Emission Factor Supporting Documentation for the 

Final Mercury and Air Toxics Standards

EPA-454/R-11-012

November 2011

Emission Factor Supporting Documentation for the 

Final Mercury and Air Toxics Standards

Introduction and compilation By: 

Marc Houyoux

Emission Inventory and Analysis Group

Air Quality Assessment Division

With technical contributions by:

Barrett Parker and Ron Myers

Measurement Policy Group

Sector Policies and Programs Division

And additional contributions by:

David Bullock and Shelly Johnson

Research Triangle Institute

Research Triangle Park, North Carolina

Contractor contributions prepared for:

Alison Eyth

Work Assignment Contracting Officer Representative

Air Quality Assessment Division

Contract No. EP-D-11-084

Work Order No. 0-04

U.S. Environmental Protection Agency

Office of Air Quality Planning and Standards

Air Quality Assessment Division

Emissions Inventory and Analysis Group

Research Triangle Park, North Carolina
1

I. Background

The U.S. Environmental Protection Agency (EPA) is finalizing the National Emission Standards for 

Hazardous Air Pollutants from Coal- and Oil-Fired Electric Utility Steam Generating Units (EGUs) 

under Clean Air Act (CAA or the Act) section 112(d), referred to in this document as the Mercury and 

Air Toxics Standards (MATS). A key piece to several aspects of the technical documentation 

includes Hazardous Air Pollutant (HAP) emission inventory estimates for U.S. EGUs at the facility, 

unit, and national resolutions.

This memorandum addresses the development of HAP emission factors used to create the emissions 

estimates for (a) the non-mercury case study units and (b) the current base nationwide emissions 

inventory. Additional information on the non-mercury case study emissions is available in the revised 

“Non-Hg Case Study Chronic Inhalation Risk Assessment”. Additional information on the current 

base nationwide emissions inventory is available in “Memorandum: Emissions Overview: Hazardous

Air Pollutants in Support of the Final Mercury and Air Toxics Standard”.

For both the non-mercury case studies and the current base nationwide emissions inventory, stack test 

data were used wherever available. These stack tests were usually performed in groups of three per 

stack, which were averaged to create a unit-specific emission factor (EF), and it is these EFs that were 

used create emissions for the tested units. In addition, EFs and emissions were needed for units that did 

not have stack testing submitted to EPA. This document describes the approaches taken to analyze, 

group, and eliminate outliers from the test data, and finally to compute average EFs for mercury (Hg), 

acid gases, and non-Hg metals.

The EFs for Hg, acid gases, and metals used to develop the national inventory are available in the 

Excel®spreadsheet “MATS_Final_Current_Base_HAP_inven.xlsx”, called the “inventory spreadsheet” 

in the remainder of this document. The EFs for the non-Hg cases studies are available in the spreadsheet 

“Case_Study_Emis_MATS_Final.xlsx”, called the “case study spreadsheet” here.

These emission factors are an interim result based on analysis available at the time of the final MATS 

rule. Continued analysis and inclusion of additional data is ongoing and will result in improvements 

and possible changes to these emission factors. Future EPA approved emission factors will be 

published in WebFIRE when complete and will be subject to public review and comment. Further, no 

conclusions should be made on the most effective control technologies based on the Hg or hydrogen 

chloride bins, because analysis to resolve that particular question was not included in the work done to 

produce these emission factors. Nevertheless, these emission factors represent scientifically credible 

approaches and the best available factors based on the ICR data at the time of the MATS final rule.

II. Emissions bins

Emissions bins are groups of units with test-based EFs that are used to create one average EF per bin. 

Different criteria can be used to bin the test data into such groups. The bins used for this work are 

available in the emission inventory spreadsheet (listed in Section I), in the tab “3-Bin_Key”. The

tables shown in the spreadsheet are replicated in Section V below, which includes the emission factors 

assigned to each bin. The bins for Hg, hydrogen chloride (HCl), hydrogen fluoride (HF), and 
2

hydrogen cyanide (HCN) were based on the combination of fuel type, boiler type, and emission 

control scheme. These bins are the same as the bins used for the emission modification factors in the 

Integrated Planning Model (IPM)

1

, used to estimate future-year emissions. These same bins were also 

used for development of Hg speciation factors2. The bins for metals were developed using procedures 

to group data based on their statistically significant differences only, and these efforts are described in 

Attachment A. In the inventory spreadsheet tab “3-Bin_Key”, metal EFs are repeated for many of the 

rows, indicating that the bin resolution is coarser for these pollutants. For example, rather than 22 

different bins for arsenic, there are 5 bins as observed by the 5 different EF values listed in the arsenic 

column of that spreadsheet.

III. Outlier Methodology

EPA used a statistical approach to identify outliers to be excluded from the dataset to develop the best 

emission factor for each bin. The following sections describe the outlier identification process and the 

outlier identification results.

1. Outlier identification: The outlier identification methodology is consistent with Recommended 

Procedures for Development of Emissions Factors and Use of the WebFIRE Emissions Factor 

Database, December 17, 2010. For each control scheme bin, the outliers are identified by Dixon 

tests and Rosner tests. The identification process is conceptually described in Figure 1 below. The 

detailed process is described in paragraphs 2 through 5, below. The process steps were 

implemented using the software ProUCL 4.1®and R statistical language.

2. Determine the distributions: Within each control scheme bin, R programs (scripted in statistical 

language R) and ProUCL 4.1 normality tests were used to determine whether the distribution was 

normal or log-normal. Detailed process steps are listed below.

a. Shapiro-Wilk tests (R program): Normality tests could not be run in ProUCL when the 

sample size was smaller than 4. In this case, R programs were used to determine the 

normality or log-normality by applying Shapiro-Wilk normality tests. When a bin was of 

neither distribution, it was treated as a log-normally distribution in the remaining steps.

b. Shapiro-Wilk tests (ProUCL): When there were more than 4 samples, Shapiro-Wilk tests 

(95% confidence level) were conducted to determine the normality or log-normality of the 

data set. When neither distribution was determined by Shapiro-Wilk tests, the p-value for 

log-normality check was recorded.

c. Lilliefors tests (ProUCL): If step “b” did not determine the distribution, Lilliefors tests (95% 

confidence level) were conducted to determine the log-normality of the data set.

d. Lognormal QQ plot review (ProUCL): If Lilliefors tests still did not determine the lognormal distribution, the lognormal QQ plot was reviewed to determine the log-normality 

fitting.

 

1

IPM is a multi-regional, dynamic, deterministic linear program model of the U.S. power sector that determines the least cost 

solution to meeting a set of environmental constraints while still meeting specified electric demand. For more detail on IPM 

see: http://www.epa.gov/airmarkets/progsregs/epa-ipm/index.html

2

See “EGU Mercury Speciation Profiles for the Clean Air Mercury Rule (CAMR)”
3

3. Data transformation: Depending on the distribution, the data was transformed in some cases. If 

the distribution was normal, the unit-level emission factors were used as-is. If the distribution was 

not normal, then the data were log transformed.

4. Outlier Tests (using ProUCL): The two methods to determine outliers were part of the ProUCL 

software. If the data set had between 3 and 24 values, the Dixon outlier test was used. If the data 

set had more than 24 values, then the Rosner outlier test was used.

5. Outliers identified: The ProUCL results provided lists of outliers at 1, 5 and 10% confidence 

levels. All outliers identified at the 5% confidence level were identified as outliers for our data 

sets. Once the outliers were identified, they were removed from the analysis, and the process was 

re-run for the remaining values in the data sets. The details of distributions and outliers determined 

for each bin are presented in Tables 1 through 4.

Figure 1. Outlier identification process.

IV. Outlier Identification Results for Mercury and Acid Gases

The two subsections below document the outlier results for Hg and the acid gases. The outlier results 

for the metals were documented in a different way and are therefore included as attachments to this 

document. These attachments cover the results for antimony, arsenic, beryllium, cadmium, cobalt, 

chromium, lead, manganese, nickel, and selenium. Attachment A contains the materials prepared to 
4

document the metal emissions for coal emissions. The data and documentation for the metal emission 

factors for oil units are available in the spreadsheet “93eguoilmet 07oct2011.xlsx”.

IV.A Mercury

The Hg emission factors were developed based on data provided from the PART III ICR collection. 

Data from all units provided under Part III were included in the analysis. The emission factors were 

analyzed for outliers based on the unit’s bin. Once the outliers were identified, they were removed 

from the respective bin and the arithmetic mean of the factors was calculated. Table 1 presents the 

results for the outlier analysis for Hg.

Table 1. Hg distributions and outliers.

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

50 6 Log-Normal Y N

51 25 Log-Normal Y N

52 9 Log-Normal Y N

53 9 Neither N N Y Y 2E-02

For 5% significance 

level, -14.24526836 is 

an outlier.

54 42 Log-Normal Y N

55 30 Log-Normal Y N

56 3 Normal

57 6 Log-Normal Y N

58 4 Normal - -

For 5% significance 

level, 2.34E-08 is an 

outlier.

59 2 N <3: NA

60 4 Log-Normal - -

61 13 Log-Normal Y N

62 2 N <3: NA

63 2 N <3: NA

64 3 Neither - -

For 5% significance 

level, -11.887 is an 

outlier.

65 25 Log-Normal Y N

66 10 Normal N Y

67 3 Normal - -

For 5% significance 

level, 3.173E-06 is an 

outlier.

68 14 Neither N N N N 3E-03

69 5 Normal N Y

For 5% significance 

level, 1.44E-06 is an 

outlier.

70 20 Normal Y Y

71 1 N <3: NA

72 2 N <3: NA
5

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

73 6 Log-Normal Y N

For 5% significance 

level, -15.05438322 is 

an outlier.

74 10 Normal N Y

75 48 Log-Normal Y N

76 1 N <3: NA

77 3 Normal - -

78 6 Log-Normal Y Y

* SW test= Shapiro-Wilk test.

** p-value of the Shapiro-Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions 

(Lognormal nor normal). 

*** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.

IV.B Acid Gases

The acid gases emission factors were developed based on data provided from the PART III ICR 

collection. Data from all units provided under Part III were included in the analysis. The unit-specific 

emission factors were analyzed according to the process described in Section III. Tables 2 through 4 

present the results for acid gases.

Table 2. HF distributions and outliers.

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

1 96 Neither N N N N 0E+00

For 5% significance level, there 

are 8 Potential Outliers: -2.565, 

-2.597, -2.685, -2.685, -2.881, -

2.881, -3.919, -4.807

2 45 Log-Normal N N N Y 4E-04

For 5% Significance Level, 

there is 1 Potential Outlier; 

Therefore, Observation -5.084 

is a Potential Statistical Outlier

4 29 Log-Normal N N N Y 6E-05

For 5% significance level, there 

are 4 Potential Outliers: -8.686, 

-8.632, -3.137, -6.859

5 13 Neither N N N N 4E-07

For 5% significance level, -

2.961 is an outlier.

6 4 Normal -

7 4 Log-Normal -

For 5% significance level, -2.961

is an outlier.

8 13 Log-Normal N N Y Y 2E-02

9 1 N <3: NA

10 1 N <3: NA

11 2 N <3: NA

12 2 N <3: NA
6

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

13 15 Log-Normal N N Y Y 1E-02

14 16 Normal N Y

15 10 Log-Normal Y N

16 15 Log-Normal Y N

17 1 N <3: NA

18 1 N <3: NA

19 6 Normal N Y

20 58 Log-Normal N N N Y

For 5% significance level, there 

are 4 Potential Outliers: -11.46, 

-6.085, -11.11, -6.52

21 1 N <3: NA

22 2 N <3: NA

23 3 Neither - -

For 5% significance level, -

6.754 is an outlier.

* SW test= Shapiro-Wilk test.

** P-value of the Shapiro-Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions 

(Lognormal nor normal). 

*** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.

Table 3. HCN distributions and outliers.

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

1 89 Log-Normal Y N

2 40 Log-Normal Y N

4 27 Log-Normal Y N

5 8 Normal N Y

6 4 Normal - -

7 4 Log-Normal - -

8 10 Log-Normal N N Y Y 4E-02 For 5% significance 

level, -12.05535643 is 

an outlier.

9 1 N <3: NA

10 1 N <3: NA

11 2 N <3: NA

12 2 N <3: NA

13 14 Log-Normal N N Y Y 1E-03 For 5% significance 

level, -3.50449819 is 
7

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

an outlier.

14 13 Log-Normal Y N

15 9 Normal Y Y

16 13 Log-Normal N

17 1 N <3: NA

18 1 N <3: NA

19 6 Log-Normal N N Y N NA

20 57 Log-Normal Y N

21 1 N <3: NA

22 2 N <3: NA

23 4 Log-Normal - -

* SW test= Shapiro-Wilk test.

** P-value of the Shapiro-Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions 

(Lognormal nor normal). 

*** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.
8

Table 4. HCl distributions and outliers.

Control 

scheme N Distribution***

Lognormally 

distributed? 

(SW test at 95% 

confidence)

Normally 

distributed? 

(SW test at 95% 

confidence)

Lognormally 

distributed? 

(Lilliefors test at 

95% confidence)

Lognormally 

distributed? 

(QQ Lognormal 

plot) P

** Outlier Checks

1 96 Log-Normal N N N N 0E+00

For 5% significance 

level, there are 8 

Potential Outliers; 

Therefore, Potential 

Statistical Outliers are 

-2.28, -2.28, -4.334, -

4.375, -4.375, -4.401, -

4.462, -4.494

2 43 Log-Normal N N N Y 3E-04

4 29 Log-Normal N N Y Y 2E-03

5 13 Normal N N N N 8E-04

6 4 Normal -

7 4 Log-Normal -

8 13 Log-Normal N N N N 2E-03

9 1 N <3: NA

10 1 N <3: NA

11 2 N <3: NA

12 2 N <3: NA

13 15 Log-Normal N N N Y 2E-02

14 16 Log-Normal N N N Y 3E-02

For 1% significance 

level, -5.09126489 is 

an outlier. For 5% 

significance level, 

0.004646is an outlier.

15 10 Normal Y N

16 14 Log-Normal Y N Y

17 1 N <3: NA

18 1 N <3: NA

19 6 Log-Normal N N N N N/A

20 59 Log-Normal Y N Y Y 5E-02

For 5% significance 

level, there are 2 

Potential Outliers; 

Therefore, Potential 

Statistical Outliers are 

-11.49, -3.693

21 1 N <3: NA

22 2 N <3: NA

23 3 Log-Normal - -

* SW test= Shapiro-Wilk test.

** P-value of the Shapiro-Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions 

(Lognormal nor normal). 

*** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.
9

V. Development of emission factors

Once the outliers were excluded from the datasets for each pollutant, emission factors were computed 

using an arithmetic average for each bin. The use of arithmetic average is based on EPA guidance in 

AP-42. Based on past analysis as well as analysis done for this effort3, the arithmetic mean for 

emissions factors provides the single best value for predicting national emissions estimates. Further, 

when no other method is available for a given unit, average emission factors are the best available 

information for estimating emissions from such units.

