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.
                               1-2

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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
                                1-3

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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.

                                1-4

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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
                              1-5

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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 designated—the 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
                            II-5

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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.
                                   II-6

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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.
                                   11-8

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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:
                               II- 10

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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

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                                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

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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

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        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

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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

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                                       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

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                                  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

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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

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                        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

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                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

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           (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

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     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

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                              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

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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

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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

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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>—TTS—TTJ	
                            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
-------
           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

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 (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
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                                       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

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 (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

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 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.''  ::
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                  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 Quality—1975 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 Quality—1975  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.

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     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

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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-?

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 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

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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 zoning—a 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 allocations—a  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 controls—including 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

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            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.

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     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

-------
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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