Analysis Of The St Louis Rams (Regional Air Monitoring System) Ambient Particulate Data Volume II Technical Appendices


United States       Office of Air Quality       EPA-450/4-80-006b
Environmental Protection   Planning and Standards      February 1980
Agency         Research Triangle Park NC 2771 1    /A /
Air
Analysis of the St.  Louis
RAMS Ambient
Particulate  Data

Volume  II:
Technical Appendices

-------
                                                 EPA-450/4-80-006b
                Analysis of  the St.  Louis
          RAMS  Ambient Particulate  Data

                            Volume  II:
                   Technical  Appendices
                                    by

                        John Trijoms, John Eldon, John Gins,
                             and George Berglund

                          Technology Service Corporation
                            2811 Wilshire Boulevard
                          Santa  Monica, California 90403


                            Contract No. 68-02-2931


                              EPA Project Officers:

                               Thompson Pace
                    EPA Office of Air Quality Planning and  Standards
                      Research Triangle Park, North Carolina 27711

                                James Reagan
                    EPA Environmental Sciences Research Laboratory
               _  .  ..Research,TrJangle Park, North Carolina 27711
U.S. Environmental Protection Agency
Region V, Library
230 South Dearborn Street  .        Prepared for

Chicago, Illinois  60o04  u s E(W(RONMENTAL PROTECTION AGENCY
                         Office of Air, Noise, and Radiation
                      Office of Air Quality Planning and Standards
                     Research Triangle Park, North Carolina 27711

                               February 1980

-------
This report is issued by the Environmental Protection Agency to report
technical data of interest to a limited number or readers.  Copies are
available free of charge to Federal employees, current contractors and
grantees, and nonprofit organizations - in limited quantities - from the
Library Services Office (MD-35), U.S. Environmental Protection Agency,
Research Triangle Park, North Carolina 27711; or for a nominal fee,
from the National Technical Information Service, 5285 Port Royal Road,
Springfield, Virginia 22161.
This report was furnished to the Environmental Protection Agency by
Technology Service Corporation,  2811 Wilshire Blvd. ,  Santa Monica,
Ca. 90403, in fulfillment of Contract No. 68-02-2931. The contents of
this report are reproduced herein as received from Technology Service
Corporation.  The opinions, findings, and conclusions expressed are
those of the author and not necessarily those of the Environmental
Protection Agency.  Mention of company or product names is not to be
considered as an endorsement by the Environmental Protection Agency.
                  Publication No. EPA-450/4-80-006b
                    US. Environment Prote
                                              n

-------
                            TABLE OF CONTENTS
APPENDIX A     1976 ANNUAL AND MONTHLY STATISTICS FOR PARTICULATE AND
               METEOROLOGICAL DATA.

APPENDIX B     MAPS OF PARTICULATE ELEMENTAL CONCENTRATIONS.

APPENDIX C     TABLES RELATING PARTICULATE ELEMENT CONCENTRATIONS TO
               SITE CHARACTERISTICS.

APPENDIX D     TABLES OF INTERSTATION CORRELATIONS.

APPENDIX E     METHODOLOGY FOR THE REGIONAL UPWIND/DOWNWIND ANALYSIS.

APPENDIX F     DETAILED DATA ON HEBDOMADAL AND DIURNAL PATTERNS AT
               SITES 103 AND 105, ORGANIZED QUARTERLY AND ANNUALLY.

APPENDIX G     WEEKEND-WEEKDAY DIFFERENCES OF TWELVE PARTICULATE
               PARAMETERS AT THE TEN RAMS SITES.

APPENDIX H     DECISION-TREES RELATING FINE AND IP TO ELEMENTAL CONCENTRATIONS,

APPENDIX I     DECISION-TREES RELATING TSP, IP, FINE, COARSE, AND EIGHT
               ELEMENTAL CONCENTRATIONS TO METEOROLOGICAL VARIABLES.

APPENDIX J     DECISION-TREES RELATING IP/TSP RATIO TO ELEMENTAL
               CONCENTRATIONS AND METEOROLOGY.
                                   TM

-------
                               APPENDIX  A

                  1976  ANNUAL AND MONTHLY  STATISTICS_FOR
                   PARTICULATE AND METEOROLOGICAL  DAlA.
                                CONTENTS

Table                                                                 Pa9e

A.I   1976 ANNUAL AND MONTHLY STATISTICS FOR TSP
      (MICROGRAMS PER CUBIC METER)	A-l

A.2   1976 ANNUAL AND MONTHLY STATISTICS FOR IP
      (MICROGRAMS PER CUBIC METER)	A-2

A.3   1976 ANNUAL AND MONTHLY STATISTICS FOR COARSE
      (MICROGRAMS PER CUBIC METER)	A-3

A.4   1976 ANNUAL AND MONTHLY STATISTICS FOR FINE
      (MICROGRAMS PER CUBIC METER)	A-4

A.5   1976 ANNUAL AND MONTHLY STATISTICS FOR SULFUR
      (NANOGRAMS PER CUBIC METER) 	  A-5

A.6   1976 ANNUAL AND MONTHLY STATISTICS FOR SILICON
      (NANOGRAMS PER CUBIC METER) 	  A-6

A.7   1976 ANNUAL AND MONTHLY STATISTICS FOR ALUMINUM
      (NANOGRAMS PER CUBIC METER) 	  A-7

A.8   1976 ANNUAL AND MONTHLY STATISTICS FOR CALCIUM
      (NANOGRAMS PER CUBIC METER) 	  A-8

A.9   1976 ANNUAL AND MONTHLY STATISTICS FOR LEAD
      (NANOGRAMS PER CUBIC METER)	A-9

A.10  1976 ANNUAL AND MONTHLY STATISTICS FOR VANADIUM
      (NANOGRAMS PER CUBIC METER) 	  A-10

A.11  1976 ANNUAL AND MONTHLY STATISTICS FOR TITANIUM
      (NANOGRAMS PER CUBIC METER) 	  A-ll

A.12  1976 ANNUAL AND MONTHLY STATISTICS FOR IRON
      (NANOGRAMS PER CUBIC METER) 	  A-12

A.13  1976 ANNUAL AND MONTHLY STATISTICS FOR WIND
      SPEED AND  DIRECTION	A-13

A.14  1976 ANNUAL AND MONTHLY STATISTICS FOR
      LAMBERT FIELD METEOROLOGICAL PARAMETERS  	  A-14

-------
                 TABLE A.I    1976  ANNUAL AND MONTHLY  STATISTICS FOR TSP
                                (MICROGRAMS PER CUBIC METER).
     STATION

      NUflBER
  AR1TH MEAN

    ARITH SO
     MAXinun
 2ND HIGHEST
     hiNinurt

    GEO MEAN
     GEO SO

JAN  NUMBER
  ARITH MEAN
    GEQ MEAN
FEB
HAH
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
103
        IflS
106
        108
                               112
                       ns.
                                                               122
                                                       124
103
35.7
36.9
243.1
186.9
29.3
88.6
1.5
8
89.9
85.6
8
110.7
109.7
10
77.8
73.0
8
103. S
99.6
7
87.5
75.6
7
91.4
85.0
9
102.6
101.5
8
97.5
89.8
10
124.2*
115.7
10
91.8
81.7
8
91 . Da*
80.9
10
79.7
75. 6
>v Month
*ft Month
109
87.8
33.3
202.1
182.3
27.7
81.8
1.5
11
73.5
69.2
6
108.1
103.3
11
73.7
63.4
9
88.8
86.3
7
82.4
78.3
10
88.6
84.3
7
83.1
87.1
10
105.2**
97.7
10
94.4
31.7
9
83.7*
78.0
9
80.1
71.6
10
89.5
82.5
in which
in which
108
77.1
31.6
203.3
133.8
27.6
71.6
1.5
11
67.0ft
57.6
8
80.7
73.3
10
E4.7
61.5
6
63.2
66.6
8
71.8
68.3
8
80.6
77.0
10
75.9
73.5
3
34.8
86.8
10
90.8
88.3
9
73.7*-,
66.6
3
76.3
69.9
10
73.9
70.7
max i mum
second h
100
80.1
37.2
193.4
164.6
23.4
71.8
l.S
10
52.8
50.2
8
100.9*
91.3
9
63.3
64.3
10
33.4
34.2
8
77.2
71.8
6
102.2
32.6
4
80.9
79.5
7
81.3
74.3
3
88.7**
80.7
10
83.3
67.9
3
71.2
64.8
10
65.8
53.2
occurs.
ligheat oci
109
78.9
51.9
483.5
175.3
25.4
69.0
1.6
10
52.2
43.3
8
74.9
70.3
10
60.3
55.0
9
102.1
34.5
9
67.3
64.2
9
81.8
75.2
8
143.1*
103.3
10
92.3
86.2
8
103.1ft*
95.6
9
58.5
51.7
3
62.1
54.3
10
63.9
53.8

curs.
105
53.7
27.5
135.3
136.4
21.2
54.3
1.5
11
37.3
36.7
7
47.3
44.6
B
41,4
38.8
7
61.6
58.1
3
59.9
54.2
8
68.8
65.0
8
75.8
72.4
10
77.9*
67.1
10
64.1
62.5
10
66.9,'nV
60.6
9
62.2
56.2
10
50.5
47.4


39
65.7
23.3
137.1
161.3
18.0
60.0
1.5
8
44.0
43.3
6
66.3
61.8
10
53.8
50.1
3
85.0,v
75.3
3
66.6
62.7
6
87.0
82.6
9
82.8
77.9 "
8
64.8
62.5
10
72.4
71.1
8
66.4
64.7
7
60.3**
47.3
9
42.9
40.4


103
52.6
20.9
144.5
106.3
16.3
43.0
1.5
11
39.7
38.5
7
54.5
51.1
11
42.0
40.3
8
57.3
55.6
9
43.0
45.2
6
53.4
56.6
8
53.5
52.3
7
56.9
53.0
10
60.2
57.9
8
58.2ft
43.4
g
S4.2*ft
48.4
9
55.7
53.2


102
55.0
25.7
144.8
127.3
13.1
43.7
1.6
11
36.7
35.4
6
50.0
48.0
9
37.5
34.9
7
60.8
58.5
10
56.8
51.3
8
79.1
73.8
7
54.7
52.8
10
64.8
53.3
9
72.4**
68.3
3
61.3ft
43.8
g
51.1
47.0
9
40.3
33.4


104
52.3
27.0
165.2
123.3
13.7
47.1
1.6
11
34.3
31.5
7
41.8
40.3
9
43.5
47.1
9
88.4ft*
83.0
g
55.6
51.7
9
57.1
52.3
7
56.8
50.6
10
55.3
51.1
10
61.4
58.5
3
54.6*
44.6
3
44.7
33.3
g
35.2
34.2


                   (If the months coincide only one month is flagged.)
                                              A-l

-------
              TABLE A.2    1976  ANNUAL AND MONTHLY STATISTICS  FOR  IP
                             (MICROGRAMS PER CUBIC  METER).
    STATION
                   103
IPS
                                   IPS
                                           1.08
                                                           us.
                                                123.
122.
                                                                                           LZ4
    MAXIMUM
 2ND HIGHEST
    niNinun

    GEO MEAN
     GEO SD

JAN  NUMBER
  ARITH MEAN
    GED MEAN
FEB
MAR
APR
KAY
JUN
JUL
AUG
SEP
OCT
MOV
DEC
275
27.9
32.1
46. S
60.0
29.7
202.5
155.5
10.2
53.3
1.6
24
36.0
33.7
22
47.4
42.9
27
52.7
51.0
20
60.6
55.4
22
60.5
55.4
29
96.5*
31.3
20
67.5
63.7
21
73.8
67.7
23
71.2
67.7
27
50.4
42.6
21
50.2
42.4
13
46.1
44.3
282
23.0
22.3
43.8
45.7
25.2
157.2
143.1
8.4
33.3
1.7
28
28.4
25.0
20
39.3
37.6
30
30.4
28.0
29
43.6
39.9
21
49.2
44.6
28
71.8
66.5
31
39.8
36.3
19
71. S**
59.1
22
53.0
50.6
20
51.0*
44.8
19
43.4
39.7
15
32.1
29.2
183
24.0
24.5
50. P
47.3
23.7
146.4
124.2
1P.O
42.7
1.6
28
30.3
28.6
13
38.3
36.3
24
34.0
31.7
26
50.0
45.3
23
46.5
42.3
20
62.9
59.2
16
52.6
49.0
27
70.3*
63.6












221
23.8
24.4
49.3
48.4
23.8
141.2
126.5
6.3
42.4
1.7
28
36.2
32.1
25
43.8
38.7
13
. 37.3
33.2
26
52.3
45.3
28
51.2
47.2
24
60.3*
56.3
16
57.5
53.0
11
59.2
49.5
15
66.3
61.4
3
28.9
27.0
15
40.3
35.4
11
35.3
34.0
257
20.8
22.3
49.1
43.9
22.6
124.9
120.8
7.8
38.3
1.7
20
32.3
29.8
10
43.5
40.2
30
33.2
30.7
29
48.3
42.8
27
37.5
32.8
27
59.9
55.8
21
58.4**
53.1
18
64.1*
58.3
19
54.7
51.7
25
36.5
32.9
20
21.5
19.7
11
37.5
34.4
221
19.3
18.7
52.4
37.8
18.9
123.1
103.0
10. P
33.6
1.6
23
23.7
22.6
25
25.5
23.3
18
28.1
26.3
21
41.9
37.7
26
35.1
32.5
17
62.4*
58.8
23
57.3
53.5



18
46.8
45.3
6
31.8
28.4
16
33.8
37.0
28
29.4
27.9
274
18.1
17.3
51.3
34.9
16.4
95.9
94.1
8.3
31.3
1.6
21
22.6
21.3
26
27.8
26.1
27
27.5
25.3
27
33.2
30.3
26
40.4
38.5
20
53.9**
50.4
27
42.0
40.3
9
56.2*
50.3
25
43.6
41.3
25
27.7
26.4
17
32.4
28.0
24
26.3
23.4
227
13.3
16.5
54.5
37.0
16.9
11S.1
103.2
3.5
33.5
1.6
8
24.2
23.7
21
28.9
27.6
26 ,
27.3 ,;
26.4
28
33.7
36.6
28
35.5
33.1
23
46.4
44.5
14
45.7
43.7
20
62.8*
53.5
3
45.2
42.4
15
25.8
25.0
17
28.1
24.0
18
30.4
28.7
240
16.8
16.7
50.8
33.1
18.4
104.7
36.1
4.1
28.5
1.8
27
13.3
18.8
22
26.7
24.1
« 21

i?!s
25
35.5
31.6
23
35.4
31.7
28
58.1*
54.4
16
38.2
35.8
7
47.6
41.8
13
40.0
37.9
12
34.2
30.7
16
21.1
17.7
24
26.1
24.5
171
15.7
12.7
56.0
28.5
13.0
89.6
75.3
6.2
25.9
1.6
23
28.9
27.7
23
21.9
2P.4
23
21.5
20.2
25
30.1
27.8
18
36.5
34.5
21
25.3
24.4
21
23.3
21.4
11
53.7-;,
51.5












                 *  Month in which maximum occurs.
                **  Month in which second highest occurs.
                    (If  the months coincide only one month  is flagged.)
                                            A-2

-------
                TABLE A.3  1976  ANNUAL AND MONTHLY STATISTICS  FOR  COARSE
                             (MICROGRAMS PER CUBIC  METER).
     STATION

      NUMBER
  ARITH MEAN

    ARITH SO
     MAXIHUH
 2ND HIGHEST
     niNinun

    GEO MEAN
      GEQ SD

JAN   NUMBER
  ARITH MEAN
	GEQ MEAN
FEB
MAR
APR
MAY
JIN
JUL
AUG
PEP
OCT
NOV
DEC
103
        105
                106
                        108
                                112
115.
111
120.
                                                                122
                                124
288
32.1
17.1
106. 8
31.8
.0
27.4
1.9
24
19.0
17.1
22
25.8
21.4
27
29.0
27.5
28
34.3
31.2
24
31.8
28.8
29
43.0*
46.1
20
35.4
32.5
21
33.4
29.7
23
43.2
41.1
27
25.9
17.6
24
31.0
2S.O
19
22.9
21.7
291
22.9
12.3
87.7
64.3
.3
19.4
1.3
29
14.7
12.9
20
21.8
20.6
30
16.7
14.7
29
23.6
21.7
21
28.1
25.7
23
33.0
29.8
31
17.0
14.7
23
28.8
21.0
25
27.6
25.9
20
26.3*
21.0
19
22.9
20.4
15
15.2
13.2
191
24.5
12.6
61.6
58.9
4.2
21.4
1.7
28
14.3
13.5
19
20.4
19.6
24
16.1
14.6
26
28.8**
25.0
23
25.5,*
22.9
27
33.2
31.1
16
22.8
20.5
28
31.9
29.0












240
24.4
13.8
69.8
68.6
1.6
20.2
2.0
28
17.0
14.8
25
23.3
18.9
29
19.3
15.9
26
28.9
23.5
28
23.5
26.3
24
30.9**
27.7
17
28.4
25.0
12
21.7
13.2
16
37.7*
34.7
3
11.5
9.1
15
19.3
16.6
11
15.8
14.7
263
22.9
14.0
83.7
80.3
1.3
18.3
2.1
20
17.4
15.0
10
26.9
23.0
30
17.3
15.3
30
30.3**
25.9
27
22.3
18.8
27
29.3
26.6
23
32.8*
29.1
18
28.6
26.6
20
28.4
25.6
25
14.8
10.5
22
8.2
6.5
11
16.1
14.0
230
18.7
11.2
63.5
46.5
.3
15.1
2.1
24
10.6
9.7
26
12.9
10.7
19
12.8
11.6
22
21.7
17.8
27
18.3
15.8
17
29. S
28.1
24
23.0*
25.2



21
23.5
22.2
6
15.3
6.7
16
22.5
17.7
28
12.6
11.0
287
17.3
9.0
41.4
40.6
1.1
14.7
1.3
21
10.8
3.2
26
14.3
12.8
27
13.3
12.3
28
17.3
15.4
27
20.2
18.7
21
19.7
18.2
27
22.1
20.2
14
23.6
20.8
23
25.1**
23.6
26
13.1
10.3
17
15.8*
12.0
24
12.1
10.7
257
16.5
8.3
43.6
41.7
.0
14.4
1.7
8
10.3
10.8
24
13.0
12.0
27
12.0
11.2
28
18.9
16.9
31
16.7
15.2
26
18.4
16.2
15
21.0
13.3
27
23.1*
21.2
16
23.5
22.2
15
9.0
7.6
17
13.4
11.5
23
13.1
11.9
253
16.7
10.6
51.5
48.0
.3
13.4
2.0
28
8.5
7.3
23
12.3
10.5
22
3.6
8.1
25
18.5
16.1
23
19.8**
16.2
23
23.5*
27.4
18
18.3
16.3
7
15.3
11.9
22
22.4
20.6
13
17.0
14.0
19
13.7
10.1
24
12.6
11.3
182
12.7
8.1
46.0
37.4
.0
10.0
2.2
30
14.3
13.6
24
11.'
9.
2..
10.4
9.2
25
16.5
14.8
22
22.7*
20.8
24
5.1
4.6
22
5.1
3.6
12
19.5
18.6












                    Month in which maximum occurs.
                    Month in which second highest occurs.
                    (If the months coincide only one month is flagged.
                                              A-3

-------
      STATION

       NUMBER
   ARITH MEAN

     AR1TH SO
     rtAXIdlJM
  2ND HIGHEST
     MINIMUM

    GEO MEAN
      GEO SD

 JAN   NUMBER
   ARITH MEAN
  .  GEO MEAN
 FEB
 MAR
 APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
                 TABLE A.4    1976 ANNUAL  AND  MONTHLY STATISTICS  FOR  FINE
                               (MICROGRAMS  PER  CUBIC  METER).
105
                iea
112
                               us.
                us.
                                               120.
                                122
                                                               124
280
27.3
16.0
35.7
85.3
1.3
23.3
1.8
24
17.0
15.7
22
21.6
13.6
27
23.7
22.6
20
24.5
22.5
22
23.6
26.3
23
47.5v,
43.2
22
31.7
30.1
22
41.6
37.7
23
28.0
24.3
28
24.0
20.2
22
18.0
14.1
19
23.2
21.5
* Month
*ft Month
234
23.0
14.1
88.1
82.3
1.9
13.3
1.8
23
13.9
12.4
20
17.6
15.3
30
13.6
12.4
23
20.0
17.6
28
21.5
19.1
28
38.3
35.8
31
22.3
20.6
13
42.2-.V
36.1
23
25.3
24.3
21
24.4
20.8
21
21.4
18.7
15
16.9
15.5
in which
in which
211
24.0
13.0
87.5
72.5
5.5
21.2
1.6
28
15.5
14.6
23
17.8
16.8
27
18.5
17.3
27
21.6
13.3
30
23.0
21.2
23
32.3
30.1
20
28.4
25.8
27
38.4*
33.9
wax i mum
second t
243
23.8
12.7
80.5
77.1
4.2
20.7
1.7
28
19.2
16.5
25
20.6
18.6
13
17.3
15.5
27
23.1
20.6
28
21.6
13.1
26
32.4*
23.3
18
23.3
27.5
13
35.7**
28.6
19
28.4
25.4
16
18.3
16.2
15
20.4
18.0
15
20.2
18.9
occurs.
liahaat ocr
308
20.8
11.6
74.8
60.7
3.0
18.0
1.7
30
15.2
14.4
26
17.5
16.3
31
15.3
14.2
23
17.6
15.8
28
15.3
12.8
28
31.0
28.1
21
25.3
22.3
21
34.2*
30.3
24
27.0
24.3
30
21.2
13.6
24
13.7
12.6
16
20.7
18.1

lira.
272
13.3
10.1
77.4
67.1
3.3
17.1
1.6
24
13.3
12.4
26
13.0
12.0
18
15.6
14.5
21
13.3
17.6
28
17.7
16.3
18
32. 3*
23.3
28
27.4
25.5
18
21.8
17.4
19
24.4
22.6
25
16.5
15.8
13
17.3
16.4
28
16.8
15.7


