emissions from commercial vessels are summarized
in Table IV-5.
In the Charleston AQMA analysis it was found that there were 0.086
recreational boats per capita in Berkeley County of which 90% regularly used
local waters. This factor included boats owned by local residents as well
as those brought in from other regions. All used gasoline-powered, outboard
motors. Because of the similarity of the two counties and the relative in-
significance of this source category, these factors may be used for Georgetown
County. Furthermore, Volume 7 of the Guidelines suggests that 160 gallons/
year is the average fuel consumption for recreational boats. Because the
recreational waters in Georgetown County are more extensive than the national
average and consequently accommodate larger boats, it is suggested that a
larger fuel consumption per boat would be appropriate. Fuel usage/boat was
assumed to be 240 gallons. No account was taken of boats brought in during
the seasonal influx of population on the Grand Strand. These boats would
operate off-shore and not affect Georgetown air quality. Fuel usage and
emissions are summarized in Table IV—5.
Fuel usage for miscellaneous vessels and terminal equipment was
factored from the Charleston AQMA analysis data in accordance with the
ratio of waterborne freight traffic handled by the two ports. Usage and
emissions are summarized in Table IV-5.
IV-11
-------
TABLE IV-5
FUEL CONSUMED AND EMISSIONS FROM VESSELS
FUEL CONSUMED (10 GAL)
EMISSIONS (TONS/YR)
TSP
SO,
CO
HC
NO
Commercial Vessels
Ocean-Going
Waterway Southbound
Waterway Northbound
(2)
Through Waterway
Recreational Vessels
(3)
County Total
Miscellaneous Vessels
(2)
County Total
Terminal Equipment
(2)
(2)
Georgetown Harbor
Total
(4)
(1)
(2)
(3)
(4)
Residual
Distillate
48
6
0.5
13.5
0.1
Neg.
1.4
—
46
2.4
0.6
2.5
1.2
6.2
—
23
1.2
0.3
1.3
0.6
3.1
—
78
4.1
1.1
4.3
2.0
10.5
Gasoline
744
Distillate
6
Gasoline
25
Diesel
28
Neg.
0.3
2.4 1,116.0
0.5
9.0
0.1
0.5
0.3
50.7
18.5 1,175.2
409.2
0.2
2.2
415.4
2.5
0.8
7.8
32.3
AP-42, Table 3.2.3-2, cruise mode, residual oil 3.5% S, distillate 0.4% S.
AP-42, Table 3.2.3-1, coastal waters; in the case of STP, AP-42, Section 3.2.3 dated 2/72.
AP-42, Table 3.2.4-1.
AP-42, Table 3.3.3-1, exhaust HC only.
-------
8. ROAD VEHICLES
-inr!udes exhaust emissions from road vehicles and,
This source category includes exnaus
j brake Wear, and for hydrocarbons, evapora
for particulate matter, txre and brak^ ^ ^ ^ ^ the
tive losses. Emission factors ar ^ ^ heavy dufcy vehicies both
number of vehicle miles travelled (
^ ^ i in the case of CO, HC, and NO , emissions vary with
gasoline and diesel. In trie case x v,flaed
u awor AP-42 provides average emission factors
vehicle speed and age. However, AP P
, j vehicle age mix. Average factors are used
on national average speeds and veni
here to calculate emissions for CO, HC, and
» aa-nv traffic (ADT) volumes for 1975 for all
A complete set of average dai y
a and «ome unimproved roads in the County was
primary and secondary roads and so , from
i. ^ una state Highway Department. In addition,
available from the South Carolina S .
1Q7o and 1974 ADT for city streets in Andrews and Georgetown
the same source, 1973 ana ly/'v AJJJ- i-*-
j .i-i, r.r.aH miles these data permitted a very complete
were available. Combined with road
j * - vmt for all paved roads and streets in each o
and accurate estimate of VMT ror v
sub-county grid areas. The results are summarized in Table IV-6.
There were insufficient ADT counts to determine VMT for unpaved roads,
most of which are primitive roads or non-connecting roads which would have
insignificant traffic when compared to the major highways in the County.
available. By assuming a nominal average au
However, unpaved road miles were
. 0j4liaf-merit to total VMT can be made to include
for unpaved roads of 25 an adjustme
these emissions. Table IV-6 shows the results.
It was determined in the AQMA analysis for Charleston that the proportion
of heavy duty vehicle miles travelled varied from 2 to 9% of total traf c
« ,1 4P-Jnation of the road. For circumferential arterial
depending upon the classification
and collector roads, the classification for most roads in Georgetown County,
the heavy duty vehicle traffic averaged 3% of the total. Further, in the
Charleston analysis, it was shown that 35.9 of heavy duty vehicle miles were
diesel vehicles. From the Charleston data, total Georgetown County, VMT are
estimated as follows:
IV-13
-------
TABLE IV-6
COUNTY TRAFFIC AND ROAD DATA
GRID PRIMITIVE UNIMPROVED PAVED
NO. (miles) (miles) (VMT)
1.1
1.2
2.1
2.2
3.0
4.0
5.0
6.0
7.0
8.1
8.2
9.1
9.2
10.1
10.2
11.1
11.2
12.0
13.0
14.0
15.0
16.0
17.0
18.0
19.0
20.0
21.0
22.0
5.8
3.2
1.6
10.5
1.1
6.0
17.7
3.5
19.9
2.6
13.4
24.1
18.6
4.2
10.7
9.2
8.6
7.0
36.1
10.7
4.1
13,851
5,203
8,398
19,594
4,711
13,810
14,809
12,782
7,218
25,538
13,670
32,668
27,878
15,935
22,310
5,902
33,963
20,878
17,109
7,878
13,666
1,952
7,445
17,623
3,805
1,200
9,625
19
GRID
NO.
primitive
(miles)
UNIMPROVED
(miles)
PAVED
(VMT)
23.0
—
—
35,515
24.0
1.6
6.6
58,809
25.0
3.9
3.9
46,355
26.1
3.2
6.3
44,495
26.2
4.4
—
27.1
12.1
16.5
17,921
27.2
0.5
8.5
26,324
28.0
7.6
15.4
25,251
29.1
14.8
4.0
13,585
29.2
1.0
0.5
3,439
29.3
2.0
19.5
22,160
Total
73.3
277.6
692,845
Total
VMT 1,832
6,940
692,845
County Total
701,617
-------
o Light duty gasoline VMT - 680,569
o Heavy duty gasoline VMT - 13,492
o Heavy duty diesel VMT - 7,556
Total 701,617
The introduction of the catalytic converter on 1974 model cars resulted
in increased use of unleaded fuel and a reduction in particulate emissions
from 0.54 g/mi to 0.25 g/mi. Assuming that 11% of vehicle miles travelled are
in automobiles one year old (as suggested in AP-42), the 1975 particulate
emission factor is:
(0.54 x 89)^(0.25 x 11) _ Q>51 g/mi
Particulate emission factors for heavy duty vehicles depends upon
the number of tires on the vehicle. Mean number of tires and emission factors
for heavy duty vehicles were determined in the Charleston AQMA analysis. The
emission factors were 1.29 g/mi for heavy duty gasoline vehicles and 2.13
g/mi for heavy duty diesel vehicles.
Emission factors and emissions are summarized in Table IV-7.
TABLE IV-7
EMISSION FACTORS AND EMISSIONS FROM ROAD VEHICLES
LDGV
HDGV
HDDV
FACTOR
EMISSIONS
FACTOR
EMISSIONS
FACTOR
EMISSIONS
(g/mi)
(tons/yr)
(g/mi)
(tons/yr)
(g/mi)
(tons/yr)
TSP
0.51
139.5
1.29
7.0
2.13
6.5
so2(1)
0.13
35.6
0.36
2.0
2.8
8.5
co<2)
61.1
16,715.5
61.1
331.4
61.1
185.6
HC^
8.8
2,407.5
8.8
47.7
8.8
26.7
NO
X
4.8
1,313.2
4.8
26.0
4.8
14.6
^ Source: AP-42
, Appendix D,
Tables 1-21
, 4-15, and
5-4.
Source: AP-42
, Appendix D,
Table 7-1.
IV-15
-------
missions £t°"ailcta£t md sto'1°d
j. AIJCBAffi es «haust • baMd upon engine-
,-re category found in
This JU. a-"*100 *"
M„dU»6 eqU"J?". ' „ cottnt, „oth operated for general
„o " °*°r®et^, provided by the airport manager.
*"ie Merational data for eac 8unMirize4 in Table IV-8.
aVlatldata and the result emissio
These aatd
10. sfcSlSMSSHS^ on3 from on-site incineration at
0 category includes e
This source establishments.
coffl»ercial and institut ^ ^ ^ inclnerators ta the
The D®C provided e"^S " i.o tons/yr. of CO.
MUnty= °£
u. oaS^SSSfflS eBls9lons from the open burning of
«, source category ^lu ^ industrial solid waste in open
<*1 commercial/ins lncl„erators and the disposal of
t"ident . ^ ^ amU ^ debIls by burning. Agricultural
Pits °r ral> land cleaning or c°nS^ted as normal agricultural or silvi-
agricultur^ » escribed burning, con U° source categories. Emission factors,
.«• waste burned,
cultural P . aed on quantity
found i» **"«• "e „ througho»t Georgetown County, twice a wee, m
solid waste is collected thr « ^ ^ ateas and disposed of by
, area and more frequently t0M/day. Solid waste generation is
the waste collection «*«a8' aveiage 5.5 Ihs/person-day. County-
landfil • „at ion-wide basis, waste would be generated
t-aA on a "av- - qq tons ox »UJ-
"' at this rate, appro**"*'" 1OT i3 efficient and virtually no
It appears that waste
per day- Xt W
Vaste is "»roed-
IV-16
-------
TABLE IV-8
AIRCRAFT
OPERATING
DATA AND
EMISSIONS
LTOs/YR
EMISSIONS (LBS/YR)
TSP
so2
CO
HC
NO
X
Georgetown County Airport
Single engine piston
5,600
112
78
68,320
2,240
263
Twin engine piston
2,750
110
77
67,100
2,200
259
Twin engine jet
300
66
222
9,480
2,160
960
Helicopter
50
12
9
285
26
29
Total
300
386
145,185
6,626
1,511
Overton Field
Single engine piston
350
7
5
4,270
140
16
Twin engine piston
200
8
6
4,880
160
19
Total
15
11
9,150
300
35
Total Georgetown County (tons/yr)
0.2
0.2
77.2
3.5
0.8
-------
The collection of waste, however, would not include that generated by
land clearing or construction nor, in most cases, residential yard debris,
principally leaves and prunings. Land clearing for agricultural purposes is
negligible since total farm land is not increasing. There were no large
construction projects which required land clearing in 1975. Improvement of
U.S. Highway #17 south of Georgetown required little open burning in 1975,
right-of-way improvement having been completed prior to this. Residential
yard debris burned is estimated to be 100 lbs/dwelling unit-year, and that
from construction at two tons/dwelling unit constructed. There were 11,216
dwelling units in the county in 1975, increasing at a rate of 191/year.
Emissions are calculated below:
TSP emissions:
£(27§00 X n'216 x 17) + (2 x 191 x 17)] x = 8.0 tons/yr.
SO^ emissions:
Negligible.
CO emissions:
t(li§0 x 11,216 X 60) + (2 X 191 x 50)] x " 26*4 ^ns/yr.
HC emissions:
[^2,000 X ^'216 x 20) + (2 x 191 x 4)] x 2000 s tons/yr.
NO emissions:
x
t^2,000 X ^'216 x 2) + (2 x 191 x 2)] x 2000 = tons/yr.
12. STRUCTURAL FIRES
This source category includes emissions from uncontrolled structural
fires. Structures burned in fire training exercises are not included.
No emission factors are available. Factors, from AP-42, applicable to
open burning of wood refuse were used.
Because of the minor nature of the source and the uncertainty of the
emission factors, total material consumed by structured fires was estimated
IV-18
-------
by population ratio from the Berkeley County data from the AQMA analysis
for Charleston.
Total material consumed:
6i'300 x 29,1 = 17,1 tons/yr-
TSP emissions:
17.1 x 17 x —-— - 0.1 tons/yr.
2000
SC>2 emissions:
Negligible.
CO emissions:
17.1 x 50 x * 0.4 tons/yr.
2000
HC emissions:
Negligible.
NO emissions:
x
Negligible.
1.3. WILD FOREST FIRES
This source category includes emissions from uncontrolled fires. Not
included are emissions from legal fires which are included in the prescribed
burning source category. Emission factors, found in AP-42, are based on
number of acres burned.
The number of fires and the acreage burned were provided by the South
Carolina State Commission of Forestry. These data are shown in Table IV-9.
IV-19
-------
TABLE IV-9
WILD FOREST FIRES
NO
ACRES
ACRES/
FIRES
BURNED
FIRE
fy 75
135
560.5
4.2
FY 76
373
1,951.0
5.2
Average (CY 75)
254
1,255.8
4.9
The average values from the table have been used to calculate the
county-wide emissions below.
TSP emissions:
1,255.8 x 153 x 2qqq~~ = 96.1 tons/yr.
SC>2 emissions:
Negligible.
CO emissions:
1,255.8 x 1,256 x 2qqo = 788.6 tons/yr.
HC emissions:
1,255.8 x 216 x "Jqqq~ = 135.6 tons/yr,
NO emissions:
x
1,255.8 x 36 x 2qqq = 22.6 tons/yr.
14. PRESCRIBED BURNING
This source category includes the leeal
urning of woodland for hazard
reduction, clearing of debris, improvement of hunn«» a
hunting and grazing preserves
IV-20
-------
and control of species and disease. There are no emission factors in AP-42
for prescribed burning. The Southeastern Forest Experiment Station has
suggested that the amount of fuel consumed in a prescribed burn is approxi-
mately one-third that consumed in a wild fire. Consequently, emission rates
are one-third those in AP-42 for wild fires.
The number of fires and the acreage burned were provided by the South
Carolina State commission of Forestry. These data are shown in Table IV-10.
TABLE IV-10
PRESCRIBED BURNS
NO
ACRES
ACRES/
FIRES
BURNED
FIRES
FY 75
203
35,987
177
FY 76
275
29,339
107
Average (CY 75)
239
32,663
137
Using the average values from the table, county-wide emissions are
calculated below.
TSP emissions:
32,663 x 153 x|x 2Qqq = 832.9 tons/yr.
SC>2 emissions:
Negligible.
CO emissions:
32,663 x 1,256 x -j x 2000 = 6,837.5 tons/yr.
HC emissions:
32,663 x 216 x j x 2qQQ = 1,175.9 tons/yr.
N0x emissions:
32,663 x 36 x y x 2^00 = ^6.0 tons/yr.
