GUIDELINE SERIES
OAQPS NO. 1.2-016
GUIDELINES FOR DESIGNATION OF
AIR QUALITY MAINTENANCE AREAS
US. ENVIRONMENTAL PROTECTION AGENCY
Office of Air Quality Planning and Standards
Research Triangle Park, North Carolina
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450R74O06
it
OAQPS Guideline
GUIDELINES FOR DESIGNATION OF
AIR QUALITY MAINTENANCE AREAS
Standards Implementation Branch
Control Programs Development Division
Office of Air Quality Planning and Standards
U. S. Environmental Protection Agency
January 11, 1974
NOTE: Revisions and additions at end
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Preface
These guidelines are presented herein in their final form.
Although a "Second Draft" dated December 21, 1973, had been
circulated, it contained only the first three sections. The
first three sections with minor revisions are enclosed herein with
the remainder of the guidelines for completeness. The revisions
of the first three sections are:
(a) The Table of Contents was revised to include three
Appendices
(b) In the flow diagram on p. II-l, the reapplication of
the initial designation criteria has been eliminated.
(c) On p. 11-3, in the list of types of areas which might
be used for designation, Vcountles" is takenout of the
heading "groupings of," since a single county could,
in some cases be designated as an AQMA.
(d) On p. III-l, reference to the reapplication of the
initial designation criteria has been deleted.
(e) On p. III-l and III-2, criteria related to air quality
have been revised so that the air quality data for the
past two years must be considered in applying the criteria.
To aid the reader in following the techniques for projecting
emissions and air quality, three example calculations are presented
in Appendix B for a hypothetical area to determine whether the area
has the potential for violating a NAAQS within 10 year.
To aid the States in estimating future manpower requirements
for the maintenance of standards program, Appendix C contains a list
of tasks anticipated within the coming year and a half.
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TABLE OF CONTENTS
I. Background and Introduction
II. General Instructions and Discussion
IH. Initial Designation Criteria
IV. Method of Projecting Emissions
V. Instructions for Modeling Air Quality Concentrations
VI. Projections of Demographic and Economic Indicators by SMSA
Appendix A - Basis for Initial Designation Criteria
Appendix B - Example of Analyses for a Hypothetical SMSA Employing
the "Back-Up" Method of Estimating Emissions
Appendix C - List of Tasks to be Performed for Maintenance of
Standards Program
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AIR QUALITY MAINTENANCE AREAS
Background and introduction
Pursuant to 40 CFR 51.12(e), published on June 18, 1973, in the Federal
Re£is_te_r, Voljme 38, P. 15834, all State Implementation plans "...
shall identify those areas (counties, urbanized areas, standard
metropolitan statistical areas, et cetera) which, due to current air
quality and/or project growth rate, may have the potential for
exceeding any national standard within the subsequent 10-year period."
After areas are identified by the States, EPA will review these
designations and will r.repare an official list of areas by June 1974.
For these areas, the States must then perform a thorough air quality
analysis of each of these areas ; where this analysis shows that an
orefiwill definitely not maintain a NAAQS during the 10-year period,
a plan must be developed for that area which demonstrates that the
standard will be maintained.
As -^.ate-4 in the preamble to the above-cited rulemaking, EPA intends to
provide assistance to the States in
a. identifying the areas (for reference, "air quality maintenance
areas" - AQMA's) which may exceed a national standard within
the next ten years, and
b. analyzing the impact of growth and development oh air quality in
such problem areas.
These present guidelines are to assist the States in identifying AQMA's
and do not require as extensive an analysis as will the guidelines for
analyzing the impact of growth which will be issued in the Spring of 1974;
guidelines for preparation of plans for maintenance of air quality will be
issued in late summer of 1974. The overall timetable for plan development
with regard to 40 CFR 51.12, paragraphs (e) through (h) is:
March 18, -1974 State submission of identification of AQMA's
June 18, 1974 EPA publication of list of AQMA's
June 18, 1975 State submission of:
a. Impact on air quality of projected growth in
AQMA's
b. where needed, a plan to prevent any national
ambient air quality standards (NAAQS) from
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being exceeded over the 10 year period from
the date of plan submittal.
b .IP(Mi led timetable of State and EPA activity over the next two years
.i,r t:\(- maintenance of standards program is presented in Table 1-1.
EPA intends that the guidelines be easy to follow
yet still be sufficiently responsive to insure that as many appropriate
AC'MA's as possible are designated without over-desigation. Because of the
r.omp';r:x nature- of the tasks involved and because of the many uncertainties
>.neivrit in v\e projection of emissions and air quality, the guidelines
are written to obtain some degree of consistency in the information to be
Sub.ni ;:t'_sci by the States, wnile still allowing for innovative approaches.
?.-.ur to preparation of these guidelines, EPA consulted with several
State and 'scxal air pollution control agencies and regional planning com-
missions. EPA has attempted to incorporate the.advice thus obtained in
these c'j-idel ii;es. Although every attempt has been made to anticipate and
address questions which may arise, invariably unresolved issues will occur.
Where questions do arise it is recommended that the appropriate EPA Regional
Office be contacted for guidance.
The guidelines for AQMA designation are written for the State agency
responsible for designation. In most cases this will be the State air pollu-
tion control agency. Because the impact of the provisions for maintenance
of standards will affect areas which are of concern to other State agencies
and local general purpose governments (such as those responsible for
regional land use and transportation planning, water pollution control, etc.),
it is advisable for the designating agency to solicit comment from these agencies
and involve tnem in the designation process.
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Federal EPA Designation of AQMA's
As indicated above, EPA will review the list of designated AQMA's
submitted by the States and will publish, after allowing for public
comment, an official list of AQMA's by June 1974. Due to time and manpower
constraints, EPA will not be able to analyze in detail each State which
does not submit any material concerning AQMA designations. Consequently,
EPA's designation for State.; which do not offer a submission will be on
the basis of SMSA's whose growth rates for particular demographic-economic
indicators exceed a specified value. In addition, the present value of
i
the indicator, current air quality and the meteorological conditions which
present a pollution potential would be incorporated in EPA's criteria for
AQMA designation. In most cases, actual emissions and air quality per se
would not be projected by EPA. The critical growth rates would be determined
as follows:
a. Percentage growth rates for population and earnings by industrial
category have been obtained on an SMSA basis for the years 1975-1985.
b. SMSA's have been listed by regional priority classification for
each pollutant and ranked by percentage growth rate for population
and earnings by industrial category.
c. Using best judgement, demographic-economic indicators would be
selected as representative of each pollutant-source category combina-
tion.
d. After scrutiny of the spread of growth rates, critical growth rates
would be selected using best judgement for each demographic-economic
indicator corresponding to a pollutant-source category combination.
The critical growth rates per demographic-economic indicator would vary
depending on the pollutant priority classification of the AQCR in which the
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:>MSA is located. Thus, a lower critical growth rate would be specified
for those areas having a currently significant air quality problem
(Priority I regions) than for those areas which do not have a currently
significant air qi^ility problem (Priority III regions).
fjture Guidelines
In addition to these guidelines on AQMA designation, EPA will publish
two other sets of guidelines, one concerning the detailed analysis and
projection of air quality for the AQMA's and the other concerning the
develorient of a plan for maintenance of NMQS where needed. These future
g>-ic;:l ines are briefly discussed below:
A. Guidelines for AQMA Analysis
The analysis step is intended to determine whether air quality limits
are inaeect threatened, and if so, when, where, and which are the principal
sources 'nvolved. The results of this analysis will be useful in deter-
mining whether an SIP revision is necessary, and in formulating alternative
plans if they are needed.
Descriptive analysis would proceed along the general lines described
below concerning analytical procedures for selecting AQMA's except that
the analysis would be more thorough. In particular, the following steps
would be followed:
1. The quantity of emission of each pollutant for which the AQMA is
designated would be projected to 1985. This projection would
consider:
a. present emissions by source category and, if possible, by
location.
b. expected growth of each source category based on past trends
and highly probable future contingencies.
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c. Present and highly probable future emission restrictions
on new and existing sources.
2. The 1985 projected emission inventory would be allocated to
the land in the least desirable* pattern which would be permitted
under present land use restrictions. This "scenario" is the one
which would result in the most centralized locations of new sources
of emission. Presc.it zoning patterns and land use plans would
be used in allocating new sources to the land.
3. 1985 air quality would be estimated from the emission pattern scenario,
preferably using a calibrated diffusion model. If this is impossible
in the time available, a less sophisticated model musSt be used.
The models, emission factors, growth projection techniques, etc. suitable
for performing the analysis will be forthcoming in May of 1974.
B. Guidelines for Development of Air Quality Maintenance Plans
In late spring or early summer 1974, EPA will issue guidelines to States
on the preparation and submittal of 10-year air quality maintenance plans.
These plans, which will be due on June 18, 1975, will pertain only to portions
of States designated as Air Quality Maintenance Areas (AQMA's') by the Adminis-
trator in June 1974. The guidelines will be organized around four subject
areas. The first relates to the mechanics of preparing and implementing the
plans. Topics ranging from plan format to procedures for categorizing emis-
sion sources will be covered. The second subject a.rea deals with the
evaluation of the air quality implications of local land use and transportation
plans. It may be discovered in some AQMA's that growth plans are incompatible
with air quality maintenance, and need to be revised. The third subject area
*Least desirable from an air quality maintenance point of view
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will include a list of maintenance strategies. Emission allocations,
transportation controls, fuel and energy conservation measures, and
other strategies will be discussed, along with procedures to quantita-
tively estimate their impact on air quality. The final subject area
will cover the coordination of air quality maintenance plans with other
environmental planning activities. These include water quality planning
and che review of environmental impact statements.
1-6
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J A S 0 N 0
"Ti/3 1 1974 ! 1975
EPA Crafts Analysis State Conducts Analysis and Develops Internal
Guidelines (51/2 ' Control Plans (9 months) State Review
months) (2 months)
(1
mo)
States
Revise
Plans
(1 1/2
months)
EPA Reviews Plans and
Develops Substitute
Plans for States Failing
to Submit (4 months)
TABLE 1-1. MAINTENANCE OF AIR QUALITY STANDARDS
ACTIVITY SCHEDULE
11/29/73
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II. General Instruction and Discussion
The general approach which this guideline presents 1s depleted as
follows; the Roman numerals refer to the portions of the Gu1del1n«1n which
that item is described:
all SMSA's
1
SMSA's automatically ' Apply initial
excluded as AQMA's
designation
criteria
(III)
. SMSA's automatically
included as AQMA's
SMSA's neither automatically
excluded or Included
Predict 1985
emissions (IV)
Predict 1985
air quality (V)
SMSA' excluded
as AQMA's
Determine If
NAAQS's are
maintained
SMSAIs included
% f AS1UAIf
Tas AQMA's
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i';eo',|r\v;j 'i(,r> i area.-, i.o be considered
(!) Tivvc 3ppr-nr: to i>> a nr;ed to specify which areas, as a minimum,
'.en Id ; <":>>.) iy,:t'd ir, determining 'w/iich areas are or are not to be
...v.r:;i ,..,' as "vjMA1 r, The areas selected are the Standard Metropolitan
v:;.,-;v?.; -j.\ .-.--or- 'y'SA'r.) 35 de^r.cd by the Offic? of Management ?rd
t
v!:> e'. Y-C;>:MV ".V f-ji't-a'j ff t.-,e Budget). T;u; r-t; ./.-,.'.-- :'or cno".iuig
Si'iSA's are:
5i"x-''s nistorically exhibit higher growtn rates of population
t;io:i non-Si'1S-:'. ar'jas.
SMoA's exhibit the highest concentrations of population and
Projections of population and economic indicators are avail-
able on an SMSA basis.
A rear, of SMSA's change with time as population density increases
facilitating future changes in the designation of AQMA's.
SIISA's account for roughly 70 percent of the nation's population
l-ut only about 10 percent of the total 'land areas.
rt SMSA, alone or in its entirety, however, may not always be
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constitute the boundaries of the area. Designation by (currently
defined areas, however, does not mean that the subsequent detailed
analysis of the AQMA and possible control strategy must apply to the
entire AQMA as originally designatedthe analysis and plan can be
restricted to selected problem areas within the AQMA. On the other
hand, one should be aware that designated', areas have been referenced
in the proposed regulations for review of indirect sources in all but
three States (38 F.R. L9893, Federal Register of October 30, 1973).
If the regulation is promulgated as proposed, the size of facilities
which would be exempt from review will be smaller in the designated
areas (AQMA's) than in the non-designated areas. Until EPA publishes
the list of AQMA's in June 1974, all SMSA's would, for purposes
of the proposed indirect source review regulation, be considered
designated areas.
In addition, one should be aware of possible relationships between
the designated areas (AQMA's) and the areas to be chosen under the
forthcoming regulations concerning significant deterioration. For
ii
instance, if the significant deterioration regulations provide that some
(probably urban) areas are permitted to deteriorate up to the secondary
national ambient air quality standard, these areas will probably be the
same areas as the AQMA's. Therefore, it might be appropriate to designate
an area large enough to allow for the proper amount of desired growth.
A non-exhaustive list of types of areas which might be used for
designation include:
AQCR's
SMSA' s
Urbanized Areas
Counties
f Cities
rouplngs of: ^ Townsn1ps
VJJoroughs
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Planning regions used for transportation, land use or other planning
Sub-state? planning districts
(?) Designations should be pollutant-specific and should indicate
tr;«? poll'Jt;ints for which the area is designated. The detailed analysis
required Tor each of the finally designated AQMA's would then be done
only on the basis of tnose pollutants which are identified as problems
in exceeding air quality standards in the future. f
(j) r:- ijnifonnit/ and to avoid proliferation of designated AQMA's a
sin-Vie Boundary for each AQMA should be chosen regardless of the number
ov oci"ut-/; thin the area may overlap or be mutually exclusive (e.g.,
ono port of an AQMA may experience growth in mobile source pollutants
whiip another part, may suffer an increase in SOp emissions from fuel
irotritiostion), but only one AQMA should be designated which enclosed
all the problem areas of a particular geographic location.
(4) in the case of SI^SA's which cross State boundaries, the respective
States :.hould coordinate their-designations. An SMSA constitutes, by
definition, "...for general economic and social purposes, a single
community...". Therefore, it is recommended that, for an interstate
SHSA, one AQMA be designated jointly by the respective States. It is highly
desirable that, one single Integrated plan be adopted by all States Involved.
However, if this is not practical then all State plans in Interstate AQMA's
should HP at l9fl«t comoatible with one another.
It may be, however, that one State's portion of an SMSA may
experience growth in emissions while the adjacent State's portion may
not; in this case, it may be desirable for the growth State to designate
an AQMA in (and/or around) its portion of the SMSA, but for the non-
growth State not to designate in its portion. Obviously, one State
cannot designate an AQMA, a part of which is located in another State.
Interstate cooperation wi'il be necessary to resolve any conflicts.
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(5) Enclosed as an attachment to Part VI of these Guidelines are
projections of demographic and economic activity for SMSA's prepared
by the U. S. Department of Commerce, Bureau of Economic Activity
(BEA). BEA projections were made on the basis of SMSA's as they
existed as of January 7, 1972. > The Part VI attachment includes the
county composition of the SMSA's as they existed at that ttme.
Since January 7, 1972, several revisions to the composition of
SMSA's have been made, the latest in August 1972. Therefore, the
January 7, 1972, SMSA's may have slightly different boundaries than
the currently-defined SMSA's. The question arises as to which
I!
boundary should be used for AQMA designation. EPA recommends that
the January 7, 1972, SMSA's be analyzed. Those SMSA's which
are determined to be problem areas should than be designated as
AQMA's on the basis of the current (1973) SMSA composition. For
those SMSA's newly designated since 1972 and SMSA's in Puerto Rico
for which no BEA projections exist, the states should develop:their
own basis for projection based on data from various planning agencies
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(b) Factors to consider in designating AQMA's.
In deciding upon the particular boundaries of an AQMA, the
following factors should be considered.
1. The AQMA should include all of the territory which shares a
common air envelopeand a common aggregation of sources. This
will usually be an urbanized area plus some adjoining areas
which are now undeveloped but which are expected to develop in
the next 10 years or so. It may include satelite communities
which are now separated from the central urbanized area but
will, in 10-20 years, become part of the central urbanized
area and thus share the air resource.
2. Use of areas previously designated by agencies of various kinds
may have merit in that a data base may be available and a prolif-
eration of "regions" can be avoided. Examples are regional ;
planning areas; State designated planning areas; transportation
planning areas; etc.
3. Emission control and other air conservation measures necessary to
maintain air quality standards in the urbanized and developing
parts of major urban centers may be quite stringent. Applica-
tion of such stringent measures in isolated or undeveloped
areas may not be advantageous. Thus, inclusion of large rural
areas in an AQMA may not be desirable.
4. Design and implementation of air conservation measures will
involve certain governmental agencies. Common boundary lines
for AQMA's and one or some combination of jurisdictional areas
of implementing agencies may have merit from an operational point
of view.
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5. Long-range transport of pollutants is a matter of cbncern.
It is also true that if ambient air standards are maintained
near an aggregation of sources, such standards will also usually
be maintained at more distant locations. Therefore, it may not
be necessary to include those areas on the periphery of an
aggregation of sources in order to assure maintenance of standards
at locations distant from the aggregation of sources.
6. The influence of topography and geography on dispersion of
pollutants and on overall community growth patterns should be
considered.
7. When designating AQMA's, preparation of detailed air quality
projections and development of any needed abatement strategies
will need to be based on presently available land use, t;ransporta-
tion and other plans because of ti.ne constraints. It may be,
however, that new general regional development plans will be pre-
pared in the future because of air quality considerations or
other reasons. The AQMA designation would desirably be compat-
able with any such future community planning activity.
(c) Changes in Boundaries of AQMA's
The designation of the boundaries of an AQMA in March of 1974 will
not preclude changes in such boundaries at the time that more detailed air
quality analyses and abatement/maintenance plans are submitted in 1975, or
at some other time.
(d) Withdrawal of AQMA Designation
Areas designated in March or June or 1974 may be "de-designated" if
subsequent, more detailed analyses indicate that'in fact the ambient air
II-7
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''uilily standards will not be jeopardized In the coming 10 years.
Therefore, in borderline cases arising in initial abbreviated analysis,
it is appropriate to designate the area and proceed with more detailed
a; id ly so.'.
(e) Metropolitan Areas and Sparsely Urbanized Areas
The principal objective of designation of AQMA's and subsequent
development of plans to maintain ambient air quality standards is to
tm'vide a mechanism for management of general overall urban growth as
related to air -.juality, with due consideration of other aspects of
community growth. New source review procedures which involve a deter-
mination that the new source will meet emission regulations and not
cause or contribute to contravention of ambient air quality standards
will be .« part of the overall maintenance plan in urban areas. In
lightly urbanized areas and in rural areas, it is considered that
properly administered new source review procedures will be adequate
to assure maintenance of air quality standards and therefore, more com-
plex and burdensome maintenance programs will not ordinarily be needed.
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(f) Assumptions concerning fuel availability
In projecting emissions from fuel burning sources, certain assumptions
must be made concerning the future availability and use of types of fuel.
The assumptions used must be specified in the material submitted in support
of the designation. These will be considered valid if based upon current
trends and/or projected fuel use requirements. New facilities which might
change local fuel use patterns, such as refineries, nuclear power plants,
oil pipelines, coal gasification facilities, etc., but which have not already
been committed for completion by 1985, cannot be assumed to have an impact
on fuel availability in the designator, process. In addition, the current
fuel shortage cannot be assumed to continue ad infinitum. thus, resulting
in zero growth in emissions from fuel combustion.
