EPA-450/2-77-024b
October 1977
(OAQPS NO. 1.2-083A)
                  GUIDELINE SERIES
                 USERS MANUAL
     FOR PREPARATION OF AIR
         POLLUTION ISOPLETH
   PROFILES AND POPULATION
           EXPOSURE ANALYSIS
  U.S. ENVIRONMENTAL PROTECTION AGENCY
      Office of Air and Waste Management
   Office of Air Quality Planning and Standards
   Research Triangle Park, North Carolina 27711

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                      EPA-450/2-77-024b
                    (OAQPS NO. 1.2-083A)
       USERS MANUAL
 FOR PREPARATION OF AIR
   POLLUTION ISOPLETH
PROFILES AND POPULATION
    EXPOSURE ANALYSIS
         Monitoring and Reports Branch
        Monitoring and Data Analysis Division
      U.S. ENVIRONMENTAL PROTECTION AGENCY
        Office of Air and Waste Management
       Office of Air Quality Planning and Standards
       Research Triangle Park, North Carolina 27711
             October 1977

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                  OAQPS GUIDELINE SERIES

The guideline series of reports is being issued by the Office of Air Quality
Planning and Standards (OAQPS) to provide information to state and local
air pollution control agencies; for example, to provide guidance on the
acquisition and processing of air quality data and on the planning and
analysis requisite for the maintenance of air quality.  Reports published in
this series will be available - as supplies permit - from the Library Services
Office (MD-35), Research Triangle Park, North Carolina 27711; or, for a
nominal fee, from the National Technical Information Service, 5285 Port
Royal Road, Springfield, Virginia 22161.
                 Publication No. EPA-450/2-77-024b


                        (OAQPS No.  1.2-083A)
                                11

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                            ACKNOWLEDGEMENTS

     This Users Manual was prepared by Neil Frank, Monitoring and Reports
Branch, Monitoring and Data Analysis Division, Office of Air Quality Planning
and Standards, United States Environmental Protection Agency.
     The  computer programs contained in this manual were developed through
the efforts of many individuals.  Two of the computer programs, LPEM and SPEM
were developed by Yuji Horie, Technology Service Corporation, Santa Monica,
California.  Conversion of LPEM and SPEM to the U,S.E.P,A, UNIVAC 1100 was
made possible through the efforts of Jim Capel, Monitoring and Reports Branch.
The computer graphics program, HYBRID, was developed by Neil Frank.  The
computer graphics program, TRICON, was developed by Martin Cohen, Technology
Service Corporation.  The use of the computer graphics packaae, SYMAP for the
display air quality information was provided by the efforts  of Margaret Swann
and Jim Capel of the Monitoring and Reports Branch.
                                  iii

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      USERS MANUAL FOR ISOPLETH/POPULATIQN EXPOSURE TREND ANALYSIS

1.0  INTRODUCTION
     This Users Manual is a companion document to  the "Guideline on Procedures
for Construction Air Pollution Isopleth Profiles and Population Exposure
Analysis."  The Manual contains an overview of the analysis procedures and
documentation for computer software.
     Three programs (SYMAP, Tricon, Hybrid) can be used to produce computer-
drawn maps for isopleth analysis.  Basic inputs to each program are digitized
study area boundries, data values and spatial coordinates.  SYMAP is a
computer package which produces character printed maps on a line printer.
Tricon and Hybrid are computer programs which produce maps on a CALCOMP
pen plotter or a Textronix cathode ray tube display device.  A description
of these procedures is found in Section 2.4 of the Guideline document.
     Two programs (LPEM,SPEM) are used in the analysis of population
exposure and isopleth analysis.  LPEM designates Long-Term Population
Exposure Model, SPEM designates Short-Term Population Exposure Model.
The programs establish long-and-short-term population exposure statistics.
from air quality information obtained from a network of monitors.  The
details of these models are discussed in Section 3.3 of the Guideline
document.
     As an analysis procedure, the development of useabl'e isopleth maps
from exisiting air quality information is a necessary prequisite to the
estimation of population exposure.  From an operational point of view,
however, the user may elect to first execute the population exposure
programs prior to executing the computer graphics.  This is because the
population exposure programs offers some interesting features which are
applicable to the development of an isopleth map.  For this reason, the
population exposure programs will be discussed first in this manual.

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     For each computer program, the manual will contain a general
description of the run procedure, required data inputs with specified
formats, operating instructions, sample input and sample output.
For all programs except SYMAP, a source listing of the program
statements is also provided.
     The remainder of this report is divided into four sections
which describe the analysis procedure and the computer software.
The four sections are:
     2.0   Overview of the Isopleth/Population  Exposure Analysis
     3.0   Estimation of Exposure
           3,1  LPEM:  Long-Term Population Exposure Model
           3.2  SPEM:  Short-Term Population Exposure Model
     4.0   Computer Graphics
           4.1  HYBRID
           4.2  SYMAP
           4.3  TRICON
     5.0   Program Listings

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2.0   OVERVIEW OF THE ISOPLETH/POPULATIOH EXPOSURE ANALYSIS

      The first step in the analysis is the selection of a regional  map
and air quality monitoring or modeling information for the proposed
study area.  The next step is determining the feasibility of the proposed
analysis based on available information.  This involves locating the
air quality data points on the map and examining the spatial coverage,
as well as the temporal coverage of available data.  This investigation
will yield tentative boundries of the study area and determine if air
monitoring or dispersion estimates shall be used.  Once these steps
have been completed, a hand drawn isopleth map might be developed from
the air quality information at this time.  These items are discussed
in Section 2.1, 2.2 and 2.3 of the Guideline document.

      If  population/land area exposure  analysis  or refined  computer
drawn  isopleth maps are desired, then  some additional  steps are necessary.
This  involves setting  up a network of  artifical  receptor or grid points
of the regional map.   For exposure analysis, population and land area
information is also required.   (See Section  3.1  and  3.2 of  the Guideline.)
The network of receptors is used to approximate  the  spatial distribution
of population and land area,  The spatial coordinates  for air quality
data  points and receptor points are determined.   In  addition, the boundries
of the study area are  numerically specified.  A  Rectangular coordinate
system with the origin at lower left is  preferred.   All data are then
prepared as computer input data sets.   The computer  models, LPEM and
SPEM  calculate air quality values at each of the  receptor points by  in-
terpolation from the existing air quality data.   These estimated values
serve  two purposes.  First, they provide the basis for estimating exposure.
Second, they provide   a convenient spatially refined data base for
preparation of a computer generated isopleth map.  (See Section 2.4 of
the Guideline.)  This map can be produced by one  of  three  computer
programs:  SYMAP, TRICON or HYBRID.
      Figure   2-1  shows a  simple schematic  of the analysis  procedure.

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FIGURE 2-1.   SCHEMATIC OF ISPOLETH/POPULATION EXPOSURE ANALYSIS

/^EGIONAL>
1*1

V MAP J "
















I
POPULATION
LAND AREA
DATA






\


AND









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rtAMLSlLl 1 Y 	 V?
STUDY






7 1
LPEM
SPEM













POPULATION AND
LAND AREA
EXPOSURE
STATISTICS


v
AIR QUALITY
DATA













COMPUTER
GRAPHICS:
SYMAP
TRICON
HYBRID








< 	










Jv/TSDPI FTHl^L

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3.0   ESTIMATION OF EXPOSURE
      The computer programs, LPEM and SPEM, estimate exposure to air
pollution by interfacing the spatial distributions of air quality,
population aid land area.  The air quality information can be defined
by a network of air quality monitors or an output grid from a dispersion
model.  The population and land area information is approximated by a
network of artificial receptor points.  Each point is  used  to  represent
a portion of the total population and land area.  The programs estimate
air quality values at the network of receptors by the use of an interpolation
formula.  Thus, a specific air quality value is associated with a particular
population and land area; this establishes the exposure estimates.  (See
Section 3.3 of the Guideline.)
      Both models require a variety of basic input data sets relating  to the
spatial  distribution of the population density within the study region.   These
are specified by spatial coordinates of a receptor network, associated
populations and land areas.  Another basic input common to both models
is the spatial coordinates of the monitoring sites.  Concerning the air
quality parameters from which exposure is established, LPEM uses average
concentration at the network of stations, while SPEM is based on the
use of percentiles of pollutant concentrations.  As will be shown on
the use of LPEM, it can also estimate short-term population exposure
by using the percent of excursions above an air quality standard at each
site (in place of average concentration).

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     LPEM Long-Term Population Exposure Model
     General Description
     Average concentrations are estiw.ted at a network of receptor  points
     average concentrations at a network of monitoring sites.   For  each
receptor, the program calculates the average concentration from the
.Barest 3 stations by the use of an interpolation formula.   A  penalty
distance can be imposed to account for the influence of barriers such
as mountains.
     Once the air quality estimates are established at the receptor
points exposure statistics are calculated for land area, total population
and sub-populations (such as school age and elderly).
B.   Input Card for Output Description
     1.  Title Card for output tables - Card 1
     2.  Parameter cards - Card 2,3
     3.  Barriers - When barriers are included, the following  are required:
         One card for number of barriers and number of nodes per barrier.   One
         card for each node and penalty distance associated with the node.
         Up to 20 barriers are allowed.  Penalty distance is interpolated
         between nodes and is added to distance between receptors and
         monitors for spatial interpolations.   If barriers are not used, no
         cards are needed.
     4.  Charcteristics of Statistical Areas - One card or record for each
statistical area.  (A statistical area is an area for which area and popula-
tion data is defined.  It contains one or more receptor points.)  Each
record contains a 2 part ID code for each statistical area, values  for
total area and up to 4 subpopulations expressed in percent.  These values
are optional and can be left blank.  The first part of the ID code should
be a sequenced index value for each area.  The second part of the ID code
is not used by the program, but can be used to specify a geographic sub-
region such as county for the users convenience.  Up to 300 statistical
areas are allowed.

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            5. Receptor Coordinates - One card or record for each receptor
point.  Each record contains a 2 part ID code and x,y coordinates for each
receptor.  The first part of the ID code should correspond to the number
of the statistical area in which it resides.  The second part of the ID
code is not used by the program but can be used for the users convience.
Up to 300 receptor points are allowed.
            6. Number of Receptors per Statistical- Area - One card is required
for every 16 areas.  Values may be zero, designating a statistical area
excluded from the study, or greater than zero.  Usual values are 1 for a
single receptor per statistical area.
            7. Site Coordinates - One card or record for each site.  Each
record contains a 2 part ID code and x,y coordinates.  The first part of the
2 part ID should be a sequenced index variable, for each site.  The second
part of the ID code is not used by the program, but can specify a geographic
subregion such as county for the users convenience.  These records can designate
the entire monitoring network even if a specific site did not produce any
data for the analysis.  Up to 200 sites are allowed by the program.
            8. Concentration Data - One card or record for each site.  Each
record contains a 2 part site ID code and one air quality value (e.g., annual
mean) for each year.   Up to 7 years can be input on each record,  Only records
for sites with data need be included.
            9. Population Data - One card or record for each statistical area.
Each record contains  a 2 part ID code for statistical area and a population
value for total population and total employment.  Employment data is optional
and can be left blank.

NOTE:  It is preferable that coordinate systmes be sent up so that origin
is at lower left.

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                                    8
C.  LPEM Input Data *• List of parameters and record format description.
                      LPEM DATA ITEMS - all  fields  should be right justified.
                      It is not necessary to zero fill  any fields.
Card        Variable
Column      Type      1.  Title Card - any parintable character can be used.
1-78                      ~~
                      2.  Control  Card No.  1 (input parameters)
1-5         I             NRECEP - No. of receptor points
6-10        I             NMONT -   No. of monitoring stations with coordinates
11-15       I             NSITES - No. of monitoring stations with data
                                   (3 <_ NSITES <_ NMONT)
16-20       I             NRSA - NO. of statistical areas with population data
                                 (NRSA <_ NRECEP)
21-25       I             (not used)
26-30       I             NPOPL -  No, of population classes such as school  age,
                          elderly  (1 to 7)  See Note.
31-35       I             NHOUR -  1 for hour data;  24 for 24 hour data
                          (not used for LPEM)
36-40       I             NYEAR -  No. of years of air quality data
41-50       F             SYEAR -  Initial year
51-60       F             DELYR -  Incremental year
61-70       F             AQSTD -  Air quality standard
71-75       I             NPDIST - Penalty distance - if penalty distance is  used,
                                   NPDIST = 1
                          Control  Card No;  2^ (parameters for exposure distributions)
1-10        F             XLOW - Lowest concentration value
11-20       F             XINCR -  Incremental value
21-25       I             NINCR -  No. of increments

NOTE:       If percent working population is included in Characteristics of
            Statistical Areas, then setting NPOPL = 6 will generate exposure
            information for workers at place of residence and non-workers at
            place of residence.  If employment data is included in data item
            no. 9 (Population Data), then setting NPOPL = 7 will generate
            exposure information for workers at place of employment.

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Card             Variable
Column           Type                  LPEM DATA ITEMS
                                       3.  Barriers
                                       First
1-2     I                              Mountn - No.  of barriers
3-5     I                              MNODE (1) -  No. of Nodes  for barrier 1.
6-8     I                              MNODE (2) »  No. of Nodes  for barrier 2.

                                       MNODE (MOUNT) - No.  of Nodes for "MOUNTN"
                                       Subsequent Cards
1-8     F                              x (I,J): x coordinate of  Jth node of Ith
                                       barrier
9-16    F                              y (I,J): y coordinate of  Jth node of Ith
                                       barrier
17-24   F                              P(I,J): Penalty distance  assigned to Jth
                                       node of I-th barrier

                                    4.  Characteristics of Statistical  Areas
                                       One recorcTToTHeach statistical  area,  I

1-10    I                              IDRSA (IJ)rfirst part of 2 part
                                       identification code.
11-20   I                              IDRSA (I,2)-second part of 2 part
                                       identification code
21-30   F                              AREA(I)-land area of each statistical  area
31-40   F                              POPCNT( 1,1) -percent of total population for
                                       subr-population "class 1
41-50   F                              POPCNT(I,2)-percent of total population for
                                       sub-population class 2
51-60   F                              POPCNT(I,3)-percent of total population for
                                       sub-population class 3
61-70   F                              POPCNT(I,4)-percent of total population for
                                       sub-popu'lation class 4

NOTE:   If workers by place of residence is used, put this data  item into
        sub-population class 4.

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Card
Column
1-10
11-20
21-30
31-40
1-5
6-10
11-15
•
•
•
70-75
76-80
1-5
•
•
5-10
16-20
21-30.
31 -40
Variable
Type
I
I
F
F
I
I
I
I
I
I
I
I
I
F
F
            10

   Receptor  Coordinates  - One  for each  receptor point,  I
   IRECEP(I,l)-first  part of 2 part  receptor  ID code
   IRECF.P(I.2)-second part  of  2 part receptor ID code
          •V
   RECEP(1V. )-x  coordinate  of  receptor  point
   RECEP(I,2)-y  coordinate  of  receptor  point
   No.  of Receptors Per  Statistical  Area  - One record
   for  16 statistical  areas
   IRSA(l) - No.  of receptors  in Statistical  area 1
   IRSA(2) - No.  of receptors  in Statistical  area 2
   IRSA(3) - No.  of receptors  in Statistical  area 3
   IRSA(15)  -  No.  of receptors  in  Statistical  area  15
   IRSA(16)  -  No.  of receptors  in  Statistical  area  16
   IRSA(17)  -  No.  of receptors  in  Statistical  area  17
   IRSA(NRSA)-No.  of receptors  in  Statistical  area  NRSA
•   Site Coordinates - One record  for each  site,  I
 parameters
   ISITE(I,l)-first part of 2 part ID code
   ISITE(I,2)-second part of 2  part ID code
   SITE (I, l)-x coordinate
   SITE (I,2)-y coordinate

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                                11
 Card   Variable
Column   Type      8.  Monitoring Air Quality Data - One record for each
                       monitoring site with data
                    parameters
1-5       I            INSITE - first part of 2 part ID code
6-10      I            KSITE - second part of 2 part ID code
11-20     F            CM(INSITE,!) - air quality value for year 1
21-30     F            CM(INSITE,2) - air quality value for year 2
31-40     F            CM(INSITE,3) - air quality value for year 3
41-50     F            CM(INSITE,4) - air quality value for year 4
51-60     F            CM(INSITE,5) - air quality value for year 5
61-70     F            CM(INSITE,6) - air quality value for year 6
71-80     F            CM(INSITE,7) - air quality value for year 7
                    9. Population Data - One record for each statistical  area
                    parameters
1-10      I            IDRSA (I,l)-first part of 2 part ID code for statistical
                                   area I
11-20     I            IDRSA (I,2)-second part of 2 part ID code for statistical
                                   area, I
21-30     F            POPL (1,1) - total population for statistical  area
                                    I
31-40     F            POPL (1,2) - total employment for statistical  area
                                    I

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                          12
D.  Sample Run Stream on UNIVAC for LPEM
@ ASG,A  TRRP*POPEXP
@ XQT    TRRP*POPEXP.LPEM
@ ADD    TRR*POPEXP.LPEM-DATA/NY
executable version of program
sample data
@ ELT.ISL  user file.element 1
@ ADD 7.
(3 EOF
saves monitoring air quality data
with x y coordinates
user file (OPTIONAL)
@ ELT.ISL user file.element 2
0 ADD 8.
@ EOF

@ ELT.ILS user file.element 3
@ ADD 9.
(3 EOF
saves estimated air quality data at
receptor points with x y coordinates
on user file (OPTIONAL)

saves population density at receptor
points on user file
(OPTIONAL)
@ FIN

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                                 13
 E.     Description of Temporary Output  Data  Files  Created  by  LPEM
       1.   Monitoring Air Quality Data  with  x y  Coordinates - output on unit 7
           The first record  specifies the  number of monitoring sites, n-|
 with data for the first year of input  data.  The  next n-|  records  contain
 information for those n-|  sites.   For each additional year of input data,
 the above pattern is repeated.
               Record Formats
 Column  Type  Parameters
  1-3     I    No. of sites  with data for  specific year          - first record
 .1-10    F    Concentration value                    """*\
 11-20    F    X Coordinate                                \    one record for
 21-30    F    Y coordinate                                \   f^t'lM
 31-40    I    Monitor number-first  part of  2 part ID code J   the year
 41-50    F    Year                                   	'
       2.   Estimated Air Quality Data at Receptor  Points with x y Coordinates -
           Output on unit 8
          The first record specifies the number of receptor points,  r,
included in the analysis.  The next r records contain air quality
information for those r points.  For each  additional year of input
data, the above pattern is repeated.
          Record formats are the same as Monitoring  Data.
     3.   Population Density  at TReceptor Points  -  outputoon unit 9.
          The first record specifies the number of receptor points  r,
included in the analysis.  The next r records contain population density
Information  for those r points.  The population density is calculated  by
the program for each point that has a defined land area.
          Record formats are the same as Monitoring  Data.

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                                 14
 F.     Description of LPEM Output
       1.  Several tables are produced which describe the input data.
These include characteristics of the statistical areas, population
 data,  receptor  specification data and air quality monitoring data.
 The yearly average of all stations is given.
       2.  For each year of input data, a table is provided with the
 interpolated/extrapolated concentrations at the receptor points.
       3.  For each year of input data, tables of exposure distributions
 are provided for total  population and each  subpopulation.   Population class  1
refers to the total  population  and population class  i  refers  to subpopulation
 Cumulative frequency distributions and frequency functions are provided for
 population and  land area exposure.  Population and land area weighted
 averages are also given.  The value of the frequency distribution for
 air quality value D* is defined as the fraction of land area or people
 exposed to air  quality values greater than or equal to D*.  The value
 of the frequency function for air quality value D* is defined as the
 fraction of land area or people exposed to air quality values greater
 than or equal to D* but less than D* + increment.  Increment is the
 difference between successive table values  of D* as defined in the LPEM
 input.

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LONG
-TERM POPULATION
EXPOSURE
NODEL - N.Y., NiJ.. CONN, AREA

NRECEP • 215
	 NYEAR • 2
CHARACTCR15JUCS .(
NRSA • 215 NHO".. 209 SA« 209 25 AREA
N?..7lO SA. 210 28 AREA
NO. .711 SA. 211 28 AREA
Vf>,«?!2 SA« 212 29 AREA
NO. .713 SA. 213 29 AREA
«"»."7M SA. 711 29 AREA
03. >2l5 S»" 215 29 AREA
12*. BO SUBPOP
I25.90 SU9POP
11". 9Q SUflPOP
I1'.7o SUBPOP
4?. 90 SUBPOP
10". 40 SUaPOP
104.1Q SUBPOP
107. BO SUBPOP
10.10 SUpPOP
25.40 SUB°OP
A.SO SUBPOP
17. OQ SUBPOP
13.7Q SUPPQP
20.40 SUBPOP
15. «3 5U9POP
15. Pa SUBPOP
B.C.O
B.C.O
B.C.O
B.C.O
"fC.O
B.C.O
B.C.O
B.C,0
P.C.O
B.C.O
9.C.O
B.C.O
B.C. 9
«,C,0
B.C.O
B.C.O
IN II
IN II
IM 11
IN II
IN «l
IN II
IM II
IN II
IN 11
IN il
IN II
IM II
IN II
IN II
IN il
IN *l
27,o fl.o 10. o .0 RECEPTORS PER SA
31,0 7.0 5,0 .0 RECEPTORS PER SA
30.0 9.0 |5.0 .•? RECEPTORS PEP SA
27,o 9.5 10.0 .n RECEPTORS PER SA
30.0 8.0 B.O .0 RECEPTORS PER SA
71.0 12.5 7.5 .9 RECEPTORS PER SA
24,0 12.0 .1 .0 RECEPTORS PER SA
29.0 11.0 .7 .0 RECEPTORS PER SA
30.0 4.0 .1.5 ,o RECEPTORS PER SA
19.2 12.1 i<».7 .0 RECEPTORS PER SA
27,0 12.0 7.5 .0 RECEPTORS PER SA
30.0 B.O 10.0 .1 RECEPTORS PE» SA
29.0 B.O i.o ,t RECEPTORS PE* SA
79.0 B.O i.o .0 RECEPTORS PE<» s»
29.0 B.O i.o .n RECEPTORS PER SA
29.o e.o 10. o .0 RECEPTORS PER SA

















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                       LOMG-TERH  POPULATION  EXPOSURE  HOOEL - N.Y.,  N;j.,  CONN, AREA
N9ECEP  •
NYEAR  .
 215   NRSA  >   215    NMQNT
__2	«SYEAR  .  1971.0
.   18?   N5TTES-
 PPLTR •	1J	
103   NPOPL "
ABtTO .    76T0
                 POPULATION  PITA , TOTJH^_P_flP.UyA3LlJN  AND ALL
                                                                         Bv  WORK Pi Atr  i
NO
NO
Nf)
NO
NO
NO
Jta
N0
NO
NO
NO
NO
"0
* J •"
NO
NO
NO
NO
NO
NO
NO
NO
NO
NO
'N~0
NO
NO
NO
NO
NO
NO
*
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•
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• 8
• 9
• 10
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• 13
• 1 t
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r 7 '"
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• 199
• 209
• 201
• 202
• 203
• 201
.205
• 206
• 297
.209
• 209
• 210
• 21 1
.212
.213
.211
.215
SA. 1
SA. 2
SA. 3
SA. 1
SA. 5
SA. 6
SA. 7
SA. 8
SA. 9
SA. 10
SA. 11
Si. 2
SA. 3
SA. 1
SA. 5
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< '. 5 71
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WK- PLACE-
WK. PLACE-
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WK> PLACE-
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                     LONG-TERM  POPULATION EXPOSURE MODEL'-  N.T.,  N.J.. CONN. AREA
                                                                                                                                          I
                                                                                                                                         1
NRECEP
NTE»R
2IS
 2
NRSA •
 SYEAR
              215
                               NMONT
.   IB;
 DFLTR
NSITE5"  103   NPOPL  »   <
                           tip
NO.
No.
No.
Nn,
NO.
Nn.
NO.
»ln.
NO.
NO.
NO.
NO.
MO.
NQ.