288
18.1
10.8
75.8
70.3
3.1
15.5
1.7
21
11.8
11.1
27
13.3
12.0
23
13.4
12.4
27
15.5
14.1
28
21.4
20.0
22
33.2*
29.0
27
19.9
17.8
3
34.6
31.2
25
13.2
15.7
26
14.3
14.1
19
17.1
15.1
28
15.2
13.1


254
19.9
10.7
66.5
61.5
1.9
17.2
1.8
15
14.1
13.2
21
15.4
14.6
25
15.0
14.2
23
20.6
13.2
28
18.1
16.4
24
27.3
24.8
22
22.8
13.7
20
33.2*
37.6
3
19.3
16.6
13
16.1
13.9
21
14.1
11.3
20
15.6
14.6


261
16.8
10.4
54.2
53.1
1.4
13.8
1.9
27
11.4
10.3
22
14.4
12.5
21
10.7
9.1
26
16.5
14.2
25
15.7
13.3
29
23.3*
26.8
16
13.0
16.8
12
30.3
28.9
22
17.2
13.9
13
17.2
15.6
17
3.0
7.8
25
13.5
11.6


181
15.7
8.8
58.6
52.6
2.5
13.6
1.7
30
14.8
13.8
23
10.6
3.3
23
11.0
10.1
25
13.6
12.2
21
13.7
12.9
22
20.7
18.8
26
17.2
15.1
11
33.2*
31.2


                    (If the months coincide only  one month is flagged.)
                                              A-4

-------
       TABLE A.5    1976  ANNUAL  AND MONTHLY STATISTICS  FOR SULFUR
                     (NANOGRAMS PER CUBIC  METER).
STATION
103.
                    105.
IPS
       103
112
us.
us.
                                     123.
122.
NUMBER
A h FINE
R E COARSE
I A % FINE
T N TOTAL
H STD DEV
MAX I HUM
2ND HIGHEST
niNinun
GEO MEAN
GEO SO
JAN NUMBER
ARITH MEAN
GEO MEAN
FEB


MAR


APR


HAY


JUN


JUL


AUG


SEP


CCT


NOV


DEC


287
2939.4
555.1
83.1
3524.5
2540.9
15486.4
149S1.5
712.2
2868. 1
1.9
23
1936.7
1889.2
22
2572.9
2302.0
27
2463.8
2231.4
27
3222.5
2798.0
24
3509.4
3000.4
29
5431.7*
4280.9
20
4670.7
4256.2
21
6270.1
5405.7
23
4731.3
3990.6
28
2999.6
2634.8
24
2201.1
1897.0
19
2264.2
1934.0
309
2799.5
318.2
88.4
3118.1
2412.1
16955.4
16053.2
492.1
2483.5
1.3
30
1879.4
1738.4
23
2136.6
1887.1
30
2074.9
1860.3
29
2817.6
2402.0
28
2824.1
2502.6
29
4649.4
3621.5
31
3761.5
3332.8
22
6422.1*
5217.0
25
4491.1
3913.1
22
2700.3
2358.9
19
1883.5
1544.3
15
1460.9
1320.2
218
3116.2
375.3
88.2
3494.3
2723.3
16531.7
16149.1
620.3
2773.4
1.9
28
1775.1
1690.7
29
2645. 8**
2109.8
28
2317.3
2082.2
27
3040.4
2608.3
30
3389.3
2884.9
29
4712.2
3751.3
19
3628.4
3149.3
28
6467.1ft
5492.1












it Month in which maximum
** Month in which second 1
260
2925.6
336.7
88.8
3257.0
2277.2
14971.0
14668.6
328.4
2667.1
1.3
27
2297.7
2073.6
26
2712.2
2418.3
29
2489.7
2166.3
26
3191.9
2715.6
27
3154.0
2677.2
26
4818.5
3779.2
19
3723.1
3307.3
13
6201.0*
5106.1
20
4680.1
4099.5
16
2465.7
2291.4
15
2145.5
1787.7
16
1335.7
1728.7
occurs.
311
2651.5
295.4
88.8
2948.5
2248.7
14456.9
13664.7
459.6
2318.8
2.0
30
1736.8
1613.2
27
1953.5
1732.3
31
2220.2
1385.1
23
2886.3
2437.0
27
2825.6
2342.5
27
4323.3**
3900.0
24
4027.3
3455.6
21
5505.3*
4723.4
24
4272.8
3658.8
29
2634.3
2283.9
26
1165.2
1030.1
16
1793.1
1507.5

291
2627.4
184.4
92.2
2768.4
1724. S
14734.8
10811.7
675.4
2371.4
1.7
24
2199.8
2014.6
25
1938.3
1802.3
31
2155.6
1943.9
26
2613.7
2219.9
28
2572.8
2323. 0
17
4448.8*
3686.1
28
3800.4
3465.6
23
4220.7
3521 . 4
18
3876.0
3465.3
25
2313.1
2171.2
18
1914.6
1771.6
28
2007.4
1825.3

284
2501.1
217.7
91.4
2705. 1
2031.5
15112.3
12273.6
492.8
2179.4
1.9
21
1571.1
1476.3
26
1827.3
1611.4
26
1317.1
1722.5
27
2372. 0
1384.7
27
2855.2
2399.4
23
4687.8**
3745.2
27
3427.0
3039.8
9
6867.4*
5853.6
25
3684.3
3104.7
27
2214.4
2067.3
19
1953.0
1691 . 8
27
1683.1
1458.6

263
2523.3
202.2
91.3
2744.9
2044.5
12207. 8
10905.6
294.4
2129.0
2.1
11
1787.7
1488.9
16
1866.1
1662.0
22
2147.7
1921.6
29
2640.9
2278.2
31
2759.0
2311.7
24
4222.0*
3379.4
22
3103.2
2623.8
28
5145.2**
4386.4
16
3113.5
2355.8
19
2017.4
1869.6
21
1319.0
1021.2
24
1397.0
1188.4

268
2358.9
157.5
91.8
2536.3
1351.2
11451.7
10611.0
313.5
1355.2
2.1
27
1708.4
1532.0
23
1883.5
1638.2
22
1675.8
1482.2
26
2538.3
2080.1
23
2378.5
1306.0
30
130
2241.2
142.6
32.8
2388.6
203S.7
15430.5
13621.6
376.0
1885.4
1.9
30
1569.2
1417.5
25
1S92.2
1470.7
24
1764.3
1586. 8
25
2348.5
1953.9
24
2330.6
2078.5
24
4129,4** 2682.6
3205.4
17
2647.4
2241.7
12
5485.5
5253.6
23
3617.9*
2726.8
21
2537.0
2088.4
19
1003.5
884,8
25
1635.7
1403.3

2007.4
26
2201.4
1861.8
12
7153.4*
6312.7













highest occurs.
              (If the months coincide only one month  is flagged.)
                                   A-5

-------
         TABLE A.6    1976  ANNUAL AND  MONTHLY STATISTICS FOR  SILICON
                       (NANOGRAMS  PER CUBIC  METER).
STATION
              102
1Q5
106
108
                                            112
                       us.
                                              120
                                                                          122
NUI1BER
A M FINE
R E COARSE
I A t FINE
T N TOTAL
H STD DEV
MAX i nun
2ND HIGHEST
MINIMUM
GEO MEAN
GEO SO
JAN NUMBER
ARITH MEAN
GEO MEAN
FEB


MAR


APR


MAY


JUN


JUL


f.\jr,


SEP


OCT


NOV


DEC


287
291.7
4494.7
6.6
4781.6
2891.1
17671.4
16840.7
247.8
3873.3
2.0
23
2722.4
2083.8
22
4657.2
3771.4
27
3625.8
3169.9
27
5164.1
4177.4
24
4888.5
3928.6
29
5516.6
4903.0
20
S536.6
5734.8
21
5454.3
4672.3
23
6239.5*
5654.7
28
4163.5
3231.4
24
5324.2**
4237.6
13
3049.8
2782.8
309
251. S
3354.5
7.6
3606.3
1990.5
13400.0
9567.8
295.6
3064.6
1.8
30
2180.2
1324.7
23
3368.1
2903.0
30
2538.5
2233.0
29
3318.9
3444.6
28
4213.4
3700.4
29
4241.3
3929.9
31
3507.2
3124.1
22
4377.3
3677.1
25
4917.9
4729.0
22
3780.5*
2584.2
19
3610.6**
3197.2
15
2616.3
2441.4
218
405.5
3737.6
9.9
4198.6
2247.2
11752.3
11195.2
426.1
3587.5
1.8
28
2664.5
2318.8
23
3586.2
3180.9
28
3538.2
3043.0
27
4832.3
4117.4
30
4502.2*
3756.4
29
5020.3
4539.5
19
4152.8**
3727.1
28
5270.3
4719.2












260
288.2
3835.6
7.6
4123.4
2856.4
15506.7
14311.8
278.5
3134.8
2.1
27
2172.3
1807.0
26
4163.2
3204.6
29
3132.2
2573.2
26
4691.3
3849.1
27
6233.6*
5098.3
26
5667.3
4735.1
19
294
272.1
4068.5
7.9
4332.7
3340.8
20796.6
16787.5
237.0
3168.3
2.3
30
2231.9
1938.7
27
3736.3
2367.9
31
3332.1
2827.6
29
7017.8
5468.1
10
3821.7
3386.2
27
5232.7
4587.1
24
5838.4** 7813.2*
4857.5
13
3818.9
3068.2
20
4899.7
4315.5
16
2292.2
1554.4
15
3061.6
2903.6
16
2212.3
2117.3
6599. 1
21
4393.4
4562.5
24
6692.4
5652.2
23
2914.5
1832.4
26
1755.5
1364.1
16
2282.0
1946.2
291
252.4
3273.0
3.4
3505.8
2607.6
13143.8
12814.7
80.0
2559.9
2.4
24
1738.1
1474.4
25
2746.5
2088.1
31
2505.6
2032.0
26
4425.6
3441.0
28
4961.5*
3863.7
17
5153.5
4341.6
28
5174.7**
3607.1
23
2131.6
1190.2
18
4440.4
4217.1
25
3506.6
2707.8
18
3940.1
3272.7
28
2076.1
1767.1
284
243.6
2689.3
8.3
2856.0
1869.8
11179.7
9662.4
244.3
2290.4
2.0
21
1708.3
1454.6
26
2553.3
2063.8
26
2434.5
2012.1
27
3178.3
2510.4
27
3291.6
2703.0
23
3020.3
2679. 0
27
4451.1*
3790.1
9
3538.2
3258.1
25
3715.3
3302.3
27
2144.4
1625.1
19
2613.4
2063.3
27
1754.9
1605.5
263
195.7
2515.1
8.2
2736.4
1636.0
8804.7
8438.5
60.3
2203.5
2.1
11
702.3
436.6
16
3003.5*
2518.4
22
1366.1
1685.1
29
3364.8
2816.6
31
2705.5
2176.4
24
2543.2
2339.3
22
238
190.7
2866.3
7.2
3033.1
202S.3
11032.2
8652.0
60.7
2250.1
2.5
27
1695.5
1323.5
23
2864.6
2347.9
22
2083.8
1678.8
26
4182.2
3585.5
23
2995.3
2316.8
30
3848.0
3280 . 7
17
3836.4** 3859.4
3553.4
28
2395.8
2655.8
16
4280.9
3957.3
19
1980.5
1371.2
21
2624.0
2236.3
24
1972.1
1833.3
3446.3
12
2544.4
2180.1
23
190
199.2
2025.9
19.7
2219.9
2056.1
12005.6
9633.4
87.7
1311.1
3.2
30
1693.7
liiC 0
i^^O. O
25
2506.5
?nqi n
4LUiJJi . U
24
2182.7
1787.2
25
3484.9
2750.3
24
4375.6*
2784.7
24
402.5
320.6
26
462.7
328.4
12
3507.2
3325.3

3793.1**
3215.8
21
2940.6*
1273.3
2
110.5
108.9
12
2151.9
2008.9










              Month in which maximum occurs.
              Month in which second highest occurs.
               (If the months coincide only one month  is flagged.)
                                      A-6

-------
              TABLE  A.7    1976 ANNUAL AND MONTHLY  STATISTICS  FOR  ALUMINUM
                             (NANOGRAMS  PER  CUBIC METER).
      STATION
     MAXinun
  2ND HIGHEST
     MINIMUM

     GEO MEAN
      GEO SD

 JAN   NUMBER
   ARITH MEAN
     GEQ MEAN
 FEB
 HAR
 APR
 HAY
 JUN
JUL
AUG
SFP
CCT
NOV
DEC
                    103
                            105.
IBS.
                                            108,
                112
                                                            115.
                                118.
                                                                            123.
                                                122
                                                                                            124.
237
177.0
1353.)
12.3
1528.7
856.1
4752.0
4454.3
34.3
1281.5
1.3
23
968.6
732.6
22
1667.2**
1312.2
27
1235.7
1043.9
27
1493.0
1178.6
24
1253.5
1043.2
23
1604.6
1447.3
20
2153.2*
1306.4
21
1733.0
1573.8
23
1810.5
1678.1
28
l'tGO.7
1286.9
24
1817.0
1545.6
19
1242.9
1177.9
309
166.4
972.6
15.7
1138.5
563.2
3342.4
3237.8
130.5
1007.6
1.7
30
763.1
634.6
23
1027.1
300.0
30
758.2
663.3
23
1056.6
351. 9
28
1035.9
384.4
29
1208.8
1146.3
31
1231. 4**
1162.2
22
1466.4
1317.6
25
1535.0
1430.3
22
1343.5*
1126.3
13
1225.1
1142.2
15
1033.3
1029.3
218
150.2
387. 3
14.3
1134.7
543.2
3703.1
2575.0
110.3
1003. S
1.7
28
774.0
688.2
29
1035.0
388.0
28
350.3
833.8
27
1311.2
1150.0
30
1061.2**
938.3
23
1225.7
1145.1
13
1224.3*
1086.1
28
1474.1
1385.2




260
143.9
1053.2
13.2
1133.3
734.0
4287.4
4027.3
89.0
985.3
1.3
27
729.3
604.1
26
1365.7
1054.5
23
938.4
803.3
26
12S8.9
1085.3
27
1523.8**
1230.2
2S
1315.5
1136.7
19
1754.3*
1509.4
13
1210.1
1056.6
*5n
ZQ
1331.6
1213.8
16
821.3
641.8
15
1052.0
373.3
16
876.2
842.0
234
168.5
1133.5
16.0
1302.0
965.3
£454.8
5200.3
138.5
1017.3
2.1
30
715.3
636.4
27
1160.1
373.8
31
354.0
828.5
23
2063.4
1630.8
10
353.6
84S.3
27
1413.6
1272.3
24
2431.2*
2038.7
21
1413.3
1323.5
24
1786.2
157S.1
29
1053.4
775.8
26
607.9
518.2
16
338.3
803.8
291
103.3
842.7
13.7
948.5
621.3
4139.8
3363.4
103.7
763.5
2.0
24
530.2
462.4
25
778.5
618.8
31
711.2
607.7
26
1160.2
358.0
28
1148.2
948.4
17
1164.2
1035.3
28
1436.5*
1124.6
23
612.3
422.7
18
1085.4
1049.6
25
922.3
783.3
18
1177.8
1040.3
28
771.0
707.2
284
105.9
716.3
13.6
807.6
500.7
3673.5
3416.5
94.5
683.1
1.8
21
517.3
443.6
26
762.3
633.7
26
710.3
576.3
27
803.1
674.8
27
751.0
652.2
23
746.7
695.4
27
1350.0*
1120.3
9
1057.1
987.1
25
966.7
902.4
27
630.6
602.3
19
788.2
669.8
27
651.8
600.9
263
117.0
673.4
16.5
799.9
435.3
2722.7
2693.9
15.7
673.2
2.0
11
267.9
187.2
16
225.3*
795.7
22
510.4
433.4
29
968.9
821.9
31
707.9
612.8
24
753.3
713.9
22
1068. 3ft*
949.3
28
S63.7
797.1
16
1099.7
1049.6
19
690.5
528.3
21
832.0
729.1
24
723.8
683.4
238
78.7
709.3
10.9
785.1
473.3
2395.8
2338.2
33.7
625.3
2.1
27
502.5
407.4
23
841.2
716. 3
22
585.3
485.1
26
1055.6
915.6
23
649.6
522.5
30
886.8
795.4
17
1053.6**
926.3
12
771.6
695.2
23
872.0
739.4
21
773.6*
436.3
2
75.0
65.1
12
692.7
539,0
. 190
76.3
523.0
22.2
593.1
460.1
2704.6
1863.7
5.3
400.8
2.8
30
553.5
502.5
25
704.1
612.3
24
617.2
501.3
25
863.4
658.5
24
356. S*
663.0
24
146.7
121.1
26
135.8
133.2
12
971.3
916.3




                 *  Month in which maximum occurs.
                **  Month in which second highest occurs.
                    (If the months coincide only one month is flagged.)
                                            A-7

-------
                TABLE  A.8     1976  ANNUAL AND  MONTHLY  STATISTICS  FOR  CALCIUM
                                (NANOGRAMS PER CUBIC  METER).
      STATION
                    103
105.
                                    106
                                                     112
                                115.
                                                                     US.
                                                 121
                                                                                     122
                                                                 124
     MAXIMUM
  2ND HIGHEST
     niNIMUH

    GEO MEAN
      GEO SO

 JAN   NUMBER
  ARITH HEAN
    GEO MEAN
 FEB
[1AR
APR
HAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
287
158.4
3144.0
4.9
3288.5
2021.7
10321.4
10494.9
135. 4
2656.0
2.0
23
1918.2
1425.0
22
2993.2
2350.1
27
2503.0
2213.5
27
3827.2
3114.9
24
2755.2
2197.0
29
3692.3**
3146.3
20
3749.3
3285.4
21
3319.7
3305.9
23
4301.6*
4011.0
28
3463.5
2573.9
o/,
-------
     STATION
     MAXinun
  2ND HIGHEST
     MINI nun

    GEO MEAN
      GEO SO

 JAN   NUMBER
  ARITH MEAN
    GED MEAN
 FE3
 MAR
 APR
 HAY
JUN
JUL
ALT,
SEP
OCT
NOV
DEC
                TABLE A.9    1976  ANNUAL AND  MONTHLY  STATISTICS  FOR  LEAD
                               (NANOGRAMS  PER  CUBIC METER).
                   103
                           105
                                   105
108
                                                  112
                                                                  112.
                               120
                                                                                 122
                                               124
287
540.9
143.7
78.8
683.2
531.5
6046.7
4275.0
63.7
538. 3
2.0
23
603.4
430.3
22
702.6
584.9
27
490.0
383.6
27
584.1
453.8
24
498.3
431.8
23
692.3
583.2
20
631.0
577.7
21
747.3
634.8
23
788.0
686.2
28
1018.4*
650.1
24
726.2
513.2
1 Q
13
632.8
601.2
* Month
** Month
303
623.0
186.0
77.5
811.8
583.7
6036.9
4643.7
35.4
683.6
1.8
30
333.0
806.2
29
816.3
684.1
30
613.1
542.0
29
627.6
505.3
28
733.8
650.3
23
712.3
631.0
31
623.8
590. E
22
889.2ft*
709.2
25
932.5
805.0
22
1134.4*
854.9
13
1038.3
954.2
15
964.6
826.6
in uhich
in uhich
217
6S5.8
204.3
76.0
869.5
415.2
2735.2
2412.4
135.6
782.8
1.6
28
940.8**
852.8
23
880.5
782.7
28
813.2
736.3
27
831.4*
700.0
30
868.7
805.9
28
823.8
756.3
13
7S8.8
636.1
28
394.6
925.0

259
577.5
173.7
73.5
753.0
949.1
11929.0
5332.5
41.1
538.5
2.2
27
1218.1*
533.3
25
816.2
635.2
29
634.3
470.3
26
648.7
523.1
27
635.4
490.6
25
661.4
562.0
13
664.3
504.0
13
701.5
629.7
20
810.8
673.9
16
733.7
441.0
15
721.8
489.0
16
648.6
589.5
311
709.9
180.3
79.2
831.1
554.6
4353.5
4116.1
130.4
753.6
1.8
30
770.8
653.2
27
372.5
738.2
31
695.2
620.8
29
856.6
755.5
27
728.8
657.8
27
788.4
735.4
24
747.6
681.2
21
1119.3
1005.2
24
1204.6
1094.7
23
1194.5*
366.4
26
674.0
524.0
IE
1115.6
891.1
231
328.6
65.8
83.1
335.9
254.9
1720.1
1205.3
46.0
324.5
1.3
24
474.6
386.3
25
380. 5**
237.7
31
300.3
233.4
26
354.3
291.7
28
377.1
297.3
17
406.5
342.8
23
465.1
428.1
22
275.6
252.6
18
427.2
373.7
25
333.7
328.8
18
458.2
373.4
28
464.1*
371.1
284
283.6
86.6
78.6
371.0
287.3
2358.6
2038.4
42.7
235.8
2.0
21
332.7
345.6
26
238.3
252.0
26
233.0
230.7
27
327.3*
13S.8
27
339.3
286.5
23
335.9
275.0
27
411.2
356.1
3
337.7
315.7
25
330.2
233.8
27
446.3
374.4
13
583.5**
438.2
27
382.7
315.0
258
529.1
123.5
80.8
652.6
369.8
2477.7
1971. S
111.4
566.4
1.7
8
502.8
423.8
19
514.9
447.6
17
470.8
426.3
29
610.4
530.0
31
581.5
529.1
24
675.3
624.4
22
495.7
453.3
28
823.2
747.1
16
883.7
807.8
13
7SS.S**
660.7
21
755.0*
578.1
24
670.4
535. 1
268
180.1
23.9
85.3
211.3
172.2
928.8
815.7
17.4
152.0
2.3
27
181.7*
121.8
23
282.8
198.5
22
126.0
30.4
26
215.0
164.3
23
134.0
102.8
30
200.6
161.2
17
164.3
130.1
12
312.6
272.3
24
236.8
138.6
20
307.3**
231.5
13
155.9
94.7
25
256.7
194.5
137
147.6
41.2
81.8
188.2
246.0
2102.4
1861.1
31.8
136.2
2.0
29
325.7*
223.3
24
221.4
159.6
24
223.3**
129.4
25
115.3
103.0
24
169.3
142.0
24
103.0
90.4
25
124.4
112.7
12
200.6
183.9

maximum occurs.
second h
iahast oc
:cur3.