IV-21
-------
15. ACTTCULTURAL BURNING
This source category includes emissions from the burning of stubble
from harvested crops in preparation for cultivation. It does not include
emissions from the burning of land clearing debris or agricultural waste
material. Emission factors, found in AP-42 are based on tons of material
burned.
The U. S. Department of Agriculture Extension Agent estimated that
500 acres of stubble remaining from small grain crops are burned annually
at a weight of two tons/acre.
County-wide emissions are calculated below.
TSP emissions:
500 x 2 x 21 x 2q!o" = 10,5 tons/yr*
SO2 emissions:
Negligible.
CO emissions:
500 x 2 x 117 x - 58.5 tons/yr.
HC emissions:
500 x 2 x 23 x "2^o" = 11,5 tons/yr*
NO emissions:
x
500 x 2 x 4 x 38 2.0 tons/yr.
16. PAVED ROADS
This source category includes the particulate emissions resultin from
road dust reentrained by the movement of vehicular traffic over paveT^ds
Emission factors are not available in AP-42. However, according to informal
IV-22
-------
provided by EPA Region IV, current investigations indicate that emissions of
from 2 to 6 g/VMX are expected. These values confirm the emission factors
arrived at independently in the Charleston and Greenville AQMA analyses. For
Georgetown County a value of 2.5 g/VMT has been used.
Total county-wide TSP emissions are calculated from paved road VMT values
given in Table IV-6 of this chapter.
2.5 x x 692,845 x or.vn x 365 = 696.3
454 Z000
17. UNPAVED ROADS
This source category includes particulate emissions resulting from
vehicular traffic on unpaved roads. Emission factors, found in AP-42,
are based on VMT with corrections for vehicle speed, silt content of the
soil and rainy days. Emissions can be reduced by the application of surface
chemicals.
The emission factors, EF, is estimated from the following equation:
EF = 0.49 s (fj)
-------
(PE/50)
Where s is the siU content o£ the surface soil «) and PE ls the
precipitation-evaporation index, 92 in Georgetown County as determined from
AP-42.
The D. S. Department of Agriculture, Soil Conservation Service pro-
vided the following estimate of silt content:
s = 20-30% in flood plains, and,
s = 1 -10% in other areas.
It was suggested that s = 5% would be appropriate for the l ; v
to agriculture(1). that ls devoted
The emission factor is calculated to be:
EF = -1,4 X j = 2.1 lbs/acre tilled.
(92/50)
The U. S. Department of Agriculture County Agent
agricultural practices in the county. These d ^ Pr°vided data concerning
17-11. are Sunmiarlzed in Table
TABLE iv-n
agricultural DATa
CROP
Tobacco
Corn
Soybeans
Small Grains
Vegetables
Total
2,000
11,000
2,500
3,000
600
19,100 Wei8hted ,
Mean ^•1
5.5
4.0
4.5
3.0
4.0
(1) Silt content in the unpaved roaH " "
suggested by the Conservation S 8"rface Wa8 eat1lmif. j
contain more finely divided wSS?* the " *M. U uaa
than that in c material would
17-24 Und'
-------
County-wide TSP emissions are calculated below.
2.1 x 19,100 x 4.1 x = 82.2 tons/yr.
19. CONSTRUCTION OPERATIONS
This source category includes the fugitive dust emissions resulting from
the disturbing of the land surface from vehicular and other traffic in the
course of construction activity. There are no gaseous emissions from this
source category. The emission factor is based upon the number of acres
under active construction for three categories:
o Residential building construction,
o Non-residential building construction,
o Non-building construction.
The AQMA analysis for Charleston determined, from methods described in
AP-42, that an emission factor of 43 lbs/acre should be used for the first
category and 430 lbs/acre for the other two categories.
The Georgetown County Development Plan provides estimates of additional
acreage to be developed for the first two categories between 1970 and 1990.
These estimates listed below, were based on a comprehensive survey of land
use, population and employment and provide a basis for estimating construction
acreage requirements. Units are in acres of construction land required per
thousand population increase.
Permanent residential 89.7
Seasonal residential 27.5
Commercial/institutional 73.9
o
o
o
o Industrial 45.9
Total 237,0
- .anj n0n-residential building construction
Emissions from residential and non res
the emission factors and the rate or
can be calculated with those factors, tne
population growth from Table II—1«
IV-25
-------
Residential building construction:
r39,148 - 36,069n ., 1
[89.7 + 27.5] x L ' 5 x jJqq J * 43 x = 1.6 tons/yr.
Non-residential building construction:
[73.9 + 45.9] x [ ' 5 x 1,000 ^ X 430 x 2000 * 15,9 tons/yr*
The Georgetown Land Use Plan Update states that in 1974, for the 201
planning area, 190.6 acres of developed land per thousand population were
required. This compares with 209.5 acres per thousand population (seasonal
residential is excluded) given above for the entire county. The 201 planning
area is limted to Georgetown and the fringe area surrounding the city. It
is to be expected that the county as a whole would show less intensive land
use.
Non-building construction emissions were e«n,» *
in Berkeley County by the ratio of contract construct! ^ Similar emissions
. r _ auction employment in the
two counties from County Business Patterns, 1973.
•~Z- x 21.5 = 13.1 tons/yr.
666
Total particulate emissions are 30.6 tons/yr.
20. SMALL POINT SOURCES
This source category includes industrial point
source inventory, which because of sources in the point
» are modeled as
reduce computer costs. area sources to
Three such sources with ISP emlssioris of
from the point source inventory. Tota1 0 , 0ns/yr. or less were extracted
as follows: m 8Sion8 fr°® these sources are
TSP 4.0 tons/yr.
SO2 31.0 tons/yr.
CO Negligible
HC Negligible
N0x 8.0 tons/yr.
IV-2 6
-------
21. EMISSIONS SUMMARY
County-wide baseline year emissions from all source categories are
summarized in Table IV-12.
TABLE IV-12
1975 BASELINE YEAR EMISSIONS SUMMARY
(TONS/YR)
SOURCE CATEGORY
TSP
S°2
CO
HC
NO
X
1.
Residential Fuel Usage
7.3
27.3
19.7
3.0
20.7
2.
C/I Fuel Usage
0.9
10.5
2.2
0.5
9.6
3.
Agricultural Equipment
6.3
4.3
317.5
16.6
54.5
4.
Small Gasoline Engines
2.5
1.2
864.8
93.6
12.2
5.
Construction Equipment
0.9
1.1
3.3
1.0
14.2
6.
Railroad Locomotives
1.0
2.8
5.1
3.7
14.6
7.
Vessels
9.0
18.5
1,175.2
415.4
32.3
8.
Road Vehicles
153.0
46.1
17,232.5
2,481.9
1,353.8
9.
Aircraft
0.2
0.2
77.2
3.5
0.8
10.
On-Site Incineration
2.0
1.0
11.
Open Burning
8.0
26.4
6.4
0.9
12.
Structural Fires
0.1
0.4
13.
Wild Forest Fires
96.1
788.6
135.6
22.6
14.
Prescribed Burning
832.9
6,837.5
1,175.9
196.0
15.
Agricultural Burning
10.5
58.5
11.5
2.0
16.
Paved Roads ^
696.3
17.
Unpaved Roads^
20,652.7
18.
Agricultural Tilling
82.2
19.
Construction Operations
30.6
20.
Small Point Sources
4.0
31.0
8.0
Total
22,596.5
143.0
27,409.9
4,348.6
1,742.2
^ Emissions have not been modified as discussed in Chapter VI, paragraph 5.
IV-27
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CHAPTER V
BASELINE YEAR EMISSIONS DISTRIBUTION
The county-wide emissions for each source category must be distributed
among the several dispersion model grid areas. The following paragraphs
discuss the methodology for allocation or assignment of county-wide
emissions to the appropriate sub-county grid areas. We have used the term
allocate to indicate distribution of total emissions to sub-county areas
in accordance with the distribution of a related surrogate parameter; the
term assignment is used where a discrete source is placed in the particular
sub-county area in which it is located.
1. RESIDENTIAL FUEL USAGE
Emissions from this source category were allocated to census divisions
(Figure II-l) in accordance with the dwelling size-fuel type distributions
within each division. Further allocation to grid sub-county areas was made
in accordance with the population distribution given in Table II-3.
2. COMMERCIAL/INSTITUTIONAL FUEL USAGE
Emissions from this source category were allocated to sub-county areas
in accordance with the population distribution given in Table II-3.
3. AGRICULTURAL EQUIPMENT
The locations of agricultural activity were provided by the Co\inty Extension
Agent. Approximately 90% of the activity is located in the far northwest part
of the county beyond Route 127 with the remaining 10% in the Annieville area.
A few sizeable farms are scattered in the remaining western portion of the
county. Based on this information 90% of the emissions from agricultural
equipment were allocated to the sub-county areas beyond Route 127 and 10% to
the Annieville sub-county area. The following allocation factors were used:
V-l
-------
Grid area 3.0 15%
Grid area 4.0 33%
Grid area 5.0 42%
Grid area 2.2 10%
4. SMALL GASOLINE ENGINES
Emissions from this source category were allocated in accordance
with the population distribution given in Table II-3.
5. CONSTRUCTION EQUIPMENT
The only major heavy construction project underway in 1975 was the
improvement o£ Route 17 south of Georgetown. Sixty percent of the emissions
from this source category were assigned to sub-county area 27.2 where the
improvements were being made. The remaining 40% of the emissions were
allocated to sub-county areas in accordance with population growth from 1975
to 1980 to account for light residential and commercial construction projects.
6. RAILROAD LOCOMOTIVES
Emissions from this source category were assigned to the grid area in
which the railroad tracks are located in accordance with the number of train
miles in each such area.
7. VESSELS
Emissions from this source category were allocated to sub-county areas
in accordance with the length of the waterway m each area separately for each
class of commercial shipping. Emissions from miscellaneous vessels and
terminal equipment were assigned to grid No 11 -u ¦>
sria wo. 22, the location of Georgetown
shipping terminal.
V-2
-------
8. ROAD VEHICLES
Emissions from this source category were allocated to sub-county areas
in accordance with the distribution of VMT given in Table IV-6.
9. AIRCRAFT
Emissions from this source category were assigned to the sub-county areas
in which the airports are located:
o Georgetown Airport - 0.15 tons/yr., grid 27.2
o Overton Field - 0.01 tons/yr., grid 9.2
10. ON-SITE INCINERATION
Emissions from this source category were assigned to the sub-county
areas in which the incinerators are located:
o Winn Dixie Food Store - 1.00 tons/yr., grid 14.0
o Piggly-Wiggly Store - 1.00 tons/yr., grid 14.0
11. OPEN BURNING
Emissions from this source category resulted from two types of open
burning, that associated with the burning of yard debris, leaves and prunings,
and that associated with the burning of construction debris. Emissions
from the first of these were allocated in accordance with 1975 population;
those from the second, in accordance with population growth from 1975 to
1980 population. Population growth by sub-county area were taken from
Table II-3.
12. STRUCTURAL FIRES
Emissions from this source category were allocated in accordance with
the population distribution given in Table II-3.
V-3
-------
13. WILD FOREST FIRES
In Georgetown County there are 389,793 acres of protected woodland,
approximately 75% of the total county acreage. Within those protected wood-
lands, there were an estimated 254 wildfires in 1975 burning a total of 1,255.8
acres. According to the South Carolina Commission of Forestry the acres consumed
were reasonably well distributed throughout the protected woodland. Consequently*
emissions from this source category were allocated to sub-county areas in
accordance with the distribution of protected woodland in each area.
14. PRESCRIBED BURNING
Emissions from this source category were allocated in accordance with the
distribution of protected woodland in each sub-county area as for wild forest
fires.
15. AGRICULTURAL BURNING
Emissions from this source category were allocated in accordance with
the factors given in Section 3 of this chapter: Agricultural Equipment.
16. PAVED ROADS
Emissions from this source category were allocated in accordance with the
distribution of road vehicle particulate exhaust emissions. This method is
believed to be superior to allocation by VMT since it considers the increased
number of tires on heavy duty vehicles.
17. UNPAVED ROADS
Emissions from this source category were allocated to sub-county areas
in accordance with the product of population density and unpaved road miles.
18. AGRICULTURAL TILLING
Emissions from this source category were allocated in accordance with
the factors given in Section 3 of this chapter: Agricultural Equipment.
V-4
-------
19. CONSTRUCTION OPERATIONS
Emissions from this source category were allocated in accordance with
the distribution of emissions from construction equipment.
20. SMALL POINT SOURCES
Emissions from this source category were assigned to the sub-county areas
in which the point sources are located!
o Sampit Lumber - 2.00 tons/yr., grid 9.1
o American Cyanamid - 2.00 tons/yr., grid 18.0
V-5
-------
21. EMISSIONS ALLOCATION SUMMARY
County-wide baseline year TSP emissions allocation is summarized in
Table V-l in AQDM input units of tons/day.
TABLE V-l
1975 BASELINE YEAR EMISSIONS ALLOCATION
GRID
EMISSIONS
GRID
EMISSIONS
NO.
(TONS/DAY)
NO.
(TONS/DAY)
1.1
1.328
15.0
0.058
1.2
1.755
16.0
0.008
2.1
0.683
17.0
0.027
2.2
2.056
18.0
0.066
3.0
0.587
19.0
0.014
4.0
3.154
20.0
0.004
5.0
4.614
21.0
0.036
6.0
0.045
22.0
0.069
7.0
0.026
23.0
0.123
8.1
1.873
24.0
2.678
8.2
1.212
25.0
3.162
9.1
1.647
26.1
0.688
9.2
1.493
26.2
0.310
10.1
1.607
27.1
3.746
10.2
5.575
27.2
2.030
11.1
3.764
28.0
2.542
11.2
8.810
29.1
0.871
12.0
3.159
29.2
1.004
13.0
0.059
29.3
1.009
14.0
0.033
Total(1)
61.950
Total includes unmodified emissions from paved and
unpaved roads as discussed in Chapter VI, paragraph 5.
V-6
-------
CHAPTER VI
BASELINE YEAR ANALYSIS
The Air Quality Display Model (AQDM) modified to use the Briggs plume rise
equation is an approved atmospheric dispersion model for determining the
relationship between sources of air pollution and the resulting air quality.
Based on the Gaussian dispersion of airborne material, AQDM calculates the
contribution of all point and area sources at each receptor in a field of
receptors for each of 576 meteorological conditions. These are then summed
in accordance with the frequency of occurrence of each condition. An important
advantage of AQDM over other available climatological models is its inclusion
of a source contribution file. This computer code allows the operator to
determine the source of the contaminant for selected receptors. A dis-
advantage of AQDM is its inability to estimate concentrations for any period
other than annual average concentrations.
