NC0003719_Worksheets_20230605

Worksheet - RPA

0
20

1

0

80
1

0.35
1

0.5

3030004

791

791

791

4340

636.38

4676

,

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22

1
1/30/2019
13000
13000
4100.1378274885483
1
7/8/2021
88.4
88.4
123.1528600006757
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

2
2/14/2019
8800
8800
4612.7222222222226
2
7/16/2021
153
153
83.707068965517252
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

3
3/5/2019
7100
7100
0.88887594569119055
3
7/20/2021
34.200000000000003
34.200000000000003
1.471236079851368
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

4
4/3/2019
8810
8810
54
4
7/23/2021
55.7
55.7
58
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

5
5/8/2019
6030
6030
5
7/30/2021
115
115
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

6
6/18/2019
3790
3790
1.03
6
8/6/2021
334.4
334.4
1
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

7
7/23/2019
3430
3430
15300
7
8/13/2021
25.2
25.2
636
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

8
8/28/2019
2200
2200
15759
8
8/20/2021
55.6
55.6
636
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

9
9/19/2019
1970
1970
9
8/27/2021
64.599999999999994
64.599999999999994
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

10
10/16/2019
623
623
10
9/1/2021
58.9
58.9
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

11
11/6/2019
660
660
11
9/10/2021
70.2
70.2
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

12
12/4/2019
1000
1000
12
9/17/2021
63.9
63.9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

13
1/8/2020
1740
1740
13
10/1/2021
37.5
37.5
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

14
2/5/2020
4810
4810
14
10/8/2021
44.5
44.5
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

15
3/4/2020
1230
1230
15
10/15/2021
114
114
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

16
4/30/2020
3010
3010
16
10/21/2021
548
548
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

17
5/6/2020
1840
1840
17
10/29/2021
636
636
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

18
6/3/2020
369
369
18
11/19/2021
5.04
5.04
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

19
7/8/2020
1830
1830
19
11/22/2021
10.3
10.3
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

20
8/5/2020
1050
1050
20
11/5/2021
75.3
75.3
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

21
9/2/2020
2040
2040
21
11/12/2021
3.82
3.82
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

22
10/7/2020
2910
2910
22
11/19/2021
5.04
5.04
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

23
11/4/2020
2200
2200
23
11/22/2021
10.3
10.3
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

24
12/2/2020
1730
1730
24
12/3/2021
59.7
59.7
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

25
1/13/2021
1660
1660
25
12/10/2021
2.7
2.7
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

26
2/3/2021
1420
1420
26
12/17/2021
11.3
11.3
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

27
3/3/2021
1880
1880
27
12/21/2021
2
2
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

28
4/14/2021
652
652
28
1/7/2022
102
102
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

29
5/5/2021
634
634
29
1/14/2022
26.9
26.9
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

30
6/2/2021
397
397
30
1/20/2022
3.06
3.06
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

31
7/7/2021
4472
4472
31
1/28/2022
25.2
25.2
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

32
8/3/2021
1138
1138
32
2/4/2022
74.7
74.7
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

33
8/10/2021
3111
3111
33
2/11/2022
107
107
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

34
9/1/2021
858
858
34
2/18/2022
34.6
34.6
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

35
10/6/2021
2830
2830
35
2/25/2022
133
133
35
35
35
35
35
35
35
35
35
35
35
35
35
35
35
35
35
35
35
35
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

36
11/3/2021
7850
7850
36
3/4/2022
25
25
36
36
36
36
36
36
36
36
36
36
36
36
36
36
36
36
36
36
36
36
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

37
12/1/2021
10900
10900
37
3/11/2022
136
136
37
37
37
37
37
37
37
37
37
37
37
37
37
37
37
37
37
37
37
37
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

38
1/5/2022
12200
12200
38
3/18/2022
44.3
44.3
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

39
2/2/2022
15300
15300
39
3/25/2022
15.1
15.1
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

40
3/2/2022
13600
13600
40
4/1/2022
46.3
46.3
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

41
4/6/2022
13800
13800
41
4/8/2022
16.75
16.75
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

42
5/4/2022
11700
11700
42
4/12/2022
28.7
28.7
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

43
6/1/2022
2480
2480
43
4/22/2022
82.8
82.8
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

44
7/6/2022
713
713
44
4/29/2022
11.3
11.3
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

45
8/3/2022
4610
4610
45
5/6/2022
63.2
63.2
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

46
8/16/2022
4320
4320
46
5/13/2022
22.8
22.8
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

47
9/7/2022
7930
7930
47
5/20/2022
31.9
31.9
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

48
10/12/2022
4390
4390
48
5/27/2022
135
135
48
48
48
48
48
48
48
48
48
48
48
48
48
48
48
48
48
48
48
48
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

49
11/22/2022
6860
6860
49
6/3/2022
21.9
21.9
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

50
12/7/2022
6610
6610
50
6/10/2022
48.5
48.5
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

51
1/4/2023
10900
10900
51
6/17/2022
20
20
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

52
2/1/2023
4340
4340
52
6/24/2022
144
144
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

53
3/1/2023
5600
5600
53
7/8/2022
149
149
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

54
4/5/2023
3760
3760
54
7/22/2022
449
449
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

55
55
8/5/2022
66.8
66.8
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

56
56
8/12/2022
33.799999999999997
33.799999999999997
56
56
56
56
56
56
56
56
56
56
56
56
56
56
56
56
56
56
56
56
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

57
57
9/16/2022
45.9
45.9
57
57
57
57
57
57
57
57
57
57
57
57
57
57
57
57
57
57
57
57
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

58
58
9/23/2022
25.9
25.9
58
58
58
58
58
58
58
58
58
58
58
58
58
58
58
58
58
58
58
58
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

54
54
58
58
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

0.88887594569119055
1.471236079851368

0.8
1.4

54
58

9
15

1.0265772370196526
1.0034241092096507

1.029142850002934
1.0035687780292928

1.0288574498213199
1.0035271656055309

1.03
1

Arial,Bold" 8REASONABLE POTENTIAL ANALYSIS - - ,

0.5
0.5

636.38
0.12163445315504078

791
9.7881342553124306E-2

791
9.7881342553124306E-2

791
9.7881342553124306E-2

4340
4676
1.7853954650955187E-2
1.657124834955712E-2

1

80
1
54
54
15759

448080

2

0.35
1
54
54
15759

2112.0919354838711

3

0
0

4

0
0

5

0
0

6

0
0

7

0
0

8

0
0

9

0
0

10

0
0

11

0
0

12

0
0

13

0
0

14

0
0

15

0
0

16

0
0

17

0
0

18

0
0

19

0
0

20

0
0

21

0
0

22

0
0

Arial,Bold" 0REASONABLE POTENTIAL ANALYSIS Page of ,

,

1

2
10
5

3
9
9
5

4
0

5

6
10
5

7
9
4.5
0

8

9

10

11

12

13

,

0.95

0.95

0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1000000000000001
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
2.1
2.2000000000000002
2.2999999999999998
2.4
2.5
2.6
2.7
2.8
2.9
3
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
4
4.0999999999999996
4.2
4.3
4.4000000000000004
4.5
4.5999999999999996
4.7
4.8
4.9000000000000004
5
5.0999999999999996
5.2
5.3
5.4
5.5
5.6
5.7
5.8
5.9
6
6.1