                   (If the months coincide only one month is flagged.)
                                            A-9
-------
               TABLE A.10    1976 ANNUAL AND MONTHLY  STATISTICS FOR VANADIUM
                               (NANOGRAMS  PER  CUBIC METER).
    STATION

     NUMBER
 A M    FINE
 R E  COARSE
 I A  X FINE
 T N   TOTAL
 H  STD DEV
    MAXIMUM
 2ND HIGHEST
    tiiNinun

   GEO MEAN
     GEO SO

JAN  NUMBER
  ARITH MEAN
   GEO flEAN
FE3
flAR
APR
KAY
JUN
JUL
AUG
SEP
OCT
MOV
DEC
103
125.
106
                               112
                               us.
120.
122
124
287
3.2
3.3
45.6
7.1
7.3
61.1
29.7
.0
4.5
2.3
23
.0
1.1
22
.0
1.1
27
.1
1.1
27
7.1
5.4
24
7.3
G.3
23
9.3
7.4
20
10.2
7.7
21
9.8
7.8
23
13.3
10.8
28
10.3ft
6.9
24
9.3
6.6
19
9.6
8.2
* Month
** Month
309
3.3
2.2
60.0
6.1
5.6
32.5
23. S
.0
3.8
3.1
30
7.8
6.1
23
7.8
6.5
30
6.3
3.3
23
6.2
5.1
28
7.7*
5.5
23
2.9
1.3
31
1.4
1.3
22
5.3
2.2
25
6.4
5.3
22
4.5
2.7
19
4.8
2.8
IS
15.3ft*
15.0
in which
in uhich
217
3.8
2.3
58.1
6.1
5.0
27.3
23.0
.0
4.1
2.7
28
5.6
4.1
23
6.5
4.7
28
6.6*
4.5
27
4.5
3.1
30
5.3
3.8
28
8.4
5.8
19
3.6
2.3
28
7.4ft,v
5.0












maximum
second
253
5.5
4.9
51.0
10.4
9.4
63.7
52.3
.0
7.1
2.6
27
11.7*
5.6
26
16.4
13.7
29
10.0
5.9
25
8.3
6.4
27
9.3
7.6
25
3.0
7.2
13
8.3
• 6.5
13
4.0
3.3
20
15.8**
3.2
16
10.8
7.3
15
8.7
7.1
16
8.4
6.7
occurs.
311
3.6
3.1
54.5
6.8
5.7
23.3
28.7
.0
4.6
2.8
30
4.1
2.5
27
5.6
4.5
31
8.6
7.0
29
9.4
7.9
27
4.3
3.4
27
3.8
2.4
24
7.1
4.1
21
5.3
3.5
24
10.9
8.3
29
3.3*
7.1
25
3.8
2.7
16
10.2
7.5

291
3.3
1.8
58.6
5.2
4.8
24.3
24.2
.0
3.7
2.5
24
5.8
4.3
25
6.8
4.8
31
5.0
4.2
26
6.0
5.0
28
4.3
4.3
17
2.6
2.0
23
1.3
1.8
22
.3
1.2
18
8.1*
5.0
25
5.5
4.0
18
3.0
7.1
28
7.4
5.3

284
1.8
1.2
53.9
2.9
3.3
22.7
13.0
.0
2.1
2.5
21
2.3
2.1
26
4.7
3.7
26
4.6*
3.4
27
3.0
2.2
27
3.1
2.6
23
2.3
1.9
27
1.2
1.2
3
.2
1.1
25
1.7
1.4
27
2.3
1.5
13
3.3
2.2
27
4.2**
2.9

258
1.8
1.0
57.7
2.7
3.2
17.9
16.9
.0
1.9
2.7
8
2.6
1.8
13
5.6*
4.1
17
5.0
3.4
23
3.4
2.5
31
2.4
1.8
24
1.9
1.6
22
.3
.8
28
.5
.9
16
5.3
3.7
19
2.9
2.4
21
2.0**
1.6
24
3.0
2.2

268
1.3
.9
56.5
2.2
3.3
20.3
17.1
.0
1.6
2.6
27
3.7**
2.0
23
5.1
3.3
22
2.7
2.4
26
2.8
1.3
23
.8
.3
30
.4
1.0
17
.5
1.2
12
.2
1.1
24
1.4
1.6
20
2.6
1.8
13
1.3
1.0
25
4.0*
2.4

187
1.2
.8
51.8
1.3
2.0
10.3
8.5
.0
1.7
2.1
29
2.4*
1.3
24
2.1
1.5
24
1.3
1.5
25
3.2
2.9
24
2.7
2.2
24
.6
1.2
25
.0
1.1
12
2.3**
2.3













highest occurs.
                    (If the months coincide only one month is flagged.)
                                           A-10
-------
               TABLE  A.11    1976 ANNUAL AND MONTHLY  STATISTICS  FOR TITANIUM
                               (NANOGRAMS  PER  CUBIC METER).
     STATION
                   103
105.
106.
ISS.
112
                                US.
12S.
                                                                                   122
124
     tiAXinun
 2ND HIGHEST
     niNinuri

    GEO I1EAN
      GEO SD

JAN   NUHBER
  ARITH MEAN
    GEO MEAN
FE3
HAR
APR
HAY
JUN
JUL
AUG
SEP
OCT
MOV
DEC
287
21.3
140.9
13.5
162.5
243.2
3116.3
1240.0
.0
72.3
5.0
23
17.5
4.3
22
81.1
24.6
27
52.4
18.3
27
135.2
133.1
24
181.3
127.4
23
180.2
102.5
20
264.4
235.2
21
1B2.3
133.0
23
213.5
165.8
28
254.8*
105.2
24
174.3
135.5
19
164.0
33.3
303
35.4
187.3
1G.O
222.6
366.6
3685.4
3038.1
1.3
119.0
3.0
30
61.1
41.3
23
168.8
120.0
30
131.8
85.6
23
137.0
137.9
28
245.4
170.8
23
218.3
120.1
31
225.3
155.2
22
311.7
152.8
25
36S.2
210.6
22
460.3*
114.5
19
199.7
117.7
15
151.2
118.1
217
90.2
440.6
15.4
534.2
816.3
5399.7
4820.0
12.5
213.2
3.3
28
142.1
71.2
23
893. G**
308.4
28
576.6
204.5
27
530.9
237.7
30
385. 3
225.9
28
566.4
320.0
13
236.3
140.5
28
785.1*
333.3












253
19.7
114.1
15.5
133.6
143.0
1353.4
708.8
3.2
87.3
2.6
27
61.5
46.2
26
170.7
110.0
23
107.2
63.8
26
146.8
106.3
27
181.8
134.0
25
124.2**
82.1
19
182.3
147.3
13
141.4
30.3
20
167.0
130.8
36
134.3*
51.4
15
107.2
87.3
16
72.5
64.7
311
40.3
187.3
16.0
228.5
336.6
3331 . 1
2204.7
2.4
117.8
3.2
30
87.0
43.3
27
295.0,i
111.7
31
131.3
36. 2
29
382.6
263.0
27
156.5
37.5
27
168.1
129.0
24
352.3
248.5
21
371.4
202.8
24
324.3
215.7
29
246.5**
107.3
26
77.4
46.3
16
208.7
34.6
231
12.4
73.2
17.2
92.1
84.7
472.4
461.0
.0
57.8
3.2
24
38.6
31.2
25
71.3
54.8
31
74.1
55.6
26
122.4**
88.2
28
148.3
103.8
17
122.2
74.1
29
124.7
83.0
22
33.5
8.0
18
108.4
96.6
25
76.1
60.4
18
104.8
87.2
28
80.9*
56.7
284
32.7
138.3
17.3
172.0
233.7
1332.5
1E2S.O
.0
83,6
3.4
21
148.1
70.5
26
131.5
109.3
26
102.7
72.9
27
112.6
62.5
27
134.4
109.2
23
175.8
67.8
27
137.3*
80.1
3
86.7
60.1
25
222.4**
115.9
27
133.8
77.3
13
260.4
138.2
27
253.2
138.3
258
14.8
74.0
15.5
91.3
114.3
353.1
882.7
.2
56.5
2.8
8
15.6
8.6
19
137.2**
65.8
17
82.6
53.7
29
114.2
75.1
31
69.5
58.5
24
55.3
41.7
22
36.0
74.8
28
152.3*
84.3
16
131.4
104.0
13
55.5
42.3
21
60.6
40.4
24
75.7
44.3
268
7.2
57.6
14.3
84.7
58.0
232.2
231.4
.0
41.3
3.0
27
31.9
23.5
23
87.8**
63.5
22
53.4
41.3
26
38.7
74.4
23
58.1
25.0
30
50.8
31.5
17
63.3
44.9
12
42.3
23.0
24
68.5
47.0
20
86.0*
53.9
19
57.4
39.4
25
67.3
50.3
187
6.1
38.4
15.2
44.1
43.8
231.5
208.1
.0
21.2
4.6
29
31.6
25. 8
24
51.3
44.8
24
41.3
35.0
25
65.6
54.4
24
34.0*
63.6
24
3.7
2.1
25
10.3
3.6
12
69.5
53.7












                 *  Month in which maximum occurs.
                **  flonth in uhich second highest occurs.
                    (If tha months coincide only one month  is flagged.)
                                            A-ll
-------
    STATION
    MAXIMUM
 2ND HIGHEST
    MINIMUM

   GEO MEAN
     GEO SO

JAN  NUMBER
  ARITH MEAN
   GEO MEAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
              TABLE  A.12    1976 ANNUAL AND MONTHLY  STATISTICS FOR  IRON
                              (NANOGRAMS PER CUBIC METER).
                  103
                          105
                                  106
                                          108
                                                 112
115
112.
121
122
                                                                                        124
287
217.5
1600.0
12.5
1817.2
1037.7
7707.6
5307.7
233.1
1533.2
1.8
23
1020.2
847.1
22
1702.1
1469. 8
27
1287.4
1181.6
27
2031.7
1774.5
24
1824.1
1572.2
29
2047.0
17B3.6
20
2131.4
1994.3
21
2188.7
1373.2
23
2426. 5**
2251.9
28
1345. 3*
1539.2
24
1322.3
1620.3
13
1201.9
1077.2
303
236.1
1010.1
13.2
1246.0
764.2
7031.6
3886.2
148.7
1054.8
1.8
30
800.2
697.3
23
1147.0
1041.3
30
967.6
849.4
23
1503.4
1274.2
28
1413.3
12SS.7
23
1226.3
1112.6
31
1030.2
344.1
22
1768.6
1524.3
25
1646.7
1523.5
22
1445.0s
333.4
13
1157.5
385.8
15
333.5
736.1
217
283.3
1073.8
20.1
1357.6
781.2
4133.7
4107.4
135.8
1148.0
1.8
23
327.7
773.6
23
1544.1
1278.8
28
1388.2
1108.4
27
1560.1
1333.3
30
1340.1**
1130.8
28
1206.1
1112.1
13
1002.3
884.2
28
1773.4*
1618.3












* Month in which maximum
** Month in which second 1
253
280.0
1431.0
16.5
1717.4
1458.3
3147.1
7959.8
108.0
1201.8
2.4
27
13S0.5
851.1
26
2476.5*
1712.1
23
1574.8
980.2
26
2302.2
1723.1
27
1874.4
1451.1
25
1385.8
1155.0
19
1833.3
1522.0
13
1557.1
1210.0
20
2166.1**
1615.5
16
1160.4
649.3
15
1169.7
360.4
16
1079.5
836.3
occurs.
311
161.8
320.1
16.7
1082.6
781.4
6103.4
4248.0
65.7
837.3
2.1
30
634.3
577.0
27
1091.1
883.7
31
868.5
727.4
29
1778.0
1480.2
27
960.2
862.4
27
1033.7
337.7
24
1764.6*
1471.2
21
1426.2
1231.2
24
1521.6
1333.3
29
739.5
564.6
26
396.0
325.4
16
733.3
592.4

231
118.6
646.4
18.6
763.6
451.4
2506.2
2321.2
83.2
632.0
1.9
24
546.7
482.2
25
660.8
574.3
31
612.6
540.3
26
906.6
777.3
28
1027.0*
881.6
17
344.5
818.1
29
964.4**
760.1
22
465.4
335.3
18
389.3
341.2
25
736.6
624.6
18
852.0
768.3
28
551.2
483.1

284
123.6
568.1
13.4
686.2
362.8
2144.8
2082. 7
95.1
536.4
1.7
21
543.2
47S.7
26
631.5
622.8
26
557.4
471.9
27
653.8
570.6
27
707.3
647.8
23
653.7
573.6
27
325.0
738.3
9
820.3
732.3
25
806.4
745.1
27
622.5
546.8
13
748.6**
624.7
27
580.0*
496.7

258
104.7
508.7
17.4
623.8
350.2
2140.3
1610.3
57.4
527.0
1.9
8
248.3
203.7
13
663.7
544.2
17
546.4
482.0
23
777.2
672.3
31
551.2
478.0
24
546.8
506.2
22
724.6
656.5
28
827.1**
747.6
16
336.3*
8b5.3
13
442.9
359.8
21
506.6
429.8
24
465. 6
421.3

268
109.6
523.3
18.0
639.2
363.5
1356.6
15S5.8
78.5
532.8
1.3
27
441.9
3S4.6
23
743.3
652.8
22
433.2
355.6
26
859.6*
757.8
23
5S1.1
440.1
30
634.2
602.0
17
723.2
647.4
12
733.5
736.7
24
7B6.5
633.8
20
717.6
571.2
13
484.0
396.4
25
516.2
464.3

187
80.8
334.6
31.4
411.6
305.4
1622.3
1233.4
22.4
284.5
2.7
23
333.6
361.1
24
483.7
442.7
24
428.0**
364.1
25
574.5
505.1
24
659.3*
517.5
24
35.9
76.0
25
122.7
85.5
12
S75.3
631.1













lighast occurs.
                    (If the months coincida only one month is  flagged.)
                                          A-12
-------
       TABLE A.13   1976 ANNUAL  AND  MONTHLY  STATISTICS  FOR  WIND
                      SPEED AND  DIRECTION.
                        5133.
SI 05
     NUMBER
  ARITH MEAN
    ARITH SD
    MAX 1 flUtl
 2ND HIGHEST
    niNinw
JAN  NUHBER
  ARITH MEAN
FEB
RAR
APR
RAY
JUN
JUL
ADC
SEP
OCT
NOV
DEC
ID SP

358
3.9
1.8
10.5
9.4
0.2
23
4.3
27
5.0
31
5.1**
30
4.3
30
3.5
30
3.6
28
3.3
31
2.8
30
3.0
31
3.7
30
4.2
31
3.6*
UIND DIR
(Compass).
358
S***




29
NU*ftft
27
S
31
S
30
S
30
S
30
S
28
SU
31
S
30
S
31
S
30
NU
31
NU
AV UD SP
m/Secl
351
3.4
1.5
8.5
7.3
0.3
26
4.0
27
4.3
31
4 . 5**
30
3.6
31
3.2
30
3.3
28
3.1
31
2.5
30
2.6
31
3.1
25
3.2
31
3.1*
WIND DIR
(Comnassl
361
S




23
U
23
S
31
S
30
S
31
S
30
S
31
SU
31
S
30
S
31
S
27
S
31
NU
AV UD SP
in/Sec)
352
3.9
1.9
3.8
9.3
0.3
26
4.7
25
5.1
31
5.1*
30
4.3
31
3.5
30
3.6
26
3.6
31
2.7
30
3.0
31
3.4
30
4.2
31
3.8
UIND Din
ICompassL
3G3
S




30
NU
28
S
31
S
30
S
31
SU
30
S
30
SU
31
S
30
E
31
S
30
NU
31
NU
                 *  nonth in which maximum occurs.
                **  nonth in which second highest occurs.
                    (If  the months coincide only one month is  flagged.)
               ***  Predominant  yearly or monthly direction.
                                     A-13
-------
         TABLE A.14    1976  ANNUAL  AND  MONTHLY STATISTICS  FOR
                          LAMBERT  FIELD METEOROLOGICAL  PARAMETERS.
               IUXIIT AM nixiiT PH DIN TEMP MAX TEMP %nEL nun PERCIPIT //DAYS PP D?AH  pns #DY CALM
                       (Hat-frs)   iHeg gi   (D.-n Cl	(%)	tnl  	(Aval. 	 (fibs).
      NUMQEn
  AR1TH MtAN
    ARITU SD
 2ND HIGHEST
     I1INII1UI1
JAN   NUI1DER
_ ARITH HFAN
PIS
RAH
APT)
JUL
AUCf
scF
ocT
NUV"
DEC"
282
507. V
323.3
1500.0
1435.3
143.0
22
vi4.i
26
573. S
25
5GO.O
22
453.3
21
/i 03. 9
22
431.1*
26
411.3
25
347.4
22
431 . 0
99
4Gl75;,.v
26
502,2
23
G(-;I.U
232
113G.4
453.2
1GOO.O
15G4.2
143.0
22
717.3
25
351.7
25
1045.3
22
1274.2
21
1246.0
22
1331.5
28
1371.4
25
13G3.6
22
1302. 3.w,
22
1147.G
26
1142.2-.V
23
G30.1
3GG
G.4
10.4
24.4
24.4
-17.3
31
-6.8
23
0.3
31
3.2
30
7.4
31
10.0
30
17.2
31
20.4*
31
17.5
30
13.5
31
4.5
30
-2.3
31
-7.4
3GG
13.4
11.3
37.2
38. 7
-13.3
31
3.0
23
12.8
31
15.7
30
20.1
31
22.3
30
23.2
31
32.4*
31
29. G
30
26.8
31
16.3
30
3.7
31
4.2
3GS
6S.G
13.7
100.0
33.3
28.4
31
74.3
23
68.1
31
74.3
30
64.7
31
65.5
30
66.6
31
66.5
31
67.3
30
65.2
31
71.1*
30
6G.3.V*
31
71.3
3G6
83***
3.0
13
13
3
31
7***
23
7
31
13*
30
7
31
13;\*
30
3
31
6
31
G
31)
6
31
G
30
3
31
G
.^^-— j-i- __
3G5
5.5
4.8
24.0
23.0
1.0
30
3.2
23
3.8
31
3.0
30
3.1
31
3.4
30
5.3
31
5.1
31
3,3
30
6.2
31
5,3
30
10.4*
31
7.3
3G5
0.0
7.2
27.4
22.8
-13.5
30
-0.1*
23
-0.3**
31
0.2
30
0.1
31
-0.4
30
0.2
31
-0.1
31
0.3
30
-0.2
31
0.2
30
0.2
31
-0.0
-• • ' • t.'
368
1.0
1.4
3.0
9.0
0.0
31
0.6
23
0.2
31
0.4
30
0.6
31
0.3
30
1.0
31
0.7
31
2.5*
30
1.6
31
1.0
30
0.3
31
1.1
                    Ilontli In tihich maximum occurs.
                 *.>  HoiTth in uhich second highest occurs.
                     (If the months coincide only one month  is flagged.)
                     Total  nuinber of days of precipitation in the year  or nonth.
                                         A-14
-------
                              APPENDIX B

            MAPS OF PARTICULATE ELEMENTAL CONCENTRATIONS
                               CONTENTS
Figure                                                                Page

B.I  Geographical  distribution of particulate sulfur in the
     St.  Louis area (yg/m3)	     B-l

B.2  Geographical  distribution of particulate silicon in the
     St.  Louis area (yg/m3)	     B-2

B.3  Geographical  distribution of particulate aluminum in the
     St.  Louis area (yg/m3)	     B-3

B.4  Geographical  distribution of particulate calcium in the
     St.  Louis area (yg/m3)	     B-4

B.5  Geographical  distribution of particulate lead in the
     St.  Louis area (yg/m3)	     B-5

B.6  Geographical  distribution of particulate vanadium in the
     St.  Louis area (yg/m3)	     B-6

B.7  Geographical  distribution of particulate titanium in the
     St.  Louis area (yg/m3)	      B-7

B.8  Geographical  distribution of particulate iron in the
     St.  Louis area (yg/m3)	      B-8
                             P,
-------
                           Mississippi River
Figure B.I  Geographical  distribution of particulate sulfur in  the
            St.  Louis  area (yg/m3).
                                 B-l
-------
                            Mississippi  River
Figure B.2  Geographical  distribution of particulate silicon in the
            St.  Louis area (ug/m3).
-------
                          Mississippi Rwer

                                        ,6
Figure B.3   Geographical  distribution of particulate aluminum in the
            St.  Louis  area
                               B-3
-------
                           Mississippi  River
Figure B.4  Geographical  distribution  of participate  calcium in  the
            St.  Louis  area  (yg/m3).
                                 B-4
-------
                           Mississippi  River
Figure B.5  Geographical  distribution  of particulate  lead  in  the
            St.  Louis  area (yg/m3).
                                 B-5
-------

                          Mississippi River
Figure B.6  Geographical  distribution  of particulate vanadium in the
            St.  Louis area (yg/m3).
                               B-6
-------
                          Mississippi  River
Figure B.7  Geographical  distribution of particulate titanium in the
            St.  Louis area
                               B-7
-------
                           Mississippi River
Figure B.8  Geographical  distribution  of participate iron  in the
            St.  Louis area (yg/m3).
                                B-8
-------
                              APPENDIX C

          TABLES RELATING PARTICULATE ELEMENT CONCENTRATIONS
                        TO SITE CHARACTERISTICS
                               CONTENTS



TABLE                                                                 PAGE.