1 STATION NO.
2 STATION NO.
3 STATION NO.
it STATION NO,
5 STATION NO.
& STATION NO.
7 STATION MO.
ft STATION NO.
9 STATION NO.
10 STATION NO.
1 1 STATION NO.
12 STATION NO.
13 STATION NO.
)q SJTATjnN, NO.

1
>
3
n
5
&
7
R
9
0
1
2
3
q









•Y COORDINATE
-V COORDINATE
-V COORDINATE
-Y COORD'NATf
•V COORDINATE
-Y COORDINATE
•Y COORDINATE
-Y connnfNATr
•Y COORDINATE
•Y COORDINATE'
•Y COORDINATE
•Y COORDINATE
-Y COORDINATE
-Y COOJJJJJNATf
•
121.00 116. 50 I
i?4. no ift.sn
123.50 It. 50
in4.nO i«;.c;n ^
118.50 16.50
99. nO DO. 3D
94.50 103.50 <
QI, nn 99. nn
87.50 107.00
91 .40 105. 50 4
91.50 102.50
108.50 111.00
109.00 112.00 (
99. CO I01r5f1
^ <
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
MO.
NO.
NO.
NO.
NO.
Nn.
NO.
NO.
NO.
NO.
NO.
10.
MO.
162
163
164
165
166
167
168
169
173
171
1 72
173
17M
175
176
177
178
179
ISO
181
182
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
STATION
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
MO.
NO.
NO.
SO.
MO.
NO.
NO.
MO.
NO.
MO.
162
163
161
165
166
167
168
169
170
171
172
»73
1 7t
175
176
177
17R
179
1 RO
181
182
26
25
26
I
1
»
1
I
33
32
32
33
12
39
38 )
38
33
78
37
28
I 1
<-Y
I-Y
• Y
•Y
-Y
•Y
-Y
-Y
-Y
-Y
•Y
-Y
-Y
-Y
«-Y
'•Y .
K-Y
r-Y
K-Y
t-Y
»-Y
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
COORDINATE
72.50
77.80
66.00
121.00
106.00
95.00
99.50
98.50
61.00
55.00
55.90
61.00
61 .00
32.00
15.00
17.30
62.00
52.30
15.00
97.50
129.00
62.50
57.50
62.00
115.00
135.50
102.00
105.50
106.50
90.00
68.00
68.00
90.00
77.00
57.00
57.00
55.00
72.00
72.50
12.00
72.50
115.00

-------
LONG-TERM POPULATION
EXPOSURE MODEL - N.Y., N.J.. CONN, AREA

NRECEP - 215
NYEAR . 2

NRSA •
SYEAR

215 NMQNT . 182
. 1971. 0 OrLYR
..RECEPTOR SPECIFIC
NSITES*
- 3. ft
AT10N DATA
103 NPOPL • 1
AO«5TO . TC.O

NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NQ.
Nn.
NO.
: Nn.
NO.
1 RECEPT NO.
2 RECEPT NO.
3 RECEPT NO.
1 RECEPT NO.
5 RECEPT NO.
6 RECEPT NO.
7 RECEPT NO.
8 RECEPT NO.
9 RECEPT NO.
10 RECEPT NO.
11 RECEPT NO,
12 RECEPT NO.
13 RECEPT NO,
11 RECEPT NO.
15 RECEPT NO.
1
2
3
M
5 ••:
6 ' '•'
7
B
9
10
1 1
12
13
1 <4
15
1

•



]
1
(-Y COORD -105.00 115,00 TPOPL • WKRPL
-Y COORD .105.00 IS*. an TPOPL - WrRPL
•Y COORD • 115.00 135.09 - TPOPL • WKRPL
-Y COORD -125.00 13^.00 "TPOPL - WKRPL
-Y COORD • 105.00 125,00 r TPOPL • wrRPL
•Y COORD -115.30 125^00 - TPOPL - WrRPL
-Y COORD • • 125,00 125.00 , TPOPL - WKRPL
K-Y COORD • 127.50 117.50 TPOPL - WKRPL
<-Y COORD • 122,50 117.53 TPOPL - WKRPL
«-Y COORD •' 117.50 117,50 ' TPOPL • WrRPL
<-Y COORD -112.50 117.50 TPOPL ' WrRPL
«-Y COORD • 107f50 117,50 TPOPL - wrRPL
<-Y COORD • 102.50 117.50 TPOPL • wrRPL
<»Y conRD • «7,«;n ii5.«;n TPOPL - WKRPI
«»Y C00"»0 • 102.50 112.50 TPOPL » WKRPL
20*39. 0. »RE» • 19?. 70
&3BPI1M. 0. ARE* « 1«3.?0
15195. 0, AREA • 130.20
IOHJ9. 0. AREA • B5.90
25585. 0. AREA • 127.60
9»|9. o. AREA • 130.20
583IS. 0. AREA • 15^.90
<»fc3B7. 0. AREA • Mi. 90
I3516A. o. AREA • 32.40
21121. 0. AREA . 32. AO
21021. 0. AREA • 32.60
1713. 0. AREA • 32. AO
1A13. 0. AREA • ?3.10
m«.|&. n. ipf» • «9.in
6119. Q. AREA • 32.60
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
• : NO,
NO.
NO.
200 RECEPT NO.
201 RECEPT NO.
202 RECEPT NO.
203 RECEPT NO.
201 RECEPT NO.
205 RECEPT NO.
206 RECEPT NO,
2Q7 RECEPT NO,
208 RECEPT NO.
20' RECEPT NO,
210 RECEPT NO,
211 RECEPT NO,
212 RECEPT NO.
213 RECEPT NO.
211 RECEPT NO.
2|S RECEPT NO.
200 39 X-Y COORD
201 37 X-Y COORD
202 39 X-Y COORD
203 39 X-Y COORD
201 39 X-Y COORD
205 39 X-Y COORD
206 37 X-Y COORD
207 36 X-Y COORD
208 39 X-Y COORD
209 25 X-Y COORD
210 28 X-Y COORD
211 J8 X-Y COORD
212 29 X-Y COORD
213 29 X-Y COORD
211 29 X-Y COORD
215 29 X-Y COORD
55.00 25.00 TPOPL • WKRPL
15,00 25.00 TPOPL - WKRPL
35,00 21,00 TPOPL • WKRPL
25,00 lfl.00 TPOPL - WKRPL
17,00 IS. 00 TPOPL • WrRPL
55.00 17.00 TPOPL - WrRPL
18.50 71.50 TPOPL - W*RPL
7.50 82,00 TPOPL - WKRPL
61,00 16.00 TPOPL • UKRPL
75.03 56.50 TPOPL - WKRPL
88.00 57.50 TPOPL - WKRPL
105.00 59.50 TPOPL - WKRPL
120.00 6I.50 TPOPL • wrRPL
132.00 61,53 TPOPL " WlfRPL
135,00 92,00 TPOPL • WKRPL
115.00 92.00 TPOPL - WrRPL
18667. 0. AREA
17560. 0. AREA
iii26. o. AREA
111A. 0. AREA
9U8?. 0. AREA
21«77, 0. AREA
22QOI. 0. AREA
7955. 0. AREA
1519. 0. AREA
181*90. 0. AREA
39r)96. 0. AREA
21791. 0, AREA
1118". 0, AREA
9AOO. 0, AREA
2M33. 0, AREA
21S33. 0. AREA
1 25,80
125. BO
110.90
IM9.70
67.90
100,60
106. 10
107.80
10.10
25.60
6. BO
17.80
13.70
20.60
15.80
15. BO

-------
                   LONG-TERM  POPULATION EXPOSURE MODEL " N.Y., v'tJ,,  CONN.  AREA
                                                »t« QUALITY HON|TO"tNS  DATA

2
5
6
7
q
10
1 1
l>
13
15
16
1 8
70

ST. 10. NO.
ST.ID.«IO.
ST. ID. NO.
ST.lD.MO.i
ST. ID. NO.
5T.t!>.,N



63.0
74.0
61.0
60.0
65.0
62.0
99.0
74.0
72.0
59.0
57.0
69.0





?T*T10N 4VER*6E
79.20
                                              15

-------
                               POPULATION EXPOSURE NODEt'" N0Y00 N0Jo» CONN0  ABES
NffECCP
NVEAR
•
«"
215
2
NRSft a
SYEAR
a
215
1»71
NMOMT
tP
r. |82
OELXR •
NS!TE?a
» 3,0
103
A3STO
NPOPL o
- '5.0
t . • -
INTERPOLATED . EXTERPOLATEO  CONCENRATJOMS AT RECEPTOR SITES
NO. or WALIO MONITORING STATIONS- 183
                                                                                 YEAR  •' l»?»oB
RECEPT
RrcEPT
RCCEPT
RECE"T
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT
RECEPT

NO.
NO.
NO.
NO.
NO.
NOo
NO.
NO.
NO.
NO.
NO,
NO.
NO.
NO.
NOo

o
a
•
o
a
a
a
a
a
a
*
•
a
B
•

1
2
3

-------
'• 1s'' " " • '~*. i •«
LONG-TERH POPULATION EXPOSURF.
"ODEL - N.Y. , N.J. t
CONN. AREA

••' . i
N9ECEP . 215 NPSA •
NYEAR • 2 SYEAR
EXPOSURE

215 NMONT • 182 NSITE5
• 1971.0 OELTR • 3.O
DISTRIBUTIONS FOR YrAR .

• 103 NPOPL • 1
AQSTD • 7C.O
1971.0 POPL CL •


1 TPOPL •


17989ZOH. TARFA • 1IB2B.

POPULATION ANt» LAND AREA EXPOSURE DISTRIBUTIONS
AIR QUALITY VALUE
MS.O
110.0
105.0
too.o
95.0
90.0
05.0
80. 0
75.0
70.0
65.0
60.0
55.0
50.0
15.0
10.0
35.0
30.0
SP«Tt»L
DISTRIBUTION FUNCTIONS
AREA POPULATION
.01?!
.0192
.0219
.0163
.0527
.0762
.1916
.1725
.1*56
.3715
.5034
.6056
.8725
.9168
.9BB6
1.0000 1
i.oooo i
1.0000 1
AVERAGE CONCENTRATION - A*
.0636
.1138
.1590
.1951
.2620
.3MM5
.MI54
.1659
• 5786
,67t«l
.79<»S
.8619
.9353
.9785
.9989
.0000
.0000
.0000
.7623
FREQUtNCY
AREA
.0121
• 0071
• 0057
• DIM
• 0164
.0235
.0251
.0209
.0631
.1389
.1789
.1022
.2169
.1 113
• 0519
.01 11
.0000
.0000

FUNCTIONS
POPULATION
• 0836
.0302
.0151
.0361
• 0669
.0825
ro
• 07M — '
.0503
.1127
.0958
.1201
.0673
.0735
.0131
.0205
.0011
• 0000
.0000

POPULATION AVERAGE CONCENTRATION.
B3.095?

-------
LONG-TERN POPULATION EXPOSURE HOOEL - N.Y», N;j..
CONN* AREA
. • >.-:.- •- • -.

NRECEP • 215 NRSA -
NYEAR •' 2 SYEAR
EXPOSURE

215 NMONT • 182
• 1971. n OTLYR •
DKjTPIRllTtONtf fOR y

POPULATION AND LAND AREA
AIR QUALITY VALUE
1 15.0
1 10.0
105.0
100.0
95.0
90.0
85.0
80.0
75.0
70.0
65.0
60.0
55.0
50.0
45.0
40.0
35.0
30.0
SPATIAL
NSITF5- 103 NPOPL • *
3.0 A9«!TO • 7=1.0
rAR • 197ltn POPL' CL' •

EXPOSURE DISTRIBUTIONS
DISTRIBUTION FUNCTIONS
AREA POPULATION
.0121
.0192
.0249
.0363
.0527
.0762
.1016
.1225
.1856
.3*45
.5034
.6056
.8225
,9368
.9RB6
1.0000
1.0000
1.0000
AVERAGE CONCENTRATION
.0775
.1009
.1314
.1644
• 2232
.3029
.3710
.4205
.5277
.6323
.7633
.8384
• 9210
.9734
.9987
1 .0000
I .0000
1.0000
A&.7623

2 TPOPL •'


FREQUENCY
AREA
.0121
.0071
.0057
.0114
.0164
.0235
.0254
.0209
.0631
.1389
.1789
.1022
.2169
.1143
.0519
.01 14
.0000
• 0000


«?7ontK* '* TARFA • 1)828*
- <-v • • ":

FUNCTIONS V
POPULATION
• 0775
.0234
.0305
.0330
• 0588
•°7" rsj
.0681
.0495
• |071
.1046
• 1310
.0751
.0825
• 0524
• 0253
.0013
.0000
.0000

POPULATION AVERAGE CONCENTRATION* so*94a9

-------
               LOMG-TERM POPULATION EXPOSURr  MODEL  -  N.Y.,  N;j.i COMN, AREA
NRECEP •
NYEAR -
215
2
NPSA •
SYEAR
•
215
1971
NHONT
.0
• 18?
OELTR •
NSITCS-
i 3.0
103
AQSTO
NPOPL
• 75
• 4 •• :.
.0
         EXPOSURE DISTRIBUTIONS TOR   YEAR  •   197t.O    POPL CL • 3   TPOPL •  I84S445.
                                                                                             TABEA •
                                                                                                        11828.
              POPULATION AND LAMB  AREA  EXPOSURE  01STRIBUY!ONS
AIR 9UALITY VALUE
DISTRIBUTION FUNCTIONS
   AREA 	POPULATION
                                                               FREQUENCY
                                                             '  AREA
            FUNCTIONS
            	POPULATION
     115.0
   .0121
                                        .0937
.0121
.0937
     110.0
   .0192
                                        .1317
                                            .0071
                     .0379
     105.0
   .0249
                                        .1920
                                                             ,0057
                    .060*
     100.0
   .0163
                       .2321
                                                                  .01 14
                                                                                 • 04Q1
      95.Q
   .0527
                                        .3081
                                                                  .0164
                    • 0760
      90.0
   .0762
                                         ,3953
                                                                  .0235
                     • 0872
      8S.Q
   .1014
                                         ,4704
.0251
.0751
      80.0
                           1725
                        ,5220
                                                                  .0209
                                                                                 • OS16
      75.0
   ,1«54
                        6431
                                            .0631
      70.0
   .3245
                                        .7301
                                                                  .1389
                     .0867
      65.0
   .5034
                                        .8309
.1789
                                                                                  >|OOR
      60.0
                         .6056
                                              .8907
                                            .1022
                                                                                 .0598
      55. 0
      50.0
   .8725
   .9368
                        .9537
                                                                  • 2169
                                              .9839
                                            .1 143
                                                                                 .0630
                                                                                 .0302
 45.0

"~"To7b~
                         .9R86
                        I .onoo
                         1.0300
                                              • 999H
                       I.0000
                       1 .0000
                                                                  .0519
                                                                  .01 14
                                                                  • 0000
                                                                • 0155
                                                                                       • 0006
                                                                                  ,0000
      30.0
  i.0000
                                        I.0000
         SPAT. ML AVERAGE CONCENTRATION  .  __*A.7623	
         PO<»ULATTOtf AVERAGE'COMCENtRATlON*    85^7902
                                                                  .0000
                     .0000

-------
LONG-TERM POPULATION EXPOSURE MODEL • N.Y., ti'.J,
i, CONN. AREA

: ;*£
• 1
NRECEP • 215 NRSA « 215 NMO*T • 1
NYEAR . 2 SYEAR . 1971. (1 DPL
82 NSITE"i« 103 NPOPL -
YR . 3.n AOSTD . 7R.O
£XPn«ilR£ nt cTot BUT TOMe FOR vrAR . l«7l.n POPi • rL


MR QUALITY
115.0
1 10.0
105.0
100.0
95.0
90.0
85.0
80.0
75.0
70.0
65.0
60.0
55.0
50.0
15.0
10.0
35.0
30.0
SP

POPULATION AN* LAND
DISTRIBUTION
VALUE ARTA
.0121
.0192
.0219
.0363
.0527
.0762
.1016
.1725
.1856
,3215
.5031
.6*56
.8225
.9368
,9886
1 ,0000
t .0000
1 ,0000

AREA EXPOSURE DISTRIBUTIONS
FUNCTIONS
POPULATION
.1317
.1769
.2577
.2882
.3778
.1858
.5668
.6222
.7557
.8036
.91 1 1
.9562
.9798
.9950
.9998
1 .0000
1 .0000
1 .0000
1
• 1 TPOPI •


FREQUENCY
AREA
.0121
.0071
.0057
.0111
• 0161
.0235
.0251
.0209
.0631
.1389
. 1789
.1022
.2169
. 1 113
.0519
.01 11
.0000
.0000




FUNCTIONS
POPULATION
.1317
.0152
• 0808
.0305
.0896
.1080
.08|0
.0651
• 1335
.0179
• |076
• 0150
.0237
.0152
.0017
.0002
.0000
.0000
.J:
? " r
'f r,;

;
:-
- .



ro




, "







AT1AL AVERAGE CONCENTRATION . . .t,t,,.7_k?\_ . , .

-------
                     LONG-TERM POPULATION EXPOSURE MODEL  •  N.Y.,  N.J., CONN. AREA
NRECEP •  215   NRSA  •   215    NMONT •  |8?   NSITES-   103    NPOPL •
NYEAR •    2	SYEAR  •  1971.0	OELYR •  3.0	A8STP  •   75.0
	INTERP^LA_TEO_^.__E.>(TERPQtAtLO	CQNCENRAT I ONS AT RECEPTOR SITES
NO. of VALIO MONITORING  STATIONS- 103
                                                                                  YE»R-I»T«.0
RECEPT NO.
RECEPT NO.
RECEPT NO.
RPCEPT NO.
RECENT NO.
RECE>T NO.
RECEPT NO,
RECEPT NO.
RECEPT NO.
RECEPT NO.
RECEPT NO.
RECEPT NO.
RCCEPT NO.
RECEPT NO.
RECEPT NO.
RECEPT NO.
i i
2 1
3
1
s
6
7
8
9
10
II
12
13
11
IS
16
15.9 ' .
16.1
39.6
39. <»
16.0
12.1
39.1
38.3
13.1
38. S
15.3
ta.s
19.0
13.1
18.1
50.1 ™
BECEPT
RECEPT
RECEPT
RrCE»T
RfCEPT
RECEPT
RECE»T
RECENT
RECEPT
RECENT
RECEPT
RFCE^T
"RECEPT
RECEPT
RECEPT
RECEPT
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO.
NO."
NO.
NO.
NO.
NO.
NO.
NO.
NO,
200
201
202
203
201
205
206
207
208
209
210
21 1
212
71 3
211
215
39
39
39
39
39
39
37
36
39
75
28
78
29
79
29
29
53.
51.
58.
56.
53.
51.1
50.0
q&,7.
70.5
67.3
61.1
53.1 .. .
50.7
<»2t2
<)1.9
39.2

-------
1 --v.
LONG-TERH PO°ULATION EXPOSURE
MODEL • N.Y» , N.J. f
CONN. AREA

t ' «
NRECEP • 215 N"SA .
NYEAR « 2 SYEAR
FXPOSURE

215 NMOKT . 182 NSITES- 103 NPOPL • 1 V .,?;.'
• 1971.0 DF.LTR • 3.n AOSTO » 7*.0 ) : '•"
DISTRIBUTION?' FOR rrAR •

i»7i. n PBPL, rt •

1 TPOPL •

179B920M. TARFA. • 1IB?8. "'' J ^fifj

POPULATION ANO UNO AREA EXPOSURE DISTRIBUTIONS "'••&•
AIR QUALITY VALUE
115.0
110.0
105.0
100.0
95.0
90.0
85.0
80.0
75.0
70.0
65.0
60.0
55. 0
50.0
15.0
10.0
35.0
30.0
SPATIAL
POPULATI
DISTRIBUTION FUNCTIONS
AREA POPULATION
.0000
.onoo
.0000
.0000
.0.000
.0051
.0061
.OtSI
.0360
.0773
.1 19Q
.219|
.3929
.5°6I
.8177
.9329
1.0000 1
I.OOOQ 1
AVERAGE CONCENTRATION • 53
ON AVERAGE CONCENTRATION-
• 0000
.0000
.0000
.0000
• 0000
.0217
• 0309
. 1071
.1700
.2802
.3668
.5031
.6912
.8021
.9328
.9807
.0000
.0000
.7012
61.7273
FREUUENCT
AREA
.0000
• 0000
• 0000
• 0000
• 0000
.0051
.0013
.0086
.0210
.0112
.0117
• 1002
• 1737
.1932
• 2517
.0952
.0671
.0000


FUNCTIONS
POPULATION . n i
.0000 •'• ;"• j
.0000 -I . >M
.0000
.0000
• OOQO
.0217
ro
.0062 ^
• 0765
.0627 :
.1102
• 0865
.1367
.1877
.1112
• 1301
.0179
.0193
.0000



-------
LONG-TERM
POPULATION
EXPOSURE MODEL - N.Y., N.J..
CONN* AREA
;
" -v - 1
N9ECEP • 715 NASA - 215
NYEAR • 7 «YEAR • 1971


POPULATION
NWONT . |82 NSITF*" 103 NPOPL • *•
.0 ftfLYR • t.n AOCTH • TC-ft

ANO LAND
DISTRIBUTION
AIR QUALITY VALUC AREA
115,0
110. 0
105.0
100.0
95.0
90.0
85.0
80.0
75.0
70.0
65.0
60.0
55.0
50.0
45.0
40,0
35,0
30.0
SPATIA_L_Ay_ERA.6E
.0900
.0000
•oooo
.0000
.0000
.0051
.0064
.0151
.0360
,0773
.1190
.2191
.3929
.5"61
.8377
.9329
I .0000
I .0000
YF.AR m • |?74.0 P«PL' fL' •

AREA EXPOSURE DISTRIBUTIONS
FUNCTIONS
POPULATION
.0000
.0000
.0000
• 0000
.0000
.0168
.0218
.0865
• 1412
.2468
.3325
.4634
.6481
.7736
.9215
.9764
1 .0000
1 .0000
> TPOP| .