1
1
1.388400997733763
1.9184179525863208
2.6266984330801288
3.5515003516286621
4.7303268635960807
6.1977451171828228
7.9837491295123098
10.112820236019875
12.603647258647346
15.469354589761483
18.718053656169833
22.353554076249154
26.376114063054608
30.783154031216604
35.569893028432325
40.729892275436313
46.255505208121519
52.138241536233295
58.369056386185548
64.93857643324597
71.837274310027496
79.055601291153991
86.584086754884339
94.413411455076499
102.53446031598482
110.93835932942842
119.61650019124889
128.560555545413
137.76248708610231
147.21454827594397
156.90928304923028
166.83952156251746
176.99837381459201
187.3792217696697
197.97571047075508
208.78173851547723
219.79144817744074
230.99921538665359
242.39963972861628
253.9875345797642
265.75791746452359
277.70600069417543
289.82718232844303
302.11703748590963
314.5713100181103
327.18590455358833
339.9568789118199
352.88043688216464
365.95292135955071
379.17080782618308
392.53069816685991
406.02931480445437
419.66349514146634
433.43018629329748
447.32644009890322
461.34940839463735
475.49633853745451
489.76456916404481
504.15152617299009
518.65471891754169
533.27173659722007
1

2
1
1.2711146905049311
1.6100674697271373
2.0258510292217733
2.5256637572735507
3.1144074156501782
3.7945305300724566
4.5661831387983813
5.4275808324597659
6.3754619643255932
7.405545184461368
8.5129308173867049
9.6924221007219415
10.93876429708264
12.246811412711242
13.611634632896882
15.028586698224398
16.493334568241472
18.001870223370229
19.55050704360713
21.135867161295796
22.754863581045029
24.404679657200106
26.082747646904544
27.786727439665974
29.51448613680023
31.264078863610234
33.033731003697838
34.821821919011661
36.626870139956637
38.447519962172386
40.282529359969779
42.13075911366812
43.991163044247187
45.862779250451958
47.744722248511181
49.636175921449379
51.536387192616921
53.444660345901163
55.360351922740598
57.282866133309227
59.211650725956424
61.146193265125042
63.08601777352191
65.03068169929422
66.979773173413847
68.932908526422523
70.889730037195676
72.849903889482391
74.8131183147174
76.779081902017595
78.747522058408592
80.71818360420869
82.690827490155385
84.665229624326514
86.641179798201151
88.618480702347554
90.596947023236893
92.5764046135764
94.556689729348506
96.537648327441872
98.519135418390789
2

3
1
1.2184765571307379
1.4803959236461235
1.788764713420792
2.145050565827721
2.549143761958347
2.9995330437419034
3.4936178658368013
4.0280669969906526
4.5991531330505673
5.2030245822118122
5.8359024884246926
6.4942093302864068
7.1746421887718865
7.8742057052975234
8.5902178639732796
9.3202988393116684
10.06235028219209
10.814530036014753
11.575225481561418
12.343027441289179
13.116705719160338
13.895186799015242
14.677533880870865
15.462929231185296
16.250658710886594
17.040098290163098
17.830702339252937
18.621993485196469
19.413553836468925
20.205017394843896
20.996063493281202
21.786411118073353
22.575813991826344
23.364056310559551
24.150949043090819
24.936326713924984
25.720044602193248
26.50197629895176
27.282011573516122
28.060054506657906
28.836021854584128
29.609841612809067
30.381451753443027
31.150799113178135
31.917838412448212
32.682531388961458
33.44484603112496
34.204755898860277
34.962239520999951
35.717279859903229
36.46986383516743
37.219981899377146
37.967627659746015
38.712797540293892
39.455490479880616
40.195707662003336
40.93345227277117
41.668729283910587
42.401545258035888
43.131908173749586
43.859827268427701
3

4
1
1.1863305480663198
1.403863746293363
1.6534139247853803
1.9346058223632958
2.2459872214933143
2.5852709561284608
2.9496311085685396
3.3359864830888708
3.7412304822882132
4.1623933362996555
4.5967410412120788
5.0418240825363876
5.4954907723133219
5.9558781356014521
6.4213901553659127
6.8906701324160631
7.3625714578813755
7.8361293170946134
8.3105346495471171
8.7851109350009864
9.2592939266742338
9.7326142038031946
10.204682293021309
10.675176060507983
11.14383007225368
11.610426637812642
12.074788281388392
12.536771415970859
12.996261027650799
13.453166206231426
13.907416384017473
14.35895816699956
14.807752661712728
15.253773217137878
15.69700351449764
16.137435949040793
16.575070257254925
17.009912350701146
17.441973324091933
17.871268610560453
18.297817261486056
18.72164133190465
19.142765355576397
19.561215896314074
19.977021164283926
20.390210687749299
20.800815032197544
21.208865560021223
21.614394224956612
22.017433396350278
22.418015709054171
22.816173935366439
23.211940875954781
23.605349267140518
23.996431702295293
24.385220565419459
24.771747975242143
25.156045738413251
25.538145310554572
25.918077764105465
26.295873762043499
4

5
1
1.1638376223078939
1.35151239692748
1.5628458293753913
1.7967403446344961
2.0513457258914021
2.3243027945588777
2.6129992079408582
2.9147886861021597
3.2271505468534918
3.547787878368545
3.8746748672174989
4.2060677593864186
4.540492931808588
4.8767225247154649
5.2137448190821285
5.5507338312079
5.8870206314716285
6.222067596244254
6.5554460074883654
6.8868169651124784
7.2159153482381138
7.5425364655996416
7.8665250148056991
8.1877659892658894
8.5061772088398637
8.8217031935454742
9.134310142474579
9.4439818192631328
9.7507161798042379
10.054522607167977
10.355419643207858
10.653433126622209
10.948594663897033
11.24094037316347
11.530509852080977
11.817345329859434
12.101490970843011
12.382992303012811
12.661895749585829
12.938248245806797
13.212096926219889
13.483488870307786
13.752470896509612
14.019089396366198
14.283390201964851
14.545418481024607
14.805218654924426
15.062834335769276
15.31830827924334
15.571682350540886
15.822997501113926
16.072293754348394
16.319610198590109
16.564984986199839
16.808455337532315
17.050057548913525
17.28982700384136
17.527798186760709
17.764004698869918
17.998479275504152
18.231253804716157
5

6
1
1.1468313902653384
1.3125866775205839
1.4965890703276736
1.6974437183544402
1.9132209679585921
2.1416836263431502
2.3805033741203872
2.6274309750079765
2.8804082302924567
3.137626545006027
3.397544944779209
3.6588815659361598
3.9205903162869267
4.1818310526502511
4.4419385581748632
4.7003932889655795
4.956795306786538
5.2108418647444346
5.4623085829737956
5.7110338897865622
5.9569063018232731
6.1998541031022629
6.4398370135525376
6.6768394870178094
6.9108653327606593
7.1419334060341999
7.3700741591620647
7.595326883792394
7.8177375076979798
8.0373568363227754
8.2542391510436417
8.468441093653345
8.6800207806342513
8.8890371020380403
9.0955491687665297
9.2996158792146577
9.5012955819566987
9.7006458157251299
9.8977231115845221
10.092582845127286
10.285279128863165
10.475864736857631
10.664391055189727
10.850908053020843
11.03546427005198
11.218106816944104
11.398881385922129
11.577832269306953
11.755002384145611
11.930433301456079
12.104165278885185
12.276237295808508
12.446687090088499
12.615551195860791
12.782864981844041
12.948662689770877
13.112977472621621
13.275841432410813
13.437285657332614
13.597340258116695
13.756034403483675
6