(g) Assumptions concerning emission and air quality baselines
(1) Emission baseline--In order to estimate emissions between the
time standards are attained and 1985, it is necessary to determine
emissions at the time standards are attained. Some Sitate implemen-
tation plans (SIPs) contain these projections of emissions and these
can be used where available. If not available, these attainment date
emissions can be calculated by the method presented below, which is
based on concepts developed in the Manual for Analysis of State Imple-
mentation Plan Progress, prepared for EPA by the Research Triangle
Institute. Regulations which are currently in existence should be used
to project emissions. Regulations which are planned, but not yet pro-
mulgated, will not be accepted for such projections in the designation
process.
11-9
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(?.} Air quality base! ine--Several of the models presented below for
use in predicting air quality require the use of air quality at the
ti-Mf: uf implementation of existing regulations. As with emissions,
tno jiP's may contain projections of air quality at the time of full
SIP implementation, and these air quality values can he used. For
cases where air quality projections are not contained in the SIP, it
r^y be ass-j-ned that the NAAQS will be achieved, unless there is reason
': -je'iiev- otherwise. Alternatively, recent (1972-1973) ai r quality
dat.: r.iay otv projected to 1975 ar:d hence to 1985, making proper adjust-
,ierti. tor urowth and scheduled abatement " i ,ns .
of the nature of photochemical oxidants, there may be
-3 which experience high oxidant concentrations caused by
rss emitted from either distant man-made sources or natural
sourcj-j. Is: is reconrnendeu that these rural areas not be designated as
AQiiA's in that it would be meaningless to design a control strategy for
these an:ar> since ihey do not contain controllable sources of hydro-
f.ii^-»ons. in addition, Federal programs are planned which will eventually
recku.e hydrocarbon emissions nationwide.
A similar problem exists for areas subject to high total suspended
parti cu! die matter concentrations due to uncontrollable fugitive dust
from rvitur-a ' causes. It. is recommended that parti cul ate matter measure-
ments resulting from such fugitive dust not be the basis for projecting
ai>- quality for the purpose of AQMA designation.
(h) A^'r quality standards to be considered.
The following national ambient air quality standards should be
considered in designating areas in which standards may be exceeded:
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Pollutant _ Primary _ Secondary _ ^
Participate matter (a) 75 ug/m3. annual 150 yg'/m3* second highest
geometric mean 24-hr' average per year
(b) 260 yg/m3, second high-
est 24-hr average per
Sulfur dioxide (a) 80 ug/m3, annual arith- 1300 iig/m3, second highest
metic mean 3-hour average per year
(b) 365 pg/m3, second high-
est 24-hr average per
_ year _ . _
Carbon monoxide 10 mg/m3, second highest 0-hour average per year
Photochemical 16Q yg/m3> second highest 1-hour average per year
oxioants
Nitrogen dioxide 100 pg/m3, annual cirithmetic average
For carbon monoxide, assume that the 1-hour standard will be maintained if
i
the 8-hour standard is maintained. As in the original SIPs, a demonstration or
achieving the oxidant standard will imply that the hydrocarbon standard is also
achieved.
Although States may designate on the basis of air quality standards
more stringent than the national ambient air quality standards, EPA itself
will, should the occasion ever arise, only act to the extent necessary to
insure attainment of the national ambient air quality standards.
(i) Years for which projections must be made
Air quality standards must be maintained throughout the ten years
following submission of the detailed analysis of the AQMA's. Projections of
air quality must, therefore, be made for the year 1985 and for any other
years within the ten-year period in which it is believed that concentrations
may temporarily exceed a NAAQS.
(j) List of information which must accompany choice or rejection of AQMA's
For each SMSA within the State which is exempted from designation on
the basis of the initial criteria (presented below), the submittal must
include the reasons for the exemption. _--
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For each SMSA within the State which Is not exempted based on the
initial criteria, a projection of air quality for each pollutant not
exempted must accompany the submlttal. Such projection must include all
calculations, except where a computerized model is used. If a computerized
model is employed, the submittal must describe the model used. If the pro-
jection method is not one of the methods recommended by EPA below, the
submittal must describe the method.
A summary table of the designations and rationale similar to that
presented in Table II-l should accompany the submittal.
(k) Procedural requirements
The areas designated by the States and eventually I\y EPA will have
the force of regulation by virture of the requirement that: (a) for these
areas, a determination must be made of whether NAAQS will be maintained,
;*. .'. i " '' ';
and; (b).i a plan may have to be submitted'for maintenance of the standards.
Because of these reasons, designations must be subjected to public hearing
prior to submission to EPA by March 18, 1974. The rationale behind the
requirement of public hearing on AQMA designation is basically that the
f
decision to designate or not designate areas as AQMA's is of such Importance,
considering the economic and developmental Implications of such decisions,
that the widest public participation in such decisions should be allowed.
In holding such hearings, the States should consider the rationale upon
which decisions were made to include or exclude all SMSA's, or parts thereof,
within their boundaries, J
The regulations concerning public hearing and submission of plan (40
i : * ' ; .
CFR 51, Sections 51.4 and 51.5) are applicable with regard to submission
of the designated area.
II- 12
-------
Table II-l
Summary of AQMA Designations for State of
ftrea*
Reason not
Designated**
Reason
Designated**
Designation for
TS>
so2
CO
Ox
NU2
* Must Include at least all SMSA's within the State
**Reasons would be either "Initial Criteria" or "Actual Projection"
H-13
-------
III. Initial Designation Criteria
The criteria Immediately below were developed to enable the States
to eliminate obvious non-ppoblem areas and Include obvious problem areas
without performing an analysis of projected air quality. Any SMSA which
is not eliminated, or automatically included as an AQMA under these
criteria, is expected to undergo the analysis described in section IV of
this document to determine the 1985 emissions. After application of these
initial criteria, any SMSA which is not automatically excluded or included
is expected to undergo a projection of 1985 emissions and air quality by
techniques such as those presented 1n section IV and V of this guideline.
Bear in mind that in case of a conflict between inclusion and exclusion
criteria, inclusion criteria take prededence.
The technical derivation of these criteria 1s presented as Appendix
A. Elimination of obvious non-problem areas.
SMSA's which meet the following criteria may be automatically
excluded from consideration as an AQMA for the particular pollutant;
supporting information must substantiate this exclusion:
1. Particulate matter:
(a) SMSA's which are located in AQCR's where data for the
past two years Indicates the AQCR is below all NAAQS.
2. Sulfur dioxide:
(a) SMSA's which are located in AQCR's where data for the
past two years Indicated that the AQCR is below all NAAQS
and, the product of (i) the air quality concentration 1n the
base year and (11) the relative growth 1n SMSA total earnings
-------
between the base year and 1985, 1s less than the national
ambient air quality standards.
3. Car-lion monoxide:
(a) SMSA's whose air quality is less than 25 p.p.m.,
maximum 8-hour average during the past two years.
4. Photochemical oxidants: SMSA's
(a) which have no transportation control strategy for
photochemical oxidants, and
(b) which are located in AQCR's with a maximum 1-hour
oxidant concentration of less than 320 ug/m during the past
two years.
5. iNitrcgen dioxide:
(a) SMSA's not designated by the inclusion criteria in
Part III B5 are excluded.
3. Inclusion of obvious problem areas
Areas which meet any one of the following criteria should be
designated, in whole or at least in part, as an AQMA for the particular
pollutant.
1. Particulate matter:
(a) Areas within AQCR's which are not projected to attain the
NAAQS for particulate matter by 1985.
2. Sulfur dioxide:
(a) Areas within AQCR's which are not projected to attain
the NAAQS for sulfur dioxide by 1985.
3. Carbon monoxide:
No automatic inclusion criteria.
4. Photochemical oxidants:
(a) Any areas for which a transportation control strategy
for photochemical oxidants is required (Table III-l).
III-2
-------
5. Nitrogen dioxide:
(a) The appropriate parts of those SMSA's whose central
cities are Los Angeles, Chicago, New York, Denver, and
Salt Lake City.
III-3
-------
TABLE III-l
AQCR's in Which Transportation Control Strategies are Required
State
AQCR
Required for
CO Ox
J5.,',d
;i« ihrllilcl
Arizona
California
"-.lorado
[fistrict of
Columbia
illinois
Indiana
i ouisiana
''id ry land
. Massachusetts
1 -nnesota
Hissouri
New Jersey
I'PW York
"tavada
Ohio
I'regon
ivnnsylvania
i^xas
Northern Alaska Intrastate
Mobile-Pensacola-Panama City-So. Mississippi Interstate
Metropolitan Birmingham Intrastate
Phoenix-Tucson Intrastate
San Francisco Bay Area Intrastate
Sacramento Valley Intrastate
Metropolitan Los Angeles Intrastate
San Joaquin Valley Intrastate
San Diego Intrastate
Metropolitan Denver Intrastate
National Capital Interstate
Metropolitan Chicago Interstate
Metropolitan Indianapolis Interstate '
Southern Louisiana-Southeast Texas Interstate
National Capital Interstate
Metropolitan Baltimore Intrastate
Metropolitan Boston Intrastate
Hartford-New Haven-Springfield Interstate
Minneapolis-St. Paul Interstate
Metropolitan Kansas City Interstate
New Jersey-New York-Connecticut Interstate
Metropolitan Philadelphia Interstate
New Jersey-New York-Connecticut Interstate
Genesee-Hnger Lakes Intrastate
Clark-Mohave Interstate
Metropolitan Cincinnati Interstate
Portland Interstate
Metropolitan Philadelphia Interstate
Southwest Pennsylvania Intrastate
Metropolitan San Antonio Intrastate
Metropolitan Dallas-Ft. Worth Intrastate
Austin-Waco Intrastate
X
.X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
III-4
-------
TABLE UI-MCont.) Required fpr
State AOCR CO : Ox
Texas (cont.)
Utah
Virginia
Washington
Kansas
El Paso-Las Cruces-Alamagordo Interstate
Corpus Christl- Victoria Intrastate
Metropolitan Houston-Galveston Intrastate
Southern Louisiana-Southeast Texas Interstate*
Wasatch Front Intrastate
National Capitol Interstate
Puget Sound Intrastate
Eastern Washington-Northern Idaho Interstate
Metropolitan Kansas City Interstate
X
X
X
X
X
X X
X
X
X
*Currently under study - May require only stationary source control
IH-5
-------
IV. Method of Projecting Emissions
In order to Identify those SMSA's which could become AQMA's during the
period of 1975-1985, It will be necessary to first determine 1970 emissions,
project these emissions to 1975 (or 1977 for areas granted extensions) to
account for current SIP control strategy reductions, arid then further project
emissions to 1985 using Bureau of Economic Analysis (BEA) indicators of
growth 1n populatfon and earnings for SMSA's. (BEA Indicators are presented
1n Section VI of these guidelines.) From the 1985 emissions, air quality can
then be estimated by techniques presented In Section V and compared with the
applicable standards to determine if the area being considered is, 1n fact, to
be designated as an AQMA. In many cases, 1975 emissions will already have been
estimated for the purpose of developing SIP control strategies, in the event
that 1975 emissions are given In the State's Implementation plan by county and
they are still valid, they may be used directly and no projection tq 1975 would,
of course, be necessary. For ease 1n both computation and review, emissions
can be recorded by county within each SMSA as shown in Table IV-1. A suggisted
process for projecting emissions 1s presented in the flow diagram of Flgun IV-I.
(1) PROJECTION OF 1975 EMISSIONS
Two methods for projecting 1975 emissions are presented below, a
"preferred" method and a "back-up" method. By implication, EPA expects
the "preferred" method to be used for the most part 1n each State. Only
where time does not permit or where the workload will be great (such as,
for those States which have a large number of SMSA's to1 be analyzed)
should the "back-up" method be used. Before deciding to* use the ."back-up"
method, States should discuss the problems of using the preferred" method
with the representative responsible for maintenance of standards in the
appropriate EPA Regional Office. CO, HC, and NOX emissions from transpor-
tation sources can be calculated to 1985 directly by the method presented
below in item (2).
(a) Preferred method
(i) This method is the same used in the development of the
original implementation plans, i.e., a source-by-source tabulation
-------
TABLE IV-1. Emission Projection Calculations
(A table such as this should be prepared for each pollutant)
A B C C-i D E F 3
Reduction Growth Growth Emission 1985
Source 1970 Factors Factor 1975 Rate Factor Emissions
Class Emissions (1975/1970) Emissions [(1985/1975)-!] Adjustment G = 0(1 + EF
Fuel Combustion
Power plants
Point sources (exclud pp)
Area sources
£ Subtotal
i
ro
Industrial Process
Point sources (Subtotal)
Solid Waste Disposal
Point sources
Area sources
Subtotal
Transportation
LDV
MDV
HDV
Subtotal
Miscellaneous
Point sources
Area sources
Subtotal
TOTAL
-------
Figure IV-1. Calculation of 1975 and 19B5 Emissions
Determine 1970 emissions by source category from state files,
SIP's or NEDS data bank_
. ... II I II ... I, . ...«
{Assemble county emissions data into SMSA totals for^ 1970 j
PREFERRED METHOD
i
Apply SIP control strategies to each
source to determine allowable emis-
sions In 1975
BACK-UP METHOD
Apply reduction factors in Table IV-2
to emissions from 1970 uncontrolled
power plants to obtain 1975 controlled
emissions. (Use more specific estimates
if available.)
Calculate T9/5 emissions from new
*
sower plants using capacity of planned
lew units from utility data or "Steam-
Electric PlantFactors" and apply
regulations, -
Calculate 1975 emissions from new ower
plants, using capacity of planned nits
from utility data or "Steam-Electr c
Plant Factors" andaplying regula iOQS.
For industrial process, solid waste
and misc. sources, calculate growth ih
emissions from 1970 to 1975 using BEA
economic Indicators.
apF
For industrial process, solid wast and
misc. sources determine 1975 cont ol^ec
emissions by applying reduction farters
from Table IV-2 (or local regulations)
to 1970 emissions, by source category
For industrial process, solid waste
and misc. sources, calculate growth
in emissions from 1970 to 1975 using
BEA Indicators
.Determine 1985 emissions from transportation sources using
Jformula Q19as - E(Qh;t
-------
of emissions allowed under the applicable control strategies
contained In the State's Implementation plan. Data should be
presented and submitted In a form similar to that presented 1n
Appendix D of 40 CF!} Part 51.
(ii) For projections of new steam generating power plants, it
is recommended that States contact electric utility companies
directly. If time does not permit this, use 1975 i rejections
of new capacity in the latest edition (1972) of "Si >am-El(Ctr1c
PlantFactors" published by the Natior.dl Coal Association.
(iii) After the sojrce-by-source tabulation of allowable emissions
has been computed, tabulate the allowable emissions into the
following categories and use the recommended projection parameter
to account for growth to 1975.
Recommended BJEA
Category Projec11 on Pa rameter*
Fuel combustion (excluding pp) Total earnings
Industrial processes Manufacturing earnings
Solid waste Population
Miscellaneous Total earnings
(1v) Emissions from these four categories and power plants can
be recorded in Tablu IV-1.
*EPA's recommendation that these parameters be used was based upon available
information and was not the result of a statistical analysis to determine an
accurate correlation between emissions from a particular category and an
economic or demographic parameter. Furthermore, the user of these projections
should be aware that 1t Is not known what relationship exists between an
Increase 1n an economic Indicator and an increase 1n emissions from a
particular category. Another complicating factor is the present energy
sltuation-U 1s not known what effect the current situation will have on long-
term growth.
IV-4
-------
(b) Back-up Method
The following technique 1s based on 1970 summary NEDS data,
and uses average emission reduction factors derived from analysis
of.point source emissions In six AQCR's (S>.. Louis* Denver,
Washington, O.C., Seattle, Indianapolis, arid Boston). These factors
represent reductions 1n emissions resulting from Imposition of
typical regulations under the SIP process. Power plant emissions
are calculated separately from other sources because of the
importance of their emission and because different emissicn
reduction ratios must be applied to them pLs the fact that projec tlons
.«
of new power plants are readily-available. Obviously, SIP emission
limitations varv widely and thus the factors may over- or under-
estimate results In some cases. In the 1nt3rest of alleviating a
time-consuming burden, however, EPA offers this technique as a sub-
stitute for a detailed source-by-source and detailed category analysis
only In those States where time does not permit use of the "preferred"
method.
BACK-UP METHOD
STEP A - Determine 1970 Emissions
Using emissions summaries for each county 1n the AQMA, from States files,
SIP emissions summaries, or NEDS data bank, obtain and record 1970 emissions for
each pollutant by point and area source category; I.e., fuel combustion, industrial
processes, solid waste, transportation, and miscellaneous. Show emissions for
power plants separate from other fuel combustion sources. Emissions can be
.recorded in this manner as shown on Table IV-1, "Emission Projection Calculations."
STEP B - Determine 1975 Power Plant Emissions
Calculate power plant emissions from existing and new plants using data
from "Steam-Electric Plant Factors" published yearly by the National Coal Association,
IV-5
-------
1. Power plants existing 1n 1970
a. Multiply 1970 SIP emissions by the emission reduction factors
in Table IV-2 (or more specific factors,'If available) to get
1975 controlled emissions. This reduction applies only to those
plants wnich were not controlled to SIP regulations 1n 1970. For
power plants which were under control in 1970, extend 1970 emissions
unchanged to 1985.
2. New power plants
It is preferable If the State contact electric utility companies
directly to obtain projections of new power plants If time does not
permit this, use 1975 projections of new capacity 1n the latest edition
(1972) of "Steam-Electric Plant Factors". Calculate emissions in 1975
for additional capacity over 1970 using appropriate factors for losses
allowed by Federal New Source Performance Standards, or SIP regulations
in the event the SIP regulations either take effect earlier or are more
stringent than the NSPS.
STEP C - Determining 1975 Emissions (excluding growth) from Sources Other Than
Power Plants and Transportation Sources
Determine allowable emissions 1n 1975 for point and area sources (other
than power plants and transportation sources) by source category using the
emission reduction factors given 1n Table IV-2. If a State feels that its own
regulations or those of a local agency within its boundaries would result in
values significantly different from those produced by use of the factors 1n
Table IV-2, then the State should use Its own regulations or those of the
appropriate local agency in determining 1975 emissions. Such regulations
should be documented. Since this estimate does not account for growth between
1970 and 1975, the results of using Table IV-2 must be modified by the projected
growth 1n emissions for each source category.
IV-6
-------
TABLE IV-2
EMISSION REDUCTION FACTORS9
(Ratio of 1975 allowable emissions to 1970 emissions)
Source Category
Fuel combustion
Point sources less power generation
Area sources
Power generation sources
Industrial processes
Solid Waste
Point sources
Area sources
Transportation
Miscellaneous
Point sources
Area sources
Parti cul ate
Matter
0.44
0.48
0.50
0.43
0.29
0.28
1.0
1.0
1.0
S0x
0.43
0.57
0.43
0.37
1.0
0.82
1.0
1.0
1.0
HG
i.q
I'.O
1.0
0.47
1.0
0.88
*
0.48
1.0
CO
1.0
1.0
1.0
o.io
.52
0.88
*
1.0
1.0
NOX
1.0
1.0
1.0
1.0
1.0
1.0
*
1.0
.1.0
Calculated by different method - see text
a. These emission reduction factors for 1975 as compared to 1970 are based
on a composite of expected and existing conditions and emission control
regulations in St. Louis, Denver, Washington, D.C., Seattle, Indianapolis
and Boston.