FREQUENCY
AREA
• 0000
.0000
• 0000
.0000
.0000
• 0051
.0013
.0086
• 0210
• 0412
• 0417
.1002
.1737
• I93J
• 2517
.0952
.0671
.0000
^


FUNCTIONS
POPULATION
.0000
.0000
• oooo
• 0000
•OOOO . :
.0168
•0050 "^
. 11647
• OS47
.1056
.0857
.1309
.1847
.1256
.1479
.0549
.0236
.0000
CONCENTRATION . 53.7042 . . ..
POPULATION AVERAGE CONCENTRATION-    60.M740

-------
if*
•
LONG-TERM POPULATION EXPOSURE
MODEL • N.Y. , N.J. t
CONN. AREA
"* ' • *' ' ! '
•t: •'•'•-• ' '••: . ;e
N9ECEP • 215 NRSA -
NYEAR . 2 SYEAR
EXPOSURE

215 NHONT • 182 NSITES
• 1971.0 OELTR . 3.0
DISTRIBUTIONS FOR YEAR .

• 103 NPOPL • 1
A9STO . 75.0
i97i.o POPL: CL •


3 TPOPL •

•i '
- .; "
• ;.: * ;:4ij$t>
18151115. TARCA • 11828. ^"T'a

POPULATION AND LAND AREA EXPOSURE OI5TR I BUT I ONS . . 'pi!;:
AIR 9UALITY VALUE
1I5.Q
110. 0
105.0
100.0
95.0
90.0
• 5.0
80.0
75.0
70.0
65.0
60.0
55. 0
50.0
15.0
10.0
35.0
30.0
SP»TIAL
POPULATI
DISTRIBUTION FUNCTIONS
AREA POPULATION
.0000
.0000
.0000
.0000
.0000
.0051
.0061
.0151
.0360
.0773
.1190
.219J
.3929
.5341
,8377
.9329
1.0000 1
1.0000 1
AVERAi-E CONCENTRATION - *3
ON AVERAGE CONCENTRATION-
• oooo
.0000
.0000
• oooo
• oooo
.0330
.0105
.1327
.2031
.3197
.1052
.5191
.7381
.8332
.9131
.9812
.0000
.0000
.701?
63.1177
FREOUENCY
AREA
.0000
• OOOO
.0000
.0000
• OOOO
.0051
.0013
.0086
.0210
.0112
• 0117
• 1002
. 1737
.1932
.2SI7
.0952
.0671
.0000


FUNCTIONS •" . . !>l
POPULATION . .s ;':!-.
.0000 "•••f'i
• oooo . :. . ..'' i
.0000
.0000
• oooo
.0330
ro
.0075 °°
«0"22
.0707
.1163
.0855
.|13B
.1893
.0919
.1099 .1
.0110
.0158 . •='-
.0000
*.


-------
LONG-TERM POPULATION EXPOSURE
MODEL - M.Y.i NiJi
,, CONN. AREA


NRECEP • 215 NRSA •
NYEAH • y 5VEA8
EXPOSURE

215 NMONT . 182 NSITES
• 1971. n npi,YR • s.n
DISTRIBUTIONS FOR YEAR *

• 103 NPOPL •
)97U,f) PflPL CL

*
• « TPDPI, •


n«™.

POPULATION AND LAND ARE* EXPOSURE DISTRIBUTIONS
AIR QUALITY VALUE
IIS.O
110.0
105.0
100.0
' : 95.0
90.0
/* . 85.0
80.0
75.0
70.0
65.0
\ 60.0
. .j 55.0
50.0
15.0
10,0
. 35.0
30.0
'V- SPATIAL'
DISTRIBUTION ruNCTIONS
AREA POPUL
.0000
.0000
.0.000
.0000
.0000
,0051
.0061
.0151
.0360
.0773
.1190
.2191
.3929
.5161
.8377
.9329
; 1.0000 1
1.0000 I
ATION
.0000 -
.9000
.0000
•0000
.0000
• 
-------
                                    30

3.2  SPEM:  Short-Term Population Exposure Model
A.   Description
     Concentrations at 8 percent!les are estimated at a network of receptor
points from the same percentile concentrations at a network of monitoring
sites.  For each receptor, the program calculates the concentrations from
the nearest 3 stations by use of an interpolation formula.   A penalty distance
can be imposed to account for the influence of barriers such as mountains.
     After the percentile concentration distribution is estimated at each
receptor point, the fraction of time above a specified threshold concentration
is estimated.  This is termed risk frequency.   Given the risk frequency at
each receptor point, exposure statistics are calculated for land area; total
population and subpopulations (such as schoolage and elderly).
B.   Input Data » General Description
     1.  Title Card for output tables - Card 1
     2.  Parameter cards - Card 2,3
     3.  Percentile concentrations specifies 7 percentiles  P2,...P8 for
concentration input data.  Another percentile, PI corresponds to the maximum
observation  and is calculated by the program as 100/(NOBS  +1).  Number of
observations (NOBS) = 8720 for hourly data and NOBS = 365 for 24  hour data.
Percentile values should be selected so that concentration  values bracket
the threshold value.  If possible set P2, P5 and P7 to interesting percentiles
such as 1, 10, 50 because of tabulated statistics (See 3.2F).  Note that
percentiles are defined as percent of observations greater  than the specified
concentration.
     4.  Barriers * When barriers are included, the following are required:
One card for number of barriers and number of nodes per barrier.  One card
for each node and penalty distance associated with the node.  Up to 20
barriers are allowed.  Penalty distance is interpolated between nodes and is
added to distance between receptors and monitors for spatial interpolations.
If barriers are not used, no cards are needed.

-------
                                31
     5.  Characteristics of Statistical  areas - same as input data for
LPEM (no.4)
     6.  Receptor coordinates - same as  input data for LPEM (no.  5).
     7.  No. of receptors per statistical  area - same as input data for
LPEM (no.6).
     8.  Site coordinates - same as input data for LPEM  (nd.7)
       9.  Population Data - same as input data for LPEM (no. 9).
       10. Concentration Data - One card or record for each site.  Each
 record contains a 2 part site ID code and concentrations values for 8
 specified percentiles.  Only records for sites with data need be included.
       11. If additional air quality data are to be analyzed, repeat SPEM
 items 9 and 10.

-------
                                32
C.    SPEM Input Data - List of parameters  and  record  format  description
Card
Column
1-5
6-10
11-15
16-20
21-25
26-30
31-35
1-5
6-10
11-16
17-24
25-32
33-40
41-48
49-56
57-64
65-72
73-80
Variable
Type
4.
F
F
F
F
F
F
F
10.
I
I

F
F
F
F
F
F
F
F

Percentile values-defined as percent of observations
above specific concentration value parameters
P TILE (2)-percentile corresponding to highest concen-
tration value (
-------
                                33
D.    Sample Run Stream on UNIVAC for SPEM
      @ ASG.A  TRRP*POPEXP.
      @ XQT  TRRP*POPEXP.SPEM          executable version of program
      @ ADD  TRRP*POPEXP.SPEM-DATA/L,A  sample data
      @ ELT.ISL  user file.element 1    saves estimated risk frequency at
      « flnn  o                      >   receptor sites with x y coordinates
      @ ADD  8-                     J    on user file (OPTIONAL)
      @ EOF                       J
      0 FIN
E.    Description of Temporary Output Data Files Created by SPEM
      1.  Estimated Risk Frequency at Receptor Points - output on unit 8
          The first record specifies the number of receptor points,  r,
included in the analysis.  The next r records contain information for these
r points.  Each of these records contain a value for estimated risk  frequency,
x and y coordinates for the point, receptor number and year.   For each
additional year of input data, the above pattern is repeated.
          Record formats are the same as Monitoring Data from LPEM.

-------
                                34

F.      Description of SPEM Output
        1.  The first table describes the input data for characteristics
of the statistical areas in terms of land areas, percent of subpopulations
and number of receptors per statistical areas.
        2.  The second table is a printout of the input x y coordinates
for all monitoring stations.
        3.  Then for each year of input data, the following tables are
produced.
            a.  As a description of the report data, tables are provided
                for total population per statistical area, receptor specifi-
                cation data, input monitoring percent!le data.
            b.  A table is provided for interpolated-extrapolated percentile
                concentrations at the receptor sites.
            c.  A table is provided for percent of time (risk) that receptor
                concentrations exceed multipls of threshold concentration.
        4.  For each year of input data, tables of exposure distribution
are provided for total population and each subpopulation.   Population class 1
refers to the total  population, and population class i  refers to subpopulation
1-1.
            a.  For three percentile concentrations, cumulative frequency
distributions and frequency functions are provided for  population and land
area  exposure.  Spatial  and population weighted average concentrations are
also  provided for the three percentiles.
            b.  Risk frequency distribution and frequency functions are
provided for each total  population and each subpopulation.  These indicate
the fraction of population exposed to levels above multiples of the
threshold concentration for various percentages of the  time.  Spatial
and population weighted average frequency of exposure are also provided.

-------

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55 NHONT - ID
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-------
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r* — i!>. u . • .z ii Juuu
F» = 40. 0 i . .506 4300
', ,f/i !•• = 35. U ,;, .y..v .b /6 43UD
I'VjJj F» '••=. 3 0. 0 ^TfiUfc! .6 30 : ' JD 00
flip:
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!•* = 1 5. U . . BJb «5JZ
F*;= 12.5 :;fr%;".865 :'-J3«J8
I-* ..- 1 U. U .i-.j-t'v V..B87 • JI47
F* .,=... .7.5 -'^i| •;;•?• .963 ";. J529
F* Z ~: 5..U ;ik?:;jj-l. .UUU .J»76
>* , = .>: 3.'0 t^s'^i.OOO ' -.704
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f* =•'«• .8 .*?-' 1.000' . «87»
'F»;^i y',> 5 .^jjl'.^a.ooa,-;- JST
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. .4 b> JJ«»J
' .482 JJ .
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JON FREHUENCY FUNCTION DISTR3BUT1DN FUNCTION FREQUENCY FUNCTION
i THRESHOLD • • THRESHOLD THRESHOLD
D.:lSTUZSTU3STU4STU 1.STD2STD3STD4.5TD. 1STD2STD3STD4STD
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.... .U /5 : .lib - JJUU .DUO ./IS J. 71 .D DO JJOD .1 03 J3 68 J3 O3 J3 OD
4 ».M .030 • .016 .000 .000 .732 .190 .000 4300 J3 43 . 4319 .303 JJ ttJ
•S. •:/!.-• .U2Z - .039 JJUU J3UO ^25 ^97 .UU1 : JJUD JJA J. 07 .003 4300
, ,-;;.'.OlB .. .082 .024 4300 .923 ^72 .018 4300 J. 03 JQ 7* .013 JD CD
; .: .U37 .^ ..047 : .U 93 JjOD 1JJOU A SO .D 68. JDOO JJ 72 JD 73 .050 JDOO
>S:"!i?.000 s.'.123.i..".21S - .000 1.000 .537 .in JJ 00 JD 03 J3 87 .103 4300
' ;•: .DUD .1EO. .1 Z5 : .040 1 JJ OU -Tii .3E8 4337 . JJ CD .2 54 .. .197 JD37
<: .!ij3QO .003 .02543 00 14300 .810 .4 C5 JJ 37 JDQ3 431BJ336 JDOO
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*j/ .000 ;OTB;, .048 f , ,051< 1.00P .328 .171 JD 70 J3 03 .1 C3 .024 JD 14
?: •"'• .UUU.- .U.1/ , .Ub4 JJby l.UUU iJ]UU .5 li ^L 51 JJ 03 4372 .102 4381
: .000 .000 .365 .824 1J30O 1.000 1.0 CO 1 JD 00 JO 03 .000 .427 JJ 49
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-------
                                49
4.0   COMPUTER GRAPHICS
      This section will discuss the use of three computer programs
which can be used to produce computer drawn isopleth maps.
4.1   HYBRID Computer Mapping Pr.%edure

A.    Description
      Hybrid generates a map drawn by a CALCOMP plotter.  It also
allows the user to preview this map on a Tektronix terminal.  The
program sorts data values into interval classes and directs the
graphics device to plot a corresponding symbol at each data point.
The boundries and subregions within the study area are represented
by polygons.

B.    Input - General Description
      1.  Control parameters - Card 1
      2.  Symbols - Card 2
      3.  Interval classes - Card 3
      4.  Geographic boundries - The boundries and subareas of the study
area are described by polygons.  The first card or record specifies the
total number of polygons and the number of vertices per polygon.  The
next cards or records specify the x y coordinates of each polygon.  The
                                 51
                 Hybrid Data Items
Column

1-2
3-4
5-6
7-8
•
1-10
11-20
Type

I
I
I
I
I
F
F
4. Geographic Boundries
parameters
NPOLYG - no. of polygrons
NPTS(l) - no. of points for polygon 1
NPTS(2) - no. of points for polygon 2
NPTS(3) - no. of points for polygon 3
• .
• »
NPTS(NCNTY) - no. of points for polygon
XPOLYG(I, J)-x coordinate for vertex I in
XPOLYG ( I, J)-y coordinate for vertex I in


NCNTYJ
k First
Card

polygon Jl subsequent
polygon jj cards

-------
50
c.
Card
Column

6-10
11-15
16-20
21-25
26-30
31-35

1
2
3
4
5
6
7
8
9
10
1-5
6-10
11-15
16-20
21-25
• 26-30
31-35
36-40
41-45
HYBRID Input Data - List of parameters and record format description
Variable
Type
F
F
F
F
F
I
I

A
A
A
A
A
A
A
A
A
A
F
F
F
F
F
F
F
F
F
Hybrid Data Items
1 . Control parameters


XFACT - multiplicative scaling factor which converts
input data to inches
XOFF - transforms x coordinate to x = x - XOFF
YOFF - transforms y coordinate to y = y • YOFF
XWIDTH - width of map in original data um'temav b_ -. *+
CHAR - scaling factor for character symbol sJ°Ta™' aefault=l
NPLOTl-no. of first data set to be plotted"! used for mul-
NPLOT2-no. of last data set to be plotted 1 b^ieft^Unk^
j for single plot
2. Symbols - used to display classes of data values
parameters
SYMBOL (1) - Symbol corresponding to
(2) -
(3)
(4)
(5)
(6)
(7)
(8)
(9)
V do) V
class interval 1
2
3
4
5
6
7
8
9
10
3. Class intervals - defines categories of data values
parameters

Range(l)-defines class interval 1 as x> Range (1)
(2) " " " 2 as Range(2)
-------
                51
Hybrid Data Items
ocu u
Column
1-2
3-4
5-6
7-8
•
1-10
11-20
1-3
1-10
11-20
21-30
vai lau i c
Type
I
I
I
I
*
I
F
F
I
F
F
F
4. Geographic Boundries
parameters _^
NPOLYG - no. of polygrons
NPTS(l) - no. of points for polygon 1
NPTS(2) - no. of points for polygon 2
NPTS(3) - no. of points for polygon 3 \ First
Card
NPTS(NCNTY) - no. of points for polygon NCNTY,
XPOLYG(I, J)-x coordinate for vertex I in polygon j| subsequent
XPOLYG ( I, J)-y coordinate for vertex I in polygon jj cards
5. Display Variable-This data can be provided by output files
of LPEM and SPEM
parameters
no. of points first card or record
data value
x coordinate ^ one card or record for each point
y coordinate J

-------
                                52
D.    Sample Run Streams
      1.   Sample run stream for CALCOMP generated map on UNIVAC
      @ ASG.CP   user plot file
      0 ASG.A    TRRP*POPEXP.
      @ PLOT     user plot file
      (3 XQT      TRRP*POPEXP.HYBRID/CAL
      0 ADD      TRRP*POPEXP.HYBRID-DATA/LA
      @ FREE     user plot file.
      0 SYM      user plot file.,,PLOT
      @ FIN

-------
                                53

      2.  Sample Run Stream for Tektronix Generated Map on UNIVAC
          Enter the following commands at your terminal:
      @ ASG.A  TRRP*POPEXP.

      @ XQT   TRRP*POPEXP.HYBRID/TEK
      0 ADD   TRRP*POPEXP.HYBRID-DATA/LA

      You will now be in CALCOMP Preview Mode.
      CALCOMP preview on Tektronix requires the use of Tektronix supplied
previewing routines.  These are referenced in "Preview Routines for
CALCOMP Plotters, Users Manual."  The following input statements will allow
the user to preview the sample map on Tektronix.  The questions are generated
by CALCOMP preview software,
      OPTION?  '••   •<"'.-"
      1  (press'Return)
      OPTION?
                  t
      W  (press .Jteturn)  ;      ..     f.
      WHERE WOULD YOU\IKE ORtGIN(X,Y)
      -3.,1.   (pre$s Return)   (or^  -6,0)
      ENTER SIZE (WIDTH.HEJGHT)   '
      7.,5.7                   (or  14, 11.4)
      OPTION?
     C   (press Return)
      Usual values of the origin (x,y) are 0,0.  Negative values are used
here because the data coordinates became negative through re-scaling by the
program.  The size (width, height) specifies the portion of the apparent
calcomp plot that is to be viewed on  the tektronix screen.  The ratio of
width and height must match the actual CRT viewing dimensions.

-------
                                54
 F.    Application  of  HYBRID Maps
      It  is  recommended  that  HYBRID be applied once to the air quality
 data  observed  at the  monitoring sites and  separately to ar quality data
 estimated at a receptor  network.  The combined use of both of these generated
 maps  will  facilitate  the development of a  suitable isopleth map.  The
 monitoring data map will  show actual observed values while the receptor
 data  map  will  provide estimates for areas  between the monitoring sites.
 A suggested  approach  is  to overlay the monitoring data map on top of the
 receptor  data  map, so that both maps can be visually combined.  The use
 of two separate maps will allow the user to easi'ly discriminate between
 actual monitoring data and the interpolated estimates from the monitoring
 data.  The values estimated at the receptor network reflect an averaging
 process and may therefore be quite different than the monitoring data
 in areas of variable air quality.   This apparent discrepancy may be
 viewed as a localized condition and may require the inclusion of a
 separate isopleth on the map.
      For the preparation of the isopleth map from the HYBRID generated  map,
 it is suggested that  5 or less  isopleth  levels  be  used.   This will
 produce a visually pleasing map.  Usually,  an isopleth corresponding to
 the NAAQS is  used. The selection of additional  isopleth values is guided
 by the observed data values.   Isopleth lines are manually drawn between
 symbols  which denote data class intervals above and below the particular
 isopleth level. ^Suppose that symbol  7 denotes  values of 70-79 yg/m3,
 symbol 8 denotes values of 80-89 yg/m3 and  symbol 9 denotes values of 90-99
yg/m3.  An isopleth line for 80 yg/m3  would be  drawn so that it is equidistant
 between  adjacent symbols 7 and 8.   If symbols 7 and 9 are adjacent, the
 isopleth lines would be placed one third the distance between 7 and 9.

-------
                            55
 4.2   SYMAP
            •             .                '   • ,

 A,   SYMAP allows the user to generate printed maps on a
 line printer with overprint capability.  The SYMAP computer
 graphics program allows even those with limited -experience
 in programming to produce several types of maps by using basic
 SYMAP packages with various electives.  Directions for the
 programming of these maps may be obtained from the "SYMAP
 User's Reference Manual" developed at Harvard University.
 However, a beginning user of SYMAP may find it helpful to
 see other examples of SYMAP.  The following material con-
 tains basic run commands and instructions for six example
maps produced by SYMAP.  Each map uses 1972 annual geometric
mean TSP concentrations produced by 122 monitors in the N.Y.-
N.j.-Ct AQCR to illustrate potentially useful spatial dis-
 plays of air quality.  These examples may be aids in setting
 up your own SYMAP package.
     References:

 1.  "EPA GRAPHICS USERS GUIDE HARVARD GRAPHICS USER INFORMA-
TION", Rodney H. Allen, Comp-Aid Inc., July-1975, revised
January 1976.

 2.  "SYMAP User's Reference Manual", James A. Dougenik and
David E. Sheehan, Laboratory for Computer Graphics and Spatial
Analysis, Graduate School of Design, Harvard University, 1975,
revised M«y 1976.