7
1
1.1333128961329395
1.2820468884599225
1.4452643355349699
1.6214605553119896
1.8087481862660326
2.0050635823609149
2.208349366424434
2.4166875589023444
2.6283783807432357
2.8419731451993822
3.0562747135539858
3.270318492857152
3.483343995355153
3.69476363386734
3.9041326573760933
4.1111221786875696
4.3154960173427774
4.517091383049272
4.715803074724243
4.911570729185164
5.1043686283651919
5.2941976067696039
5.4810786580510573
5.665047902743539
5.8461526392188592
6.0244482528929577
6.1999958034896911
6.37286014703938
6.5431084791270928
6.7108092097797432
6.8760310993412803
7.0388425996704562
7.1993113568046354
7.3575038405242612
7.5134850735582983
7.6673184389158404
7.8190655483494922
7.9687861585161448
8.1165381242079722
8.2623773802428708
8.406357945356012
8.5485319428217164
8.6889496336350938
8.8276594589563402
8.9647080892150122
9.1001404778239472
9.2339999178927137
9.3663281006810042
9.4971651748120536
9.6265498054891356
9.7545192331356656
9.8811093310214009
10.006354661549377
10.130288530968073
10.252943042344061
10.374349146686324
10.494536692157604
10.613534471342527
10.731370266569035
10.848070893300177
10.963662241629065
7

8
1
1.1221834441792538
1.2571720417397096
1.403892979170472
1.5608220057661784
1.7261619028123971
1.898028040064305
2.0746026982459882
2.2542398290086405
2.4355200969862376
2.6172665260901438
2.7985340779168415
2.9785849534231823
3.1568581766657124
3.332938818677369
3.5065297494293977
3.6774271606333064
3.8455001263169111
4.0106739553536928
4.17291686533932
4.3322294459789701
4.4886364028990524
4.6421801324677645
4.7929157489239937
4.9409072538292955
5.086224598852592
5.2289414443845788
5.3691334586253063
5.5068770356149965
5.6422483374771932
5.7753225871938945
5.9061735546757763
6.0348731916903677
6.1614913811547218
6.2860957740165082
6.4087516929357111
6.529522086627054
6.6484675223333154
6.7656462067059122
6.8811140275527434
6.9949246106140288
7.1071293868528951
7.2177776667819122
7.3269167191547826
7.4345918519830345
7.540846494330733
7.6457222777248157
7.7492591163192257
7.8514952851849342
7.9524674962801072
8.052210971795871
8.1507595146821785
8.2481455762423561
8.344400320748754
8.4395536870805685
8.5336344474210986
8.6266702630783296
8.7186877375119334
8.809712466663072
8.8997690866921673
8.988881319234924
9.077072014289632
8

9
1
1.1127804729937327
1.2363444869647875
1.3695550835358321
1.5109139927213577
1.6587311431880762
1.8112908902396543
1.9669829259354554
2.1243850125985966
2.2823005896391373
2.4397625362081592
2.5960159016104458
2.7504902316606268
2.9027688082168437
3.0525591183517298
3.1996666786364503
3.3439729515360921
3.4854173136166433
3.6239826609443413
3.75968410177637
3.8925601795410198
4.0226661222806461
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4.3970659218880561
4.5168212051356784
4.6341905203254434
4.7492559278733566
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5.1880658653097118
5.2927826451562856
5.3956468656963468
5.4967245317430349
5.5960788587562353
5.6937703199984018
5.7898567161285319
5.8843932601790234
5.9774326725744302
6.069025282167738
6.1592191302810546
6.2480600755140685
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6.4218563996819755
6.5068935065037792
6.5907413607319523
6.673436414257786
6.7550135159373728
6.83550599511429
6.914945740991449
6.993363277901512
7.070787836570454
7.1472474215001869
7.2227688746176328
7.2973779353509984
7.3710992973014733
7.4439566616816064
7.5159727876914175
7.5871695400004953
7.6575679334999123
7.7271881754822003
9

10
1
1.1046764909438496
1.2185327471081142
1.3404096329234578
1.4688580983627315
1.6022985498197178
1.7391696568600037
1.8780397885802698
2.0176724008714637
2.1570506074984741
2.2953726114373998
2.4320301265943076
2.5665793391412213
2.6987106771070764
2.8282208728702392
2.9549888628649548
3.0789558942231419
3.2001095881508435
3.3184714406564924
3.4340871709940619
3.5470193583500405
3.6573418798587696
3.7651357466424149
3.870486013988454
3.9734795107560781
4.0742031900895244
4.1727429491706003
4.2691828016005804
4.3636043137995824
4.4560862381747164
4.5467042921324134
4.6355310444380118
4.7226358798652166
4.8080850202384449
4.8919415853988433
4.9742656817378927
5.0551145090590595
5.1345424788892258
5.212601339150245
5.2893403014552254
5.3648061683187267
5.4390434583440266
5.512094528034206
5.5839996893124706
5.6547973221654741
5.7245239820678933
5.7932145020269639
5.8609020892177304
5.9276184162747496
5.9933937073731096
6.0582568192775845
6.122235317568725
6.185355548272927
6.2476427051326775
6.3091208927560016
6.3698131858822569
6.4297416849959497
6.4889275685127412
6.5473911417525796
6.605151882904722
6.6622284861787406
6.7186389023248019
10

11
1
1.0975810834536988
1.2030430877972527
1.3152302214618519
1.4327541126327428
1.5541427980045761
1.6779740098402502
1.8029703211906771
1.9280507004586387
2.0523451929463836
2.1751844530575997
2.2960755132013859
2.414672361030461
2.5307467074442114
2.6441617593397222
2.754850092504876
2.8627957241256752
2.9680199904650468
3.0705706469982408
3.1705135859028952
3.2679266218141492
3.3628948814807935
3.4555074207699725
3.5458547717607898
3.6340271894087288
3.7201134211726323
3.8041998654267157
3.8863700173145097
3.9667041258250304
4.0452790049503147
4.122167956199223
4.1974407705992487
4.2711637864769303
4.343399985430624
4.4142091135004211
4.4836478179799482
4.5517697928903083
4.6186259280631647
4.6842644582194843
4.7487311095040283
4.812069241734263
4.874319985214405
4.9355223714017926
4.9957134570327568
5.0549284415471849
5.1132007778174771
5.17056227630456
5.2270432028440306
5.2826723703183847
5.3374772245039681
5.3914839243991457
5.4447174173470465
5.4972015092656026
5.5489589302912039
5.600011396132305
5.6503796654169429
5.7000835933039706
5.7491421816131494
5.797573625714092
5.8453953583990588
5.892624090949842
5.9392758515949362
11

12
1
1.091288770356138
1.1893889132418258
1.2931637402203275
1.4012905506435089
1.5123994654518977
1.625192946631737
1.7385272252633108
1.851452706548224
1.9632210659315639
2.0732705926365456
2.1812004142818981
2.2867412978116755
2.3897276576359103
2.4900730393622204
2.5877498239651051
2.6827730512670596
2.7751878695146508
2.865059992496291
2.9524685588070412
3.0375008617875685
3.1202485107308702
3.2008046732057616
3.2792621260786206
3.3557119066865364
3.4302424062824461
3.5029387871694646
3.5738826349676267
3.6431517801702822
3.710820240213736
3.7769582460481197
3.8416323267145271
3.9049054325138397
3.9668370826118777
4.0274835268267335
4.0868979142340711
4.1451304633636257
4.2022286303378777
4.258237272465176
4.3131988056511927
4.3671533546139596
4.420138895337848
4.4721913895247782
4.5233449110296906
4.5736317644260929
4.6230825959549042
4.6717264971792964
4.7195911017101206
4.7667026753883475
4.8130862003184491
4.8587654531440698
4.9037630779476578
4.9481006541415864
4.9917987597009494
5.0348770300693912
5.0773542130495706
5.1192482199699514
5.1605761734000586
5.2013544516673003
5.2415987304103338
5.2813240213865882
5.3205447087354312
12