All agencies should develop such factors for conditions in each area
under consideration whenever possible. The factors above should only be
used when such specific factors cannot be prepared.
IV-7
-------
STEP n - Projected Growth Rates from 1970 to 1975
To obtain 1975 emissions for all sources except power plants, multiply
emissions determined in Step C above by growth factors obtained from avail-
able data or 8EA projections, (see footnote, p. IVj-4) determined as follows:**
1. For fuel combustion sources, except power plants (where the method
of calculating growth has been previously explained), 1t is sugge: ted
that the growth rate be based on the percent Increase 1n total earnings
from 1970 to 1975 for the particular SMSA.
2. For industrial processes, the growth rate can be based on the
percent increase in manufacturing earnings.
3. For solid waste emissions, the growth factor can be based on
the percent increase in population for 1970 to 1975.
4. For miscellaneous emissions, the growth factor can be based on the
increase in total earnings as was suggested for the category of fuel
combustion sources.
5. For particulate matter and SOx emissions from transportation, the
growth factor can be based on the Increase 1n population.
These growth factors can be Inserted 1n Column C-l.
*
(*2) PROJECTION OF 1985 EMISSIONS
For transportation sources, the following formula may be used to compute/-
1985 emissions using 1972 baseline data for N02 and 1970 baseline data for all
other pollutants (it is not necessary to make a calculation to determine the
level of 1975 emissions for transportation sources): ,
**CO, HC, and NOx emissions from transportation sources can be calculated to
1985 directly by the method presented below in Item (2)
IV-8
-------
-I - «>base> G1E1
1=1 1
where Qjg85 " Projected 1985 emissions
(Q. ) » Baseline emission from source category 1.
GJ = Growth factor for source category 1.
E. = Emission factor ratio for source category 1.
Project 1985 emissions from 1975 emissions for all source ca:egor1es
other than transportation using the formula: *
Ff = C1 (1 + D^)
(2\
Where: F = 1985 emissions from source category 1 '
C = 1975 emissions from source category 1
D = growth rate of emissions between 1975 and 1985 for
source category 1
E = emission factor adjustment for source
category 1 (applied only to Industrial process sources-
for all other categories E^ * 1)
Growth rates (D In formula 2) for emissions between 1975 and 1985 are the
same as those used to project 1975 emissions (see footnote, pJ^D* That Is,
the percent Increase 1n total earnings projected for 1975-1985 may be used to
project emissions from fuel combustion; the
, percent Increase 1n manufacturing earnings may be used for Industrial processes;
the percent Increase 1n population may be used for solid waste emissions and
partlculate matter and SOx emissions from transportation; and the percent Increase
In total earnings may be used for the miscellaneous category. For power plants,
1t Is again recommended that the State contact electric utility companies
*This formula.would not be used for power plants If actual existing and
projected emissions are available. y
IV-9
-------
directly. If time does not permit this, the percent Increase In total
earnings projected for 1975-1985 may be used to project 1985 power plant
emissions since It appears to be most closely related to the Increased
demand for eloctric power. Add these power plant .emissions to the
emissions extended unchanged from 1970 to get total 1985 emissions from
power plants.
An adjustment will be needed to account for control between 1975 and
1985 of new Industrial process sources because of forthcoming new source
performance standards. Generally, these standards will be more stringent
than limitations presently contained 1n the SIPs. TV adjustment needed to
account for future new source performance standards would be the rctio of
the estimated percent allowable emissions under the future new source
performance standards to the percent allowable emissions under the current
SIP control strategy. These ratios, of course, vary widely among industrial
categories. Furthermore, EPA has only a rough Idea of what the standards will
eventually be. It is suggested, therefore, that a composite adjustment
factor of 0.40 be used as the "E" value in Equation 2 for industrial process
sources for each pollutant. Bear in mind that this "E" value applies only
to industrial process sources. For other source categories, use E=l.
*
Note: Examples of the method of projecting 1985 emission and air quality, using
the "back-up" method of projecting 1975 emissions, 1s enclosed 1n
Appendix B of these guidelines.
IV-10
-------
V. Instructions for Modeling Air Quality Concentrations
1. Introduction
This portion of the guideline presents Information concerning models
recommended for use in predicting 1985 air quality, once 1985 emissions
have been calculated. After this air quality prediction is made, the
designation of AQMA's can be made, i.e., those areas which are predicted
to exceed the standard can be selected.
This portion of the guideline is divided into four parts:
.1. Introduction
2. Analytical Techniques for CO Concentrations
3. Analytical Techniques for Relating Oxidant Concentrations
to Hydrocarbon Emission
4. Analytical Techniques for Relating Projected Emissions
of other Pollutants to Air Quality
2. Analytical Techniques for CO
Once carbon monoxide emissions have been projected to 1985, using
techniques found 1n Part IV of these Guidelines, "Methods of projecting
emissions," air quality'concentrations for CO can be determined using
the following techniques,
High CO concentrations are observed primarily near areas of high
traffic density. "Rollback" models for CO have been criticized for giving
undue weight to stationary source CO emission and to vehicle emission growth
in the suburbs as compared to vehicle emission growth on streets in the fully
developed parts of urban areas where most existing air sampling sites are
located. The following model mitigates these problems by giving the most
weight (80%) to local traffic near the air sampling station and relatively
less weight (20%) to total regional emission.
-------
ine moaei uivices ODservea uu concentration into two parts:
that due to local t:affic, and that due to the entire urbanized area.
Changes in emissions from each of these components are projected and
1985 concentration is predicted using modified rollback techniques. The
model equations are:
F = F + F + b (1)
FL
0.8(B -b)"
0.2(B -b;
p r* c 4. p G* F
TI « C., T r,, Uit til
L L L n n n
P G E + P G EM
+ PS Gs Es
100%
v '
where
FT = Total future (1985) CO concentration (PPM)
F. = Future concentration due to local traffic
F.. = Future concentration due to urban emission
b * Background concentration
B = Baseline concentration (measured or estimated)
PL = Percent emission from light duty vehicles (gross vehicle
weight '< 6000 Ib)
* -
PH = percent emission from other mobile sources (qross vehicle
weight > 6000 Ib) '
Pg = Percent emission from stationary sources
G = Growth factor over the projection period, G* t G
E = Expected ratio of 1985 emission to baseline emission
for a composite source. (Obtained from Table V-l)
G* = Growth factor for traffic on the local street near
critical air sampling stations.
V-2
-------
Equations 1, 2, and 3 may be used to estimate 1985 CO concentrations
in those areas which cannot be eliminated by using the initial designation
criteria. The information needed to apply the equations is:
a. Baseline air quality (B)-second worst 8-hour average, during most
recent year at a site where the public has access for at least 8
hours.
b. Background CO concentration (b)-use 1 p.p.m. if data to the
contrary is unavailable.
c. Percentage contribution of light and heavy duty vehicles and
stationary sources to the baseline year emission inventory (Same
year as air quality data). This information should be computed
from the latest emission inventory available locally. If local
data is unavailable, the NEDS data file contains emission data by
county which may be used. [Note: Trucks and other heavy duty vehicles
may contribute a greater proportion of emissions in the area where the
critical air sampling station is located. If so, and if the informa-
tion is available, the appropriate P^ and PH should be used in
Equation (2). Otherwise, the same P, and PH should be used in
Equations (2) and (3)]. If the data is not delineated by types of
mobile source, assume that the ratio of P|_/PH = 8.0.
d. Growth rates from past trends for the source categories. Ideally, the
growth rates should be based on a direct indicator of emission poten-
tial such as vehicle miles, material processed, kilowatts generated,
etc. It may be necessary to use an indirect indicator such as the
BEA projections of population and economic activity. Growth in popu-
lation is recommended as a logical choice of estimator of mobile
source emissions.
e. Emission factor ratios. Nationwide emission factor ratios for motor
vehicles are presented in Table V-l. If local mobile source emission
factors are expected to differ>from the national be virtue of trans-
portation controls, unusual vehicle life
-------
TABLE V-l
EMISSION FACTOR RATIOS*
Year HDV & MDV LDV
1970**
1975
1977
1980
1985
1990
1970**
1975
1977
1980
1985
1990
Carbon ITK noxide
1.00
.83
.76
.66
.53
.53
Hydrocarbons
1.00
.77
.68
.40
.40
.40
1.00
.59
.45
.29
.08
.08
1.00
.50
.39
.25
.07
.07
*Ratio of emissions in qiven year to base year (base year is 1970 for
CO and HC)
**For data bases other than 1970 (such as 1971, 1972, 1973) for CO and
HC, interpolate between 1970 and 1975 values.
V-4
-------
expectancy or other reasons, local emission factor ratios
may be used. The procedure for calculating composite vehicle
emission factors 1s presented in EPA-450/2-73-003 Kircher and
Armstrong "An Interim Report on Motor Vehicle Emission Estima-
tion"^
The emission factor ratio for stationary sources will
depend on the particular source mix in the area and on state
regulations for stationary source CO emission. If such informa-
tion is unavailable, then iy"> following emission factor ratios
may be used:
CO Emission Factor
Source Ratio 1970-1985
Power plants 1.0
Industry 0.5
Area sources (stationary) 1.0
The overall stationary source emission factor ratio is calcu-
lated from
E . - PPP EPP * PI EI * PA EA
composite r>TTSTTJ
PPP + HS + KA
3. Relating Oxidant Concentration to Hydrocarbon Emission
Appendix J to 40 CFR Part 51 "Requirements for Preparation, Adoption, and
Submittal of Implementation Plans" (published in the August 14, 1971, and
republished November 25, 1971, Federal Register) presents an estimate of the
hydrocarbon emission reduction needed to obtain the NAAQS for photochemical
oxidant. This estimate is based on an "envelope curve" which encloses data
points for non-methane hydrocarbon and oxidant concentrations in several cities.
V-5
-------
There is evidence to suggest that
MC/NOx ratios should decrease due to emission control regulations in force
and expected. This should result in somewhat more oxidant reduction,
although the amount of additional reduction cannot be quantified at present.
Therefore, Appendix J must be considered a conservative estimate in that it
require more HC reduction than needed, but probably does not require less.
Appendix J should be used as follows:
1. Project 1985 HC emissions as shown in Steps A-D of Section IV.
2. Determine the expected emission change by
Rexpected = " ]985 * 100%
"base
3. Determine the required percentage hydrocarbon emission reduction
using Aopendix J and the highest observed 1-hour oxidant concen-
tration during the baseline year.
4. If R required from step 3 is greater than R expected from
step 2, the area should be designated an AQMA for oxidant. This
will be especially true if RexDected is a ne9at"ive number.
V-6
-------
4. AimlvlicaT Teciinujues Cur Poll u !..«*» i.s Giner than oxidants and 'Jj--He!uting
Projected Emission to Air Quality
a. Proportional roll forward model
Present air quality may be projected to 1985 for pollutants
other than oxidants and CO (i.e., air quality may be projected for TSP, S0?,
and NO ) using the proportional roll forward model as shown in the
i
following formula.
C1985 ' b + (
Where: £-1905 = projected concentration
b = background concentration
C. = baseline concentration
Q-J985 = projected emission
Qbase = baseline emission
While the proportional roll forward technique is a potential means for
selecting which counties or SMSA's to designate as AQMA's, it has several
-------
1. DC not require prcvic'jc air quality observations,
2. take some explicit account, at least in a rough sense,
of meteorological differences.
Where the above conditions apply with particular force, it may be
appropriate to use the Miller-Holzworth model described in the next
section.
b. Miller-Holzworth Model
The Miller-Holzworth Model can be uscJ only for the calculation
of annual averages of suspended particulate matter and sulfur dioxide.
The Miller-Holzworth Model 1-3 for area sources assumes concentrations
to be a function of emission density, wind speed, atmospheric mixing
depth and city size. The model implicitly assumes that the atmosphere
is slightly unstable (between Turner Stability Classes C and D6)
Stability assumptions cannot be varied. The model, as formulated
below, estimates the city-wide average concentration for the sampling time
of interest. The relationship among average city-wide concentration,
emission density, city size, wind speed and mixing depth is
.011Q
where x = average city-wide concentration, vg
Q = emission density, t/y-mi2
H = mixing depth, m
S « alonq-wind distance of the city (miles). When this is not known
assume S = yarea". The "area" is the urbanized portion
of the city.
u = wind speed, m/sec
In cities in which ISCO'S/u < .471 H1'13, mixing depth is' unimportant
and £ becomes 7= .044 Q (1600 S/u)'115 (2)
V-8
-------
The procedure one would use 1n applying the node! would depend on
whether air quality data were available, and the pollutant and sampling
time being analyzed.
(1) If no air quality data are available
(a.) Use emission density estimates obtained from
the use of Part IV of these Guidelines, "Methods
2
of Projecting Emissions" (tons/y-mi )
(b) For annual standards such as the NAAQS for
nitrogen dioxide, refer to Figs. 1 and 11, in refer-
ence 3 showing the mean annual morning mixing
depths and wind speeds for the United States.
Select the values of "H" and "u" which are
appropriate for the area of the country being
analyzed. Use these in Eq. (1) or Eq. (2).
(c) For short term (1-hr.24-hr.) standards refer.
to F1gs. 2 and 12, in reference 3, showing mean v.inter
morning mixing depths and, wind speeds. Use the
Indicated values in Eq. (1) or Eq. (2).
(2) If Air Quality Data are Available
(a) Take emission projections obtained from the use of
Part IV of these Guidelines, "Methods of Projecting
Emissions."
(b) Subtract present emission density from projected
emission density.
(c) Apply the Miller-Holzworth Model as described above,
except use the difference between projected and
present emission densities in Equation (1) or (2) to
obtain
Y-9
-------
80° s . , .
(la)
or A 7= .011 AQ (1600 S/u)'115 (2a)
(d) Add A x" to the observed air quality levels.
( 3 ) Usc> _of _A. CaJ 1 Crated Mi ller-Holzv.-orth Model
Wherever possible, it would be preferable to use a
version of the model which har b ?n calibrated with
observed data. Figure 1 in Appendix A of the
40 CFR Part 51 is such a version which has been
calibrated for annual TSP and SO? concentrations in
cases where mixing depth is unimportant. Such cases
would occur when
1600 S/u < .471 H1'13
In many cases, mixing depth remains relatively unimportant
for pollutant travel times greater than .471 H ' . Thus,
if the annual concentration of TSP or S02 concentrations
is of interest, Fig. 1 in Appendix A of 40 CFR Part 51
should be used instead of Eqs. (1), (la), (2) or (2a).
C. Estimation of Short Term Concentrations for SO- and Particulates
It is necessary that the short term standards for S02 and TSP be
maintained as well as the annual standards. Two methods may be employed
to estimate compliance with short term standards: roll forward and the log-
normal relationship.
1. Roll forward
The proportional model given in section 4(a) may be applied
directly to short term concentration. The second highest 24-hr or
V-10
-------
3 hr concentration* observed 1n the AQMA is entered as
C. and the calculated C^ggg is compared with the appro- '
priate short term standard.
2. Log-Normal model is an empirical relationship developed by
Dr. Larsen of EPA. The model allows the estimation of short-term
maximum concentration given the annual average and a char- ;
acteristic parameter of the concentration distribution called
the Geometric Standard Deviation (GSD). Table 14 of R.I. Larsen's
"A Mathematical Model for Relating Air Quality Measurements to
Air Quality Standards," AP-89, is reproduced below. Using this
table, the peak concentration may be calculated from the annual
average provided the GSD is known. The GSD is routinely calculated
for air quality data in the SAROAD data bank.
4. Comparison of projected air quality with NAAQS. After air quality concen-
trations have been projected to 1985, a comparison to the NAAQS presented on
p. II-7 can be made. If the projected air quality of an area exceeds a NAAQS,
the area should be designated an AQMA for that pollutant; conversely, if the
projected air quality does not exceed a NAAQS, the area does not have to be
designated as an AQMA for that pollutant.
NOTE: Examples of the method of projecting 1985 emissions and air quality
using the "back-up" method of projecting 1975 emissions, is enclosed
in Appendix B ;of these guidelines.
*Short term standards are not to be exceeded more than once per year.
Thus, ft is the second highest value that must meet NAAQS.
-------
Table 14. RATIO OF EXPECTED ANNUAL MAXIMUM POLLUTANT CONCENTRATION TO
ARITHMETIC MEAN CONCENTRATION FOR VARIOUS AVERAGING TIMES
AND STANDARD GEOMETRIC DEVIATIONS
~~" '
1 WC
'.00
1.07
1.14
1.21
1.29
1.36
?.44
1.51
1.59
1.67
1.75
1.83
1.31
1.99
2.08
2.16
2.25
2.34
2.42
2.51
2.60
2.69
2.78
2.87
2.97
3.06
3.15
3^25
3.34
3.44
3.54
Standard ggometric deviation for
averaging times of:
6 min
1.00
1.0C
-,.11
1.1V
1.23
!.29
1 Krhh.
1 .00
I.Ob
1.10
1.15
1.20
1.35
i.3'J I.JO
1 .40 |1 .3L.