-------
                                 56
B.  Generation of Sample SYMAPexamples
@  ASG.A  GRAPH* HARVARD
0  ASG.A  TR
-------
                                    57
C.  Preparation of Data
     The boundary of the study region can be represented by a polygon.
Seperate subareas such as counties caf* be included.  After the specific
area and boundries have been established, the map should be placed on a
coordinate system with the origin 1n the upper left corner.  An example
base map 1s shown in Figure .4.2-1.  The vertices of each "subarea" are
then put on. cards or Into a£f1le.  They will be used in the A-OUTLINE
and A-CONFORMOLINES package according to the format specifications.

     Data points must then be selected which will be used for the location
of values.  The coordinates for these points should be determined.  These
points will be used in the B-DATA POINTS  package and may also be put on
cards or into a file."    ;

     After the data/points are chosen, values must be assigned for each
point.  The values will be used in the E-VALUES package.

     Three•other"package*: C-OTOLEGENDS, D-BARRIERS, AND F-MAP will be
described with the exajnple maps.  For additional detail and the use of
other packages, see th'e SYMAP manual.
                  / /•  £

D.  Example Maps,-^   •:,

     There are three basic types of maps shown in the following examples
Conformant, Contour;" and Proximal.^  The conformant map is based on the
"subareas" set up in thje A-CONFORMOLINES package and displays a single
value for each subarea.  The other examples here, contour and proximal,
use the A-OUTLINE package.  Contour maps are of a continous nature.  The
values at each data point are used to produce continous interval patterns
which are displayed as contours or Isopleths.  Proximal maps are produced
so that the value assigned to each point is chosen from the nearest data
point  (monitoring site).
     The maps in the following example show the outline of the New York
New Jersey Connecticut Air Quality Control Region.  The area was divided into
sections by counties and islands.  Total Suspended Particulate (TSP)
monitoring locations are the data points and TSP annual mean concentrations
in 1972 are the values used.  (See Section 4.2-E)

-------
                                    50
Figure 4.2-1  Map Used to Find Coordinates for Various Packages in this Program

-------
           ,   „                            59                 Conformant
     -Example  2
       _.A2 A 5£ Ia.3IU2J45S.7aL9C.123S 561SJHL
       W E-VALUtS
                      50.0 	
                      47 .0
                      50 .0_
                      Sl'.O
                     _51.5
                      65 .5 '
                      70.2
                      7S.5
                       __
                      81.7
                      57.0
                      59.3
                      83.1
                      88.4
                     _81..1.
                      S3 .a
                     _5!_'t_
                      47.3
                     _E? -a
                      58.4
                      56.4
                      47.3 "
                      47.3
         99999
         12 34 5E 78 90 12 34 56 78 90 1734 56 78 90
         C- LE BE NO S
           qq IPS	CflNprKTRATIOKS
           SI  107         .  <45
           E 2  1C7	*  4S-6P
           63  107         0 60-75
           E Z  1 C7	?- -	
                    NEW YORK - NEW JCRSEY -  CONN.  AREA ANNUAL .TS P
                   	JJHL2	.	
*
*

k

*.
e 45. ir. 15. leo.
7 , ' .
D 	
< i
. ..8 ... ..... ....
IS" te.2 /C.O
S3 99 9
93935.9 	 	 	 ..
2.  Conformant map which  assigns a single  value to each county  (average TSP from  the
    monitors in each county).   Produced  in  the same run as the  previous map.  Packages
    are repeated for each new  map until  a  new one is found in the  program.
           *1 234567890... are column numbers  placed in the list  for your convenience.
            Do not put  these in program.
           *E-VALUES are  averages from each  county or island.   They are listed in
            the same sequence  as the counties and islands.
           *C-LEGENDS are in row-column  coordinates.  An over-printed character was
            created by  placing a "2" or  "3"  in column 20.
           *Elective 3  designates the number of class intervals.
           *Elective 4  sets  a  minimum value  for range.
           *Elective 5  sets  a  maximum value  for range

                                                 -   in
           *Elective 7 defines  character symbols  for  each interval.
           *999999 must be placed  at the end of each  run  to finish the  program.
           Blank  card

-------
                                                   60
Map  1.    Conformant Base Map
                                                                                             CONNECTICUT
                                                                          .III.
                               .MI...:	:..
                                  pp.:..««:...:..
                                    in. .11......
                                      i...Mm.
                                      •	..i
.11..........
	•..	
......•••....
.....:...in.
                                      LONG ISLIND SOUND


































	 ... ••
                          ..II.
                          ...I.
                          .11..

-------
                                                    Conformant Base Map
12 5» 56 78 90 12 34 56 78 90 12 3» 56 78 9T 12 3K 5C 78 90
 Jfc	NFU YORK - NEW JFRSEY - CONN. ARFA
 *
«	15__	6_.Q	
   99939          	
Example 1.  Simple conformant map showing county boundaries.

            *1234567890...are placed in the list for your convenience.  Column
             numbers—do not put these in program.

            *SYMAP-DATA.NY-BDRY is a file containing the vertices of each sub-
             area polygon.     (See 4.2.E)   -'•"'•£

            *99999 must be placed after all packages.

            *The C-OTOLEGENDS package is used here to place labels for states
             and bodies of water on the map.  Specifications on the cards
             include the number of spaces required for the label, type of oto-
             legend ('P',  point), and the coordinates for the first character
             in the label.   Use map coordinates.  The.F-MAP package
             specifies map options or electives.  After the heading F-MAP, three
             title cards are inserted.  Any of these may be blank.

            *Elective 7 specifies symbols (single or overprint characters) which
             are used for boundaries and interior of the map.

            *Elective 15 notifies the program of the number of lines to be printed
             per inch.  The default is 8 rows per inch and 10 columns per inch;
             however, all  printers are not set to print this way.  Check your
             printer to see if changes need to be made.
             Blank card

-------
Map  2.    Conformant  Map                       62
                                                                                                     CONtJfCTICUT
                                                                                    B»«9BM08MOB9»«9(I«»B0
                                                                                    999fa»«B»»l>""«»O««BBB0
                                                                               .....0B00gH00.0»00«a0a0a00pgagg
                                                                               *«*.«0000aa.0g009900a.g0B000lt000B0g.
                                                                                   . 000g000B0000o0B00p000a0g000B
                                                                                   ..giMMMMPIMMItPBttBIMa
                                                                                   .«.00aP*t0pgpBMB0M0
00flp0B000a0o00B00e090
.Bgi«IB0«BBBggB0BB
          oBg0
    ••1B88B
    .»0
                                                                           Bag»
                                                                           . •••
                           ..gg3Biggagcaga«*«Ka ••••• ••  ••••agogBBaaoag.
                            gggaaeggaggggaBggt  ••••  •  ••••••gggggpBBgg*
                           ..OBjgof jcsoogsssajBsggpg
                           *ggggggB90ggaae9gBg300a0gp
                                               gg
                                              0
                                        .MIBB
                                                                                                          Cn*JCfMTR«TI'

-------
  Example 3
                                                               Contour
    4WTLINE         X
     3A IB SYMAP-OATA.NT-flPRY
     99999
           .CIMIS	_ XX. __
       ID SYNAP-OATA.NY-7ZG-6
     C- CT OL EC EN OS      X
       11   P	in.o    120.c
     CO fW tC TI OU T
    	a   P	ZL-fl	so.c
     •£ U YORK
       10   _P
     MEW JERSEY
       1 7   PE2.	109.55
     LOUS ISLAND SOUND
       11 	g_13 *, ^C	98 . «  A 	
     AT LA NT 1C 0 CE AN
     qgqqq	    r	.'	
    "C-LEGENDS         XX
    	J2_JJB	  CpNCCNTRATIQNS;
       7«  107        .  <«5
       75  1 C7	£„ 1S-6P
       7E  107      '  0- 60-75
       77  107        <  >75
       77  107	2-
       77  107       3>

     Ji- wTu'ES          X~
     99999
     F- !* P
     i2 5) 5G789012315&76 9C 123*58789!:  '
                      i'-' NEK'jElgEY -^CQNN. AR P ANNUALTSP
                      .   ,_,   ^    _
    fe.
        ,
        5    255.
        C    15.	1J5,	15.      ,180.
        7 "        '
    -   36
     91999
The next  two  maps will use -basically the same format,  therefore, only the changes
will be specified for the second-map,,
3.  Contour map with four class  intervals.
        *1234567890... are ..column  numbers placed in the  list  for your convenience.
          Do not put in program.
        *A-OUTLINE--used for contour and proximal maps.  A character (x) in
          columns 21-30 will, delet?  prinit-out of the package.
        *B-DATA POINTS are also on  a file.
        *E-VALUES are on a file.  (See  4.2-E)
        *Elective 7 defines characters  for  each interval and  numbers the intervals
          at the data points on the  map.   In column 27(-) will  not be used in this
          map,  but in the next map.
        *Elective 8 allows continuous  contours to be produced.   Otherwise, a
          blank space indicating a contour line would appear between class intervals
        *Elective 9 suppresses a histogram  which will  be printed after each map
          showing the distribution of values within each interval.
        *Elective 17 stops a printout of data point information  preceding the map.
         This  information is of little  value after it has been  printed out once.
        *Elective 36 sets the number of  values one wiches to  have  for interpolation
         at each  data point.

-------
Map  3.     Contour  Map
                                                            64
                                                                  Peapa  Qfta
                                            PVIIo
                                                             Q»B
                                                            epea
                         pp«B**
                        aaaB«**
                       BOB?****
            •BaaaBBAflBB«B»84****
  .********Ba»BBapB9aaB********«*
  ,********» Bpk«paapia***«*******
 , ..... ***.*pai9aaaeaB. .*****•*..
..... ******** B99Pe6aB********
*....»***« *••* »•******•**•*.*«*
                                                                             Boao9B.iPQ+
           *««**• «***)******9a**
           »** ***»*******(3MH6BBaBBB****()9B appaaaa*****
                                                                                        **B«aBB9B9Raaaaaaaa*
                                                                                        «**ne««oa«R()aaBaaaB*
                                                                                         »*tlB«ftBPO«»B»** B«
                                                                                        , . * * *BP IBBPBPpa*** **
                                                                                        **»?«99
                                                                                        »??*
                                                                                        i*»
                                                                                        9
                                                                              »
                                                                  • iu ««B»n»aaai9aa9aaaa*****«,7»»*»»***»



                                                                   ••••*>4«iBaBaee*7»  **eaaBga****** **»*»*
                                                                  •u«m<|Qae4^BaBaae  caafli0QB*i****** ?***
                                                                  •••anaaaao  saaeaa  aaaeoaaqa********

                                                                 gacPeaoae        v •  • a a fl a

-------
                                      65
 -Example 4
                                         Contour Map with Search Radius
    r-mr
               NEW YORK - NEW JERSEY - CONN. AREA ANNUAL TS P
                             	  1972
                            SEARCH RADIUS = 1 INCH
      12

      «
    99999
                12.0
4.  This map is the same as  the  previous  map with the exception of Elective 35
and is produced by adding another  F-MAP package  with elective 12 (repeats electives
of previous map)and elective 35  which  defines a  one-inch search radius.  The
program will not go beyond one inch  from  each data point to search for data.
The symbol (-) will appear outside of  the search radius range.
1234567890... are column numbers placed  in  the  list  for your convenience.
put these in your program.
                                                                           Do not

-------
                                                  66
Map  4.    Countour Map  with  1  Inch  Search  Radius
                                                                                            C *>*•••£ ft | CUT
                                                             **.****..**f)oaaaQ
                                       ..BBBO.*.*	*.«QB cooonBo1oa*.**.*ao
                                       ...... ..*	 '  ...at: coaaBaBaoto****?a(i
                                       ......	) . . .. . *B"»a oooaaaBiaooOo*??*
                                                                           -.••.ppaqa*
                                                                            •«*••••


                                                                           *M*
                                                         ••••••*•*)

-------
                                         (•-]                              Contour
   Example  5                            b/
     A-OJTHNE         X
    _aA..O? Sj]tHM>-HA.TA.NY-BDR,Y	
     39999
    ..JH.DAIA .P01HT.S.	XX	
     SAID SYHAP-OATA.NY-72G-B
    	39.993	
     c- or OL EG EN os       x
        11    P	10.0.	12C.C
     CO UK EC TI Ol 1
         8    P	2Qifl	6D.JL
t£ W YORK
i n P
i w.n
in.n
     NE W JE PS EY
             PE? -
          ISLAND SOUND
     	1A   P13S.1C	9.S..1—
     AT LA «!T 1C 0 CE AN
     C-l£OE«OS         XX
71
75
7E
76
77
77
107
107
107
1C7
107
1C7
.
*
0
2-
<
2-
<15
6 5- fin
60-75
>75
        77  107        3>
     12 3» 56 76 92 12 W 56 78 50 12 31 56 78 9C



99999
E- to LUES
10.0
E2.
67.
72.
89.
94.

38.0
72.
71.
63.
eo.
X
-l.C
-l.C
-1.0
-l.C
-l.C
-1.0

       0) Sr"
-------
Map 5.  Contour Map with Barrier
                                   68
1
I
1
I
1
: i
. i
. i
, i
i
i
2
i
*
i
0
I
1
it.
j :
1 :
1 * * * *
A •
I *
1 •
I «•
1 . ••
t * * *

T
I
1
1
1
1
1
T
I
(
1
I

':
:
*
*
'.
|
>8
!*****•*****
,*•*»*****»*
(I**********

»« ***«&•••••
* +*•* + •••••••
******* fl • 9 a B.
*+***+* a & a a 9
*******&&9B9
iiirmt!"!
:::::::::.::
•*•»•••*•***•
::::::::::::
:::::::::::

* * *
»«*
• **
• 09
BOM
Rag
aae
1C
t
a
. B
0
..*>.*•
..*.•««
...*•»•
..... ^8
...ft •••
°?""


* *
* * *
.*..^.» apa
*.*t+**P9P aa 9
• '• ' \ ! ***«v Pa a
• ••••• cnNNCCTicitr
B>I9 «»1»
a»ta g>e
09 ••
• •
. .
.*
• •
..
.»
e?
• •
• •
t
i ••
,' ::
• •*• a
H BBBQ 3
d
B
•
P
a
»
» BB
	 »** pap* B 00
. • 	 »** «*9» B 3

* *
* *
* *
H
• A
99
1:
B**
5e
*BB
• BB
oop
000
*?*
OPfl
• 0 BP
»8 BB
* BR
* 8»
, »
, *
* *
* B
0 ? *
03*
00
6
BB
e j
• * a
** B
.. B
aa *
aa *
BQ *
B* 2
7* °
-P B
•B 93
69 aaa«

* **•(••)*•* a
a ***..**OB8« an i
B ****. •BflVMl 0
* ***
99
LOT. t5L«»"> 'OU'JO
***«
*
* *
**
? ***
* ***
*****
** * **
****


-------
   -Example 6                             69
                                                                        Proximal
         OUTLINE          x
       IA U) SYMAP-OATA.NY-6DPY
       99999
     _ft-_PVTA P PUNTS	*x._	
       SAO) SYMAP-OATA.NY-72G-B
     _99J!39
12 3* 56 78 90 12 3* 56 78 90 12 3*5673 90
C- OT OL EG EN OS X
11 P
CO W EC Tl OU T
8 P
tf. U YORK
1C P
Nt W JE 9S EY
10.0
20.0
135.0
120. C
60.0
10.0
         17   P62.      109.55
    '   LOMS ISLAND SOUND
         14   P13H.4Q    98-«
       AT U NT 1C OCEAN	
       99999
       12 ?l S6_789012»567ft.9Q 12305S789C
       U-LE6ENOS          XX
         72  1-G5	  CONCENTRATION'S
71
75
76
7E
77
77
107
107
107
107
1C7
107
•
*
0
2-
<
•> _
<15
US- CO
60-75
>75
         77  107        3>
       E-VALUES           x
       SA U) SYHAP-OATA.NY-72G-E
       99999
      _F- m P	.	
       12 3H 5~678~9C123«l5678"9
-------
Map 6.  Proximal
70
ape
aaaaa
a.«aaaaaa
t>°8paaS«a!aaa*-M*i«
*************>vaaaD±p9Ba;i
...........„..*......**,..**.
*****•»*»»**»*••+*»*»»++**+**+

/-**»**»*************«»««*««ltllM*l«1*^»*
•«•»••••*•••••«••••••••«•««••••••

?°;s;;jji;;:i:::::ttt
its;!".":::::;:::::
;;:!:::: ::::::::••;

* . »•••••• «R*«**PpB a
***2?****«***«l* ««°
* ** •«•«•••« ••• •"•
.»•••*•«*«(«• "• u*v
*••«••*«««• *«• M*»«
= «• •••••'4 Olf U*««*

::;::::
aesQaaq
aaaaoa
• •••
• N«
I
ajo*?**
iu;::;
SH;SH
>ti,***Da PBftflO**** OOBDQ , . , . g
OB* *» * * 2»
vaaa*?7» | p»r. lSt«»)P ^niiMO
.QBB3B*
*.*»B
?**• ****
*** •**»****•*.
«. * »**?*******».

ba^aa * ********************+******************
                                 • 0 BBB •*>

-------
                                    71
   4.2-E  Data Listings for SYMAP Examples


TRRP*StNAP-OATA.NY-BDRV
1 A
2
3
4
5
6
7
8
9
10
11
12 A
13
14
15
16
17
18
19
20
21
22
23
21 A
25
26
27
28
29
3CJ
31
22
33
34
35 _..,..._
36 A
37
38
39
to
m
42
13
44
45
16
47
48
49
50
51 A
52
53
54
55 	
5b


40.0
52.0
62.4
71.0
79.0
78.5
63.7
62.3
59.8
47.4
40.0
52.0
69.6
70.0
85.1
87.6
84.0
95.0
85.2
70.0
71.0
62.4
52.0
95.0
84. 0
87.6
113.0
121.3
119.4
109.0
101.7
99.9
93.9
92.2
95.0
99.9
101.7
109.0
119.4
12C.O
126.3
130.9
134.8
134.4
119.6
114.2
11C. 5
107.0
100.0
99.9
114.2
119.6
134 .4
135.2
142.2
151.5


38 .5
21 .5
43 .4
45.3
54.5
56 .0
53.2
43 .0
45 .1
48 .8
38.5
27 .5
13 .8
4 .0
4 .0
11 .6
•a .0
26.8
38 .7
40 .3
45 .3
43 .4
21 .5
26 .8
23 .0
11 .6
6 .6
W .8
20 .8
30 .U
25 .0
31 .U
34 .(j
30 .4
26 .8
31 .11
25 .0
3U .LI
20 .8
It) .0
17 .7
28 .0
28 .U
JU .2
45 .U
45 .6
43 .1
46 .3
49 .1
31 .C
45 .6
45 .U
JO .2
26 .0
18 j&.
21 .6
        col
11-20     21-30
Note that for each area, A, the first and last vertices are the same.

-------
72


57
58
59
' 60
61
EZ
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
IOC
1C1
1C2
103
101
105
106
107
108
109
11C
HI
112
113


141.3
144.0
146.8
149.5
149.5
129.5
117.0
112.0
118.4
114.8
114.2
A 100.0
107.0
110.0
110.0
100.5
95.0
96.2
97.2
100.0
A 85.2
92.2
93.9
99.9
ItlC.O
97.2
96.2
91.7
85.2
A 7C.O
85.2
91.7
79.0
71.0
70.0
A 83.3
87.2
87.5
94.0
94.0
81.0
76.9
85.0
83.3
A 47.4
59.8
62.3
63. 7
78.5
79.0
	 83.3
85.0
78.9
81.0
62.3
47.4
A 47,<»


33 .U
44 .9
b6 .9
56.9
bl.O
66 .0
66 .U '
b4.0
&2 .7
55 .5
45 .6
49 .1
46 .3
46.7
49 .0
60 .5
59 .0
50.2
49 .4
49 .1
38.7
3U .4
M .0
31 .C
49 .1
49 .4
50.2
52 .6
38 .7
40 .3
3B.7
52 .6
54 .5
45.3
40.3
b4 .L
b3 .4
55 .0
55 .U
58 .U
65 .3
63 .5
58 .U
54 .U
48.8
45 .1
48 .0
53 .2
56 .L
54 .5
54 .L
58 .U
b3.5
b5 .3
-U .8 '
48 .8
48 .8

-------
73


114
115
lie
117
118
119
120
121
122
123
124
125
126
127
128
129
13C
131
132
133
131
135
136
137
138
139
1«»0
111
112
113
114
115
116
117
118
119
15U
151
152
153
151
155
156
157
158
159
16C
161
162
163
It4
165
166
167
Ib8
169
170


62.3
46.8
30.0
47.4
A 29.8
36.2
50.7
61.4
63.7
74.0
62.0
52.4
4C.S
34.0
26.6
29.8
A $9.7
81.0
79.5
74.0
69.7
A 81.7
89.5
92.0
92.0
81.0
69.7
81.7
A 99.0
103.0
102.0
98.2
95.9
87.0
92.8
99.0
A 87.0
95.9
98.7
97.0
89.0
87.8
. 83.0
83.0
87.0
A 83.0
87.8
89.0
97.0
98.7
100.0
105.E
106.5
99. 7_
95.9
84.0
73.9


72 .8
72 .8
b/ .0
48 .8
68 .5
72 .4
74 .5
J4 .2 . . .... . _
72 .U
8U .0 	 	
92 M
85.5
103 .5
99 .0
99 .0
68 .5
72 .0
70 .0
73 .0
80 .0
72 ,U
bfe .3 '
62 .U
61 .8
63 .U
70 .0
72 .U
66 .3
bl .0
64 .U
72 .2
72 .3
75.3
68 .U
64 .0
61 .0
b8 .0
75 .3
81 .U
84 .0 _,
84 .0
86 .4
U2 .li
7U .1
63 •&
82 .U
86 .4
84 .U
84 .0
81 .0
83 .b
b7 .5
be .0
88 .5 . ..
1 U6 .(j
1 U6 .L .. 	
1 IU .U