13
1
1.0856493005907124
1.177217127710428
1.2735956431833646
1.3735291794521369
1.4757433747098427
1.5790524868454368
1.6824291978840016
1.7850359512083005
1.8862261842261618
1.9855267128463285
2.082611168811713
2.177271402925796
2.2693908449167921
2.3589216409049887
2.4458660372474821
2.5302617600735862
2.612170830683477
2.691671181010852
2.7688504730265766
2.8438016121575087
2.9166195409034077
2.9873989877510856
3.0562329218110427
3.1232115243091405
3.1884215355030685
3.2519458719236964
3.3138634362942443
3.3742490630363422
3.433173557568058
3.4907037989311407
3.546902883654119
3.6018302949243459
3.655542085676228
3.708091067530241
3.7595269999536645
3.8098967757928635
3.8592446006213073

3.907612164284533
3.9550388036973549
4.0015616564291001
4.0472158049509774
4.0920344116536507
4.1360488449010102
4.179288796488402
4.2217823909358687
4.2635562870802941
4.3046357724433726
4.3450448508509734
4.3848063237683492
4.4239418657981737
4.4624720947666958
4.5004166367995584
4.5377941867637137
4.5746225644268614
4.6109187666610874
4.6466990159935131
4.6819788057839578
4.7167729422881477
4.7510955838447693
4.7849602774057765
4.8183799926119368
13

14
1
1.0805497780313689
1.1662642238693903
1.2560702869105569
1.3487786395417505
1.4432036714972012
1.5382599709554601
1.6330222209721874
1.7267491072604246
1.8188799968276852
1.9090152634192596
1.996889462026616
2.0823435682772584
2.165299725626594
2.245739951887129
2.3236890550665557
2.3992013963220709
2.4723508967408057
2.5432236476417174
2.611912543558085
2.6785134514633642
2.7431225276678175
2.8058343812314837
2.8667408551765985
2.9259302542280281
2.9834868921220679
3.039490865087167
3.0940179832104624
3.1471398100316801
3.1989237744424588
3.2494333290551394
3.2987281365864778
3.3468642711886982
3.3938944255815962
3.4398681176855725
3.4848318925143613
3.5288295165691013
3.5719021630373469
3.6140885868552082
3.6554252892213301
3.695946671519013
3.7356851788519609
3.7746714335628901
3.8129343592065648
3.8505012955071329
3.8873981048571236
3.9236492709212243
3.9592779898990464
3.9943062549823782
4.0287549345175497
4.0626438443550619
4.095991814838305
4.1288167528525586
4.1611356993249187
4.1929648825365158
4.2243197675802389
4.2552151022707152
4.2856649597884129
4.3156827783166642
4.3452813979089928
4.3744730948042907
4.4032696133893294
14

15
1
1.0759034127736975
1.1563288675517711
1.2402415710818671
1.3265166921790381
1.4140508063153079
1.5018487430398315
1.5890749915338107
1.6750714849606809
1.7593507357215452
1.8415747704865848
1.9215284086740909
1.999092478473862
2.0742199424086141
2.146916077155081
2.2172227834416804
2.2852065811221172
2.3509496595629096
2.4145433473344693
2.4760834393556275
2.5356669192713079
2.5933897128634649
2.6493451934658596
2.7036232296487546
2.7563096196403385
2.8074857982893247
2.8572287333748392
2.9056109510539367
2.952700647140686
2.9985618532704099
3.0432546360001544
3.0868353134228821
3.1293566785912756
3.1708682224466935
3.2114163513886571
3.2510445963627221
3.2897938115810148
3.3277023618596631
3.3648062981621809
3.4011395213514777
3.4367339344293928
3.4716195837203534
3.5058247895635546
3.5393762671364479
3.5722992380562979
3.6046175334069765
3.6363536888227501
3.6675290322352541
3.6981637648581023
3.7282770359484467
3.7578870118483541
3.787010939772308
3.8156652067715919
3.8438653942720902
3.8716263285497843
3.8989621274779291
3.9258862438516862
3.9524115055699229
3.9785501529298823
4.0043138732683285
4.0297138331625622
4.0547607083862669
15

16
1
1.0716421714593474
1.147254112634327
1.2258411335264769
1.3063404371065523
1.3877246015572053
1.4690798401104719
1.549650095574495
1.6288497542586204
1.7062540279622893
1.7815770013477763
1.8546452720723479
1.9253722226733743
1.993735489679566
2.0597585186412641
2.1234961419724674
2.1850236740640803
2.2444288796931522
2.3018061901041711
2.3572526260953368
2.4108649900918548
2.4627379862384431
2.5129630099901563
2.5616274147256015
2.6088141139461878
2.6546014161596596
2.6990630181865769
2.742268103684331
2.7842815090436317
2.8251639299528688
2.8649721499685858
2.9037592782133883
2.9415749874642056
2.9784657468469868
3.0144750454483518
3.0496436046301536
3.0840095778628571
3.1176087376037511
3.1504746492271507
3.1826388323314498
3.214130909949739
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3.2752085738594667
3.3048451102715704
3.333911666190299
3.3624302443968173
3.3904216310909527
3.4179054799222266
3.4449003893691956
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3.5231230969599969
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3.5731264599547741
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3.6215456419226868
3.6451931106907067
3.6684816638893794
3.6914224865609948
3.7140262517797185
3.7363031508560121
3.7582629214046599
16

17
1
1.0677118197943456
1.1389154817850857
1.2126571651784819
1.2879333432865017
1.363786868092288
1.4393775558882509
1.514019960497007
1.5871918744479685
1.658522582288227
1.7277704020175464
1.7947968677372659
1.8595420960273212
1.9220035492704237
1.9822188701567305
2.0402526134335188
2.0961863258111548
2.1501113252005268
2.2021235682449913
2.2523200878445047
2.3007965863895783
2.3476458657102519
2.3929568541781228
2.4368140541781136
2.4792972811654073
2.5204816014312512
2.5604374021691849
2.5992305467398764
2.6369225820087432
2.6735709746883081
2.709229360819446
2.7439477976595028
2.777773010886869
2.810748632600407
2.8429154273913717
2.8743115050142594
2.9049725190388864
2.9349318514423861
2.9642207834781251
2.9928686533972177
3.0209030017392742
3.0483497049822534
3.0752330983681251
3.1015760887169805
3.1274002580177487
3.1527259585467675
3.1775724002211705
3.2019577308463281
3.2258991098677203
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3.2725141105757465
3.2952176931058688
3.3175373561154808
3.3394862330144721
3.3610768033397393
3.3823209343671414
3.4032299195777584
3.4238145142465326
3.444084968396826
3.4640510573421794
3.4837221100162918
3.5031070352740423
17

18
1
1.0640684858258169
1.131212751947489
1.2005198909408614
1.2710427717344681
1.3418892590800811
1.4122859242385195
1.4816103330150456
1.5493960391283419
1.6153192073414819
1.6791759409838527
1.7408571331210132
1.8003249389865807
1.8575927766351585
1.9127093499012464
1.9657464315171551
2.0167898271095188
2.0659328733249249
2.1132718764957974
2.1589029964119479
2.2029201839155239
2.2454138740075194
2.2864702124092928
2.3261706530778619
2.3645918092710914
2.4018054742146275
2.4378787518927667
2.4728742562033568
2.5068503494484284
2.539861400225333
2.5719580472425378
2.6031874601485439
2.6335935916685767
2.6632174175800976
2.6920971626039361
2.7202685113432405
2.7477648041108984
2.7746172179500119
2.8008549334444797
2.8265052880899821
2.85159391708665
2.8761448824498492
2.90018079133332
2.9237229044327497
2.9467912352966326
2.9694046413216433
2.991580907155948
3.0133368211789251
3.0346882456716591
3.055650181240511
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3.0964616300299186
3.1163373453875338
3.1358760722995678
3.1550893016439718
3.173987954181928
3.1925824167792576
3.2108825758842374
3.2288978484975881
3.2466372108484292
3.2641092249699835
3.2813220633509959
18