Data inputs to AQDM include the emission inventory, meteorological data,
and for calibration purposes, air quality data. These are discussed below.
1. POINT SOURCE EMISSION INVENTORY
The 1975 inventory was provided by the DHEC for the EIS/P&R system
maintained by Engineering-Science for the DHEC. The data were retrieved from
the system, verified, checked and corrected. After all corrections were made
a printout of the point source master file was forwarded to the DHEC for final
approval.
There were 39 sources representing nine facilities in the inventory.
Two of the sources had no TSP emissions. Eight of the sources, including
the two on-site incinerators, all with emissions of from 1 to 3 tons/year, were
extracted from the point source inventory and entered in the area source
inventory. Total TSP emissions from the remaining 29 point sources were
4512. These point sources include only controlled points in the NEDS inventory.
Other fugitive, uncontrolled sources may exist within the 9 facilities. However, a
VI-1
-------
ource emissions located near Georges City,
great »«ority of *• ^ disbursad through the county. Point
whereas the area ln Table VI-1.
source emissions are
— itlT T? VI— 1.
NO^SOOTCESJR^^.
EMISSIONS
(TOSS/DAY)
FACILITY
M & X Chemicals
International Paper
Georgetown Ferreduction
Georgetown Steel
S. C. Public Service
Sampit Lumber
American Cyanamid
Total
2. AREA SOURCE EMISSION INVENTORY
The area source emission inventory by grid square was sunaaari
Table V-l. Figures VI-1 and VI-2 show the emission density (tong/^2
for all area sources. The highest densities are in the Georgetown
area reflecting the method of allocating emissions from unpaved
portional to the product of unpaved road miles and populatuon den i
relatively high emission density in downtown Georgetown fit-,, 5
w.Cy results
road and automobile exhaust emissions. If point sources arp
t e added
density calculations, values greater than 400 tons/km -yea*• ~ Mission
jr<=«c result in
* J1« -related TSP emi3sx
in
grid
sity calculi--,
^etl lated TSP emissions, those from the
L8'0' „ ^ ln Table IV-U. automobUe re ^ ^ ^ o£ total evasions.
shown m unpaved roads acc
paved roads and u
exhaust»
VI-2
-------
Figure VI-1.
GEORGETOWN COUNTY UNMODIFIED
AREA SOURCE EMISSION dEHSm
J
-T
SEE FIGURE IV-
LEGEND
<5 tons/yr.
5-15 tons/yr.
15-40 tons/yr
>40 tons/yr
vi-3
-------
Figure VI-2.
GEORGETOWN CITY UNMODIFIED AREA
SOURCE EMSSIOH DENSITY
LEGEND
rryjTTn <5 tons/yr-
¦¦¦ { 5-15 tons/yr.
ssammi
R9gS55| 15-40 tons/yr.
[ \ >40 tons/yr.
VX-4
-------
Unpaved roads alone account for 91% of the emissions. The method for estimating
and allocating both paved and unpaved road emissions is not based on proven
methods or hard data. This problem will be addressed further in the discussion
of modeling results that follows.
3. METEOROLOGICAL DATA
There were no meteorological data available from an airport in Georgetown
County which included the required three way joint frequency distributions
of wind direction, wind speed and stability class (STAR program). Such data
were available from two reasonably appropriate airports, Myrtle Beach and
Charleston. These data are summarized in Tables VI-2 and VI-3: January 1966
through December 1970 for Myrtle Beach and January 1960 through December
1964 for Charleston.
Both meteorological summaries show a bimodal distribution of wind
direction with preferred directions from the north through north-northeast
and from the south through south-southwest. The mean stability conditions
for the two airports are very similar, 4.1 for Charleston and 4.2 for Myrtle
Beach. It is only in wind speed that significant differences appear. The
average wind speed at Charleston is 50% greater than that at Myrtle Beach.
There is no real rationale for selecting one meteorological data set
over the other for modeling purposes. Rather arbitrarily we have chosen Myrtle
Beach. It is closer to the centroid of Georgetown County, and the lower wind
speed results in a conservative estimate of concentrations in an analysis
for which no model calibration statistics are determined.
Further, since the Myrtle Beach meteorological data are not known to
truly represent the meteorological regime for Geoegetown County, it was
believed unnecessary to use 1975 data for the baseline year analysis.
Consequently, the five-year mean conditions for 1966 through 1970 were used
for both model calibration and projected air quality estimates.
VI-5
-------
TABLE VI-2
METEOROLOGICAL DATA SUMMARY FOR MYRTLE BEACH
0-3
4-6
WIND SPEED
7-10 11-16
(KNOTS)
17-
21 >21
TOTAL
AVG
WS
A
STABILITY
B C
CLASS
D
E/F
N
6.5
3.3
2.4
0.9
0.1
0
13.2
5.4
0.1
0.8
1.3
2.1
9.1
NNE
3.0
2.5
1.9
0.4
0
0
7.8
5.8
0
0.5
0.8
1.3
5.1
NE
2.0
1.9
1.3
0.2
0
0
5.4
5.7
0
0.4
0.6
0.9
3.3
ENE
1.3
1.1
1.1
0.2
0
0
3.7
6.1
0
0.3
0.6
0.8
1.8
E
2.2
2.4
2.4
0.4
0
0
7.4
6.3
0.1
0.8
1.4
1.4
3.4
ESE
1.6
1.7
1.3
0.1
0
0
4.7
5.7
0.1
0.9
1.0
0.6
1.7
SE
1.3
1.3
0.9
0.1
0
0
3.6
5.6
0.1
0.8
0.8
0.5
1.3
SSE
1.7
1.8
1.3
0.1
0
0
4.9
5.7
0.1
1.0
1.1
0.7
1.8
S
2.8
2.8
3.7
1.2
0
0
10.5
7.1
0.1
1.2
2.3
2.2
4.3
SSW
2.7
2.3
2.0
0.7
0
0
7.7
6.4
0
0.3
0.9
1.3
5.5
SW
2.8
1.8
0.8
0.1
0
0
5.5
4.7
0.1
0.3
0.4
0.5
4.5
WSW
2.3
1.5
0.8
0.1
0
0
4.7
4.9
0.1
0.5
0.5
0.6
3.2
W
3.3
2.4
1.6
0.4
0
0
7.7
5.6
0.1
1.0
1.1
1.0
4.6
WNW
1.5
1.3
1.0
0.4
0
0
4.2
6.4
0.1
0.5
0.7
0.8
2.3
NW
1.1
1.0
0.9
0.3
0.1
0
3.4
6.7
0.1
0.3
0.5
0.6
1.9
NNW
2.7
1.2
0.9
0.5
0.1
0
5.4
5.8
0.1
0.4
0.6
0.8
3.6
TOTAL
38.8
30.3
24.3
5.1
0.3
0
99.8
4.9
1.1
10.0
14.8
16.1
57.4
-------
TABLE VI-2 (CONT'D)
METEOROLOGICAL DATA SUMMARY FOR MYRTLE BEACH
STABILITY
CLASS
0-3
WIND
4-6
SPEED (KNOTS)
7-10 11-16
17-21
A
0.5
0.6
0
0
0
B
3.7
4.1
2.5
0
0
C
1.8
4.7
7.6
0.8
0
D
1.2
4.8
5.9
3.9
0.3
E/F
31.7
16.1
8.2
1.5
0.1
VI- 7
-------
TABLE VI-3
METEOROLOGICAL DATA SUMMARY FOR CHARLESTON
WIND SPEED (KNOTS) STABILITY CLASS
AVG
0-3
4-6
7-10
11-16
17-21
>21
TOTAL
WS
A
B
C
D
E/F
N
1.8
3.3
2.8
1.4
0.2
0
9.5
7.6
0.1
0.5
0.9
3.9
4.1
NNE
1.6
3.3
3.8
2.1
0.1
0
10.9
8.0
0.1
0.5
1.3
5.1
4.0
NE
1.1
2.2
2.6
1.1
0.1
0
7.1
7.7
0.1
0.3
0.9
3.3
2.4
ENE
0.7
1.6
1.6
0.8
0
0
4.7
7.7
0
0.3
0.6
2.3
1.5
E
0.5
1.1
1.3
0.7
0.1
0
3.7
8.1
0
0.2
0.4
1.7
1.2
ESE
0.6
1.1
1.3
0.7
0
0
3.7
8.0
0
0.2
0.6
1.7
1.2
SE
0.6
1.2
1.2
0.6
0
0
3.6
7.6
0
0.2
0.5
1.6
1.3
SSE
0.7
1.4
1.4
0.7
0.1
0
4.3
7.7
0
0.2
0.6
1.8
1.7
S
1.6
2.8
2.6
1.5
0.2
0
8.7
7.8
0.1
0.3
0.8
3.5
4.1
SSW
1.3
2.8
2.8
1.8
0.3
0.1
9.1
8.3
0.1
0.4
0.8
3.8
3.9
SW
0.8
2.0
2.7
1.2
0.1
0
6.8
8.1
0.1
0.4
0.8
2.6
3.0
WSW
0.7
1.8
2.6
1.3
0.2
0
6.6
8.6
0.1
0.5
1.0
2.5
2.4
w
0.5
1.4
2.4
1.4
0.2
0.1
6.0
9.3
0
0.4
1.1
2.5
2.1
WNW
0.5
1.1
1.9
1.4
0.3
0
5.2
9.6
0
0.4
0.9
2.5
1.4
NW
0.5
1.2
1.3
0.7
0.1
0
3.8
8.2
0
0.3
0.6
1.5
1.4
NNW
1.1
2.2
1.7
1.0
0.1
0
6.1
7.7
0.1
0.4
0.7
2.4
2.7
TOTAL
14.6
30.5
34.0
18.4
2.1
0.2
99.8
7.4
0.8
5.5
12.5
42.7
38.4
-------
TABLE VI-3 (CONT'D)
METEOROLOGICAL DATA SUMMARY FOR CHARLESTON
STABILITY
CLASS
0-3
4-6
WIND SPEED
7-10
(KNOTS)
11-16
17-21
>21
A
0.3
0.5
0
0
0
0
B
1.1
2.2
2.1
0
0
0
C
0.5
3.0
7.5
1.5
0
0
D
1.0
5.5
16.9
16.8
2.2
0
E/F
11.6
19.2
7.6
0
0
0
VI-9
-------
4. AIR QUALITY DATA
For the baseline year model run air quality data are required in order
that the regression equation relating observed and calculated air quality
may be determined for use in the planning years analyses. These data, 1975
3
annual arithmetic mean concentrations (yg/m ) for five monitoring stations
were provided by the DHEC. The locations of the stations are shown on
Figure VI-3. The locations are shown on the Universal Transverse Mercator
(UTM) geocoding system employed in the AQDM.
The observed air quality data at the five monitoring stations for the
past five years (where available) are summarized in Table VI-4.
TABLE VI-4
OBSERVED AIR QUALITY DATA (yg/m3)
MONITORING STATION
AAM^
1975
1975
1974
agm(2)
1973
1972
1971
County Health Department (CHD)
78
73
72
67
62
61
Howard High School (HHS)
78
70
80
93
84
77
Continuous Monitoring Station (CMS)
85
77
76
104
—
—
Dr. Beck (BECK)
62
55
62
State Ports Authority (SPA)
55
48
49
Annual arithmetic mean - basis for modeling analysis.
(2)
Annual geometric mean - basis for ^mbient air quality standards,
75 yg/m primary standard, 60 yg/m secondary standard.
VI- 10
-------
Figure VI-3.
LOCATIONS OF MONITORING STATIONS
VI-ll
-------
5. BASELINE YEAR MODEL CALIBRATION
The purpose of the baseline year model calibration is to relate
observed and model calculated air quality in order that planning year
air quality may be estimated from the projected emission inventories.
With adequate data input, meteorological, air quality and inventories,
one would expect a rather high correlation between observed and
calculated values, limited only by the inherent weakness of the
model itself. In such a case, the slope of the regression line relating
observed and calculated values is near 1.0, with a Y axis intercept
(observed concentrations) representing background concentration of the
pollutant. If low correlation results from the calibrating effort,
the regression line is not accepted and a slope of 1.0 with an estimated
background or Y-intercept is assigned.
Figure VI-4 shows the results of the baseline year model calibra-
tion run for the Georgetown County analysis. The regression line,
Y = 151.7 - 1.228X, is based on a negative correlation coefficient.^
The computer printout is included as Appendix B.
The statistics for the calibration run are unsatisfactory. In
(2)
other analysis areas, manipulation of the emission factors for paved
and unpaved roads has resulted in satisfactory calibration. In general,
such manipulation increased emissions from paved roads and decreased
emissions from unpaved roads. For instance, in the Charleston analysis
good correlation was obtained using 50% of the calculated unpaved road
emissions and 200% of the paved road emissions. Manipulation of the
Georgetown County data did not result in any marked improvement in the
regression statistics. Therefore, it was agreed by the DHEC and the
EPA Project Officer that the Charleston paved and unpaved road factors
were the best estimate for these emissions in Georgetown. Consequently,
TSP emissions shown in Tables IV-12 and V-l were doubled for paved roads
and halved for unpaved roads. Furthermore, for the regression line a
^ Resulting in the astonishing conclusion that increased emissions
would result in improved air quality.
(2)
See the analysis reports for Charleston, S.C., Greenville, S.C.,
Louisville, Ky., Charlotte, N.C., and Winston Salem, N.C.
VI-12
-------
Figure VI-4.
BASELINE YEAR CALIBRATION REGRESSION LINE
VI-13
-------
3
slope of 1.0 and an intercept of 20 yg/m were assigned, values derived
from the Charleston analysis.
6. BASELINE YEAR MODEL RESULTS
With the inventory modifications and statistics discussed above,
the model was exercised with the results shown in Figure VI-5. The
computer printout is included in Appendix C. In addition to the concen-
tration field shown in the figure, concentrations at seven additional
receptors were calculated. The results are given in Table VI-5.
TABLE VI-5
BASELINE YEAR CONCENTRATION AT SEVEN ADDITIONAL RECEPTORS
(yg/m3)
NO
EAST
NORTH
LOCATION
CONCENTRATION
101
685.0
3720.0
Myrtle Beach
32
102
633.0
3703.0
Andrews
31
103
655.0
3730.0
William Hill
33
104
670.0
3690.0
North Inlet
38
105
644.0
3693.0
Sampit
38
106
660.0
3710.0
St Marys Church
42
107
680.0
3710.0
Murrells Inlet
36
The calculated versus observed concentrations are shown in
Table VI-6.