-------
                                            74
171
172
173
174
175
176
177
178
179
180
181
182
183
181
185
186
187
188
189
190
191
192
193
191
195
196
197
198
199
200
2C1
202
203
204
205
206
207
208
209
210
211
212
70.0
75.2
83.0
A 73.9
84.0
95.9
82.5
67.1
65.5
72.0
69.0
69.0
73.9
A 26.6
34.0
40.5
52.4
62.0
46.0
48.0
.31.0
4.8
26.6
A 100.9
102.0
1U3.5
1U3.0
IOC. 9
A 99.0
100.C
103.0
102.0
93.0
A 97.0
99.0
99.5
98.0
97.0
A 93.0
94.0
97.3
96.3
99 .0
85 .5
B2.0 ' '
1U3 .0
106.0
106.0
1 b5 .0
155 .0
130.5 ..-..-......,
120 .0
116 .0
103 .0
103 .U
99 .0
99 .0
103.5
85 .5
92 .0
126 .0
129 .0
132 .0
101 .0
99 .0
91 .U
91 .2
66 .0
84 .9
91 .0
107 .1
1U7 .9
95 .b
95.0
1 07 .1
126.0
125 .7
115 .0
1 15 .0
126 .0
137 .8
1 38 .0
1 2d .7
1 28 .U
213
                           93.0
                                    137 .a

-------
75


1RHP»SYMAP-OATA.NY-72G-B
1
2
3
4
5
6
7
8
9
10
12
13
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
3C
31
32
33
34
35
36
37
38
39
41
42
43
44
45
46
47
48
49
50
51
53
54
5E
56
col


43.5
43.5
45.5
24.5
43.5
59.5
56.5
61.0
54.5
57.5
49.0
48.0
55.5
54.0
51.0
50.0
41.0
94.5
88.5
90. 0
132.0
101.5
101.5
85.0
85.0
79.0
86.0
88.0
87.0
88.5
98.5
121.0
139.0
8U . S
88.5
11C. 5
83.5
75. D
75.0
IDS .U
99.0
94 .b
' 102.5
110.5
84 .3
6Z.U
80.0
88.5
95.0
89.D
74.0
97V5
92.5
97.0
82.0
97 .5 "
t
11-20
Y


124 .0
1 24 .0
123 .5
106 .0
118 .5
92 .U
94 .5
91 .Li
91 .5
94 .5
108 .5
109 .0
99.5
98 .5
99 .5
96 .5
129 .0
49 .5
6D .5
52 .0
64 .0
24 .5
48 .5
43 .U
45 .0
65 .U
68 .5
47 .5
feU .5
bS.5
47 .L)
23 .5
41 .5
a ..•;
53 .5
31 .U
47 .5
b5 .5
54 .U
44 .LI
44 .U
Mb .b
19 .5
43 .U
61 .5
62 .5
70 .5
1 U7 .U
95 .5
92 .0
92 .0
8b .5
87 .U
95 .0
84 .C "
' f '
21-30
X

-------


57
58
59
60
61
62
63
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
8?
88
99
90
91
92
93
94
95
9?
98
99
ICC
ra
102
- - '103 "
105
106
107
108
109
110
111
112
113



114
115
lib
117
118
119
120


ac.o
66.0
87.5
94.5
75.0
81.0
69.5
84. S
84. S
53.0
45.5
33.0
61.0
53.0
95.0
62.5
71.0
49.5
69.0
81.0
87.0
76.5
51.5
84.5
81.0
56.5 •
59.0
67.0
78.5
76 .0
87.0
85.0
73.0
82.5
79.5
94.5
87.5
81.0
83.5
86.5
87. D
93.0
90.5
79.0
•"" 	 " ""• 	 9~s To 	 •"-
95.5
94 .0
97.5
96.5
IOC. 5
102.0
108.5
88.0
77.0
73.0
83.0
84 .5



84.5
9C.5
97.5
7C.C
92 .0
1C3.C
76

83 .5
84 .5
% .5
103.5
99 .5
1U4 .0
81.5
68 .0
68 .0
76.0
75.5
71.5
89.5
67 .0
90.5
88 .5
16U .U
54 .S
129 .5
1 J9 .0
119.0
118 .0
78 .5
77 .5
85 .0
77 .5
~ 82.5 "~" "" """
73.0
68 .0
72 .0
78 .0
65 .5
72 .5
77 .U
78 .5
6«» .U
68 .0
69 .1!
80 .5
85.5
bS.O
7U.5
73.5
73 .C
E>3 .LI
76.5
82 .U
51 .5
58 .0
57 .5
46 .5
64 .U
77 .U
77 .0
71 .5
74 .0



7U .5
83 .L
62 .b
72 .5
77 .li
61 .u
St. .0
IS .(j

-------
TKRP»SYMAP-DATA.Nr-72G-E
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
3C
31
32
33
34
35
36
37
38
33
4C
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
51.0
56.1
91.7
84.1
43 .4
56.9
6C.6
56.4
38.6
70.4
54.3
63.0
127.1
112.5
74.1
68.3
44 .5
79.0 .
72.0
66. 0
68.0
54. C
63.0
114 .0
34.0
81.0 '
113.0
48.0
83.0
75.0
7C.O
41.0
35.0
47. C
134.0
37.0
57.0
56.0
56.0
56.0
66.0
66. C
47.0
58. 0
80.0
42.0
95.0
52.0
54.0
52.0
68.0
73.0
56.0
57.0
60.0
8C.O
          t
col     11-20

-------
78
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
71
75
76
77
78
79
80
81
82
83
84
65
86
B^
88
83
90
91
32
93
ai
95
96
97
98
93
100
1U1
102
103
104
105
106
107
108
109
110
111
H2
113



lit
115
" 1 16
117
118
119
12U
121
122
43.0
57.0
49.0
58.0
43.0
45.0
64.0
76.0
83.0
47.0
49.0
74.0
53.0
54.0
73.0
64.0
34.0
60.0
57.0
47.0
47.0
47.0
41.0
30.0
43.0
• 67.0
64.0
72.0
79.0
38.0 .
6C.O
83.0
7i.U
67.0
68. U
87.0
IUZ.L!
94.0
57. L1
67.0
87. U
82.0
79. U
9G.O
7J.U
64.0
58. D
78.0
84 .0
60.0
71.0
59.0
73.0
34.0
72.0
78.0
76.0 , -



9G.O
65.0
	 7C.O ~ 	 ~
67.0
81.0
131.0
66.0
60.0
60.3

-------
                                79
4.3     TRICON
        TRICON is not available on the UNIVAC at this time.   The  use
of TRICON will be documented in an update to this manual.

-------
                               80
5.0     PROGRAM LISTINGS

-------
                        81
        Long-Term Population Exposure Model  (LPEM)
               Subroutine Hierarchy
                      MAIN
       1
    POLUTE
       1
DSPCTR
    SEARCH
MAIN:     Reads program control parameters and input data.
          Calls subroutine POLUTE and DSPCTR
POLUTE:   Computes a spatially interpolated annual mean concentration
          at each receptor point.
          Calls subroutine SEARCH.
DSPCTR:   Computes a distribution of area and that of the population
          exposed to various levels of annual mean concentration.
          Computes a spatial average concentration and a population
          weighted average concentration.
SEARCH:   Finds the three monitoring stations nearest to each
          receptor point.

-------

TR R» «P OP EX P.
1
2
3
5
6
7
8
9
10
11
12
1-5
i*
16
I/
20
21
22
23
24
21>
26
27
. 28
30
31
32
3^
3b
36
.i/
38
•PS

LPEM



C
c —

C
C
C
C
C
c
c
c
c
c
c
c
c
c
c
c
c
c
c
c
c
c
c
c
c
' '...'.'. • .. . . ... '...'..•- •',... . . :, . DA
^
COMMON AUbTU.NKLCLP .NMONT.EPS .R EC EP (3 00 *2 It NS 5tf ti 200) .R AN K( 200) •
lSITE(200t2)tCMGI2OO) .RPOPL (300»2I* AfTf 300) .DENSTYt 300) .TAREA.TPOPL
2 *CFRQ(300ff 8) tF (300»t» 1* NO BS *C PO UU (30D It XLOUtXJNCR tNINCR
DIMENSION AREA (300 1* POPCNT (300 *4 )• IR EC EP (300*2 I* IRSA (300 It PO PL (30
3 5* 21 tlOBSI 9) tlSITE (2 m *2 1
DIMENSION ID RS AC 30 0.2)
DIMENS ION ST AA VG (10) *K VA U D( 10 !• YY CL 01
STORAGE FOR MEAN CONCENTRATIONS F OR A IL YEARS
DIMENSION CM (2 CD .10)
DIMENSION TITLE! 131 .
COMMON MNOOE (ICDlf X( J) .1 DO). Y( SD .1CD ). p( 3T.10D It H3UNTN .NPOET
DATA IOBS/8760ff6257*203t2a;8*g992*33B9»3S5*261»2)4/
EP S r 1* E- ID
•''•-. ' , co ;
. . . . ..... ..... .... - . . ., . ^
EXPLANATION OF PARAMETERS
AUSTD = AIR QUALITY STANDARD ( /N Y UN IT )
NKLCEP - NO* OF RE. Ot PI OR POINTS (01*11
NHOUR = SAMPLING INT ERVA L IN H OJRS ( 1 OR 2 4)
NSITES = NO. OF AIR MONITOR TH G ST AT IP NS ( GE .3 ) HI TH D AT A
NMONT = NO. OF A IR MON ITOR IN G ST AT IP NS W U H CO OD IN AT ES (G E. NM CNT)
NY EAR = NO. OF YEARS TO AN\Llx£ (EACH YEAR MUST HAVE BOTH PQPLATI
ON AND AIR QUA IITY! D AT A) ( 01 a )
SY EAR .~ INITIAL YEAR
DELYR = INCREMENTAL Y E»«
Nl IME = NO. OF TIME CATEGORIES SU CH AS WEEKDAY /N D WEEKEND (1 TO
6)
NKiA rNO, OF K LG 10 NA L ST AT E> 11 CA L AREAS IN WHICH CURRENT OR PRO
-JE CT EP POPUL ATIO N ST AT 1ST! CS AR£ AVA IL « LE ( GE .1 )
NPUPL. - NO* Oh POPULATION C LA SS SUCH AS S CH 00 L— IG E AN'D . EL D£ RL Y (
1 TO 7)
NObS r NO. OF POJ»Sl fl_ E OB SE RV AT IONS • t. 6. * 87 61) FOR ANNUAL HOUR ;
-LY CONCENTRATION PERCENTIU STATISTICS ; .......... !
X LUH — L UWtbI U UN tt Nl KA I JLON V ALUt 1* OK U I> IK. IB UI JW Nb
XINCR = INCREMENTAL VA UJE FOR 01 ST tt BU Tl ON S ]
NINCR - NO, Oh INCRLHtNIS FOR DlSf U. BU U ONS - . • 	 ";

-------
10 -
•n
42
- If
11
tl
50
51
52
53
5«f
55
56 .
57
58
60
61
62
63
6f
bb
66
b7
68
53
70
71
72
73
7b
76
71
78
73
C
C
C
c
c
c
c
c
c
c
c
c
c
c
c
e
c
c
c
c
c
c
c
c
c
c
c
c*






EX PL AN AT ID N OF I N3 UT D AT A
AREA CD = AREA OF EACH RSA I N SQ . KI .
KOPCNI II tJ 1 = SUBKUH. Al 10 N Ft R CENT OF TOTAL FO RJ LA Tl ON AT EACH
RSA IN 1970 OR OTHER C EN CUS YEW
iKtU tK lA't J I - Kt li.Pl UKJ-UtMji-JtAliUNNUMJtK
RE CEP II »J) = X-Y COORDINATE 0 F EACH RECEPTOR
IK5A lltJI = NO. OF RECEPTOR POINTS ASSIGNED FO A GIVEN RSA
ISITEIIJ = AIR MONITORING STATION I. D. NUMBER
SITE llrjl = X-Y COORDINATE CF E AC H ST AT ID N
POPL CI»JI = TOTAL POPULATI ft A NU TOT*. EMPLOYMENT AT EACH RSA
IN EACH YEAR
*
— W I£N PENALTY DISTANCE IS USED « M> DIST =1 1 THE TO LL CU IN 6
ARE REQUIRED -
MOUNTN -NO. OF GEOGRAPHICAL BARRIERS TOBEINCLtOEDIN S
SPATIAL INIERPOLAT10N
MNODEl I! = NO. OF NODIS USED TO APPROXIMATE LOCATION OF EACH
GEOGRAPHIC^. BARRIER
XC Jt J) AND YtltJI =X ANDY COCRDI NATES OF J-TH NO DE 0 F I-TH
MOUNTAIN
R ^ J) : = PENALTY DISTANCE AS SI GM ED TO THE J-THNODE OF I-TH
riOUNTAIN.
NT=0 .
******************************************** ** ************ ** ** ** ** *
RE AD 15^2 16 If TITLE( I! tl =1 tl 3)
ZJ.6 FOKHAI I13A6I
100 FORMATUH1»25X ,13A6/.// 1
It AD 15 iZlOlNRECEPt NMONTt NS IT E5 tN R S A» NT 3H Ef NP OP L» W OU Rt NY EA R» SY EA R»
3DELYR» AQSTDf NPDIST
2lU FOKM Al 1815 t3 Fl U. It 15 1
RE AD ( 5 t2 11 )X LO Ut XI NC R» NI NC R
Zll FUKh Al IZMU. U> Ji> I
200 FORMATCSXt SHNRKEP =*I5t 3X.6HNRS A =* I5»3X. 7H WCNT =• 15 .3X» 7HNS ITES
l=tJbt3X tTHNPOPL =fl 3» 3X »/ »5X» *»NY EA R =» 15»5Xt

-------
80
01
82
83
85
86
87
88
90
bl
92
9*
96
bf
98
100
1U1
102
io*
106
1 U7
108
ioy
no
a. IA
112
Hi
1X5
116
xi/
. 118
iia
2 7 « YE AR = tF 8. It 5X V7 H) B. YR = tT & !• S( t7 W flSTO = tF T» I/ 1
C . . - • . -
IF (NPD 1ST. EG .0)60 TO 1 111
READlStlOOll MOUNTNt (HNOCE (I ). 1=1. MDUNTN »
1001 FORM AT II 2t 20131
DO 33 I=ltMOUNTN
MNDrMNODEIIl
DO. JZ J=lf MND
R£AOt5.2001) X (ItJl* Vf ItJltP II »JI
ZUU1 FORM AT UF8 .2 1
PI IfJl =10. * P(I.J) .
3Z CON1 INUt .
33 CONTINUE
11 11 LUNI INUt.
Wl 1TE 16 rlOOlf TITLE! D tl =1 tl 3)
WK ll El b» ZUU)NHEP EP tNRS A»NMONTt K> JLI t5 tNPOPL tNIt *R tS YE /R »D EL YR t
+ AQSTD
V« 11 Et bf 21 5 J . . .
215 FORM ATI 2 Xt • CHARACTERISTICS f STATIST ff A- AREJS'Vyl , g
DO. 1U FltNKbA
C* ** ** ****** ************************-****** ** ** *»«*«*«*** ** ** ****«**«*
Rt AU15 tZ20)f IDRSAl It Jl tJritZl t AR EA tl }t P OP 0iT< It Jl tJ =1 1* )
220 FORMAT 1 2IUO tl OX tSFl 0. 21
1CJ CONI INtt
C* ******************************************** *» ************** ** ** ** *
DO 201=: It NKtKEJ' «
iWU FUKM Al IZIlUf 3- 1L) »Z 1
20 CONTINUE
C* *******************************************************************
READJ5f2*l01 aRSAl 11 tl =1 tNRS A]
2«t 0 hu kh A! i i lt> is ii .
DO 11 I=lfNRSA
V»H ll L< bf ^^b) If 11 Uk^A U fJ If J= It 21 »A B- Al U tl PO H. NI U. tJ )t J= If *JJ tl RS Al
- ' ' in. ' .. . ' . ••-.-•. '
225 FORhAi (ZXf *NO. =? tUt .SC t*2»A=* tZX* tSXt "ARE A =• tF 6* Zf » t
3«SUBPOP AfBtCtD lIN'W = /t W 7. 1» 8X t« ft CEPTORS FE R SA = »* 13
i i
U CONTINUE
DO JO 1 r ItNHONT

-------
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
20
21
22
23
21
25
26
27
28
29
30
31
32
33
31
35
36
37
38
33
11
12
13
15
16
17
18
19
50
bl
52
53
51
55
56
5/
53
RE
AD 1 5. 2 50) (ISITEtltJ It ' J= 1,
2)
,(
SITE
(I.J
)t
J=l»
2J
250 FORMAT 1 21 10 ?2 Fl 0, 2)
30 CONTINUE
C
C — REA
c* ******
DO
257 FO
D MEAN CONCENTRATIONS FOR
fL
****************************
31 I=ltNSlTES
AO 15*2 57 IINSlTEtKS U Et (C HI
RMATC2I5t7F10,21
IN
L
**
Si
YEAR
****
TL»J
S
****
It J=

*»
it

** **
NYEA

** ** ** ***********
R)
31 CONTINUE
c .•••••
C EN
C
YE
WR
.WR
* A
WR
265 FO
3Y
C* ** ** **
26 O
275 FO
3
50
WR
WR
+ A
UK
c* ** ** **
215 FU
DO
D TIME INDEPENDENT INPUT 0
AR = S YE AR
HE (6.100)
(TITLE( D fflrltl
JTE< 6t 200INRECEPtNRS AtNMON
QSTD
HE (6.265)
RMAT (20X, •
YEAR
POPULATION DAT
WORK PLACE ( *t F8,1»3H I//
DO 50 irltNRSA
AT
3)
It
A
)
****************************
READ 15.260) 1 IDRS Al I» J) .J n
FORM AT i 2 11 0» 2F 10 .0 »
WRITE (6.275) IrdDRSAtltJ
RMAT C1X t»NO._ «t 13 t2X, tSAr
WKRSBY't' WK-PLACE: N F10.
CONTINUE
IT Et 6t 10 0) (T ITLE CK ). K= It 13
IT E( 6? 20 U) NR EC EP »N RS A. NM ON
QSTD
).
•t
0)
)
Tt
H LI b» 24 5 J
** ** ************** **********
KMAI13UX." A lR MONJLJOKINO
31 KrltNMONT
WK ITEl St 2551 K .1 15 JJ H K» J) »J
25 5 FO RM AT 1 2X tl HN 0. r, 11 15 Xr »STA
SI
=1
TI
A

NS
—

**
,2
J:
21

N$
**
Al
t2
04
AND

ITES
TOTA

** **
It
It 2)
6t 10

ITES
** **
10 NS
It (S
NO.
START

tNPO
L PO

** **
tf»OP
t( PO
Xt T

tNPO
** **
•//
ITE(
=» t2

PL
PU

**
LC
FL
OT

PL
*»
J
Kt
15
YEAR

• NYE
LATT

** **
It JJ
(I tJ
AL P

tNYE
** **

J) tJ
tlOX
L 00 P
. -
AR tS YE AR tD EL YR t
t
ON 'AND AIL WORKERS B S

*****************
tJ r It 21
)t J=lt 2)
CP i= •» Fl 0. 0. ID Xt «A LL

AR tS YE tR tD EL YR •
** ** ** ** *********

=1 t2 I
t»3{-Y CD CRDINATE = *t
•i Or It) »2 J . -
31 CONTINUE .
WK II L  I b 11 UU 11 I JL IL KJ  JLI «I =1 tl 3)

-------
           	   ;•'.-.	'   .  '  .•   '..   .  .      ..,;.   .   •	   .     .     	    ' ;	  o*
160            ,  MR ITE( 6f 200)NRECEPfNRS Af NMONTf NS IT ES »NPO PL tNYE AR tS YE AR tD ELYR t
1 61
162
163
164
165
166
167
168
169
170
171
172
173
175
176
1 77
178
1 73
180
182
+ A
285 F
C* ** ** **
us
WR
ILJ
IT
OR MA
TARE
JT
00
KRSA

NN
T
W
Et
fi
f
61 AWTf
RPOPLI
RP
TA
HR
3
OPLI
RE A
IT
J=
295 FORM
3 5Xt
C* ** ** **
If
0=
**
(A
RP
E<
If
Al
T
*
E C6>2
T I30X
A =0.
85)
» • RE OE PT
RI TE N UH EE R OF
9f IDDNRECEP
0 I=- 1
IREOI
IRS At
NN.LE.
IJ = A
If 11 =
If 21 =
= TARE
6f 2951
21 fAWT
fNREGEP
PI If 11
KRSA)
0) GO TO
OR"
H

6

SPEd FI
BCEPTORS

0


CATION 0
ON FILE





Al
9



A*// )
* ********* !
1


RE AI KRSA I/NN
POPLtKRSA fl)/ M
POPLf KR
A + AWTf
If (IRE (E
II)
tZXf 4HNO = »I5f
POPL - WKRPL «f
WRIT
Wl 11 I • EU
OPLtlf 11
E POPULA
.U )G 0 TO
/ACT II -1
SA
II
PI
3X
2H
TI
b
fZ )/ Ni
IrJJfJH
f« RE DIPT
= f2F8 JO
ON 0 EN SI
9

f2)f
NO*
*SXf
TIES


R ec
= «f
* It
ON


EP
21
A
FI

- ' . - j
a f J If vP 1> 2) t( fP OP Lt If J) f
6f 5X f • X- V CD CR D =• f 2 F7 .2 t
=* f F 8. Z) ^ g
t
IE9»«* *********

                   WKHE(9»102) U f( RE (t P( If J) tJ =1 »2 It If Yt AR
               59  CONTINUE
i so           & u    co N r IN i«r
186               WR UE(6f 100) (TITLE 11 )f F 1» 13 )
187       C^
188               DO 79 ^= If NY EAR
130               STAAVG(J»=0.
191           •    twALjPlJ
132           79  CONTINUE
193               WK II El 6* 31 4MY Yf J 1 fJ =1 f N Yt AR  I                     "           ~
134          314  FORMATI//54Xf" AIR  QU/g. IT f  MO STORING  0 AT A* f//f 4»Xf  *Y EA R  :• f/f34X f
1 95              1 Tr UT«u/r
196                DO 80  I=lfNMONT
198     .           DO 81 NYzl.NYE AR
                   t-      it rf   « t» . •  b   -   ax