19
1
1.0606762200810236
1.1240641538588212
1.1892913696537364
1.2554642606440107
1.3217508959395492
1.3874385576880444
1.4519612549384728
1.5149017933224531
1.5759771691839159
1.6350159078346347
1.69193366961006
1.7467108218739056
1.7993736168767631
1.849979317941332
1.8986049419721749
1.9453390193334446
1.9902757316111139
2.0335108530208363
2.0751390229409186
2.115251980400608
2.1539374816244101
2.1912786947348404
2.2273539221278402
2.2622365433786018
2.2959951027051133
2.3286934876504515
2.3603911619176734
2.3911434269015754
2.4210016946925594
2.4500137611284885
2.4782240715332429
2.5056739746061862
2.5324019618744167
2.5584438914467684
2.5838331956983067
2.608601073097101
2.6327766647540298
2.6563872164970235
2.679458227389965
2.7020135856664003
2.724075693052284
2.7456655784264572
2.7668030017238059
2.7875065489316837
2.8077937189708146
2.8276810031908131
2.847183958150302
2.8663172722936583
2.8850948270816814
2.9035297530824269
2.9216344814812047
2.9394207914254791
2.9568998535807789
2.974082270237806
2.990978112278329
3.0075969532779308
3.0239479009970696
3.0400396264879053
3.0558803910227144
3.0714780710301812
3.0868401812084114
19

20
1
1.0575052268555922
1.1174021879759231
1.1788581711243296
1.2410302931488335
1.3031424427820224
1.3645372616170057
1.4246994921144833
1.4832556111318562
1.5399583202317686
1.5946640681030018
1.6473094689546128
1.6978899556667684
1.7464420741521678
1.7930296336849791
1.8377333263470301
1.8806432052878026
1.9218533934706761
1.9614584692256469
1.9995510787422386
2.0362204274804623
2.0715513897904847
2.1056240457642805
2.138513507712974
2.1702899384020302
2.201018692216993
2.2307605313762253
2.2595718842635146
2.287505123551155
2.3146088492425392
2.3409281669778244
2.3665049555660254
2.3913781201982283
2.4155838294926841
2.4391557356602678
2.4621251778261843
2.4845213690198573
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2.5277012343100465
2.5485341752952246
2.5688926733035609
2.588797606928261
2.6082685595795025
2.6273239188785751
2.6459809673705661
2.6642559653514759
2.682164226539272
2.6997201872544063
2.716937469714813
2.7338289399939328
2.7504067611382186
2.7666824418927298
2.7826668814399564
2.7983704105174101
2.8138028292437971
2.8289734419513253
2.8438910892926055
2.8585641778644382
2.8730007075672805
2.8872082968980592
2.9011942063549618
2.9149653601158731
20

21
1
1.0545305581167939
1.1111705489561277
1.169126016858882
1.2276021109096542
1.2858745440217658
1.3433365631601777
1.3995186548751657
1.454086152262801
1.5068230866581398
1.5576100283189878
1.6064013533682897
1.6532049518922005
1.6980655791435819
1.7410519570289364
1.782247196527486
1.8217419260211485
1.8596295112684265
1.8960028346072291
1.9309522057117976
1.96456407603529
1.9969203132587729
2.0280978585569422
2.0581686399348871
2.0871996521694731
2.1152531409472615
2.1423868481782122
2.1686542892195169
2.1941050424249138
2.2187850381990928
2.2427368394283049
2.2659999083854077
2.288610857404739
2.3106036820982148
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2.7496168722237035
2.7620095089455159
21

22
1
1.0517311330062327
1.1053218267164204
1.1600157903271688
1.2150636430694843
1.2697892804714184
1.3236323171549016
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2.5909235064812042
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2.6138482226006126
2.6250378912158232
22

23
1
1.0490889908191379
1.0998157619234743
1.1514605209468105
1.2033169333546925
1.2547537554179675
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2.5016875368299822
23

24
1
1.0465887142307888
1.0946179041157817
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1.1922786469773985
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1.2880541325087616
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2.3523051894578009
2.3619757367490068
2.3714841235048438
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2.3900354586565364
24

25
1
1.0442169785584385
1.0896985667559909
1.1357943488344626
1.1818773682468968
1.227397259398944
1.2719115069797784
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2.2716200135045335
2.2801306318059278
2.2885015067220196
25

26
1
1.0419621956206768
1.0850320043433819
1.1285918860306652
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2.1881445959314991
2.1957757320010227
26

27
1
1.0398142294946318
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1.1217587348363316
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1.2030824271594902
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27

28
1
1.0377641675502474
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2.0325426616910995
28

29
1
1.0358041344347604
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1.1090749491146328
1.1455243103171022
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1.2159835008177917
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1.9545002923014509
1.9603321935823532
29

30
1
1.0339271397565082
1.0684832519502161
1.1031707607030559
1.1375279797163922
1.1711655382351454
1.2037848358635603
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1.8881223507686697
1.8934653037802713
30

31
1
1.0321269524494818
1.0647929512527048
1.0975277043755143
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1.1615403981988757
1.1921798097788034
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1.8164121061031941
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1.8264717032284963
1.8313698844169839
31

32
1
1.0303979964395695
1.0612546370358549
1.0921259099624938
1.1226053000255218
1.1523549642483841
1.1811205162608247
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1.7735522782867743
32

33
1
1.0287352634510762
1.0578573622563809
1.0869476017336834
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33

34
1
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34

35
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35

36
1
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36

37
1
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37

38
1
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38

39
1
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39

40
1
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40

41
1
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41

42
1
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42

43
1
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43

44
1
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44

45
1
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46
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47
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48
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48

49
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50
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50

51
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51

52
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52

53
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53

54
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54

55
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55

56
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56

57
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57

58
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1.0039516397690642
1.0040646914750659
1.0041715145380798
1.0042726448349313
1.0043685621311875
1.0044596961402852
1.0045464321063864
1.0046291158574989
1.0047080583251966
1.0047835395553046
1.0048558122482738
1.0049251048739902
1.0049916244067845
1.0050555587246652
1.0051170787135462
1.0051763401133991
1.0052334851392117
1.0052886439057778
1.0053419356816933
1.0053934699946914
1.0054433476075089
1.0054916613809231
1.0055384970383541
1.0055839338444927
1.0056280452087079
1.0056708992225776
1.0057125591395981
1.0057530838040796
1.0057925280353044
1.0058309429722232
1.0058683763832896
1.0059048729454363
1.0059404744956943
1.0059752202585124
1.0060091470514592
1.0060422894716574
1.0060746800650184
1.0061063494800948
1.0061373266081635
1.0061676387109457
1.0061973115372267
1.0062263694294868
1.0062548354215215
1.0062827313279452
58

0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1000000000000001
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
2.1
2.2000000000000002
2.2999999999999998
2.4
2.5
2.6
2.7
2.8
2.9
3
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
4
4.0999999999999996
4.2
4.3
4.4000000000000004
4.5
4.5999999999999996
4.7
4.8
4.9000000000000004
5
5.0999999999999996
5.2
5.3
5.4
5.5
5.6
5.7
5.8
5.9
6
6.1