1.46 1.40
1...2
1 58
1.64
1.4C
-.r,c
1.00
1.05
1.09
1.14
1.19
1.23
1.28
8hr
1,00
1.04
1.09
1.13
1.17
1.22
,26
1 3? 1.30
..37 1.34
1.42
1.40
I.BS 1.51
1.70 1.60J1S!-;
1.76
1.82
1.88
1.94
2.00
2.00
U.b
;.70
i./5
1.80
1.60
1 ;2.5b
2.80
2.85
2.90
2.95
3.00
3.05
3.10
3.15
3.20
2.63
2.67
2.71
2.76
2.80
2.84
2.89
2.93
2.98
2.35
2.39
2.43
2.47
2.51
2.55
259
2.62
2.66
2.70
2.74
2.78
1 day
1.00
1.04
1.08
1.12
1.16
1.20
1.24
1.27
1.31
1.35
1.3«
1.42
1.46
1 50
1.553
1.57
4 days
1.00
1.04
1.07
1.10
1.14
1.17
1.20
1.24
1.27
1.30
1.33
1.36
1.39
1.42
1.45
1.48
1.61 1.51
1.64
1.68
1.71
1.75
1 78
1.82
1.85
1.89
1.92
1.96
1.99
2.03
2.06
2.09
2.13
2.16
2.19
2.23
2.26
2.29
2.33
2.36
2.39
2.42
2.46
2.49
2.52
2.55
1.54
1.57
1.60
1.63
1.66
1.69
1.72
1.74
1.77
1.80
1.83
1.85
1.88
1.91
1.93
1.96
1.99
2.01
2.04
2.07
2.09
2.12
2.14
2.17
2.20
2.22
2.25
2.27
1 mo
1.00
1.03
1.05
1.08
1.10
.12
.15
.17
.19
.21
.24
.26
1.28
1.30
1.32
1.34
1.36
1.38
1.40
1.42
1 44
1.46
1.47
1.49
1.51
1.53
1.55
1.56
t.58
1.60
162
1.63
1.65
1.67
1.68
1.70
1.71
1.73
1.75
1.76
1.78
1.79
1.81
1.82
1.84
Ratio of annual maximum concentration to mean
concentration for averaging time* of:
1tec
1.00
1.44
2.04
2.83
3.86
5.18
6.8b
8.94
11.53
14.69
18.53
23.14
28.65
35.16
42.83
51.78
62.18
74.18
87.96
103.70
121.61
141.88
164.73
190.39
219.09
251.07
286.61
325.94
369.37
417.15
469.60
527.00
539.67
657.92
732.07
812.47
899.45
993.34
1094.51
1203.31
1320.11
1445.27
1579.16
1722.17
1874.68
5 min
1.00
1.27
1.59
1.97
2.42
2.93
3.51
4.18
4.93
5.77
6.71
7.76
8.92
1hr
.00
20
.43
.69
.97
2.28
2.63
3.00
341
;'..W
'. 17
4.82
5.37
10.19 5.95
11.58 6.56
13.1 'i 7.21
14.76
16.56
7.90
8.62
18.50 9.39
20.b9 10.19
j
22.83 11.03
25.24
27.81
30.55
33.47
36.56
39.84
43.31
46.97
50.82
54.83
59.14
63.60
68.28
73.17
11.91
12.83
13.78
14.78
15.81
16.89
18.00
19.15
20.34
21.57
3hr
1.00
1.17
1.37
1.57
1.80
2.05
2.31
2.60
8hr
.00
.15
31
48
66
1 86
206
2.28
2.9G 2.51
3.22 2.75
3.56
3.92
4.JO
4.70
5.12
5.5b
6.01
6.49
6.98
7.49
£.03
8.58
9 1F
9.74
10.34
10.97
11.61
12.27
12.94
13.64
14.35
22.84 15.07
24.14
25.49
26.87
1
78.28
83.61
89.16
94.94
100.94
107.17
113.64
120.34
127.28
134.46
28.29
29.75
31.24
32.78
34.35
35.95
3760
39.28
40.99
42.74
15.82
16.58
17.35
18.14
18.95
19.77
20.60
21.45
22.32
23.20
24.09
25.00
25.92
3.00
3.26
3.53
3.81
4.10
4.40
4.71
5.03
536
570
6.04
6.40
6.76
7.14
7.52
7.91
8.30
8.71
9.12
9.54
9.97
10.40
10.84
11.28
1 1 .74
12.20
12.66
13.13
13.61
14.09
14.58
15.07
15.57
16.07
16.57
1day
1 00-
1.12
1.25
1.38
1.52
1.67
1.82
1.98
2.14
2.31
2.48
2,65
2.84
3.02
3.21
3.40
3.60
3.80
4.00
4.21
4.42
4.64
4.85
5.07
5.29
552
5.75
5:98
6.21
6.44
6.68
6.92
7.16
7.40
7.64
7.89
8.13
8.38
8.63
8.88
9.13
9.38
9.64
9.89
10.15
4 days
.00
.09
.18
.27
.36
1.46
1.56
1.65
1.75
1.85
1.95
2.05
2.15
2.26
2.36
2.46
2.57
2.67
2./7
2.U8
2.U8
3.09
3.19
3.30
3.40
3.'J1
3.C.1
3.72
3.82
3.93
4.03
4.13
4.24
4.34
4.44
4.55
4.65
4.76
4.86
4.96
5.06
5.16
5.26
5.36
5.46
1 mo
1.00
1.04
1.08
1.12
1.16
1.20
1.24
1.28
1.31
1.35
1.38
1.42
1.45
1.48
1.52
1.55
1.58
1.61
1.64
1.67
1.70
1.73
1.75
1.78
1.81
1.83
1.86
1.88
1.91
1.93
1.96
1.98
2.00
2.03
2.05
2.07
2.09
2.11
2.13
2.16
2.18
2.20
2.22
2.24
2.25
46
MODEL RELATING AIR QUALITY MEASUREMENTS TO STANDARDS
V-12
-------
Table 14(Continued). RATIO OF EXPECTED ANNUAL MAXIMUM POLLUTANT CONCENTRATION TO
ARITHMETIC MEAN CONCENTRATION FOR VARIOUS AVERAGING TIMES
AND STANDARD GEOMETRIC DEVIATIONS
Standard geometric deviation for
averaging times of:
Isec
5.08
5.19
5.30
5.41
5.52
5.63
5.74
5.85
5.96
6.08
6.19
6.30
6.42
6.53
6.65
5 min
3.78
3.85
3.91
3.98
4.05
4.11
4.18
4.24
4.31
4.38
4.44
4.51
4.58
4.65
4.71
1 hr
3.25
3.30
3.35
3.40
3.45
3.50
3.55
3.60
3.65
3.70
3.75
3.80
3.85
3.90
3.95
3hr
3.02
3.06
3.11
3.15
3.19
3.24
3.28
3.32
3.37
3.41
3.45
3.50
3.54
3.58
3.63
8hr
2.81
2.85
2.89
2.93
2.97
3.00
3.04
3.08
3.12
3.15
3.19
3.23
3.27
3.30
3.34
Iday
2.69
2.62
2.65
2.68
2.71
2.75
2.78
2.81
2.84
2.87
2.90
2.93
2.96
3.00
3.03
4dayt
2.30
2.32
2.35
2.37
2.39
2.42
2.44
2.47
2.49
2.52
2.54
.2.56
2.59
2.61
2.63
1 mo
1.85
1.87
1.88
1.90
1.91
.93
.94
.95
.97
.98
2.00
2.01
2.02
2.04
2.05
Ratio of annual maximum concentration to mean
concentration for averaging time* of:
1sec
2037.07
2209.73
2393.06
2587.45
2793.31
3011.02
3241.01
3483.66
3739.39
4008.61
4291.72
4589.13
4901.25
5228.49
5571.26
5 min
141.87
149.53
157.43
165.58
173.97
182.61
191.50
200.63
210.02
??«>.65
229.54
7.19.67
250.06
260.70
271.59
Ihr
44.53
46.35
48.20
50.09
52.01
53.96
55.95
57.97
60.02
62.11
64.22
66.37
68.55
/0.75
72.99
3hr
26.85
27.79
28.75
29.72
30.71
31.70
32.71
33.72
34.75
35.79
36.84
27.90
3897
40.05
41.14
8hr
17.09
17.60
18.12
18.65
19.17
19.71
20.24
20.78
21.32
21.87
22.42
22.97
23.53
24.09
24.65
Idey
10.40
10:66
10.92
11.18
11.44
VI .70
11.96
12.22
12.48
12.74
13.00
13.26
13.53
13.79
14.05
4 days
5.56
5.66
5.76
5.86
5.96
6.05
6.15
6.25
6.34
6.44
6.53
6.63
6.72
6.82
6.91
1 mo
2.27
2.29
2.31
2.33
2.35
2.36
2.38
2.40
2.41
2.43
2.45
2.46,
2.48
2.49
2.51
Averaging-Time Analyses
47
V-13
-------
References
1. Miller, M.C. and Holzworth, G.C.; "An Atmospheric Diffusion Model
for Metropolitan Areas"; JAPCA 17 pp. 46-50; (1967)
2. Federal Register 36 No. 158, August 14, 1971; Part 420--"Requirements
for Preparation, Adoption and Subnrittal of Implementation Plans";
Appendix A pp. 15494-15495.
3. Holzworth, 8.C.; "Mixing Heights, Wind Speeds, and Potential for
Urban Air Pollution Throughout the Contiguous United States";
GAP Publication AP-101 (January 1972).
4. Kircher, D.S. and Armstrong, D.P., "An Interim Report on Motor
Vehicle Emission Estimation," EPA-450/2-73-003, October 1973.
5. Turner, D. B., "Workbook of Atmospheric Dispersion Estimates."
999-AP-26 (1969).
V-14
-------
VI. Projections of Demographic and Economic Indicators by SMSA
Enclosed in this section are the following:
1. Projections of demographic and economic indicators by SMSA.
Each State will receive only the date pertinent to its State.
These projections were taken directly from Population and Economic
Activity in the United States and Standard Metropolitan Statistical
Areas - Historical and Projected - 1950 - 2020, prepared by the
U. S. Department of Commerce, Bureau of Economic Analysis (BEA) in
July 1972.
2. A portion of the introduction to the BEA projections cited above,
outlining the assumptions made in the development ofl the projections,
3. A list of States and the name of the SMSA's located in each State.
This list is of the SMSA's as of January 7, 1972, npit the most
current list.
4. A list of the SMSA's and the counties which are contained within
each SMSA. Again, these are the SMSA's of January 7, 1972.
-------
INTRODUCTION
This report presents projections of economic activity and population for
each of the Nation's 253 standard metropolitan statistical areas (SMSA's). _!_/
Although SMSA's include only 477 of the 3, 073 counties in the country,
they account currently for 70 percent of the Nation's population and 7.7 per-
cent of all personal income. Because of the increasing concentration of
population in SMSA's and the attendant problems, SMSA's are the object of
accelerating planning efforts. Economic projections for these areas are
essential for rational water quality management planning as well as for many
other uses outside of the water resources field.
#
These SMSA projections are an extension of the OBERS 2_l water re-
sources program which has produced national and regional historical and
projected measures of economic activity. The measures include total
personal income, total population, per capita income, total employment,
total earnings, earnings for each of 28 industries and indexes of production
for 4 mining and 15 manufacturing industry groups. They include historical
data for 1950, 1959, 1968 and 1970 and projected data for 1975, 1980, 1985,
1990, 2000, and 2020. Most users will not need the full array of data pre-
sented. However, the project was designed to meet the wide variety of uses
to which the projections may be put.
These projections, as with all efforts to look into the economic future,
are based upon an extension of past relationships. The methodology used
has four characteristics which distinguish the results from those of a simple
linear extension of trends at a summary level.
!_/ These include SMSA's as defined by OMB as of January 7, 1972, ex-
cluding those in Puerto Rico and with the New England SMSA's defined on a
county rather than a township basis. A list of the SMSA's and their county
composition is appended. Included as SMSA's are Burlington, Vermont and
Cheyenne, Wyoming which are not designated as SMSA's by OMB, but which
are included in this report so that for planning purposes every State has at
least one SMSA or SMSA equivalent.
j2/ The OBERS program, initiated at the request of the Water Resources
Council (WRC) is a joint undertaking of the Bureau of Economic Analysis (BEA)
of the Department of Commerce and the Economic Research Service (ERS) of
the Department of Agriculture. This program acquired the acronym of OBERS
in the mid 1960's at which time BEA was named the Office of Business
Economics (OBE) and is a combination of OBE-ERS. The widespread accept-
ance of the term has led to its continued use as a descriptive title of the pro-
jection program even though OBE has been renamed BEA.
-------
Fi '-*. the basic projections were made lor i (3 economic areao
r the entire Nation. Th^se areas were delineated by BEA using criteria
,y,.ike th.2 areas especially suitable lor economic projection and analysis.
:' "CH-.H!, li.r 'economic area projections were made within the framework
;> Joc ' idis ,i tti. overall U.S. economy. Projections of population, em-
o:;u- %<.!«_' rvade first for the Nation, then disaggregated
a :.. :iic
i .nr.i, i.hi- proioct-.ioris w«-re based on the assumption that people migrate
tr ".,-1- ,->' >"-.. -i- V.IK >pp'.r!.i.!nil.y and away from declining areas. Accordingly,
r>: o ert i. .:.-. ,-.' - r^.\ income and employment were prepared first., and pro-
jrr.t.iovy*: of .". r <;.- population derived from them.
' -i'. '. ., .. r ;J<_M -i' .:; ?i::. oi inconv-- and employment v.ere prepared for as
r..;'.v/ ji .-, 7 ;.-r-)i'-:.riii.i1' '.ndnstries in e'-;-ch of the 173 areas. Various methods
.'f:vo 'i-f.-1. t .. :-M.iXo tl.u1 projections, depending upon the individual industry's
toie in t:- .'iiv.'^'s econoir.y. However, the methods used insure that in each
c;f ; .;ie ) 7 > ,-. ;ca.; projectocl income and employment constitute an econorny
\\.ih .'.r i.n.'e t r i l!y balanced structure,, The fact that the projections were
pi -i>p i rer! i:> irrl\»st ri >! detail and thus include the effects of variations in
^rrwMi rntt-s amony individual, industries makes it possible for the projected
''.1'rYxii econrrni.". path of an area to depart substantially from past trends.
'.'in :v>:-''-.>A projections in this report have been broken out from the
e^v .'.;.::!: ;o-..-.-. ntv, u>.--f. o.ns prenared under the OBERS program. The
rm?thot;c/L'.)^i, i:..od in m-e^kir.g out the SMSA projections was to determine
for each ^roj'^..'..^':: iti-m the trend in each SMSA's share of the economic
arr-a of \vhi-"''. . : i.-; a part. This trend in share was then extended on the
basis c't : ;,'..<:( .'.-a'-.u square:; regression line. Projected percentages
were appli-.-ti t\-. t.h«' parent are." totals to obtain absolute values, with the
results sabjc-ct':--' J,u ji.icigmental review and adjustment by regional econo-
mists. T'-./.ri prorcoure builds on the large amount of analytical work done
for the. Na!. Lor. :ind .in economic .ireas and yields a. set of projections which
are :.^osi stenl wi;h ihose being used by other agencies in planning. The
prGi'.-'ciiiMi:. ^t the :.:. ('.:(.< mi c: area level have been reviewed by many State
agencies and :"iolr! (,:"f'ces o: Federal agencies. Their suggested changes
have been .-\ .-..'uatod .,nd taken into account in a revision of initial pro-
jections. The Siv'SA breakouts reflect these revisions. 3/
£/ A more complete description of the procedures employed in making
these SMSA projections is appended to this report. A detailed explanation
of the concepts and methodology used in preparing the OBERS projections
is contained in a report to be published shortly by the WRC entitled, The
1972 QBERS Projections - Economic Activity in the United States by BEA
Economic Area. Water Resources Region and Subarea, and States, Historic-
al and Projected 1929-2020.
-------
THE NATURE OF THE OBERS PROJECTIONS
The OBERS projections, as are all other projections, are conditional
."srecasts of the future. Inasmuch as it is not possible to foresee the future,
r.ovever, projections must be based on an extension of past relationships
believed to have future relevance for the measures being projected. The
choice of the past relationships to be extended and the methodology for ex-
tending them are based on assumptions, some of which are stated explicitly
and some of which are implicit in the projection methodology. The pro-
Actions represent estimates of economic activity expected to develop during
he projection period if all assumed conditions materialize. The assumptions
:.hosen represent those conditions believed to have the greatest probability of
-salization. Thus the projections'represent an attempt, imperfect though it
.nay be, to forecast the economic future with the specification of assumptions
«md methodology introducing maximum objectivity into the process and giving
the user a basis for appraising the validity of the projections. The specifi-
cation of assumptions and methodology facilitates a consideration of alterna-
tive projections based on different assumptions and provides a foundation for
the evaluation of program-oriented "what if" questions. The use of alterna-
tive projections will often be to reflect assumptions that are likely to material-
ize only if a specific program is undertaken to bring them about.
Reliability
Differing orders of reliability characterize the various elements of the
projections. These differences are caused by variations in the length of the
projection period, the size of the aggregate being projected, potentials for
product substitution, and many other factors. A general understanding on
the part of the user of the degree of reliability associated with any projection
should help avoid misinterpretation and inappropriate use. However, levels
of reliability for the projections cannot be stated in statistical terms. They
can only be evaluated qualitatively by the user with the results interpreted
in light of the uses to which the projections will be put.
Long range projections are less reliable than are those made for short
periods; projections of small aggregates are less reliable than those of large
magnitude. Thus, projections for 1980 are more reliable than those for 2020,
and the reliability associated with the projections for any given industry in an
SMSA is less than that for the same industry in the Nation as a. whole. The
reliability of the projections for a minor industry will be much less than that
for the more aggregated estimates of total production, total employment or
total income.
-------
."lothi.'r major factor in reliability of the projections arises from
1 . !,v f s in the confidence that can be attached to basic assumptions used.
.:. ;:-u options arc highly reliable characterizations of the future while
...:.; ~r»- more conjectural. A projection of the labor force at the national
I foi lr'0n, for example, will almost certainly be quite accurate because
1..!". : force for those years will be drawn almost entirely from a popula-
>.. .,'h.>sf number and age distribution are known at the present time. The
>r in.ijnr uncertainty is the proportion of the population that will desire
co entwr the labor force and this fraction exhibits substantial stability.
tJr..-over, projection of the labor force or of employment in a given sub-
national area is related not only to the current population of that area but
\!PO to interregional migration resulting from changes in employment
.r.-v-rtviriitU'o. Therefore, the future labor force of the smaller area depends
:.:. :'ictors which are less certain than those determining the size of the
"^r.ior.ul labor force.
Potential errors in the planning process growing out of errors in the
projections c.armot be eliminated, but their effects can be minimized through
the use of sensitivity analysis and by maintaining flexibility in plans in order
to accommodate deviations from the projections when they occur.
;\s -xjmptions
The projections are based on longrun or secular trends and ignore
the cyclical fluctuations which characterize the shortrun path of the economy.
Th«: general assumptions that underlie the projections arc as follows:
(1) Growth of population will be conditioned by a decline of fertility
rates from those of the 1962-1965 period.
(2) Nationally, reasonably full employment, represented by a 4 percent
unemployment rate, will prevail at the points for which projections are made;
as in the past, unemployment will be disproportionately distributed regionally,
but the disproportion will diminish.
(3) No foreign conflicts are assumed to occur at the projection dates.
(4) Continued technological progress and capital accumulation will support
a growth in private output per manhour of 3 percent annually.
(5) The new products that will appear will be accommodated within the
existing industrial classification system, and, therefore, no new industrial
classifications are provided.
(6) Growth in output can be achieved without ecological disaster or
serious deterioration, although diversion of resources for pollution control
will cause changes in t he industrial mix of output.
-------
The regional projections are based on the following additional
assumptions:
(1) Most factors that have influenced historical shifts in "export" indus-
try location will continue into the future with varying degrees of intensity.
(2) Trends toward economic area self-sufficiency in local-service indus
tries will continue.
(3) Workers will migrate to areas of economic opportunities and away
\.rom slow-growth or declining areas.
(4) Regional earnings per worker and income per capita will continue
to converge toward the national average.
(5) Regional employment/population ratios will tend to move toward the
national ratio.
-------
"VATE
B.C.* SNSA CODE AND TITLE
INDEX OF TABLES
SUVA'S LISTED ALPHABETICALLY BY STATE
PACE STATE B.E.A SMSA COOE ANO TITLE
PACE
ALABAMA
CONNECTICUT
ARIZONA
323 BIRMINGHAM, ALA.
3*3 COLUMBUS. GA.-ALA.
555 FLORENCE, ALA.
3^0 GADSOEN. ALA.
}i4 HUNTSVULE. ALA.
»2* MOBILE. ALA.
426 MONTGOMERY. AL».
501 TUSCALOOSA. ALA.
SSI ANCHORAGE. ALASKA
4So PHOENIX, ARU.
S06 TUCSON. AR12.
166 FORT SMITH. ARK..OKLA.
407 LITTLE KOCK-NOrfTM LITTLE ROCK, A«K.
41« MEMPHIS. TENN.-ARK..
4SI PINE BLUFF. ASK.
102 TEXARKANA, TEX.-ARK.
CALIFORNIA
72
lit
U*
IT*
210
2«l
30*
19*
170
262
IBB
J56
*TO
OELA*ARJ
0. C.
FLO*IDA
10B ANAHEIM-SANTA ANA.GAROEN GROVE. CALIF.
916 BAKERSFIELO. CALIF.
169 FRESNO. CALIF.
409 LOS ANGELES-LONG BEACH. CALIF.
S4J MOOESTO, CALIF.