C.la   Sulfur (yg/m3)	     C-l

C.lb   Silicon (yg/m3)	     C-l

C.lc   Aluminum (yg/m )	     C-l

C.ld   Calcium (yg/m3)	     C-l

C.le   Lead (yg/m3)	     C-2

C.lf   Vanadium (yg/m3)	     C-2
                     o
C.lg   Titanium (yg/m )	     C-2

C.lh   Iron (yg/m3)	     C-2
-------
 TABLE C.I    RELATIONSHIP OF PARTICIPATE ELEMENT
             CONCENTRATIONS TO SITE CHARACTERISTICS.
            Table C.la   Sulfur (yg/irT)

Industrial    Commercial    Residential    Agricultural    All

Ui Dan
oUuUr Ucul
KUi a 1

Urban
OUUUf uan
Rnrpil


Urban
Dura 1


Urban
^i j hu K*hri n
Rural

	 T i 32 34
2 7 	 	 2 7
	 	 	 9 i;

o
Table C.lb Silicon (yg/m )
Industrial Commercial Residential Agricultural
	 3.6 4.3 4.5
9 7 	 	 -5 9
	 	 	 9 C

Table C.lc Aluminum (yg/m )
Industrial Commercial Residential Agricultural
	 1.14 1.22 1.36
n «n 	 	 n 88
	 	 	 n fiQ

3
Table C.ld Calcium (yg/m )
Industrial Commercial Residential Agricultural
	 2.7 2.2 3.1
1 K 	 	 1 Q
	 	 1 A
	 — - 	 	 	 _ i . H
3 3
2 7
2 5

All
4.2
3 0
2 fi

All
1.26
0 8S
n 6Q

All
2.7
1 7
1 4
1 . H-
                      C-l
-------
TABLE C.I   RELATIONSHIP OF PARTICULATE ELEMENT CONCENTRATIONS
            TO SITE CHARACTERISTICS (CONTINUED).
                     Table C.le   Lead (yg/m )

         Industrial   Commercial   Residential   Agricultural
All
Urban
DlIK*^ 1


Urban
DlIK1^ 1


Urban
Suburban
Dl 1 K*a 1
KUi a 1

Urban
ouuur uaii
Rural

	 0.81 0.88 0.72
n RE; 	 	 n ?R
	 	 	 n ?n

q
Table C.lf Vanadium (ug/m )
Industrial Commercial Residential Agricultural
	 .006 .006 .009
nn? 	 	 nod
	 	 	 nn?

Table C.lg Titanium (yg/m )
Industrial Commercial Residential Agricultural
	 0.22 0.38 0.15
n nQ 	 0 1 ?
	 	 	 n n^

Table C.lh Iron (yg/m3)
Industrial Commercial Residential Agricultural
	 1.25 1.22 1.77
o 6? 	 	 n 7?
	 	 	 n c;-5

0.80
0 47
n ?n

All
.007
nod
nn?

All
0.26
n 1 9
n n^

All
1.44
n fiQ
0 "S3

                                C-2
-------
                              APPENDIX D



                  TABLES OF INTERSTATION CORRELATIONS
                               CONTENTS





TABLE                                                                PAGE




D.I  CORRELATIONS AMONG STATIONS FOR TSP	  D-l



D.2  CORRELATIONS AMONG STATIONS FOR IP	D-l



D.3  CORRELATIONS AMONG STATIONS FOR FINE	D-2



D.4  CORRELATIONS AMONG STATIONS FOR COARSE  	  D-2



D.5  CORRELATIONS AMONG STATIONS FOR SULFUR  	  D-3



D.6  CORRELATIONS AMONG STATIONS FOR SILICON	D-3



D.7  CORRELATIONS AMONG STATIONS FOR ALUMINUM  	  D-4



D.8  CORRELATIONS AMONG STATIONS FOR CALCIUM	D-4



D.9  CORRELATIONS AMONG STATIONS FOR LEAD	D-5



D.10 CORRELATIONS AMONG STATIONS FOR VANADIUM  	  D-5



D.ll CORRELATIONS AMONG STATIONS FOR TITANIUM  	  D-6



D.12 CORRELATIONS AMONG STATIONS FOR IRON	D-6



D.13 INTERSTATION DISTANCES (km)	D-7
-------
               TABLE D.I  CORRELATIONS AMONG STATIONS FOR TSP
STATION

   3
   5
   6
   8
  12
  15
  18
  20
  22
  24
12
15
18
20
22
0.75
0.73
0.71
0.42
O.G3
0.46
0.54
0.60
0.51
0.84
0.68
0.45
0.77
0.42
0.73
0.64
0.54
0.59
0.38
0.73
0.38
0.66
0.67
0.50

0.43
0.64
0.51
0.58
0.72
0.57


0.49
0.33
0.35
0.68
0.41



0.58
0.63
0.74
0.60




0.45
0.47
0.48





0.64
0.63
                                                                   0.64
                TABLE D.2  CORRELATIONS AMONG STATIONS FOR  IP
 STATION
                                        12
       15
       18
                                                            20
               22
3
5
6
8
12
15
18
20
22
24
0.83
0.79
0.73
0.68
0.78
0.79
0.67
0.77
0.40
0.89
0.73
0.74
0.70
0.83
0.75
0.75
0.67
0.78
0.87
0.78
0.87
0.86
0.84
0.72
0.76
0.75
0.71
0.62
0.82
0.53

0.73
0.75
0.83
0.81
0.60


0.75
0.62
0.81
0.33


0.75
0.77
0.65


0.70
0.70
                                                                   0.41
                                   D-l
-------
             TABLE D.3  CORRELATIONS AMONG STATIONS  FOR  FINE
STATION

   3
   5
   6
   8
  12
  IB
  18
  20
  22
  24
8
12
15
18
                          20
22
0.87
0.84
0.80
0.73
0.79
0.87
0.78
0.74
0.77
0.90
0.81
0.85
0.78
0.88
0.82
0.76
0.8B
0.79
0.90
0.79
0.89
0.89
0.83
0.88

0.78
0.78
0.76
0.71
0.82
0.75


0.75
0.82
0.87
0.80
0.83



0.84
0.62
0.77
0.76




0.80
0.79
0.87





0.79
0.84
                                                                   0.77
             TABLE  D.4   CORRELATIONS AMONG  STATIONS  FOR  COARSE
STATION
                                       12
            15
             18
             20
              22
3
5
6
8
12
15
18
20
22
24
0.70
0.66
0.68
0.50
0.69
0.56
0.56
0.70
0.01
0.77
0.62
0.55
0.52
0.57
0.59
0.64
0.31
0.74
0.76
0.71
0.62
0.69
0.75
0.30

0.70
0.67
0.59
0.60
0.73
0.27


0.64
0.57
0.70
0.64
0.18



0.57
0.64
0:74
0.03




0.73
0.53
0.29





0.55
0.36
                                                                  0.08
                                 D-2
-------
              TABLE D.5  CORRELATIONS AMONG  STATIONS  FOR  SULFUR
STATION      3      5      6      8     12     15     18     20      22
   3
   5
   6
   8
  12
  15
  18
  20
  22
  24
0.93
0.91
0.92
0.92
0.89
0.91
0.91
0.84
0.87
0.92
0.91
0.95
0.90
0.97
0.94
0.88
0.93
0.91
0.91
0.80
0.90
0.96
0.90
0.88

0.90
0.85
0.90
0.90
0.91
0.85


0.89
0.95
0.97
0.90
0.89



0.92
0.85
0.86
0.84




0.94
0.88
0.94





0.90
0.89
                                                                   0.84
               TABLE D.6  CORRELATIONS AMONG STATIONS FOR SILICON
STATION      3      5      6      8     12
15     18     20      22
3
5
6
8
12
15
18
20
22
24
0.77
0.79
0.76
0.57
0.73
0.73
0.71
0.77
0.38
0.86
0.81
0.65
0.72
0.78
0.80
0.78
0.47
0.79
0.72
0.71
0.71
0.79
0.77
0.50

0.71
0.75
0.73
0.72
0.76
0.44


0.69
0.70
0.71
0.72
0.30



0.68
0.72
0.77
0.37



0.82
0.72
0.41



0.83
0.44
                                                                   0.43
                                   D-3
-------
              TABLE D.7  CORRELATIONS AMONG STATIONS FOR ALUMINUM
STATION

   3
   5
   6
   8
  12
  15
  18
  20
  22
  24
12
15
18
20
22
O.B5
0.63
0.63
0.44
0.63
0.64
0.62
0.62
0.26
0.85
0.72
0.55
0.69
0.77
0.77
0.68
0.35
0.74
0.67
0.68
0.72
0.78
0.76
0.46

0.66
0.73
0.66
0.64
0.74
0.38


0.61
0.58
0.59
0.63
0.18



0.70
0.67
0.71
0.28




0.79
0.69
0.33





0.77
0.40
                                                                   0.39
               TABLE  D-8.   CORRELATIONS AMONG STATIONS  FOR  CALCIUM
 STATION
                                  8
 12
 15
                                                     18
                     20
               22
3
5
6
8
12
15
18
20
22
24
0.79
0.79
0.79
0.58
0.71
0.64
0.66
0.71
0.26
0.88
0.76
0.69
0.63
0.67
0.67
0.47
0.43
0.71
0.75
0.60
0.64
0.72
0.52
0.43
0.63
0.64
0.57
0.59
0.57
0.40

0.44
0.54
0.69
0.46
0.45


0.63
0.50
0.61
0.27



0.69
0.40
0.26



0.52
0.42
                                                                    0.07
                                  D-4
-------
                    TABLE D.9  CORRELATIONS AMONG STATIONS TOR LEAD
STATION      3      5      6      8     12     15     18     20      22

   3
   5
   6
   8
  12
  15
  18
  20
  22
  24       0.19    0.28   0.30   0.11   0.17   0.38   0.27    0.30     -0.17
0.84
0.71
0.71
0.78
0.56
0.57
0.54
0.29
0.19
0.71
0.48
0.69
0.64
0.50
0.53
0.21
0.28
0
0
0
0
0
0
0
.20
.59
.33
.60
.71
.09
.30

0.
0.
0.
0.
0.
0.

45
49
24
15
42
11


0.
0.
0.
0.
0.


36
25
80
43
17



0.45
0.22
0.19
0.38




0
-0
0




.31
.00
.27





0.19
0.30
                    TABLE D. 10  CORRELATIONS AMONG STATIONS FOR VANADIUM
    STATION      3      5      6     8     12     15     18     20     22
3
5
6
8
12
15
18
20
22
24
0.
0.
0.
0.
0.
0.
0.
-0.
-0.
13
24
25
34
10
02
07
14
01
0.37
0.26
0.28
0.23
0.38
0.34
0.13
0.36
-0.09
0.15
0.04
0.18
0.25
-0.14
0.06

0.30
0.16
0.14
0.26
0.27
0.04


0.10
0.14
0.49
0.23
0.24



0.
0.
0.
0.



29
25
02
24




0.
0.
0.




37
12
31





0.32
0.37
                                                                       0.30
                                      D-5
-------
              TABLE D.ll  CORRELATIONS AMONG STATIONS  FOR TITANIUM
 STATION
                                       12
       15
                                                     18
                     20
 22
3
5
6
8
12
15
18
20
22
24











0.87
0.
0.
0.
0.
-0.
0.
0.
0.
23
77
09
76
03
01
36
05
0.38
0.71
0.17
0.58
-0.05
0.05
0.38
0.07

0.49
0.25
0.24
-0.11
0.11
0.67
0.14


0.13
0.67
-0.13
0.09
0.53
0.16



0.
-0.
0.
0.
0.



06
07
33
33
08



0.00
0.01
0.34
0.23



-0.
-0.
0.



08
16
17



0.21
0.26
                                                                   0.43
                TABLE D.12  CORRELATIONS AMONG STATIONS FOR IRON
STATION
                                 8
12
                                              15
              18
                                                           20
22
3
5
6
8
12
15
18
20
22
24
0.70
0.53
0.40
0.36
0.66
0.47
0.48
0.57
0.24
0.59
0.51
0.43
0.51
0.41
0.58
0.51
0.36
0.52
0.44
0.44
0.26
0.47
0.66
0.44

0.56
0.41
-0.01
0.25
0.67
0.10


0.38
0.31
0.60
0.60
0.17


0.50
0.41
0.54
0.24


0.51
0.27
0.37


0.54
0.46
                                                                  0.33
                                 D-6
-------
                TABLE D.13  INTERSTATION  DISTANCES  (km)
STATION      3      5      6      8     12     15      18     20      22

   3
   5       7.20
   6      10.20   5.20
   8       8.70  15.40  16.70
  12      13.70  10.70   5.80  17.70
  15      18.00  25.20  27.40  11.00   28.70
  18      19.70  13.20  15.00  28.30   19.90  37.30
  20      24.80  22.70  17.70  25.90   12.00  36.00  30.20
  22      47.10  52.80  51.70  38.70   48.90  35.00  66.00  47.10
  24      46.00  40.30  42.40  54.60   46.90  61.80  27.40  55.90     93.00
                                   D-7
-------
                              APPENDIX E

         METHODOLOGY FOR THE REGIONAL UPWIND/DOWNWIND ANALYSIS
      Stations 122, 108, 103, 105, 118, and 124 are considered to lie in a
north-south line across the city.  Only days with either a predominantly
northerly or southerly wind-flow are used in the analysis.
      The following procedure is used to define a predominantly northerly
flow (a similar one is used for southerly flows):
     •  An individual station is considered to have a northerly wind-flow
        pattern if at least 75% of its wind for the day is from the north,
        northeast, or northwest direction (within 67.5 degrees of north).
     •  A day is considered to have a predominantly northern wind-flow if
        one of the two upper air samples has a northern wind-flow pattern, if
        all of the six stations under study have northern wind-flow patterns,
        and if eight of the ten RAMS stations have northern wind-flow
        patterns.
      The above procedure represents a compromise.  Stricter data base
restrictions would guarantee that all accepted data have the correct wind-
flow but would accept too few data to permit a statistically robust analysis.
In contrast, more lenient restrictions would accept a large portion of the
data base including days with the wrong wind-flow.
      Table E.I gives average particulate concentrations for each of the six
stations by pollutant.  For northerly flow, the data used to compute the
averages are the initial average concentration at station 122 (northern-most)
and the average difference between each station and the next one to the
south.   The averages at each station are then determined by the initial
average adjusted by these average differences.  Using this method leads  to a
much more robust data base than would exist if one required all  six stations
to have a non-missing measurement before a day could be included.
                                  E-l
-------
       TABLE E.I  PARTICULATE CONCENTRATIONS (yg/nr)  FOR NORTH AND SOUTH FLOWS.
STATION
DISTANCE (KM)
(Wind from the North)
 FINE       IP       SILICON
SULFUR
LEAD
TSP
122
108
103
105
118
124

STATION
124
118
105
103
108
122
0.0
38.7
47.4
54.6
67.8
117.2

DISTANCE (KM)
0.0
49.4
62.6
69.8
78.5
117.2
12.1
14.4
22.8
19.7
17.1
16.1
(Wind
FINE
16.6
18.8
23.8
28.0
28.9
21.9
25.7
29.7
46.7
40.5
35.3
27.2
from South)
IP
29.3
32.8
46.3
54.8
56.6
39.8
2.66
3.18
3.67
3.18
3.03
1.93

SILICON
2.10
2.32
3.10
4.03
4.05
2.71
1.90
2.38
2.68
2.67
2.54
1.96

SULFUR
2.41
2.83
3.29
3.60
3.99
3.36
.09
.30
.32
.60
.30
.15

LEAD
.11
.23
.53
.55
.74
.36
44.9
46.4
71.5
67.0
68.5
45.4

TSP
56.3
77.3
72.5
89.2
88.8
59.0
-------
                               APPENDIX F

            DETAILED DATA ON HEBDOMADAL AND DIURNAL PATTERNS
         AT SITES 103 AND 105, ORGANIZED QUARTERLY AND ANNUALLY
                               CONTENTS

TABLE                                                                 PAGE

 F.I   HEBDOMADAL AND DIURNAL PATTERNS FOR IP	   F-l

 F.2   HEBDOMADAL AND DIURNAL PATTERNS FOR FINE	   F-2

 F.3   HEBDOMADAL AND DIURNAL PATTERNS FOR COARSE	   F-3

 F.4   HEBDOMADAL AND DIURNAL PATTERNS FOR SULFUR	   F-4

 F.5   HEBDOMADAL AND DIURNAL PATTERNS FOR SILICON 	   F-5

 F.6   HEBDOMADAL AND DIURNAL PATTERNS FOR ALUMINUM	   F-6

 F.7   HEBDOMADAL AND DIURNAL PATTERNS FOR CALCIUM 	   F-7

 F.8   HEBDOMADAL AND DIURNAL PATTERNS FOR LEAD	   F-8

 F.9   HEBDOMADAL AND DIURNAL PATTERNS FOR VANADIUM	   F-9

 F.10  HEBDOMADAL AND DIURNAL PATTERNS FOR TITANIUM	   F-10

 F.ll  HEBDOMADAL AND DIURNAL PATTERNS FOR IRON	   F-ll
-------
   TABLE  F.I   HEBDOMADAL  AND DIURNAL  PATTERNS  FOR  IP.
HEBDOtlADAL  VARIATION OF DICHOTOI10US TOTAL MASS IN niCROGRAflS PER CUBIC METER
STATION 103
FIRST SECOND THIRD FOURTH
DAY
SUN
SUN
SUN
SUN
noN
TON
now
noN
TUE
TUE
TUE
TUE
WED
UED
UEO
UED
THU
THU
THU
THU
FRI
FRI
FRI
FRI
SAT
SAT
SAT
SAT
HOUR
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
QUARTER QUARTER QUARTER QUARTER
41.2
39.9
33.6
50.9
33.5
47.0
42.8
35.7
43.7
50.7
54.0
49.4
43.1
49.7
43.0
53.8
43.3
47.6
50.0
53.7
41.8
52.5
44.3
53.1
33.3
33.6
37.5
39.0
58.3
50.8
52.7
78.1
71.3
78.6
66.7
31.4
30.3
87.3
77.8
33.3
73.6
83.2
63.8
83.5
84.4
74.6
68.8
95.3
82.4
77.3
64.8
82.4
65.5
57.4
61.0
64.8
81.5
57.8
52.4
59.4
67.8
76.8
68.4
70.4
75.8
75.6
82.9
113.9
77.7
79.9
65.2
56.3
59.4
70.4
65.2
84.8
85.4
84.4
54.8
60.8
66.4
61.6
52.6
57.4
43.5
41.3
30.3
53.2
36.3
37.7
46.2
58.5
50.5
58.3
33.8
43.7
44.7
46.5
47.1
44.1
51.1
48.6
33.5
42.0
47.6
58.7
45.3
67.6
53.1
60.6
48.9
66.7
ANNUAL
54.6
47.1
42.3
62.2
55.4
61.5
57.6
65.0
65.7
68.4
61.0 :
77.1
58.8
62.5
54.8
60.0
53.0
60.7
55.5
69.7
63.6
68.1
52.1
66.6
57.4
52.3
43.5
5S.3
STATION 105
FIRST SECOND THIRD FOURTH
QUARTER QUARTER QUARTER QUARTER
30.0
20.3
23.2
40.4
33.8
42.6
36.8
26.5
30.3
33.1
34.4
35.8
28.3
39.5
29.6
29.8
35.3
41.3
36.8
33.8
28.5
43.6
32.6
28.2
22.8
24.1
25.3
28.3
45.9
44.1
33.4
50.3
54.7
61.1
52.1
62.8
57.5
65.1
55.8
60.0
62.2
55.9
55.9
65.6
51.8
60.2
43.8
61.5
58.8
66.6
61.7
67.3
53.6
48.7
46.7
45.3
45.7
39.3
33.6
44.3
43.7
38.1
49.2
53.6
53.3
68.4
66.8
67.3
79.1
73.5
49.3
52.5
54.1
65.2
50.7
53.3
55.3
60.7
54.3
60.0
50.6
47.8
45.1
41.5
45.7
38.3
28.5
34.7
45.6
49.2
37.8
42.9
39.0
52.0
35.3
40.0
35.7
42.0
36.5
33.2
30.8
37.6
31.0
44.3
43.4
51.8
58.6
80.8
48.5
50.5
45.8
55.0
ANNUAL
41.0
35.1
29.9
42.9
44.1
48.2
43.6
45.5
44.9
56.3
47.3
51.2
50.0
52.7
43.4
46.1
44.0
52.3
43.1
51.6
47.2
56.3
51.2
56.6
42.9
41.8
33.9
41.2
DIURNAL  VARIATION OF OICHOTO/10US  TOTAL MASS IN MICROGRAfIS PER CUBIC HETER

HOUR
0000
0600
1200
1800
FIRST
QUARTER
41.8
45.6
43.6
43.5
SECOND
QUARTER
76.0
72.6
65.0
84.3
            STATION 103
               THIRD   FOURTH
              QUARTER  QUARTER
                 ''Z.S     49.3
                 72.2     51.5
                 64.1
                 73,6
42.0
54.5
ANNUAL
  53.4
  60.1
  53.6
  65.5
 FIRST
QUARTER
   23.8
   35.5
   31.3
   32.6
                                STATION 105
                         SECOND    THIRD   FOURTH
                         QUARTER  QUARTER  QUARTER
                            54.8    54.4     41.5
                            57.7    5G.8     46.1
50.3
53.1
49.8
54.6
39.2
46.4
ANNUAL
  44.3
  43.0
  42.3
  48.0
-------
                                                          Z-J
i-"!— o o:
oo is) m o c
O O CD O C
o o o CD :
                             cntntntn-n"n-nTi
                                                            immmmccitrcroooocrccro
                                                            :oooammmmzzzzzzzz-<
           §2
           33
           —(Cn
•   •  •  •  m —i
OOf- CON) 33
           3> O
 ) to co co 3 a
 ) o en en —i z
   •••ma
tO N> O ->l 3
00(
cn<
tn eo co tn —133:
••••ma
»— U) Oo rs) 33   >
           ii
hO *- FS) M 33 33
tn *-4 fs> K) —* —i
•  •  •  •  m x
000--J 013
ho N) rs) N>:
Co to oo oo (
0000 O -J |—
•-•CO K) en 3
           > n
Is) N) ts) M 3 O
^J CO -sj ^1 —1 Z
••••ma
00 OO tOCD 3
                _
O ~J too—13Z
•  •   •  •  m a
*--> .e- 013   >-
                o
                tn


           li
N) >— rs) N) 3 33
CO oo rs) H» —i —i
••••mx
o en co vj 3
                     3
                     >
                     O
                      "D
                      m
                      3
                      c
                      CD
                      rr\
                      —•I
                      m
ooooooooooooooooooooooooooooc:





                                                                                     ED
                                                                             -n      o


                                                                                     a
                                                                          m —i      >



                                                                          O en      3>
                                                                          cm      3



                                                                         -ma      ~




                                                                                     fl

                                                                            ) — o   o
                                                                            ( 3 Z   ~
                                                                          mo      o
en .p-en M-P-co co ~~i co o o en oo oo *--si ~j co *• en oo tn oo co oo en ho en 3    >-•   x
                                                                                o   o
                                                                                CO   *H



M K) N) N) N3 H-N) rs) ^ >-• r\3 N) rs) IS) M H> N> >-• N) N) N) "-• I-* >-• CO >-> !-• M 33 3      C
to *• to ~j vi to rot-* oo *-1- M N) o ^ oo to *• vj rs) ro to en oo co^ po en —i —<      tn

oo co-vi en to >-o-t-is) co tn tn en i—*« ^J rs) eo-p-rs) o »—ro t» co-e-oo co 3         nn


                                                                                     fl



 j oo en 06 o ^ o i— i— K) ~0 06 -j ^ --3 Wj is) In fo o eo in ^ e» ooo K) en c         >
	3>         O
is) o oo oo oo oo co co o oo en o oo to oo *-co rs) *-tn o to oo co co en CD ro i~         ^H

                                                                                     o
                                                                                     z




                                                                         • 3 3      en

                                                                          m —i      —•
cn*— enrs)sotDotnK-**isorN)N)cocDtnrs)oo^>rj(73oosjco**e73i-*3         z


                                                                          D tn      —
                                                                          ~ m      o
                                                                            • o      3


                                                                          ma      3

                                                                                tn   3



                                                                          > x~   m


                                                                         Jmo^   o

                                                                                ^   03

                                                                                "   n


                                                                                     B
                                                                         > —i —i      —i
                                                                          mx      nj
                                                                                                                               CD
                                                                                                                               m
                                                                                                                               CD
                                                                                                                               O
                                                                                                                               O
                                                                                                                               CO


                                                                                                                               ~n
                                                                                                                               o
        .

o en Ki o i~
-------
                                                            e-j
 l-> *- O O X

 00 N) Cn O O

 O O O O CZ
 CD CD O O 33
                        tncnentmrn-n-n—i—(—i—iiz:	
                                                  Exxxmmmi  	
                                                  czcczoooommmm:
                                I— h-«OOt-*(-*OOl-»l-»OO)-*t-'OOI-»t-*OOt-»H-»oOt-*»-»OO"
                                OOOOOOOOOOOOOOOOOOOOOOOOOOOOC
                                ooooooooooooooooooooo    ~~ ~~ ~~  ~~  ~~  —
N) IS) IS) M 33 3)
Cn Cn -P- O —I (Si
•  •  •  •  m —t
-vl O ^1 00 3)
-c- co to to 3) c
en to cn po -  "

oo oo to co :
            —
•  •  •  •   m o
tOCO 00 00 3J
           a "n
           co
           > cz
Is) IS) IS) K) 3) 3)
to co oo cn -H -H
•  •  •   •  mx
to oo cn -^ 3)
toro to to
cn to is> o c
h- h- H- ^- 3) 3)
-~j to to -P- -H tn
•  •  •   •  m —i
cno tot-- 33
       etn
       m
    > n
) Is) 3)0

1 ^mo
   • 3)
          to

    D    >
    CZ —I -H
is) ro is) is) 3) — o
-F- M 00 tO —< 3J Z
•  ...  mo
-P* Is) O O 3)    •-*
           D Tl
           CZ O


Is) IS) IS) i-* 3! 3)
tO *-• IS) CO —H -H
           m x
                       O


                       O
                       3
                       o
                       33

                       8
                       3)
               T)
               m
               3)

               n
               c
               CD

               O



               m
   oo oo»— w oo £D oo oo *+ o en CD oo co ui co oi tn co CD a>»-» oo co u> en M 3         r~


8                                                                                 CO       3»
                                                                                 m       33
                                                                               > n       •—
                                                    N Js (Jl LO U) W-t-fO N3


                                                                               3]         a
                                                                                          z



                                                                                          °
                                                                                3—'O    a
                »MO-p-COOOtOtntOtfl--JOO^J^*'*-l-'COOOl-«-43Z    -1
                 ••••••*..  ..•••>>.«..**rno       o
c/i o en tn co i—-vj M ID >—-c-oo o tn en co ro >-• >-• ^ en K-o en en co ^i M 3   >—    x
                                                                                    o    a

                                                                               O^"    g
                                                                               CZ O       3
                                                                               3> C       O
to r\3 to to to ro to ro ro N) t\) is) is) KJ ro M N) »-• to ro to N) N) M isj i—M M ni 3)       c
en *- to is) to m en en to *- tn -j i— tn tn to en to o ^j tn en fs> i— i— to i— to —i —i       en

LD co o en oo to ->J ^^ c» H- ti> oo en to ro v; to ^- -f^ o to o~j ro oo >-* en oo >-* 3?         o
                                                                                          o
                                                                                          >
                                                                                          3)

                                                                               S         S
tOISMs)N)COIS)U)COtOtOtOtOCOtOtOtO*-tOtOtOtON>COIS)tOIS)IS)IS)2
ocrj^jtD^i^j^jrs)c»N)rs)ot-*o4?-o4>tntn-c^tnuDrs)-v)»-*tO4>toc         "n
•   ••••••••••	•••.••.••3»         3)
to w o ts) oo M o o j-is) en to eo *• tn i—cn t-oo cn tn cn oo ^j *• 4;-to to r~         >

                                                                                          —i



                                                                                 §-n       Z
                                                                                 *-•       3
I— <-* 1— I— H- h- IS) t- ts) IS) IS3 >— I— ^ IS) t- IS) IS) M I-' I— N) IS) H- N) >-•    K- 3) 3J       >
tn en *• ^ tn to to-p-o M o to en oo to *-o ^ o is) N) i—tocn is) en to *~ —i tn       tn
	m —i       tn
tors)tncncn-sjcncotoo-Jtntntotn-jcncnooootDocnrs)tntotot03J



                                                                               £%       *
                                                                               3> O       •-«
rON)IS)K)tOtOtOfS)tOK3COIS)tOtOrs)ls)l\)rOtOK)tOISJU)ls)K)^>N)rOXO       O
*-tn to ^i-P-N) to en to oo o en *-o to c» to-xi tn oo is) tn i-* oo en en is) *-—i z       3)
•   ••••••••••••»«•••••••«•••••   m o       Q
to to -vi >-* is) o oo en tn tn >-• ^ en CD is) tn to *- is) o co to H- to to en >- *- 3)         en
                                                                                    tn    3)
                                                                                    —I    3>
                                                                               D    >    3
                                                                               cr -<-<    tn
                                                                               > x —
M>-IS)IS)!S)ls)tOrs)ls)IS)tOts)l— ls)tOtOtOtOtOfs>ISJIS)IS>"— H-1— l-^t-3) — O    T3
o^>j^cDtncn^jrs)cn^is)is)UDU)cn-p*j>'O^-p-tnt—o^jcnt-*cnto—*3)z    rn
	ma       3)
tn tn m .r- en is) -> i— en o is) o en ts) oo tn tn to tn o u) tn -^j ^ en to to to 3)   H*
                                                                                    o    o


                                                                               83^    2
                                                                               > CZ       O
                                                            )!s)r\)t-i>-'^is)3)3)
                                                              o»--totncnis>-H-H       zi
                                                              	mx       m
                                                                                                                                    DO
                                                                                                                             rr:
                                                                                                                             m
                                                                                                                             DO


                                                                                                                             O
                                                                                                                             2

                                                                                                                             a
                                                                                                                             o


                                                                                                                             o
                                                                                                                             K-4
                                                                                                                             c:
oo

-r\
o
                                                                                                                                    O

                                                                                                                                    O
00
m
H- *- O tO |—
-------
                           i— LOOCOO-
C£
rD
LU
_i

CO


o
Lu

CO
o:
ZD
i—i
Q
OQ
LU
                 zcc>—
                 o — rc
                                                    4CMCMCMCMCMCMCM«-<~HCMCMCMCMCMCO>3-CO
                      Q-  .

                     iLuincMcncocMCOLnr^^cMooujfotflLrJCM^CMLnr^^f^oqcacococfl
                   UJ =3
                   tn a
                      KOOOOOOOOOOOOOOOOOOOOOOOOOOOO
E5
CJ

a:
UJ
0-

01
i;
 a
                                                                                                             a — * tE un oo o oo
                                                                                                             "- X < <• ^1- Lfl -3-
                                                                                                                  cc  •  .  .  •
                                                                                                               o uj CM ^r oo oo
                                                                                                               2 t— 01 oo r-- CN
                                                                                                               o tr -H in -r -»
                                                                                                               (_) < co co co n
                                                                                                               LU O
                                                                                                               cn a
                                                                                                                  DC  ....
                                                                                                               1— LU CO OO O U>
                                                                                                               cn t— r~- oo -4- -H
                                                                                                               a: cc -< —i oo 01
                                                                                                               »— < CM CM r* *-*
<^
t—
0
t—
cn



H-
0
31
O

C)
fe

z
-.
<:


<
>•

_i
<
tr:
— i
ci




X
1 —
CC
Z3
a
u.
co •
o
rt a
"Z. tr
o —
— X
<
in


^g


H

>—
cn
< 00 -H LOOM
^ CO O CO O
2 *3- c^ ^ CO
Z CO CO CO CO

cc • • • •
ui r^ *-t a) -3-
t— o cn CM oo
cc -* oo ^- d- •-» CM LO
t— O -d- -d- CO
cc cc Ln co CD 
-------
O
O
a;
o
oo
•c:
CL.
                                                                                                         ID r-.
                                                                                                         CO 00
                        "•g
                                                                                                                     s
                                                                                                                     a
§
cr
a
CO
c

I
                                                                                                                                   *-* in ^ r^
                                                                                                                                  3 co T ^H (T> CM
                                                                                                         cc tr —i r^ c*> n
                                                                                                         Z3 < n n co co
                                                                                                         o ^
                                                                                                         LLC3
                                                                                                      rH    Q-  •  •   •   •
                                                                                                         a LU oo T-H r^ co
                                                                                                      ;z QZ H- o ID oo oo
                                                                                                      o — 
                                                                                                                            en H- LT) r^ co ^-<
                                                                                                                            CE CC (~- 00 CM 00
                                                                                                                            — < CM co  o a CD o
                                                                                                            ) o co csi oo
                                                                                                            : o o ,-t rt
                                                                      F-5
-------
                        TABLE F.6   HEBDOMADAL  AND  DIURNAL PATTERNS  FOR ALUMINUM.
                       HEBDOMADAL VARIATION OF DICHOTOMOUS TOTAL ALUfllNUPI IN NANOGRAHS PER CUBIC METER
 i
CTl
STATION 103
FIRST SECOND THIRD FOURTH
DAY
SUN
SUN
SUN
SUN
now
noN
(ION
noN
TUE
TUE
TUE
TUE
WED
UED
WED
UED
THU
THU
THU
THU
FRI
FR1
FRI
FRI
SAT
SAT
SAT
SAT
HOUR QUARTER QUARTER
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
1442.
1817.
1223.
1003.
543.
811.
842.
713.
883.
1221.
2516.
1428.
318.
1742.
1335.
1833.
915.
1660.
1466.
1301.
1144.
2403.
1180.
1689.
715.
918.
1643.
1384.
1033.
345.
909.
2158.
1357.
1503,
1639.
1818.
1615.
1807.
1723.
2457.
1210.
1540.
1508.
1682.
1202.
1582.
1829.
1637.
1166.
1459.
13SG.
1570.
1105.
1167.
1241.
1480.
DIURNAL VARIATION OF


HOUR
0000
0600
1200
1800

FIRST
QUARTER
944.
1488.
1481.
1331.

SECOND
QUARTER
1243.
1432.
1475.
1822.
STATION
THIRD
QUARTER QUARTER
2000.
1505.
1876.
1615.
1696.
1353.
1681.
1843.
1888.
2018.
2139.
2637.
2136.
2261.
1929.
1502.
1602.
2043.
1823.
2200.
2066.
1960.
1707.
1708.
1709.
1716.
1380.
1631.
1461.
1173.
1100.
1183.
1354.
1514.
1484.
1750.
1337.
1786.
1303.
1342.
1380.
1632.
2001.
1451.
1275.
1443.
1430.
1343.
1663.
2128.
1357.
1773.
1523.
1611.
1348.
1899.
D1CHOTDMOUS TOTAL
103
FOURTH
QUARTER QUARTER
1854
1925
1811
1905
1432.
1648.
1469.
1536.
STATION 105
FIRST SECOND THIRD FOURTH
ANNUAL QUARTER QUARTER QUARTER QUARTER ANNUAL
1421.
1375.
1249.
1508.
1176.
1377.
1438.
1541.
1429.
1696.
1909.
1333.
1336.
1763.
1719.
1602.
1279.
1699.
1667.
1629.
1509.
1960.
1400.
1683.
1237.
1302.
1409.
1572.
ALUMINUM IN
654.
401.
507.
376.
669.
864.
826.
421.
736.
941.
1062.
908.
663.
1111.
882.
962.
630.
935.
1001.
811.
596.
1183.
1187.
1057.
623.
851.
1134.
907.
NANOGRAMS
805.
892.
615.
1056.
396.
1400.
1171.
1271.
1055.
1333.
1010.
1337.
1033.
1348.
1238.
1218.
1052.
1200.
1208.
1386.
359.
1437.
1335.
1126.
793.
859.
1012.
884.
PER CUBIC
1085.
1146.
970.
1020.
1085.
1153.
1424.
1376.
1279.
1935.
1835.
1960.
1752.
2275.
1705.
1331.
1248.
1816.
1698.
1606.
1357.
1570.
1412.
1433.
1151.
1322.
1071.
1230.
METER
1051.
350.
852.
1023.
1071.
1087.
1132.
1211.
869.
1526.
1183.
915.
942.
1356.
1495.
1080.
1049.
1186.
1121.
1059.
1725.
1849.
1871.
2055.
1414.
1584.
1174.
1277.

880.
821.
712.
1017.
925.
1124.
1141.
104G.
993.
1430.
1253.
1291.
1083.
1490.
1320.
1144.
1008.
1305.
1268.
1234.
1096.
1486.
1433.
1367.
956.
1114.
1032.
1053.

STATION 105

FIRST
ANNUAL QUARTER
1345
1603
1556
1647
660.
302.
943.
862.
SECOND
QUARTER
965.
1212.
1098.
1198.
THIRD
QUARTER
1277.
1605.
1452.
1432.
FOURTH
QUARTER
1141.
1378.
1281.
1209.

ANNUAL
992.
1256.
1182.
1166.






-------
C_3
cc
o
a:
LU
a:
ZD
Q


Q
el.
Q
O
Q

DO
CO
or

£

U
                                                                              ^'-^N
                     >—ooco-3-or^cMCMf-tcMcnu>r*.cncncocoocnoroLnvr3'cn'.j-CO^rLncr>r'5CMC'1
                   O 13
                   u_ a
                zori
                o —
          or
          o
          a
                     LU
                  XLuoacncMr^oooor-LncncocDO'-i
                                     _.  —  ,	-

                                          09 — — "- — .°\fl.
     52
     Pi

     t—
     en
                  cn
                     ^oocjooooocDooooooooocaaoooooooo
                     3c3oooooooooooocDoooocDaooaocDOoa
                     aoCDCMOOOCD(MOOOCDCNJOOOCOCMOOaCOCMOOOfJ3CMoaaCOCMOO
                            T-^--
                                                                                                        cr
                                                                                                        LU
                                                                                                        u

                                                                                                        5
                                                                                                        ^>
                                                                                                        o
                                                                                             or
                                                                                             o
                                                                                             o
                                                                                                        01
                                                                                                        n
                                                                                                        o
o

u.
o
                                                                                                                    ) O  —i 00
                                                                                                                    : n en r^ oo
                                                                                                                    : (N CNJ CNJ CN
         x ai -* r~ in n
         i— i— co en ^r en
         or en in oo en en
         o < CM CM CM CM
                                                                                                   r-l    CC  -...
                                                                                                     a LU o -H co en
                                                                                                   z cc t- o (v r*. 
                                                                                                   a —• cr en en r^. CM
                                                                                                   — x < CM co CM n
                                                                                                   1—1—13
                                                                                                   <    a

                                                                                                   en
                                                                                                        or  •  •  •  •
                                                                                                     a LU in CM r
              o- en
              co ^H
        CM n CM n
          ) a: in CM co
          ) <
                                                                                                                  cr  .  .  .  .
                                                                                                                I— LU '-I C"> CO -3-
                                                                                                                CD h- 01 CO CO v}-
                                                                                                                tr cr n cn ui rn
                                                                                                                —t < -I CM CM CM
                                                                                                        < co en o r-.
                                                                                                        3 CO L/> O 00
                                                                                                        "z en CM en en
                                                                                                        Z CM 00 CMCO
                                                                                                     xui in -H m co
                                                                                                     H- *~ *& ^H CO O
                                                                                                     cr or o co en en
                                                                                                          ro co CM co
„-

o

   O LU I/} t
z or i—3- ca r
o — c	
                                                                                                                  cc  -  •  •   •
                                                                                                               a LU r~* -3- CM ~-i
                                                                                                               Z t— CM CO CD CM
                                                                                                               o or oo sr oo cn
                                                                                                               u < en cncM -j-
                                                                                                               LU 3
                                                                                                               en a
                                                                                                                  CC   '  •  •   •
                                                                                                               t~ L1J •* LO TH ~H
                                                                                                               cn h- en I-H o co
                                                                                                               or or co -3- oo oo
                                                                                                               ~ < ^H CM CM CM
                                                               F-7
-------
                        rcooor^oocor^r^f-H
                                       ssssssis'gsss^sgggg
                                       •"*       *-»             rH f~l   rH
                                                                                         ID r-* CM cxj  co oo
O

<
a:
o
oo
C£

LU
<:
Q_
<:

o:
r>
»—i
Q

O


<

                                                                                        a
                                                                                        < CM LD eg a
                                                                                        2 ^)- en u) LD
                                                                                        2 oo CJD cr) oo
                                                                                        cr
                                                                                      x LU r
                                                                                      i— t- ca n us vr
                                                                                      or or CT oo -— in tr> oo co
                                                                                        cr i-v in CM r-~.
                                                                                        CE  .  .  .  .
                                                                                      I— LU 00 OO 00 !-.
                                                                                      cn *— r^ CH co cn
                                                                                      oc a: r--in m rv
                 >-zz:
                 ^ ~^ ~~i *
                 o en en i
                                      j ai LU a a a c
                                                     33 ^zi —— — — >
                                                     	rxcccrorcr'
                                                        •i— U-U-Lt-U-cncncnco
                                                 F-8
-------
TABLE F.9   HEBDOMADAL  AND  DIURNAL  PATTERNS  FOR VANADIUM.
HEBOOriADAL VARIATION OF DICHOTOMOUS TOTAL VANADIUM IN NANOGRAI1S PER CUBIC METER
STATION 103
FIRST SECOND THIRD FOURTH
DAY
SUN
SUN
SUN
SUN
noN
noN
MON
MON
TUE
TUE
TUE
TUE
UED
UED
UED
UED
THU
THU
THU
THU
FRI
FRI
FRI
FRI
SAT
SAT
SAT
SAT
HOUR QUARTER QUARTER QUARTER QUARTER
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0000
0600
1200
1800
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.82
1.01
0.49
0.00
0.13
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6.80
5.30
6.55
7.60
7.30
11.89
7.02
10.57
10.48
3.13
7.15
10.53
10.99
3.66
4.91
8.54
9.00
11.50
8.18
7.84
7.30
12.22
5.75
8.82
6.19
3.62
4.16
5.73
DIURNAL VARIATION OF
15.66
9.84
8.07
6.33
7.09
9.83
8.67
9.85
11.71
10.69
10.85
15.55
13.40
18.50
3.98
8.17
9.62
15.75
9.22
16.32
11.85
9.17
6.37
14.65
10.63
8.19
6.81
6.21
6.27
4.68
1.81
11.80
11.44
8.58
7.71
14.64
8.09
10.52
4.72
5.97
6.09
8.88
12.56
8.44
11.52
3.93
9.58
7.88
11.35
15.33
9.52
14.23
14.44
12.87
8.11
10.93
DICHOTOMOUS TOTAL
STATION 105
FIRST SECOND THIRD FOURTH
ANNUAL QUARTER QUARTER QUARTER QUARTER ANNUAL
6.19
4.61
4.04
5.83
5.83
7.17
6.05
8.61
7.61
7.44
5.86
8.07
7.06
8.34
7.36
6.63
7.99
9.79
7.11
8.18
7.77
3.84
5.48
9.51
7.61
5.68
4.33
5.27
VANADIUM IN
5.65
4.62
2.88
6.48
14.72
9.93
6.38
6.73
6.05
9.55
9.81
8.02
6.27
9.98
6.54
10.77
9.02
9.17
6.50
8.22
7.60
6.52
8.18
7.25
4.56
4.91
3.57
6.24
1.84
3.32
2.22
4.90
8.02
7.51
7.57
6.96
6.58
5.72
1.91
6.22
7.27
5.91
2.67
3.98
7.56
4.32
6.63
5.07
8.39
12.28
8.37
4.62
3.62
1.98
3.28
2.02
NANOGRAMS PER CUBIC
STATION 103

HOUR
0000
0600
1200
1800
FIRST
QUARTER
0.08
0.00
0.15
0.16
SECOND
QUARTER
8.30
8.95
6.27
8.56
THIRD
QUARTER
11.28
11.93
8.74
11.54
FOURTH
QUARTER
9.88
10.41
8.13
10.27