Tables 6 through 8 provide the average emission factors for Hg, acid gases, and non-Hg metals, 

respectively. These data are also available in spreadsheet form in the worksheet “3-Bin_Key” in the 

inventory spreadsheet described in Section I. Furthermore, the unit level data used to compute the 

emission factors for Hg are available in the worksheet “8-Mercury_EFs” of the inventory spreadsheet 

and for acid gases in the worksheet “8-Acid_Gas_EFs”. Also in the inventory spreadsheet, the 

worksheets “8-As_EFs”, “8-Cr_EFs” and “8-Ni_EFs” include the data for arsenic, chromium, and 

nickel emission factors. All data available for the other metal emission factors calculation are

available only in Attachment A and the spreadsheet “93eguoilmet 07oct2011.xlsx”, both of which 

include additional information for arsenic, chromium, and nickel that is unavailable in the inventory

spreadsheet alone. The emission factors used in the non-Hg case studies for the units that did not have 

test data are available in the spreadsheet “Case_Study_Emis_MATS_Final.xlsx”. This spreadsheet 

includes the calculation of hexavalent chromium from total chromium, which was done only for the 

non-Hg case study emissions.

 

3 Response to comments for the Mercury and Air Toxics Standard final rule, non-Hg case studies for the appropriate and 

necessary finding.
10

Table 6. Average emission factors for Hg

Bin 

Number Fuel Type Boiler Type Control Scheme

Hg

(lb/MMBtu)

50 Bituminous Conventional Activated Carbon Injection 1.94E-06

51 Bituminous Conventional Dry FGD + Fabric Filter 1.14E-07

52 Bituminous Conventional Fabric Filter + Wet FGD 8.03E-07

53 Bituminous Conventional Fabric Filter 4.37E-08

54 Bituminous Conventional ESP + Wet FGD 1.25E-06

55 Bituminous Conventional Cold-side ESP 5.64E-06

56 Bituminous Conventional No Hg Control (includes hot-side ESP’s) 1.10E-05

57 Bituminous Fluidized Bed Dry FGD + Fabric Filter 5.80E-08

58 Bituminous Fluidized Bed Fabric Filter 1.15E-08

59 Bituminous Fluidized Bed Cold-side ESP 1.73E-06

60 Coal Refuse Fluidized Bed Dry FGD + Fabric Filter 3.78E-07

61 Coal Refuse Fluidized Bed Fabric Filter 1.63E-07

62 Lignite Conventional Activated Carbon Injection 3.90E-06

63 Lignite Fluidized Bed Activated Carbon Injection 4.67E-06

64 Lignite Fluidized Bed Fabric Filter 1.08E-05

65 Subbituminous Conventional Activated Carbon Injection 1.30E-06

66 Subbituminous Conventional Dry FGD + Fabric Filter 4.69E-06

67 Subbituminous Conventional Fabric Filter + Wet FGD 1.47E-07

68 Subbituminous Conventional Fabric Filter 3.03E-06

69 Subbituminous Conventional Wet FGD 3.32E-06

70 Subbituminous Conventional Cold-side ESP 3.28E-06

71 Subbituminous Conventional No Hg Control (includes hot-side ESP’s) 5.25E-06

72 IGCC IGCC No Hg Control 8.18E-07

73 No. 2 Fuel Oil Conventional No Hg Control 1.14E-07

74 No. 6 Fuel Oil Conventional Cold-Side ESP 6.23E-08

75 No. 6 Fuel Oil Conventional No Hg Control (includes hot-side ESP’s) 1.12E-07

76 Petroleum Coke Conventional Wet FGD 6.48E-08

77 Petroleum Coke Fluidized Bed Dry FGD + Fabric Filter 5.96E-08

78 Petroleum Coke Fluidized Bed Fabric Filter 9.63E-07
11

Table 7. Average emission factors for acid gases

Bin 

Number Fuel Type Boiler Type Control Scheme

Hydrogen 

Cyanide

(lb/MMBtu)

Hydrogen

Chloride

(lb/MMBtu)

Hydrogen 

Fluoride

(lb/MMBtu)

1 Bituminous Conventional Wet FGD 2.31E-04 5.83E-04 1.80E-04

2 Bituminous Conventional Dry FGD 3.45E-04 6.48E-03 1.09E-04

3 Bituminous Conventional Sorbent/Carbon Injection No emission data were available*

4 Bituminous Conventional No Acid Gas Control 4.79E-04 5.95E-02 6.19E-03

5 Bituminous Fluidized Bed Dry FGD 1.03E-03 2.76E-02 6.50E-05

6 Bituminous Fluidized Bed No Acid Gas Control 2.06E-03 1.03E-02 7.38E-05

7 Coal Refuse Fluidized Bed Dry FGD 4.26E-04 3.53E-02 3.10E-04

8 Coal Refuse Fluidized Bed No Acid Gas Control 6.00E-04 1.07E-02 1.10E-03

9 Lignite Conventional Wet FGD 1.59E-05 1.20E-04 9.35E-05

10 Lignite Conventional Sorbent/Carbon Injection 2.01E-05 7.49E-04 2.63E-03

11 Lignite Fluidized Bed Dry FGD 2.14E-05 6.13E-05 6.96E-05

12 Lignite Fluidized Bed No Acid Gas Control 1.31E-05 3.67E-04 8.80E-06

13 Subbituminous Conventional Wet FGD 1.02E-04 2.16E-03 3.05E-03

14 Subbituminous Conventional Dry FGD 1.86E-04 1.92E-04 2.73E-04

15 Subbituminous Conventional Sorbent/Carbon Injection 1.13E-04 8.85E-04 1.02E-03

16 Subbituminous Conventional No Acid Gas Control 1.52E-03 3.20E-03 1.01E-03

17 IGCC IGCC PM Scrubber 5.19E-05 8.12E-05 8.32E-05

18 IGCC IGCC No Acid Gas Control 3.21E-05 2.84E-04 1.71E-04

19 No. 2 Fuel Oil Conventional No Acid Gas Control 2.21E-05 3.69E-04 1.10E-04

20 No. 6 Fuel Oil Conventional No Acid Gas Control 3.29E-04 9.07E-04 2.02E-04

21 Petroleum Coke Conventional Wet FGD 8.13E-05 1.87E-05 4.95E-05

22 Petroleum Coke Fluidized Bed Dry FGD 1.10E-03 2.34E-04 6.74E-05

23 Petroleum Coke Fluidized Bed No Acid Gas Control 2.42E-03 3.78E-03 1.51E-04

* Sources with this configuration were defaulted to the next most conservative (higher) emission factor set, which is bin 4.
12

Table 8. Average emission factors for metals

Bin 

No. Fuel Type Boiler Type Control Scheme

Antimony

lb/MMBtu

Arsenic

lb/MMBtu

Beryllium

lb/MMBtu

Cadmium

lb/MMBtu

Chromium

lb/MMBtu

Cobalt

lb/MMBtu

Lead

lb/MMBtu

Manganese

lb/MMBtu

Nickel

lb/MMBtu

Selenium

lb/MMBtu

100 Bituminous Conventional Fabric Filter + 

Wet FGD

4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 9.24E-06

101 Bituminous Conventional Fabric Filter 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.89E-05 1.58E-06 2.25E-06 1.01E-05 2.74E-05 3.69E-05

102 Bituminous Conventional ESP + Wet FGD 4.22E-07 2.52E-06 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 9.24E-06

103 Bituminous Conventional ESP 1.45E-06 1.25E-05 4.16E-07 3.81E-07 4.89E-05 1.58E-06 6.61E-06 1.01E-05 2.74E-05 3.69E-05

104 Bituminous Fluidized Bed Fabric Filter 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.89E-05 1.58E-06 2.25E-06 1.01E-05 2.74E-05 3.69E-05

105 Bituminous Fluidized Bed ESP 1.45E-06 1.25E-05 4.16E-07 3.81E-07 4.89E-05 1.58E-06 6.61E-06 1.01E-05 2.74E-05 3.69E-05

106 Coal Refuse Fluidized Bed Fabric Filter 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.89E-05 1.58E-06 2.25E-06 1.01E-05 2.74E-05 3.69E-05

107 Lignite Conventional Fabric Filter + 

Wet FGD

4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 9.24E-06

108 Lignite Conventional Fabric Filter 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.89E-05 1.58E-06 2.25E-06 1.01E-05 2.74E-05 3.69E-05

109 Lignite Fluidized Bed Fabric Filter 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.89E-05 1.58E-06 2.25E-06 1.01E-05 2.74E-05 3.69E-05

110 Subbituminous Conventional Fabric Filter + 

Wet FGD

4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 9.24E-06

111 Subbituminous Conventional Fabric Filter 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.89E-05 1.58E-06 2.25E-06 1.01E-05 2.74E-05 3.69E-05

112 Subbituminous Conventional ESP + Wet FGD 4.22E-07 2.52E-06 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 9.24E-06

113 Subbituminous Conventional ESP 1.45E-06 1.25E-05 4.16E-07 3.81E-07 4.89E-05 1.58E-06 6.61E-06 1.01E-05 2.74E-05 3.69E-05

114 Subbituminous Conventional Wet FGD/PM 

Scrubber

4.22E-07 2.52E-06 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 9.24E-06

115 IGCC IGCC PM Scrubber 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 3.69E-05

116 IGCC IGCC No PM Control 4.22E-07 9.72E-07 1.18E-07 2.20E-07 4.75E-06 5.10E-07 2.25E-06 1.01E-05 2.74E-05 3.69E-05

117 No. 2 Fuel Oil Conventional No PM Control 3.30E-05 2.55E-06 1.62E-07 3.62E-07 5.70E-06 1.71E-05 1.30E-05 9.42E-06 3.46E-04 2.02E-06

118 No. 6 Fuel Oil Conventional ESP 3.30E-05 2.55E-06 1.62E-07 3.62E-07 5.70E-06 1.71E-05 1.30E-05 9.42E-06 3.46E-04 2.02E-06

119 No. 6 Fuel Oil Conventional No PM Control 

(includes 

multiclones)

3.30E-05 2.55E-06 1.62E-07 3.62E-07 5.70E-06 1.71E-05 1.30E-05 9.42E-06 3.46E-04 2.02E-06

120 Petroleum coke Conventional ESP + Wet FGD 

+ Wet ESP

1.59E-06 4.81E-05 1.17E-07 4.86E-07 2.76E-06 1.00E-06 3.83E-06 4.66E-06 1.59E-05 1.54E-06

121 Petroleum coke Fluidized Bed Fabric Filter 1.59E-06 4.81E-05 1.17E-07 4.86E-07 2.76E-06 1.00E-06 3.83E-06 4.66E-06 1.59E-05 1.54E-06
ATTACHMENT A

Documentation and calculations for metal emission factors

Compiled from original PDF documentation developed by OAQPS/SPPD/MPG and labeled:

Coal_Fired_Utility_Boiler_Antimony.pdf

Coal_Fired_Utility_Boiler_Arsenic.pdf

Coal_Fired_Utility_Boiler_Beryllium.pdf

Coal_Fired_Utility_Boiler_Cadmium.pdf

Coal_Fired_Utility_Boiler_Chromium.pdf

Coal_Fired_Utility_Boiler_Cobalt.pdf

Coal_Fired_Utility_Boiler_Lead.pdf

Coal_Fired_Utility_Boiler_Manganese.pdf

Coal_Fired_Utility_Boiler_Nickel.pdf

Coal_Fired_Utility_Boiler_Selenium.pdf
Coal Fired Utility Boiler

Antimony Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Antimony Emissions Factor are

presented on the following page with two sets of columns. The left set of columns presents

SCC, Submital ID, emissions factors, the natural log of the emissions factor and the control

measure employed. The right set of columns contains the same information but excluding the

boilers with ESP control. The site specific emissions factors presented are as determined using

the f factor method rather than the emissions factor determined by dividing the hourly

emissions by the coal feed and associated proximate analysis. Subsequent pages provide the

assessments as performed using EPA’s statistical software ProUCL. The assessments provide

support for the development of a separate national emissions factors for ESP, and for

combining data for Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate

emissions factors were developed since there is a statistical difference between ESP and

Fabric Filter controls. A combined factor for Fabric Filter, Dry Scrubbing controls and Wet

Scrubbing controls are supported by analyses that show that there is no significant difference

in the average emissions factors for these categories.

  

The resulting calculated arsenic emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP controls 1.45 x 10‐6 44 Highly Representative