44» OXNARO-SIMI VALLEY-VENTVWA, CALIF.
476 RIVERSIDE-SAN BERNAOINO-ONTARIO. CALIF.
46S SACRAMENTO. CALIF.
sis SALINAS.SEASIOE.MQNTEREV. CALIF.
4TT SAN OIEGO. CALIF.
«TI SAN FRANCISCO-OAKLAND, CALIF.
»7» SAN JOSE. CALIF.
4(1 SANTA BARBAHA.SANTA MARIA-LOMPOC, CALIF.
365 SANTA CRUI. CALIF.
5*6 SANTA ROSA, CALIF.
««6 STOCKTON. CALIF.
Sll VALLEJO-FA|RFI£LD-NAPA. CALIF.
176
26B
100
»»0
1*6
1«6
»0*
*20
*BB
GEORGIA
HAWAII
910 BRIDGEPORT-NOR'ALK-STANFORD. CONN.
912 MANTFORC-NEN bMITAlN, CONN,
«11 NIK HAVEN.MAT£RBURY^«ERIOEN. CONN.
911 NORNlCH.GROTON-NEH LONOON. CONN.
121 *ILM1NGTON, OEL.-N.J.JIO.
Ill WASHINGTON. O.C.-MO.-VA.
Sll DAYTONA BEACH. FLA.
US FORT LAUOeROALE-HOLLYKOOO. FLA.
IS& FORT MYERS, FLA.
1*0 GAINESVILLE. FLA.
IBB JACKSONVILLE. FLA.
SS9 LAKELANO-KINTER HAVEN. FLA.
STI NELBOURNE-TITUSVILLE-COCOA, FLA.
«20 MIAMI, FLA.
4** ORLANDO. FLA.
*4T PENSACOLA. FLA.
SB? SARASOTA, FLA.
»«9 TALLAHASSEE. FLA.
soo TAMPA.ST. PETERSBURG. FLA.
3U MIST PALM BEACH, FLA.
102 ALBANY, GA.
112 ATLANTA. GA.
11* AUGUSTA. GA..S.C.
JIT CHATTANOOGA, TENN.-GA,
Mi COLUMBUS. GA.-ALA.
61* MACON. GA.
4B2 SAVANNAH, GA.
SBl HONOLULU, HAWAII
10
202
516
I1C
166
I»B
1BO
21B
2*2
2B6
290
116
1*6
*26
»6»
466
69B
20
46
SO
102
11B
276
42B
204
COLORADO
141
ISO
4S9
COLORADO SPRINGS.
DENVER. COLO.
PUEBLO. CULO.
COLO.
112
114
172
IDAHO
12S BOISE CITY, IDAHO
76
ILLINOIS
124 BLOOMINGTON-NORNAL. ILL.
-------
STATT
B.C.* S«!.A CODE AND TITLE
INBCI OF TAbLES
LI JHO ALPHABET ICALLY BY STATE
PAGE STATE B.C.* SNSA COOt AND TITLE
PAGE
ILLINOIS CONTINUED
31J tMAMPAlCiN-URBANA, ILL. 9*
131 Ci-ICAGu, ILL. 104
1.1 O»VENPOPT.HOC« ISLAND-MOL|NE. IO«A-KL. 126
1»V CECMU". ILL. 112
*e PEC«IA. ILL. »«
»6T RC:C»fCBO. ILL. 14*
»Tl ST. LOOIS, MO.-ILL. »02
MO SrBlNC,'ItlO, ILL. »»
LOUISIANA CONTINUED
**S iHSEVEPORT. LA.
MAINE
9*0 LEWISTOrt-AUflL'RN. >fAJN£
9)9 VORTLANC.SOUTH PORTLAND. MAINE
162
INOI ANA
jos
IOMA
KANSAS
IND.
I. C«JO-<: '.-l
. INU.-»r.
INC.
MARYLAND
367 »0°T K
ill C.»m-r,/>ir-onD-t»ST CMICA50, INO.
SZ« LAFA«f tTE-.EST LAFAYETTE. INO.
»1C L3V.ISv!i.LEi IT. -IND.
*2t HUNCIE. IND.
»l! JCtlM BEND, (NO.
SOI TE»RE HAUTE. INO.
31.' CECAf) RAPIOSi 10"A
1.7 OAVENPORT.ROCK ISLANO.NOLINE, IOKA-ILL.
3>1 CES "OIKtS. 10HA
1)9 DUBUU'JE, 10"»
«>>3 OH BEDFORD. MASS.
PITTSFIELO. MASS.
SPR INGF | E LD.CH ICOPEC-HOLYOKE . MASS.
MORCeSUR.FITCHBURG-LeOMINSTEft. MASS.
ANN ARBOR, MICH.
BATTLE CREEK* MICH.
BAY CITY. MICM.
OETBOIT. "ICH.
FLINT, MICH.
GRAND RAPIDS, MICH.
JACKSON, MICH.
KALAMAIOO, MICH.
LANSlNG.EAST LANSING, MICH. .
MUSKEGOh.MU&KEGON HEIGHTS. MICH.
SAGINAx, MICH.
TOLEDO, OHIO>M|CH.
36
49*
510
7*
136
160
»»»
SI*
*0
60
42
IM
142
If*
21*
22*
2*6
30D
19*
KENTUCKY
MINNESOTA
339 CINCINNATI. OHlO-KY.-IHD.
339 EV«NiVlLLi, INU.'KY.
}J) HUNT lNuTON-AS>1LANU, H.VA..KY..OH10
kO* Lt»NG13N. KY.
*10 LOOUV1ULE. HT.-1NO.
S*3 OENSbORO. KY.
10*
IS*
20*
2S4
270
31*
13* DULUTH.SUPERJOR. MINN.-US.
361 FARbC.MOORCHEAO. N.DAK..MINN.
*2) MINNEAPOLIS-ST. PAUL, MINN.
S»S ROCHESTER. MINN.
1*2
IS*
294
190
MISSISSIPPI
LOUISIANA
SSI
31*
395
1*6
»J»
*I*.
ALEIANORIA, LA.
BATON ROUGE. LA.
LAFATEUE. LA.
LAKE CHAKLES, LA.
MONROE **
Nfk ORLEANS, LA.
26
St
214
2*0
302
316
33? BILOXI.GULFPODT, MISS.
](7 JACKSON, MISS.
MISSOURI
519 COLUMBIA, Mft., i'\ p
6*
216
II*
-------
UATE B.I.* SMSA CODE AND TITLE
INDEX or TABLES
SMSA>S umo ALPHABETICALLY er STATE
PAGE »T*TC B.E.A SMSA CODE AND TITLE
PAGE
MISSOURI CONTINUED
192 KANSAS CITY, MO.'HANS.
4TO ST. JOSEPH. HO.
4M ST. LOUIS. MO.-ILL.
491 SPRINGFIELD. HO.
NEW TOR*
22*
400
«02
*»0
444
»»T
no
CONTINUED
POUGHKEEPSlEi N.Y
ROCHESTER. N.T.
SYRACUSE. N.V.
UTICA.ROME, N.Y.
366
392
460
4*6
NEBRASKA
121 BILLINGS. MQNT.
IT* GREAT FALLS. MONT.
406 LINCOLN. NEBR.
4*1 OMAHA, NEBR.-IOHA
4S4 SIOUX CITY, 1CWA.NEBR.
240
SS4
4SB
NORTH CAROLINA
III
114
3SS
162
»3T
IT4
4*1
122
ASHEVILLE, N.C.
CHARLOTTE, N.C.
DURHAM. N.C.
PAYETTEVILLE, N.C.
GASTONIA. N.C.
SIIEENSBORO-DINSTON-SAUEIUMIGH POINT,N.C.
RALEIGH. N.C.
DILNINGTON, N.C.
NORTH DAKOTA
141 PARGO«MOOREHEAO. N.OAK.-MINN.
lOt
144
160
186
194
176
112
11B
4OO LAS VEGAS. NEV.
441 RENO. NEV.
." HAMPSHIRE
«41 MANCHESTER, N.H.
NtM JERSEY
soi ALLENTOMN.BETHLEHEM.EASTON. PA..N.J.
Ill ATLANTIC CUV. N.J.
3*9 JERSEY CITY, N.J.
S60 LONG BRANCH.ASBUflY PARK. N.J.
341 ME" BRUNSWICK-PERTH AMBOV.SAYREVILLEt N.J.
414 NEMARK. N.J.
444 PATERSON.CLIFTON.PASSAIC. N.J.
44t PHILADELPHIA. PA..N.J.
SOf TRENTON. N.J.
316 VINELANO-MILLVILLE'WIDGETON, N.J.
521 HILMINGTON. DEL.-N.J.-HO.
MM MEXICO
104 ALBUQUERQUE. N.MEX.
230
MO
ISO
2B
4B
220
264
112
S20
4T4
490
no
24
OHIO
OKLAHOMA
101 AKRON. OHIO
111 CANTON. OHIO
119 CINCINNATI, OHlO-KY.-INO.
140 CLEVELAND. OHIO
144 COLUMBUS, OHIO
141 DAMON. OHIO
ITS HAMILTON-MIDDLETOMN, OHIO
111 HUNTlNGTON.AbHLAND, Wj'VA.-KY.-OHlO
401 LIMA, OHIO
401 LORAIN-ELYRIA. OHIO
510 MANSFIELD, OHIO
162 PARKEMSBURG.MAHIETTA. K.VA.-OHIO
492 SPRINGFIELD, OHIO
4*1 STEUBENVILLE-MEIRTON. OHIO.M.VA.
SOI TOLEDO, OHIO-MICH.
11T HMEELING, K.VA.^JHIO
124 YOUN6STONN.DARREN, OHIO
146 PORT SMITH, ARK.-OKLA.
402 LAkTON. OKLA.
442 OKLAHOMA CITY. OKLA.
SOT TULSA, OKLA.
It
90
IOB
110
120
12B
191
20B
2»t
266
2B2
3*4
4)2
4*4
4T2
900
120
1TO
2S2
112
410
NIK YORK
OREGON
101 ALBANY-SCHENECTADY-TROY.
122 BINGHAMTON. N.T.-PA,
110 BUFFALO. N.Y.
114 ELMIRA. N.Y.
411 NE» YORK. N.V.
N.V.
J2-
TO
I*
I4B
1U
Ml EUGENE-SPNINGFIELO. OREG.
414 PORTLAND. OREG.-HASH.
4T2 SALEM. OREG.
192
364
404
-------
B.l.» SCSA CCDl
1ltll
INDO 0' TAftltl
JHJA'S LISTIP ALPHABtllCALlY BY STATE
PAGE iiMt ».E.A v-s» cuct AMD
TIIAS
30! iL!.C'iou«
S.OAIU
*«0
TENNESSEE
MASHIN6TON
3)7 CHATTANOOGA. TtNN.-* «IHPH1S. 1ENN..ARK.
*2t NA}HVILLC. TENN.
102
212
110
*96 PORTLAND. OHE&..KAJH.
96* P. lCHl«NC.Ht1Nl»lCH»
** SE»TrLt-tvtalTT. >ASH
*«« iPOvANt. »A4«.
*9I TACOHAi »ASH,
»7fl TAK|MA
16*
)(2
*)2
»»4
»»2
9U
Tt«Ai
300 ABILENE, TEX. 16
307 AMAP.ILLO, Tt>. )2
iI5 AUSTIN, TO. 52
920 Bf AUVOT-POP.T AP.TNilP.-OP.ANGE> TEX. 6*
111 tiROHlSvILLE-nAP.Lll&CN.SAN BEMTO. TEX. 12
51B BPV4N.CULl.Eut STATION, TEX. I*
3*5 COHPuS CHP.ISTI, TEX. 122
>*6 DALLAS. U». 12*
35d CL PASO. T£X. 1*6
3l>» »OP.' «UB^H. TE«. 17*
171 &«LVtSTON-TfHAS C|TT. TEX. 1S2
312 -CUS10N, Ttl. 206
5S» It ILLEtN.TEMPLE. TEX. 2)0
399 LAREDU. TEX. 2*1
*12 LUBBOCH. TEX. 272
532 HCALLEN.PHARR.EDINBURG. TEX. 2«*
MCST VIRGINIA
335
562
*95
WISCONSIN
537
35*
375
CHAHLESTON. «.VA.
MUMINOTON-ASHLAND. K.VA..KY.-OHIO
PAR'EISBURG.MARIETTA. H.VA..OH10
STtuBENVlLLE-kElRTON, OWIO.».VA.
HEELINb. ..VA.-OHIO
APPLETON-OSHKOSH, MIS.
DULUTH.SUPEKlUH, MINN.-MIS.
GREEN BAY. HIS.
KENOSHA. >is.
«t
2M
1*2
*»
500
*2
1*2
192
22*
-------
- ITS B.E.A SMSA CODE AND TITLE
CONTINUED
5*1 LA CROSSE. HIS.
»15 MADISON. HIS.
«kO
tr|S.
INOI* 0' TABLE)
LISTED ALPHABET ICALLY BY STATE
WE
' II*
1T(
*»»
IT*
CHEYENNE. WYO.
!*
-------
The following is a list of the Standard Metropolitan Statistical
Areas (SMSA's) indicating the constituent counties as of January 7,
1972. The projections ofDemographic and economic indicators, done
by the Bureau of Economic Analysis (BEA), Department of Commerce,
was made on the basis of SMSA's as they were defined as of January 7,
1972.
The following SMSA designation differs from the official designation
of the Office of Management and Budget in one respect: SMSA's in the
New England States are officially defined on a township, rather than a
county basis; BEA projections for these New England SMSA's, however,
are based upon geographic areas which are defined on.a whole-county
basis. Thus, for example, the Fitchburg-Leominster, Mass., SMSA, and
the Worcester, Mass., SMSA are combined in the BEA projections into one
area, Worcester County, even though the Fitchburg-Leominster SMSA
officially includes several townships from another county (Middlesex)
and portions of Worcester County are not officially located in either
SMSA.
-------
K'O ABILENE, TEX.
301
302
COON;v COMPOSITION OF J^:^A«^
SMS**S LISTED IN 8.E.A. COOt NUMBER ORDER
913 ATLANTIC CITY, N.J.
JONES
TAYLOR
AKRON, OHIO
PORTAGE
SUMMIT
ALBANY, GA.
DOUGHERTY
ALBANY-SCHENECTADY-TROY. N.Y.
ALBANY
RENSSELAER
SARATOGA
SCHENECTADY
TEX.
TEX.
OHIO
OHIO
GA.
N.Y.
N.Y.
N.Y.
N.Y.
ATLANTIC
31* AUGUSTA, GA.-S.C.
AlKEN
RICHMOND
315 AUSTIN, TEX.
TRAVIS
316 BAKERS1" I ELD. CAL.
KERN
317 BALTIMORE* MD.
ANNE ARUNDEL
BALTIMORE
N.J
S.C
GA.
TEX
CAL
MD.
MD.
30*
ALBUQUERQUE. N.M.
BERNALILLO
N.M.
BALTIMORE (INDEPENDENT CITY) MO.
CARROLL MD.
HARFORO MD.
HOWARD MD.
30$ ALLENTOWN-BETHLEHEM-EASTON. PA.-N.J..
316 BATON ROUGE. LA.
WARREN
LEHIGH
NORTHAMPTON
ALTOONA, PA.
BLAIR
AMARILLO, TEX.
POTTER
RANDALL
N.J.
PA.
PA.
PA.
TEX.
TEX.
EAST BATON ROUGE
319 BAY CITY, MICH.
BAY
320 BEAUMONT-PORT ARTHUR-ORANGE,
JEFFERSON
ORANGE
LA.
MICH
TEX.
TEX.
TEX.
306
307
308 ANAHEIM.SANTA ANA-GARDEN GROVE. CAL.
ORANGE
309 ANDERSON, INO.
MADISON
310 ANN ARBOR, MICH.
WASHTENAW
311 ASHEVILLE, N.C.
BUNCOMBE
312 ATLANTA, GA.
CLAYTON
COBB
GWI.NCTT
DEKALB * FULTON
CAL.
I NO.
MICH.
N.C.
GA.
GA.
GA.
GA.
321 BILLINGS, MONT.
YELLOWSTONE
322 BINGHAMTON, N.Y.-PA.
MONT.
323
BROOMg
T10GA
SUSOUEHANNA
BIRMINGHAM, ALA.
JEFFERSON
SHELBY
WALKER
N.Y.
N.Y.
PA.
ALA.
ALA.
ALA.
324 8LOOM1NGTON-NORMAL, ILL,
MCLEAN
ILL.
-------
COUNTY COMPOSITION OF
SMiA'S L1SUD IN B.E.A. COLE
ORDER
325
3?9
?30
"I
332
333
33*
335
336
337
338
339
BOISE QTY. IDA.
A;.A
BIARA
CANTON. OHIO
STARK
CEDAR PAP1DS, IA.
LINN
CHAM.PAIGN-UP8ANA. ILL.
CHAMPA I
-------
COUNTV COMPOSITION OF SMSA'S
SMSA»S LISTED IN B.E.A. CODE NUMBIR ORUEH
350 DENVER i COLO.
36* FLINT* MICH.
351
352
953
35*
355
ADAMS
ARAPAHOE
BOULDER
DENVER
JEFFERSON
DES MOINES, IA.
POL*
DETROIT. MICH.
MACOMB
OAKLAND
WAYNE
DUBUOUE. I A.
OUBUOUE
DULUTH. SUPERIOR. MjNN.«WlSC.
DOUGLAS
ST. LOUIS
DURHAM, N.C.
DURHAM
ORANGE
COLO.
COLO.
COLO.
COLO.
COLO.
IOW*
MICH.
MICH.
MICH.
IOWA
wise.
MINN.
N.C.
N.C.
GENESEE
LAPEER
365 FORT LAUDERDALE-HOLLYWOOD,
BROWARD
366 FORT SMITH, ARK. -OKI. A.
CRAWFORD
SEBASTIAN
LE FLORE
SEOUOYAH
36? FORT WAYNE. IND.
ALLEN
366 FORT WORTH, TEX,
JOHNSON
TARRANT
369 FRESNO, CAL.
FRESNO
\1O &AD&DEN. ALA.
MICH
MICH
FLA.
FLA.
ARK.
ARK.
OKLA
OKLA
IND.
TEX.
TEX.
CAL.
356 EL PASO, TEX.
EL PASO
*
357 E«IE» PA.
ERIE
358 EUGENE-SPRINGFIELD, ORE.
LANE
359 EVANSVILLE, IND.-KY.
VANDER8URGH
WARRICK
HENDERSON
361 FARGO-MOORHFAD. N.D..MINN.
CLAY
CASS
362 FAYETTEVILLE, N.C.
CUMBERLAND
ETOWAH
ALA,
TEX.
PA.
ORE*
IND.
IND.
KY.
MINN.
N.D.
N.C.
371 GALVESTON-TEXAS CITY, T£X.
GALVESTON TEX.
372 GARY-HAMMOND-EAST CHICAGO, IND.
LAKE IND.
PORTER IND.
373 GRAND RAPIDS, MICH,
KENT
OTTAWA
37* GREAT FALLS. MONT.
CASCADE
375 GREEN BAY, WISC.
BROWN
MICH.
MJCH.
MONT,
wise,
376 GREENSBORO-WINSTON-SALEM-HIGH POINT,N.C.
FORSYTH
GUILFCRD
RANDOLPH
YADKIN
N.C.