As can be seen from Figure VI-5, the area of high concentration
is oriented north-south along UTM east 659 very close to the Georgetown
Steel and Georgetown Ferreduction sources. Table VI-7 summarizes the
source contribution to the two highest concentration receptors,
No. 65 at 659E, 3693N and No. 66 at 659E, 3694N. All sources which
contribute 1.00% of total concentration or greater are listed in the
table.
VI-14
-------
Figure VI-5.
1975 CALCULATED CONCENTRATION FIELD Us/m3)
ALL POINT AND AREA SOURCES
20 vg/1"3 BACKGROUND INCLUDED
VI-15
-------
TABLE VI-6
CALCULATED VS OBSERVED CONCENTRATION
(yg/m3)
OBSERVED
CALCULATED
County Health Department
78
85
Howard High School
78
64
Continuous Monitoring Station
85
72
Dr. Beck
62
76
State Ports Authority
55
74
Figures VI-6 through VI-10 show the concentration fields resulting
from different combinations of source categories.
o VI-6 All area sources
o VI-7 Unpaved roads only
o VI-8 Paved roads only
o VI-9 All other area sources
o VI-10 All point sources
The computer printouts are included in Appendices D through F^\
7. DISCUSSION OF RESULTS
The modeling results are not as unsatisfactory as one might judge
from the calibration attempt. It must be realized that all the monitoring
stations and the primary point sources listed in Table VI-7 are con-
tained within an area of slightly more than a half mile, approximately
three-fourths of a mile on a side. The AQDM is not designed for such a
^ Only three additional computer runs were required for the five source
category breakdown. Figure VI-9 results from subtracting VI-7 + VI-8
from VI-6. Figure VI-10 results from subtracting VI-6 from VI-5.
VI-16
-------
TABLE VI-7
SOURCE CONTRIBUTIONS TO TWO HIGHEST CONCENTRATION RECEPTORS
Tract
5.0
1.19
1.32
Tract
10.2
4.35
4.85
Tract
11.2
4.50
5.01
Tract
12.0
2.54
2.83
Tract
14.0
1.62
1.80
Tract
18.0
5.69
6.34
Tract
25.0
1.01
1.12
Tract
27.1
1.28
1.42
Tract
27.2
1.47
1.63
TOTAL
AREA
23.65
26.32
GT Ferreduction
2.37
2.64
GT Ferreduction
7.08
7.88
GT Ferreduction
5.29
5.90
GT Steel
5.71
6.36
GT Steel
12.74
14.19
TOTAL POINT
33.19
36.97
Background
20.00
All Other sources 12.95
GRAND TOTAL 89.79
Tract
5.0
1.21
1.42
Tract
10.2
4.46
5.22
Tract
11.1
0.88
1.03
Tract
11.2
4.21
4.92
Tract
12.0
2.75
3.22
Tract
13.0
1.54
1.80
Tract
14.0
6.63
7.76
Tract
17.0
1.01
1.18
Tract
18.0
1.76
2.07
Tract
25.0
0.99
1.16
Tract
27.1
1.28
1.49
Tract
27.2
1.45
1.70
TOTAL
AREA
28.17
32.97
GT Ferreduction
GT Ferreduction
GT Ferreduction
GT Steel
GT Steel
Am. Cyanamid
TOTAL POINT
1.91
2.22
2.35
2.47
14.92
2.00
25.87
2.24
2.60
2.75
2.89
17.46
2.34
30.28
Background
All Other Sources
GRAND TOTAL
20.00 23.41
11.41 13.34
85.45 100.00
VI-17
-------
Figure VI-6.
1975 CALCULATED CONCENTRATION FIELD (vg/>"3)
ALL AREA SOURCES
VI-18
-------
Figure VI-7.
1975 CALCULATED CONCENTRATION FIELD (ug/m3)
UNPAVED ROADS ONLY
VI-19
-------
Figure VI-8.
1975 CALCULATED CONCENTRATION (va/®3)
PAVED ROADS ONLY
VI-20
-------
Figure VI-9.
1975 CALCULATED CONCENTRATION FIELD fcg/m3)
ALL AREA SOURCES EXCEPT PAVED AND UNPAVED ROADS
vi-21
-------
Figure VI-10.
1975 CALCULATED CONCENTRATION FIELD (us/*3)
ALL POINT SOURCES
VI-22
-------
average
microanalysis. Furthermore, the meteorological inputs to the model
were not known to represent the Georgetown distribution. In particular,
it appears that the north-south axis of the concentration field does
not agree with the prevailing wind direction in the Georgetown area.
These difficulties can be partially overcome for a small area by
integration of the calculated and observed concentration fields, thereby
eliminating the wind direction dependency. Such area integration can
be estimated by the sum of the concentrations o^averages in Table VI-6.
The average observed concentration was 71.6 ug/m while the average
calculated concentration was 74-2 ^/»3- indicates that the a
values of the calculated concentrations in the impacted area closely
represent observed concentrations. It is only in the concentration
pattern that an error is apparent.
With this observation, it is reasonable to accept the validity
of the source contributions to the impacted area highlighted in Table
VI-7. It is apparent that approximately one-third of the air quality
impact results from known (that is inventoried) emissions from the steel
from caved and unpaved roads. All other
works and another one-third P
sources and background account tor the last one-third.
The results further Indicate that the only area in the County in
are Jeopardized is downtown Georgetown City,
which air quality standards are jeopw
(1)
bv Larsen. the highest annual geometric
Using techniques developed Dy u* »
mean and second highest one-hour concentration have been calculated:
Highest annual geometric mean 7 vgM
, L, . one—hour concentration - 323 yg/m
Second highest one-noui
ITS 777 Relating Air Quality Measurements to Air
U) A Mathematical Model for
Quality Standards, U. S. EPA
VI- 23
-------
CHAPTER VII
PROJECTED emissions inventory
This chapter discusses the data requirements, sources, availability,
and methodology for projecting county-wide source emissions to the 1980
and 1985 planning years. Several source categories are not projected to
over the decade. Such categories are those related to agricultural
and silvicultural practices in the county:
o Agricultural Equipment
o Wild Forest Fires
o Prescribed Burning
o Agricultural Burning
o Agricultural Tilling
It was determined in Chapter IV, Section 19, that 209.5 acres of develop-
ment land per 1000 population increase are required. Over the decade, with
a population increase of 6929, 1452 acres will be developed not counting
that acreage developed to house the increase in seasonal population. The
i -tnrrea.se of 16,177 will require development of an
seasonal population increase oj. xv,
additional 445 acres. These modest requirements in newly developed land
and the expected location of the developments will cause little encroach-
„ „I1T.rentlv devoted to fanning or woodland,
ment upon areas currencxy
Although there is adequate land available for increased agricultural
activity, there is no reason at this time to expect a significant increase
in farm acreage. During the past, Georgetown County agricultural practices
„ ^ JJaiw it is difficult to predict what changes may occur in
have varied widexy. ¦LU
the future. Today the apparent tendency for economic growth in the County
is pointed'toward industrial and recreational expansion. It is believed
that both agricultural and silviculture practice and level of activity
will remain essentially constant over the decade and that emissions related
to these practices will not change.
VII-1
-------
There is little doubt that large growth in recreation and tourism
(as manifested by the near doubling of seasonal population shown in Table
II-2) will occur. Most of this growth is expected in the Waccamaw census
division. Increased emissions of TSP will accompany the growth as general
human activity increases. Such activity will result in large traffic volumes
and construction effort. However, because of the seasonal nature of the
projections, emissions from other sources will not increase at the same rate
and should reflect the more moderate permanent population and general economic
projections.
There are four development possibilities which, if completed, might
have a significant impact upon air quality:
o Construction of a high bridge over the Sampit
o Improvement of shipping facilities, channels and turning basins
o Introduction of heavy industry south of the Sampit
o Development of a shore-based infrastructure to support off-shore
oil exploration
The result of these developments cannot be predicted at this time; and,
since each, if affected, would require an environmental impact assess-
ment, no attempt has been made to project area source emissions with such
development possibilities factored in. Rather, economic expansion is
based upon the employment projections summarized in Table II-4.
1. RESIDENTIAL FUEL USAGE
Projected emissions from this source category depend upon the projected
number of dwellings and the dwelling size distribution and fuel type
distribution. Table VII-1, taken from the Regional Development Impact
Matrix summarizes the 1975 housing stock. If it is assumed that the
number of persons/dwelling unit remains constant, the projected number
of dwelling units can be calculated from projected population by census
districts given in Table II-3. These projections are also shown in Table
VII-1.
VII-2
-------
TABLE VII-1
BASKLINE year and projected housing stock
1975
NO. PERSONS/
POPULATION DWELLINGS DWELLING
1980 1985
NO. No.
DWELLINGS DWELLINGS
Georgetown Urban Fringe
Andrews Urban Fringe
Waccamaw Neck
Rural Areas
Andrews and George-
town Cities
Total
6050
1608
3.76
1795
2088
1034
292
3.54
331
370
3129
2086
1.50
2875
3875
11822
3216
3.68
3452
3582
14034
4014
3.50
4060
4241
36069
11216
3.22
12513
14156
Although the percentage of multi-family dwellings has increased over the
r^nreetown County housing is still predominately single
past several years, iieorg
family Ignoring the possible trend in increasing multi-family dwellings
(and the small increase in heating efficiency) will result in Insignificant
errors in fuel consumption.
,„ar the mean emission rates per dwelling unit are
For the baseline year
, , „tt o These mean emission rates are expected to change as
shown on Table VII-Z. ^ese
, „ tvt)e distribution. The assumptions concerning
a result of changing ruex u/f
projected fuel type distribution are listed below:
There will be no increase in the number of dwellings heated by
natural gas or LPG.
The number of dwellings heated by coal will decrease by 50% in 1980
and by 100% in 1985.
The number of dwellings heated by wood will decrease by 25% in 1980
and by 50% in 1985.
j and those converting from coal or wood will be heated
New dwellings
50% by distillate oil and 50% by electricity.
1.
2.
3.
4.
VII-3
-------
With these assumptions the projected mean emission rates/dwelling unit
have been calculated and are listed in Table VII-2.
TABLE VII-2
MEM EMISSION RATES (LBS/DWELLING UNIT-YR)
1975
1980
1985
TSP
1.30
1.01
0.74
S°2
4.87
4.70
4.52
CO
3.51
2.51
1.68
HC
0.53
0.40
0.28
NO
X
3.69
3.59
3.47
Baseline year and projected emissions are summarized in Table VII-3.
TABLE VII-3
BASELINE YEAR AND PROJECTED EMISSIONS
FROM RESIDENTIAL FUEL USAGE (TONS/YR)
1975
1980
1985
TSP
7.3
6.3
5.2
so2
27.3
29.4
32.0
CO
19.7
15.7
11.9
HC
3.0
2.5
2.0
NO
X
20.7
22.5
24.6
VII-4
-------
2. COMMERCIAL/INSTITUTIONAL FUEL USAGE
Fuel usage on a Btu basis is projected to increase in accordance with
the non-manufacturing employment growth given in Table II-4. In converting
fuel usage to emissions it was assumed that all growth would be in the use
of distillate oil. Baseline year data and projected emissions are
summarized in Table VII-4.
TABLE VII-4
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM COMMERCIAL/INSTITUTIONAL FUEL PSAflE
1975
1980
1985
Non-Mfg. Employment
5923
6514
7364
Emissions (tons/year)
TSP
0.9
1.0
1.1
SO,
10.5
11.8
13.7
CO
2.2
2.4
2.8
HC
0.5
0.6
0.6
NO
X
9.6
10.6
12.1
3. SMALL GASnt.TNE ENGINES
Emissions from this source category are projected to increase
accordance with the population growth factors given in Table II-2.
line year data and projected emissions are summarized in Table VII
in
Base-
-5.
VII-5
-------
TABLE VII-5
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM SMALL GASOLINE ENGINES
1975
1980
1985
Population Factor
1.000
1.085
1.192
Emissions (tons/year)
TSP
2.5
2.7
3.0
so2
1.2
1.3
1.4
CO
864.8
938.3
1030.8
HC
93.6
101.6
111.6
NO
X
12.2
13.2
14.5
4. CONSTRUCTION EQUIPMENT
Emissions from this source category are projected to increase in accord-
ance with the growth in contract construction employment given in Table II-4.
Baseline year data and projected emissions are summarized in Table VII-6.
TABLE VII-6
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM CONSTRUCTION EQUIPMENT
1975
1980
1985
Construction Employment
467
501
552
Emissions
(tons/year)
TSP
0.9
1.0
1.1
so2
1.1
1.2
1.3
CO
3.3
3.5
3.9
HC
1.0
1.1
1.2
NO
X
14.2
15.2
16.8
VII-6
-------
5. RAILROAD LOCOMOTIVES
The year 1975 was depressed for railroad freight traffic, decreasing
by 12.6% in the Southern District of the Association of American Railroads.
On the other hand, for the ten year period through 1974, a steady increase
in freight traffic occurred, averaging 4.8% per year, considerably higher
than the national 3% average gain over the same period of time.
Emissions from locomotives operating on the mainline of the Seaboard
Coast Line are projected to increase at the historical rate of 4.8%
per year from a 1974 base year. Emissions from the line between Andrews
and Georgetown are projected to double by 1980 to accommodate coal shipments
for the expanded South Carolina Public Service Authority power plant and
then to increase at a rate of 4.8% per year from 1980 to 1985. Baseline year
data and projected emissions are summarized in Table VII—7.
TABLE VIX»7
BAggT.TWE YEAR DATA AND PROJECTED EMISSIONS
T?KOM RAILROAD LOCOMOTIVES
1974(l) 1980 1985
Railroad Freight Factor 1.00 1.288 1 52g
Emissions (tons/year)
TSP
1.1
1.6
1.9
S°2
3.2
4.8
5.7
CO
5.8
8.6
10.2
HC
4.2
6.2
7.4
NO
16.7
24.8
29.4
^ The 1974 emissions are 1.144 times the 1975 emissions.
VI I-7
-------
6. VESSELS
Emissions from commercial and miscellaneous vessels and terminal
equipment are projected to increase at a rate of 4.9% per year in accord-
ance with the mean 1965 to 1974 growth discussed in Chapter IV, Section
7. Emissions from recreational boats are projected to increase in accord-
ance with population growth factors given in Table II-2. Baseline year data
and projected emissions are summarized in Table VII-8.
TABLE VII-8
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM VESSELS
1975
1980
1985
Population Factor
1.000
1.085
1.192
Shipping Factor
1.000
1.245
1.490
Emissions (tons/yr)
TSP
9.0
11.2
13.4
so2
18.5
20.1
26.8
CO
1175.2
1284.6
1418.5
HC
415.4
451.7
497.0
NO
X
32.3
39.8
47.4
7. ROAD VEHICLES
Projected emissions from this source category depend upon the reduction
in emission factors and the increase on traffic volume expected over the
next decade. Average emission factors from AP-42 were used for CO, HC
and N0x» Baseline year light duty gasoline vehicle emission factors for
TSP and SO^ were reduced in proportion to the reduction in average emission
VII-8
-------
factors. Baseline year emission factors remained constant for heavy duty
vehicles. Baseline year and projected emission factors are summarized in
Table VII-9.