Fabric Filter, Dry Scrubbing &

Wet Scrubbing controls

4.22 x 10‐7 91 Highly Representative
Antimony EF Development Data

SCC

submittal

ID

lb / 

mmBtuO2

Ln Sb

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

Ln Sb

#/mmBtu Controls

10100202 1972 9.79E-09 ‐18.441904 Wet 10100202 1972 9.79E-09 ‐18.4419 Wet

10100202 1488 1.62E‐08 ‐17.938255 Dry 10100202 1488 1.62E‐08 ‐17.93825 Dry

10100202 1190 3.04E-08 ‐17.308823 FF 10100202 1190 3.04E-08 ‐17.30882 FF

10100222 1726 3.75E-08 ‐17.098925 Dry 10100222 1726 3.75E-08 ‐17.09892 Dry

10100212 1648 4.04E-08 ‐17.024436 Wet 10100212 1648 4.04E-08 ‐17.02444 Wet

10300222 1276 4.14E‐08 ‐16.999985 Wet 10300222 1276 4.14E‐08 ‐16.99998 Wet

10100202 1189 4.33E-08 ‐16.955113 FF 10100202 1189 4.33E-08 ‐16.95511 FF

10100202 550002 4.57E-08 ‐16.901262 Dry 10100202 550002 4.57E-08 ‐16.90126 Dry

10100223 23151 4.63E-08 ‐16.888124 Wet 10100223 23151 4.63E-08 ‐16.88812 Wet

10100212 1647 4.67E-08 ‐16.879522 Wet 10100212 1647 4.67E-08 ‐16.87952 Wet

10100202 1909 4.96E‐08 ‐16.819275 Dry 10100202 1909 4.96E‐08 ‐16.81928 Dry

10100202 947 4.98E‐08 ‐16.815251 Dry 10100202 947 4.98E‐08 ‐16.81525 Dry

10100202 1611 5.03E-08 ‐16.805261 Dry 10100202 1611 5.03E-08 ‐16.80526 Dry

10100222 845 5.44E‐08 ‐16.726902 FF 10100222 845 5.44E‐08 ‐16.7269 FF

10100211 900 6.19E‐08 ‐16.597746 Wet 10100211 900 6.19E‐08 ‐16.59775 Wet

10100202 1738 6.90E‐08 ‐16.489159 Wet 10100202 1738 6.90E‐08 ‐16.48916 Wet

10100202 560 7.07E-08 ‐16.46482 Dry 10100202 560 7.07E-08 ‐16.46482 Dry

10100223 23152 7.15E-08 ‐16.453568 Wet 10100223 23152 7.15E-08 ‐16.45357 Wet

10100202 1597 9.18E-08 ‐16.203654 FF 10100202 1597 9.18E-08 ‐16.20365 FF

10100205 13461 9.38E‐08 ‐16.182101 Dry 10100205 13461 9.38E‐08 ‐16.1821 Dry

10100202 1942 9.42E‐08 ‐16.177846 Dry 10100202 1942 9.42E‐08 ‐16.17785 Dry

10100223 23153 1.08E-07 ‐16.041135 Wet 10100223 23153 1.08E-07 ‐16.04113 Wet

10100223 2315 1.09E-07 ‐16.031918 Wet 10100223 2315 1.09E-07 ‐16.03192 Wet

10100202 1129 1.14E‐07 ‐15.985689 Dry 10100202 1129 1.14E‐07 ‐15.98569 Dry

10100212 565 1.21E-07 ‐15.927475 Dry 10100212 565 1.21E-07 ‐15.92748 Dry

10100202 1606 1.24E-07 ‐15.902984 FF 10100202 1606 1.24E-07 ‐15.90298 FF

10100222 10040004 1.29E‐07 ‐15.863453 ESP 10100205 1349 1.32E‐07 ‐15.84046 Dry

10100226 2278 1.31E-07 ‐15.848069 ESP 10100202 2021 1.41E‐07 ‐15.77451 Dry

10100205 1349 1.32E‐07 ‐15.840464 Dry 10100202 2055 1.50E-07 ‐15.71263 Wet

10100222 2274 1.36E-07 ‐15.810611 ESP 10100202 1118 1.56E-07 ‐15.67341 Wet

10100202 2021 1.41E‐07 ‐15.774506 Dry 10100202 1743 1.63E‐07 ‐15.62952 Wet

10100223 2302 1.47E‐07 ‐15.732833 ESP 10100201 2319 1.65E‐07 ‐15.61732 Wet

10100202 2055 1.50E-07 ‐15.712631 Wet 10100202 1249 1.65E‐07 ‐15.61732 Dry

10100202 2161 1.50E-07 ‐15.712631 ESP 10100202 1133 1.88E‐07 ‐15.48824 Dry

10100202 1902 1.51E-07 ‐15.705986 ESP 10100202 1119 1.90E‐07 ‐15.47624 Wet

10100202 1118 1.56E-07 ‐15.67341 Wet 10100222 1568 1.94E‐07 ‐15.45541 Dry

10100202 1154 1.60E-07 ‐15.648092 ESP 10100203 1052 1.97E‐07 ‐15.44006 Dry

10100202 1743 1.63E‐07 ‐15.629516 Wet 10100224 1120 2.02E-07 ‐15.415 Wet

10100201 2319 1.65E‐07 ‐15.61732 Wet 10100202 1638 2.07E‐07 ‐15.39055 Wet

10100202 1249 1.65E‐07 ‐15.61732 Dry 10100226 1938 2.21E‐07 ‐15.3251 Dry

10100202 1133 1.88E‐07 ‐15.488237 Dry 10100202 1637 2.23E‐07 ‐15.31609 Wet

10100202 1119 1.90E‐07 ‐15.476242 Wet 10100221 2170 2.35E‐07 ‐15.26168 FF

10100222 1568 1.94E‐07 ‐15.455408 Dry 10100202 1515 2.47E‐07 ‐15.21388 Wet

10100203 1052 1.97E‐07 ‐15.440062 Dry 10100222 2259 2.58E-07 ‐15.17031 Wet

10100224 1120 2.02E-07 ‐15.414998 Wet 10100221 1835 2.64E‐07 ‐15.14725 FF

All Data Fabric Filter, Wet Scrubber & Dry Scrubber Data
Antimony EF Development Data

SCC

submittal

ID

lb / 

mmBtuO2

Ln Sb

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

Ln Sb

#/mmBtu Controls

All Data Fabric Filter, Wet Scrubber & Dry Scrubber Data

10100202 1638 2.07E‐07 ‐15.390547 Wet 10100202 1117 2.69E-07 ‐15.12855 Wet

10100226 1938 2.21E‐07 ‐15.325103 Dry 10100202 1117 2.69E-07 ‐15.12855 Wet

10100202 1637 2.23E‐07 ‐15.316094 Wet 10100205 1346111 2.69E‐07 ‐15.12855 Dry

10100221 2170 2.35E‐07 ‐15.261675 FF 10100202 736 2.97E-07 ‐15.03035 FF

10100212 1021 2.40E-07 ‐15.243662 ESP 10100202 735 3.00E-07 ‐15.01966 FF

10100203 894 2.43E-07 ‐15.230204 ESP 10100218 1563 3.08E-07 ‐14.99317 Dry

10100202 1515 2.47E‐07 ‐15.213878 Wet 10100218 524 3.11E‐07 ‐14.98347 FF

10100222 2259 2.58E-07 ‐15.170306 Wet 10100202 2095 3.17E-07 ‐14.96436 FF

10100221 1835 2.64E‐07 ‐15.147247 FF 10100205 134611 3.21E‐07 ‐14.95182 Dry

10100202 1117 2.69E-07 ‐15.128554 Wet 10100202 2239 3.24E-07 ‐14.94252 Wet

10100202 1117 2.69E-07 ‐15.128554 Wet 10100202 698 3.32E‐07 ‐14.91813 Dry

10100205 1346111 2.69E‐07 ‐15.128554 Dry 10100202 1563 3.70E-07 ‐14.80976 Dry

10100202 736 2.97E-07 ‐15.030353 FF 10100222 1449 3.74E-07 ‐14.79901 Dry

10100202 735 3.00E-07 ‐15.019657 FF 10100218 1563 3.79E-07 ‐14.78573 Dry

10100218 1563 3.08E-07 ‐14.993166 Dry 10100212 1177 3.86E-07 ‐14.76743 Wet

10100218 524 3.11E‐07 ‐14.983473 FF 10100202 2022 4.07E‐07 ‐14.71445 Dry

10100202 2095 3.17E-07 ‐14.964364 FF 10100203 1735 4.17E‐07 ‐14.69022 Dry

10100205 134611 3.21E‐07 ‐14.951825 Dry 10100203 1734 4.53E‐07 ‐14.60704 Dry

10100202 2239 3.24E-07 ‐14.942522 Wet 10100223 1327 4.71E-07 ‐14.56841 Wet

10100202 698 3.32E‐07 ‐14.918131 Dry 10100202 541 4.92E‐07 ‐14.52479 Wet

10100202 10040002 3.53E-07 ‐14.856798 ESP 10100226 1398 4.95E-07 ‐14.51871 Dry

10100212 731 3.68E‐07 ‐14.814716 ESP 10100218 2088 5.36E‐07 ‐14.43913 FF

10100202 1563 3.70E-07 ‐14.809763 Dry 10100202 734 5.36E-07 ‐14.43822 FF

10100212 3197 3.73E-07 ‐14.801687 ESP 10100222 1832 5.82E-07 ‐14.3568 FF

10100222 1449 3.74E-07 ‐14.79901 Dry 10100223 1307 6.03E-07 ‐14.32135 Wet

10100218 1563 3.79E-07 ‐14.78573 Dry 10100202 1176 6.04E-07 ‐14.31969 Wet

10100212 1177 3.86E-07 ‐14.767428 Wet 10100222 1833 6.12E-07 ‐14.30653 FF

10100222 1854 3.95E-07 ‐14.74438 ESP 10100202 1187 6.20E-07 ‐14.29355 Wet

10100202 1004 4.06E-07 ‐14.716913 ESP 10100205 1346 6.28E‐07 ‐14.28073 Dry

10100202 2022 4.07E‐07 ‐14.714453 Dry 10100202 1185 6.49E-07 ‐14.24783 Wet

10100204 1113 4.15E-07 ‐14.694987 ESP 10100202 1244 6.66E-07 ‐14.22137 FF

10100203 1735 4.17E‐07 ‐14.690223 Dry 10100218 1310 6.78E‐07 ‐14.20412 FF

10100203 1734 4.53E‐07 ‐14.607035 Dry 10100202 1826 7.52E-07 ‐14.10053 Wet

10100223 1327 4.71E-07 ‐14.568408 Wet 10100202 63254 7.60E-07 ‐14.08995 FF

10100202 541 4.92E‐07 ‐14.524787 Wet 10100222 1841 8.16E-07 ‐14.01885 FF

10100226 1398 4.95E-07 ‐14.518708 Dry 10100202 18261 8.20E-07 ‐14.01396 Wet

10100201 902 5.12E-07 ‐14.484941 ESP 10100222 2206 1.05E‐06 ‐13.76672 Dry

10100218 2088 5.36E‐07 ‐14.439132 FF 10100202 1507 1.08E‐06 ‐13.73855 Dry

10100202 734 5.36E-07 ‐14.438222 FF 10100202 1330 1.11E-06 ‐13.71115 Wet

10100202 979 5.47E-07 ‐14.418817 ESP 10100226 1558 1.17E‐06 ‐13.65851 Wet

10100202 2276 5.59E-07 ‐14.397116 ESP 10100222 879456 1.45E‐06 ‐13.44395 FF

10100202 1906 5.67E‐07 ‐14.382907 ESP 10100202 8761 1.45E-06 ‐13.44395 Dry

10100222 1832 5.82E-07 ‐14.356795 FF 10100202 966 1.50E‐06 ‐13.41005 Wet

10100223 1307 6.03E-07 ‐14.321349 Wet 10100202 1654 1.50E‐06 ‐13.41005 FF

10100202 1176 6.04E-07 ‐14.319692 Wet 10100202 1915 2.47E-06 ‐12.91129 Wet
Antimony EF Development Data

SCC

submittal

ID

lb / 

mmBtuO2

Ln Sb

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

Ln Sb

#/mmBtu Controls

All Data Fabric Filter, Wet Scrubber & Dry Scrubber Data

10100222 1833 6.12E-07 ‐14.306534 FF 10100202 8761 2.77E-06 ‐12.79666 Dry

10100202 1187 6.20E-07 ‐14.293546 Wet

10100205 1346 6.28E‐07 ‐14.280726 Dry

10100202 1185 6.49E-07 ‐14.247833 Wet

10100202 1244 6.66E-07 ‐14.221367 FF

10100218 1310 6.78E‐07 ‐14.204119 FF

10100223 2009 7.00E-07 ‐14.172186 ESP

10100202 1989 7.00E‐07 ‐14.172186 ESP

10100222 2011 7.47E-07 ‐14.107201 ESP

10100202 1826 7.52E-07 ‐14.10053 Wet

10100202 63254 7.60E-07 ‐14.089947 FF

10100211 1642 7.76E‐07 ‐14.069113 ESP

10100226 1141 8.10E-07 ‐14.026232 ESP

10100223 2070 8.13E-07 ‐14.022535 ESP

10100222 1841 8.16E-07 ‐14.018851 FF

10100202 18261 8.20E-07 ‐14.013961 Wet

10100222 21351 8.20E-07 ‐14.013961 ESP

10100222 2135 8.86E-07 ‐13.936549 ESP

10100223 12861 9.60E-07 ‐13.856333 ESP

10100212 632 9.91E-07 ‐13.824551 ESP

10100222 2206 1.05E‐06 ‐13.76672 Dry

10100222 2013 1.07E‐06 ‐13.747852 ESP

10100202 1507 1.08E‐06 ‐13.73855 Dry

10100202 975 1.10E-06 ‐13.7202 ESP

10100202 1330 1.11E-06 ‐13.711151 Wet

10100226 1558 1.17E‐06 ‐13.658507 Wet

10100212 2103 1.29E‐06 ‐13.560868 ESP

10100222 879456 1.45E‐06 ‐13.443947 FF

10100202 8761 1.45E-06 ‐13.443947 Dry

10100202 2195 1.47E-06 ‐13.430248 ESP

10100201 903 1.48E-06 ‐13.423468 ESP

10100202 966 1.50E‐06 ‐13.410045 Wet

10100202 1654 1.50E‐06 ‐13.410045 FF

10100202 993 1.53E-06 ‐13.390243 ESP

10100203 892 1.55E-06 ‐13.377256 ESP

10100202 1636 1.73E‐06 ‐13.267389 ESP

10100223 828 2.17E-06 ‐13.040783 ESP

10100202 1845 2.28E-06 ‐12.991335 ESP

10100202 1915 2.47E-06 ‐12.911292 Wet

10100202 8761 2.77E-06 ‐12.796663 Dry

10100203 1809 2.91E-06 ‐12.747357 ESP

10100212 22791 3.54E-06 ‐12.551105 ESP

10100204 1111 5.27E-06 ‐12.15348 ESP

10100212 2279 1.06E-05 ‐11.452493 ESP

10100202 1471 1.15E-05 ‐11.373164 ESP
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.38 1.116 -12.8 34 2.317 2.97 3.3

2 -15.46 1.053 -17.94 1 2.353 2.95 3.29

3 -15.38 0.97 -13.44 33 2 2.94 3.27

4 -15.45 0.918 -13.74 32 1.861 2.91 3.25

5 -15.5 0.876 -13.77 31 1.982 2.91 3.24

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -14.13 1.1 -11.37 44 2.503 3.08 3.43

2 -14.19 1.041 -11.45 43 2.631 3.07 3.41

3 -14.26 0.96 -12.15 42 2.189 3.06 3.4

4 -14.31 0.912 -12.55 41 1.924 3.05 3.39

5 -14.35 0.879 -12.75 40 1.824 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Number of data = 21
10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.184

For 10% significance level, -13.41004545 is not an outlier.

For 5% significance level, -13.41004545 is not an outlier.

For 1% significance level, -13.41004545 is not an outlier.

Test Statistic: 0.177

For 10% significance level, -17.30882323 is not an outlier.

For 5% significance level, -17.30882323 is not an outlier.