N.C.
N.C.
-------
COUNTY COMPOSITION OF SMSA'S
SMSA'S LISTtO IN B.E.A. CODE NUMBER ORDER
s.c.
.-;.rt'.vn.LF
= iC>.F';S
OHIO
OUTLtR
s.c.
s.c.
OHIO
308 JACKSONVJLLF , fLA,
DUVAL
389 JERSFY CITY, N.J.
HUDSON
390 JOHhSTOwN. PA.
379
PA.
FLA.
N.J.
361
382
363
384
385
386
387
- ' - " \
E%AM>
h*f £S Y
HONOLULU, HAWAII
HONOLULU
HOUSTON, T£X.
BRAZORIA
FCPT BEND
KARRIS
MONTGOMERY
HLINTJNGTON-ASHLAND,
LAWRENCE
CABtLL
WAYNE
BOYO
HONTSVILLE, ALA.
LIMESTONE
MADISON
INDIANAPOLIS, IND.
OOONE
HAMILTON
HANCOCK
HENDRICKS
JOHNSON
MARION
MORGAN
SHELBY
JACKSON, MICH,
JACKSON
JACKSON, MISS.
HINDS
;...RArNKIN . , .......
PA!
PA.
HAWAII
TEX.
TEX.
TEX.
TEX.
TEX.
W.VA.-KY.-OHIO
OHIO
W.VA.
W.VA.
KY.
r* " 9
ALA.
ALA.
IND.
INO.
INO.
INO.
INO.
INO.
INO.
IND.
MICH.
MISS.
... - MISS.
391
392
393
39*
395
'
396
397
396
399
CAMBRIA
SOMERSET
KALAMAZOO. MICH.
KALAMAZOO
KANSAS CITY, MO. -KAN.
CASS
CLAY
JACKSON
PLATTE
JOHNSON
WYANDOTTE
KENOSHA, MISC.
KENOSHA
KNQXVILLEt TENN.
ANDERSON
BLOUNT
KNOX
LAFAYETTEt LA.
LAFAYETTE
LAKE CHARLES. LA.
CALCASIEU
LANCASTER* PA.
LANCASTER
LANSING-EAST LANSING, MICH.
CLINTON
EATON
INGHAM
LAREDO. TEX.
LJ*. BO
PA.
PA.
MICH.
MO.
MO.
MO.
MO.
KAN.
KAN.
wise.
TENN.
TENN.
TENN.
LA.
LA.
P*.
MICH.
MICH.
MICH.
Cl\
-------
COUNTY COMPOSITION OF SMSA«S
SMSA'S LISTED IN P.E.A. CODE NUMBER ORDER
40G L*5 VEOASi NEV.
4ie MEMPHIS, TENN.-ARK.
CLARK
402 LAWTON. OKLA.
COMANCHE
NEV.
«..
404 LEMNGTONi KY.
s FAYETTE KY.
A
V0\ LIMA, OHIO
\, ALLEN
PUTNAM
VAN *ERT
406 LINCOLN. NEB.
LANCASTER
OHIO
OHIO
OHIO
NEB.
4Q7 LITTLE ROCK. NORTH LITTLE ROCK, ARK.
PULASKJ ARK.
SALINE ARK,
408 LORAIN. ELYBIA
LORAIN
i OHIO
OHIO
40* LOS ANGELES-LONG BEACH, CAL.
LOS ANGELES CAL*
410 LOUISVILLE. KY.-1ND.
CLAK.1
FLOYD
JEFFERSON
412 LUC60CK, TEX.
41) LYNCKBUUGo VA
AMHERST
CAMPBELL
414 KACON, GA.
BIBB
HCU5TCN
41 J MADISON, WJJC
>:'^. :>.-,. .. ;
1ND.
IND.
KV.
tex.
9
VA.
VA.
GA.
1
wise.
SHELBY
CRITTENOEN
420 MIAMI, FLA.
OADE
421 MIDLAND, TEX.
MIDLAND
422 MlL*AUK£e« wjSC.
MILWAUKEE
02AUKEE
WASHINGTON
WAUKESHA
423 MlNNEAPOLlS-ST. PAUL
ANOKA
DAKOTA
HfNNEPJN
RAMSEY
WASHINGTON
424 MOBILE, ALA.
BALDWIN
MOBILE
42» MONROE, '.A.
OUACHITA
426 MONTGOMERY, ALA.
ELMOPC
MONTGOMERY
427 MUN'CIE, IND,
DELAWARE
428 MUSKE&ON-MUSKEGON I-E
429 NASHVilLE* TENN.
OAViDbON
WILSON
4J4 NEW OKLEAHS. LA,
JtFf:lRSON
ti: .L,;i..;
T6NN.
ARK.
FLA.
TEX.
wise.
wise.
wise.
wise.
. MINN,
MINN.
MINN,
MINN.
MINN.
MINN.
j- f
' Pi
ALA!
ALAU
LA.
ALA.
ALA,
I NO,
IGHTS. MICH.
MICH.
TENN.
TENN.
TENN.
LA.
I. A*
L *.
-------
r,i
N.Y.
COUNTY COMPOSITION OF SMSA'S
SMSA'S LlSTtD U« B.E.A. CODE NUMBER ORDtK
4*6 PATfRSON-CLlFTON-PASSAIC, N.J.
N,'. *' 1.1
«,.l« I.ANl)
.I.' I t'l.K
hi Ml.'-l'^Tl' H
f.'U YCKK. CITY (5 BOKOUGMS)
*»
tSSUir
0^
^fc
Wggi*
436 NEWARK, N.J.
ESSEX
MORRIS
UNION
437 NEWPORT NEfcS-rtAMPTON. VA.
YORK
N.Y.
N.Y.
N.Y.
N.Y.
N.Y.
MR*
M?
s
«£
N.J.
N.J.
N.J.
VA.
UfRliEN
PASSAIC
447 PENSACOUAi FLA.
ESCAM6IA
SANTA ROSA
448 PEORIA. ILL.
PEOHIA
TAZEWetL
WOOOFORD .
449 PHILADELPHIA, PA. -N.J.
BURLINGTON
CAMOEN
GLOUCESTER
BUCKS
CHESTER
DELAWARE
MONTGOMERY
PHILADELPHIA
N.J.
N.J.
FLA.
FLA.
ILL.
ILL.
ILL.
N.J.
N.J.
N.J.
. PA.
PA.
PA.
PA.
PA.
438 NORFOLK-VIRGINIA BEACH-PORTSMOUTH. VA,
CHESAPEAKE CITY
VIRGINIA PEACH
VA.
VA.
450 PHOENIX, ARIZ.
440 ODESSA, TEX.
ECTOR
441 O<»DEN» UTAH
WEBER
TEX.
UTAH
MARKOPA
4si PINE BLUFF, ARK.
JEFFERSON
45Z PITTSBURGH, PA.
445 OXhAPD-SIMI VALLEY-VENTURA.
VENTURA . CAL.
,460 RACINE. WISC.
RACINE
ARIZ.
ARK.
442
443
444
OKLAHOMA CITY, QKLA.
CANADIAN
CLEVELAND
OKLAHOMA
OMAHA, NEU.-IA.
POTTAWATTAMIfc
DOUGLAS '
SARPY
ORLANDO, FLA.
ORANGE
SEMINQLE
OKLA.
OKLA.
OKLA.
, IOWA
-' ' "' -NE&* '-. -,,-
NEB.
' ' Ft A.
'-' ' '.*** .
ALLEGHENY
BEAVER
WASHINGTON
WESTMORELAND
456 PORTLAND, ORE, -WASH.
CLARK
CLACKAMAS ? ..
MULTNOMAH ;\ , '' " ;
^ WASHINGTON'/"' - ;. .. .'
' . V,". -.. . ' '
''">,' . '
*58 PROVO-OREM. UTAH .
',- v -UTAH- _ ;: >."" .-.-'
459 ,.P,UEBLO., CPLO. M. .'.'.. ' :'
PA.
PA.
PA.
PA.
WASH.
/:ORE.
' '.-.; ORE; :->
i . '
UTAH ;
' *"'':' ':-,' :'"''
' . f . ' r '
COLO*
WISC.
-------
COUNTY COMPOSITION OF SMSA'S
SMSA'S LISTED IN B.C.A. CODE NUMBER ORDER
46) RALEIGH, N.C.
478 SALEMt ORE.
462
463
*64
469
466
467
468
WAKE
READING, PA.
BERKS
RENO. NEV.
WASHOE
RICHMOND. VA.
CHESTERFIELD
HANOVER
HENRICO
ROANOKE, VA.
ROANOKE
ROCHESTER! N.Y.
LIVINGSTON
MONROE
ORLEANS
WAYNE
ROCKFORD. ILL.
BOONE
WJNNEBACo
SACRAMENTO, CAL.
PLACER
SACRAMENTO
YOLO
N.C.
PA.
NEV.
VA.
VA.
VA.
VA.
N.Y.
N.Y.
N.Y.
N.Y.
ILL.
ILL.
CAL.
CAL.
CAL.
MARION
POLK
473 SALT LAKE CITY. UTAH
DAVIS
SALT LAKE
474 SAN ANGELO, TEX.
TOM GREEN
475 SAN ANTONIO, TEX.
BEXAR
GUADALUPE
ORE.
ORE.
UTAH
UTAH
TEX.
TEX.
TEX.
476 RIVERSIDE-SAN BERNARDINO-ONTARIO, CALIt «
RIVERSIDE
SAN BERNARDINO
477 SAN DIEGO* CAL.
SAN DIEGO
478 SAN FRANCISCO-OAKLAND, CAL.
ALAMEDA
CONTRA COSTA
MAR1N
SAN FRANCISCO
SAN MATED
479 SAN JOSE, CAL.
CAL.
CAL.
CAL.
CAL.
CAL.
CAL.
CAL.
CAL.
469 SAG INAH, MICH.
SAC-INAW
470 ST. JOSEPH, MO.
BUCHANAN
471 ST. LOUIS. MQ.-ILL.
MADISON
ST. CLAIR
FRANKLIN
JEFFERSON
ST. CHARLES
ST. LOUIS
SANTA CLARA
CAL,
MICH,
MO.
ILL.
ILL.
MO,
MO.
MO.
MO.
461 SANTA BARBARA-SANTA MARIA-LOMPoC,.CALIF.
SANTA BARBARA CAL.
ST, LOUIS (INDEPENDENT CITY) MO.
482 SAVANNAH, GA.
CHATHAM
403 SCRANTON, PA.
LACKAWANNA
484 SEATTLE-EVERETT, WASH,
KINO
SNOHCMISH
GA,
PA.
WASH.
WAS)' ,
-------
COUNTY COMPOSITION OF SMSA»S
SMSA'S LISTtO I* B.E.A. CODE NUMBtR ORDtR
LA.
500 TAMPA-ST, PETERSBURG, FLA.
< 6
<.87
<.ft8
489
490
A9J
492
495
496
497
498
499
ttC.'iilLR
CAC-UO
SIOUX CITY, IA.-NEB.
KCODOURY
DAKOTA
SiOuX PALLS, S.D.
MJNNfHAMA
SOUTH b£NO. IND.
MARSHALL
ST. JOSEPH
SPOKANE, WASH.
SPOKANE
SPRINOFIELD, ILLi
$AN()AMON
SPRINGFIELD. MO.
GREENE
SPR1NGFJELD, OHIO
CLARK
STEUBENVILLE-WEIRTON,
JEFFERSON
BROOKE
HANCOCK
STOCKTON. CAt.
SAN JOAOUIN
SYRACUSE, N.Y.
MADISON
ONONDAGA
OSWEGO
TACOMA, MASH.
PIERCE
TALLAHASSEE, FLA.
LA.
IA.
IOWA
NEB.
S.D.
IND.
IND.
WASH.
ILL.
MO.
OHIO
OHIO-W.VA.
OHIO
W.VA.
W.VA.
CAL.
N.V*
N.Y.
N.Y.
WASH.
HJLL3BOROUGH
PINEULAS
501 TERRE HAUTE, IND.
CLAY
SULLIVAN
VERMILLION
VIGO
502 T£XARKANA» .TEX.-ARK.
MILLER
BOWIE
503 TOLEDO, OHIO-MICH.
MONROE
LUCAS
WOOD
504 TO?EKA« KAN.
SHAWNEE
505 TRENTON, N.J.
MERCER
506 TUCSON, ARIZ.
PIMA
507 TULSA, OKLA.
CREEK
OSAGE
TULSA
508 TUSCALOOSA, ALA.
TUSCALOOSA
509 TYUERt TEX.
SMITH
510 UTICA-ROME, N.V*
HERKIMER
ONE I DA
511 VALLEJO-FAIRFIELD-NAPA. CALIF.
NAPA
SOtANO
FLA.
FLA.
IND.
IND.
IND.
IND.
ARK.
TEX.
MICH.
OHIO
OHIO
KAN.
N.J.
ARIZ.
OKLA.
OKLA.
OKLA.
ALA.
TEX.
N.Y.
N.Y.
CAL.
CAL.
LEON
FLA.
-------
COMPOSITION OF S*5A«S
SMSA'S LISTED IN B.E.A, CODE NUMBER ORDER
912 WACO.
MC LENNAN
519 WASHINGTON, O.C.-MD.-VA.
MONTGOMERY
PRINCE GEORGES
DISTRICT OF COLUMBIA
ARLINGTON
FAIRFAX
LOUDOUN
PRINCE HILL I AM
913 WATERLOO, I*.
BLACK HAWK
9u WEST PALM BEACH, FLA.
PALM BEACH
917 WHEELING* W.VA..OHIO
BELMONT
915 YORK. PA.
TCX.
MO.
MD.
D.C.
VA.
VA.
VA.
VA.
IOWA
ADAMS
YORK
926 YOUNGSTOWN.MARRENt OHIO
MAHONJNG
TRUM8ULL
52* BURLINGTON, VT.
CHITTENDEN
92$ CHEYENNE. WYO.
LARAMIE
PA.
PA.
OHIO
OHIO
VT.
HYQM
FLA,
OHIO
52? LAFAYETTE-WEST LAFAYETTE. IND.
TIPPECANOE INO.
990 MANSFIELD* OHIO
RICHLAND OHIO
518
*19
520
921
922
MARSHALL
OHIO
WICHITA. KAN.
BUTLER
SEDGWICK
WICHITA FALLS* TEX.
ARCHER
WICHITA
W1LKE5-BARRE-HAZLETON* PA.
LUZERNE
WILMINGTON, DEL.-N.J.-MD.
SALEM
NEW CASTLE
CECIL
WILMINGTON, N.C.
BRUNSWICK
NEW HANOVER
W.VA,
W.VA.
KAN*
KAN.
TEX.
TEX.
PA,
N.J.
DEL.
MD.
N.C.
N.C*
991 ANCHORAGE. ALASKA
THIRD JUDICIAL DISTRICT
992 MCALLEN.PHARR-EOINBURG. TEX.
HIDALGO
999 SALINAS. SEASIDE-MONTEREY.' CALIF.
MONTEREY
994 SHERMAN. DEN I SON, TEX.
GRAYSON
9,99 BILOXI-GULFPORT. MISS.
'; HARRISON
996 VINELANP-MILLVILLE-BRIDGETON, N.
CUMBERLAND
. 997 APPLETCN.OSHKOSH, WISCONSIN
CALUMET
OUTAGAMIE
WINNEBAfaO
ALASK,
TEX.
CAL.
TEX*
MISS,
J.
N.J.
wise.
wise.
wise.
-------
COUNTY COMPOSITION OF SMSA«S
j LISTtO IN B.E.A. CODE NUMBER ORDER
v; STATION.
5-T
.".I
BOONE
FLORIDA
Al
TEX,
MO.
FLA,
WJSC.
556 FOat MYEP5, FLA.
LEE
557 GASTCN1A, N. C.
GASTON
558 KILL6EN-TEMPLE» TEXAS
BfLL
CORTELL
FLA.
N.C.
TEX,
TEX.
559 L*^ELAND-WINTER HAVEN. FLA.
POL* FLA.
STANISLAUS
5<-5
D4VIE.5
CALIF.
KY.
-HOPEWEUL. VA«
DIMWICOIE PETERSBURG VA.
PRINCE
-------
.£0UMf CCMPOMHON Of SM)iA*S
SMSA'S LISTED IN B.E.A. CODE NUMBER ORDER
571 MELBOURNE-TITUSVILLE-COCOA, FLA.
BPEVARD FLA*
930 BRIDGEPORT-NORWALK-STAMFORD-DANBURY.
FAIRFIELD CONN
942 PROVIDENCE-WARWICK-PAWTUClCET. R.I.
BRISTOL
KENT
PROVIDENCE
R.I.
R.I.
R.I.
931 NEW HAVEN-WATERBURY-MER1DEN, CONN.
NEW HAVEN CONN.
93? HARTFORD-NEW BRITAIN-BRISK^. CONN,
HARTFORD CONN.
933 NORWICH-GROTON-NEW LONDON. CONN.
NEW LONDON CONN.
93* BOSTON. MASS.
ESSEX
MIDDLESEX
PLYMOUTH
SUFFOLK
MASS.
MASS.
MASS.
MASS.
MASS.
935 FALL RIVER-NEW BEDFORD. MASS.
BRISTOL MASS,
936 PITTSFIELD, MASS.
BERKSHIRE
MASS,
937 SPRINCiFIELD-CHICOPEE-HOLyOKE» MASS.
HAMPDEN
HAMPSHIRE
MASS.
MASS.
938 WORCESTER-FITCHBURG-LIOMINSTER. MASS.
WORCESTER MASS.
939 PORTLAND-SOUTH PORTLAND! ME.
CUMBERLAND
ME,
9*0 LEWISTCN-AUBURN, ME,
ANDROSCOG6IN
941 MANCHESTER-NASHUA* N.H.
HILLSBORCUGH
ME.
N.H.
-------
rl'?>lfHx A--Bas1s for Initial Designation Criteria
This Appendix provides the technical derivation of the Initial desig-
nation criteria presented 1n Section III of the Guideline.
A. Carbon Monoxide
The exclusion criteria of 25 p.p.m., 8 hr. average, is derived using
the model for CO presented in Section V of this report and "worst case"
data. If an area has measured an 8 hr. maximum CO concentration less than
25 p.p.m., it may be excluded as an AQMA for CO. If present CO concentra-
tion is 25 p.p.m. or more, then 1985 CO concentration should be estimated
using the model presented in Section V and relevant data for the area in
question.
The calculations and reasoning leading to the selection of 25 p.p.m.
8 hr. average as the exclusion threshold are now presented.
Urban background is normally taken to be 1 ppm, so b = 1.0.
The most often violated standard for CO is the 8 hr. standard
of 9 ppm, so Ft = 9.0.
G.J and G. will be assumed equal. Mobile source growth Is
about 5%/ year maximum for urbanized areas. If a 1970 baseline is
chosen, then the projection period 1s 15 years. The growth factor
is derived from the growth rate by
G = (1 + r)n = (1 + .05)15 = 2.08
A growth factor of 2.0 will be used for all urban sources, so
G-i = G. = G =2.0.
Growth of local traffic (G*) will be less than total urban
growth due to "saturation" of local streets. G* will be taken as 1.2.
The worst case division of baseline emissions is that where
stationary sources and heavy duty vehicles contribute most. Current
data for 26 AQCRs with high CO emissions indicate that Pj = 70%,
PK = 10£, P. = 20% is about the worst case situation.