TABLE VI1-9
BASELINE year and projected road vehicle
FMTSSION FACTORS (G/MI)
1975
1980
1985
LDGV
HDGV
HDDV
LDGV
HDGV
HDDV
LDGV
HDGV
HDDV
TSP
0.51
1.29
2.13
0.41
1.29
2.13
0.35
1.29
2.13
so„
0.31
0.36
2.8
0.11
0.36
2.8
0.11
0.36
2.8
2
CO
61.1
61.1
61.1
31.1
31.1
31.1
15.7
15.7
15.7
HC
8.8
8.8
8.8
5.4
5.4
5.4
2.7
2.7
2.7
NO
4.8
4.8
4.8
3.6
3.6
3.6
2.4
2.4
2.4
VMT are projected to increase in accordance with permanent population
increases in all areas except the Waccaaaw census division. In Waccamaw
VMI are projected to increase in accordance with the sum of permanent
population plus one third the seasonal population. Baseline year data
and projected emissions are summarized in Table VI1-10.
VII-9
-------
TABLE VII-10
BASELINE YEAR DATA AND PROJECTED EMISSIONS
1975
1980
1985
Population Factor
Emissions (tons/yr)
41627
47361
53949
TSP
LDGV
139.5
127.6
124.1
HDGV
7.0
8.0
9.1
HDDV
6.5
7.4
8.4
TSP
TOTAL
153.0
143.0
141.6
s°?
LDGV
35.6
34.3
39.0
HDGV
2.0
2.3
2.6
HDDV
8.5
9.7
11.1
s°?
TOTAL
46.1
46.3
52.7
CO
17232.5
9979.6
5738.7
HC
2481.9
1732.8
986.9
NO
X
1353.8
1155.2
877.3
8. AIRCRAFT
Both airports in the study area provide services for general aviation
operations only. The FAA document Terminal Area Forecast, 1976-1986 contains
projections for general aviation growth for South Carolina and for individual
airports in South Carolina with FAA control towers. There is minor difference
in growth projections between the two FAA airports in the vicinity, Charleston
and Myrtle Beach, and the state-wide values. Emissions from aircraft are
projected to increase in accordance with state-wide projections of general
aviation operations. Baseline year data and projected emissions are
summarized in Table VII-11.
VII-10
-------
TABLE VII-11
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM AIRCRAFT
1975
1980
1985
General Aviation Factor
1.00
1.36
2.05
Emissions (tons/year)
TSP
0.2
0.3
0.4
so2
CO
0.2
77.2
0.3
105.0
0.4
158.3
HC
3.5
4.8
7.2
NO
X
0.8
1.1
1.6
9. ON-SITE INCINERATION
,. „ ..~„r emission inventory emissions from two incinerators
For the baseline year
were extracted from the point source inventory and entered in the area source
inventory in order to decrease computer costs for modeling. Emissions from
these t»o incinerators, both located in Georgetown City, are projected to
increase in accordance with the population growth factor for Georgetown
™ 1.1 tt 1 Tt is not anticipated that any new on-site incinera-
given in Table II-2.
tor operating permit, will be issued by the DHEC. Baseline year data and
projected emissions are summarised in Table VII-12.
VII-11
-------
TABLE VII-12
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM ON-SITE INCINERATORS
1975
1980
1985
Population Factor
1.00
1.013
1.066
Emissions (tons/year)
TSP
2.0
2.0
2.1
so2
Neg.
Neg.
Neg.
CO
1.0
1.0
1.1
HC
Neg.
Neg.
Neg.
NO
X
Neg.
Neg.
Neg.
10. OPEN BURNING
Emissions from this source category are projected to increase in
accordance with the growth in number of dwelling units given in Table
VII-1. Baseline year data and projected emissions are summarized in
Table VII-13.
TABLE VII-13
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM OPEN BURNING
1975
1980
1985
Dwelling Units
11,216
12,513
14,156
Emissions (tons/year)
TSP
8.0
8.9
10.1
so2
Neg.
Neg.
Neg.
CO
26.4
29.5
33.3
HC
6.4
7.1
8.1
NO
X
0.9
1.0
1.1
VII-12
-------
11. STRUCTURAL FIRES
Emissions from this source category are projected to increase in
accordance with the population growth factors given in Table II—2.
Baseline year data and projected emissions are summarized in Table
VII-14.
TABLE VII-14
ra.cpt.TWE YEAR DATA AND PROJECTED EMISSIONS
FROM STRUCTURAL FIRES
Population Factor
Emissions (tons/year)
TSP
so2
CO
HC
NO..
1975 1980 1985
1.000 1.085 1.192
0.1
0.1
0.1
Neg.
Neg.
Neg.
0.4
0.4
0.5
Neg.
Neg.
Neg.
Neg.
Neg.
Neg.
12. PAVED ROADS
In Chapter VI it was determined that the emission factor for paved
roada was 50* too »U and coM.
-------
13. UNPAVED ROADS
In Chapter VI it was determined that emissions from this source
category should be reduced by 50% to 10326.4 tons/yr. Projected emissions
depend upon projected VMT on unpaved roads. It would be expected that VMT
would increase as population increases. On the other hand routine surfacing
of roads would decrease the number of unpaved road miles. Since there is
no rationale for determining the relative weight of these two opposite
effects, emissions are projected to remain constant over the decade.
14. CONSTRUCTION OPERATIONS
In Chapter IV, Section 19, the land requirements per 1000 population
increase were determined for four classes of building construction. Emissions
from the four classes are projected in accordance with the following criteria:
o Permanent Residential - Permanent population growth
o Seasonal Residential - Seasonal population growth
o Commercial/Institutional - Non-manufacturing employment growth
o Industrial - Manufacturing employment growth
Emissions from non-building construction are projected to increase in
accordance with contract construction employment.
Baseline year data and projected emissions are summarized in Table
VII-15. The results show that construction activity is expected to be
9% greater in 1980 than in 1975 and 22% greater in 1985. This indicates
that county growth is non-linear and is expected to accelerate with time,
a conclusion borne out by the available planning documents.
VII-14
-------
TABLE VII-15
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM CONSTRUCTION ACTIVITY
GROWTH PARAMETER
1975
1980
1985
Permanent Population Factor
1.00
1.085
1.192
Seasonal Population Factor
1.00
1.478
1.970
Non-Manufacturing Employment
5923
6514
7364
Manufacturing Employment
5041
5545
6095
Contract Construction Employment
467
501
552
1975
1980
1985
1.2
1.3
1.4
0.4
0.6
0.8
9.8
10.8
12.2
6.1
6.7
7.4
13.1
14.1
15.5
30.6
33.5
37.3
TSP EMISSIONS (TONS/YR)
Permanent Residential Construction
Seasonal Residential Construction
Commercial/Institutional Construction
Industrial Construction
Non-Building Construction
Total Emissions
15. SMALL POINT SOURCES
,, sources expected to be established in
There are no new small point sources f
fh® three baseline year sources included in
the county. Emissions from the three d*
1ected to increase in accordance with
the area source inventory ate pj
anrniavment growth given in Table II-4. Base-
the growth in manufacturing emp y®
a rniong are summarized in Table VII—16.
line year data and projected em
VII-15
-------
TABLE VII-16
BASELINE YEAR DATA AND PROJECTED EMISSIONS
FROM SMALL POINT SOURCES
1975
1980
1985
Manufacturing Employment
5041
5545
6095
Emissions (tons/yr)
TSP
4.0
4.4
4.8
so2
31.0
34.1
37.5
CO
Neg.
Neg.
Neg.
HC
Neg.
Neg.
Neg.
NO
8.0
8.8
9.7
X
16. PROJECTED EMISSIONS SUMMARY
County-wide projected emissions from all source categories are
summarized in Tables VII-17 and VII-18. Table VII-19 summarizes baseline
year and projected TSP emissions.
VII-16
-------
TABLE VI1-17
1980 PROJECTED EMISSIONS SUMMARY
(TONS/YR)
1. Residential Fuel Usage
2. C/I Fuel Usage
3. Agricultural Equipment
4. Small Gasoline Engines
5. Construction Equipment
6. Railroad Locomotives
7. Vessels
8. Road Vehicles
9. Aircraft
10. On-Site Incineration
11. Open Burning
12. Structural Fires
13. Wild Forest Fires
14. Prescribed Burning
15. Agricultural Burning
16. Paved Roads
17. Unpaved Roads
18. Agricultural Filling
19. Construction Operations
20. Small Point Sources
Total
6.3
1.0
6.3
2.7
1.0
1.6
11.2
143.0
0.3
2.0
8.9
0.1
96.1
832.9
10.5
1512.7
10326.4
82.2
33.5
4.4
13083.1
29.4
15.7
2.5
22.5
11.8
2.4
0.6
10.6
4.3
317.5
16.6
54.5
1.3
938.3
101.6
13.2
1.2
3.5
1.1
15.2
4.8
8.6
6.2
24.8
20.1
1284.6
451.7
39.8
46.3
9979.6
1732.8
1155.2
0.3
105.0
4.8
1.1
1.0
29.5
7.1
1.0
0.4
788.6
135.6
22.6
6837.5
1175.9
196.0
58.5
11.5
2.0
34.1
! !
00 1 I
153.6
20370.7
3648.0
1567.3
VII-17
-------
TABLE VII-18
1985 PROJECTED EMISSIONS SUMMARY
(TONS/YR)
SOURCE CATEGORY
TSP
CM
o
CO
HC
NO
X
1.
Residential Fuel Usage
5.2
32.0
11.9
2.0
24.6
2.
C/I Fuel Usage
1.1
13.7
2.8
0.6
12.1
3.
Agricultural Equipment
6.3
4.3
317.5
16.6
54.5
4.
Small Gasoline Engines
3.0
1.4
1030.8
111.6
14.5
5.
Construction Equipment
1.1
1.3
3.9
1.2
16.8
6.
Railroad Locomotives
1.9
5.7
10.2
7.4
29.4
7.
Vessels
13.4
26.8
1418.5
497.0
47.4
8.
Road Vehicles
141.6
52.7
5738.7
986.9
877.3
9.
Aircraft
0.4
0.4
158.3
7.2
1.6
10.
On-Site Incineration
2.1
1.1
11.
Open Burning
10.1
33.3
8.1
1.1
12.
Structural Fires
0.1
0.5
13.
Wild Forest Fires
96.1
788.6
135.6
22.6
14.
Prescrubed Burning
832.9
6837.5
1175.9
196.0
15.
Agricultural Burning
10.5
58.5
11.5
2.0
16.
Paved Roads
1723.2
17.
Unpaved Roads
10326.4
18.
Agricultural Tilling
82.2
19.
Construction Operations
37.3
20.
Small Point Sources
4.8
37.5
—.
9.7
Total
13299.7
175.8
16412.1
2961.6
1309.6
VH-18
-------
TABLE VI1-19
BASELINE YEAR AND PROJECTED ISP EMISSIONS
(TONS/YR)
SOURCE CATEGORY
1975
1980
1985
1. Residential Fuel Usage
2. C/I Fuel Usage
3. Agricultural Equipment
4. Small Gasoline Engines
5. Construction Equipment
6. Railroad Locomotives
7. Vessels
8. Road Vehicles
9. Aircraft
10. On-Site Incineration
11. Open Burning
12. Structural Fires
13. Wild Forest Fires
14. Prescribed Burning
15. Agricultural Burning
16. Paved Roads (Revised)
17. Unpaved Roads (Revised)
18. Agricultural Tilling
19. Construction Operations
20. Small Point Sources
Total
Increase over 1975
7.3
6.3
5.2
0.9
1.0
1.1
6.3
6.3
6.3
2.5
2.7
3.0
0.9
1.0
1.1
1.0
1.6
1.9
9.0
11.2
13.4
153.0
143.0
141.6
0.2
0.3
0.4
2.0
2.0
2.1
8.0
8.9
10.1
0.1
0.1
0.1
96.1
96.1
96.1
832.9
832.9
832.9
10.5
10.5
10.5
1392.6
1512.7
1723.2
10326.4
10326.4
10326.4
82.2
82.2
82.2
30.6
33.5
37.3
4.0
4.4
4.8
12966.5
13083.1
13299.7
0.90%
2.57%
VII-19
-------
CHAPTER VIII
ppn.TFflTEP EMISSIONS DISTRIBUTION
ass
The following paragraphs discuss the methodology for allocation or
ignment of county-wide projected emissions to the appropriate sub-county
grid area. For those source categories for which emissions were projected to
remain constant allocation to sub-county areas was made in accordance with
the baseline year distribution.
1. RESIDENTIAL FUEL USAGE
For each planning district shown in Table VII-1, the mean emission rates
per dwelling unit were calculated similarly to the county-wide method discussed
in Chapter VII, Section 1. These «e summarised in Table VIII-1.
TABLE VIII-1
MEAN TSP EMISSIONS
(lbs/dwelling unit-year)
1975 1980 1985
Georgetown Urban Fringe
Andrews Urban Fringe
Waccamaw Neck
Rural Area
Andrews and Georgetown Cities
1.26 0.96 0.70
1.16 0.91 0.67
0.58 0.53 0.38
2.30 1.65 1.09
0.90 0.84 0.74
4 rates and the number of dwelling units from Table VII-1,
With the mean emission rates ana
, strict were calculated. These, in turn, were
emissions for each planning district we
areas in accordance with population projections
allocated to sub-county grid areas
given in Table II-3.
2. COMMERCIAL/iN'iTT'PTTT'TnTJAL FUEL USAGE
. • „ r-nm this source category were allocated in accordance
Projected emissions from cnj.»
with the distribution of population given in Table II-3.
VIII-1
-------
3. SMALL GASOLINE ENGINES
Projected emissions from this source category were allocated to sub-county
areas in accordance with the projected population distribution given in Table
II-3.
4. CONSTRUCTION EQUIPMENT
No major highway or industrial construction projects are now planned for
1980 and 1985. All emissions from this source category were allocated to sub-
county areas in accordance with population growth both seasonal and permanent.
All seasonal growth was assigned to the Waccamaw census district as follows:
0 30% to grid 23.0
° 30% to grid 24.0
0 20% to grid 25.0
° 20% to grid 26.1
5. RAILROAD LOCOMOTIVES
Projected emissions from this source category were allocated to sub-county
areas in accordance with projected train-miles traveled in each area.