-------
2 CO
201
202
203
204
205
206
ZUf
208
2oa
210
211
212
213
21*
215
216
217
218
2 19
220
221
222
22^
224
225
226
227
228
2zy
230
Z51
232
Z3.S
234
Z Sb
236
•i £/
238
Krl
!>7 AAVGINY) =STA AV G(NY )+ CM tl tNY)
KV ALD(NY) =KVALIDCNY )+ 1
81 CO NT IN UE
IF(K.EQ.l)HRlTE(6t315> It tlSITE tltj )t J=lt 2) t
1 I CMII tNY) tNY=ltNY EAR)
80 CONTINUE
UO 8 2 NY =1 tN YE AK
ST AAVGCNY) =STAAVG(NY )/ W ALID 
-------

2*10
211
242
243
214
245
246
247
248
249
250
251
252
255
254
Z55
25S
257
258
259
260
261
262
263
264
265
266
2B/
268
Z62
270
2 iL
272
273
274
2 /5
276
2 / /
278
2V9
C POPULATION CLASS - 5 ALL WORKERS BY RESIDENCE
C POPULATION CLASS - 7 ALL UORKERS BY WORK R. AC E j
. c- .-. . • i
89 M=tiINOC7.NPOPLI !
DO 90 NP = ItM f
TPOPL r 0. j
UOSbiritNRHifcf* i
K = IRECEPII.l) ... 1
TOTALP = RPOPLtltll : .
GOTO |91t 92.93t 94 • 9 7t 98 »9 91 iNP
91 UENSTY I I) = TOT /LP
GO TO 96 I
92 DE NS TY f I) = T OT /L P * PO |€ fi|t K •! I/ 10 0» •
60 TO 96
93 EENSTY (I) = T OT A. P » PO C NT K t2 )/ ID 0.
GO TO 96
94 EENSTY f IJ = TOT 4.P *P rf»CNTI Ifr 31/XOO.
60 TO 96 - g
97 OENSTY (I )=TOTA LP*POP ON T( K» 41/1 00 •
GO TO 96
98 OENSTY U 1= TOTALP *( 100. -PO* CNTf K» 4) 1/100.
GO TO 96
99 DENSTY (I|rRPOPL( 3* 2J
96 TPOPL = TPOPL * OENSTY CD
95 CONTINUE
WRITE <6 1 1 CO H TI TL E( Iltl=l tl 31
WK U t( B» 2UUJNKB: EP»NfC> At NMONTt N5 IT ES tN PO PL tN YE AR iS YE AR t D EL YR f
+ AQSTD
WRITE Cb»345J YE AR »NP» TP CP.Lt I A E A
345 FORMAT COX »• EXPOSURE DISTRIBUTIONS FOR • »6 HY EA R =, F8 -1 13 *
3 anPOPu CL rt jt2 » J X» «IIKUKL -• H Cu u» 6x tiHT «< t»
3 3HA r»F10. O//):
CALL USPCTK .
90 CONTINUE ., !
Yt. Ak = YEAR .* ctLYK . . . •
40 CONTINUE I
Uti jJE( 6f iuO) {1 Al Ut 1 i J» X- If 13 I
STOP . j
SUBROUTINE POLUTE i

-------
280
281
282
283
28*»
285
286
Z«/
288
289
290
291
292
Z9.3
294
Z95
296
Z37
298
233
300
301
302
303
3 Of
305
306
307
3C8
309
310
311
312
313
3 If
3 15
316
3 17
318
COMMON AQSTDfNRECEP
1 SI TE 1 2 00 t2 1 9 CM 61 20 0)
2 »CFRQ(300t 8) tF f300t<*
DIMENSION S(Z)»R(Z)
DIMENSION SS (2»t CORD
1 1 00 I
COMMON MNODE (100)»X(
Ul HL NS 10 N XX (1 U» 10 UJ
DIMENSION XMt30D)»YK
MV At ID =0
DO 10 Irl.NMONT.
XMCI J=SITE a til
YK'f 1-1= SITE ttt2»
1 0 CONT INUE
C* ******* WRITE NUMBER R
UH HE( 8t 10DNRLCEP
101 FORM AT CI 31
DO ZU N=ltNRfc£EP
XH =RECEPtNil)
YK=REC tPCNt2I
Rll»=XR
R

E£ IP TORS ON FILE 8. „ »****#»*#*»«***

s
FO
FO
1 XL 1 FO
. . • . ...... jp
FO 1
	 IF 1
FO 2
FO 2
tRtCORDl) FO 2
FO 2
FO 2
IF 1
IF
FO


13
1*
14
15
17




00
vo
25
27
28
29
29
30
31
31
32
33
3
-------

320
321
322
323
324
325
326
327
328
329
330
331
332
-S 33
334
335
336
337
338
33y
340
341
342
.54-5
344
.3 l}b
346
347
348
349
350
451
352
J54
354
35i>
356
•5I>/
358 "
3 by




C


C
C
C

f

C
19
C
19
C
C
C
C
C


IS

IF f C tC CX ) 51 .5 If 52
5 1 Dl ST =3 £ El 0
60 TO 53
52 xo BT=XMIII-XR
YD ET=YMII>-YR
DI ST ±S QR T 1 XD 1ST* XO IS T* YD 1ST* YD IS T 1
INSERT 6 ;
IF INPDIST. EQ.O )GO TO 1 11 2
SC1)=XMM) ....: . _.;.". .
S(2»=YM(II
CALL TRNSLT(StRtSS)
AFTER ROTATION THE STATION POINT IS ON T 1C X OOUB-E (RIME JK IS
XSII)=DIST
Ybll 1- LU O
FIND THE COORDINATE OF EACH MDUNTA U NODE IN T 1C D OJ BL E PRIMED
THET A= AT AN2( SS <2)t SS (1 ))
DO(J=1 tMOUNTN)
DO 19997 J=3,?MOUNTN
MND=HNOOE«JI ^
UUtK^L tflNUI
DO 19996 K=1»MND
XN(J.K)~XX (JtK)*03S( THCTA) -iVYI Jt K) *S 3N (f HEtA )
YNIJ»K)=-XXC Jt K)*S IN CTHETA J+ YY U «K )*COSCTH_ET _A)
END DO
996 CONTINUE
END DO
997 CONTINUE
TtST W htTHER t AC H HOUNTA JN NODE IS ON THE X DOuBlf P RE ME AXIS
STATION AND RE CEPT OR . POINTS
DOIJrl tHOUNTNl
DO 19995 J=1»MOUNTN
MND^MNUU Ef «J I
DOIKrltMND)
DO 1 93 34 K =1 tMND
3F(YNK ). 6T . 0.
* I uu i u is a* i -
GO TO 19992
yyi coNHNut .-•• ••:•-. -





TO
FO
FO
FO
FO
FO
FO
SYSTEM FO
FO
IF
FO 1
IF 1
FO 2
FO 2
IF 1
IF
AND EETWFO
FO
IF
FO 1
IF 1
0.0) IF 2
0 .. . ,. .

" " * • • •
D




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50
51
52
53
54
55
56
57
57
58 g
59
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60 i
61
62
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64
65
66
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67
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68
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69
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69
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69

-------
360
3fal
362
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366
3 b/
368
363
370
371
372
373
371
375
376
377
378
373
380
381
382
383
381
38i>
386
387
388
383
330
3 31
332
333
391
335
336
337
398

C
19992
19993
C
19991
C EN
13 33 5 CO
C TEST W
C DO
DO
C
C

19 98 6 .
C

19983
C

13 98 U
*+A
1
C
13381
19982
C
19 98 1
19985
C
19987
DIST:SIST+P< Jt W
END IF' . •
CONTINUE
CONTINUE
END DO
CONTINUE
D DO
Nl INUfc. . .
tfTHER THE STATION -R tt EPTOR LINE C HDSS ANY M OJ NT AI N
(J=ltMOUNTN)
19990 JrltMOUNTN
Ml =M NODE Ul-l
DOtKdtHll
DO 1 93 89 K =1 t M 1
IF f X N ( Jt K 1 «E Q • XN (J »K +1 1 1
JFCXNtJt K) .EQ.XNM *K +111 6 0 TO 1 93 85
GO TO 19987
CONTINUE
IFtXNI J.K) .LE.XS II M ^
IF(XN( Jt K) eLE* XS tl M 6 0 TO 1 93 83
GO TO 19981
CONTINUE
IF (YNI Jt K 1 *Y Nf J. K* 1) J_ T. 0. 0)
IF (YN( Jt K )*YN( Jt K+ 11 «L T. U. 0) 6 0 TO 1 99 80
80 TO 13981
CUNTlNlft.
PENLzPCJtK 1+ (P iJtK -fl. >- PC J> K) )* /8S( YN (J rf< )) A
bb!YN(J»
K+ 1) 1 )
END IF
tONTlNUt
CONTINUE .
tNU If-
, CONTINUE
CONTINUE
ELSE
6U I U 19 38 8 :
CONTINUE '
FO
IF
IF
IF
RE GI ON FO
IF
FO
IF
IF

IF

IF

48 S( YN (J »K }) FO
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IF

IF
IF

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5
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71
72
72
73
73
71
75
75
76
77
77
78
78
78
78
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79
79
79
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81
82
83
83
83
81
81
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333        C               II-(YN(JrKl*TN(x*K»-ll«LT. U.UI                                             JF386

-------
_ ... • • • . . , D
400
4 Dl
402
403
404
405
406
4 U/
408
403
410
4 11
412
4 13
414
415
416
417
418
413
420
421
422
424
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426
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4 £3
430
432
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1112

5 3
"':.. ' 30
IFfYNt Jt K)*YN( Jj KH) J.T. fU 01 0 0 TO 1 9977
6U 1 0 19 37 8
CONTINUE
SLOPE= (YN( Ji W-YNt Jt K* U >/ (XNf Jt K)-XJ4( Jt K*- 1) )
IF (SLOPE. NE. Q. 01
IF (SLOPE. NE. 0. 01 60 TO 1 99 74
GO TO 13975
CONTINUE.
XINTCP=XN( Ji K»-Y M Jt K| /SLOPE
IF IX INTCP. LE «X S ( 11 .A NO .X IN TC P. GT .0 J3 1
IF CX INTCP. LE .XSM) .A ND .X IN TC P. GT .0 .0 ) QD TO 19 97 1
60 T 0 13 37 2
CONTINUE
PfcNL=PIJ «K 1+ IP IJ tK +1 )-Pt Jt K) )» ABSt YN U tK ) ) A ABS( YN
})+ABS(YN(Jt
K+ 11 H
DIST=DIST*PENL
END JF
CONTINUE '
tO NT INUE
END IF
CONTINUE
CONTINUE
END IF
CONTINUE
LUNIlNUt
END IF -
t'ONIINUt
END DO • • • '
uONT iNUt •• . . .
END DO
CuNT J.NUL i
CONTINUE
MVALB>=H VALID*!
xANKdi— ulil
NS ITE(p=I
CO-NT1 j.N UE -
IFIN.NE.il 60 TO 93 •


FO 4
IF 4

FO 5
IF 5

U tKFO 6
FO
FO 6
IF 5
IF 4

IF 3
IF 2
IF 1
IF
FO



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86
86
87
88
88
88
88
89
90
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90
90
91 i
91
91
92
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93 r3
93
94
94
94
95
95
95
96
96
97
37
98
38
99



HK JJ LI b» J.y UI  nwALXU

-------
440
441
412
443
444
445
446
4 47
448
443
450
451
452
453
454
455
456
457
458
453
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
4 17
478
4 79
190 FORMATCSXf *NO. OF VALID MO MTORIN8 STATIONS- «t I$/i
99 CA LL S EA RC H
TD=0. '
TC =O .
DO 50 Krlt 3
M= NS IT E( K ) :
D=RANKCK>
.U- IU.L 1. tPM CO 10 55
FWTrl./D**2
TO=TD*FMT
TC=TC+FWT*CMG«M)
50 CONTINUE
CPOLOIN) =TfyTD -
GO TO 40
55 CPOLU(N) ^M6 (Ml -
4O CO NT INUE
WR ITE( 6t 110) (IRECEP1 Nt Jl tJrl,2 I, CPCLU( N)
C» ***»*»* PUT RE CEPTOf* STATIST tt 5 OJ F 5_ E 8. •**«*«****»***
WR IT EC 8*1021 CPOLU(N) ,( RE CEPf N» J) t J =1 12 It feYEAR ^ S
10 Z FORMATC3F10. 2t UOf Fl 0. U
110 FORMATt2Xt 'RECEPT NO . =• t2J5tlX, Fl 0. M
2 U CONTINUE
RETURN
c • • • • .......
SU BROUTINE TRNSLT1 CORD If OR1B 3N tC OR02 1
DIMENSION CORDK 2) tORI 6CN( 2) »C CRD2 (2 )
DO 100 Irlt2
CORD2C I) =CORD1 (II-OR3B IN CD
100 CONTINUE .
RETURN
SUBROUTINE SEARCH
COMMON AQ5TD.NRECEP .NMONT.EPS tR EC EP (300 t2 It NS IT EC 2001 tR AN K( 200> •
1SITEC2Q0.2J? CMGt 200) .RPOPL C300 tZIt fU TC 30 01 tDENST Y< 300) iT AR EA ,T TO PL
2 tCFRQC 3D Of 8) »F (300*4 >. NO BS tC PO LU C3 OJ >» XL OW tX IN CR tN IN CR
MTNMONT-1 ..-.-..
DO 100 Irl tM .
K=I«-1
UU 1UU J=n»NMUNT
IFCRANKCII^RANKC J) 1 lDO»100tlD
C SURI IHL UlSlANCLS 10 MON1TORIM3 SIA1IONS IN ASCENDING ORDER

-------
480
482
483
484
485
486
487
488
489
430
431
432
4 33
434
435
436
4 3f
438
433
500
501
502
bO-i
504
bOb
5 06
bD/
508
bUb
510
b 11
512
515
514
515
516 .
bl/
518
519
10 ADJUSTrRANKC I)
~> RANK (I )-KANK ( J )
RANKt Jr=ADJUST
C ORDER THE MONITORING STATION NUMBERS ACCORD! N3 LV
lAJUSTzNSITE II 1
NS IF E< II rNSITE CJI
NS JTE(J) =IAJUST
100 CONTINUE
RETURN
SUBROUTINE DSPCTR
COMMON / LUPLCM / LUPLT
COMMON AQSTDfNRECEP tNMONTtEPS tREC EP C30D»2 If N5 U Q 200) tR ANK8 200) t
1 SI TE ( 2 00 1 2 ) t CM 6< 20 0) tR POPL C3 00 t2 ) » AW T« 30 0) t D EN ST YC 3D 0) fT AR EA ,T PO PL
2 tCFK QC 3D Of 81 if f3 DO f4 )f NO BS tC PO LJJ 13 CD If XL OW »X 3N CR tN IN CR
DIMENSION DTHR(4Q)
DO 2 5 1= It NI NCR
DT HR ( I 1= XL OW •* IN CR *( NI NC R- I)
Z 5 CO NT IN LE
WR JTEC Gr 215) • •• S
215 FORM Al (25X t'POPULATl ONANUL/ND AKAEXFDSUREDISTR1BUTION5V)
URITEf6f214)
214 FOKHAI t 5^X» 'UISIKiiJUl 1DN FU ft Ti ONSf »Z 3X t" fR Efl UE NC Y FUNCTIONS*)
C AWT II) = AREA OF R£(EPTOR I
c OENSTYIIJ - POPULATION OF RECEPTOR u. )
AQS =0 .
PQS. 33 .
PSAR =0.
PiPP = 0 • v
AREAVG =0.
POPA VG - 0 .
10 CONTINUE
KI hf< - U IHKI 11 -»X IN CR
WR 3TE( 6.219) ,
213 FUK" Al 11 IX »• AIR UU AL jj Y VA LU L' tB X* »A ft A* »1 IX t ' PO FU LA H ON *c
117Xt »AREAf t!2X t» POPULATION •! ,
C END INHIALIZATION AND START 0* LOOP
DO 20 J rltNINCR
UA - LU •
DP=0 .
C END IN UlA LIZA 11 ON AND S t A RT R EC EP TO R LD OP
1
i
i
• 1
i

,


!

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•
'


-------
520
5Z1
522
523
524
J»Z5
526
528
6Z3
530
531
532
533
534
535
536
537
538
540
541
542
544
546
517
548
5 43
. 550
552
553
554
555
556
557
558
553
c" • .'••'."•'•' • •' . • • '•-.. ,' •.' -..-.•' .
DO 4 U 1= It NR EC EP
34 CHEK=CPOLU Ul-DTHRtJ )
F  4lt4Zt42
41 SI GN = 0 . •'":..'
GO I U 43 .
42 SIGN = 1.
H .j UK - u & * Si ew * A m u. k .
DP = DP + SIGN *OENSTYID
**U COM INUt
DELC = PTHR r- OTrtR(J)
OS AK — D A/ T A RE A .
OSPP = DP/TPOPL .
ASPC = D5AK - PSAR •
PSPC = OSPP - PSPP ' . ;
AQS = AQb + U, 5MDSAR+PSAR )* KLC
PQS r PQS * 0.5* 1DSP P* PSPP )*CELC
PS AR = D SA R .
PSPP =' OSPP ..'...• ^ S '
ft HR = O IHKf Jj
UR DTEt 6t 220) DT HR ( J 1. CS AR .DSPP, AS PC tP SP C
Z2U FORM AT IlXr F20» !• 4F2D «4 •/)
20 CONTINUE
C - ' . < - ' ' . -
C END RE 01 PT OR LOOP
c . ... •
DO 30 IrlfNRECEP
FUPA VG IPOP AV 6 + CPOLU( 11 *U EN VT Tl 11
AR EA VG =A RE AV G + CPOLU( I) *A WT a )
3 U CO NT Pi UE
AQS = AQS*DTHR(NINCR)
h"Ul» = PU^-»-Ul MK IN J.NCK )
POPAVG = POPAVG/TPOPL ,
AKEAVG = AREAVG/TAREA ^ s w
MR ITEI Et 240) AREAVG "
WR II El b« Z5U) POPAVG . . .
240 FO RM AT C/20Xf SPATIAL AVERAGE CtNCENTfftTIOi = *, Fl 0. 4)
Z5U FORK AT IZUX i* POPULATI ON AVERAGE C ON (E. NT RA Tl UN =? »F ID ,4 )
RETURN
END •

-------
                                   96
                     Short-Term Population Exposure Model  (SPEM)
                               Subroutine Hierarchy
                                         MAIN
FRQNCY


•
RISKDN

                                                      DSPCTR
                                                     RSPCTR
SEARCH
TRNSLT
            MAIN:      Reads  program  control parameters and input data.  Calls
                      subroutines  FRQNCY, RISKDN, DSPCTR, and RSPCTR.
            FRQNCY:    Computer interpolated percent!le concentrations at each
                      receptor point.
                      Calls  subroutine SEARCH.
                      Calls  TRNSLT too when geographical barriers are used.
            RISKDN:    Computes risk  frequencies at each receptor point for
                      concentration  thresholds equal to 1, 2, 3, and 4 times
                      the air  quality standard.
            DSPCTR:    Computes a distribution of area and that of the population
                      exposed  to various levels of percent!"le concentration at
                      the 50th, 90th, and 99th percent!* les.
                      Computes both  spatial average and population weighted average
                      concentrations at the 50th, 90th, and 99th percentiles.
            RSPCTR:    Computes a distribution of area and that of the population
                      exposed  above  the air quality standard at various percentages
                      of the time.   Computes the spatial average and the population
                     weighted average of risk frequencies.

-------
                      97
(Continued)
SEARCH:   Finds the three monitoring stations nearest to each
          receptor point.
TRNSLT:   Translates the coordinate origin to a given receptor
          point.