-------
me expected ratios of coniposile emission factors for the period
l!.'70-193!; are approximately E] = 0.1, Eh = 0.5, E$ = 1.0.
Ft = F1 + Fu + b (1)
9 = Fl + Fu + ]
Fl PlG*lET*PDGVh (2)
F1 70 x 1.2 x 0.1 + 10 x 1.2 x 0.5
0.8(13-1) 70+10
Fu P1G1E1 + PhGhEh * PsGsEs (3)
100%
F 70 x 2 x 0.1 + 10 x 2 x 0.5 + 20 x 2 x 1.0
1" = T0(5 "~~~
F1 = .144(8-1)
Fu = .128 (B-l)
9 - .144 (B-l) + .128 (B-l) +1
B = 30.4 ppm
Thus, if a CO concentration of 30.4 p. p.m., 8 hr. average was observed
in 1970, and the CO emission distribution, growth rates, and emission factor
ratios are as assumed, then the 8 hr. CO standard of 9 p. p.m. would just be
met in 1985. Since CO concentration is quite sensitive to location, and
since the location of CO monitors in 1970 was not likely ,tp coinside exactly
with the points of maximum 8 hr CO concentration, an exclusion criteria of
- 5 _ . ', . * t ; : ' > ' *
25 rather than 30.4 p. p.m. has been adopted.
There is no initial inclusion threshold for CO. In most areas, emissions
' . *'
of CO are predominately from mobile sources so that mobile source performance
standards should reduce CO concentrations below the NAAQS before 1985.
A-2
-------
"\.x
. 7 C-
B. Total Suspended Particulates
Nationwide emissions of TSP are not expected to increase. The
combination of SIP requirements for existing source emission reduction,
attrition of existing sources, and the requirement that new sources
meet NSPS should result in a continuing decrease in TSP emissions through
1985. Therefore, areas in which all NAAQS for TSP are presently being
met need not be designated as AQMA's for TSP.
There is no inclusion threshold for TSP other than the projected
violation of a NAAQS in 1985. Those areas where a "reasonable time"
for attainment of a secondary NAAQS for TSP extends beyond 1985 must
be declared AQMA's for TSP. For other areas currently exceeding NAAQS
for TSP, the analytical techniques presented in Section V may be used
to project TSP concentration to 1985.
C. Sulfur Oxides
Nationally, most SIP requirements for control of S02 in urban areas have been
implemented. Control methods for SOX emissions are not as advanced as controls
for TSP. Consequently, growth of SO sources may result in a net
^
increase in SO emission even though NSPS for SO are applied to new
/\ /\
sources. Therefore, an indicator of growth is contained in the
exclusion criteria for SO .
/\
If the products of the highest measured S02 concentrations for each
averaging time and a growth factor based on projected SMSA total earnings
is less than any NAAQS for SOp, the area may be excluded as an AQMA for
SOp. Total earnings in the SMSA was selected as the best indicator of
emission growth potential that is readily available. The growth factor
-------
r (1 + _rjn ^85
b " 100 " V.
D
Where
G = relative growth factor
r = growth rate, %/year
n = number of years between the base year and 1985
Vgr = value in dollars in 1985 of total earnings
V, = value in dollars in base year of total earnings
The inclusion criteria for SCL is identical to that for TSP.
D. Photochemical oxidants
All areas for which transportation controls are required for
oxidants must be designated AQMA's for oxidants. Although MSPS*and
."'SP$*for hydrocarbons will lower oxidant concentrations below NAAQS
by 1985 in some areas, other areas, particularly those with high sta-
tionary source HC emissions, may have difficulty meeting NAAQS without
further HC emission control. It is, therefore, considered prudent to
subject areas requiring special HC emission control (i.e., transporta-
tion control areas) to the air quality maintenance analysis required
following AQMA designation.
An area may be excluded from AQMA designation if (1) it is not a
transportation control area for oxidants, and (2) measured peak hourly
oxidant concentration is less than twice the NAAQS for oxidants (0.16
p.p.m. or 320 pg/m ). This latter exclusion threshold is arrived alt-.*.
. c" *". '" *. .-i /".'' ,' '. i
;.-....' " ';.' . . , s .<'-.'.. ' -.' '.!, ; .'
through the following reasoning.
The combination of MSPS, NSPS and growth is expected to result in
.-' . ' i.-. .- ''
about a 55% reduction in HC emission from the average metrbppHtan ".:=.,
area by 1985. Both Appendix J and proportional models indjcatie.that a'
*Mobile source performance standards
*New source performance standards
-------
55% HC emission reduction should produce a 55% oxldant concentration
reduction. Furthermore, the reduction 1n the HC/NO ratio which 1s
rt
the likely consequence of present and expected emission control regula-
tions, should reduce oxldant concentrations even more than predicted
by Appendix J or proportional modeling. It follows that an area
presently exhibiting less than double the NAAQS for oxidant should
achieve NAAQS by 1985 provided MSPS and NSPS are effectively applied
and enforced.
3
Areas which exhibit oxidant concentrations above 320 wg/m but
are not subject to transportation controls may estimate 1985, oxidant
concentration using the methods presented 1n Section V.
E. Nitrogen dioxide
Future NCL concentrations were projected by EPA for all regions
likely to exceed NOg NAAQS. These projections were made in connection
with the re-examination of the MSPS for N0y. The results of this
^
analysis indicate that NAAQS for Nt^ are threatened only in the Los
Angeles, Chicago, New York, Denver, and Wasatch Front AQCR's. Con-
sequently, only the urbanized portions of these AQCR's need be
designated AQMA's for NCs. All other areas may be omitted.
*--*r"^ ^ r^>
c
i
A-5
-------
APPENDIX B - Examples of Analyses for a Hypothetical SMSA Employing the
"Back-Uo" Method of Estimating Emissions
This appendix presents example calculations for carbon monoxide, sulfur
dioxide, and hydrocarbons/photochemical oxldants. The hypothetical SMSA is
assumed to be located in a state which will be under a significant burden and
must resort to the "back-up" method of calculating emissions allowed after
application of all SIP control strategies. As stated in Section IV of this
guideline, however, the "preferred" method is to be employed in most cases,
rather than the "back-up" method. The "preferred" method is the method used by
the states in developing the control strategies for "example regions", i.e.,
application of SIP regulations to all emissions, source-by-source, to
determine allowable emissions in 1975 (or 1977, if an extension for attaining
the NAAQS was granted). The "back-up" method is presented here merely to demon-
strate its use, but its use should be restricted to those States which will
be faced with a heavy burden in designating the air quality maintenance areas.
Before deciding to use the "back-up" method, States should discuss the
problems of using the preferred method with the representative responsible
for maintenance of standards 1n the appropriate EPA Regional Office.
Example 1 - Carbon Monoxide
(a) Assume that the hypothetical SMSA has a current carbon monoxide air
quality of 30 ppm, second highest 8-hour average per year. Upon applica-
tion of the initial designation criteria found in Section^II of the
-------
Fuel combustion
Power plants 1200
Point sources excluding power plants 400
Area Sources 400
Subtotal 2000
Industrial point sources 7000
Solid waste disposal
Point sources 100
Area sources 1900
Subtotal 2000
Transportation
LDV 755000
MDV 40000
HDV 55000
Subtotal 850000
Miscellaneous
Point sources 500
Area sources 500
Subtotal 1000
TOTAL 862,000
This data is entered in Column B of Table B-l as shown.
(b) Assume that the following annual growth rates were projected for the
hypothetical area [the 5-year (1970-1975) and 10-year (1975-1985)
compounded growth rates are also given], ~, , -'<
' ! .. , '..-.<: [V'' ''-: ;':' '
,<>' Category Arinual"r 5~year 10-year .:
: Population '.! 2.1%: , m , 23%
Total earnings 4.5% ^ 25f , ' 55*
Manufacturing earnings 4.1% 22;5fV /" 50%
c Assume for: the,hypothetical area that new powe^r plants would con-
tribute an additional 300 tons of CO per year In 1975.
B-2
-------
TABLE B-l. Emission Projection Calculation Table (Carbon monoxide)
CO
I
A
Source
Class
Fuel Combustion
Power plants
B . -C
Reduction
1970 Factors
Emissions (Table IV-2)
1200 1.0
Point sources (exclud pp) 400 1.0
Area sources
Subtotal
Industrial Process
Point sources (subtotal)
Solid Waste Disposal
Point sources
Area sources
Subtotal
Transportation
LDV
MDV
unv
nut
Subtotal
Miscellaneous
Point sources
Area sources
Subtotal
TOTALS
400 1.0.
7000 0.10
100 .52
1900 , .88
2(550 '
755,000
40,000
55 000
*J+J % \J\J\J
850,000
500
500
17390 i.oo
862,000
C-1 D E F . G
Growth Growth Emission 1985
Factor 1975 Rate Factor Emissions
(1975/1970) Emissions (1985/1975-1) Adjustment G = 0(1 * EF
1500
(=1200+300)
1.25 500
1.25 500
?5W 0.55
1.22 900R 0.50
1.10 57
1.10 1840..
Tfolr 0.23
*
1.25 1250 0-55
- '
1.00 2900R
D
.40 1100*
1.00 2,300R
D
83,000*
29,000p
40,000n
152 .000'
*
1.00 1,900R
iso.oooJL
R-indicates rounding
-------
(d) Place the proper emission reduction factors from Table IV-2 in
col uinii C.
(e) The growth factor for 1970-1975 is inserted in Column C-l. It is
obtained from the 5-year demographic-economic parameters, and expressed
as the ratio of the 1975 value to the 1970 value (i.e., 25% is expressed
as 1.25).
(f) Column Li is calculated for all categories except power plants and
transportation by taking the product of columns B, C, and C-l. The
1975 power plant emissions are given by the product of columns B and C,
to which is added the emissions from new power plants.
(g) The appropriate 10-year growth rates are entered in column E for all
categories except transportation; these rates are expressed as the ratio
of the 1985 value to the 1975 value, minus unity (one).
(h) Tne appropriate emission factor adjustments are entered in Column F.
(i) Column G is computed for all categories except transportation by the
given equation.
(j) Transportation emissions are then calculated by equation (1) from
Part IV:
Q1985 =
-------
.'. Q85 = (755,000)(1.37)(.08) + (40,000)(1.37)(.53) + (55.000)(1 .37)(.53)
= 83,000 + 29,000 + 40,000
= 152,000 tons per year
(k) Total column G for a grand total of 160,000 tons/year 1985 emissions
for carbon monoxide.
(1) Carbon monoxide concentrations are calculated by the method given on
p. V-l. Assume a growth factor G* for local street traffic of 1.0 if an
actual value is not known.
FT = FL + Fu + b
F = O.S(B-b) [PG*E+ PG*E]
B + 30 ppm
b = 1 ppm
P. = 87.6 PH = 11.0 (Refers to 1970 percentages calcu
L " lated from Table B-l)
6*L =1.0 G*R = 1.0
EL =0.08 EH = 0.53
. p - n ft fin il r(87.6)(1.0)(.Q8) + (11.0)0,0)(.53)-
. . FL - 0.8 (30-1) [> ' 87.i + Tl.O
= 0.8(29) [^-"ggj-8^
= 3.01 ppm
U
FM = 0.2 (B-b) [PLGLEL+ PHGHEH+ PSGSES]
100%
Since stationary source emissions for 1985 have already been computed,
PSGSES = the rat10 of 1985 stationary source emissions to total 1975
emissions or = 8,000/862,000 « 1%
GL = GH = 1.37 (=1970 to 1985 growth in population)
B-5
-------
F = 0.2 (30-1) r(87.6)n.37)C.08) + (11 .0(1 .37)(.53) +
J ..
-- 0.2(29) |-9. 6_+ 8.0 + 1 -.
L TOO J
= FL + FU + b
-3.0+1.0+1
- 5.0 ppm. second highest 8-hour average
Cone I us ion
Since this concentration is below the standard of 9 ppm, second highest
8-hour average, this SMSA would not be designated as an AQMA for CO.
Example 2 - Sulfur dioxide
(a) Assume that the hypothetical area has a most recent annual arithmetic
mean S02 concentration of 150 ug/m , but has been projected to attain the
SO,, secondary standard before 1985. Since the current air quality concen-
tration for S0~ is above even the primary standard, the area cannot be
automatically eliminated as an obvious non-problem area. Likewise, since
the attainment of the secondary NAAQS has been projected before 1985 due
to the current control strategy, the area cannot be automatically included
as an obvious problem area. Consequently, the area must be subjected to
further analysis consisting of a projection of emissions and air quality.
Note that if the current air quality concentration were below the
secondary NAAQS for S02, one would compute the product of the current
concentration and the relative growth in total earnings between the base
year and 1985 (the relative growth = 1 + the percentage growth rate over
the period of interest). If this product is still below the secondary
B-6
-------
NAAQS for S02, the area could be automatically excluded as an AQMA;
if this product were above the secondary NAAQS for S02§ analysis would
be required for the area to determine 1f 1t should be selected as an
AQMA.
Assume that the hypothetical area has the following 1970 emissions
't
of S02 in tons/year:
Fuel combustion
Power plants 250,000
Point sources (excluding power
plants)
Area sources 100,000
Subtotal 450,000
Industrial point sources 60,000
Solid Waste disposal
Point sources
Area sources
Subtotal NEG
Transportation
LVD
Other mobile
Subtotal 2,000
Miscellaneous
Point sources
Area sources
Subtotal 0
TOTAL 512,000
This data entered into Column B of Table B-2 as shown
(b) The same growth rates apply as in Example 1 above.
(c) Assume for the hypothetical area that new pow-r plants would contri-
bute an additional 20,000 tons/year in 1975. Of course, in actuality, it
is recommended that this figure be obtained from consultation with
electric utility companies.
B-7
-------
TABLE B-2. Emission Projection Calculation Table (Sulfur Dioxide)
CO
I
00
A
Source
Class
Fuel Combustion
Power plants
Point sources (exclud pp)
Area sources
Subtotal
Industrial Process
Point sources (subtotal)
Solid Waste Disposal
Point sources
Area sources
Subtotal
Transportation
LDV
NDV
HDV
Subtotal
Miscellaneous
Point sources
Area sources
Subtotal
TOTALS
B . C
Reducti on
1970 Factors
Emissions (Table IV-2)
250,000- 0.43
100,000 0.43
100,000 0.57-
450,000
60,000 .37
NEG * ' m
2,000 1.00
0
512,000
C-l D E
Growth Growth
Factor 1975 Rate
(1975/1970) Emissions '(1985/1975'-!)
130,000
-__ (=110,000+20,000)
1.25 54,000R .
1.25 54,000
2?S,000 0.55
1.2 2 27,000R 0.51
0
1.10 ,2,200 0.23
*
0 '
. «
F . 6
Emission 1985
Factor Emissions
Adjustment G = 0(1 + E!
1.0 370,000R
0.4 34,000R
i *
1.0 ' 2,000R
406,000
R-indicates rounding
-------
(d) Plaice the proper emission reduction factors from Table IV-2 in
Column C.
(e) The growth'for 1970-1985 is inserted in Column C-l obtained from
the 5-year demographic-economic parameters, expressed as the ratio of
the 1975 value to the 1970 value (i.e., 25% is expressed as 1.25). , For
particulate matter and S0? from transportation sources, assume the same
growth as that of population.
(f) Cclun-r: D is calculated for all categories except power plants and
transportation by taking ths product of columns B, C, and C-l. The 1975
power plant emissions are given oy the product of columns B and C, to
which is add;2d ths emission from new power plants.
(g) The appropriate 10-year growth factors are entered in Column E of all
categories. For particular matter anoi S0? from transportation, assume
the sara growth as population. The growth factors 'here are expressed as
the ratio of tha 19155 value to the 1975 value, minus unity (one).
(h) The appropriate emission factor adjustments are entered in Column F.
(i) Column G is c&iiputeci for &11 categories by the; given equation.
(j) Column G is totalled, yielding 19813 SO., emissions of 406,000 tons/year.
. A
(k) SOp concentration'.; can no..' t:e calculated. Assume that the area has
^
an annual
-------
1975 1985
SMSA (tons/year) 512,000 406,000
Urban area (tons/year) 435,000 345,000
Urban area emission density .-
,, , , .2> 2,720 2,160
(tons/year/mi ) '
The incremental Miller-Holr..'ort!i rny'el is given by:
A>; = .011 AQ [3.P.I H°'13 + ^ - .'^i./--^-.-!'.'/!--.-] (A)
or
AX =- O.OHAQ (iv:.-o s./i:)''lh (;>)
For t!:^ h\'DOt''"-l.ical SiiSA. -if.su;!).: '.-!(? fcViov/'ic,-: cxv-Jit'io/iS:
- a !':^an aniuirii sirirnno \n\>:.'< wr?.>.- ;r!- .;/ctc. -
- a city si;:e ^'.-'OOkp^- r:') '::.; =-- '>,?.} ;,;; ^ s
1 }'J
If 'ii'.i"0 S/( --0.-':/1 i! , ;:. IM-. i;;!?n C i:: ;i.:..au>
loOO (l^i.) - 3971
0.471 H1'13 - 0.471 (SC'J)1"1'3 - 0.471 (.11 ".-0) - 518
Since If-OOS/ii >0.471 H101v\ r^'^tion A Is ur^-'l.
-6.33 (12.1)
- 77 ng/rr.3
X1985 = X1970 + A;<
- 150 - 77
= 73 i-:g/rn° annuol 3riti'ir:?:ti
B-10
-------
(1) To calculate the short term concentrations, the log-normal
model described on p. V-ll of the guideline is used. Assume that
the most recent standard geometric deviation of the hypothetical
area is 2.05 for averaging" times of 3 hours, the ratio of the annual
maximum 3-hour concentration to the mean concentration is 9.74. These
values are underlined for reference in the table of p. V-12. There-
».
fore, the projected 3-hcur maximum conc-nntration is:
(73 vc/m3)(9.7H) « 710 j.g/n.3.
(m) f^cjuj^pjv^ " Since 710 v;g/n»3, 3-hour lYiaxinrjiii concen orations is
loss than ti'.e standard of 1300 ug/in3, second highest 3-hour value per
year, the area would not ba designated as an AOf-:|A for SO-,.
B-ll
-------
Example 3 - Hydrocarbons and Photochemical Gxidants
(a) Assur,;a-that tha area has a current photochemical oxidant concentration
3
of 350 ug/m ,- secpnd highest 1-hour concentration per year, but the
area is not required to have a transportation control strategy. There-
fore, it cannot be automatically included or excluded based on the
criteria presented in Section 111 of th-;- guideline. The area must,
therefore, be subjected to further silVlysis ccnsisting of an estimate
of emissions r::id ro;je-':l'/x: ':.o l.-c 100,000 i.^-s ;:Gr yaar.
/l,\ !?.-,<-.< W ^f f : . r'.-!-;. ,'li:'i-i i- ,- ..-.- i ;<.- !-' , -..'-SriH rrv- " r'' ".-i 1 i n." .'-,-,'-' ..
^ :l\) **-*j
chemical oxid^.nt concentrations. The: c:.\r.-.-cted emission rer'uc.Vion is
giv-;:n by
expected f-"T~, " l/'"'
R = JZP.^P..-:.-l'!0^£cill v iCn..'
expected " 170,f'-0'J
',:-y, ,. :-,!."ic;U: p::;: v,oj. ..;i '.;'; '.>.;;:.;);: ;,'-/;, ':.; :. '... ,;.' ,;..;j uo/i!'"' (0.18 ppr.
second highest 1-r.cur c.o:icen-crai-ion per yoar, Appendix -.1 in!ii-;:ates tfiat
a reduction of 60 percent is required.