9/12/2013

n
BDL=1/2DL
Std Dev.
Mean
Stream Class
C.V.
Mult Factor =
Max. Pred Cw
Max. Value
Data
Cyanide
PQL
RECOMMENDED ACTION
PARAMETER
30Q2 (cfs)
Max Pred Cw
n =
Interpolate to find Mult. Factor
cv =
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
which truncates to
Pick upper & lower Mult. Factors and interpolate:
Round to 2 dec. places to get MF:
Date
Results
REASONABLE POTENTIAL RESULTS
Allowable Cw
No limit (Action Level parameter)
No limit
MaxPredCw << Acute
MaxPredCw < Acute
MaxPredCw > Chronic
MaxPredCw < Chronic
Monitoring not necessary in permit
MaxPredCw << Chronic
Hit(s)
# Det.
Monitor 1/month
Revise daily max. limit
C
Monitor 1/week
Continue to monitor at 2/month
Monitor 2/month
No limit - assuming no tox (Action Level parameter)
Units
ug/L
Facility Name
Acute:
Chronic:
MaxPredCw >> Chronic
MaxPredCw > Acute
MaxPredCw >> Acute
N/A
REMOVE?
MONITOR?
DAILY MAX LIMIT?
MO AVG LIMIT?
NO DATA
Daily max limit
Mo. avg. limit (keep wk. avg. if existing)
Sample recommendations:
LTMP
Y
N
Monitoring Frequencies
2B .0500
Parameter
Location
Class I
Class II
Class III
Class IV
Frequency
Effluent Limited
pH
E
2/Month
Daily
3/Week
Temp, C
BOD5
TSS
NH3-N
Fecal Col.
TN
TP
Water Quality Limited
D.O.
TRC
Conductivity
I, E
U, D
1/Week
1/Month
See notes below.
2/Week
3/Week*
Notes:
TN, TP Monitoring
All facilities >= 0.05 MGD will monitor TN and TP
Those < 0.05 MGD will monitor if discharging to NSW
For French Broad, Broad, Savannah, New Watauga, Little Tennessee, and Hiwassee:
-
>= 0.05 MGD
- monitor semi-annually
>= 1.0 MGD
- monitor quarterly
For all other river basins:
- monitor monthly
* Upstream and downstream monitoring in WQ-limited waters is to be conducted
3/Week during Jun, Jul, Aug, and Sep; and 1/Week during the rest of the year.</t
For the Neuse, Tar-Pamlico, and any other river basins classified as NSW, use limits

and monitoring requirements according to the basin's permitting strategy.</t><
7Q10s (cfs)
7Q10w (cfs)
QA (cfs)
Receiving Stream
Type
Chronic
Modifier
Acute
NPDES Permit
Outfall
Flow, Qw (MGD)
Name
Msg02
Msg03
Msg07
Msg04
Msg08
Msg05
Msg09
Msg06
Msg01
Msg10
Msg00
Fac_Name
IWC_30Q2
=rpa!$L$8
IWC_7Q10s
=rpa!$L$6
IWC_7Q10w
=rpa!$L$7
IWC_QA
=rpa!$L$9
NPDES
Stream_Class
WWTP_Grade
No chronic standard or criterion
No acute standard or 1/2 FAV
< No Data Entered >
Workbook Names:
Table 1. Project Information
Table 2. Parameters of Concern
=input!$B$10
=input!$B$11
=input!$B$12
=input!$B$13
=input!$B$14
=input!$B$5
=input!$B$6
=input!$B$7
=input!$B$8
=input!$B$9
=input!$E$5:$K$5
=input!$E$6:$K$6
=input!$E$7:$K$7
=input!$E$8:$K$8
=input!$E$9:$K$9
=input!$E$10:$K$10
=input!$E$11:$K$11
=input!$E$12:$K$12
=input!$E$13:$K$13
=input!$E$14:$K$14
=input!$E$15:$K$15
=input!$E$16:$K$16
=input!$E$17:$K$17
Find row in M.F. Table -
Find column in M.F. Table -
Data Source(s)
Par02
Par03
Par04
Par05
Par06
Par07
Par08
Par09
Par10
Par11
Par12
Par13
Par14
Par15
Par01
Par16
Par17
Par18
Par19
=input!$E$18:$K$18
=input!$E$19:$K$19
=input!$E$20:$K$20
=input!$E$21:$K$21
=input!$E$22:$K$22
1Q10s (cfs)
Jan. 09
<
Feb. 09
PQL = 10
No PQL or a lower PQL of 9
Per Memo Dated 7-15-2010

FW
HH
NC
A
Par20
Par21
Par22
Qw (MGD) =
1Q10S (cfs) =
7Q10S (cfs) =
7Q10W (cfs) =
30Q2 (cfs) =
Avg. Stream Flow, QA (cfs) =
Receiving Stream:
Stream Class:
TR
WS
WWTP/WTP Class:
=input!$B$16
_1Q10__cfs
_7Q10s__cfs
_7Q10w__cfs
_30Q2__cfs
Qw__MGD
QA__cfs
=input!$B$15
HQWF
Par_01
Par_02
Par_03
Par_04
Par_05
Par_06
Par_07
Par_08
Par_09
Par_10
Par_11
Par_12
Par_13
Par_14
Par_15
Par_16
Par_17
Par_18
Par_19
Par_20
Par_21
Par_22
=input!$E$23:$K$23
=input!$E$24:$K$24
=input!$E$25:$K$25
=input!$E$26:$K$26
=input!$E$5:$E$26
=input!$G$5:$G$26
=input!$F$5:$F$26
=input!$H$5:$H$26
=input!$I$5:$I$26
=input!$J$5:$J$26
=input!$K$5:$K$26
=input!$N$6
=rpa!$L$5
IWC_1Q10S
Print_Area
Print_Titles
=rpa!$C1:$P$99
=rpa!$1:$2
RPA Tab only:
INPUT Tab only:
=input!$A$1:$K$26
DATA Tab only:
=data!$A$2:$GP$204
Receiving_Stream
RPA for non-AL - apply Monthly Monitoring with Limit
RPA for AL(Cu,Zn,Ag,Fe,Cl) - apply Quarterly Monitoring in conjunction with TOX Test