6. VESSELS
Projected emissions from this source category were allocated to sub-county
areas in accordance with the distribution of baseline year emissions.
7. ROAD VEHICLES
Emissions from this source category were allocated as follows.
1. Total emissions were first allocated in accordance with the distribution
of VMT given in Table IV-6.
2. These sub-county emissions were then increased in accordance with the
population growth procedures discussed in Chapter VII. In assigning seasonal
population within the Waccumaw census district the following factors were
used:
VIII-2
-------
0 30% to grid 23.0
o 30% to grid 24.0
° 20% to grid 25.0
o 20% to grid 26.1
3. Finally, the increased sub-county emissions were normalized to the
county-wide totals.
8. AIRCRAFT
Projected emissions from this source category were assigned to the sub-
county areas in which the two airports are located, proportional to the baseline
year emissions from each airport.
9. ON-SITE INCINERATION
It is anticipated that no new on-site incinerators will be permitted.
Emissions from the two currently operating incinerators were assigned to the
sub-county areas in which they are located.
10. OPEN BURNING
The growth in emissions in this source category, 0.9 tons/year from 1975
to 1980 and 1.2 tons/year from 1980 to 1985, was allocated in accordance with
„r juoiiina units given in Table VII-1 and then further
the growth in number of dwelling un*t s
with population. This growth in emissions was
distributed in accordance witn
j cub-county area emissions.
added to the previous period
11. STRUCTURAL FIRES
, ,„„a from this source category were allocated to sub-county
Projected emissions rrom >
che orolected population distribution given in Table
areas in accordance witn tne p
II-3.
12. PAVED ROADS
n— voflr emissions from this source category were allocated
As for the baseline year,
^ ,na«-ribution of road vehicle particulate exhaust emissions,
in accordance with the distriDui.*
VIII-3
-------
13. UNPAVED ROADS
Projected emissions from this source category were allocated in proportion
to the baseline year distribution of emissions.
14. CONSTRUCTION OPERATIONS
Emissions from this source category were allocated in accordance with
the distribution of emissions from construction equipment.
15. SMALL POINT SOURCES
Since no new small point sources are expected to be established, projected
emissions from this source category were assigned to the sub-county areas in
which the baseline year emissions were located, proportional to such emissions.
16. PROJECTED EMISSIONS ALLOCATION SUMMARY
County-wide projected TSP emissions allocation is summarized in Tables
VIII-2 and VIII-3.
VIII-4
-------
TABLE VIII-2
TQflO projected emissions allocation
Grid
No.
Emissions
Grid
Emissions
(tons/day)
No.
(tons/day)
1.1
0.910
15.0
0.078
1.2
0.966
16.0
0.012
2.1
0.554
17.0
0.044
2.2
1.208
18.0
0.107
3.0
0.371
19.0
0.023
4.0
1.690
20.0
0.007
5.0
2.440
21.0
0.059
6.0
0.073
22.0
0.113
7.0
0.042
23.0
0.311
8.1
1.120
24.0
1.745
8.2
0.675
25.0
1.908
9.1
0.986
26.1
0.682
9.2
0.898
26.2
0.204
10.1
0.910
27.1
2.061
10.2
2.888
27.2
1.156
11.1
2.018
28.0
1.463
11.2
4.555
29.1
0.555
12.0
1.669
29.2
0.528
13.0
0.098
29.3
0.665
14.0
0.051
Total
35.843
VIII-5
-------
TABLE VIII-3
1985 PROJECTED EMISSIONS ALLOCATION
Grid
Emissions
Grid
Emissions
No.
(tons/day)
No.
(tons/day)
1.1
0.910
15.0
0.080
1.2
0.966
16.0
0.013
2.1
0.554
17.0
0.045
2.2
1.209
18.0
0.109
3.0
0.371
19.0
0.024
4.0
1.690
20.0
0.007
5.0
2.439
21.0
0.060
6.0
0.072
22.0
0.116
7.0
0.042
23.0
0.397
8.1
1.120
24.0
1.886
8.2
0.683
25.0
2.019
9.1
0.987
26.1
0.788
9.2
0.912
26.2
0.205
10.1
0.910
27.1
2.061
10.2
2.896
27.2
1.227
11.1
2.018
28.0
1.463
11.2
4.567
29.1
0.558
12.0
1.676
29.2
0.538
13.0
0.100
29.3
0.665
14.0
0.052
Total
36.435
VIII-6
-------
CHAPTER IX
PROJECTED AIR QUALITY
Figures IX-1 and IX-2 show the TSP concentration fields for 1980 and 1985.
Inputs to the model for the projection years Included the area source emission
inventories from Tables VIII-2 end VIII-3, the baseline year point source
emission inventory, and the 5-year mean meteorological data for Myrtle Beach.
Regression statistics included a slope of 1.0 with a background concentration
3
of 20 iig/m .
The DHEC anticipates no growth in the point source emissions over the
decade the rather substantial projected growth in manufacturing employment
summarized in Table II-4, notwithstanding. If such growth does materialize,
it is assumed that it will be in the light industry category involving a
limited increase in emissions. There is one exception to this growth pattern:
the South Carolina Public Service Authority may add another unit at the
Georgetown power plant increasing TSP emissions from 1.515 tons/day to 3.030
tons/day. As can be seen from the source contribution file in Appendix C,
j from the source would have little effect on air
the doubling of emissions trom tn»
Mtv impacted area, increasing concentrations by
quality in the Georgetown city imp<^ •
less than 0.01 pg/m •
Table IX-1 summarizes the maximum baseline year and projected air quality
i In each year the maximum was at the receptor at
calculated by the model.
, . „ irai ties shown on the concentration field figures are
695E, 3693N. Maximum values snowu
1. snnm north of that receptor,
slightly higher, about 500m norcn
TABLE IX-1
3
yAVTMTTM CONCENTRATIONS (lig/m )
Annual Arithmetic Mean
Annual Geometric Mean
Second Highest 24-Hour Sample
1975
90
78
323
89
77
319
90
78
323
IX-1
-------
Figure IX-1.
1980 CALCULATED CONCENTRATION FIELD (ug/n,3)
IX-2
-------
Figure IX-2.
CALCULATED CONCENTRATION FIELD Us/m3)
IX-3
-------
1
2,
3,
4
5
6
7
8
9
10
CHAPTER X
CONCLUSIONS
All TSP ambient air quality standards are being violated in Georgetown
County.
The impacted area is limited to a very small part of the County f
approximately 4 km2, centered in downtown Georgetown City
Without more stringent control of emissions, standards will contin
to be violated at the same level throughout the decade.
Although the model did not calibrate, in the strict s«n» -u t
sense that is applied
to large regional analyses, it did successfully oredicf
y yceaict the concentration
in the impacted area and the extent of the impacted area.
Concentrations in the impacted area result about om.an,. e
equaxiy from paved and
unpaved roads, from the Georgetown Steel complex, and from all other
sources.
Small concentrations in the impacted area result from emissions f
International Paper sources because of the high stacks and efflue t
temperatures.
The most probable errors in the emission inventory, if ailv
y$ are as
follows:
o Unpaved road emissions are too great.
o Point source impact from the steel complex is overestimated
o Fugitive emissions and upset emissions from the m-aai
sceej. complex are
not Included.
Further analysis of the air quality data with respect to weather
conditions and steel mill operating conditions might provide added
insight into the source of emissions.
Consideration should be given to control of emissions from unpav d
in the fringe area of Georgetown City. S<*S
Measures for increased control of emissions from the Bt-eai
steel complex should
be investigated.
X-l
-------
APPENDIX A
AWAT.VSIS OF INDUSTRIAL PROCESS FUGITIVE EMISSIONS
A-l
-------
APPENDIX A
ANALYSIS OF INDUSTRIAL PROCESS FUGITIVE EMISSIONS
Calibration efforts for Georgetown, South Carolina were unsuccessful.
As discussed in the main body of the report, two primary reasons for the
poor modeling results could be: (1) the meteorological data used for
modeling was never considered completely appropriate for Georgetown and
(2) the monitoring sites are quite close together geographically. Of
course, another reason could be the incompleteness of the emission inven-
tory. Comprehensive inspections were performed for each major industrial
facility in Georgetown. In particular, sources of Industrial process
fugitive emissions were identified.
EMISSIONS
The inspection reports were reviewed to identify sources and emissions
not modeled in the original effort. Reports were available for Georgetown
Steel, Georgetown Ferreduction, American Cyanamid and International Paper.
For International Paper, estimates were provided for fugitive emission
sources. For the other plants, fugitive emission sources were identified,
and process throughputs given. Emission factors from Technical Guidance for
Control of Industrial Process Fugitive Emissions (EPA Publication No. 450/3-
77-010) were used to estimate emissions from these sources. A summary of
emissions by plant and by source is given in Table A-l.
INITIAL MODELING RESULTS
The industrial process fugitive particulate emissions (IPFPE) were
modeled using AQDM. The contributions from IPFPE were manually added to
contributions from previously modeled emissions. The same meteorological
data as used before were used to model these fugitive sources. The lime
kiln emissions at International Paper were modeled with an area source
-------
TABLE A-l
INDUSTRIAL PROCESS FUGITIVE EMISSIONS IN
GEORGETOWN, SOUTH CAROLINA
PLANT
SOURCE
EMISSIONS
(TONS/YEAR)
Georgetown Steel
Georgetown Ferreduction
American Cyanamid
International Paper
Handling and disposal.of dust
collected by baghouse
Slag handling and disposal
Skull breaking
Yard traffic
Total
Unloading raw materials^"
Non-enclosed conveyors
Total
Bauxite unloading and
conveying ^
Bauxite crushing
Total
Landfilling fly ash
Lime kiln operations
Recovery boilers
Manual sootblgwing of oil-
fired boilers
Yard traffic
Total
72
9
10
_1
60
"60
3
3
6
72
55
15
142
Estimated using throughputs from inspection reports and emission
factors from Technical Guidance for Control of Industrial Process
Fugitive Emissions (EPA—450/3-77-010).
Not estimated because of lack of data.
Included in point source inventory.
Emission estimates from "Source Inspections in Selected Region IV
Nonattainment Areas to Determine Capabilities of Reducing TSP
Emissions", Volume VIIIJ International Paper Company, Georgetown,
South Carolina.
-------
release height of 100 ft. All of the other sources were modeled with
a release height of 10 ft. An area of one (1.0) square kilometer was
assigned to each fugitive source.
Table A-2 gives the concentration at each monitoring site which could
be attributable to fugitive emission sources. As can be seen from this
table, the range of contributions from fugitive emission sources is from
3 3
26 ng/m to 13 pg/m . In order to relate these contributions to those
from other types of sources, see Table A-3.
Two regression analyses were performed for the new modeling results.
In the first analysis, the unadjusted area source contributions were used.
The resulting linear regression equation was:
Y - 132.57 - 0.67X
2
For this equation, the correlation index (R ) was 0.214. For the second
analysis, the adjustments applied to the unpaved and paved road emissions
were used. (See Chapter VI, Page VI-12 of the main body of the report.)
When these adjusted values were used, the resulting regression equation
was:
Y - 85.93 - 0.19X
2
The correlation index (R ) was 0.016. Both of these equations represent
some improvement over the original regression equation in that the Y-inter-
cept was reduced and the slope was brought nearer to 1.00. Yet, the results
are still unsatifactory because of the negative slope and the poor correlation*
SENSITIVITY ANALYSIS
The emissions estimates for industrial process fugitive emissions are
far from exact. Most of the emission factors are rated D or E on a scale
of A-E with E being the least accurate factors. In addition, known fugitive
emission sources, such as yard traffic, are still missing from the inventory.
Thus, there is considerable latitude for testing the sensitivity of the TSP
concentrations to revisions in the industrial process fugitive emission
-------
TABLE A-2
SOURCE CONTRIBUTIONS TO MONITORING SITES
FROM FUGITIVE EMISSIONS1
INDUSTRIAL PROCESS FUGITIVE EMISSION SOURCES
GEORGETOWN GEORGETOWN AMERICAN INTERNATIONAL PAPER
MONITORING STATIONS STEEL FERREDUCTION CYANAMID (GENERAL) (LIME KILNS) TOTAL
County Health
Department
5.3
3.0
0.3
2.8
1.4
12.9
Howard High School
7.5
1.8
0.4
4.6
1.4
15.8
Continuous Monitoring
Station
5.3
3.5
0.8
14.7
1.6
25.9
Dr. Beck
8.4
9.3
0.5
3.9
1.7
23.8
State Ports Authority
5.2
3.7
0.4
7.7
1.7
18.8
All values are annual arithmetic averages.
-------
TABLE A-3
SOURCE CONTRIBUTION TO MONITORING STATIONS
FROM SELECTED SOURCE TYPES1
(MICROGRAMS PER CUBIC METER)
TYPES OF SOURCES
AREA SOURCES2
MONITORING STATION
OBSERVED
CONCENTRATION
POINT
SOURCES
FUGITIVE
SOURCES
UNPAVED
ROADS
PAVED
ROADS
TOTAL
County Health Department
78
27
13
37
6
48
Howard High School
78
14
16
42
4
50
Continuous Monitoring Station
85
14
26
44
4
52
Dr. Beck
62
22
24
48
5
58
State Ports Authority
55
20
19
45
4
52
All concentrations are annual arithmetic averages.
The emissions for unpaved and paved roads are unchanged from the original estimates.
-------
estimates. Similar analyses have proven useful in the past for adjusting
emission estimates for unpaved and paved roads. Usually, such adjustments
can significantly improve calibration efforts. Yet, in this case, such
analysis techniques would not be very useful because the source contribu-
tion to the two monitoring sites with low TSP values are higher than the
source contributions to other sites with higher observed TSP concentrations.
Were the fugitive emissions to be increased, the impact would be greatest
r ^,,1. u should be lowest. Nor can a distinct analysis
upon those sites for which it snouxa oe /
be performed for individual sources•
CONCLUSIONS AND pwrnwMKNDATIONS
The following conclusions can be drawn from this analysis of Industrial
j -»n Georgetown. South Carolina:
process fugitive emissions in beorgei.
Th Its calibration efforts continue to be unsatisfactory.
2.' Industrial process fugitive emissions can contribute significantly
to TSP levels in downtown Georgetown.
3. There are two main reasons for the unsatisfactory calibration
efforts The meteorological data which was collected at the Myrtle
Beach airport are inappropriate for air quality modeling in George-
town Although the use of proper meteorological data might improve
modeling results, the close proximity of the monitoring sites to
each other and to the sources might still preclude successful
calibration.
,,,Bjnna it is recommended that DHEC continue to investi-
Based upon these conclusions,
.fw,innt industrial process fugitive emissions in George-
gate methods for controlling *
j i ¦»„<» with appropriate meteorological data, could also
town. Further modeling, witi
Kothina in this analysis contradicts the earlier
prove useful to DHEC. «o
conclusions and recommendations.