For 1% significance level, -17.30882323 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.29 1.18 -18.44 1 2.67 2.99 3.33

2 -15.2 1.083 -12.91 36 2.115 2.98 3.32

3 -15.27 1.022 -13.41 35 1.819 2.97 3.3

4 -15.33 0.983 -17.02 2 1.728 2.95 3.29

5 -15.27 0.95 -17 3 1.819 2.94 3.27

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP Fabric Filter

Number of Valid Observations 44 21

Number of Distinct Observations 43 20

Minimum 1.2900E-7 3.0400E-8

Maximum 1.1500E-5 1.5000E-6

Mean 1.4472E-6 4.8590E-7

Median 7.6150E-7 3.1700E-7

SD 2.3448E-6 4.0981E-7

SE of Mean 3.5349E-7 8.9428E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 1.858 1.669 0.034

Welch-Satterthwaite (Unequal Varia 48.3 2.636 1.677 0.006

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 5.498E-12

Variance of Background 1.679E-13

Numerator DF Denominator DF F-Test Value P-Value

43 20 32.737 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Fabric Filte Wet Scrubber

Number of Valid Observations 21 36

Number of Distinct Observations 20 35

Minimum 3.0400E-8 9.7900E-9

Maximum 1.5000E-6 2.4700E-6

Mean 4.8590E-7 4.1872E-7

Median 3.1700E-7 2.3500E-7

SD 4.0981E-7 4.9907E-7

SE of Mean 8.9428E-8 8.3178E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 55 0.522 1.673 0.302

Welch-Satterthwaite (Unequal Varia 48.7 0.550 1.677 0.292

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.679E-13

Variance of Background 2.491E-13

Numerator DF Denominator DF F-Test Value P-Value

35 20 1.483 0.353

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Wet ScrubbFabric Filter

Number of Valid Observations 36 21

Number of Distinct Observations 35 20

Minimum 9.7900E-9 3.0400E-8

Maximum 2.4700E-6 1.5000E-6

Mean 4.1872E-7 4.8590E-7

Median 2.3500E-7 3.1700E-7

SD 4.9907E-7 4.0981E-7

SE of Mean 8.3178E-8 8.9428E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 55 -0.522 1.673 0.698

Welch-Satterthwaite (Unequal Varia 48.7 -0.550 1.677 0.708

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.491E-13

Variance of Background 1.679E-13

Numerator DF Denominator DF F-Test Value P-Value

35 20 1.483 0.353

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Fabric Filte Dry Scrubber

Number of Valid Observations 21 34

Number of Distinct Observations 20 34

Minimum 3.0400E-8 1.6200E-8

Maximum 1.5000E-6 2.7700E-6

Mean 4.8590E-7 3.8482E-7

Median 3.1700E-7 2.0900E-7

SD 4.0981E-7 5.3033E-7

SE of Mean 8.9428E-8 9.0951E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 53 0.746 1.674 0.230

Welch-Satterthwaite (Unequal Varia 50.2 0.792 1.676 0.216

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.679E-13

Variance of Background 2.812E-13

Numerator DF Denominator DF F-Test Value P-Value

33 20 1.675 0.227

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Dry Scrubb Fabric Filter

Number of Valid Observations 34 21

Number of Distinct Observations 34 20

Minimum 1.6200E-8 3.0400E-8

Maximum 2.7700E-6 1.5000E-6

Mean 3.8482E-7 4.8590E-7

Median 2.0900E-7 3.1700E-7

SD 5.3033E-7 4.0981E-7

SE of Mean 9.0951E-8 8.9428E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 53 -0.746 1.674 0.770

Welch-Satterthwaite (Unequal Varia 50.2 -0.792 1.676 0.784

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.812E-13

Variance of Background 1.679E-13

Numerator DF Denominator DF F-Test Value P-Value

33 20 1.675 0.227

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.25 1.142 -18.44 1 2.793 3.353 3.723

2 -15.22 1.104 -17.94 2 2.466 3.344 3.714

3 -15.19 1.071 -12.8 91 2.231 3.344 3.714

4 -15.21 1.046 -12.91 90 2.201 3.343 3.704

5 -15.24 1.022 -17.31 3 2.025 3.334 3.704

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
'lb/mmBtuO2' xesp

02468

1012141618202224262830

Frequency

Histogram for 'lb/mmBtuO2' xesp
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 91

Number of Distinct Observations 85

Minimum 9.7900E-9

Maximum 2.7700E-6

Mean of Raw Data 4.2156E-7

Standard Deviation of Raw Data 4.8865E-7

Kstar 0.981

Mean of Log Transformed Data -15.25

Standard Deviation of Log Transformed Data 1.148

Correlation Coefficient R 0.847

Approximate Shapiro Wilk Test Statistic 0.729

Approximate Shapiro Wilk P Value 0

Lilliefors Test Statistic 0.2

Lilliefors Critical (0.95) Value 0.0929

Correlation Coefficient R 0.983

A-D Test Statistic 0.588

A-D Critical (0.95) Value 0.783

K-S Test Statistic 0.0711

K-S Critical(0.95) Value 0.0965

Correlation Coefficient R 0.994

Approximate Shapiro Wilk Test Statistic 0.978

Approximate Shapiro Wilk P Value 0.466

Lilliefors Test Statistic 0.0564

Lilliefors Critical (0.95) Value 0.0929
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 34

Number of Distinct Observations 34

Minimum 1.6200E-8

Maximum 2.7700E-6

Mean of Raw Data 3.8482E-7

Standard Deviation of Raw Data 5.3033E-7

Kstar 0.885

Mean of Log Transformed Data -15.38

Standard Deviation of Log Transformed Data 1.133

Correlation Coefficient R 0.774

Shapiro Wilk Test Statistic 0.626

Shapiro Wilk Critical (0.95) Value 0.933

Approximate Shapiro Wilk P Value 9.913E-10

Lilliefors Test Statistic 0.272

Lilliefors Critical (0.95) Value 0.152

Correlation Coefficient R 0.947

A-D Test Statistic 0.675

A-D Critical (0.95) Value 0.778

K-S Test Statistic 0.13

K-S Critical(0.95) Value 0.156

Correlation Coefficient R 0.993

Shapiro Wilk Test Statistic 0.988

Shapiro Wilk Critical (0.95) Value 0.933

Approximate Shapiro Wilk P Value 0.966

Lilliefors Test Statistic 0.0759

Lilliefors Critical (0.95) Value 0.152

Number of Valid Observations 44
Number of Distinct Observations 43

Minimum 1.2900E-7

Maximum 1.1500E-5

Mean of Raw Data 1.4472E-6

Standard Deviation of Raw Data 2.3448E-6

Kstar 0.82

Mean of Log Transformed Data -14.13

Standard Deviation of Log Transformed Data 1.112

Correlation Coefficient R 0.718

Shapiro Wilk Test Statistic 0.535

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 2.665E-15

Lilliefors Test Statistic 0.301

Lilliefors Critical (0.95) Value 0.134

Correlation Coefficient R 0.916

A-D Test Statistic 1.645

A-D Critical (0.95) Value 0.784

K-S Test Statistic 0.155

K-S Critical(0.95) Value 0.138

Correlation Coefficient R 0.983

Shapiro Wilk Test Statistic 0.955

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 0.128

Lilliefors Test Statistic 0.0735

Lilliefors Critical (0.95) Value 0.134

Number of Valid Observations 21

Number of Distinct Observations 20

Minimum 3.0400E-8

Maximum 1.5000E-6

Mean of Raw Data 4.8590E-7

Standard Deviation of Raw Data 4.0981E-7

Kstar 1.136

Mean of Log Transformed Data -14.97

Standard Deviation of Log Transformed Data 1.095
Correlation Coefficient R 0.932

Shapiro Wilk Test Statistic 0.865

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.00625

Lilliefors Test Statistic 0.184

Lilliefors Critical (0.95) Value 0.193

Correlation Coefficient R 0.975

A-D Test Statistic 0.346

A-D Critical (0.95) Value 0.763

K-S Test Statistic 0.135

K-S Critical(0.95) Value 0.194

Correlation Coefficient R 0.964

Shapiro Wilk Test Statistic 0.924

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.0987

Lilliefors Test Statistic 0.163

Lilliefors Critical (0.95) Value 0.193

Number of Valid Observations 36

Number of Distinct Observations 35

Minimum 9.7900E-9

Maximum 2.4700E-6

Mean of Raw Data 4.1872E-7

Standard Deviation of Raw Data 4.9907E-7

Kstar 0.896

Mean of Log Transformed Data -15.29

Standard Deviation of Log Transformed Data 1.196

Correlation Coefficient R 0.845

Shapiro Wilk Test Statistic 0.731

Shapiro Wilk Critical (0.95) Value 0.935

Approximate Shapiro Wilk P Value 6.1962E-8

Lilliefors Test Statistic 0.229

Lilliefors Critical (0.95) Value 0.148

Correlation Coefficient R 0.985
A-D Test Statistic 0.38

A-D Critical (0.95) Value 0.778

K-S Test Statistic 0.131

K-S Critical(0.95) Value 0.151

Correlation Coefficient R 0.991

Shapiro Wilk Test Statistic 0.983

Shapiro Wilk Critical (0.95) Value 0.935

Approximate Shapiro Wilk P Value 0.895

Lilliefors Test Statistic 0.0848

Lilliefors Critical (0.95) Value 0.148
'lb/mmBtuO2' (dry)

0123456789

1011121314

Frequency

Histogram for 'lb/mmBtuO2' (dry)
'lb/mmBtuO2' (esp)

0123456789

101112131415161718192021

Frequency

Histogram for 'lb/mmBtuO2' (esp)
'lb/mmBtuO2' (ff)

0123456

Frequency

Histogram for 'lb/mmBtuO2' (ff)
'lb/mmBtuO2' (wet)

0123456789

1011

Frequency

Histogram for 'lb/mmBtuO2' (wet)
'lb/mmBtuO2' (dry) 34 1.6200E-8 2.7700E-6 3.8482E-7 2.0900E-7 2.812E-13 5.3033E-7 2.3566E-7 3.236 12.43 N/A

'lb/mmBtuO2' (esp) 44 1.2900E-7 1.1500E-5 1.4472E-6 7.6150E-7 5.498E-12 2.3448E-6 6.8718E-7 3.439 12.26 N/A

'lb/mmBtuO2' (ff) 21 3.0400E-8 1.5000E-6 4.8590E-7 3.1700E-7 1.679E-13 4.0981E-7 3.8933E-7 1.278 1.544 N/A

'lb/mmBtuO2' (wet) 36 9.7900E-9 2.4700E-6 4.1872E-7 2.3500E-7 2.491E-13 4.9907E-7 2.5137E-7 2.48 7.586 N/A

'lb/mmBtuO2' (dry) 34 4.2830E-8 4.9660E-8 8.4560E-8 9.9150E-8 2.0900E-7 4.0000E-7 4.3140E-7 9.2340E-7 1.2095E-6 2.3344E-6

'lb/mmBtuO2' (esp) 44 1.3765E-7 1.5030E-7 3.0900E-7 3.7175E-7 7.6150E-7 1.4725E-6 1.5380E-6 2.7210E-6 5.0105E-6 1.1113E-5

'lb/mmBtuO2' (ff) 21 4.3300E-8 5.4400E-8 1.2400E-7 2.3500E-7 3.1700E-7 6.6600E-7 6.7800E-7 8.1600E-7 1.4500E-6 1.4900E-6

'lb/mmBtuO2' (wet) 36 4.1150E-8 4.6500E-8 7.1500E-8 1.0875E-7 2.3500E-7 6.0325E-7 6.2000E-7 9.6500E-7 1.2525E-6 2.1305E-6
'lb/mmBtuO2' xesp 91 9.7900E-9 2.7700E-6 4.2156E-7 2.6900E-7 2.388E-13 4.8865E-7 2.9281E-7 2.564 8.238 N/A

'lb/mmBtuO2' xesp 91 4.0900E-8 4.6700E-8 9.1800E-8 1.1150E-7 2.6900E-7 5.5900E-7 6.2000E-7 1.0500E-6 1.4500E-6 2.5000E-6
Coal Fired Utility Boiler

Arsenic Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Arsenic Emissions Factor are presented

on the following page with four sets of columns for ESP only, Fabric Filter only, Dry Scrubbing

with either ESP or Fabric Filter and Wet Scrubbing with either ESP or Fabric Filter. Each set of

columns includes the Submission ID for each test data, the site specific emissions factor as

determined using the f factor method and the natural log of the site specific emissions factor.

Subsequent pages provide the assessments as performed using EPA’s statistical software

ProUCL. The assessments provide support for the development of separate national

emissions factors for ESP, Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate

emissions factors were developed since there is a statistical difference between ESP and

Fabric Filter controls, Fabric Filter and Dry Scrubbing controls, Fabric Filter and Wet Scrubbing

controls and Dry Scrubbing and Wet Scrubbing controls.

The resulting calculated arsenic emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP controls 1.25 x 10‐5 45 Highly Representative

Fabric Filter controls 9.72 x 10‐7 21 Highly Representative

Dry Scrubbing controls 1.61 x 10‐6 35 Highly Representative

Wet Scrubbing controls 2.52 x 10‐6 36 Highly Representative
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14

ESP 

SubID

ESP 

#/mmBtu

ESP 

LN#/mmB FF SubID FF 

#/mmBtu

FF LN 

#/mmBtu

Dry S 

SubID

Dry S 

#/mmBtu

Dry S LN 

#/mmBtu

Wet S 

SubID

Wet S 

#/mmBtu

Wet S LN 

#/mmBtu

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

1,471 0.0002758.19873946 63,2540.000004112.40208753 995 0000003894.75968649 1,330 0.00001321.23529373

9790.000003932.44687113 2,0950.000003262.63378336 1,563 0000003834.77523085 1,7380.000002452.91942253

1,111 0.00003340.30695466 1,606 0000004244.67353238 550,002 0000006594.23232537 1,7430.000003152.66810811

1,1130.0000088511.6350931 1,310 0000007114.15659341 1,942 0.00000016.11809565 994 0000004874.53500171

1,636 0.00003220.34354411 879,4560.000002183.03618568 698 0000003724.80437198 18,2610.000005472.11623194

902 0.00002370.65003551 1,841 0000007244.13847444 2,021 0000008543.97333464 1,8260.000003682.51259781

903 0.0000270.51967369 1,5970.000001533.39024282 8,761 0.000023310.6670572 1,6370.000002013.11737584

1,9060.000005012.20407464 1,835 0000002645.14724665 8,761 0.00001461.13448903 1,6380.00000248 -12.907252

2,279 0.00000074.17269948 2,170 0000002355.26167537 2,0220.000003992.43171933 1,1170.000005072.19216974

22,791 0000002335.27131177 1,244 0000006664.22136671 1,249 0000001145.98706739 1,1180.0000025512.8794172

1,0040.0000008214.0139615 735 0.00000035.01965733 1,349 0000007124.15518793 1,1190.000003532.55421269

3,1970.000000374.80976283 1,189 0000001645.62339941 1,7350.000001253.59121087 2,3190.000000295.05338491

1,845 0.00003350.30396512 1,190 00000036814.8151829 1,734 0000004534.60703545 2,055 0.00000372.50717774

1,854 0000002575.17418975 1,654 0000006624.22800028 1,060 0000007434.11256979 900 0000007284.13296479

828 0.00002380.64582498 1,832 0000005824.35679539 1,060 0000007434.11256979 966 0.00002310.67567794

2,070 0000008244.00909531 1,833 0000006124.30653355 1,611 0000002015.41996093 1,647 0000001335.83291671

9930.000005262.15537953 2,088 0000008294.00304568 1,052 0000001185.95258121 1,648 0000002015.41996093

10,040,002 0000009813.83469338 8450.000000314.98669354 1,488 0000001116.01373564 2,259 0000002585.17030625

2,276 0000005874.34824102 734 0000005364.43822219 1,9380.000001753.25589477 1,1770.000003522.55704957

2,274 0000001755.55847986 736 0000002975.03035251 1,133 0000003754.79509003 1,276 0000001855.50291001

1,809 0.00001621.03049932 5240.000001653.31473527 1,129 0000001145.98568872 1,1200.000001993.12737592

1,642 0.00000153.41004545 2,206 0.00000035.01948336 1,972 0000004057.02196386

2,1610.000001093.72933286 1,398 0000003035.00953303 1,176 00000083213.9994334

2,1950.000001473.43024816 1,568 0000002015.41996093 23,151 0000004636.88812388

941 0000002995.02282226 1,726 0000001885.48682387 23,152 0000002347.57052981

12,8610.000001643.32081432 947 00000072916.4341772 23,153 0000008256.31046754

2,302 0.00000113.72020038 1,909 0000006086.61567605 2,315 00000047816.8562402

1,1540.000001943.15282258 1,507 0000002365.25943403 1,515 00000024715.2138775

2,0090.000002832.77523385 560 0000000826.31654659 1,915 0.00000143.47903832

8940.000001793.23329494 565 0000007766.37169841 1,5580.000002872.76119853

1,9020.000002243.00903469 134,6110.000001393.48620681 1,3070.000001413.47192085

2,1350.000002083.08314266 1,346,111 0000009773.83877918 1,327 0000002935.04309323

21,3510.000005472.11623194 13,461 00000034214.8884551 2,239 0000006324.27437644

8920.000006791.90005962 1,346 0000003334.91512335 1,185 0000006494.24783312

1,1410.000005292.14969231 1,449 0000003714.80706377 1,187 0000005684.38114442

1,989 0.00000193.17365667 5410.000003522.55704957

1,0210.000000245.24366216

975 0.00001041.47370475

2,1030.000000354.86533268

2,0130.000003052.70036897

2,0110.000001093.72933286

10,040,004 0000001735.56997424

2,278 0000003974.73932956

632 0.00001391.18362172

7310.000001263.58439884
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 1

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.93 1.686 -8.199 1 2.808 3.09 3.44

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Number of data = 21

10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.231

For 10% significance level, -12.40208753 is not an outlier.