ANNUAL
7.22
7.60
5.83
7.55
FIRST
QUARTER
7.72
7.73
6.27
7.63
SECOND
QUARTER
6.18
5.92
4.68
4.84
STATION 105
THIRD
QUARTER
4.82
4.20
2.30
5.37
5.33
3.42
0.69
2.03
3.54
4.76
1.30
5.86
4.23
5.31
2.75
9.65
4.22
8.63
3.98
2.84
3.78
1.57
2.31
5.42
6.70
3.47
2.88
4.32
5.47
2.23
1.29
6.39
METER

FOURTH
QUARTER
8.22
8.33
7.30
8.47
8.90
7.79
3.43
6.11
2.16
7.53
8.40
5.98
7.23
12.73
7.03
7.37
8.37
3.13
7.71
7.82
10.78
8.73
7.24
3.28
5.84
5.01
10.51
13.83
12.57
6.79
5.26
9.86



ANNUAL
6.68
6.48
5.03
6.49
5.13
4.54
2.24
4.91
8.16
7.69
6.02
6.41
6.01
8.23
5.41
7.75
6.55
8.41
5.07
6.33
7.66
5.73
5.70
6.83
7.26
7.06
7.23
6.33
6.12
3.72
3.15
5.36








-------
                                                     OI-d
H- >-• o o X
oo ro en o o
o o o o d
o o o o 3
                            c/>cr>cncn~nTn-n—i—i—i—i
                                                      xx          .	
                                                      ccoooommmm:
    13 en en en to a
3 o o c c c c >
 ---''  •
          CD                ooooooooooooooooooooooooooooc



01 J> Cn 4> 3) 33                                                                                               —.
ro ro i— ro —t en      p                                                                                        ^

4> oo en -f* x "*      c                                                                             g^g





en en o »-> :c o      -<      oococowcoOT4>coooooocnco(/iH*ho^cn^c0^erico^oi\)cn33         ^

•  -  •  •  m O      33                                                                             r-t fn      ^-
0^0,4,3    ^    -                                                                             Oft      g

                _,    ._(


i-» i-* ro M > En •-•    :z      r ^" i~ I" l" r  r i  ~ r' .^ r" ." r~ ." ™ .   r' ™ ."  ~ r  '. "r.   .  . rrio      ^

coenoi^—i ED z    o                                                                                   ^9
•  *  •  •  m o      ~n                                                                             <-»    ^Z

roocnex,3    ~    o                      ^     ^^^^.j^^^^^^^^^^^^^^^l^S   $




!-»>-. ro IsJ 3> C^      (D      	"***"m"*(D:Sl~^i-''   O

i^P^Psi      i      "icn--11-0^w^hoooo"cnc;lo"tn-i)-.^         o      	*	m"1*      ^
yy?S|         >      rsJoo^-oo-cnco^cocntnoroooencD-vjencocD^ro-o                     ^


4> *- en oo r-                                                                                       j>         >



                     »                                                                 •    - •-      —


	^|2      |

ro o co *-* 3 3      zz
oo i— o ^j —^ en
....  m —i      —                                                                             „
o t-' en o 3         'z.                                                                             c "n




K- i— ro M j> n      o      	m —i
er. -c- ec ^i 3 o      ID
~j co en ro —i "z.      3

          rr"-3      §                                                                             ocn      o
                co    en                                                                              er m      3


          c -H —i    m      4Nroenoo4>oj>^ieocn-p-ooi—encocoooooeD->rororo-xjeoeD-HZ      175
 ro^jco4>>xt—    3      	•	mo

 en en  ~4 eo —i 3 z    n                                                                                   u>   tS
 •  •   •  •  m o      ez                                                                              _    rj   ^
 co oo en *-3    >-•    CD                                                                             D   .5   ^
                O    ^-*                                             t-*                               CZ —I —4   O
                en    o      rot-^enroro1—'roixJCDH^rorororo^J^jroH^rot-*!—'    »-•        t-*ro3>x*—•   ez


 ^jt-»co4>j>ez      m      	mo      o

 oo oo co en —i -H      m                                                                                   J=   zi
 .  .   .  .   mx      3                                                                                  en   m
 cnc/iroco3                                   ^                                                   gg      ffj




        	                                                                         _            " m x
 oocoenoz
 o enu) 4> ez
                                                                                                                       CO

                                                                                                                       CJ
                                                                                                                       O
                                                                                                                       O
                                                                                                                       O

                                                                                                                       •73
-------
                                                          TT-J
 1— 1— O O X
 00 Is) Cn O O
 o o o o c
 O O O O 33
         cnc/)cntnT]-n-nT)—(—i—t—icnzrr:- ,
         ^ ^ ^ ^ -0 zo 3) 33 T* i3T T*  ~T~ m m m m <~ t
         -I -i -I -H	C C C  £ y y O y m I
                                                                                             i cn cn to cn o

                                                                                             : 2 2 2 2 -<
 *• CO CO O 33 33
 CO -vl CO CO —I CO
 oo cn -p> co m —i
 ....   33
 IS) ^ IS) Is) ^ O
 co cn o o 33 o
 ~j o co -e- —i 2
 cn cn co -c* m a
 •   •  •  •  33
                 CO


           £^5
 IS] >- Is) Is) > X —
 CO VI Is) CO 33 — O
 Is) O o 00 —I 33 "Z.
 -t- co i— is) m a
 ....  3,    ,_
                 o
                 co
           D -n
           cz o

 tO 4^ 00 CO 33 33
 CO JN O CO —I —)
 o cn -p- to mx
 •   •  •   •  33
^1—^1-2
O tn oo 00 2
»-• c j -e* 4> c
co cn *xj co >
 o

 o

 a
                      o

                      o
                                            gggggggggggggggggggggggi
                                                                                                        o         CD
                                                                                                        c -n      a
                                                                                                       • >- —      o
                                                                                                                              DO
                                                                                                        33


                                                                                                        D en
                                                                                              a


                                                                                              <
                              S^^Sffiy H^f:r; t°. s ^e t?N»^c'5t?-S;y cn5S5cn5z      >
                                                                                                        O    3>

                                                                                                        ^^=!    S?
                              fs»->rs>ts>hO"-'ls)t
                                                                                                                             m
                                                                                                                             DO
                                                                                                                             a
                                                                                                                             O
                                                                                                                             a

                                                                                                                             a
           8-n       -
o CO i-' ~~1 33 3J
rs> cn cn en —i to
*^J co co cn rn —i
-  •   •  .  33
cn i— cn is) 33
is) >-• *- cn —i
c»co -^i co m
-  •   •  •  33
!-• ^ 1— 1— > X —
co f oo tn 33 — o
-C- to o vl —I 33 2
co oo .r- o m a
.   .  .  .   33    t-.
                o
                cn

           c o

I-' O *• ^ 33 33
cn en vi cn —i —i
cn cn to o m x
....   33
N> o cn »-- 2
cn cn to ^j ez
oo vj i-' cn >
>
zs
cn

•a
m
33

o
cr
CD

O

3
m
—i
m
33
                                                                                                        D cn
                                                                                                cncoco33O
                                                                                                        D   3>

                                                                                                  »-• i— ' 3> X •— '
                                                                                        >— oj-cooocn— i
                                                                                                        m
                                                                                                        33
                                                                         1*— IS)   ^*
                                                     --vv-
                             cococotoc»cnocnvicn-p--jcncocDcococnioooooocncDoocncnvim
                             ............................   33
                                                                                                                  s
                                                                                                                  33
                                                                                                                  m
                                                                                                                  33
                                                                                                                             73
-------
                             APPENDIX G

         WEEKEND-WEEKDAY DIFFERENCES OF TWELVE PARTICULATE
                PARAMETERS AT THE TEN RAMS SITES.
                              CONTENTS

TABLE                                                                PAGE

 G.I  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF TSP
      (MICROGRAMS PER CUBIC METER)	    G-l

 G.2  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF IP
      (MICROGRAMS PER CUBIC METER)	    G-l

 G.3  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF FINE
      (MICROGRAMS PER CUBIC METER)	    G-2

 G.4  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF COARSE
      (MICROGRAMS PER CUBIC METER)	    G-2

 G.5  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF SULFUR
      (NANOGRAMS PER CUBIC METER) 	    G-3

 G.6  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF SILICON
      (NANOGRAMS PER CUBIC METER) 	    G-3

 G.7  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF ALUMINUM
      (NANOGRAMS PER CUBIC METER) 	    G-4

 G.8  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF CALCIUM
      (NANOGRAMS PER CUBIC METER) 	    G-4

 G.9  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF LEAD
      (NANOGRAMS PER CUBIC METER) 	    G-5

 G.10 AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF VANADIUM
      (NANOGRAMS PER CUBIC METER) 	    G-5

 G.ll AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF TITANIUM
      (NANOGRAMS PER CUBIC METER) 	    G-6

 G.12 AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS OF IRON
      (NANOGRAMS PER CUBIC METER) 	    G-6
-------
          TABLf  fi.l   AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                     OF  FSP (MICROGRAMS PER CUBIC METER).
Station

103
105
106
108
112
115
118
120
122
124
Mean
37.742
33.050
81.713
80.353
78.343
63.031
64.068
54.085
57.501
54.561
Weekday
Stand. Dev
37.003
33.263
32.436
36.028
33,343
23.128
25.110
21.378
26.105
27.543

. N
72
76
75
72
77
72
72
73
70
72

Mean
30.813
75.734
66.682
73.550
80.341
52.530
70.056
43.050
43.594
43.313
Weekend

T-Test
D.F
Stand. Dev. N
36.673
30.725
27.116
40.708
80.373
22.106
38.645
13.534
24.427
25.745
31
33
33
28
32
33
27
30
32
32
0.874
2.545**
2.323*
0.036
-0.182
1 . 840*
-0.304
1.112
1.448
0.914
101
107
106
98
107
103
97
101
100
102
*  An average weekday is significantly greater than an average weekend
   day at the 35th percent level  (1.645).
** An average weekday is significantly greater than an average weekend
   day at the 33th percent level  (2.326).
          TABLE G.2  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                     OF IP (MICROGRAMS PER CUBIC METER).
Station

103
105
106
108
112
115
118
120
122
124
Mean
62.235
48.355
51.864
51.194
45.414
38.636
35.655
38.055
34.071
29.115
Weekday
Stand. Dev
30.078
26.312
24.056
24.523
23.035
19.967
17.172
17.815
18.715
13.741

. N
202
203
127
159
189
158
197
164
171
121

Mean
53.684
38.856
38.830
41.103
39.685
35.744
33.034
34.241
30.716
27.158
Weekend
Stand. Dev.
27.794
20.687
20.375
20.415
20.738
15.301
14.138
13.392
17.616
10.845

N
73
79
56
62
68
63
77
63
69
50
T-Test

2.138*
2.880**
3.533**
2.873**
1.803*
1.027
1.190
1.527
1.278
0.838
n F
LJ • r
273
£» / w
280
£.Uu
181
219
255
219
272
(~ 1 t*
225
£.£.w
238
£» wQj
163
*  An average weekday is significantly greater than an average weekend
   day at the 95th percent level (1.645).
** An average weekday is significantly greater than an average weekend
   day at the 33th percent level (2.326).
                                   G-l
-------
         TABLE  G.3  AVERAGE  WEEKDAY  AND WEEKEND CONCENTRATIONS
                    OF  FINE  (MICROGRAMS PER CUBIC METER).
Station

103
105
106
108
112
115
118
120
122
124
Mean
28.568
24.174
25.507
25.064
21.338
19.625
18.600
20.271
17.440
16.150
Weekday
Stand. Dev.
16.144
14.783
13.222
13.354
12.065
10.291
11.674
11.110
10.764
9.461

N
204
212
149
176
224
196
208
185
190
129

Mean
26.032
13.872
20.523
20.549
19.287
18.543
16.760
18.975
15.162
14.461
Weekend
Stand. Dev,
15.694
11.677
11.766
10.076
10.270
9.465
8.172
9.730
9.146
6.690

N
76
82
62
67
84
76
80
69
71
52
T-fest

1.178
2.365**
2.574**
2.508**
1.382
0.795
1.293
0.854
1.582
1.173
D.F

278
292
209
241
306
270
286
252
259
179
** An average weekday is significantly greater than an average weekend
   day at the 99th percent level  (2.326).
         TABLE G.4  AVERAGE WEEKDAY  AND  WEEKEND  CONCENTRATIONS
                    OF COARSE  (MICROGRAMS  PER  CUBIC METER).
Station

103
105
106
108
112
115
113
120
122
124
Mean
33.463
24.376
27.052
25.848
23.784
19.407
17.366
17.170
16.960
12.338
Weekday
Stand. Dev
17.204
13.245
12.637
14.385
14.405
11.714
8.856
8.645
10.363
8.196

. N
213
209
132
172
192
164
204
185
184
130

Mean
28.320
19.154
18.807
20.716
20.466
16.933
17.257
14.618
16.023
12.492
Weekend
Stand. Dev.
IB. 121
11.063
10.603
11.654
12.424
9.484
9.310
7.254
11.290
7.934

N
75
82
59
68
71
66
83
72
75
52
T-Test

2.263*
3. 163**
4.370**
2.620**
1.718*
1.526
0.094
2.219*
0.643
0.260
n F
LJ • 1
28S
289
189
238
261
228
285
255
257
180
*
   An average weekday is significantly greater  than  an  average  weekend
   day at the 95th percent level  C1.545).
** An average weekday is significantly greater  than  an  average  weekend
   day at the 99th percent level  [2.326).
                                   G-2
-------
          TABLE  G.5  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                     OF SULFUR (NANOGRAMS PER CUBIC METER).
stat;
ion
Weekday
Mean
103
105
106
IDS
112
115
113
120
122
124
3703.
3266.
3726.
3483.
3044.
2857.
2770.
2840.
2676.
2545.
503
278
309
733
735
356
657
563
534
314
Stand. Dev. N
2677.
2637.
2944.
2451.
2387.
1863.
2195.
2144.
2103.
2268.
665
450
281
688
999
086
493
614
179
709
212
222
153
188
225
207
203
190
191
136
Mean
3018.
2733.
2948.
2664.
2696.
2547.
2540.
2496.
2188.
1393.
678
933
129
952
754
790
787
172
539
896
Weekend
Stand. Dev
2038.
1661.
2031.
1610.
1823.
1306.
1542.
1746.
1464.
1208.
938
518
026
563
582
707
285
549
462
185
. N
75
87
65
72
86
84
81
73
77
54
                                                             T-Teat

                                                              2.017*
                                                              1.731*
                                                              1.942ft
                                                              2.624**
                                                                222
                                                                392
                                                              0.861
                                                                224
                                                                861*
                                                              1.692*
            D.F.

            285
            307
            216
            258
            309
            289
            282
            261
            268
            188
 *  An average weekday is significantly greater than an average weekend
    day at the 95th percent level  (1.645).
 ** An average weekday is significantly greater than an average weekend
    day at the 99th percent level  (2.326).
          TABLE G.6  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                     OF SILICON (NANOGRAMS PER CUBIC  METER).
Stat

103
105
106
108
112
115
118
120
122
124
ion
Mean
4835.812
3821.521
4631.646
4322.317
4336.197
3599.662
2313.721
2850.045
3073.956
2232.745
Weekday
Stand. Dev
2771.723
1969.344
2214.229
3011.003
3251.507
2712.325
1311.414
1595.735
2032.920
2007.925

. N
212
222
153
188
212
207
203
190
171
126

Mean
4628.670
3057.079
3179.269
3604.287
4163.654
3274.702
2962.123
2440.744
2916.046
2187.437
                                          Weekend
                                          Stand.  Dev.   N
                                          3219.714    75
                                          1948.820    87
                                          1993.536    65
                                          2346.651    72
                                          3576.936    82
                                          2328.559    84
                                          2016.452    81
                                          1712.163    73
                                          2019.577    67
                                          2191.890    54
T-Test
D.F.
0.533
3.078**
4.560**
1.822*
0.523
0.963
-0.603
1.825*
0.557
0.137
285
307
216
258
292
289
282
261
236
188
*  An average weekday is significantly greater than an average weekend
   day at the 95th percent level  (1.645).
** An average weekday is significantly greater than an average weekend
   day at the 99th percent level  (2.32S).
                                   G-3
-------
         TABLE G.7  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                    OF ALUMINUM (NANOGRAMS PER CUBIC  METER).
Stati

103
105
106
108
112
115
118
120
122
124
on
Mean
1568.088
1212.016
1228.813
1280.146
1329.908
980.719
814.137
843.714
802.837
610.910
Ueekday
Stand. Dev.
826.437
563.316
538.427
776.804
943.304
653.724
516.747
433.038
473.156
451.670

N
212
222
153
188
212
207
203
190
171
136

Mean
1417.384
950.948
913.268
988.378
1229.989
869.296
791.312
685.716
739.692
569.328
Weekend
Stand. Dev.
931.715
520.517
490.758
559.839
1022.464
528.177
460.790
423.024
476.426
483.856

N
75
87
65
72
82
84
81
73
67
54
                                                           T-Test
          D.F.
1.312
3.741**
4.061**
2.909**
0.795
1.389
0.346
2.666**
0.924
0.561
285
307
216
258
292
289
282
261
236
188
ft* An average weekday is significantly greater  than  an  average  weekend
   day at the 99th percent level  (2.326).
         TABLE G.8  AVERAGE  WEEKDAY  AND WEEKEND CONCENTRATIONS
                    OF  CALCIUM (NANOGRAMS PER CUBIC METER).
Stat

103
105
106
108
112
115
118
120
122
124
ion
Mean
3446.448
2948.647
2805.426
3100.284
2043.435
1729.192
2207.576
1558.375
1872.328
1036.920
Ueekday
Stand. Dev.
1985.804
1544.673
1261.151
2057.601
1173.099
1187.432
1581.731
936.680
1515.410
890.073

N
212
222
153
188
225
207
203
190
191
138

Mean
2842.306
2021.289
1704.924
2340.466
1738.688
1551.458
1741.211
1202.701
1889.961
876.681
                                          Weekend
                                          Stand. Dev.  N
                                          2068.830    75
                                          1437.538    87
                                            914.175    65
                                          1702.790    72
                                          1116.003    86
                                          1183.577    84
                                          1120.759    81
                                            755.810    73
                                          1550.105    77
                                            731.771    54
T-Test
D.F.
2.240*
4.838**
6.358**
2.788**
2.076*
1.158
2.421**
2.300**
-0.086
1.157
285
307
216
258
309
289
282
261
266
188
 *  An average weekday is significantly greater  than  an average  weekend
    day at the 95th'percent leva I  (1.645),
 ** An average weekday is significantly greater  than  an average  weekend
    day at the 39th percent level  (2.326).
                                   G-4
-------
          TABLE G.9  AVERAGE WEEKDAY AND WEEKEND  CONCENTRATIONS
                     OF LEAD (NAN06RAMS PER CUBIC  METER).
Stati

103
105
106
108
112
115
118
120
122
124
on
Mean
704.456
830.486
947.364
803.530
328.656
406.290
332.747
706.481
224.590
175.113
Ueekday
Stand. Dev
591.466
621.170
433.922
1025.211
536.471
259.773
308.275
378.391
178.001
203.087

. N
212
222
153
187
225
207
203
187
191
133

Mean
623.239
610.978
683.359
621.660
792.808
370.449
341.443
510.722
173.352
220.424
Ueekend
Stand. Dev.
591.370
414.794
294.659
703.885
591.592
241.913
228.118
305.867
153.084
328.766

N
75
87
64
72
86
84
81
71
77
54
                                                    T-Test   D.F.
1.022
3.871**
4.454**
1.384
1.941*
1.087
1.092
3.901**
2.000*
-1.142
285
307
215
257
309
289
282
256
266
185
*  An average ueekday  is significantly greater than an average weekend
   day at the 95th percent  level  (1.645).
** An average weekday  is significantly greater than an average weekend
   day at the 99th percent  level  (2.326).
          TABLE G.10  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                      OF VANADIUM (NANOGRAMS PER CUBIC  METER).
Station

103
105
106
108
112
115
118
120
122
124
 Mean
 7.682
 6.779
 6.672
11.467
 6.996
  ,095
  ,064
  ,010
  .314
5.
3.
3.
2.
       Ueekday
       Stand. Dev.
          7.
          5.
 1.948
  .366
  .904
 5.297
10.170
  .465
  .598
  .290
  .299
 3.321
 2.119
5.
4.
3.
3.
  N
212
222
153
187
225
207
203
137
191
133
Mean
5.612
4.275
4.637
7.522
6.194
5.495
2.631
1.939
2.092
                                   1.891
Ueekend
Stand. Dev.
7.076
4.410
3.739
6.389
6.117
5.198
3.241
2.966
3.145
1.762

N
75
87
64
72
86
84
81
71
77
54
                                                    T-Test   D.F.
 2.113*
 3.582**
 2.794**
 3.064**
 1.120
-0.648
 1.
 2.
 ,006
 ,392**
0.501
0.176
285
307
215
257
309
289
282
256
266
185
       *      S?Sday iS Si9niflcant|y greater than an average weekend
   day at the 95th percent level  (1.645).
** An average weekday is significantly greater than an average weekend
   day at the 99th percent level  (2.326).
                                  G-5
-------
          TABLE G.ll AVERAGE WEEKDAY AND WEEKEND  CONCENTRATIONS
                     OF TITANIUM  (NANOGRAMS  PER CUBIC  METER).
ion
Mean
171.679
234.863
575.795
145. 475
227.138
97.651
171.538
94.897
64.845
44.922
Weekday
Stand. Dev
258.401
365.777
813.272
153.584
331.790
89.671
247.642
115.613
56.149
44.737

. N
212
222
153
187
225
207
203
187
191
133

Mean
136.396
191.323
434.922
102.879
232.246
78.355
173.281
81.749
64.454
42.028
Weekend
Stand. Dev.
192.903
368.884
821 . 487
105.813
350.907
69.515
195.887
110.983
62.772
41.816

N
75
87
64
72
86
84
81
71
77
54
                                                             T-Teet   D.F.
                                                              1.080
                                                              0.939
                                                              1.
                                                              2.
160
163*
                                                             -0.120
                                                              1.768*
                                                             -0.057
                                                              0.825
                                                              0.050
                                                              0.408
285
307
215
257
309
289
282
256
266
185
 *  5° aT?Ee Qc!ud3y iS Si9nificantly greater than  an  average weekend
    day at the 95th percent level  [1.645).
          TABLE G.12  AVERAGE WEEKDAY AND WEEKEND CONCENTRATIONS
                      OF IRON (NANOGRAMS PER CUBIC METER).
Station