-------
APPENDIX B
AQDM CALIBRATION PRINTOUT
B-l
-------
The attached computer printout includes all point and area sources
with unrevised emissions for paved and unpaved roads. In this and the
following appendices, sources 1-39 are area sources, the source ID
corresponding to the grid system shown in Figures III-l and III-2 and later
given in Table III-l. Sources 40 - 61 are point sources as follows:
40
-
M & T Chemicals
Andrews
Baghouse
41
-
International Paper
Georgetown
Recovery boiler
42
-
International Paper
Georgetown
Recovery boiler
43
-
International Paper
Georgetown
Dissolving tank
44
-
International Paper
Georgetown
Dissolving tank
45
-
International Paper
Georgetown
Lime kiln
46
-
International Paper
Georgetown
Lime kiln
47
-
International Paper
Georgetown
Power boiler
48
-
International Paper
Georgetown
Power boiler
49
-
International Paper
Georgetown
Power boiler
50
-
Georgetown Ferreduction
Georgetown
Conveyor
51
-
Georgetown Ferreduction
Georgetown
Metalizing
52
-
Georgetown Ferreduction
Georgetown
Wiper bar blast collection
53
-
Georgetown Ferreduction
Georgetown
Boiler
54
-
Georgetown Steel
Georgetown
Baghouse
55
-
Georgetown Steel
Georgetown
Roof monitor
56
-
Georgetown Steel
Georgetown
Reheat furnace
57
-
Georgetown Steel
Georgetown
Ladle heating
58
-
Georgetown Steel
Georgetown
Lime handling conveyor
59
-
S. C. Public Service
Georgetown
Boiler
60
-
Samp it Lumber
Georgetown
Wood and bark boiler
61
-
American Cyanamide
Georgetown
Aluminum manufacturing
-------
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APPENDIX C
AQDM BASELINE YEAR ANALYSIS PRINTOUT
For this computer run, a background of 20 ug/m^ was
assigned. Unpaved road emissions were decreased by 502 a d
paved road emissions were increased by 200% as compared to
those in Appendix A. The slope of the regression line was
set at unity.
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f I X1 Nli DEPTH = 1300. MF Tr: ° S
AMMFfJT TFMPFPATIP& = 65. HiGfcFS.FAHPFNH"IT
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APPENDIX D
AQDM UNPAVED ROADS PRINTOUT
The attached computer printout for unpaved roads n„i
is based on the unrevised emissions. (See Chapter VT *
the report.) To account for the revised emissions eon
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APPENDIX E
AQDM PAVED ROADS PRINTOUT
The attached computer printout for paved roads onw
Is baaed on the unrevised emissions. (See Chapter VT f
the report.) To account for the revised emissions e
trations at each receptor should be multiplied by t °ncen"
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APPENDIX F
AQDM AREA SOURCES PRINTOUT
The attached computer printout for all area source,
is based on the unrevised emissions for naved
roads. (See Chapter 71 of the report.) P?o ac^it^r"
the revised emissions, concentrations at each r«r0nf
be increased by the values in Appendix E and reduc**u a?ould
the values in Appendix D. reduced by half
F-l
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-------
APPENDIX G
AQDM 1980 PROJECTION ANALYSIS PRINTOUT
G-l
-------
SOURCE CATA
GECRGETCInN CCUNTY, SHUT H CAROLINA PROJECTIONS 1980 POINT/AREA SOURCES
1
ANNUAL
SOURCE
1 STACK
DAI A
1 SOURCE
SCURCE LQCATICK
SOURCE AREA
EMISSION RATE
1
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SOURCE 10.
(KILOMETERS)
SCUARE
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1 IU 01 AM
via
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-------
CEORCETCWN CCUNTY, SCUTH CAROLINA PRUJ ECTIONS I960 POINT/AREA SOURCES
RECEPTCR CATA
LOCATICNS TO DE USED AS RECEPTORS IN AOOITIlKJ Tfl THC 100 RECTANGULAR GRIC L'lCATIOHS
RECEFTOB X—CCCFCINAT E Y-COORDINAT E
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-------
GEORGETOWN COUNTY, SOUTH CAPOLINA PROJFCTICUS 1980 POINT/As I: A SJUKCES
METEOROLOGICAL INPUT OAT A FOR ANNUAL
MIXING DEPTH = 130C. METERS
AMBIENT TEMPERATURE = 65. UEGKEES,FAhRENHEIT
AMBICNT PRESSURE = 1013. MILLIBARS
STABILITY CLASS I
WINOSPEEO CLASS
hi WO OIRECTICN I 2 3 4 S
N .00046 .00041 .0 .0 .0
NNE .00012 .00025 .0 .0 .0
Nt .0000 3 .'10005 .0 .0 .0
EUE .00010 .00014 .0 .0 .0
E .00039 .00078 .0 .0 .0
ESE .000 31 .00064 .0 .0 .0
SE .00026 .00043 .0 .0 .0
SSE .00029 .00X01 .0 .0 .0
S .00036 .00059 .0 -u .0
SSW .00014 .00018 .0 .0 .0
Sw .00030 .00023 .0 .0 .0
WSW .00053 .00034 .0 .0 .0
M .00080 .00055 .0 .0 .0
WNW .00031 .00030 .0 .0 .0
KW .00023 .0002 7 .0 .0 .0
NNW .00034 .00030 .0 .0 .0
.0
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.0
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. 0
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.0
.0
. J
. 0
.0
.0
.0
-------
GEORGETOWN COUNTY, SOUTH CAROLINA PROJECTIONS 19UO PUIM/AS^tA SCUKCES
METECPULPGICAL INPUT DATA FOP ANNUAL
STABILITY CLASS 2
HUD CIRECTIGN X 2
N .00507 .00254
NNfc .<>0239 .00178
NE .00202 .0C156
ENfc .00131 .00114
E .00271 .00382
ESF .00238 .00435
St .00191 .003B6
SSt .00222 .0C448
S .00246 .00457
SSK .00140 .00128
SM .00130 .00103
liSW .00217 .00178
W .00393 .00360
hNW .00195 .00213
KW .00110 .00135
KNW .00271 .00112
HlNDSPEtP CLASS
3
.00101
.00103
.00062
.00075
.00233
.00261
.00224
.00325
.00524
.00062
.00046
.00119
.00181
.00089
.00062
.00062
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.J
. 0
. o
-------
CEOHGETOWN COUNTY, SOUTH CAROLINA PROJEC TI OiiS 1980 POINT/APIA SiU-KES
*1E TECRGLOGI C AL INPUT DATA FOP ANNUAL
STABILITY CLASS 3
WINDSPEED CLASS
KINO DIRECT I ON 12 3 4 5c
N .00237 .00407 .00t27 .00046 .0 .0
NNE .00132 .00293 .(10J82 .00034 .0 .0
NE .00100 .00250 .0026B .00005 .0 .J
EME .00076 .00213 .00272 .00018 .0 .0
E .00119 .<10252 .00858 .00080 .0 .O
ESE .00113 .00361 .00549 .00023 .0 .0
SE .00103 .00306 .00364 .00023 .0 .0
SSC .00103 .00400 .00533 .00039 .0 .0
S .00168 .00492 .01578 .00329 .00007 .0
SSW .000 80 .00201 .00501 .00071 .00002 .U
SW .00091 .00158 .00174 .00007 .0 .0
l»SW .00367 .00215 .00242 .00018 .0 .0
W .00129 .00412 .00478 .00039 .0 .0
hNW .00055 .00256 .00341 .00018 .00002 .0
NW .00075 .00199 ,0022o .00016 .0 .0
NNW .0J112 .00192 .00254 .00043 .0 .0
-------
GhOktif TOWN CDUNTY, SOUTH CAROLINA PROJtCUUiJS 19JJ PUI NT / W t .1 SCUHCES
METEOROLOGICAL INPUT DATA FOR ANNUAL
STABILITY CLASS
WIND DIRECTION
N
NHE
NE
ENC
E
ESE
SE
SSE
S
SSW
sw
kSh
w
fcNW
NW
mu
1
.00165
.00107
.00005
.00094
.001C9
.0006 7
.00046
.00069
.00065
.00039
.0003 7
.00063
.00070
.00040
.00044
.0004 I
2
.00521
.00419
.00373
.00290
.00464
.00288
.00199
.00322
.00483
.0026 L
.00213
.00204
.00274
.00185
.00105
.00181
WINOSPFED
3
.00743
.00542
.00350
.00361
.005 83
.00226
.00158
.00210
.00901
.00508
.00153
•00178
.00293
.00222
.00222
.00233
CLASS
4
.00572
.00247
.00103
.00096
.00210
.00062
.00069
.00069
.00702
.00487
.00082
.00107
.00290
.00295
.00197
.00293
5
.000 53
.00016
.000J7
.00005
.0
.000 02
.00002
.00002
.00025
.00021
.0
.0
.00023
.00030
.000 39
•00046
6
.0
. 0
.0
.00002
.0
.0
. 0
.0
.0
.00002
.0
.0
. 0
.00002
. c
.oooar
-------
GEORGETOWN COUNTY, SOUTH CAROLINA PROJECTIONS
1930 POINT/ARIA SQUKCES
METEOROLOGICAL INPUT DATA FOR ANNUAL
STABIL ITY CLASS 5
WIN DSP EfcD CLASS
WIND DIRECTION 1 2 3 ' 4 !> 6
N .0*828 .02109 .C0910 .00249 .00016 .00007
NNE .02534 .01603 .C0883 .00117 .00002 .0
KE .01487 .01155 .005Bt .00105 .0 .0
ENE .00844 .00=12 .00389 .00062 .00005 .0
E .01483 .01082 .00732 .00C87 .00002 .J
ESE .00944 .00556 .00224 .00018 .0 .0
SE .00801 .00347 .00160 .00027 .0 .0
SSF .01038 .00517 .00196 .00037 .00002 .0
S .02136 .01297 .00731 .00144 .00007 .0
SSW .02715 .01683 .00949 .00162 .00014 .0
SW .02829 .01255 .00416 .00023 .00002 .0
hSW .02040 .00908 .00242 .00014 .00002 .0
W .02654 .01251 .0C629 .00080 .00016 .0
fcNW .01186 .00617 .00398 .00087 .00011 .00002
NW .00824 .00498 .00394 .00128 .00014 .0
NNW .02321 .00702 .00373 .00185 .0J016 .03002
-------
GEOPGE TCWN COUNTY, SOUTH CAROLINA PRQJFCTIOUS ivad PL'I NT/AREA S UI!'CIS
INPUT REGRESSION PARAMETERS ARE:
EttLUIAfl— 3t-ifcILBCE£I __SLQE£_
PARTICULATES 0.0 1.0000
-------
GEORGETOWN CCUNTV, SOUTH CAPCLINA PROJECTIONS 1980 POINT/AREA
_
1 B£C£EIQR_££&££tiIMIJ£ti-£Mfi
1 i
i RECEPTOR 1
1
RECEPTOR LOCATION | EXPECTED ARITHMETIC MEAN
i -MIBfiEB I
i 1
1K1L0METERS) 1 » « 1CR0GRAMS/CU. METERJ
i |
BCEIZ
_K£EI _ i _ _ SU2 _ _ EABU£UL&I£5_
| | |
i 1
1 1 1
653.0
1 3689.0 | 0. 1 4«.
1 2 1
653.0
1 3690.0 I 0. I 48.
1—_ 3 1.
£53mQ_
_i__3*Sl.mi}_ 1 _ _ iim _ __i 4flm
1 4 1
653.0
1 369*!. 0 | 0. | 47.
1 5 1
£53.0
1 3tS3.0 | 0. 1 48.
1 6 _1
___653»Q_
_l__3fc24mli 1 tlm 1 52*
1 7 1
653.0
1 3£S5.0 | 0. I 52.
1 8 I
653.0
1 3696.0 j 0. I 51.
i a i_
653mfl_
_l__3£SZmfl i Q,. 1 51*
1 10 1
653.0
1 3698.0 I 0. | 50.
f u I
654.0
1 3te9.0 | 0. | 49.
1 12 l_
-------
CEGRGETCHN CILA.T V, SUUTh CtHLL INA CRUJEC Tl'IN S 1980 POINT/AREA SOUKCfc S
1
1
1
__ __BEQEPID£
I
-L&l A 1
1 RECEPTOR
i
RECEPTOR LOCATION I
EXPECTED ARITHMETIC MEAN I
i _8Utlfi££
1
(KI L0M[T[ RSI |
(M1CRCGRAMS/CU. KETEHI |
1
_ ¥£li.I_ i_ _
| |
SQ2 P£EJi£i,LaiES__!
1 ¦
1 41
157.0 I 3tE9.0 I
0. | 51. I
i 42
__ 65Z*U i i __
U. 1 51. »
1 43
657.0 I 3(91.0 1
a. 1 52. 1
1 44
657.0 | 3692.0 1
0. 1 51. 1
1 _ _45_
_65I*Q_ JL 3iSl^Q_ _1_ _
Qm. i 52* I
1 46
657.0 I 3694.0 |
0. | 50. I
1 47
657.0 | 3695.0 1
0. | 49. |
1 48
£51*Q__i 3*9<>.0 i
0. 1 49. 1
1 49
657.0 | 3697.0 I
0. I 47. I
1 50
657.0 I 3(90.0 1
0. I 47. |
J 51
658*Q— 1_3£82*0 1
£ |
1 52
658.0 I 3690.0 I
0. | 54. |
1 53
658.0 | 3691.0 I
0. | 54. |
1 54
£58*fi__l__l£S2..Q 1
_ U*. i _ _ 54* 1
1 55
658.0 | 3693.0 I
0. f 57. |
1 56
658.C | 3£«4.0 1
0. | 55. I
i 51
&5ft*Q__l _2*35*Q 1
t). . 1 54. 1
I 58
658.0 | 3656.0 1
0. | 53. 1
1 59
658.0 | 3697.0 1
0. I 52. I
1 .60
fe58*Q__i__i£2a*U 1
Q* i |
1 61
659.0 I 3689.0 1
" 0. I 52.~ |
1 62
659.0 | 3690.0 1
0. | 54. I
1 ta___
_ _ 452*fi_l 1_ _
. _fl* 1 53*_ _l
1 64
659.0 | 3692.0 1
0. I 65. 1
1 65
659.0 I 3(93.0 1
0. I 89. |
1
I
r
652*il i 3£Si«.Q I
_ _Q* _i 85* 1
1 67
659.0 I 3695.0 1
0. 1 62. 1
1 68
659.0 | 3696.0 1
0. I 56. I
1__ 62_
452*fl_i„3fiSI*0 1
J 5^* 1
1 70
659.0 I 3698.0 |
0. 1 ~ 52. 1
1 71
66C.0 | 3(69.0 I
0. I 49. |
I 12
1 2iStf*Q__ 1
- 0* _ _ 1 _5a* _ 1
1 73
660.0 | 3691.0 |
0. I 51. 1
1 74
660.0 1 3692.0 |
0. 1 53. I
1 ...25...
fiifi* Q J 2 63i*U 1
'2*. 1 SB* 1
1 76
660.0 I 3691.0 1
0. I 60. I
1 77
660.0 I 3695.0 |
0. 1 59. 1
1 18
_1
4iifl*0__l__.3iStr«.li 1
tf* 1 55* 1
1 79
I
660.0 | 3697.0 |
0. 1 53. I
1 80
1
££C^fl_..J_ 3iS3*Q _ J
ii* 1 5^* 1
-------
GEORGETOWN CCUNTY, SOUTH CAPCUNA PROJECTIONS 1980 t*C INT/AREA SCUKC
1
1
l<££EPIilB_£CN£i:NIfiAIJCN
D&IA
1
1 RECEPTOR
RECEPTOR
1
LUC *TION |
EXPECTED
ARITHMETIC MEAN 1
1 NUHBfB
1
IKIIOMETERSI |
(MICRJGRAMS/CU. MCTCP.J 1
1
bCSIZ. _
|
iJEfil 1
|
S.Q2
EMI1£LL&I£S__I
I |
J Si
451«0__i
__affl2*Q 1
Qi
_1 46* 1
1 82
661.0 1
3690.0 I
0.