-------
	 . 	 __, 	 	 . — — 	 ' 	 • 	 — — 	 1
• ' - • • . Di
TR RP *P OP EX P. SP EM |
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
13
20
Zl
22
23
24
2b
26
27
28
29
30
,51
32
33
34
3b
36
61
38
iy




c
c
c
c
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c
c
c
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c
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COMMON AQSTDtNRECEPtNMONTtEPS tR EC EP (300 t2 It NS IT El 200) tR ANKS 200) • j
!SlTEl200t2»t CMF( 200t 8) tRPOPL (30Dt2)t AHT( 300) tOENSTYt 300) tTAR EAtTPO |
2pLtCFRQ(300t 8) tF(30Q t4 )f NOBS t XLOWt XlNCRt NIN CR tP TI LE (3 1
DIMENSION AREAf3QO)t POP CNTC 33 0* 4) tl RE CE p( 30 Of 2\ tl RS A! 3D 0) tP OPL( 21
3f> 2), TITLE 0.3) tlOBSI a) tISITE 1200,2), lDRSA|30Dt2)
COMMON MNODE (100)t X( iDtlOOt Y( !DflOQ)» P( IDtlOO )t MDUNTNtNpDlST
DATA IOUS/876U t6257» 2b03 t28C 8» 58 32 t3 38 9t 365t 26 It 13 4/
EP S = 1. E- 10

EXPLANATION OF PARAMETERS
AUSTD - AIR QUALITY STANDARD (ANY UNIT)
NRECEP = NO. OF RECEPTOR POINTS i (E J. ) "
NHOUR = SAMPLING I ERVA L IN H CURS ( 1 OR 2 4)
NHONT •= NO. OF AIR MONITORI N3 STATIONS (6 E. 3)
NS ITES ~ NO. OF STATIONS WITH DATA " vo
NY EAR = NO. OF YEARS TO A M Li ZE (EACH Y EAR MUSf' H AV E BOTH POPLATl ' rf°
0 N A ND A IR Q UA II TY D AT A) ( (£ J. )
SYEAR r INITIAL YEAR
DELYR = INCREMEAL YEAR
NT 3ME = NO. OF TIME C ATEBORES SUCH AS \£ EK DA Y /W D HE EK EN D (1 TO
6)
NRSA r NO. OF REG IONA L STATISTICAL AREAS IN WHICH C UR RE 0 R PR 0
-JE.CT0) POPuL AT 10 N STATISTICS A RE AVA3LteL£ ( GE .1 )
NPOPL .= NO. OF POPULATION CLASS SUC H AS SCHOOL-A3E AND ELDERLY C
1 TO 7) , '
NOBS =: NO. OF POSSI EL E 08 SE RV AT ID NS • E. 6. ?876QFQR ANNUAL HOUR
-LY CONCENTRATION PERCENTIUL STATISTICS
EXPLANATION OF IN3 UT DAT A
AREA (I) ~ AREA 0 F EA CH RSA I N SQ . MI.
POPCNTtltJI = SU8POPLAT ION PER CENT 0 F TOT* L TO RJ LA tl OM AT EACH
RSA IN 19700R OTHERCEN SUS YE tR
iK t.U t.f 1 1 t J 1 ~ Kt. UL. Y" 1 UK X Ut. It" JJ~ Al 1U N NU Ml U<
. RECEP (ItJ) r X-Y COORDINATE OF EA W. RECEPTOR
IRSA i I» J) ± NO. OF RL It PI UK H 01 NIS AS SIGN ID » U A GIVEN RSA

-------
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
53
60
bl
62
63
64
65
£6
6/
68
63
70
71
72
73
74
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76
/ 1
78
7a
C
C
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IS IT EC I) : = AIR MONITORING STATION I. D. NUMBER
SITE: titji = X-Y COORDINATE  DIST =1 1 TH E R) U. (W IN 0
AKE REQUIRED -
MOUNTN "= NO. OF GEOGRAPHICAL B A3RIERS TO BE IN GL ID ED. I N
SPATIAL INTERPOLATION
MNOOE(I) = NO. OF NODES USED TO APfHOXDIATE UOCATTON 0 F EA CM
GEOGRAPHICAL BARRIER
X( Ir J) AND Y CltJ} = X AND Y CO QRDINATES OF J-TH NO DE 0 F I-TH
MOUNTAIN . uj
P< IrJ) '= PENALTY DISTANCE ASSIGNED TO THE J-TH N CD'E OF I-TH "°
MOUNTAIN.
100 FORHATtlHlt25X t!3A6/// )
R£ADI5f2141( TITLE! 1) tl =1»13)
214 FORMATtl3A6|
READ 15 tZIO JNRE (EP t NMONT? NS IT ES »NRS A» NP OP L» M4 OJ Rt Nf EA R» ST EAR*
3D£LYRt AQSTD, NPOTST
210 FO KM AT 14 15 »5X» 31 5» f JO .1*1 5)
200 FORMAT (5X»8HNRECEP =* 15 t3Xt EH M?SA ' = tl 5t 3X 1 7 HM MO NT = tl 5. 3X »
1 8 HNbl IE S rr 15 t3 Xt 7H NP OP L =t 13 t3 Xt /» 5X 1 7 KN YE AR = tl 5r 5X t
2 7 HS YEAR = tF 8. It 5X t7 H) EL YR .= tF 5, It 5X »7 HAQSTD = »F 7. I/ 1
ht AO t5 t2 11 JXLOW* XINCKt NINCH
211 FORMATtZFlO. Ot I5»
RE AD 15 tZ 16 1 ( PT IL EC I) »I =2 »8 )
216 FORMATC7F5.1 »
WK U t 16 tlUO )( II ILE( 1 It X= 1» 13 1
WR IT E{ 6f 20 0) NR EC EP t N RS At NM ON T, NS IT ES t N PO PL t N YE AR tS YE AR t D EL YR t
+ A Ui Tu
WRITE(6*215)
2i5 t-OftMAT <2x»*uENSuS uft IA — PERCEnY-u- I Oi AL. 'f* V-UL AI j.u N *//! 	

-------
80
ax
82
81
'86
b7
88
83
90
3X
92
91
96
98
33
100
1U1
102
103
101
XUb
106
XQ/
108
X IB
110
X XX
112
1x3
111
116
il/
118
119
DO 10 I=ltNRSA
RL AU 1 5 tZ 20 1 1 1U K5 AI Xt JI »J rx tZ It
220 FORMAT t 2I1D tl OX ,5F1 0. 1)
1U CUM! 1NUL
DO 20 I = It'NRECEP
KLAUlb t2JUI UKt.ut.Pl If J) »J=lt2
230 FORMATC2llOt2FlD.OI
2 0 CO NT 1NUE
RE AD (5 f2 40) (IRS M I) »I H ,NRS A)
210 FORM AI 1 1 XbXb Vl
DO 11 I=ltNRSA
<. WK IT El bt ZZ51 If CIDRSA II tJ It J=
URSA II I
ZZb FOKM AI IZXt »NO. =*tX3t3Xt*SA =•
I'SUBPOP At Bt C» D UNt J =• tl F7 J.
XX UON1 XNUE
WR 1TE(6» 100) CT3TLECI It 1= It 13 I
UK ITLt 6t 20U)NKEtEPtNKi> AtNMONTt
* AQSTD
WK XF tl b» ^Ibl
215 FORM AT (3 OX,' AIR HONUORING ST
DO 30 I - ItNMONT
READ 15 ,250) (ISITE (I «J )i J= 1* 2)
ZbU FORMAT t 21 ID tZ PI 0. 0)
WRUEIG, 255) I »( IS IT El It J) tJ ^L
Z5b FORMAT 12 Xt kHNO.= tilt 5( t*ST AT D
32F10.01
IFtNPDlST. EQ.01GO TO 1 11 1
KL AU Ib ilUUll MOUNTNt IMNO DE (X )t
1001 FORMAT II 2t 2013 )
UU -i i i-X»MUUNIN .
MND=MNODEII1
UU ^2 vJ^XtHNU
READtStZOOl) X fit Jit Yl It J 1 1 P d
^LlUx FURPI At IJI"8 «Z I
PI I> J) =10. * P(I »JI
42 CUNI 1NLL
33 CONTINUE
. 1111 UONI 1NUL

• • ' . 1
1
AKEA IX !• rOKCNlUt JJ ,J rif* B

)t IK u: IF a t J )t v^ xt z>
' 	 • ' i


. ;
It Z) tA ft. Al I) tt TO PC NT II tJ Jt «J=1» 1J t
tZ 15 t5 Xr *A R£ A =• tF 7* It 5X •
t8Xt *R EC EPTORS P ER S A =« tl 31

NSITES tNPOPLtN^AR tSYE AR tDELYR* _
<— >
AT 10 NS • // J
tt SITE tttJ )t »tlt 2)
t2 1 * IS IT E( It J) t J =1 t2 )
N MO ^ »t 21 5t lOXt «X -V C CO.RD IN AT E =? t

x= x» m UN TN i

•JJ

••




1



-^

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120
121
122
123
124
125
126
127
128
123
- 130
131
132
133
131
135
136
137
138
133
140
141
142
143
144
145
146
147
148
149
- 150
1 I>1
' 152
1 bJ
154
Ibb
156
lt>f
158
Ib3
C '.-.'•'•'•''' :••'•• ' '
C END TIME INUtPENCt INPUT DATA JND START YE AR L 00 P
•C • • . ' •
YE AK r: S YE AR
DO 40 NY r It NY EAR
UK HE 16*100 1 4 TIT LEI 11 »I =1 tl 3J
UR -a EC 6t 2001 NR EC EP tNRS At NMONT* KS IT ES tN PO PL »NYE IR tS YE AR .0 EL YR t
• + AQsio- •'
WRITE (6*2651 YEAR .
Zb 5 FUKMAf -1 ZQXt • POHULA11UN DATA — TOTAL POHJLAIAUN AMI ALL- WORKERS B
1Y WORK: PLACE c *t . PS. 2» a< i//i °. •
• DO 50 I=lwNRSA
READ ( 5.260MIDRSA a »J)» Jr 1. 2) t 1 POPL ff »J It J= 1 12 )
Z&Q FORMAT! 211 D» 2F 10 J3 1
WRITE I6t275) It II ORSA CI.J It * It 2) •< POPL II.J It J= It 2)
275 FORHATf3Xf *NO. = *t I3tSX» *SA =? «2Xt 21 3t 5X »T OT ft. P OP ^: »t FlO. 0, 10 X,
3'ALL.WKRS BY »t * WK-P IA CE=« f 30 .0 >
su CONTINUE
WRITE (6tlOOHTlTLE( II tl=ltl 3) o
WK Htl fct ZOUlNRECEPtNR^ At NHONTt NS IT ES »N PO PL i N YE AR tS YE AR tO EL YR •
+ AQSTO
WHITE I6»285» YEAR
285 FORMAT (30X t * RE CEPTOR SPECIFICATION DATA FOR »t F6 .1 // )
TARE A =0.
DO 60 I=; 1 tNRECEP
KR5A = IREOEPCItl)
NN - IRSA(KRSA)
IT (NN.LE.Dl GO TO 60
61 AWT(I) = ARE ACKRSA I/NN
HpOpLCItl) = PflpUKRSA til/ W
RPOPLfI«2l = POpLfKRSA t21/ W
lA Kt A - TA ft A + AH If 1 1J
WRITE (6»295>I tKRS At 3RECEP (I t2 1 1 «R EC EP tt t J ). J=lt2) tt FPOPU It J) t
3 vfclt 2.1 tAWy tl 1 ...
295 FORMAT 1 2X »4 WO. =t 15 »3X» «R EC B>T NO. =• ,215 t5X» * -Y C 00 RD = *t
Zifr lO.OtbX* »I POKL - W WKU -
3 »2H =» FlO. Q»F7.0.3X« 'AREA =? tFlO J. >
bO " CON1 INUfc "
c •'•..••-••. •
C START TIME CATEGORY UJ OH ' :

-------
160
161
162
164
16C
168
163
-170
171
172
173
174
175
176
17/
178
173
180
181
182
183
185
186
187
183
189
190
192
i Q£I
13b
136
138
iyy
c . • ' . .
IF tNHOUR .EQ. 11 60 TO 441
IF tNHOUR ,£0.24 160 TO 4 42
(*41 NH=0
GO TO 443 i
44 2 W zb
443 CONTINUE
NHZNH+1
NOBS=10BS(NH)
WRITE IBtlCO JIT1TLU I) »Irl ,1 3)
WR ITE16»200)NRECEP»NRS AtNMONT. NSITES tNPOPLtNYE AR tSYE AR tDELYR»
* A QS TD
WRITE (6. 3 OS) YE AR tl PT BL El 11 tl =2 .8 >
iU5 FOKMAT t ZQXt *F REUU EN CY DISTRIBUTION OF MONITORED CONCENTRATION *°
3 tSXt 6HYEAR =iF7.1»/f OXt»Pl P 2 P3 P 1 PS P 6 P7 P 8 = 10 O/ IN+l »•
C ' ' • - ^
C START READING AIR QU A. ITY DATA ' ~ s ' ' ' ' ->
C ..'..• . o
DO 8 U 1— 1» N5 IT E>
REAOt5»270IINtKNr(CMn INtJl» J= 1. 8» C
Z7U FURMAT II 5t 15 »6 Xt 8F 8. 21 C
WRITE C6T315) It 1 EITFl IN »J )t %fc It 2) •! CM R IN »J }t J= 1» 8)
315 FORMAT (2*t C ,3X» t>T. ID J4 0. = »t 2t 5t 5X »• MAXt P2 »P 3t P4 tP 5t PS tP 7» P8
3' t» *ILE: = *t 8F8. 1)
8U CONTINUE . .
c .' . . ...'•. .„•_...,.' .':'
C ST ART COMPUTING PE RC ENTILE C CN CE NT RftTI CN AT EACHRECEPTORBY
C USING AN INTERPOLATION FORMULA
c >.•••.
WR IT Et 6t 10 0) (T ITLE tl )t 1= 1» 13 I
WK IT LI bt £UUi NK tC tK tNRi At NM ON Tt NS 11 ti> tN HO PL tN YE AR tS YE W tD EL YR t
+ AQSTO
WR1I Hbt JI2b) V EAR
325 FORMAT 1 20Xt MNTERPOL AT ED - E XT ER PO LATE 0 PE RC ENTI If C ON CE N« t
3 'RATIONS Al RECEPTOR S JL1 Lb ft 5X »6W EA R -*F7«l»5XV/t
CALL FRQNCY
C START COMPUTING RISK PROBABILITIES AT EACH RECEPTOR ASSOCIATED
C ' WITH A IK QUAL1IY STANUAKDS •

-------
200
201
202
203
204
205
2 OS
207
208
209
210
211
212
213
214
215 .
216
217
218
2ia
220
221
222
22.5
224
225
226
22^
228
223
230
231
232
233
234
235
236
£6f
238
MR IT EC 6* 10 01 CT ITLE CE It fc It 13 S
WK B" LI 6t 20 01 NR EC tP tN RS A* fiH ON T» N5 XT ES eft PO PL «N ¥£ AR cS YE £R tD EL YR »
+" AQSTD
WRITE(6t335) YEAR
335 FORMAT flSXt 'RISK OF RECEPTOR CD NC EN TR AT. ID M EXCEEDING V
3 ^MULTIPLES OF AQSTD* fSXt E41YE4R =riF7. 1» 5X// )
CALL RISKON
C
C START POPULATION CLASS LOOP
C '
C POPULATION CLASS = 1 FOR TOTAL POPULATION .
C POPULATION CLASS - 2 FOR SCHOOL AS E POPULATION
C POPULATION CLASS = 3 FOR EL CERLY PQ PU LATI CN
C POPULATION CLASS - 4 FQR M)N-UHITE POPULATION
C POPULATION CLASS =5 ALL WORKERS BY RESIDENCE.
C POPULATION CLASS - 6 ALL M>N-HO KERS BY RESIDENCE
C POPULATION CLASS = 7 ALL WORKERS BY WORK PLACE
C : • . . '. ' •
81 M=MINOI7»NPOPL) -r ^
OO 3U NP - IfM O c
TPOPL r 0.
DO 35 i - I.NRH: EP
K = iRECEPfltl)
TOTALP = RPOPLU.»H
•GO TO . C9lt 92*9 & 9»t 9 7t SB t9.9) iNP ........
31 HE NS TY • 1 I) ' = T OF «. P '
GO TO 36 '
32 . DENSTY f I) = TOT A-P * PO KNT (K tl 1/inb* .
GO TO 36
33 UEN5TY ( IJ = TOT ALP * PO.ENT «K »2 I/ 100.
GO TO 96
3H tENSTY 1 1) = TOT flLP *P ffCNTC Kt 31 /I 00 .
GO TO 36
37 CENSTY 
-------
DAI
2 HO
2*jl
2H2
2l*J
24• t7 F5 .1 J
UALL. uSf tl K ;
WRITE (6»100MTITLEt I) tl =1 tl 3)
MK 3TLI bf ZOUINRfcCtPfNRSAf NMONTt NS IT ES *N PO PL t N YE AR tS YE AR tD EL YR •
+ AQSTD
WRITE 09*3551 YE AR tNPt TP (P Lt TA t A •
355 FORMAT ( 10X» »RIS K FUNCTIONS FO R DATA SET '.SWEAR r, F8 .1 13 X*
6 9HFOHL CL =t 12 t3 X» 7HTPOPL =• Fl 0. 0* 5X »<».HT AR E«
3 3HA =t FID. 0//»: ,• - \:
tALL RbPCTK
C POTS
3O UONI INUt
70 CONTINUE ^ ^
YtAK.= YtAK + ULLYK . -*31
tO CONTINUE
STOP
SUBROUTINE SEARCH
COMMON AQST UtNR tC LP tNMONT tE PS *R EC IP 14 CD »2 1» NS JT EC 20 0) iR AN K( 20 0) t
lSITEt20Qt2)t CM Ft 20 0» 81 tRPOPL (30D.2)» AWTt 300) .DENSTYC 300) tT M EA tT PO
2 PL »CFRUl ,SU U» b) tl- (30U tt )? NOfciS t XL OW *X JN CK tN IN tK tP 11 LE 18 )
M=NMONT-1
uu iuu i ri *ri
K= 1+ 1
DO 1UU J rK tNMONT
IF (RANK(I)-RANK( J) ) mO»100tlD
C bUHJ I HL UISIANCtb IO MUNI TO KJ. Nj STATIONS IN A SC W UL NG ORDER /
10 AD JUST=RANKC I)
RANKfl j=RANK « J J
RANKIJjr ADJUST
C UKUhK IHt flONI IORXNB S»TA TION N UM BE K A GC OR DitC LY
lAJUSTrNSITE til
Nb> Jl hi II =Nii It { J }
NSITEIJ)=IAJUST
iUU  CON! UM I

-------
280
281
282
283 .
284
28b
286
28/
288
289
290
231
232
29.$
294
235
296
297
238
233
300
301
302
3 03
304
305
3C6
3U7
308
3 OS
310
ill
312
3x3
314
4 ID
316
i J.V
318
RETURN , ,
SUttROUIXNC RSPCtft ,
COMMON AQSTD»NR£CEPtNMONTtEPStRECB» <30Dt2l*r£ HO 2001 tRANKf 2001 »
1 SI TC (2 00 i2 It CM R 20 Of 81 sRPOPL 13 DO t2 It JMTf 3001 »D ENST YC 3001 tTJR EA tTPO
2PLtCFRQI300t 8) eF f 3OQ »4 It NOBS • XLOM* XI NCR* NIftC Re FT ZL EK 8)
DiHENSlOW RTMft «3D) tftlf 4t .Pftl t4t« WKA C4».PRkP »4 ). RK/SRi 4J ,RKPSR 14 )
3 tSASRi 4) tSPSR( 4)
UA IA RIHH /IDU.t 3D*t 80 •» 7U»t GO «t 5O * 45 *f 40 *t 35 »t 31 *t
3 25 .» 20 .t 15 ^ 12 .5 tl a »7 J5 tS * 3. t !• t. "B t. 5t J! . . 1* 0. O/
NRTHR r 24
WRITE (6«2QOI
20 U FORM AT llUX.' DISTRIBUTION A 10 FREOJENCY FUNCTIONS «t
1» OF. RISK AREA AND R JS K POPULATION V /I :
UK IT E| 6» 2O 91
209 FORM AT 14 OX, 'LAND ARE Af »4 OX t* TO WLATI ON V /» 2X .• % TI ME »» 14Xf 21 *D 2STR
IIBUTKN FUNCTIONS 5Xt»R?EQUE Nit FUNC TI ON *v 5X 1» /t 2X t* AB Q/ E* tl 8X t4 f
2 'THRESHOLD *t 17X))
210 FO RM AT I IXt THRESHOLD *t 8X t*» C5HL STD tlXt 5H 2 ST Ot IX t5 H3 ST)tlXt5H4 ST
IDt 3X1/1 x o
WH 11 L lb t210 1
DO 20 Jrlt4
KIIJI = U. ,
PRHJ1 = 0. ,
PRKAIJ1 = 0. .
PRKPIJ1 =0.
20 CONTINUE
PTKR = 100.
C ' • . . - ' •
C END INITIALIZATION AND START F* LOOP
uu 30 K-A»NK(HK
DELF = PTHR - RTHRCK1
. C
C START FS LOOP
t
DO 4 0 J _ '=• It 4
kA = Q . .
RP = 0 .
bu 5Qi — l»i^KEt>tf
3F(FtI»Jl.LT.RTHRC K) 1 GO T 0 50
KA — ,K A   + AW I I -L)

-------
320
321.
322
32^
325
326
328
323
330
331
332
334
336
337
338
J33
340 ,
341
342
343
344
345
346
347
348
343
350
.5 51
352
353
354
.555
3 56
3 57
358

RP = RP + ffiNSTY a )
5U . CUNI INUt
RKASR(J) ~ RA/TAREA
RKPSR(J) = Rp/tPOPL
SASRJJ) = (RKASR(J 1-PRKA fj
SPSRIJ) = (RKPSRN )-PRKP U
RI(J) r RItJ) + 0. 5> (RKASR
Hk 11 \t 1 — fKl ( J I -t- U» t>* tKKP
PRKA(J) = RKASR(J)
PRKPIJ-I - RKPSRI.JI
40 CONTINUE
MR ITEI 6t 22DRTHRI Kit IR KASR (J
1.4 >. CSPSR(J) iJrl .4)
221 FORF1AI t2X» f f * =? »F5« It 5X t<» 14
C ' .''•'-..
ft HK = RTHRl K)
30 CONTINUE
C
C END F* LOOP
C
WRITE 16.240) (R I( J) »J =1 .4 ) t
240 FORMAT (//I IX i* AVERAGE LAND A
2 POPULATION RISK ( IN X) ~ »t V
C ENDFB-E OUTPUT AFTER A BUNCH
RETURN .
SJbKOUIINfc. FKQNCY
COMMON AQSTDtNRECEPtNMONTtE
1 SITE 12 00 tZ)t CHFI 20 Of 8) tRPOPL
2PL.CFRQ( 300. 8) f 13 00 t4 )• NOBS
DIMENSION XM (30D )t YM (3 00)
DIMENSION S(2)tR(2)
Ql MENTION 55 12 Jt CORD. 12 )f CORU
1 100)
COMMON HNOCC aQO)tX( JO tlQOkf
DIMENS ION XX fl Or 10 0) .Y Y( 10 .1
nv AL ju aj
DO 10 I=ltNMONT
xh i J. i— Si. It u. t A i
YNC 1-1= SITE II»2)
10 CONTINUE
-

))
))
U.I * m KA (J )) «DELF
bK w 1+ f m pi j) )* it u-

)r J=l» 4) t(SASR fj )* J=lr 4) t ( RK PS W J) .J =1
F6 »3i2X) )
)1 tRSP KR tl.Kt RH P )5 11 ET IRW

' 0
crv ,
( FKK J) »J n,<» )
RE A RISK ( INZ) = *t . AWT( 300) ,D ENST Y( 30C) »T AR EA ,TPO
t XL OW .X 3N CR rN IN CR »P TI LE f 8 1
FO 13
If 2) tXSf 2Q 0) »YSC 2DO) tX N( ID vlOO )t YN 11 0» FO 14
FO 14
Yf 1D.1CL). P( 1C 1 100 It MDUNTN tNPDIST FO 15
001 FO 17
• '
.