No Data (new Permit, New Waste Stream) - apply Monthly Monitoring, Pollutant of concern
Follow directions for data entry. In some cases a comment menu list the available choices or a dropdown menu will provide a list you may select from. Error message occur if data entry
does not meet input criteria.
RPALIST
_Data01
_Data02
_Data03
_Data04
_Data05
_Data06
_Data07
_Data08
_Data09
_Data10
_Data11
_Data12
_Data13
_Data14
_Data15
_Data16
_Data17
_Data18
_Data19
_Data20
_Data21
_Data22
=data1$D5:$D$204
=data1$M5:$M$204
=data1$V5:$V$204
=data1$AE5:$AE$204
=data1$AN5:$AN$204
=data1$AW5:$AW$204
=data1$BF5:$BF$204
=data1$BO5:$BO$204
=data1$BX5:$BX$204
=data1$CG5:$CG$204
=data1$CP5:$CP$204
=data1$CY5:$CY$204
=data1$DH5:$DH$204
=data1$DQ5:$DQ$204
=data1$DZ5:$DZ$204
=data1$EI5:$EI$204
=data1$ER5:$ER$204
=data1$FA5:$FA$204
=data1$FJ5:$FJ$204
=data1$FS5:$FS$204
=data1$GB5:$GB$204
=data1$GK5:$GK$204
Û
REQUIRED DATA ENTRY
=rpa1$y$64:$y$77
UNITS
Applied Standard
PAR #
SW
No RPA , Predicted Max
≥
50% of Allowable Cw - apply Quarterly Monitoring
No RPA , Predicted Max
≥
50% of Allowable Cw - defer to LTMP
No RPA, Predicted Max < 50% of Allowbale Cw - No Monitoring required
WWTP/WTP Class
RPA for Limited Dataset (n<8 samples) - apply Quarterly Monitoring
RPA for Limited Dataset (n<8) but 2 values > Allowable Cw - apply Monthly Monitoring with Limit
ppt
mg/L
µg/L
lb/d
MAXIMUM DATA POINTS = 58
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
Reasonable Potential Multiplying Factors - Calculator
Confidence Level
Upper Boundary of the Effluent Distribution (Percentile Value Not To Exceed)
Coefficient of Variation
rdb
Statistically 58 points are the maximum number of points allowed under this RPA program. Data fields were estbalished to allow only 58 data point entries.
Additional messages will appear to alert user if more than 58 data points were enter and no predicted values will be calculated
All worksheets are "Protected"
The "mf calculator" is password "Protected"
OTHER CHANGES FROM PREVIOUS RPA PROGRAM:
A. When Model is applied (Check box activated):
1) assumes only chroinc dilution known
2) assumes user will insert appropriate flow values for
"7Q10s (cfs)", "7Q10w (cfs)", "30Q2 (cfs)", "QA (cfs)"
to define chronic dilution in terms of "
IWC %"
,
"IWC %"
is the same for all stream flows
3) automatically assigns the entered chronic IWC % to the
"IWC @ 7Q10s", "IWC @ 7Q10w", "IWC @ 30Q2", "IWC @ QA"
values used in chronic WQS calculations (See "RPA" page)
3)
"1Q10s (cfs)"
automatically defaults to no acute dilution, acute IWC = 100% ,
"IWC @ 1Q10s"
= 100% which is used in acute WQS calculatons (See "RPA" page)
B. When Model is not applied (Check box NOT activated):
1) assumes user will insert appropriate flow values for
"7Q10s (cfs)", "7Q10w (cfs)", "30Q2 (cfs)", "QA (cfs)" , "Flow Qw (MGD)
" for chronic IWC % calculations, IWC % will vary according to flows
3) automatically calculates chronic-based IWC % for the
"IWC @ 7Q10s", "IWC @ 7Q10w", "IWC @ 30Q2", "IWC @ QA"
values used in chronic WQS calculations (See "RPA" page)
3)
"1Q10s (cfs)"
is automatically calculated bases on entered
"7Q10s (cfs)"
flow

4) automatically calculates acute-based IWC% for the
"IWC @ 1Q10s"
value used in acute WQS calculations (See "RPA" page)
C. When paremeter's "Impaired?" check box is activated:
1) automtically activtes the
"IMPAIRED"
message alert on the "RPA" page for that parameter
2) does NOT make any automatic adjustements to WQS calculations
NOTE: If new or expanding discharge and receiving stream impaired, will need to evaluate if additional waste load is allowed
New generic RPA based on 95% probability/95% confidence
11/1/13:
2) Added feature on "DATA" page to determine if data entry include numeric valve when "<" entered, used to calculate true non-detects
3) Amended conditional statement to show "ERR" for data entries on "DATA" page when "<" entered without numeric value
4) Removed various statements from "RPA" page "Comments" drop down menu
5) Cut off chronic toxicity concentraton message "RPA" page

1) Amended conditional statement to list "(Model)" with parameter modifier on "RPA" page when model check box "INPUT" page activated
2/10/14:
Changed "data" blue shades to gray
5/2/14 rdb
1) Increased all calculated IWC% rounding factors to 7 decimal places.
2) Incresaed display for all calculated IWC% values to show 6 decimal places.
5/5/14 rdb
Increased all calculated IWC% rounding factors to 9 decimal places.
5/21/14 rdb
Removed ROUND function from all IWC% caculations
7/30/14 rdb
Corrected typo error in RPA page conditional statements
7/31/14 rdb
Moved RPA page titles blocks down one row to separate header text
9/4/14: rdb
2018 Generic RPA - 95% Probability/95% Confidence
TYPE
NC STANDARDS OR EPA CRITERIA

Acute
HUC Number
To appy a Model IWC %: Once the "Flow, Qw (MGD)" and and the "CHRONIC DILUTION FACTOR = " values are entered, the 7Q10s (cfs) flow is calculated and displayed. Enter the calculated "7Q10s
(cfs)" flow value in Table 1.
rpa 2013
password = rpa2018
1/17/18:
1) Revised model entry programming to show new instructions, provide entry cell for model chronic dilution factor, calculate and display 7Q10s value, calculate 1Q10s
2) Revised RPA to predict allowable Cw beginning with one data value based on applied data set
6) Increased decimal place display size Qw on RPA page
IWC% @ 7Q10S = <
IW%C @ 7Q10W =
IWC% @ 30Q2 =
IWC% @ QA =
IWC% @ 1Q10S =
5) Added message feature to show NO PARAMETER DEFINED on DATA page
1/19/18:
4) Revised all RPA IWC calculations equation to divide by 100 so calculated value represents %
1) Revised RPA IWC% 1Q19S display to show calculated value, removed reference to Acute=100%
2) Revised number format on all RPA IWC value displays to show true calculated number, not as %
3) Revised all RPA IWC label to add %
7) Revised DATA Max Pred Cw to show true value and removed reference to NO DETECTS
3) Revised RPA to use default CV for 1 to 9 data values, revised CV default message to reflect CV default application only and not to reference to NO DETECTS
4) Added NO DETECTS message feature to RPA page incuding revised message indicating Max MDL =
1/23/18:
2) corrected Allowable Cw formulas to apply IWC % values
1) corrected IWC % formulas error on 7Q10w, 30Q2, QA
Par23
Par24
Par25
Par26
Par27
Par28
Par29
Par30
Par31
Par32
WS Barrier
1,4-Dioxane
001
Latitude
Longitude
RP shown - apply limit with Monthly Monitoring
Less stringent than protection of downstream water uses. Apply WS
DAK Americas
Grade II
NC0003719
Cape Fear River
Cape Fear R. - Smithfield Packing WS-IV boundary
34.90564
-78.81549
WS-IV
1,4-dioxane data from January 2019 - April 2023. QA used was estimated by USGS for the downstream Cape Fear R. - Smithfield Packing WS-IV boundary. Discharge is ~ 6 miles above WS-IV
boundary 1,4-dioxane biodegradation negligible, and concentration discharged assumed equivalent direct discharge point and downstream WS; More restrictive Cw allowable based on downstream
WS-IV selected

Must Designate One:

C = Carcinogen
NC = Non-carcinogen
WQS Standards Designate Applicable Standard:

A = Aesthetic Standard

FW = Freshwater Aquatic Life Standard

HH = Human Health Standard
for human consumption organism and water

SW = Saltwater Aquatic Life Standard

TR = Trout Aquatic Life Standard

WS = Water Supply Standard
for human consumption water

This “npdes rpa” workbook was developed by and for the use of the North Carolina Division of Water Quality for the purpose of conducting Reasonable Potential Analyses under the NPDES
permit program. It is a working tool for DWQ staff and may be distributed to others at no charge so long as it contains this acknowledgement. Portions of the workbook are lightly protected
to prevent accidental alteration, and DWQ cannot guarantee that any copy so distributed is unaltered. Please contact the Point Source Branch to request an original copy.
</a:t></a:r><a:r><a:rPr lang="en-US" sz="1600" b="0" i
NCDWQ, 2009
Please see the 'user_guide' worksheet
for instructions on the use of this workbook.