For 5% significance level, -12.40208753 is not an outlier.

For 1% significance level, -12.40208753 is not an outlier.

Test Statistic: 0.184

For 10% significance level, -15.62339941 is not an outlier.

For 5% significance level, -15.62339941 is not an outlier.

For 1% significance level, -15.62339941 is not an outlier.
Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -14.71 1.356 -10.67 7 2.979 2.98 3.32

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.99 1.685 -17.57 25 2.124 2.99 3.33

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Greater Than or Equal to Background Mean (Form 2)

Alternative Hypothesis Site or AOC Mean Less Than the Background Mean

Site Background

Number of Valid Observations 45 21

Number of Distinct Observations 44 21

Minimum 1.7300E-7 1.6400E-7

Maximum 2.7500E-4 4.1100E-6

Mean 1.2469E-5 9.7210E-7

Median 1.9000E-6 6.1200E-7

SD 4.1184E-5 1.0448E-6

SE of Mean 6.1393E-6 2.2799E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 64 1.274 -1.669 0.896

Welch-Satterthwaite (Unequal Varia 44.1 1.871 -1.680 0.966

Pooled SD: 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site >= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site >= Background

Variance of Site 1.6961E-9

Variance of Background 1.092E-12

Numerator DF Denominator DF F-Test Value P-Value

44 20 1553.794 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Greater Than or Equal to Background Mean (Form 2)

Alternative Hypothesis Site or AOC Mean Less Than the Background Mean

Site Background

Number of Valid Observations 21 35

Number of Distinct Observations 21 32

Minimum 1.6400E-7 6.0800E-8

Maximum 4.1100E-6 2.3300E-5

Mean 9.7210E-7 1.6076E-6

Median 6.1200E-7 3.7100E-7

SD 1.0448E-6 4.5160E-6

SE of Mean 2.2799E-7 7.6334E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 54 -0.633 -1.674 0.265

Welch-Satterthwaite (Unequal Varia 39.8 -0.798 -1.684 0.215

Pooled SD: 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site >= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site >= Background

Variance of Site 1.092E-12

Variance of Background 2.039E-11

Numerator DF Denominator DF F-Test Value P-Value

34 20 18.683 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Greater Than or Equal to Background Mean (Form 2)

Alternative Hypothesis Site or AOC Mean Less Than the Background Mean

Site Background

Number of Valid Observations 21 36

Number of Distinct Observations 21 35

Minimum 1.6400E-7 2.3400E-8

Maximum 4.1100E-6 2.3100E-5

Mean 9.7210E-7 2.5234E-6

Median 6.1200E-7 1.1160E-6

SD 1.0448E-6 4.3111E-6

SE of Mean 2.2799E-7 7.1851E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 55 -1.616 -1.673 0.056

Welch-Satterthwaite (Unequal Varia 41.7 -2.058 -1.682 0.023

Pooled SD: 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site >= Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site < Background

Variance of Site 1.092E-12

Variance of Background 1.859E-11

Numerator DF Denominator DF F-Test Value P-Value

35 20 17.026 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Greater Than or Equal to Background Mean (Form 2)

Alternative Hypothesis Site or AOC Mean Less Than the Background Mean

Site Background

Number of Valid Observations 35 36

Number of Distinct Observations 32 35

Minimum 6.0800E-8 2.3400E-8

Maximum 2.3300E-5 2.3100E-5

Mean 1.6076E-6 2.5234E-6

Median 3.7100E-7 1.1160E-6

SD 4.5160E-6 4.3111E-6

SE of Mean 7.6334E-7 7.1851E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 69 -0.874 -1.667 0.193

Welch-Satterthwaite (Unequal Varia 68.6 -0.874 -1.667 0.193

Pooled SD: 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site >= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site >= Background

Variance of Site 2.039E-11

Variance of Background 1.859E-11

Numerator DF Denominator DF F-Test Value P-Value

34 35 1.097 0.785

Conclusion with Alpha = 0.05

* Two variances appear to be equal
ESP #/mmBtu

ESP #/mmBtu

n = 45

Mean = -12.93

Sd = 1.705

Slope = 1.71

Intercept = -12.93

Correlation, R = 0.983

Shapiro-Wilk Test

Exact Test Statistic = 0.959

Critical Value(0.05) = 0.945

Data Appear Lognormal

Approx. Test Value = 0.959

p-Value = 0.175

-16.00

-15.00

-14.00

-13.00

-12.00

-11.00

-10.00

-9.00

-8.00

Ordered Observations

-2.0-1.5-1.0-0.5

0.00.51.01.52.02.5

Theoretical Quantiles (Standard Normal)

Lognormal Q-Q Plot for ESP #/mmBtu
FF #/mmBtu

FF #/mmBtu

n = 21

Mean = -14.25

Sd = 0.872

Slope = 0.881

Intercept = -14.25

Correlation, R = 0.975

Shapiro-Wilk Test

Exact Test Statistic = 0.945

Critical Value(0.05) = 0.908

Data Appear Lognormal

Approx. Test Value = 0.945

p-Value = 0.273

-15.90

-15.80

-15.70

-15.60

-15.50

-15.40

-15.30

-15.20

-15.10

-15.00

-14.90

-14.80

-14.70

-14.60

-14.50

-14.40

-14.30

-14.20

-14.10

-14.00

-13.90

-13.80

-13.70

-13.60

-13.50

-13.40

-13.30

-13.20

-13.10

-13.00

-12.90

-12.80

-12.70

-12.60

-12.50

-12.40

Ordered Observations

-2.0-1.5-1.0-0.5

0.00.51.01.52.0

Theoretical Quantiles (Standard Normal)

Lognormal Q-Q Plot for FF #/mmBtu
Dry S #/mmBtu

Dry S #/mmBtu

n = 35

Mean = -14.71

Sd = 1.376

Slope = 1.344

Intercept = -14.71

Correlation, R = 0.953

Shapiro-Wilk Test

Exact Test Statistic = 0.908

Critical Value(0.05) = 0.934

Data Not Lognormal

Approx. Test Value = 0.908

p-Value = 0.00689

-17.20

-17.00

-16.80

-16.60

-16.40

-16.20

-16.00

-15.80

-15.60

-15.40

-15.20

-15.00

-14.80

-14.60

-14.40

-14.20

-14.00

-13.80

-13.60

-13.40

-13.20

-13.00

-12.80

-12.60

-12.40

-12.20

-12.00

-11.80

-11.60

-11.40

-11.20

-11.00

-10.80

-10.60

Ordered Observations

-2.0-1.5-1.0-0.5

0.00.51.01.52.02.5

Theoretical Quantiles (Standard Normal)

Lognormal Q-Q Plot for Dry S #/mmBtu
Wet S #/mmBtu

Wet S #/mmBtu

n = 36

Mean = -13.99

Sd = 1.709

Slope = 1.72

Intercept = -13.99

Correlation, R = 0.983

Shapiro-Wilk Test

Exact Test Statistic = 0.957

Critical Value(0.05) = 0.935

Data Appear Lognormal

Approx. Test Value = 0.957

p-Value = 0.228

-18.20

-18.00

-17.80

-17.60

-17.40

-17.20

-17.00

-16.80

-16.60

-16.40

-16.20

-16.00

-15.80

-15.60

-15.40

-15.20

-15.00

-14.80

-14.60

-14.40

-14.20

-14.00

-13.80

-13.60

-13.40

-13.20

-13.00

-12.80

-12.60

-12.40

-12.20

-12.00

-11.80

-11.60

-11.40

-11.20

-11.00

-10.80

-10.60

Ordered Observations

-2.0-1.5-1.0-0.5

0.00.51.01.52.02.5

Theoretical Quantiles (Standard Normal)

Lognormal Q-Q Plot for Wet S #/mmBtu
FF #/mmBtu Wet S #/mmBtu Dry S #/mmBtu ESP #/mmBtu

0

2

4

6

8

10

12

14

16

18

20

22

24

26

28

30

32

34

36

Frequency

Histograms for FF #/mmBtu, Wet S ...
Coal Fired Utility Boiler

Beryllium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Beryllium Emissions Factor are

presented on the following page with three sets of columns. The left set of columns contains

data from all facilities and presents SCC, Submital ID, emissions factors, the natural log of the

emissions factor and the control measure employed. The middle set of columns contains the

same information but excludes the one data set which was identified as a potential outlier.

The right set of columns contains the same information but excluding the potential outlier

data and boilers with ESP control. The site specific emissions factors presented are as

determined using the f factor method rather than the emissions factor determined by

dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent

pages provide the assessments as performed using EPA’s statistical software ProUCL. The

assessments provide support for the development of a separate national emissions factors

for ESP, and for combining data for Fabric Filter, Dry Scrubbing and Wet Scrubbing controls.

Separate emissions factors were developed since there is a statistical difference between ESP

and Fabric Filter controls. A combined factor for Fabric Filter, Dry Scrubbing controls and Wet

Scrubbing controls are supported by analyses that show that there is no significant difference

in the average emissions factors for these categories.

  

The resulting calculated arsenic emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP controls 4.16 x 10‐7 43 Highly Representative

Fabric Filter, Dry Scrubbing &

Wet Scrubbing controls

1.18 x 10‐7 87 Highly Representative
Beryllium Emissions Test Data

SCC

submittal

ID

lb / 

mmBtuO2

LN

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

LN # /

mmBtu Controls SCC

submitta

ID

10100201 902 6.82E-07 ‐14.1982 ESP 10100201 902 6.82E-07 ‐14.1982 ESP 10100202 209

10100201 903 2.60E-06 ‐12.86 ESP 10100201 903 2.60E-06 ‐12.86 ESP 10100202 159

All Data Data less Potential Outlier Data less ES

10100202 1154 1.37E-07 ‐15.8033 ESP 10100202 1154 1.37E-07 ‐15.8033 ESP 10100202 124

10100202 1902 4.56E-08 ‐16.9034 ESP 10100202 1902 4.56E-08 ‐16.9034 ESP 10100202 16010100202 2276 1.02E-07 ‐16.0983 ESP 10100202 2276 1.02E-07 ‐16.0983 ESP 10100202 73

10100202 1636 1.25E‐06 ‐13.5924 ESP 10100202 1636 1.25E‐06 ‐13.5924 ESP 10100202 6325

10100202 1906 2.95E‐07 ‐15.0363 ESP 10100202 1906 2.95E‐07 ‐15.0363 ESP 10100202 118

10100202 10100202 1845 1 04E-06 1.04E 06 ‐13 7763 13.7763 ESP 10100202 10100202 1845 1 04E-06 1.04E 06 ‐13 7763 13.7763 ESP 10100202 10100202 11910100202 10040002 1.87E-07 ‐15.4922 ESP 10100202 10040002 1.87E-07 ‐15.4922 ESP 10100202 165

10100202 1004 1.20E-07 ‐15.9358 ESP 10100202 1004 1.20E-07 ‐15.9358 ESP 10100202 73

10100202 2195 3.66E-07 ‐14.8206 ESP 10100202 2195 3.66E-07 ‐14.8206 ESP 10100202 7310100202 1471 2.39E-07 ‐15.2468 ESP 10100202 1471 2.39E-07 ‐15.2468 ESP 10100218 131

10100202 993 9.09E-07 ‐13.9109 ESP 10100202 993 9.09E-07 ‐13.9109 ESP 10100218 208

10100202 979 9.51E-08 ‐16.1683 ESP 10100202 979 9.51E-08 ‐16.1683 ESP 10100218 52

10100202 975 1.17E-06 ‐13.6585 ESP 10100202 975 1.17E-06 ‐13.6585 ESP 10100221 217

10100202 1989 2.68E‐07 ‐15.1323 ESP 10100202 1989 2.68E‐07 ‐15.1323 ESP 10100221 183

10100202 2161 4.99E-08 ‐16.8132 ESP 10100202 2161 4.99E-08 ‐16.8132 ESP 10100222 183

10100203 894 4.98E-08 ‐16.8153 ESP 10100203 894 4.98E-08 ‐16.8153 ESP 10100222 18310100203 892 4.96E-07 ‐14.5167 ESP 10100203 892 4.96E-07 ‐14.5167 ESP 10100222 184

10100203 1809 1.04E-06 ‐13.7763 ESP 10100203 1809 1.04E-06 ‐13.7763 ESP 10100222 87945

10100204 1111 2.22E-06 ‐13.018 ESP 10100204 1111 2.22E-06 ‐13.018 ESP 10100222 84

10100204 1113 2.92E-07 ‐15.0465 ESP 10100204 1113 2.92E-07 ‐15.0465 ESP 10100202 113

10100211 1642 2.23E‐07 ‐15.3161 ESP 10100211 1642 2.23E‐07 ‐15.3161 ESP 10100202 11210100212 1021 5.99E-08 ‐16.63 ESP 10100212 1021 5.99E-08 ‐16.63 ESP 10100202 194

10100212 10100212 3197 3 10E 08 3.10E-08 ‐17 2893 17.2893 ESP 10100212 10100212 3197 3 10E 08 3.10E-08 ‐17 2893 17.2893 ESP 10100202 10100202 161