103
105
106
108
112
115
118
120
122
124
Mean
1888.531
1393.919
1517.305
1931.591
1122.624
792.904
692.605
671 . 865
659.540
422.789
Weekday
Stand. Dev
1022.545
780.332
758.668
1553.666
757.862
482.715
357.345
357.873
350.867
306.860

. N
212
222
153
187-
225
207
203
187
191
133

Mean
1615.611
868.458
975.800
1161.329
978.050
691.478
670.054
497.401
588.715
383.896
Weekend
Stand. Dev.
1060.541
570.937
702.738
966.925
835.369
355.185
377.856
296.076
390.972
302.809

ij
75
87
64
72
86
wu
84
81
71
77
54
                                                            T-Test    D.F.
l,967,v
5.708**
4.. 898**
3.911**
1.462'
1.743*
0.472
3.659**
1.446
0.788
285
307
215
257
309
289
282
256
266
185
**
                                               than an averase usekend
                                   G-6
-------
                             APPENDIX H

                DECISION-TREES RELATING FINE AND IP
                    TO ELEMENTAL CONCENTRATIONS
                             CONTENTS

Figure                                                              Page

 H.I     Decision-tree relating FINE at station 103 to
        elemental  concentrations	H-l

 H.2     Decision-tree relating FINE at station 105 to
        elemental  concentrations	H-2

 H.3     Decision-tree relating FINE at station 124 to
        elemental  concentrations	H-3

 H.4     Decision-tree relating IP at station 103 to
        elemental  concentrations	H-4

 H.5     Decision-tree relating IP at station 105 to
        elemental  concentrations	H-5

 H.6     Decision-tree relating IP at station 124 to
        elemental  concentrations	H-6
-------
N'
11-
S"
b55
27.50
16.97
Figure H.I   Decision-tree relating FINE at station 103 to elemental concentrations.
-------
I
ro
                                              <- 3093.00

                                              N-     32
                                              M-   30. (id
                                              S>   6.72
<=
N-
fl-
S-
2520
33
50
1G
12

>
N-
S-
2520
12
,na.
/j
                 Figure H.2   Decision-tree relating  FINE at station  105 to elemental  concentrations,
-------
                                         N=     394
                                         M-   16.02
                                         S=    9.51
                                  <= 1811.50
  1814.50
N-
M=
S-
210
10.29
4.27



N-
f1=
S-
184
22.56
9.62
                                  *RflNK
co
SULFUR
                                            3307.40
       > 3307.40
N=
M-
S=

17.
4.
B9

82



N=

S=

29
9.
85

81
                                         *RflNK=  5*
       SULFUR
                                                <= 4965.30
                4965.30
N-
n-
s-

24
b.
44

43



N-
n=
s-

34.
10.
41
?8
/3
                                                *RflNK=  4*
                                                        ° 6290.70
                       6230.70
N=
M-
S=

26
4
?l
.84
.38



N=
M-
S=

42
9
?0
.11
.82
                                                       *RRNK=  3*
                     SULFUR
                                                              <= 8437.60
                              8437.60
N=
n=
s-
10
3C crQ
D . wO
5.81



N-
n=
s-
10
47.65
10. 10
                                                                            *RflNK-
                  Figure H.3    Decision-tree relating  FINE at station 124  to  elemental  concentrations.
-------
                                                                                  »IWNK=
Figure H.4   Decision-tree  relating  IP  at station 103 to elemental concentrations.
-------
                        N-     C5    N-     (
                        II-  53.J9    II-   63. t,
                        S-  14.53    <>   2fl.;
                                   "•;_!!U.fcLD0    > 14i0.3d
                                           fl~l FN
                                   11-  03.7;?    tl    05.77
                                   U-  17.VI    U-   20.02
Figure H.5    Decision-tree  relating IP  at station 105  to elemental  concentrations.
-------
CT)
                                                                                           51U8.30
23
.7?
5.65



N>
h-
S-
22
59.83
15.16
                                                                                         «RRNK
                Figure  H.6    Decision-tree relating  IP  at station 124 to elemental  concentrations.
-------
                               APPENDIX I

          DECISION-TREES RELATING TSP, IP, FINE, COARSE, AND EIGHT
          ELEMENTAL CONCENTRATIONS TO METEOROLOGICAL VARIABLES.
                               CONTENTS

Figure                                                                Page

 I.I   Decision-tree relating TSP at station 103
       to meteorological  variables	1-1

 1.2   Decision-tree relating TSP at station 105
       to meteorological  variables	1-2

 1.3   Decision-tree relating TSP at station 124
       to meteorological  variables	1-3

 1.4   Decision-tree relating IP at station 103
       to meteorological  variables	1-4

 1.5   Decision-tree relating IP at station 105
       to meteorological  variables	1-5

 1.6   Decision-tree relating IP at station 124
       to meteorological  variables	1-6

 1.7   Decision-tree relating FINE at station 103
       to meteorological  variables	1-7

 1.8   Decision-tree relating FINE at station 105
       to meteorological  variables	1-8

 1.9   Decision-tree relating FINE at station 124
       to meteorological  variables	1-9

 I.10  Decision-tree relating COARSE at station 103
       to meteorological  variables	1-10

 I.11  Decision-tree relating COARSE at station 105
       to meteorological  variables	I-ll

 1.12  Decision-tree relating COARSE at station 124
       to meteorological  variables	1-12

 1.13  Decision-tree relating sulfur at station 103
       to meteorological  variables	1-13

 1.14  Decision-tree relating sulfur at station 105
       to meteorological  variables	1-14

 1.15  Decision-tree relating sulfur at station 124
       to meteorological  variables	I_15

 1.16  Decision-tree relating silicon at station  103
       to meteorological  variables	I_16

 1.17   Decision-tree relating silicon at station  105
       to meteorological  variables	I_17
-------
Figure                                                                Page
 1.18  Decision-tree relating silicon at station 124
       to meteorological  variables	1-18
 1.19  Decision-tree relating aluminum at station 103
       to meteorological  variables	1-19
 1.20  Decision-tree relating aluminum at station 105
       to meteorological  variables	1-20
 1.21  Decision-tree relating aluminum at station 124
       to meteorological  variables	1-21

 1.22  Decision-tree relating calcium at station 103
       to meteorological  variables	1-22
 1.23  Decision-tree relating calcium at station 105
       to meteorological  variables	1-23
 1.24  Decision-tree relating calcium at station 124
       to meteorological  variables	1-24

 1.25  Decision-tree relating lead at station 103
       to meteorological  variables	1-25
 1.26  Decision-tree relating lead at station 105
       to meteorological  variables	1-26
 1.27  Decision-tree relating lead at station 124
       to meteorological  variables	1-27

 1.28  Decision-tree relating vanadium at station 103
       to meteorological  variables	1-28
 1.29  Decision-tree relating vanadium at station 105
       to meteorological  variables	1-29
 1.30  Decision-tree relating vanadium at station 124
       to meteorological  variables	1-30
 1.31  Decision-tree relating titanium at station 103
       to meteorological  variables	1-31
 1.32  Decision-tree relating titanium at station 105
       to meteorological  variables	1-32
 1.33  Decision-tree relating titanium at station 124
       to meteorological  variables	1-33
 1.34  Decision-tree relating iron at station 103
       to meteorological  variables	1-34

 1.35  Decision-tree relating iron at station 105
       to meteorological  variables	1-35
 1.36  Decision-tree relating iron at station 124
       to meteorological  variables	1-36
-------
N=
n=
s-

108
38
53
.SB
J2



N=
M=
S-

81
29.
^0
53
02
                               *RflNK
*RHNK=  2*
Figure I.I   Decision-tree relating TSP at station  103  to meteorological  variables.
-------
                              <=
                                     N=     103
                                     M-   87.83
                                     S=   33.34
                                      SDflYS PP
3.00
N-
M=
S=

73
24
51
.IR
.83



N-
h=
g=

IPIfl.
34.
58
70
/i
                              *RflNK=  2*
Figure 1.2   Decision-tree relating TSP  at  station 105 to meteorological variables,
-------
                                    N=     104
                                    M-   52.95
                                    S=   26.99
                                     MflX TEHP
                                  18.30
                     18.30
N=
M=
S-

39
ib'
49
99
94



N-
f1=
S-
55
61.43
29.09
                             *RflNK=  5*
                      HUM
                                         64.80
                                  -1.00
                     -1.00
                            7.00
                                           *RflNK
               7.00
N=
M-
S=

63.
16.
7
57
59



N=
M=
S=

1 II
28
7
fit
.87
=  2*
                                    *RflNK=
                             4.80
N=
K-
S=

X4
30
?B
HI
.61



N=
M=
g=

Fi3
23.
?7
RF1
36
N-
n=
s-

8/.
33.
14
hH
6G



N-
ri=
S=
14
62.23
21.62
Figure 1.3   Decision-tree  relating TSP at station  124  to  meteorological variables.
-------
N=
P1=
S-
135
45.49
19.74
N-
11=
S=
140
74.01
30.97
             4.22
                   4.22
3.32
3.32
N= 66
M- 53.72
S= 21.61

N= 69
IS- 37.61
S= 13.90

N= 68
M- 85.61
S= 35.16

N= 72
(1- 63.05
S= 21.45
*RflNK=
                    *RflNK=  6*
        *RflNK=  4*
N-
n=
s=

Bfl.
26.
40
5?
24



N-
M=
S-

108.
33.
?a
R0
77
                                   3*
                           <-
                                      67.50
                                              67.50
N=
M-
S-

l?/
36
14
B4
62



N=
M-
S=
14
83.67
15.99
                                         1*
                                         *RflNK
Figure 1.4   Decision-tree relating  IP at station 103 to meteorological  variables,
-------
N=
M-
S=
282
45.63
25.19
N-
M=
S-
142
35.58
16.35
          HV
        3.55
  *RF)NK=  7*
SP
      3.55
N=
M-
b'=

42
I/
76
.35
.35



N=
M-
S=

?7
10
68
.79
.85
*RflNK=  8-
It
S=
S0
46.13
17.48
fi:
S=
50
73.62
34.97
N=
f-i=
S=
32
62.82
28.62
                                      MIXHI  RM
N-
H=
S=
20
89.83
37.97
                                                  MIXHT Pfl
                               °  286.43
                             >	286.43
N=
11=
S=
13
82.32
28.52



N=
M-
S=
17
47.91
18.15
<- 1391.62
                                                          *RHNK=   4*
                                                                         > 1331.62
N=
M-
S=

bM
14
6
.b3
.38



N=
M-
8=

106
31
14
R8
.77
                                                       *RflNK=
                            57.00
N-
M=
S"

64
18
7
.76
.26



N-
n=
s-

102
24
6
.80
.83
                       -xRRNK-  3*
Figure 1.5    Decision-tree relating  IP at  station 105 to meteorological variables,
-------
Figure  1.6   Decision-tree relating IP at station 124 to meteorological variables.
-------
1.31
i> 75
11- 2'l.59
•> 10.59
IT- "/hi
M- IC.fi?
S- 6.90
11-
S-=
?7.80
67
29.8!']
1M.57
        - r(HNK=  7"
                                                              fi:
                                                                  ti.36
                                                                  19.11
                       1.H3
                      a 1.84
                      13.'II
51.17
13.52
FSE TO s sy TO E <- 2.00
N- 13
M- ia.06
S- 12.67

N> ?3
M- 28. H3
S- 15.02

N» 11
M- 13.35
S= 13.11
                                                   «RF1NK= G«
N-
M-
b=
11
G3.71
16.09
Figure  1.7   Decision-tree  relating  FINE at  station  103 to meteorological  variables.
-------
I
CD
                                                                                                          1.00
N=
M-

51
30.62
la.eu
<- 1 71 > 1.71 S FIND SW U TO SE
N= 12
M- 56.9?
S= 20.36
N- 13
M- 35.32
S= 13.85
fi: 39. A3 1
S= 16.53
N= 12
fl- 22. «2
S= 10.31
                                                                             -2.70
                                                                                          «RflNK=
                                                                                        -2.70
                                                                                                      JIDY
                                                                        n-  12.ox
                                                                        S-  IB.79
                                                                                                    3.03
                                                                                    tRRNK-  1*    *RflNK- 6*
                                                                                                               3.0a
N- y
n= 7i.i7
!i- 11.03

N- 7
H= 33.07
S- 6.01

N- 7
fl- 1G.7I
S- 20.90
                                                                                                           ZRELJIUC1
                                                                                                         59.00
                                                                                                                    59.03
[N-
n-
"
3
62.13
21.43



N=
M-
£u

MS
12
1
I/
39
                          Figure 1.8   Decision-tree relating  FINE at station 105  to meteorological  variables,
-------
N-
M=
S-
94
12.59
5.67
N-
M=
S-
87
18.99
10.23
N=
M=
S=
56
11.93
6.38
N-
M=
S-
16
20.69
6.73
                              MIN  TEMP
                           16.10
     16.10
                          =  5*
*RfiNK=  3*
N=
M-
s=
31
26.33
11.79
                                                              3.00
N=
h=
S»
15
32.35
13.20
                      *DY CfiLh
N=
M-
y=

16
4
R
.34
.92



N=
M-
S=

25
5
8
04

      4.00
*RfiNK
                                                                     1.00
N=
M-
S=

20.
8.
R
7S
27



N=
M-
S=
9
40.09
9.68
                                                        <=
N-
M=a
S"

34.
4.
Fi
40
19



N-
n=
s-

47,
10.
4
?PI
24
                                                        *RRNK=   2*
Figure 1.9   Decision-tree relating  FINE at station 124 to meteorological  variables,
-------
i
1—1
o
                                                        N=     288
                                                        M=   32.12
                                                        S=   17.05
N-
P1=
S=

P4
13
14,1
.70
.50
N-
11=
S-
147
3fl.I
17.
?4
ii
                                  4.22
                           3.33
                             HflX TEMP
                          11.70
       *RRNK=  7*
     11.70
                   3.33
N= 70
M- 28 . 53
S= 15.07

N= 71
M- 20.94
S= 10.55

N= 71
M- 45.31
S= 19.88

N= 76
M- 33.57
S= 11.55
SDHYS PP
-»RflNK=  5-*
N- 38
f1= 23.09
S- 12.00

N= 32
M= 34.37
S- 15.97

N= 33
N= 37.42
S= 16.24

N- 38
M= 52.16
S- 20.40
                     *RRNK=   6*
*RflN«=
3*
                                                              1.95
N=
M-
S=

61
20
IB
33
94



N=
M-
S=
20
43.90
16.32
                                                                     *RflNK=  2*
          Figure 1.10    Decision-tree relating COARSE  at station 103 to meteorological variables,
-------
                                               N=     29 i
                                               M"   22.90
                                               S=   12.87
N=
ri=
s-
143
18.13
9.16
                   <=
N-
M=
S-
148
27.51
14.21
                                                       #DY CflLM
10.03
N=
M=
S=
68
14.70
7.07



N=
M-
S=
75
21.25
9.75
                                                     1.00
                                           1.00
                                 RV WD SP
N=
H=
S=

23
10
H4
b4
27



N=
M-
S=

34
17.
54
44
27
                       *RfiNK=  6*
        HIXH
                               2.99
                      2.99
N-
M=
b=

26
y.
3R

b0



N-
M=
b-

1R.
7.
39
7fi
68
<=  286.43
                                                                       286.43
                                            =  7*
N-
f1=
b=

M4
I/
24
03
24



N-
M=
S=

PR.
13.
30
77
13
                               flV  WID  SP
                                                                           4*
                                                    2.13
                                           2.13
N=
M-
S=

bi.
19.
t?
03
91



N=
M-
S=
12
37.03
10.88
                                                     SP
                                             1.46
                                     *RRNK=  3*
                                   1.46
N=
n=
s=

63.
14.
fi
R?
04



N-
n=
s-

nfl.
16.
fi
IS
62
                                                     *RHNK-  2*
Figure I.11   Decision-tree relating COARSE  at  station 105 to meteorological  variables.
-------
i
i—•
ro
       <=
            18.90
N=
M-
b'=
182
12.74
8.10
N-
n=
a-
94
14.49
8.75
                                   <=   64.90
N=
n=
s-
88
10.87
6.92
                            64.90
                             5.G0
                             5.60
N= 44
M= 17.95
S= 10.07

N= 50
M= 11. 45
S= 6.01

N= 44
M- 13.01
S= 4.91

N= 44
M= 8.72
S= 7.96
                                                      =  6*
                                          =  5*
                                      XRELJHUM
N-
n=
s-
23
21.56
8.42
N-
h=
s-
21
14.01
10.42
                                                                          68.10
                                          D7HM PRS
18.90
-0.80
-0.80
16.70
16.70
            =   4*
             tt=  3*
              =   8*
          «DflYS FP
         *RfiNK=  10*
                                                                           3.00
N-
n=
s-

10.
2.
5
flfi
98



N-
n=

6

7.11
                                                                         K=  2*
                                                              60.10
N=
(1=
S-

13
10
17
W
42



N=
ri=
s=
27
5.71
3.68
N= 11
PI- 15.71
S= 5.01

N= 12
M- 26.92
S= 7.32

N= 8
M- 21.17
S= 8.83

N= 13
M= 9.60
S= 8.95

N= 11
M- 18.75
S= 9.19

N= 6
M- 3 . 88
S= 2.68
         Figure 1.12   Decision-tree relating  COARSE at station 124 to meteorological variables.
-------
                                         N=     287
                                         M= 3524.51
                                         S= 2510.83
                           153
                    f1= 2455.21
                    S= 1337.25
                    *RflNK
                                   67
                           N= 3653.28
                           S= 2331.89
                     N=      67
                     H= 5337.66
                     S= 3210.54
SP
                                                        #DY
                          3.01
      3.81
1.00
1,00
N- 32
M= 4816.47
S- 2613.70

M= 35
11= 2589.79
S= 1384.33

N= 43
f1= 4717.63
S= 2558.53

N- 24
M= 7844.40
S- 3328.23
                                                                    flLM
                                                                           2.00
N= 11
M= 5605.81
S= 1926.27

N= 13
M- 9738.61
S= 3107.76
Figure  1.13   Decision-tree  relating sulfur at station  103  to meteorological variables,
-------
                               N=     309
                               M=  3118.05
                               S=  2412.12
                        <=
9.40
                                           9.40
N- 165
N= 2123.17
S- 1175.04

N- 144
M= 4258.05
S- 2315.05
                                      fcCY CflLM
                                    1.
                     1.00
N= S2
M= 3146.49
S= 1708.08

N= 52
M- 6224.71
S= 3528.19
                              *RF)NK=  5*
                                           3.00
                                     *RRNrt
                            3.00
N- 31
11= 5202.64
S- 2337.42

N- 21
N= 7733.49
S- 4371.70
                                                  5.00
                                   5.00
N= 11
M" 5659.42
S= 3309.49

N= 10
["H10014.96
S= 4388.58
                                                 =  3*
                              MIN  IEMP
                                                   <=
                                                        17.80
                                         17.80
N-
ri=
s-

6963.
1813. i
5
1?
34



N-

S-

3Plf
40J
5
36.62
34.23
                                                   *RflNK-  2*
                                    *RflNK-
i-x
Figure  1.14   Decision-tree relating sulfur at  station 105 to meteorological  variables,
-------
                                N=     190
                                M- 2388.58
                                S= 2036.67
                                 #OY CflLM
                         <=
                               ...0.00
N- 38
(1= 1765.41
S- 1039.16

N= 92
M= 3052.41
S- 2569.10
                                        #OY CflLM
                                <=
                                      1.
N= 60
M- 1932.08
S= 986.54

N= 32
M- 5040.52
S= 3358.57
                                *RRNK=   4*
                                       *RflNK=  2*
                                                          3.00
N- 17
M= 3564.86
S- 1553.66

N- 15
M= 6712.34
S- 4067.88
<-
N=
M-
S=
4.
3361.
2471.
00
6
80
11

>
N=
M-
S=
4.
8947.
3332.
00
04
30
                                             *RflNK=  3*
=  1*
Figure 1.15   Decision-tree  relating sulfur at station 124  to meteorological variables.
-------
                                                                       N=     287
                                                                       M= 4781.63
                                                                       S= 2891.ii
                                    N-     116
                                    n= 6082.21
                                    S- 2760.08
                                                                 N=     111
                                                                 M= 3434.95
                                                                 S- 2365.23
                                                                                             ZRELJ-iUM
                                                                                          78.70
               N=       77
               M-  5180.73
               8=  2433.34
                flfiX  TEMP
                              N=      69
                              M- 7088.31
                              S= 2771.14
                                                                             78.70
                               MIXHI PM
N= 72
M= 4266.64
8= 2446.65

N= 63
M= 2567.11
S= 1941.89
                                      SDflY
            21.10
21.10
  <= 1485.37
        > 1485.37
3.03
                                           *Rfli\rt=
3.02
cr>
I i\= 35
!'i= 33*31.18
S= 18^4.61

N- 42
M= 6247.03
8= 2330.13
       *RflNK=
N= 26
n= 6227.94
S- 3293.19

N- 43
(1= 7608.55
8= 2289.60

N= 40
Pl= 3295.84
S= 1646.21

N- 32
[1= 5480.17
S- 2750.35
                   59.60
       59.60
56.90
                                     *RflNK=  2*
     56.90
                              *RRNK-  9*
N= 21
M= 7437.07
S= 2137.24

N= 21
M- 5056.99
S= 2041.88

N= 12
M= 8022.09
S= 4033.98

N= 14
M= 4690.10
S= 1235.81
                             *RflNK=
                 RV
  SP
                                    <=
                                          4.14
*Rf)NK=  7*
                             4.14
N- 5
11=10987.36
S- 4458.61

N- 7
M= 5904.05
S- 2026.33
                                    *RfiNK=  1*
                       *RflNK
        Figure 1.16   Decision-tree relating silicon  at station 103 to meteorological variables,
-------
                                          N=     309
                                          M- 3606.25
                                          S= 1990.16
                     <=
                          67.00
                          67.00
N- 153
n= 4410.15
S- 1954.05