CHECK TO APPLY MODEL
CHECK IF HQW OR ORW

Additional guidance on RPA 2010 revision v.Freshwater07282010:
I.
<
TABLE 1,
the Input page
:
a. The 1Q10 flow will automatically be determined when the 7Q10 is entered.
II. In
TABLE
2
, under the
Input page
, enter the parameter
Type
and
Modifier
as follows:

</a:t><
TYPE: MODIFIERS:
___
___________________________
<
C = Carcinogen
NC = Non-carcinogen
</a:t></a:r><
FW = Freshwater Aquatic Life Standards
<
</a:t></a:r><
A = Aesthetic
<
</a:t></a:r><
WS = Water Supply, human health associated with water & organism consumption
HH = Human Health associated with organism consumption</a:t></a:r><a:
</
III. When
entering sample results on the "data" sheet as shown to the right:
a. Data numbers (sample results) and &<'s can be copied and pasted but should be entered by clicking
Paste </a:
Special and Values.
b. If a PQL is listed, a sample result less than the PQL will be<
recognized at the PQL limit. Example
,
</a:
the PQL
for <
Cyanide
is
10 ug/L. Entering a
sample such as < 9
ug/L will result
in
a BDL=1/2

DL of

5 ug/L
because it recognizes the sample result is less than the PQL.
If you want the
sample to be recognized at that lower PQL level, d
ecrease or remove the PQL. In the example on the right, if you want the BDL=1/2

DL
to equal 4.5 the PQL on the Input Table for Cyanide would have to be removed or lowered.
IV. RPA sheet
and limit calculations:
Freshwater (FW)

To delete a parameter from the chart, simply click on the parameter number on the left , right click, hit delete and entire row.
Calculated limits are determined as follows:
a. Chronic and acute, Aquatic Life standards
for all parameters,
carcinogenic(C) or non-carcinogenic(NC),
will be divided by the 7Q10 and 1Q10, respectively.
b. Non-carcinogenic

(NC) parameters with
Human Health standards (HH and WS)
will be divided by the 7Q10
to give a chronic standard.

c
. Carcinogenic parameters with Human Health standards (HH and WS) will be divided by the mean annual average flow (QA) to give a chronic standard.
d. Parameters with
Aesthetic standards
such as Phenolic Compounds are divided by the 30Q2 flow.
Saltwater (S)
Go to the Saltwater RPA. All the rules
listed above are the same for saltwater aquatic life standards.
Instead of using FW (Freshwater) as the MODIFIER, use S (Saltwater).
If you would like No Dilution to be allowed, simply enter
the word
"<
Tidal"
under Stream Info.
on
Table 1
.

Using the Tool
The general sequence of steps for completing the RPA is as follows:
Setup (‘in’ sheet)-Begin with a blank copy of the ‘npdes rpa 200403.xls’ file. (Permit writers: To generate a blank copy, double-click on the RPA template (‘npdes rpa 200403.xlt’)
or on the shortcut to the template, located on the NPDES server.)
-Enter the facility, receiving stream, and other project-specific information in Table 1 of the ‘in’ sheet. The information will automatically populate the ‘rpa’ sheet.
-Enter the parameter names, applicable standards, and other information for the Pollutants of Concern (POCs, up to 15) in Table 2 of the ‘in’ sheet. The POC names will automatically
populate both the ‘rpa’ and the ‘data’ sheets.
-Table 2 already includes relevant information on the most common parameters. Users can change the table’s contents to include different parameters or to adjust for a saltwater discharge.

DO NOT cut-and-paste or click-and-drag the existing POC cells in order to re-arrange them. Instead, copy-and-paste the cells, then go back and delete the originals. (Just trust me on
this.) -Hide any rows in the ‘rpa’ and ‘data’ sheets that are not needed for the RPA. The file includes a toolbar with custom to simplify this.
-Enter new POC information into the appropriate cells. Be sure to update all of the information for each parameter to be changed.
-Once the information is entered, you can sort it by Parameter (or whatever column you choose) to get it in the preferred order.
Data Entry -Prepare the raw effluent data for each POC and enter it in the appropriate columns in the ‘data’ sheet.
-There are three data columns for each parameter: the Date, the “<” indicator (if needed; any character will work), and the data value. Enter the data accordingly. It is sometimes easier
to use the ‘blank’ sheet or other sheet to arrange the raw data, and then copy it into the ‘data’ sheet.
-Values entered as “less than detection” using the “<” character (actually, any character in that column) will automatically be halved for the calculations that follow. The sheet also
counts any values less than the PQL (see Table 2 on the ‘in’ sheet) as “less than detection”.
User’s Guide
RPA Tool
March 21, 2009
The RPA Tool is an Excel workbook, ‘npdes rpa 200403.xls, developed and maintained by the NCDWQ’s NPDES Permitting Units. The Unit’ permit writers use the Tool to evaluate effluent data
from individual wastewater treatment plants and determine whether limits for certain pollutants of concern (typically, heavy metals, cyanide, and toxic organics) are warranted. It evaluates
the magnitude and variability of the data and determines whether there is a reasonable potential that the discharge will cause a contravention of applicable water quality standards
and criteria. If such reasonable potential is found, the permit writer uses the results of the analysis to determine appropriate permit limits for the parameter(s).
The Tool employs statistical methods described in the U.S. EPA’s Technical Support Document for Water Quality-based Toxics Control, March 1991, EPA/505/2-90-001, available for download
at http://yosemite.epa.gov/water/owrccatalog.nsf/e673c95b11602f2385256ae1007279fe/025cb4267d4d9fd585256b060072539a?OpenDocument&CartID=8774-040144.
Overview
The RPA workbook consists of six spreadsheets:
ack is the introductory screen and explains to terms of use of the RPA tool.
in is the initial data entry sheet for project-specific information and the pollutants of concern.
rpa is the main worksheet of the tool. It serves as a summary report of the RPA’s results and includes the permit writer’s recommendations for each parameter.
data contains the raw effluent data for each pollutant of concern. Most of the statistical calculations are carried out on this sheet.
mf table is the standard Multiplication Factor table used in the tool. The MF is a function of the number of samples (n) and the Coefficient of Variation (CV, the standard deviation
of a data set divided by its mean).
blank is a blank sheet which can be used to organize effluent data prior to entering the data in the ‘data’ sheet. Of course, you can add others if the need arises.
The first five sheets are “protected” to prevent unintentional (and undetected) changes in the spreadsheet’s programming or content. However, certain portions of the ‘in,’ ‘rpa,’ and
‘data’ sheets - highlighted in light blue - are unlocked for data entry.
Unfortunately, the “protect” feature in Excel prevents certain changes (some formatting, for instance) that would be useful and would not corrupt the workbook. To get around this, the
sheets include macros that allow the user to unlock (and re-lock) the sheets when changes are needed (more on that below).
Review Results-The ‘data’ sheet calculates the maximum predicted concentration for each POC and returns it to the ‘rpa’ sheet (Col. K). The ‘rpa’ sheet compares this result with the
maximum concentrations allowed by the acute standard (no instream dilution) and the chronic standard (dilution included) and reports whether the maximum predicted value is more than
or less than the maximum allowed (Col. L). It also presents an automated response, suggesting a permitting action based on these results.
Enter Recommendations - At this point, the permit writer must evaluate the results in the ‘rpa’ sheet, along with any other relevant factors, and recommend what limits and/or monitoring
to include in the new permit. Enter these notes in Column M.<
Misc. notes:
‘mf table’</w:t></w:r><w:r - n = 1-200, CV = 0.1-6.1- values based on 99% probability to not exceed, with 99% confidence