MACT Existing UPL for Mercury Using Pooled Variance, Corrected for Temporal Autocorrelation with Intraquarry Variability ‐ 

Runs Kiln ID 1248 Kiln ID 1259 Kiln ID 1286 Kiln ID 1302 Kiln ID 13

1 18.88 27.01 16.82 2 15.77 28.73 12.97 3 20.71 28.67 9.49 4 22.61 27.95 10.43 5 19.67 7.66 9.44 6 25.90 7.49 11.47 7 22.63 7.58 13.59 8 21.21 8.12 12.85 9 5.07 23.93 4.30 

10 44.96 22.61 12.04 11 34.37 23.06 21.41 12 13.46 24.21 13.65 13 11.57 25.25 12.44 14 13.90 21.47 16.52 15 27.43 25.53 22.02 16 25.55 25.89 12.31 17 21.95 29.34 15.39 18 12.10 26.03 13.51 19 12.83 7.60 3.75 20 9.18 24.26 9.40 21 8.74 23.68 10.88 22 17.63 19.77 12.45 23 47.30 21.97 11.76 24 33.53 22.80 11.73 25 19.11 23.23 60.15 26 25.09 31.24 20.59 27 14.94 30.64 13.96 28 17.89 32.58 21.90 29 24.46 28.53 12.74 

Em
30 39.85 28.41 

31 12.9532333435

ni = number runs = 0 31 29 30 

ni‐1 30 28 29 

= sum of (ni‐1) 268

means 21.33 22.65 15.28 Mean 20.69 #source mean = mean 

N = Number sources= 9 #because UPL is base
m= number future runs = 30

t‐statistic = quantile t‐distribution with df degrees of freedom at .99 confidence level =

Assuming Correlated variablescorrelation =correl(data‐last,data ‐ first obs)

0.135746154 0.54308166 0.10213164 0.08430

Pooled stdev= 9.62605957 Revised 3 q

Variance data = 92.6610229

adjustment for temporal correlation= 111.996455

intra quarry variance= 116.012236

adjustment for temporal correlation= 175.953767

total variance 287.950222 *** QUESTION FOR MIKE: DOES TEM

*** IN OTHER WORDS, WHAT YOU G*** If NOT, THEN ONLY THE MEASU

*** DATA AND INTRAQUARRY VARIA

Variance = Variance pooled, intraquarry data adjusted for temporal correlation 287.950222 #calculated as varianceSQRT(Variance*(1/n+1/m)) 5.98127358UPL-- source mean and variance pooled data, including intraquarry variability 34.6879487 lb/MM tons feed

57.2351153 lb/MM tons clinker

*** if the data in columns Oto Q are 

*** defined as sdev^2

*** defined as before variance* (1+

*** defined as (RSD*Mean)^2
Kiln ID 1435 Kiln ID 1484 Kiln ID 1589 Kiln ID 1650 Kiln ID 1594 Kiln ID # 

30.50 30.50 13.22 13.60 0.27.52 27.52 7.64 30.05 0.29.07 29.07 9.53 32.88 0.24.64 24.64 1.71 32.59 0.23.82 23.82 7.66 28.73 24.52 24.52 0.32 34.14 0.25.14 25.14 14.12 32.33 0.26.46 26.46 13.70 23.38 0.25.49 25.49 12.72 35.00 0.38.60 38.60 11.24 32.91 0.24.65 24.65 10.56 31.44 0.29.45 29.45 9.82 27.48 0.25.04 25.04 12.92 28.55 0.29.91 29.91 13.70 25.19 0.

1.43 1.43 9.46 25.63 0.5.07 5.07 7.66 10.01 0.

25.97 25.97 12.36 28.03 0.29.30 29.30 13.98 30.27 0.26.93 26.93 9.40 25.85 0.26.63 26.63 8.68 33.36 0.24.82 24.82 7.60 29.10 0.24.11 24.11 7.62 26.91 022.00 22.00 7.63 29.70 0.22.00 22.00 8.20 30.02 0.22.00 22.00 11.27 10.91 035.74 35.74 8.93 11.87 24.47 24.47 7.64 14.04 038.69 38.69 7.60 13.49 0.27.28 27.28 15.72 0.

Daily Mercury Concentrations (ppm
26.93 26.93 13.75 0.

23.83 23.8324.11 24.1127.28 27.2824.82 24.8224.47 24.47

35 35 0 28 3034 34 27 29

Avg 0.StdevRSDcorrelation 0.

25.51 25.51 9.53 25.23
2.34034229 =tinv((1-.99)*2,df)

0.23671245 0.23671245 0.19500164 0.532073044

ariability RSD= 0.52

ON AFFECT THE QUARRY OR ONLY THE KILNS?

RRY ONE DAY DEPENDS OF WHAT YOU GET THE PREVIOUS DAYS?

PORAL CORRELATION, IF YES: THEN BOTH THE VARIANCE OF

ULTIPLIED BY (1+CORR)

al correlation))

a, we can calculate the temporal correlation there and use it for the adjustment of the intraquarry variance
1376

0.02650.01970.02140.03260.0225

0.02

0.03370.03650.03440.03130.0312

0.028

0.03170.02070.02740.02630.02110.01770.03180.02460.02890.02320.02920.0302

0.036

0.02910.02960.02650.0257

by Quarry
0.0255

0.027 0.043

0.023

0.520592

0.2282 0.5167