1 47. 1
1 63
661.0 I
3691.0 |
0.
1 47. |
I B k
bbl±Q i
__JiS2«iJ i
__iU
_1 42* 1
1 as
661.0 |
3693.0 I
0.
1 53. |
1 86
661.0 I
3694.0 I
0.
1 52. 1
1 87.
1
__3*S5*U i
__Qx
_1 52* 1
1 88
661.0 |
3696.0 |
0.
1 53. I
1 89
661.0 I
3697.0 I
0.
1 52. I
1 2Q
fc&i«Q__l
__3i2a*l! 1
Q,
_i 51* 1
1 91
662.0 I
3689.0 1
0.
I 44. |
1 92
662.0 1
3690.0 |
0.
1 45. |
1 21
6t2«fl__l
1
__u*
_1 *5* 1
I 94
662.0 I
3692.0 I
0.
1 47. |
1 95
662.0 1
3<93.0 |
0.
1 49. |
1 2fe
662*il__l
__3fS4a.Q i
_1 4"* 1
1 97
662.0 1
3695.0 |
0.
1 50. |
1 98
662.0 1
3696.0 |
0.
1 50. |
1 22
£62«fl__l
—itauQ 1
!i«.
-i 5Q* 1
1 100
662.0 1
3698.0 I
0.
1 49. |
1 101
659.1 I
3C9t.0 I
0.
1 83. |
I 122
__3 iSii2 1
__u*.
1 1
1 103
658.6 I
3 £92 . 8 |
0.
1 66. |
1 104
659.4 1
3693.3 |
0.
1 CO. |
1 1Q5
652*U__1
—3622^4 1
__a^
_1 12* 1
1 106
695.0 I
3715.0 1
a.
1 33. |
1 107
680.0 I
3715.0 I
0.
1 34. |
i lfifl 1
6I6*5„1
__3J£5»0 i
__a*.
_1 Ifi* 1
1 103 1
624*Q 1
1
__'2r
_1 iiS* 1
-------
btunutlUHN CCLNTY, SOUTH CAFCLINA PROJECTIONS IVHO
SOURCE CONTP letT 1CKS TO FIVE MAXIMUM RECEPTORS
ANNUAL PAPT1CLMTES
HCROGRAMS PER CUeiC METER
T~SOURCE | RECEPTOR ~T RECtPTUR I RECtPTUR I
i i 65 1 66 i 1(11 1-
| I | 0.55 i I 0.58 * I 0.59 X |
J 1 0.4S33—1 3*4211—1 3*4212—1.
| 2 | 0.75 % I 0.80 « I 0.82 t I
1 1 0*6202—1 3*6Z50—1 0*6Z22—I
| 3 I 0.40 % I 0.43 S I 0.44 % I
1 l Q*i£i5 i a*i&i0—i a*i6ao__l
t it | 0.88 S I 0.93 i I 0.95 % I
1 I 1 0*2211—1 tuzaai—1
| 5 t 0.28 S I 0.30 X I 0.31 * I
i 1 0*24B4—1 3*2546—1 41*2556—1
| ~ 6 I 0.93 I I 1.00 X I I.01 X I
I i 3*fl222„J 3*4442—1 3*3412—1
j" r I 1.33 * I 1.43 * I 1.45 % I
1 1 1*1811—1 1*2103—1 1*2345—1.
| a I 0.02 % I 0.03 * I 0.U3 X I
i 1 3*3208—i 3*3226—1 Q*3226__l
| 9 | 0.01 X I 0.01 X I 0.01 T. I
J 1 0*Q111 J 0*0122—J 0*U122—1
| 10 I 0.33 1 I 0.36 t I 0.37 % I
J J 0*2244—J 3*1062— i 3*1362—1
I |l I 0.23 * I 0.26 X J 0.27 % I
J 1 0,2044—1 0*2223—1 3*2212—
| " 12 I 0.53 % I 0.59 * | O.fcO * I
1 1 0*4221—J 3*4212—1 Q*42fc5„i
| U | 0.3!: X I 0.39 C I 0.40 % I
J I 0*1111—1 3*3122— 1 3*1110—1
| 14 | 0.86 * I 0.91 X I 0.92 % I
J 1 0*2625—1 3*IZ1I—1 0*2fe22—I
| 15 I 4.87 % I 5.20 X I 5.38 % I
J 1 4*1422—1 4*4512—1 4*4SQ1—1
| It | 0.99 X I 1.04 * ( 1-05 S I
J 1 42*3912 1 a*ai25—J 3*8220—1
| 17 I 5.03 * I 4.96 X I 5.02 t I
J 1 4*4J824 1 4*1225—1 4*1B00„ 1
| 18 T 2-84 * I 3.24 1 I 3.31 * I
i 1 2*5303—1 2*2412—1 2*2583—1
| |9 I 0.92 X I 1.68 * I 2.16 % I
1 : 1 0*B211— 1 1*4213—1 1*2022—1
I 20 | l.te * I 7.26 X I 6.54 % I
1 I l*5flU2__l 6*1442—1 5*4511—1
| 21 I 0.32 X I 0.58 S I 0.44 % I
1 | 0*2f26__l 3*4321 1 3*1134—1
PCINT/4PEA SOURCES
RECEPTOR 1 PCCUPTCK~ |
_1Q4 1 105 1
0.62 ? t 0.68 % |
0*4263 1 0*4321— 1
0.06 X I 0.92 % I
3*6213 1 0*6525—1
0.45 X I 0.49 % I
3*1641—1 0*1520—1
0.97 * I 1.09 % |
0*2261—1 0*2S12„ 1
0.32 % I 0.34 % I
0*2540—1 0*2442—1
1.02 X I 1.14 % J
0*8200 1 0*2201—1
1.46 % I 1.63 X I
1*1626—1 1*1225—1
0.03 X I 0.03 % I
0*0212—J 0*0126—1
0.01 X I C.01 X I
0*0115 1 0*0102—1
0. 37 * I 0.40 { I
0*2264—1 0*2062 1
0.26 X I 0.27 T I
0*2106—1 0*i2J4„1
0.59 * I 0.63 X |
0*4220—1 0*4565—1
0.3"; X I 0.42 X I
0*1110 I 0*J30Ji—1
0.94 * I 1.05 t |
0*2502—1 0*2554—1
5.59 it 5.94 i |
4*4205 1 4*2222 1
1.06 * I 1.22 * I
—0*0516—1 0*JJ221—1
4.97 * I 6.13 S I
—1*2055—1 5*4162 1
3. II * I 3.71 X I
2*5410 1 2*6112—1
1.72 X I 0.92 * I
J*1JL2S„1 .0*6652—1
1.74 * I 1.04 X I
1*1227—1 5*Z502 1
0.30 { | 0.41 * I
0*2406—1 0*2562—1
-------
GEORGETOWN CCCKTY, SUUTH CAfCLlNA FKCJ(CT IONS 1980 «"J INT/AREA SOURCES
SOURCE CONTRIBUTIONS TO FIVE MAXIMUM RECEPTORS
ANNLAL PART ICILATES
MICROGRAMS PER CUPIC METER
I SOURCE \ RECEPTOR I RECEPTOR I RECEPTOR I RECEPTOR I RECEPTOR I
i_ 1 65 I 6ii i— -101 J lQi 1 105 i
| 22 I 0.04 X I 0.05 X I 0.05 X I 0.04 3! I 0.04 X |
1 1 O-p^b I 0*0452—1 Q*Q442„1 0*0342—1 £*0302—1
| 23 I 0.75 X I 1.11 * I 1.08 < | 0.88 X 1 1.12 X I
1 J. 0*6214 i 0*2422 1 0*2021 1 il*Z10J—i 0*80112—1
| 24 I 5.94 X I X.94 X I 1.87 % | 9.70 * I 3.34 X I
1 1 §*2SB2__J 1*6414—1 1*5544—1 2*2a66—1
| 25 I 0.19 * I 0.10 X I 0.11 % I O.JO % I 0.28 X I
1 1 0*1231—1 0*01133—1 0*0200—1 0*2229—1 0*1222—1
J 26 I 0.04 55 | 0.03 * I 0.04 % I 0.09 X I 0.04 % \
J 1 Q*03I2 I 0*0256—J 0*0312—1 0*0621— i 0*0323—1
| 27 I 0.26 % I 0.22 X I 0.2J % I 0.33 X I 0.74 X |
1 1 0*230JH__J Q*lfl46 I 0*1221—J 0*2620—1 12*5345—1
| 26 1 0.36 t I 0.33 I I 0.34 1 I 0.39 % I 0.49 % J
1 1 0*3205 I Q*21ilfl—J Q*2fl42—1 0*3163—1 0*3503—1
| 29 | 0.09 % | 0.09 X I 0.09 J | 0.10 % | 0.12 X I
1 I $*B£12 L_ 0*0250—1 0*0262—1 0*0fl33_1 0*0ii41„1
| 30 I 0.69 * | 0.71 X I 0.73 t I 0.79 t | 0.87 % I
1 1 p.6162 I 0*6021__J 0*6066—1 0*6301—I 0*6232—1
| 31 | 1.19 * I 1.23 % I 1.26 I I 1.35 X | 1.48 Z I
1 1 Ufifcltf—1 1*0453— i 1*0531—1 1*0025—1 1*0620—1
| 32 | 0.33 % I 0.35 X I 0.36 % I 0.38 % I 0.43 % I
1 1 0.2S86 I 11*22112 1 0*1001—J 0*3042—1 0*3062—1
| 33 I 0.10 X | 0.10 X I O.ll S I 0.11 X I 0.12 X I
j i o.oe77 i 0*0022 J a*aaa2„ l o*0836— i 0*2224—l
| 34 I 1.43 X I 1.50 S I 1.52 J I 1.57 ? I 1.68 X I
1 1 1*2252—1 1*2221} I 1*2625—1 1*2521—1 1*2022— 1
| 35 I 1.63 % I 1.69 * | 1.72 % I 1.79 X I 1.99 X I
J 1 1*4426 I 1*4345—1 1*4323—1 1*4343—1 1*434Q—1
| 36 | 0.64 I I 0.68 Z I 0.69 X I 0.71 * | 0. 79 X I
J 1 13*5232 L_ 0*5222—1 0*5205—1 0*5Z0fi—I 0*5202— 1
| 37 I 0.26 % I 0.28 X I 0.28 % | 0.29 X I 0. 33 X I
1 1 0*2335—1 11*2325—1 0*2312—1 0*2351—1 0*2240—1
| 38 I 0.81 « I 0.76 X I 0.78 % I 0.89 ? | 1.03 X |
1 1 0.7234 I 0*6435—1 0*6460 1 0*2104—1 0*2443—1
| 39 | 0.30 * I 0.32 X I 0.32 J I 0.33 X | 0.38 X I
1 1 £*22£2 I 0*2622—1 0*2662—1 0*2625—1 0*2222—1
| 40 I 0.01 I i 0.01 % I 0.01 X I 0.01 X | 0.01 X |
i 1 0*££26 1 0*0104—1 0*0104—1 0*0023—1 0*0022—1
| 41 I 0.00 X I 0.02 * I 0.02 % I 0.01 X I 0.00 t I
1 __ 1 0*0£12__1 0*11122—1 0*01411—1 0*0061—L 0*0002—1
| 42 I 0.00 X I 0.04 X I 0.04 % I 0.02 % I 0.00 X !
1 1 £*0£34 J 0*0352—1 £*0201—1 0*0123—1 0*0012—1
-------
CEOHGETCUN CCLNTY, SOUTH CARCLINA FKCJECT1UNS 1980 POINT/AREA SCUPCES
SOURCE CGNTPI BUTICKS TO FIVE MAXIMUM RECEPTORS
ANNUAL PART 1CLL4TES
KICPOGRAHS PER CUBIC METER
I SOURCE I RECEPTOR | RECEPTOR I RECEPTOR I RECEPTOR I RECEPTOR |
I 1 £5 1 &L J 1121 1 li& 1 1U5 i
I 43 I 0.07 t I 0.19 X 1 0.17 * I 0.12 X | 0.09 % |
1 1 «*fi£l>U—] il*153fc„1 li*142£__l i)*S}225„l 0*i2£42__1
I 44 1 0.09 * 1 0.24 t I 0-22 % I 0.15 X I 0.12 * |
1 i 0*0223—1 U*2ii24__l 0*lfi55__l Q*1214_1 a*aa24_i
I 45 | 0.18 ? | 0.44 « | 0.42 i I 0.2? X | 0.29 X I
1 1 Q*152Ji—1 Ji*i4SS—J ii*34fll__l e*2122_l ii*2Ui2—1
I 46 I 0.11 I ) 0.46 t I 0.^2 * I 0.21 % I 0.17 % I
1 1 0*1024—1 0*3306—1 0*3523—1 0*1643—1 0*1212—1
I 47 I 0.01 2 | 0.07 * I 0.06 * I 0.02 t I 0.01 X I
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1 1 32*1332 L Ji*££52__l f3*24JEl—1 ifl*2Ji3£__l 22*5554__1
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APPENDIX H
AQDM 1985 PROJECTION ANALYSIS PRINTOUT
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