CONCLUSIO[|_: Since the required reduction of 60 percent is greater than the
Cixnc'ctc.-d reduction of ''i.2, ?.!.? cr^;^ wcu'i?' i.'' ::
-------
APPENDIX C .- LIST OF TASKS
This preliminary list of tasks is being provided for use by the States
tc outline the work they must do in maintaining standards. The list can be
used to plan and schedule activities and to estimate manpower requirements.
A more detailed description of the work to be done will be provided in the
guidelines which will follow. This list of tasks, however, should not be
construed as a final outline of the plan.
The tasks involved can be partitioned into three major groups:
I. Submit Areas Designated as AQMA'.s
II. Analyze Emissions and Air Quality1975 to 1985
III. Develop and Submit a 10 Year Plan for Air Quality Maintenance
A list of the specific tasks in each of these groups is given below:
I. Submit Areas Designated as AQMA^'s.
The objective of this group of tasks is to determine which SMSAs and
other areas meet the criteria for designation of AQMA's. The tasks are:
1. Assemble information on emission inventory, air quality, emission
regulations, status of compliance and future power plant construc-
tion and fuel use patterns.
2. Apply initial designation criteria, using procedures outlined in
the guidelines, to arrive at designated AQMA's.
3. Conduct public hearings 1n designated AQMA's.
4. Submit designated AQMA's to EPA with back up documentation.
II. Analyze Emissions and Air Quality1975 to 1985
The objective of this group of tasks is to determine which areas are
really problem areas with regard to maintaining standards, and thus which
areas require maintenance plans. This determination will be done by conducting
an in-depth analysis of all the major factors that will affect air quality in
the period 1975 to 1985 using guidelines and models to be issued by EPA.
-------
The tasks to be performed here have a different purpose than those per-
formed in Group I above. In the case of Group I tasks, it was only necessary
to identify AQMA's on the basis of specific designation criteria. However,
Group II tasks must go beyond that and quantitatively evaluate the air pollution
problem in each AQMA for the period 1975 to 1985. The tasks are:
1. Determine baseline emissions for each pollutant for which the AQMA
was designated
a. by source category
b. by location as required by EPA models
2. Identify principal sources (baseline and projected to 1985)
3. Acquire all necessary data to determine growth in emissions from
1975 to 1985 by source category and location for each pollutant.
This would involve acquiring data on:
a. Past trends
b. Planned and projected economic and demographic growth
c. Projected control technology
d. Present and future regulations for new and existing sources
e. Meteorological data.
4. Project a detailed emission inventory for 1975 to 1985 by source
category for each pollutant.
5. Project 1975 to 1985 air quality using calibrated diffusion models
to be provided by EPA. Use these models to:
a. Analyze the impact of indirect sources
b. Analyze the impact of new sources
6. Determine which AQMA's are problem areas and require 10 year mainte-
nance plans. (A problem area is any portion of an AQMA where the
above analysis indicates any standard may be violated at any time
between the date of attainment of the standard and 1985.)
C-2
-------
n!. Develop and Submit a 10-Year Plan for A1r Quality Maintenance
The objective of this group of tasks is to have the States develop and
submit a plan for maintenance of air quality in 1975 to 1985 in each AQMA
determined to be a problem area. The tasks to be performed by the states
can be inferred from the following outline of the content of the plan:
1. Plan overview -- Each State must;prepare a plan overview document
summarizing the contents of the plan. It should include the following:
a. A description of what the plan is about, and why it is required,
so that lay citizens will have sufficient background knowledge
to participate in public hearings on the Plan.
b. A list of documents that constitute the plan, with each
document or portion thereof identified according to the
pollutant and AQMA it deals with.
c. A list of any documents or portions of the SIP, as it will
exist immediately prior to the submission of the 10-Year Plan,
that are being revised, rescinded, or supplemented by the
10-Year Plan, and a brief description of the salient features
of such changes.
2. Required Ue.iionstratioiis
Each State must:
a. Certify that public hearings have been held pursuant to
40 CFR 51.4(d).
b. Demonstrate the presence of legal authority to adppt and
implement the 10-Year plan, pursuant to 40 CFR 51.11.
c. Provide documentation that the intergovernmental cooperation
required by 40 CFR 51.21(a) and 51.21(c) has been established.
Identify the local agencies pursuant to 40 CFR 51.21(b)(l) and
describe the distribution of responsibilities among state and
local agencies in preparing, submitting and implementing the
10-year plan.
r-?
-------
d. Describe how the 10-year plan will provide for coordination of
air quality maintenance activites with other local environmental
protection activites including, but not limited to, the-foilowing
,.u;t ivi Lies.
(i) Water planning
(ii) Solid waste disposal planning
(iii) Comprehensive and environmental health planning
(iv) Review of transportation plans.
e. Describe the procedures designed to ensure that air quality
maintenance activities and programs to be undertaken pursuant
to the 10-year plan are coordinated with all other
activities and programs being carried out in accordance
with the applicable SIP.
f. Provide a description of the resources available to the
State and local agencies and the resources needed to carry
out the entire SIP during the ensuing 5 year period, pursuant
to 40 CFR 51.20. This should include a general description
of the staff that will be required to prepare and implement
the 10 year plan for each AQMA, and a proposed budget showing
the costs of all phases of the 10 year plan.
g. Provide timetables that specify the dates by which classes of
sources must comply with emission regulations. Also, provide
a timetable for Attaining secondary standards in each AQMA
for each pollutant under consideration in the AQMA, and if
the timetable is different from the one already in the SIP,
provide an explanation of the difference.
h. Describe the procedures used for evaluating the air quality
implications of existing land use plans, transportation plans
and zoning maos.
C-4
-------
Maintenance Strategies
a. The State shall provide a detailed description of the control
strategies to be used in the plan pursuant to 40 CFR 51.12(a)
through (d).
For each AQMA and for each problem pollutant within that AQMA
(as identified through analysis in GICDUD II' above), the State
shall describe the specific control strategy to be uss and
shew !:^; that .vr.'-jt.-r.yy v/i'll r, si ma in pollutant levo'ls within f;lu?
stcrc-ar-Js- . .
b. For s Li'oieciieJ Chac ^ill have fin arc.it v/ici- irnpoct on emissions,
the StM:.'i shall provide a cie^nstration o:' that iinoact. All
National /"ibiir/t Air Quality Standards shall be
consiciered. !rt&rro'!ai:ion?rr;ps among control strategies shall
be dis'cMsr-ed. 'U-sdod legal authority th:;t ir.ighl: be irinovative»
unusual or pift'icularly d'i ff'icul ':. to cbt^ln ;,ha'll bs described.
c. Tlie St.c"rc& shall provide results of ?11 -ds tailed anolysis iTiaoe
to doteniiine growth of emission sources in 1975 to 1*35 toqather
with the supportiiiri rational e.
d. The St'.!lv» slui'i : D" '.:... >... .; i 1! i /' j
'"' to IS D'i, . iV./; ir,<; ro f. :
the Swte finds i/;c;y -?.r*i r,(-x-i.ii,iry ana nypl-icabie:
1. Emission density zoninga regulatory system in which the r^ximum
legal rate of emissions of air pollutants from any given land area
is limited by the size'of.the a^ea.
2. Emission allocationsa regulatory system in which the maximum
legal rate of emissions of air pollutants from any given political
jurisdiction or other area is assigned by an allocation procedure
s* -C
-------
and suitable restrictions are imposed if an area uses up its
allocation.
3. Transportation controlsincluding encouragement of mass transit
and strategies discussed in the Preamble to State Implementation
Plan Transportation Controls published in the Federal Regis tar
on November 65 1973, pp. 30606 through -30633.
4. A methndolooy for controlling proposed n;?, or modified buildings,
structures, facilities, or instil 1 all en, Incliicllng municipal v.-aste
water treatment facilities.
5. Fuel and energy conservation objectives.
6. Regulatory and other types of str.'-.togies to i :rt? grate'c-i r quality
consideration into the develor-mort of sroa, point, anc1 line sources.,
»
including zoning and subdivision regulations, sav/er and water connec
tion plans, rezoning and building plans, capital improvident proeron
and ope;i space reservations.
i
7. Mechanisms to integrate air quality ccnsi aerations into revisions of
local or regional development plans, and ;.-.?rhsnisr.is to insure that
development proceed-'; in accordance v-i t!'i duly aciopt-ed p'-^ns.
8. The effects of more restrictive emission cc;itrols aiici ,1 .;.,/ sou ret
blii-r,-ir:p.
11. Any other pertinent str
applicable.
are found to be necessary and
-------
UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
Office of Air Quality Planning and Standards
Research Triangle Park, North Carolina 27711
Februari 14, 1974
: I ]
Recipients of Guideline's for'Designation of Air Quality Maintenance Areas
j
Dear Recipient:
Since the distribution of the OAQPS document, Guidelines for
Designation of Air Quality Maintenance Areas, several questions arose
regarding the validity of the emission factor ratios for carborf?mono-
xide and hydrocarbons from heavy- and medium-duty vehicles (Table V-l,
p. V-4, of the document). Several comments have also been deceived
regarding the reasonableness -of the 25 ppm initial designation criteria
for carbon monoxide on page I.II-2. A review of the questions and Comments
led to a decision to revise these portions of the guidelines document.
A discussion of each of these issues and the revisions are'presented below.
1. Validity of the emission factor ratios for medium- and heavy-
duty vehicles.
The emission factor ratios for medium- and heavyrduty vehicles
for carbon monoxide and hydrocarbon emissions, presented in Table
V-l (p. V-4) of the guidelines, have been revised to reflect the
regulations promulgated in 40 CFR Part 85, which limits emissions
from these vehicles. These regulations and the second edition of
Compilation of.Air Pollution Emission Factors* classify light-duty
vehicles as those with a gross vehicle weight (GVW) of 6,000 pounds
or less and combine medium- and heavy-duty vehicles into -the one
category, heavy-duty vehicles, defined as those vehicles with a GVW
of greater than 6,000 pounds.
Consequently, composite emission factors and emission factor
ratios have been recalculated for heavy-duty vehicles (HDVs), and
Table V-l has been revised accordingly. In the calculation of the
revised ratios, the emission factors for HDVs are taken from Compi-
lation of Air Pollution Emission Factors. The factors for gasoline-
powered vehicles are used for all HDVs, gasoline and diesel.
Diesel emission rates for CO and hydrocarbons are much less than
gasoline emission rates and the contribution of emissions from
diesel HCVs is only a small percentage of total HDV emissions.
Therefore, use of the HDV gasoline emission factors exclusively
will result in a slight overestimation of total emissions. This
appears tolerable since the resulting air quality will err on the
side of not automatically exempting some areas as AQMAs. The
*U.S. Environmental Protection Agency, Compilation of Air Pollution Emission
Factors, Second Edition. EPA Publication No. AP-42, Research Triangle Park,
North Carolina.
-------
revised Table V-1 1s enclosed as Attachment: A. The factors
for hydrocarbon and carbon monoxide emissions must be used for*- ,
analyzing areas for AQMA designation.
2. Initial designation criteria for carbon monoxide
There are two separate problems with the automatic exclusion
criteria for carbon monpxide: first, the revised emission factor
ratios (see (1) above) will change the cutoff concentrations; and
second, the 8-to-l ratio of emissions of light- and heavy-duty
vehicles assumed in the basis for the criteria (Appendix A, p. =>A-1)
is questionable. The latter problem arose because the 8-to-1 'rd'tto
between light- to heavy-duty vehicles was based upon data for entire
AQCRs. For purposes of AQMA designation, however, the, .interest. lies
mainly in urban areas, particularly the central' business districts,
where there is usually a greater proportion. of trucks,; buses, and;/
other heavy-duty vehicles than there are across whole AQCRs,, i Con-
sequently, a variable CO exclusion criteria has been developedrin
which the exclusionary concentration limit depends on the mix of
LDV and HDV emissions on heavily-travelled downtown streets. , The
revised CO exclusion criteria and its derivation appear in Attach-
ments B and C (enclosed), respectively.
As a result of these revisions, several related and supportive revisions
must be made for the sake of consistency. These are described in Attachment
D (enclosed). Although the numerical results in example analyses for hypo-
thetical SMSAs in Appendix B for carbon monoxide and hydrocarbons a^e now
inaccurate, considering the above revisions, the examples themselve^ will
remain unrevised. The examples were developed merely to indicate ttfe
methodology; the revisions do not change the methodology of projecting
emissions and air quality, except that .the mediumrduty vehicles (MDV)
category no longer exists.
Jean J. Schuerteman.
Director
Control Programs
Deyelopment Division
Enclosures
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Attachment A
Table V-l
Emission Factor Ratios*
Year
1970**
1975
1980
1985
1970**
1975
1980
1985
HDV
Carbon monoxide
1.00
0.96
0.94
0.93
Hydrocarbons.
1.00
0.92
0.82
0.79
LDV
1.00
0.59
0.29
0.08
1.00
0.50
0.25
0.07
*Ratio of emissions in given year to base year, 1970.
**For data bases other than 1970 (such as 1971, 1972, 1973) far CO and
HC, interpolate between 1970 and 1975 values.
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Attachment B
Revision to initial exclusion criteria for carbon monoxide, p. III-2,
paragraph A-3.
3. Carbon monoxide:
Use Figure III-l and the following procedures to determine those
SMSA's which can be excluded from consideration as an AQMA:
(a) Estimate the percent contribution of CO emissions from light-
duty vehicles to total mobile source carbon monoxide emissions on
heavily used, central city streets; choose the area where LDV con-
tribution is representative of the local area in the vicinity of
the air quality monitoring site.
(b) Locate the point on Figure III-l corresponding to the highest
measured 8-hour CO concentration in the central city in 1970 and the
LOV contribution to local mobile source emissions estimated under (a),
above. .
(c) If the intersection determined in (b), above, lies on or below
the curve, the area may be automatically eliminated from consideration
as an AQMA; if the point lies above the curve, proceed with the
analysis described in Section V, paragraph V-2.
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tO X IO TO THE INCH 46O732
' X !» '.MCHZS -.«! " '.- i «
myrrhs, a ESSCR co
..ExousroM :RITERIONFR: CARBON
F'THE
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Attachment C
Appendix A - Revised Basis for Initial Designation Criteria
This revised portion of Appendix A provides the technical derivation
of the initial designation criteria presented In the revised Section III
of these guidelines. This revision is to be used in:place of pages ""
A-l and A-2 of the original Appendix A.
A. Carbon Monoxide : ; ,.
The variable exclusion criterion for carbon monoxide presented in the
revised Section III is derived using.the model for CO presented in Section
. - *,,
V of these guidelines. The criterion is in the form of a curve which
specifies, for a given local vehicle mix of light- vs. heavy-duty vehicle
emissions, a critical CO concentration below which an SMSA can be excluded
from consideration as an AQMA, and above which the SMSA must be subjected-
to further analysis using the techniques presented in Section IV arid V
of this document. The derivation of the criterion curve follows:
The CO model presented in Section V of this document is represented
by the three following equations:
FT - FL * Fu + b ;- 0)
PL
O.B(B-b)
FU _ PL GL EL * PH GH EH * PS GS ES
0.2(0 -bj " Tool
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where
FT = Total future (1985) CO concentration (PPM)
F, * Future concentration due to local traffic
F.. = Future concentration due to urban emission
b - Background concentration
B = Baseline concentration (measured or estimated)
P, = Percent emission from light duty vehicles ,(gro$s vehicle
weight'< 6000 Ib)
PU = Percent emission from other mob.ile sources (qross vehicle
weight > 6000 Ib) '
Pc = Percent emission from stationary sources
*) . , '
G = Growth factor over the projection period, G* j4 G ' ;
E = Expqcted ratio of 19S5 emission to baseline emission
for a composite source.
G* = Growth factor for traffic on the local street of interest
The "future" air quality (Fj) will be set equal to.the GO standard,
and the light- vs. heavy-duty vehicle mix will be varied for the local street
condition to yield corresponding critical baseline concentrations.
The following assumptions will be made in applying the model:
(a) Background concentration (b) = 1 ppm.
(b) The CO standard to be considered is the 8-hour standard of 9
PPm (= FT).
(c) The growth of.mobile and stationary sources will be Assumed to
be five percent annually (r) for urban areas. For a 1970 baseline,
the projection period to 1985 is 15 years (n). Thus, the growth
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factor is given by
G = (1 + r)n = (I + .05)15 = 2.08
Therefore, a 1970-1985 growth factor of 2.0 will be used for all
urban sources, so
G, = G,, = GQ = 2.0
L. 11 O
(d) Growth of local traffic (G,* and Gu*) will be less than total
urban growth due to "saturation" of local streets with traffic
currently; assume G,* = G,,* = 1.2.
(e) The emissiqn factor ratios from Table V-l will be used; no control
over stationary sources of CO will be assumed; thus
EL = 0.08
EH = 0.93
ES = i.o
(f) The percent contribution of CO emissions from stationary sources
is "assumed to be 20. The percent contribution of CO emissions from
light- and heavy-duty vehicles for the local street case will be
treated differently than for the urban case. For the local street
case (FL), the P. and PH values will vary; for the urban case (Fy),
assume PL = 20 and PH = 10. In either case, since PS = 20, P. + P.,
= 80.
For the local case, equation (2) is used; inserting the values
assumed above yields
FL = PL (1.2)(0.08) + PH (1.2)(0.93)
0.8 (B-l) ;80
F, = (B-1)[PL (0.096) + PH(0.09)]
80
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For the urban case, equation (3) Is used, yielding
P., - (70)(2.0)(0.08) + (10)(2.0)(0.93) + (20)(2.0)(1.0)
_ 100
0.2(8-1)
From equation (1),
FT a FL * FU + b
Inserting the above values yields
P, (0.096) + Pu (0.90)
H
or
(8-0(0.140) +.1
B- rPL(0.096)
80
Substituting varying values of P. and P.. yields the corresponding
values of B given in Table A-l. From these values, the criteria curve given
as Figure III-l is derived.
There is no initial inclusion threshold for CO. As a result, any
area which is not automatically excluded must be subjected to further
analysis as indicated in Sections IV and V.
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Table A-l
Solutions to Equation
8
Percent of LDV emissions
contribution to total
luuou bireei, venitie
emissions
. 0
10
20
30
40
50
60
70
80
90
100
P,
. L
0
8
16
24
32
40
48
56
64
72
80
PU
H
80
72
64
56
48
40
32
24
16
8
0
B
8.7
9.3
10.1
11.0
12.1
13.5
15.3
17.8
21.2
26.3
34.9
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Attachment D
Supplementary Revisions
1. Page IV-2, Table IV-1, Delete the subcategory "MDV" (for "medium
duty vehicles"), under the "Transportation" source class, from the
table.
2. Page V-3, paragraph (c) should be replaced with the following:
"(c) Percentage contribution of- light- and heavy-duty vehicles and
stationary sources to the baseline year emission inventory (same year
as air quality data). This information should be computed from the
latest emission inventory available locally. If local data is un-
available, the national Emissions Data System (NEDS) data file contains
emission data by county which may be used. The users of equations (1),
(2), and (3) must distinguish between two sets of P. and P values for
the local traffic and general urban cases: in the calculation of F. ,
use the P, and P,, values used in the application of the initial designation
criteria for CO; in the calculation of F.., use the P. and P., values
corresponding to the general urban area."
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