N- 150
F1= 2751.16
S- 1649.29
                      D7HMJ3RS
                      MHX TENP
                    0.10
      0.10
     13.90
    13.90
              *RflNK=  2*
 mx IEMP
N= 77
M- 4944.22
S= 2049.57

N= 82
M- 3908.67
S= 1726.51

N= 71
M- 2067.86
S= 1140.43

N= 79
M- 3370.97
S= 1793.03
*RfiNK=  9*
SDRYS PP
                          22.20
            22.20
             2.00
                                   *RflNK-=  3*
            2.00
N= 36
M= 3186.14
S- 1502.68

N= 46
f1= 4474.15
S- 1692.55

N= 40
H= 2705.23
S- 1529.66

N- 33
P1= 4053.80
3= 1803.50
                             7*
N= 19
M- 2295.26
S= 560.11

N= 17
M- 4181.83
S= 1609.56
              *RflNK=  8*
                                                              2.86
                                                2.86
*RflNK=
N= 21
M- 4840.30
S= 1942.87

N= 18
M- 3136.22
3= 1083.54
               MflX  TEMP
                                                      28.30
             *RflNK=   6*
                                        28.30
N- 11
M= 3617.07
S- 835.07

N- 10
H= 6185.86
S- 1942.41
                                                      =  5*
                                           1*
Figure 1.17   Decision-tree  relating silicon at  station 105 to meteorological  variables,
-------
                                                        N=      130
                                                        M-  2219.85
                                                        S=  2056.09
                                                         XREL^UM
                                                     64.90
                                   64.90
N-
11=
S-

2931
24b'4
94
.24
./I



N-
n=
s-

i5?r
121:
96
3.30
).50
                            N=      54
                            M-  3831.81
                            S=  2332.36
                             «DRYS PP
oo
N- 30
M= 3013.80
S- 1568.42

N- 24
M= 4854.33
S= 2734.30
                     *RfiNK=
        HUM
                           <=
52.60
                                              52.60
                                         *RflNK=  3*
                                     N=      40
                                     M- 1715.48
                                     S= 2103.65
                                      UINDJIR
                                                                E TO S
                                              SW TO NE
N" 18
f1= 2601.58
S= 2134.26

N- 22
N= 990.49
S- 1831.49
N= 11
M- 6312.78
S= 2630.65

N= 13
M= 3620.27
S= 2227.82

N= 10
M- 1343.93
S= 1702.78
                            =   6*
*RflNK=  2*
          Figure 1.18   Decision-tree  relating silicon at station  124 to meteorological  variables,
-------
                                                N=     287
                                                M= 1528.69
                                                S=  856.11
                           N-     146
                           h= 1841.95
                           S-  812.13
                            mx TEMP
                         24.40
            24.40
                                  *RflNK=   1*
<=
N-
M=
c_
58

1946
826
.70 >
35
.22
.17


N-
S=
58

1323
602
.70
38
.24
.80
             *RflNK=  2*
*RHNK=  4*
                            N-     141
                            H= 1284.34
                            S=  778.44
N= 73
M- 1621.93
S= 779.27

N= 73
M- 2061.98
S= 789.20
                                                     78.70
                     *RflNK=
                                        78.70
N'=
M=
S=

1472.
768.
1?
?4
63



N=
M-
S=*

924.
689.
69
79
52
Figure 1.19   Decision-tree  relating aluminum at station  103  to meteorological variables.
-------
i
ro
                                                         2UJ

                                                            IB
                                                      M- !G21.fi5
                                                      S=  192.'I'I
                                                            3»
0.10
N= 21
M- 2001.33
S= 623.53
M- 1510.66
S- 703.79
N- ?2
M- 1191.26
S= 351.71
           Figure 1.20   Decision-tree relating aluminum at station  105 to meteorological variables,
-------
ro
                                                           N=     190
                                                           M-  599.09
                                                           S=  460.14
N-
n-
s-
135
720.21
432.32
                                      XREL^HUM
                                   G7.10
       67.10
                               HINDJDIR
                        C   2.  51
  *RfiNK=  5*
N- 23
M= 1J41.04
S- 493.39

i n n
zzrcn
756.62
339.05
                       *RflNK=  1*
=  2*
N-
11=
S=
85
449.47
451.65
                        WIND rilR
N=
M-
S=

940
4b8
48
.8?
.60



N=
M-
S=

534.
306.
57
44
17
   E TO S
                                                                          SWTONE
N=
M-
S=

blld
^/2.
40
41
18



N=
M-
Q—

30F!
383.
45
4?
85
*RflNK=  3*
                                                                      60.90
                                          60.90
N-
ri=
s"

bH4.
bi/.
16
BI




N-

S-
23
152.77
138.90
                                                                 *RflNK=  4*
            Figure 1.21    Decision-tree relating aluminum at station 124  to  meteorological variables.
-------
                                          N=      287
                                          fl-  3288.51
                                          S=  2021.75
                     N-     129
                     F1- 2277.46
                     S- 1413.03
                                   N-     158
                                   M= 41H.07
                                   S- 2071.78
                      XRELJHUM
              <-   75.
              N=      70
              M- 2899.68
              S= 1375.27
              *RflNK=  7*
i
ro
     75.00
                                               23.30
N= 59
M- 1539.25
S= 1065.21

N= 79
M- 3452.31
S= 1834.58
                                                        N=      79
                                                        M- 4775.85
                                                        S= 2094.46
*RflNK= 10*
   feCRY
                                                                                          EHP
                                         6.00
                           6.00
                                                                             <=   15.60
                                                                    15.60
N- 37
M= 2775.30
S- 1418.35

N- 42
P1= M048.66
S= 1964.38
N- 40
M= 5642.52
S- 2348.94

N- 33
M= 3886.96
S- 1319.11
                                   *RflNK-  8*
                      HV
                SP
                                                4.22
                                  4.22
                                    3.05
                                                                                          3.05
                                          N-      22
                                          M- 4737.21
                                          S- 2337.17
N= 20
M- 3291.26
S= 1066.16

N= 20
M- 6512.17
S= 2611.60

N= 20
M- 4772.88
S= 1706.72
                                           MIXH
                                   <=  600.00
                            *RflNK=  6*
                               flV WD SP
          >  600.00
                                                               <=
                                         1.36
                                                                                    *RRNK=  4*
                                                                                   1.96
N- 10
M- 2734.71
S- 1142.29

N- 12
M= 6405.97
S- 1636.20
N- 10
PI- 8245.68
S- 1945.41

N- 10
n- 4778.67
S- 1983.99
-  9*
                                                 *RfiNK-  2*
                                   *RflNK-  1*
                                                                             *RflNK-  3«
                Figure 1.22   Decision-tree relating calcium  at station 103  to  meteorological variables,
-------
I
ro
GO
                          N=    3'l I I N
                          11- 3295.'Jl   M-  1767.3'!
                          S- 1077.51 I I S-  551.77
               Figure 1.23    Decision-tree  relating  calcium  at station  105 to meteorological  variables,
-------
i
ro
                                              N=     190
                                              M-  991.37
                                              S=  861.69
                                               MIN
                                       <=
8.30
                                                           8.30
N=
M=
S-

12S5.
8G9.
97
53
21



N-
f1=
S-

R74
733
93

.30
                                                    2.00
N=
M-
S=

8R5.
424.
43
49
56



N=
M- 1637.
S= 977.
54
98
83
                                *RflNK=
  HflX TEMP
                                            13.30
                                       *RflNK
             13.30
N- 27
M= 1174.44
S- 535.25

N- 27
11= 2101.52
S- 1102.86
         flv  wn SP
                                                    4.42
                    4.42
N=
M-
g=

25G1
a/t)
ifi
59
29



N=
M=
S=

1432.
358.
1 |
34
61
                                                           *RflNK=  2*
        Figure  1.24    Decision-tree relating calcium at station  124 to meteorological  variables,
-------
                                     <=
                                            N=     287
                                            M-  683.23
                                            S=  591.43
                                             flV UO SP
                                           3.83
                                     *RflNK
i»
ro
en
            3.83
N-
n-
s-
134
902.10
738.41



N-
n=
S-
153
491.54
323.35
*RflNr<;=  2*
       Figure 1.25   Decision-tree relating lead at station  103  to  meteorological variables,
-------
                            N=     309
                            M-   811.78
                            S=   583.75
                             nv  «o SP
                     <=
            3.41
3.
N-
n=
s-
150
961.09
707.00



N-
M=
S=
159
670.93
389.56
                      RV WO  SP
                    2.25
                    *RRNK=  7*
                   2.25
N=
M-
S=

1202
907
70
.43
.40



N=
M-
S=

749
356
80
93
14
               *DY CflLII
       <=
                 rt=  6*
             1.
            1.00
N=
n=
s-

97
54£
43
.94
3.68



N-
M=
S-

1569.
1214.
?7
50
32
       *RflNK=  5*
                   -2.40
                  -2.40
              *RRNK
              MflX TEMP
N= 14
M- 1105.75
S= 384.62

N= 13
M- 2068.92
S= 1585.42
                          28.30
                     *RflNK
                         28.30
N=
n=
s-

1371
493
8
54
79



N-
n=
s-

3184.
2141.
5
74
25
                            *RflNK=  1*
                                                4.00
N= 2
M- 5343.30
S= 980.90

N- 3
M- 1745.70
S= 960.81
                           *RRNK=  2*
Figure 1.26
Decision-tree  relating lead at station  105
to meteorological  variables.
                            1-26
-------
I
r\>
SOUIIIWE
N-
ri-
'•''

;"'3
1 /9
— -\
~f 	 . 	 WtJT_
5
litl
U/
N-
M • 9M1
SJ= /i'l.

"fi
tiu
/(';
                                                       nix'ii ?-n
                                    -j..llf^.OP_
                                    I!-      5
                                    '!•  :-?T.?n
                                    c;-  'i-'i fij
	-__! 10?. nn
 N-     " 'f
 N-  I'I;T>. ir>
 P-   (v'l.B'l
                                   X
                                               -3.55'
                                                      N-      ;?
                                                      n-  «I;M 5rj
                                                      S'  5'i:"'.^.'

                                                       U/Url ilib
                                                        X  \

                                                       .
                                                     K . vKi
         Figure  1.27    Decision-tree relating lead at station 124 to  meteorological  variables,
-------
                                             N=     287
                                             M-    7.if
                                             S=    7.34
                                             MIN TEMP
                                     <=
                                           8.30
                                     *RflNK=  3*
     8.30
N-
H=
S-
153
5.00
6.0S



N=
M=
S-
134
9.59
7.90
flV WD SP
                                                  3.32
oo
                                            *RflNK=  1 *
            3.32
N=
M=
S=

12.
8.
fiS
58
92



N=
M=
g=

fi
5
69
.76
.52
           =  2*
       Figure 1.28   Decision-tree  relating vanadium at station  103  to  meteorological variables,
-------
                                    N=     30S
                                    M=    6.07
                                    S=    5.63
                                     MflX TEMP
                                  21.70
    21.70
N-
M=
b%=
158
7.70
6.14



N=
n=
s-
153
4.42
4.52
                             *RflNK=  1*
MIN IEMP
                                         15.60
                                    *RflKK=  2*
           15.60
N=
M-
S=
Si
5.83
5.07



N=
M=
S=
72
2.76
3.08
      *RHNK=
Figure 1.29   Decision-tree relating  vanadium at station 105 to meteorological  variables,
-------
                                      <=
                                                   187
                                                  1.33
                                                  2.02
                                             f1IN JEM?
13.03
10.03
N=
M=
5=
103
2.56
2.05

s i
fi= 1
S_ i
~~ i
84
16
69
oo
o
        Figure 1.30   Decision-tree relating  vanadium at station 124 to meteorological  variables,
-------
u>
        Figure 1.31   Decision-tree relating titanium at station 103 to meteorological  variables
-------
                             N=     309
                             r,=  222.60
                             S=  366.58
                              WINDJJIR
                       SETOSy
                       W TO E
N-
M=
S-

365
511

sW
b«



N=
n=
s-
184
1?5 73
159. 72
                     3.70
                                    *RRNK=  7*
                    3.70
N=
M-
S=

514.
657.
R5

83



N=
M=
S=

203
1/0
60
06
92
                HflX TEMP
             27.20
              *RflNK=
            27.20
N-
n=
s=

3^2.
255.
30
53
77



N=
M=
S-

H/9
835
35
. /h-
.54
        *RflNK
        D7flf1_PRS
                    -1.90
                    -1.90
N=
M-
Q —

375
249.
18
31
86



N=
M= If
S= if
17
102.10
596.60
               -»RflNK=  4*
                      <=
                           13.90
                           13.90
N-
M=
S-

1771
1470
fi
17
17



N=
f1=
S-

5R?
543
II
B!
06
                       MIN IEMP
               <=
                    11.70
                      *RflNK=  2*
                    11.70
N=
M-
S=

3034.
653.
3

11



N=
M-
S=

508.
436.
3
10
93
               *RflNK=  1*
               *RRNK=   3*
Figure 1.32
Decision-tree  relating titanium at  station 105
to meteorological  variables.
                               1-32
-------
i
u>
u>
                                                     187
                                                   44.B3
                                                   43.32
                                     13.30
                                *RfiNK=  i*
13.33
=  3*
<=
N-

S-
64

56
52
.80 >
92
.78
.75



N=
M=
S-
64

3!

90
S5
8Z
21
N=
M-
S=

/e.
53.
53
HH
02



N=
M=
Q 	
33
30. 13
44.43
         Figure  1.33    Decision-tree  relating titanium at station  124  to meteorological variables,
-------
CO
                           <- man.00.

                            " 1675.28
                           S-  662.59
           N=
           M» 2201.
>
N-
t
R
3738
1541
•RHNK-
00 <-
08
22

COIZZ
n i «
5
5G63
2081
3« «RF\NK"
00 .
0b
.30
1"
If

>
N-
M-
G=
«H
5.00
3H08.56
871.38
1Nrt= 2«
           Figure  1.34
Decision-tree relating  iron  at station  103 to meteorological variables.
-------
en
                                     N-     309
                                     M- 1245.96
                                     S=  764.10
                                      HflX TEMP
                                   20.60
20.60
N=
M= J
S- E
1-45
334.83
386.8!



N=
M=
y-
164
1476.85
827.62
                                      3*
                                           1.
                                     *RflNK=  2*
 flLM
N= 108
M- 1255.58
S= 548.68

N= 56
N- 1303.61
S= 1078.28
  *RflNK=  1*
     Figure 1.35   Decision-tree  relating  iron at station 105 to meteorological  variables,
-------
01
                        Figure 1.36   Decision-tree relating iron at station 124 to meteorological variables.
-------
                           APPENDIX J

             DECISION-TREES RELATING IP/TSP RATIO TO
            ELEMENTAL CONCENTRATIONS AND METEOROLOGY
                            CONTENTS

Figure                                                             Page

 J.I   Decision-tree analysis of IP/TSP ratio at site 103
       versus elemental  concentrations	    J-l

 J.2   Decision-tree analysis of IP/TSP ratio at site 105
       versus elemental  concentrations	    J-2

 J.3   Decision-tree analysis of IP/TSP ratio at site 124
       versus elemental  concentrations	    J-3

 J.4   Decision-tree analysis of IP/TSP ratio at site 103
       versus meteorological  parameters 	    J-4

 J.5   Decision-tree analysis of IP/TSP ratio at site 105
       versus meteorological  parameters 	    J-5

 J.6   Decision-tree analysis of IP/TSP ratio at site 124
       versus meteorological  parameters 	    J-6
-------
                                    <= 2582.10
> 2582.10
N=
K=
s-
\JM=
39
0.54
0.20
0.50




N=
n=
s-
WM=
39
0.71
0.28
0.68
Figure J.I   Decision-tree analysis of IP/TSP ratio at  site  103  versus  elemental  concentrations.
-------
                                                             84
                                                           0.H3
                                                           0.20
                                                           0.50
                                              <= 2352.40
> 2350.40
un=
42
0.33
0.16
0.38

N=
n=
s=
WM=
42
0.60
0.19
0.60
                                                             SULFUR
                                                      <= 3907.70
       > 3907.70
N=
M-
S=
UM=
22
0.53
0.18
0.51

N= 20
M- 0.67
Q— W t Q
                                                      *RflNK=  4*
I
ro
                                                             <= 5453.70
              > 5453.70
II
it ii n E:
Z5TC03:
10
0.58
0.18
0.57

wri=
10
0.76
0.16
0.75
                                                             *RflNK=  3*
                                                                     - 6960.70
                       6960.70
N=
M=
3=
WM=
5
0.64
0.11
0.62

N=
M-
S=
WM-
5
0.88
0.10
0.87
                                                                        =  2*
                    *RflNK=  1*
      Figure  J.2   Decision-tree analysis of  IP/TSP ratio at site 105  versus  elemental concentrations.
-------
C-i

CO
                                                    N=
                                                     LERD
                      53
                    0.81
                    0.31
                    0.52
N=
M=

28
G.55
G.29
                                              CHLCIUH
N-
M=

\;T1=
25
0.67
0.32
0.61
<=  821.40
821.
                               <=  441.10
N=
f-l=

\;'1=
7
G . 66
0 . 23
0.55
N= 8
i1= 8.40
S= 0.30
\/i-]= 0.28
N= 15
2.52
! S= 0.31
i_j.r= 3.38

[r
S=
13
G.53
0.2S
0.54
     Figure  J.3    Decision-tree analysis of IP/TSP ratio  at  site 124 versus elemental concentrations,
-------
                                              N=
                                              M=
                                              S=
  78
0.63
0.26
0.60
                                               ilflX TEMP
                                            18.S3
      18.S3
N=
n=

wn=
37
3.52
G.13
G.~3




N=
n=
S-
wn=
ill
0.72
£]. 28
0.69
                                                     *Rfii\K=  I*
Figure  J.4  Decision-tree analysis  of IP/TSP ratio at site 103 versus  meteorological  parameters
-------
i
tn
M=
M=
g=
\;'M=
84
0.43
0.20
0.50
                                                 MIN TEMP
                                               8.30
N-
Il=
g=
j/n=
44
0.42
0.16
0.40




N=
r\=
s-
Wi1=
4Z
0.58
0.22
0.59
                                                              i*
  Figure J.5   Decision-tree analysis of IP/TSP ratio at site  105  versus  meteorological  parameters,
-------
en
V/M-
53
0.81
0.31
0.52
                                               68.60
       68.60
N=
n=
s=
V,'M=
29
0.49
0.23
0.44



N-
n=
s-
Wh=
24
0.76
0.33
0.67
                                                 <=
                                                       0.G0
                                                      TEMP
                                          <=
                                                7.80
        7.83
                                        -7.10
-7.10
N=

S=
un=
3
1.22
0.21
1. 19




N=
i"H
g=
V.'M=
4
0.G2
0.25
M r" i"1
W . DO
p, i 	
[•] =
S=
\/M=
12
0.S8
M.38
3.54




N=
M-
S=

12
0.83
0 2b
0.80
n=
s=
Ui1=
7
0.87
0.39
0.74

n
« n n 2:
Z2ZCQ3:
5
0.41
0.17
0.34
   Figure  J.6  Decision-tree analysis  of IP/JSP ratio at site 124 versus meteorological  parameters,
-------
(l'l<-a\f re
                                   TECHNICAL REPORT DATA
                                         on\ on the rrvi-r\c hfforr f
 1 REPORT NO
 __E^A-_450_/4-_8(J-0(J6b
 4. TITLE ANDSUBTITLE
  Analysis of  the  St.  Louis RAMS Ambient Particulate
  Data, Volume  II:   Technical Appendices
                                3 RLCIPIF NT'S ACCESSION NO
                                5 REPORT DATE
                                  February 1980	
                                6. PERFORMING ORGANIZATION CODE
 7 AUTHOR(S)


  John Trijonis  etal.
                               8. PERFORMING ORGANIZATION REPORT NO
 9. PERFORMING ORGANIZATION NAME AND ADDRESS
  Technology  Service Corp.
  2811 Wilshire  Boulevard
  Santa Monica,  California   90403
                                10 PROGRAM ELEMENT NO.
                                11. CONTRACT/GRANT NO
 12. SPONSORING AGENCY NAME AND ADDRESS
  US Environmental  Protection Agency
  Research Triangle Park,  NC  27711
                                13. TYPE OF REPORT AND PERIOD COVERED
                                14. SPONSORING AGENCY CODE
 15 SUPPLEMENTARY NOTES
  Project Officer:   Thompson G. Pace
 16. ABSTRACT
             In  this  report,  a variety of data  analysis methods are used  to  study the
  1976 particulate  data from the Regional Air Monitoring System (RAMS) in St.  Louis.
  The aerosol data, collected at ten sites,  include hi-vol measurements of  total sus-
  pended particulate  mass (TSP), as well as  dichotomous sampler measurements of  inhalabl
  particulate mass  (IP).   IP is subdivided into fine particles (less than 2.4  vim in
  diameter) and  coarse  particles (between 2.4 and  20 ym in diameter).  This  study also
  includes dichotomous  sampler data for eight trace elements (S, Si, Al,  Ca,  Pb, V, Ti,
  and Fe) and data  for  11 meteorological parameters.

        The analyses  characterize the spatial pattern of particulate matter  in and near
  St. Louis; background aerosol concentrations  and particulate transport;  temporal pat-
  terns of particulate  concentrations, the dependence of aerosol concentrations  on
  meteorology; and  the  relationship between  hi-vol data and dichotomous data.

        This document contains the technical bases for Volume I, Final Report
  (EPA-450/4-80-006a).
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
       particulate matter
       aerosol characterization
       Inhalable Particulate
                                              b.IDENTIFIERS/OPEN ENDED TERMS
                   hi-volume sampler
                   dichotomous sampler
                   RAPS
                   sources
                   spatial patterns
                   temporal patterns
                                                                            COSATl I'leltl/Group
                                              19. SECURITY CLASS (This Report)
                                             21. NO. OF PAGES
       Unlimited
                                              20. SECURITY CLASS (This page)
                                                                         22. PRICE
EPA Form 2220-1 (Rev. 4-77)   PREVIOUS EDITION is OBSOLETE
-------