-------
 360
                  WR ITE8 6e 1011 (PTIUE JI I« it 2«
 361
 362
 363
 364
              1D1
                             P3 P 4 P5 P
                                                 »  IS 0  IN •«. J" e? F5 «i /*
        FOHRMST7!/IX •• PI P 2
	DO 20  NrltNRECEP	..       	
        XR =SECEPCN tl)~   "
        YR=ftECEPINt2l
        Rt 11 =XR~"
        Rt 2) gf R /  .               	'
        JFtNPDIST. EQ.OIGO  TO 1H1
^	DOtldtMOUNTNl	.
        DO 19999  IrltHOUNTN
          MNDzHNODEtH	\  •            	•.
 C        DOtJ=lff   	                ..'....:	  .-• ..' '
 19998    CONTINUE   '•         ~
 C	D4D DO - •
 19999  CO NT INUE            '.         '
 mi   CONTINUE        •	;;.'.-	...,..:..!'.	
        DO 30  X=irNHONT"^^~
	CHECK=CHFlItl)
        IFtCtECK)  51 tS It 52
    51  DIST=9 ^ElO
	Gfl ro  B	••	=—		—"	
    52  XD ET=XHtI>-XR	
        YO £» I- YHII1-YR             '.              ^~
        OIST ±5QRT ( XDIST*XO 1ST* YD 1ST* YD 1ST I
 365
 366
                                                                                                RJ
                                                                                                FO
                                                                                             26
                                                                                             27
 367
 368
                                                                                                FO
                                                                                                IF
                                                                                             28
                                                                                             29
 369
 370
                                                                                                FO  1
                                                                                             29
                                                                                             30
 371
 372
                                                                                                IF  1
                                                                                             31
                                                                                             31
 373
 374
                                                                                                FO
                                                                                                FO
                                                                                         2
                                                                                         2
                                                                                            32
                                                                                            33
 375
 376
                                                                                                FO
                                                                                                FO
                                                                                         2
                                                                                         2
                                                                                            34
                                                                                            35
 377
 378
                                                                                                FO  2
                                                                                                IF  1
                                                                                             36
                                                                                             37
 380
                                                                                                IF
                                                                                             37
                                                                                             38
 381
 382
                                                                                                FO
                                                                                             38
                                                                                             39
 383
 384
 385
 386
-3T8T"
 388
 383
 390
 331
 392
~3T53~
 394
T55"
 396
                                                                                      FO
                                                                                      FO
                                                                               	F0~
                                                                                      FO
                                                                               	FO"
                                                                                      FO
—     Ybtii±u«u	;"	'—'	FO~
 C FIND THE COORDINATE OF  E AC H HOUNTA IN NODE IN  THE DOUBLE PRIMED SYSTEM  FO
                                                                                                       48
                                                                                                       49
       CALL  TRNSLTtStRt SSI
C AFTER ROTATION  THE STATION  POI
                                                    ISONTKlXfiOuELC
                                                                       TRTS"
                                                                                                       50
                                                                                                       51
                  XS(I)=DIST
 52
 53
-54-
 55
 398
 3 39
                   HE  T AI
                        tz i •
                                          *JL ii
                                                                                     FO
                                                                                             56

-------
400
4 01
402
403
404
405
406
.*» u7
408
403
410
411
412
413
414
415
416
417
418
413
420
4Z1
422
4 26
424
4 ZJJ
426
4Z7
428
430
4.31
432
4 £S
434
. 435
436
«t 3f
438
439
C
N •
C

C
19996
C
19997
C TEST
C STAT
C
C
C
• . *
*
13331
C
19932
1333.3
C
13 33 4
C
13335
C TEST
C
C
C

DO! J=1»MOUNTN) '•'-•
DO 19397 J=lfMOUNTN
MND=MNODE(J1
DOIKdtMND}
DO 19996 KrltMND
XNIJvKl-XX (JtKI* CO St THETA) +Y YC J» KI »S IN CTHETA
YNCJ?K»=-XX{Jt K)*S IN CTHETA )* YY (J »K J* COSt TH ET
tNU UU • ,
CONTINUE
END DO
CONTINUE
WHETHER EACH MOUNTAIN NODE IS ON THE X DOUBLE P
ION AND RECEPTOR POINTS
DO(J=1 tMOUNTN)
DO 19995 J=ltMOUNTN
MND=MNODE(J)
DOCK=ltMND J
DO 19994 KrltMNO
IFfYNC Jt KI ,£Q. Q. 0. AND. XN U fK 1. IE JJET .AND JJ
IF 1
YNCJvK). EQ.O.O.AND .XN( Jt K) J. E. 01 ST . AN D. XN (J
I GO TO 19991
GO TO 19392
CON1INUL
OISTd)IST+PI Ji W
LN U V"
CONTINUE
CO Ml INUt
END DO
CuNl IWUt
END 00
WHETHER THE STATION -RECEPTOR LINE C R3SS ANY M OU
UO |\I=X tHOUNTNl . ,
DO 19990 J=ltMOUNTN :'.}
K1=HNUUL Ul-.l ••-...'
DOtKrltHll
UU 1 33 89 K =3. f M 1
Jh (XNIJtK) JLU.XN IJ «K«1)1 GOTO 1 99 85
IF
FO
IF
» FO
A) FO
IF
IF
RIME AXIS AND BETWFO
FO
IF
FD
IF
N( Jf K) J3 T. 0 .0 > IF
•K }. GT • 0. 0

FO
IF
IF
IF
NT AI N RE 61 ON FO
IF
FO
IF
!F


1
1
2
2
1



1
1
2


3
2
1



1
1
2

57
57
58
59
59
60
61
62
62
63
63
64
65
66
66
67
68
68
69 S
69 °°
69
69
69
69
TO
71
71
71
72
72
73
73
74
75
75
76
77
78
78

-------

• • - . • • • : o
440
442
443
444
445
446
*%8
449
450
451
452
454
455
456
457
458
459
460 .
461
462
463
464
465
466
467
468
469
470
4 fl
472
474
4 fb
476
4 /./
478
479

19986
C

19 98 3
C

1998U
*+A B5
1
C
19981
19982
C
19984
19985
C
19 98 7
C
19977
C

13 a/ H
C
19971
* »+A
.!-._.
60 TO 13387
CONTINUE
IFIXNC J.K) »Li. XS (III
IFIXN1 JtKI «LE, XS (III O 0 TO 19382 •.
GO TO 13384
CONTINUE •
IF (YNC JtK)*YN( J»K+1) AT. 0. CD
IF , (Y N ( Jt K ) *Y N( Jt K+ 11 «L T* U« Ul 60 TO 1 99 8Q
60 TO 13381
CONT INUE
PENL=P(JtK>+ 0> Ul »K -4. H P( J> Kl I* «S( YN (J tK 1} /!
K+llll
LUST 33 1J»T+ HE NL
END IF
CONTINUE
CONTINUE -
EN D IF ; .',,....
CONTINUE •( 'i*' ' ' [•
CONTINUE
ELSE
GO TO 19988
CONTINUE .
IFCYNt JtK>*YN< J, KHI J_T. 0. 0)
IFIYNt J,K)*YN( vi K*- 1) J_T. Ct 0) G 0 TO 1 3977
GO TO 19978
CONTINUE
SLOPEr (YN( J, »-YN( Jt K* U 1 / IX N( Jt KJ-XN( Jt K* 11 }
IF tSLOPE.NE, 0. 01
IFilSLOPE .NE. 0. 01 GO TO 13974
60 TO 13375
XINTCPrXNC J» KI-YM Jt K) /SLOPE
JJ- IX INI C^. U. «Xil ll »A MJ .X IN 1C K. BT «0 «O 1
IF CX INTCP. LE 0( S < I) JV tO .X IN TC P. GT .0 J3 1 GO T 0
GO TO 1397 £.
CONTINUE
KENL ^P 1 J tK I* »P *J tK tl J— PI Jt Kl I* fttJbl YN U tK J )
BStYNfJt
K+:ll 11

IF

IF

«SI YN (J«K 1)FO
FO
FO
IF

IF
IF

IF

FO
IF

FO
JF
13371

/I ABM YN UJ tK FO
FD

3

4

5

b
4

3
2

3

4
4

5
5

t>

78
78
79
79
73
79
80
SO
8D
80
81
81
81
82
83
83
83
84
fife **^
85
85
85
8S
86
86
86
87
88
88
88
88
83
30
S3
93
30
91
91
31

-------
480
481
482
483
484
4 85
,486
1 Qf
488
483
430
431
492
433
494
4 35
436
4 37
498
4 33
500
501
502
5D3
504
505
506
507
508
503
510
5 11
512
513
514
515
516
517
518

C
19 97 2
19973
C
19375
19976
C
19978
13979
C
19988
C
13383
C
13 33 U
1112

53
30
130
33




50

DIST=DIST*PENL
END IF
CONTINUE
CONTINUE
END IF.
CONTINUE
CONTINUE
tNU ir . •
CONTINUE
CONTINUE . .
END IF
CONTINUE
END DO
CONI INUfc.
END DO -.-...'
CUN1 INUb
CONTINUE
O- |N«NL J.I GO TO 53
MVAL3)=MVALID*1
KA NKll I- UliT
NSITElIJrl x
CONI IN UE
1F1N.NE. 1) 60 TO 99
UK B L( 6f 19U) M VALID
FORMATCSXt 'NO. OF VALID M3HTORINS S TA TI ON S= M4 /)
CALL SEARCH
DO 40 0= It 8
TD =fl .
TC=0.
DO 50 K- It 3
M=NSITE(K»
D=RANKIKI
IFtD.LT. EPS) 60 TO 55
FWT=1«/D*»2
TD=TD*FWT
TC =T C* FW T* CM F( Mt J )
CONTINUE
U-RUlNtJl = Tt/TU
GO TO 40
FO 6 32 • !
IF 5 93
93
93
IF 4 94
94
94
JF 3 95
95
95
IF 2 ,96
96
IF 1 97
97
IF 98
98
FO 99
±



_-






513
RUIN tJ 1= Cnrl Ht J I:

-------

520
521
522
523
52*
525
526
527
528
523
530
531
532
533
534
535
536
537
538
533
5i}0
541
512
543
5V*
545
546
547
548
549
550
551
552
553
554
555
556
55f
558
5 59
...'•..'• ..'. •:.... '.:.••., . . o
' - 40 CONT 3NIE -' . ' ..'-•'. :" /' '- '' '
UK IT El Ge 11 01 N •rCFR@~lN »J >e »fc 1» 8B . •
11 0 FO RM AT I2X» «NO« =? »1 4« S( •• Ift X» P2 tP 3t F» »P 5e PS »P 7» P8 . P -TIL E £• v
3 8F 10 .1 )
20 CONTINUE
RETURN
SUBROUTINE TRNSLTf CORD 1» OR IG IN tC OR D2 »
DIMENSION CORDOI 21 tORIGINC 21 «C CRD2 Cl
DO 100 I=lt2
CORD2I I) rCORDl (Il-OR JG IN (I) .
100 CONTINUE
RETURN
SUBROUTINE DSP CTR ; 	 _, . ...;...
COMMON / LUPLCM / LUPLT '
COMMON AQSTOfNRECEPtNMONTtCPS»RECB> l30Qt2 ItNSITCf 200) tRANKf 200) t
1SITE(2QO*2>« CMF« 200t 8) tRPOPL I300t2)e AUTC 3001 tD EN STY! 300) tjt& EAvTPO
2PLtCFRQ(300f8)tFC30Qt4)tNOBS « XLOU» XZIC.R»NI NCRt PT IL Ef 8)
DIMENSION OTHRC40) tABS t^> tPQSI 3) tPSA R8 3) »PSPPC 31 »D A| 3) tDPi 3) »CHEK
3(3)t pOPAV6(3)f AREAV6 (3 ) » DS AR C3)t DSPP t3.ltAS.jfC I3'l» PS PC (3 I ±
UO Z5 1= It NINCK . . ~
25 DT HR  'POP UL AT 10 N» t/ »2 2X »2 l» DIST RI BU tl ON FUN Of 10 N' 1 5 *
2 V REQU EN CY FUN CT ION« f5X ) » / 1 1 7X t4 11 3X •• RE RC ENTX LE *) •/ IX »» CO NC ENT«
3t«RATION«t 13Xt4( »P2 P5 P7»t7XJ)
c . . ' . . • • '.'..,.....','
C COMPUTE A(D*)t PCD*)r SAID*)* SPIO*) FOR 50T H» 9 OT Hi 99 11 P B? C£ NT I
C ' . IE . ... . - . . • .-•••..»
DO 1U N=l»3
AQSIN) =0.
KQ S | N I = U. . 0
' .' PSAR(N-)'-=0.- • ' . 	 , 	 •_._ v './;..
Hi Hp INI ~ U. : .
10 CONTINUE
PT «* = DIHKCl) * XINCR ,
C END INITIALIZATION AND START D* LOOP
BO £. 0 J —i tN XN tK i
DO 3 0 N = It 3
DACNI ±i) . - 	 -. •-_ 	 . ---•••• 	 	 ---- -- .. -.;. ... ,, ••••-. -' 	 •• - • ••--.- - .••

-------
560
5bX
562
b63
564
565
566
5bf
568
563
570
571
572
573
574
575
576
57/
578
5 /a
580
bbl
582
58.S
584
5ei>
586
587
588
583
530
5 3J.
592
53,3
594
535
596
537
598
bay
DPCN)rO.
JU CUNTINU&. -
C END INITIALIZATION AND START RffiEPTOR LD (P
c
DO 40 jrlfNRECEP
UU 5 U N— It 3
SO TO 13 It 32*33) ?N
J 1 K— I '
60 TO 34
J Z K- 5
60 TO 3V .
^3 K=Z
34 CHEKtN) = CFRQ(I tK )- OTHRI J)
IF(CHEX(N))41t42»42
,41 SIGN = 0. .
60 I 0 43
42SI6N=1.
43 UA(N)rDA(N) + SI6N*AWTQ.)
DPCN) - DP(NI + SIGN * OCNSTYC D ^ 1^
5UU}NIJKUt. . i^J
40 CONTINUE
UE LC = P TH K — JIT HR IJ 1
DO 60 N=l»3
UbAKIN) r LM1N1/IARL.A .
DSPPINI = DPCN1/TPOPL
A^fUlN»-UbAKlNI-K^AK(NJ
PSPC(N> = DSPPfNI - PSPPCN)
AU^INI - AU5(N) + U. 5* lUbA HI N) -»PSA HI Nl 1* Ut LC
PQS(N) - PQS(N) + Q. 5* (DSPPf N) +PSPPC N) )*DELC
HiAKINirU^AKlNI
PSPPCN 1 .= DSPPCNI.
b 0 liO til JLN Ut
PTHR = DTHR(J)
HK U fc.1 bt £211 Ut MK( J l» tUbAKt NI tN =1 tJ If VC^f kl NI tN =1 f3 }f ID ? P( N) fN ^L *3
1 }f !PSPC(NlfN=l *3)
Zzi. i-uRrt A! izxt *o* =• f i- B« i» aoxf HI 3- *• 3* 2c ii . .
20 CONTINUE
uo z i i- i f .s . '
AQS(I) = AQS CH + DTHRfNINCRl
Zl WJM 11 - PUS U. 1 * DIHKIN1NCR) .

-------
600               DO  23 Js; 1,3
501
602
803
604
6 05
606
bU/
608
boa
610
511
612
614
614
bl&
616
blf
618
613
620
bZl
622
bZJ
624
625
626
627
628
5Z3
630
6 .Si
632
bii
634
b 3!>
636
b3/
638
b-Ja
POPAtfGIJI = Oo
AREAVG CJI! = 0.
GO TO (51*52v53)»J
51 K = 7 .-••••' ' . . •••"..-.•• .-.-:-• •'= • • '•
GO T O 5* ••'.'••':-"•
52 K = 5
UU 1 U W
53 K = 2
i»H CONT INUt
•00. 22 I r It NR SEP
POPA V(3 tO 1 = PUPAVG (J 1 + CFRQ U iK ) * DE dETY tl )
AREAVGtJI r AREA V6 CJI + CFRQCItK) * AHT( I)
t NOBS t ». OW • XI NCR9 N IN OR *»TI l£ (8 1
DIMENSION STDf 4>
STO< 11 .= AQSTO :
STDi2) = AQSTD * 2. j
^l bi ii = AusTLi * ..5 • 1
STDf 4) = AQSTD * 4 . ° j
UO lU I=ltNRtCtP . i
c. •• - , .... ;••:: .-;-•
C CUMKU IE P i> t-QR ABLVtNCSAItACHRtCEPTORFUINT j
c / • ' •' .,,••. -' j
UO ZU J=lvH •
- ' • K = 1 •: • - ..,;'.• ' - ' j
Jt f ST D(J>— ul-RbiijUKji 1 2t U. tl i. .'.-•''"'." ' • ' i

-------
640
b41
642
b44
6 44
b 45
646
b 4/
648
650
651
652
653
654
655
656
657
658
b53
660
661
662
663
664
6b5
666
667
668
6b3
670
1
1
2
2
1
2
1
2

F«
1*
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60 10
CHECK


30

4
42
43
3

1

1
32
2
0
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GO
PU
PL

K
JK
F<
to
CU
CL
IK
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= K
i
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FRGl
1) G
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FRQt
30
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00
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li
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IP TILE
NOBS .
IPTILE
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tK
TO
(K

• ' i
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Of
22
,
+1
4
'*
IK+1
- CLI:
= 1 PL >
0 20
ICU-ST
XrJ) - EXP
CONTINUE
X=R£
Y=R£

88
20
1


0
3
u
WK
FO
IT
KM
IT
FORM
SK =
CE
C£
If
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) *
1- 1

11
tl
ALOG IP L) + 1 STOI J) - CL) *ALDGt'FU » A OJ — C L) "-.
•

t R C EP II »1 >v RE CE PC I. 2)
Fl It J) t J =1 »4 1
CEPTOR NO. =* tl 4f 5X «• 1 ST D RI SK = V F 5., If 5X f« 2 ST D RI
t* 3 ST D RISK = »f F 5. 1» 5X t» 4 ST D RI SK = «f F5 .1 )
CONTINUE
RETURN
b /I                EMU

-------
TRRP*POR£XP,HY3RJD
 5
 6
 .7
 8
 9
10
13
14
IS
16
17
18
19
20
21
22
23
24
25
26
27
28
30
31
32
33
                                                   ....,.,..  .,.. ,-,-^:n -,    < , . .
                                                              -
               READ
                                                    .,=  _'.   .^.'  ." ' ^l ',-'-.
                               XFACT» XOFF-tVOFF* XW;i6fHrCHAR»NPLOT;pNP|:bT2
                                      '
                            (tAlv|!SE(I)»I=l>9)
                   DO 10 J=1»NPOLYS
                   N=NPTS(J)                                  .
                   READ(5»2) ( (Xf>OLYG( I » J) » YPOLYG( I » J» »I=1»N)
                   DO 15 1=1 »N            .
                   XPdLYSJ)-Y9FF            ,
                15 CONf INUE
                10 COMTINUE
                 1 FORMAT (M-OI2)
                 2 FORMAT <2Fi 0,1)                       .
                                     '             '
                   READ(5>3n(DATA(I»k) »XX(I»K)rYY(I»K)
                   DO 20 I=1>NK.   •  .
                   XX(I»K) = XX(I>k)->XOFF*..10*CHAR

-------
                                                                                        .
                                                                                       5;
35
45
46
49

50

51
52

53

54
55


57

58
             ,20 YY(I.K)  =
             ''
                 150' 26$
                ^NKsN^
                 po ibo *s
                 OQ 105 I=1»N
                            ^^
                                        -                    '
                                                           .  .
                                      **$? r^:   --v •••••••.' ••>.^
                               -•« ..*,-. f • ..^ •- ^iitr-v •••-•••?>•'•••
                       •••...:;'<•
                                                                                      K .j-

                                                                                      -=?.
                                                                                                                            I

-------
                                    TECHNICAL RRPORT DATA
                            (Please read Instructions on tha. reverse before completing)
   'EPCRT NO.
    EPA-450/2-77-024b
                                                            3. RECIPIENT'S ACCESSION-NO.
li. -iTLE
          SUBTITLE
  OAQPS No. 1.2-083a
'  users Manual for  Preparation of Air  Pollution
  Iscplsth Profiles and Population  Exposure Analysis
                                                            5. REPORT DATE
                                                                October,  1977
                                                            6. PERFORMING ORGANIZATION CODE
f7. *
                                                            8. PERFORMING ORGANIZATION REPORT NO,
•  Nei1 H. Frank   and  Margaret Swann
J3. ?21=O3K!Nfi ORGANIZATION NAME AND ADDRESS
i u.S.  Environmental  Protection Agency
 OfflG-i of Air and Waste Management
 Office of Air Quality Planning  and Standards
 Research Triangle Park, N.C.  27711
                                                            10. PROGRAM ELEMENT NO.
                                                            11. CONTRACT/GRANT NO.
 1't. SPONSORING AGENCY NAME AND ADDRESS
                                                            13. TYPE OF REPORT AND PERIOD COVERED
                                                                    Guideline
                                                            14. SPONSORING AGENCY CODE
                                                                   200/04
 16. SUPPLEMENTARY NOTES
 16. ABSTRACT
 This  report is a  companion document  to the "Guideline  on Procedures for  constructing
 Air Pollution Isopleth Profiles and  Population Exposure Analysis (OAQPS  No.  1.2-083)."
 It contains an overview of the analysis procedures and documentation for computer soft
 ware.   Three programs  (SYMAP, Tricon and Hybrid) can be used to produce  computer -
 drawn maps for isopleth analysis.  Two programs  (LPEM  and SPEM) are used for spatial
 interpolation and population exposure analysis.
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
                                               b.IDENTIFIERS/OPEN ENDED TERMS  C. COSATI Field/Group
  Air Pollution
  Air Quality  Monitoring
  Spatial Interpolation
  Population Exposure
  Data Analysis
18. DISTRIBUTION STATEMENT


 Release  Unlimited
                                               19. SECURITY CLASS (ThisReport)
                                               	 Unclassified
21. NO. OF PAGES

     116
                                               20. SECURITY CLASS (Thispage)

                                               	Unclassi fi ed
                                                                          22. PRICE
EPA Form 2220-1 (fi-73)

-------