10100212 2103 2.01E‐07 ‐15.42 ESP 10100212 2103 2.01E‐07 ‐15.42 ESP 10100202 190

10100212 2279 1.64E-08 ‐17.9267 ESP 10100212 2279 1.64E-08 ‐17.9267 ESP 10100202 56

10100212 22791 2.24E-08 ‐17.6122 ESP 10100212 22791 2.24E-08 ‐17.6122 ESP 10100202 202

10100212 632 6.57E-07 ‐14.2356 ESP 10100212 632 6.57E-07 ‐14.2356 ESP 10100202 124

10100212 731 9.20E‐08 ‐16.201 ESP 10100212 731 9.20E‐08 ‐16.201 ESP 10100202 156

10100222 2013 3.24E‐07 ‐14.9425 ESP 10100222 2013 3.24E‐07 ‐14.9425 ESP 10100202 148

10100222 2011 1.87E-07 ‐15.4922 ESP 10100222 2011 1.87E-07 ‐15.4922 ESP 10100202 150

10100222 21351 2.87E-07 ‐15.0638 ESP 10100222 21351 2.87E-07 ‐15.0638 ESP 10100202 55000

10100222 2135 2.65E-07 ‐15.1435 ESP 10100222 2135 2.65E-07 ‐15.1435 ESP 10100202 87610100222 2274 5.62E-08 ‐16.6943 ESP 10100222 2274 5.62E-08 ‐16.6943 ESP 10100202 876

10100222 10100222 1854 1 65E-09 1.65E-09 ‐20 2225 20.2225 ESP 10100222 10100222 10040004 10040004 3 18E . ‐08 ‐17 2638 17.2638 ESP 10100202 10100202 9410100222 10040004 3.18E‐08 ‐17.2638 ESP 10100223 2009 2.35E-07 ‐15.2637 ESP 10100202 69

10100223 2009 2.35E-07 ‐15.2637 ESP 10100223 2302 6.87E‐08 ‐16.4935 ESP 10100202 202
Beryllium Emissions Test Data

SCC

submittal

ID

lb / 

mmBtuO2

LN

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

LN # /

mmBtu Controls SCC

submitta

ID

All Data Data less Potential Outlier Data less ES

10100223 2302 6.87E‐08 ‐16.4935 ESP 10100223 2070 2.02E-08 ‐17.7176 ESP 10100203 173

10100223 2070 2.02E-08 ‐17.7176 ESP 10100223 828 8.88E-07 ‐13.9343 ESP 10100203 173

10100223 828 8.88E-07 ‐13.9343 ESP 10100223 12861 2.41E-07 ‐15.2385 ESP 10100203 105

10100223 12861 2.41E-07 ‐15.2385 ESP 10100226 1141 2.44E-07 ‐15.2261 ESP 10100205 13410100226 1141 2.44E-07 ‐15.2261 ESP 10100226 2278 8.28E-08 ‐16.3068 ESP 10100205 13410100226 2278 8.28E-08 ‐16.3068 ESP 10100202 2095 5.17E-08 ‐16.7778 FF 10100205 134610100202 2095 5.17E-08 ‐16.7778 FF 10100202 1597 3.85E-08 ‐17.0726 FF 10100205 13461

10100202 10100202 1597 3 85E-08 3.85E-08 ‐17 0726 17.0726 FF 10100202 10100202 1244 1 67E-07 1.67E-07 ‐15 6077 15.6077 FF 10100205 10100205 134611

134611

10100202 1244 1.67E-07 ‐15.6077 FF 10100202 1606 4.95E-08 ‐16.8213 FF 10100212 56

10100202 1606 4.95E-08 ‐16.8213 FF 10100202 735 7.50E-08 ‐16.406 FF 10100218 15610100202 735 7.50E-08 ‐16.406 FF 10100202 63254 2.14E-07 ‐15.3573 FF 10100218 15610100202 63254 2.14E-07 ‐15.3573 FF 10100202 1189 1.07E-08 ‐18.353 FF 10100222 156

10100202 1189 1.07E-08 ‐18.353 FF 10100202 1190 1.76E-08 ‐17.8554 FF 10100222 144

10100202 1190 1.76E-08 ‐17.8554 FF 10100202 1654 1.88E‐08 ‐17.7894 FF 10100222 172

10100202 1654 1.88E‐08 ‐17.7894 FF 10100202 734 1.34E-07 ‐15.8245 FF 10100222 220

10100202 734 1.34E-07 ‐15.8245 FF 10100202 736 7.42E-08 ‐16.4166 FF 10100226 13910100202 736 7.42E-08 ‐16.4166 FF 10100218 1310 4.84E‐07 ‐14.5412 FF 10100226 193

10100218 1310 4.84E‐07 ‐14.5412 FF 10100218 2088 1.37E‐07 ‐15.8033 FF 10100201 231

10100218 2088 1.37E‐07 ‐15.8033 FF 10100218 524 6.20E‐08 ‐16.5961 FF 10100202 117

10100218 524 6.20E‐08 ‐16.5961 FF 10100221 2170 5.89E‐08 ‐16.648 FF 10100202 197

10100221 2170 5.89E‐08 ‐16.648 FF 10100221 1835 6.60E‐08 ‐16.5335 FF 10100202 19110100221 1835 6.60E‐08 ‐16.5335 FF 10100222 1832 1.46E-07 ‐15.7397 FF 10100202 11110100222 1832 1.46E-07 ‐15.7397 FF 10100222 1833 1.53E-07 ‐15.6928 FF 10100202 111

10100222 1833 1.53E-07 ‐15.6928 FF 10100222 1841 3.59E-08 ‐17.1425 FF 10100202 11110100222 10100222 1841 3 59E 08 3.59E-08 ‐17 1425 17.1425 FF 10100222 10100222 879456 3 09E 07 3.09E‐07 ‐14 9899 14.9899 FF 10100202 10100202 22310100222 879456 3.09E‐07 ‐14.9899 FF 10100222 845 4.24E‐08 ‐16.9761 FF 10100202 133

10100222 845 4.24E‐08 ‐16.9761 FF 10100202 1133 3.22E‐09 ‐19.5544 Dry 10100202 111

10100202 1133 3.22E‐09 ‐19.5544 Dry 10100202 1129 2.85E‐08 ‐17.372 Dry 10100202 16310100202 1129 2.85E‐08 ‐17.372 Dry 10100202 1942 2.46E‐08 ‐17.5205 Dry 10100202 163

10100202 1942 2.46E‐08 ‐17.5205 Dry 10100202 1611 5.03E-08 ‐16.8053 Dry 10100202 182

10100202 1611 5.03E-08 ‐16.8053 Dry 10100202 1909 5.89E‐08 ‐16.6474 Dry 10100202 205

10100202 1909 5.89E‐08 ‐16.6474 Dry 10100202 560 1.69E-08 ‐17.896 Dry 10100202 182610100202 560 1.69E-08 ‐17.896 Dry 10100202 2021 1.29E‐07 ‐15.8635 Dry 10100202 96

10100202 2021 1.29E‐07 ‐15.8635 Dry 10100202 1249 1.17E‐08 ‐18.2637 Dry 10100202 17310100202 1249 1.17E‐08 ‐18.2637 Dry 10100202 1563 9.26E-08 ‐16.195 Dry 10100202 174

10100202 10100202 1563 9 26E-08 9.26E 08 ‐16 195 . Dry 10100202 10100202 1488 4 39E . ‐09 ‐19 2439 19.2439 Dry 10100202 10100202 11810100202 1488 4.39E‐09 ‐19.2439 Dry 10100202 1507 5.56E‐08 ‐16.7051 Dry 10100202 118

10100202 1507 5.56E‐08 ‐16.7051 Dry 10100202 550002 2.00E-06 ‐13.1224 Dry 10100202 151
Beryllium Emissions Test Data

SCC

submittal

ID

lb / 

mmBtuO2

LN

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

LN # /

mmBtu Controls SCC

submitta

ID

All Data Data less Potential Outlier Data less ES

10100202 550002 2.00E-06 ‐13.1224 Dry 10100202 8761 6.02E-08 ‐16.6256 Dry 10100202 54

10100202 8761 6.02E-08 ‐16.6256 Dry 10100202 8761 1.57E-08 ‐17.9696 Dry 10100211 90

10100202 8761 1.57E-08 ‐17.9696 Dry 10100202 947 1.11E‐08 ‐18.3163 Dry 10100212 164

10100202 947 1.11E‐08 ‐18.3163 Dry 10100202 698 9.78E‐08 ‐16.1403 Dry 10100212 16410100202 698 9.78E‐08 ‐16.1403 Dry 10100202 2022 7.67E‐07 ‐14.0808 Dry 10100212 11710100202 2022 7.67E‐07 ‐14.0808 Dry 10100203 1735 1.04E‐07 ‐16.0765 Dry 10100222 22510100203 1735 1.04E‐07 ‐16.0765 Dry 10100203 1734 1.66E‐07 ‐15.6083 Dry 10100223 130

10100203 10100203 1734 1 66E . ‐07 ‐15 6083 15.6083 Dry 10100203 10100203 1052 2 04E . ‐08 ‐17 7077 17.7077 Dry 10100223 10100223 13210100203 1052 2.04E‐08 ‐17.7077 Dry 10100205 1349 1.59E‐08 ‐17.9569 Dry 10100224 112

10100205 1349 1.59E‐08 ‐17.9569 Dry 10100205 1346 1.55E‐07 ‐15.6798 Dry 10100226 155

10100205 1346 1.55E‐07 ‐15.6798 Dry 10100205 13461 8.96E‐08 ‐16.2279 Dry 10300222 127

10100205 13461 8.96E‐08 ‐16.2279 Dry 10100205 134611 3.95E‐07 ‐14.7444 Dry10100205 134611 3.95E‐07 ‐14.7444 Dry 10100205 1346111 1.78E‐07 ‐15.5415 Dry

10100205 1346111 1.78E‐07 ‐15.5415 Dry 10100212 565 1.49E-08 ‐18.0219 Dry

10100212 565 1.49E-08 ‐18.0219 Dry 10100218 1563 7.76E-08 ‐16.3717 Dry10100218 1563 7.76E-08 ‐16.3717 Dry 10100218 1563 8.46E-08 ‐16.2853 Dry10100218 1563 8.46E-08 ‐16.2853 Dry 10100222 1568 4.85E‐08 ‐16.8417 Dry

10100222 1568 4.85E‐08 ‐16.8417 Dry 10100222 1449 3.07E-08 ‐17.299 Dry

10100222 1449 3.07E-08 ‐17.299 Dry 10100222 1726 3.28E-08 ‐17.2328 Dry

10100222 1726 3.28E-08 ‐17.2328 Dry 10100222 2206 4.54E‐09 ‐19.2103 Dry

10100222 2206 4.54E‐09 ‐19.2103 Dry 10100226 1398 7.41E-08 ‐16.4179 Dry

10100226 1398 7.41E-08 ‐16.4179 Dry 10100226 1938 7.99E‐08 ‐16.3421 Dry

10100226 1938 7.99E‐08 ‐16.3421 Dry 10100201 2319 4.14E‐08 ‐17 Wet

10100201 2319 4.14E‐08 ‐17 Wet 10100202 1176 1.51E-07 ‐15.706 Wet

10100202 10100202 1176 1 51E 07 1.51E-07 ‐15 706 . W t e 10100202 10100202 1972 6 16E 09 6.16E-09 ‐18 9052 18.9052 W t e10100202 1972 6.16E-09 ‐18.9052 Wet 10100202 1915 1.78E-08 ‐17.8441 Wet

10100202 1915 1.78E-08 ‐17.8441 Wet 10100202 1117 1.45E-08 ‐18.0491 Wet10100202 1117 1.45E-08 ‐18.0491 Wet 10100202 1118 9.45E-09 ‐18.4773 Wet

10100202 1118 9.45E-09 ‐18.4773 Wet 10100202 1119 1.01E‐08 ‐18.4107 Wet

10100202 1119 1.01E‐08 ‐18.4107 Wet 10100202 2239 1.57E-08 ‐17.9696 Wet

10100202 2239 1.57E-08 ‐17.9696 Wet 10100202 1330 1.51E-07 ‐15.706 Wet

10100202 1330 1.51E-07 ‐15.706 Wet 10100202 1117 1.45E-08 ‐18.0491 Wet

10100202 1117 1.45E-08 ‐18.0491 Wet 10100202 1637 4.31E‐08 ‐16.9597 Wet

10100202 1637 4.31E‐08 ‐16.9597 Wet 10100202 1638 4.33E‐08 ‐16.9551 Wet10100202 1638 4.33E‐08 ‐16.9551 Wet 10100202 1826 2.04E-07 ‐15.4051 Wet

10100202 10100202 1826 2 04E 07 2.04E-07 ‐15 4051 15.4051 Wet 10100202 10100202 2055 4 38E 08 4.38E-08 ‐16 9436 16.9436 Wet10100202 2055 4.38E-08 ‐16.9436 Wet 10100202 18261 2.87E-07 ‐15.0638 Wet

10100202 18261 2.87E-07 ‐15.0638 Wet 10100202 966 4.88E‐07 ‐14.533 Wet
Beryllium Emissions Test Data

SCC

submittal

ID

lb / 

mmBtuO2

LN

#/mmBtu Controls SCC

submittal

ID

lb / 

mmBtuO2

LN # /

mmBtu Controls SCC

submitta

ID

All Data Data less Potential Outlier Data less ES

10100202 966 4.88E‐07 ‐14.533 Wet 10100202 1738 1.94E‐08 ‐17.758 Wet10100202 1738 1.94E‐08 ‐17.758 Wet 10100202 1743 2.92E‐08 ‐17.3491 Wet10100202 1743 2.92E‐08 ‐17.3491 Wet 10100202 1185 1.62E-07 ‐15.6357 Wet

10100202 1185 1.62E-07 ‐15.6357 Wet 10100202 1187 1.42E-07 ‐15.7674 Wet10100202 1187 1.42E-07 ‐15.7674 Wet 10100202 1515 6.16E‐08 ‐16.6026 Wet

10100202 1515 6.16E‐08 ‐16.6026 Wet 10100202 541 1.23E‐07 ‐15.9111 Wet10100202 541 1.23E‐07 ‐15.9111 Wet 10100211 900 1.85E‐08 ‐17.8055 Wet

10100211 10100211 900 1 85E . ‐08 ‐17 8055 17.8055 Wet 10100212 10100212 1647 4 21E-09 4.21E-09 ‐19 2858 19.2858 Wet10100212 1647 4.21E-09 ‐19.2858 Wet 10100212 1648 9.55E-09 ‐18.4667 Wet

10100212 1648 9.55E-09 ‐18.4667 Wet 10100212 1177 2.06E-07 ‐15.3954 Wet10100212 1177 2.06E-07 ‐15.3954 Wet 10100222 2259 6.44E-08 ‐16.5582 Wet10100222 2259 6.44E-08 ‐16.5582 Wet 10100223 1307 2.68E-07 ‐15.1323 Wet10100223 1307 2.68E-07 ‐15.1323 Wet 10100223 1327 7.31E-08 ‐16.4314 Wet

10100223 1327 7.31E-08 ‐16.4314 Wet 10100224 1120 4.78E-08 ‐16.8562 Wet

10100224 1120 4.78E-08 ‐16.8562 Wet 10100226 1558 1.13E‐07 ‐15.9959 Wet

10100226 1558 1.13E‐07 ‐15.9959 Wet 10300222 1276 1.20E‐08 ‐18.2384 Wet10300222 1276 1.20E‐08 ‐18.2384 Wet
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -16.82 1.373 -13.12 12 2.693 2.97 3.3

2 -16.93 1.25 -14.08 17 2.281 2.95 3.29

3 -17.02 1.159 -19.55 1 2.186 2.94 3.27

4 -16.94 1.08 -19.24 10 2.133 2.91 3.25

5 -16.86 1.009 -19.21 32 2.327 2.91 3.24

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.55 1.449 -20.22 36 3.224 3.08 3.43

2 -15.44 1.292 -12.86 2 1.999 3.07 3.41

3 -15.5 1.242 -13.02 21 2.002 3.06 3.4

4 -15.56 1.193 -17.93 27 1.98 3.05 3.39

5 -15.51 1.146 -17.72 40 1.931 3.04 3.38

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -20.22 is a Potential Statistical Outlier

For 1% Significance Level, there is no Potential Outlier
Number of data = 21

10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.251

For 10% significance level, -14.54118093 is not an outlier.

For 5% significance level, -14.54118093 is not an outlier.

For 1% significance level, -14.54118093 is not an outlier.

Test Statistic: 0.188

For 10% significance level, -18.3530221 is not an outlier.

For 5% significance level, -18.3530221 is not an outlier.

For 1% significance level, -18.3530221 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -16.91 1.247 -14.53 16 1.908 2.94 3.27

2 -16.99 1.21 -19.29 24 1.9 2.92 3.25

3 -16.91 1.151 -18.91 3 1.732 2.91 3.24

4 -16.84 1.107 -15.06 15 1.607 2.89 3.22

5 -16.91 1.072 -15.13 28 1.655 2.88 3.2

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP Fabric Filter

Number of Valid Observations 43 21

Number of Distinct Observations 41 21

Minimum 1.6400E-8 1.0700E-8

Maximum 2.6000E-6 4.8400E-7

Mean 4.1597E-7 1.1168E-7

Median 2.3500E-7 6.6000E-8

SD 5.6094E-7 1.1319E-7

SE of Mean 8.5543E-8 2.4700E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 62 2.452 1.670 0.009

Welch-Satterthwaite (Unequal Varia 48.6 3.418 1.677 0.001

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 3.147E-13

Variance of Background 1.281E-14

Numerator DF Denominator DF F-Test Value P-Value

42 20 24.559 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Fabric Filte Dry Scrubber

Number of Valid Observations 21 34

Number of Distinct Observations 21 34

Minimum 1.0700E-8 3.2200E-9

Maximum 4.8400E-7 2.0000E-6

Mean 1.1168E-7 1.4703E-7

Median 6.6000E-8 5.7250E-8

SD 1.1319E-7 3.5639E-7

SE of Mean 2.4700E-8 6.1121E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 53 -0.440 1.674 0.669

Welch-Satterthwaite (Unequal Varia 42.8 -0.536 1.681 0.703

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.281E-14

Variance of Background 1.270E-13

Numerator DF Denominator DF F-Test Value P-Value

33 20 9.914 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Dry ScrubberFabric Filter

Number of Valid Observations 34 21

Number of Distinct Observations 34 21

Minimum 3.2200E-9 1.0700E-8

Maximum 2.0000E-6 4.8400E-7

Mean 1.4703E-7 1.1168E-7

Median 5.7250E-8 6.6000E-8

SD 3.5639E-7 1.1319E-7

SE of Mean 6.1121E-8 2.4700E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 53 0.440 1.674 0.331

Welch-Satterthwaite (Unequal Varia 42.8 0.536 1.681 0.297

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.270E-13

Variance of Background 1.281E-14

Numerator DF Denominator DF F-Test Value P-Value

33 20 9.914 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Fabric Filte Wet Scrubber

Number of Valid Observations 21 32

Number of Distinct Observations 21 30

Minimum 1.0700E-8 4.2100E-9

Maximum 4.8400E-7 4.8800E-7

Mean 1.1168E-7 9.0455E-8

Median 6.6000E-8 4.3550E-8

SD 1.1319E-7 1.0783E-7

SE of Mean 2.4700E-8 1.9062E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 51 0.687 1.675 0.248

Welch-Satterthwaite (Unequal Varia 41.4 0.680 1.683 0.250

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.281E-14

Variance of Background 1.163E-14

Numerator DF Denominator DF F-Test Value P-Value

20 31 1.102 0.789

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Wet Scrubber Fabric Filter

Number of Valid Observations 32 21

Number of Distinct Observations 30 21

Minimum 4.2100E-9 1.0700E-8

Maximum 4.8800E-7 4.8400E-7

Mean 9.0455E-8 1.1168E-7

Median 4.3550E-8 6.6000E-8

SD 1.0783E-7 1.1319E-7

SE of Mean 1.9062E-8 2.4700E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 51 -0.687 1.675 0.752

Welch-Satterthwaite (Unequal Varia 41.4 -0.680 1.683 0.750

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.163E-14

Variance of Background 1.281E-14

Numerator DF Denominator DF F-Test Value P-Value

20 31 1.102 0.789

Conclusion with Alpha = 0.05

* Two variances appear to be equal
trim lb/mmBtuO2 (dry) trim lb/mmBtuO2 (esp) trim lb/mmBtuO2 (ff) trim lb/mm

02468

1012141618202224262830

Frequency

Histograms for trim lb/mmBtuO2 (dry), ...
Histogram of Beryllium Test Data

y requencF

trim lb/mmBtuO2 (dry) 34 3.2200E-9 2.0000E-6 1.4703E-7 5.7250E-8 1.270E-13 3.5639E-7 5.9970E-8 4.679 23.62 N/A

trim lb/mmBtuO2 (esp) 43 1.6400E-8 2.6000E-6 4.1597E-7 2.3500E-7 3.147E-13 5.6094E-7 2.4655E-7 2.433 6.446 N/A

trim lb/mmBtuO2 (ff) 21 1.0700E-8 4.8400E-7 1.1168E-7 6.6000E-8 1.281E-14 1.1319E-7 6.9978E-8 2.131 5.235 N/A

trim lb/mmBtuO2 (wet) 32 4.2100E-9 4.8800E-7 9.0455E-8 4.3550E-8 1.163E-14 1.0783E-7 4.8184E-8 2.018 4.899 N/A

trim lb/mmBtuO2 (dry) 34 4.4875E-9 1.1280E-8 1.5820E-8 1.7775E-8 5.7250E-8 9.6500E-8 1.1400E-7 1.7440E-7 5.2520E-7 1.5931E-6

trim lb/mmBtuO2 (esp) 43 2.3260E-8 3.4560E-8 5.7680E-8 7.5750E-8 2.3500E-7 4.3100E-7 6.7200E-7 1.0400E-6 1.2420E-6 2.4404E-6

trim lb/mmBtuO2 (ff) 21 1.7600E-8 1.8800E-8 3.8500E-8 4.2400E-8 6.6000E-8 1.4600E-7 1.5300E-7 2.1400E-7 3.0900E-7 4.4900E-7

trim lb/mmBtuO2 (wet) 32 7.9695E-9 9.6050E-9 1.4500E-8 1.5400E-8 4.3550E-8 1.4425E-7 1.5100E-7 2.0580E-7 2.7655E-7 4.2569E-7
trim lb/mmBtuO2 xesp 87 3.2200E-9 2.0000E-6 1.1769E-7 5.8900E-8 5.653E-14 2.3777E-7 6.4047E-8 6.236 46.75 N/A

trim lb/mmBtuO2 xesp 87 7.1470E-9 1.0940E-8 1.6100E-8 1.8650E-8 5.8900E-8 1.3550E-7 1.5100E-7 2.0920E-7 3.6920E-7 9.3962E-7
Coal Fired Utility Boiler

Cadmium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Cadmium Emissions Factor are

presented on the following page with two sets of columns. The left set of columns contains

data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the

emissions factor and the control measure employed. The right set of columns contains the

same information but excluding boilers with ESP control. The site specific emissions factors

presented are as determined using the f factor method rather than the emissions factor

determined by dividing the hourly emissions by the coal feed and associated proximate

analysis. Subsequent pages provide the assessments as performed using EPA’s statistical

software ProUCL. The assessments provide support for the development of a separate

national emissions factors for ESP, and for combining data for Fabric Filter, Dry Scrubbing and

Wet Scrubbing controls. Separate emissions factors were developed since there is a statistical

difference between ESP and Fabric Filter controls. A combined factor for Fabric Filter, Dry

Scrubbing controls and Wet Scrubbing controls are supported by analyses that show that

there is no significant difference in the average emissions factors for these categories.

  

The resulting calculated cadmium emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP controls 3.81 x 10‐7 44 Highly Representative

Fabric Filter, Dry Scrubbing &

Wet Scrubbing controls

2.20 x 10‐7 91 Highly Representative
Cadmium Test Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controlls SCC

submittal

ID

lb/mmBtu 

O2

LN

#/mmBtu Controlls

10100226 1938 2.48E‐07 ‐15.2112 Dry 10100226 1938 2.48E‐07 ‐15.2112 Dry

10100222 1726 3.28E-08 ‐17.2328 Dry 10100222 1726 3.28E-08 ‐17.2328 Dry

10100202 550002 7.95E-07 ‐14.0449 Dry 10100202 550002 7.95E-07 ‐14.0449 Dry

10100203 1735 1.56E‐07 ‐15.6754 Dry 10100203 1735 1.56E‐07 ‐15.6754 Dry

10100203 1734 2.20E‐07 ‐15.3274 Dry 10100203 1734 2.20E‐07 ‐15.3274 Dry

10100226 1398 3.58E-07 ‐14.8427 Dry 10100226 1398 3.58E-07 ‐14.8427 Dry

10100202 1909 3.53E‐07 ‐14.8568 Dry 10100202 1909 3.53E‐07 ‐14.8568 Dry

10100205 1349 6.60E‐08 ‐16.5336 Dry 10100205 1349 6.60E‐08 ‐16.5336 Dry

10100222 1568 4.16E‐07 ‐14.6926 Dry 10100222 1568 4.16E‐07 ‐14.6926 Dry

10100202 1611 2.73E-08 ‐17.4164 Dry 10100202 1611 2.73E-08 ‐17.4164 Dry

10100202 1563 1.06E-07 ‐16.0598 Dry 10100202 1563 1.06E-07 ‐16.0598 Dry

10100218 1563 7.81E-08 ‐16.3653 Dry 10100218 1563 7.81E-08 ‐16.3653 Dry

10100218 1563 1.07E-07 ‐16.0504 Dry 10100218 1563 1.07E-07 ‐16.0504 Dry

10100205 1346 6.57E‐08 ‐16.5382 Dry 10100205 1346 6.57E‐08 ‐16.5382 Dry

10100202 1133 7.86E‐08 ‐16.3592 Dry 10100202 1133 7.86E‐08 ‐16.3592 Dry

10100202 1129 1.17E‐07 ‐15.9582 Dry 10100202 1129 1.17E‐07 ‐15.9582 Dry

10100222 2206 2.48E‐08 ‐17.5124 Dry 10100222 2206 2.48E‐08 ‐17.5124 Dry

10100202 1942 9.07E‐07 ‐13.9131 Dry 10100202 1942 9.07E‐07 ‐13.9131 Dry

10100205 13461 6.02E‐08 ‐16.6256 Dry 10100205 13461 6.02E‐08 ‐16.6256 Dry

10100205 134611 1.15E‐07 ‐15.9783 Dry 10100205 134611 1.15E‐07 ‐15.9783 Dry

10100205 1346111 7.18E‐08 ‐16.4494 Dry 10100205 1346111 7.18E‐08 ‐16.4494 Dry

10100202 1488 4.65E‐08 ‐16.8838 Dry 10100202 1488 4.65E‐08 ‐16.8838 Dry

10100202 1507 1.85E‐07 ‐15.5029 Dry 10100202 1507 1.85E‐07 ‐15.5029 Dry

10100222 1449 8.54E-08 ‐16.2759 Dry 10100222 1449 8.54E-08 ‐16.2759 Dry

10100202 560 8.11E-07 ‐14.025 Dry 10100202 560 8.11E-07 ‐14.025 Dry

10100212 565 3.28E-07 ‐14.9303 Dry 10100212 565 3.28E-07 ‐14.9303 Dry

10100202 8761 1.75E-06 ‐13.2559 Dry 10100202 8761 1.75E-06 ‐13.2559 Dry

10100202 8761 1.06E-07 ‐16.0598 Dry 10100202 8761 1.06E-07 ‐16.0598 Dry

10100202 947 8.02E‐08 ‐16.3387 Dry 10100202 947 8.02E‐08 ‐16.3387 Dry

10100202 1249 5.39E‐08 ‐16.7361 Dry 10100202 1249 5.39E‐08 ‐16.7361 Dry

10100202 698 2.05E‐07 ‐15.4003 Dry 10100202 698 2.05E‐07 ‐15.4003 Dry

10100202 2022 4.79E‐07 ‐14.5516 Dry 10100202 2022 4.79E‐07 ‐14.5516 Dry

10100203 1052 1.42E‐07 ‐15.7674 Dry 10100203 1052 1.42E‐07 ‐15.7674 Dry

10100202 2021 2.29E‐07 ‐15.2895 Dry 10100202 2021 2.29E‐07 ‐15.2895 Dry

10100202 1176 1.52E-07 ‐15.6994 Wet 10100202 1176 1.52E-07 ‐15.6994 Wet

10100224 1120 2.44E-07 ‐15.2261 Wet 10100224 1120 2.44E-07 ‐15.2261 Wet

10100202 1117 1.12E-07 ‐16.0048 Wet 10100202 1117 1.12E-07 ‐16.0048 Wet

10100202 1118 4.37E-08 ‐16.9459 Wet 10100202 1118 4.37E-08 ‐16.9459 Wet

10100202 1119 7.84E‐08 ‐16.3614 Wet 10100202 1119 7.84E‐08 ‐16.3614 Wet

10100202 1915 4.91E-08 ‐16.8294 Wet 10100202 1915 4.91E-08 ‐16.8294 Wet

10100202 1738 1.46E‐07 ‐15.7397 Wet 10100202 1738 1.46E‐07 ‐15.7397 Wet

10100202 1743 5.23E‐08 ‐16.7663 Wet 10100202 1743 5.23E‐08 ‐16.7663 Wet

10100202 2239 6.35E-08 ‐16.5722 Wet 10100202 2239 6.35E-08 ‐16.5722 Wet

10100202 1826 1.88E-07 ‐15.4868 Wet 10100202 1826 1.88E-07 ‐15.4868 Wet

10100202 18261 1.84E-07 ‐15.5083 Wet 10100202 18261 1.84E-07 ‐15.5083 Wet

10100202 1117 1.12E-07 ‐16.0048 Wet 10100202 1117 1.12E-07 ‐16.0048 Wet

10100212 1177 3.34E-07 ‐14.9121 Wet 10100212 1177 3.34E-07 ‐14.9121 Wet

10100202 1330 4.89E-07 ‐14.5309 Wet 10100202 1330 4.89E-07 ‐14.5309 Wet

All Data FF, Dry Scrubbed & Wet Scrubbed
Cadmium Test Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controlls SCC

submittal

ID

lb/mmBtu 

O2

LN

#/mmBtu Controlls

All Data FF, Dry Scrubbed & Wet Scrubbed

10100202 1637 4.04E‐07 ‐14.7219 Wet 10100202 1637 4.04E‐07 ‐14.7219 Wet

10100202 1638 1.29E‐07 ‐15.8635 Wet 10100202 1638 1.29E‐07 ‐15.8635 Wet

10100202 966 3.15E‐07 ‐14.9707 Wet 10100202 966 3.15E‐07 ‐14.9707 Wet

10100202 2055 3.17E-07 ‐14.9644 Wet 10100202 2055 3.17E-07 ‐14.9644 Wet

10100211 900 8.97E‐08 ‐16.2268 Wet 10100211 900 8.97E‐08 ‐16.2268 Wet

10100202 1185 4.89E-07 ‐14.5309 Wet 10100202 1185 4.89E-07 ‐14.5309 Wet

10100202 1187 2.51E-07 ‐15.1978 Wet 10100202 1187 2.51E-07 ‐15.1978 Wet

10300222 1276 8.39E‐08 ‐16.2936 Wet 10300222 1276 8.39E‐08 ‐16.2936 Wet

10100212 1647 1.99E-08 ‐17.7325 Wet 10100212 1647 1.99E-08 ‐17.7325 Wet

10100212 1648 1.79E-08 ‐17.8385 Wet 10100212 1648 1.79E-08 ‐17.8385 Wet

10100202 1972 1.98E-08 ‐17.7376 Wet 10100202 1972 1.98E-08 ‐17.7376 Wet

10100202 541 1.24E‐07 ‐15.903 Wet 10100202 541 1.24E‐07 ‐15.903 Wet

10100223 23151 8.50E-08 ‐16.2806 Wet 10100223 23151 8.50E-08 ‐16.2806 Wet

10100223 23152 1.07E-07 ‐16.0504 Wet 10100223 23152 1.07E-07 ‐16.0504 Wet

10100223 23153 2.95E-07 ‐15.0363 Wet 10100223 23153 2.95E-07 ‐15.0363 Wet

10100223 2315 2.40E-07 ‐15.2426 Wet 10100223 2315 2.40E-07 ‐15.2426 Wet

10100201 2319 7.36E‐08 ‐16.4246 Wet 10100201 2319 7.36E‐08 ‐16.4246 Wet

10100222 2259 8.75E-08 ‐16.2516 Wet 10100222 2259 8.75E-08 ‐16.2516 Wet

10100223 1307 2.22E-07 ‐15.3206 Wet 10100223 1307 2.22E-07 ‐15.3206 Wet

10100223 1327 1.18E-07 ‐15.9526 Wet 10100223 1327 1.18E-07 ‐15.9526 Wet

10100202 1515 2.28E‐07 ‐15.2939 Wet 10100202 1515 2.28E‐07 ‐15.2939 Wet

10100226 1558 5.71E‐07 ‐14.3759 Wet 10100226 1558 5.71E‐07 ‐14.3759 Wet

10100222 1841 9.80E-08 ‐16.1383 FF 10100222 1841 9.80E-08 ‐16.1383 FF

10100222 879456 2.73E‐07 ‐15.1138 FF 10100222 879456 2.73E‐07 ‐15.1138 FF

10100202 2095 1.52E-07 ‐15.6994 FF 10100202 2095 1.52E-07 ‐15.6994 FF

10100202 1597 1.93E-08 ‐17.7632 FF 10100202 1597 1.93E-08 ‐17.7632 FF

10100202 1606 3.62E-08 ‐17.1342 FF 10100202 1606 3.62E-08 ‐17.1342 FF

10100202 1244 4.90E-07 ‐14.5281 FF 10100202 1244 4.90E-07 ‐14.5281 FF

10100222 1832 1.54E-07 ‐15.6863 FF 10100222 1832 1.54E-07 ‐15.6863 FF

10100222 1833 1.63E-07 ‐15.6295 FF 10100222 1833 1.63E-07 ‐15.6295 FF

10100202 1189 6.75E-08 ‐16.5111 FF 10100202 1189 6.75E-08 ‐16.5111 FF

10100202 1190 2.28E-07 ‐15.2939 FF 10100202 1190 2.28E-07 ‐15.2939 FF

10100202 735 1.03E-07 ‐16.0858 FF 10100202 735 1.03E-07 ‐16.0858 FF

10100218 2088 1.62E‐07 ‐15.6357 FF 10100218 2088 1.62E‐07 ‐15.6357 FF

10100222 845 8.19E‐08 ‐16.3178 FF 10100222 845 8.19E‐08 ‐16.3178 FF

10100218 1310 1.69E‐07 ‐15.5934 FF 10100218 1310 1.69E‐07 ‐15.5934 FF

10100202 63254 4.44E-07 ‐14.6274 FF 10100202 63254 4.44E-07 ‐14.6274 FF

10100221 2170 4.17E‐07 ‐14.6905 FF 10100221 2170 4.17E‐07 ‐14.6905 FF

10100221 1835 4.80E‐07 ‐14.5489 FF 10100221 1835 4.80E‐07 ‐14.5489 FF

10100202 1654 1.49E‐07 ‐15.7193 FF 10100202 1654 1.49E‐07 ‐15.7193 FF

10100218 524 2.39E‐07 ‐15.2468 FF 10100218 524 2.39E‐07 ‐15.2468 FF

10100202 734 5.50E-07 ‐14.4134 FF 10100202 734 5.50E-07 ‐14.4134 FF

10100202 736 7.42E-08 ‐16.4166 FF 10100202 736 7.42E-08 ‐16.4166 FF

10100223 2009 5.57E-07 ‐14.4007 ESP

10100226 1141 3.93E-07 ‐14.7495 ESP

10100202 1154 1.70E-07 ‐15.5875 ESP

10100212 1021 2.67E-07 ‐15.1377 ESP

10100202 993 3.17E-07 ‐14.9644 ESP
Cadmium Test Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controlls SCC

submittal

ID

lb/mmBtu 

O2

LN

#/mmBtu Controlls

All Data FF, Dry Scrubbed & Wet Scrubbed

10100202 1902 1.39E-07 ‐15.7888 ESP

10100204 1111 1.45E-06 ‐13.4439 ESP

10100204 1113 1.55E-06 ‐13.3773 ESP

10100222 21351 1.84E-07 ‐15.5083 ESP

10100222 2135 5.99E-07 ‐14.328 ESP

10100212 3197 8.56E-08 ‐16.2736 ESP

10100202 975 4.06E-07 ‐14.7169 ESP

10100202 1471 2.66E-07 ‐15.1398 ESP

10100202 1845 1.03E-06 ‐13.786 ESP

10100222 1854 8.72E-08 ‐16.2551 ESP

10100202 1636 1.87E‐07 ‐15.4922 ESP

10100203 894 8.87E-08 ‐16.238 ESP

10100222 2274 7.06E-07 ‐14.1637 ESP

10100202 2276 2.90E-07 ‐15.0534 ESP

10100223 2070 9.12E-08 ‐16.2102 ESP

10100203 892 4.72E-07 ‐14.5663 ESP

10100223 828 2.14E-07 ‐15.3573 ESP

10100222 2013 4.17E‐07 ‐14.6902 ESP

10100222 2011 1.93E-07 ‐15.4606 ESP

10100223 12861 2.40E-07 ‐15.2426 ESP

10100202 1989 2.83E‐07 ‐15.0778 ESP

10100212 2103 2.94E‐07 ‐15.0397 ESP

10100202 2195 3.66E-07 ‐14.8206 ESP

10100202 2161 3.49E-08 ‐17.1708 ESP

10100211 1642 2.63E‐07 ‐15.1511 ESP

10100203 1809 9.54E-07 ‐13.8626 ESP

10100202 979 7.93E-08 ‐16.35 ESP

10100201 902 4.93E-07 ‐14.5228 ESP

10100201 903 1.36E-06 ‐13.508 ESP

10100202 1004 1.19E-07 ‐15.9441 ESP

10100212 2279 1.70E-08 ‐17.8916 ESP

10100212 22791 6.95E-08 ‐16.4823 ESP

10100226 2278 7.72E-07 ‐14.0743 ESP

10100202 10040002 7.60E-08 ‐16.3925 ESP

10100223 2302 1.85E‐07 ‐15.5029 ESP

10100222 10040004 7.84E‐08 ‐16.3614 ESP

10100202 1906 3.45E‐07 ‐14.8797 ESP

10100212 632 3.69E-07 ‐14.8125 ESP

10100212 731 2.13E‐07 ‐15.3625 ESP
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_E

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.73 1.025 -13.26 27 2.408 2.97 3.3

2 -15.8 0.96 -13.91 18 1.966 2.95 3.29

3 -15.86 0.912 -14.02 25 2.01 2.94 3.27

4 -15.92 0.863 -14.04 3 2.171 2.91 3.25

5 -15.98 0.803 -17.51 17 1.907 2.91 3.24

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.21 0.972 -17.89 36 2.762 3.08 3.43

2 -15.15 0.902 -17.17 29 2.245 3.07 3.41

3 -15.1 0.855 -13.38 8 2.011 3.06 3.4

4 -15.14 0.821 -13.44 7 2.065 3.05 3.39

5 -15.18 0.785 -13.51 34 2.133 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Number of data = 21
10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.065

For 10% significance level, -14.41342565 is not an outlier.

For 5% significance level, -14.41342565 is not an outlier.

For 1% significance level, -14.41342565 is not an outlier.

Test Statistic: 0.390

For 10% significance level, -17.76316074 is not an outlier.

For 5% significance level, -17.76316074 is not an outlier.

For 1% significance level, -17.76316074 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.86 0.883 -17.84 24 2.247 2.99 3.33

2 -15.8 0.84 -17.74 25 2.308 2.98 3.32

3 -15.74 0.781 -17.73 23 2.549 2.97 3.3

4 -15.68 0.708 -14.38 36 1.844 2.95 3.29

5 -15.72 0.679 -16.95 4 1.802 2.94 3.27

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 44 21

Number of Distinct Observations 44 21

Minimum 1.7000E-8 1.9300E-8

Maximum 1.5500E-6 5.5000E-7

Mean 3.8115E-7 2.1667E-7

Median 2.6650E-7 1.6200E-7

SD 3.7399E-7 1.6292E-7

SE of Mean 5.6381E-8 3.5552E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 1.924 1.669 0.029

Welch-Satterthwaite (Unequal Varia 62.7 2.468 1.669 0.008

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 1.399E-13

Variance of Background 2.654E-14

Numerator DF Denominator DF F-Test Value P-Value

43 20 5.270 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 21 34

Number of Distinct Observations 21 33

Minimum 1.9300E-8 2.4800E-8

Maximum 5.5000E-7 1.7500E-6

Mean 2.1667E-7 2.6189E-7

Median 1.6200E-7 1.1600E-7

SD 1.6292E-7 3.4818E-7

SE of Mean 3.5552E-8 5.9713E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 53 -0.557 1.674 0.710

Welch-Satterthwaite (Unequal Varia 50.1 -0.651 1.676 0.741

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.654E-14

Variance of Background 1.212E-13

Numerator DF Denominator DF F-Test Value P-Value

33 20 4.568 0.001

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 34 21

Number of Distinct Observations 33 21

Minimum 2.4800E-8 1.9300E-8

Maximum 1.7500E-6 5.5000E-7

Mean 2.6189E-7 2.1667E-7

Median 1.1600E-7 1.6200E-7

SD 3.4818E-7 1.6292E-7

SE of Mean 5.9713E-8 3.5552E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 53 0.557 1.674 0.290

Welch-Satterthwaite (Unequal Varia 50.1 0.651 1.676 0.259

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.212E-13

Variance of Background 2.654E-14

Numerator DF Denominator DF F-Test Value P-Value

33 20 4.568 0.001

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 21 36

Number of Distinct Observations 21 34

Minimum 1.9300E-8 1.7900E-8

Maximum 5.5000E-7 5.7100E-7

Mean 2.1667E-7 1.8154E-7

Median 1.6200E-7 1.2650E-7

SD 1.6292E-7 1.4249E-7

SE of Mean 3.5552E-8 2.3749E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 55 0.852 1.673 0.199

Welch-Satterthwaite (Unequal Varia 37.6 0.822 1.686 0.208

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.654E-14

Variance of Background 2.030E-14

Numerator DF Denominator DF F-Test Value P-Value

20 35 1.307 0.476

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 36 21

Number of Distinct Observations 34 21

Minimum 1.7900E-8 1.9300E-8

Maximum 5.7100E-7 5.5000E-7

Mean 1.8154E-7 2.1667E-7

Median 1.2650E-7 1.6200E-7

SD 1.4249E-7 1.6292E-7

SE of Mean 2.3749E-8 3.5552E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 55 -0.852 1.673 0.801

Welch-Satterthwaite (Unequal Varia 37.6 -0.822 1.686 0.792

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.030E-14

Variance of Background 2.654E-14

Numerator DF Denominator DF F-Test Value P-Value

20 35 1.307 0.476

Conclusion with Alpha = 0.05

* Two variances appear to be equal



From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 34

Number of Distinct Observations 33

Minimum 2.4800E-8

Maximum 1.7500E-6

Mean of Raw Data 2.6189E-7

Standard Deviation of Raw Data 3.4818E-7

Kstar 0.942

Mean of Log Transformed Data -15.73

Standard Deviation of Log Transformed Data 1.041

Correlation Coefficient R 0.793

Shapiro Wilk Test Statistic 0.651

Shapiro Wilk Critical (0.95) Value 0.933

Approximate Shapiro Wilk P Value 3.1322E-9

Lilliefors Test Statistic 0.251

Lilliefors Critical (0.95) Value 0.152

Correlation Coefficient R 0.961

A-D Test Statistic 1.155

A-D Critical (0.95) Value 0.775

K-S Test Statistic 0.171

K-S Critical(0.95) Value 0.155

Correlation Coefficient R 0.988

Shapiro Wilk Test Statistic 0.969

Shapiro Wilk Critical (0.95) Value 0.933

Approximate Shapiro Wilk P Value 0.51

Lilliefors Test Statistic 0.119

Lilliefors Critical (0.95) Value 0.152

Number of Valid Observations 44
Number of Distinct Observations 44

Minimum 1.7000E-8

Maximum 1.5500E-6

Mean of Raw Data 3.8115E-7

Standard Deviation of Raw Data 3.7399E-7

Kstar 1.237

Mean of Log Transformed Data -15.21

Standard Deviation of Log Transformed Data 0.983

Correlation Coefficient R 0.881

Shapiro Wilk Test Statistic 0.775

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 2.0402E-8

Lilliefors Test Statistic 0.212

Lilliefors Critical (0.95) Value 0.134

Correlation Coefficient R 0.981

A-D Test Statistic 0.513

A-D Critical (0.95) Value 0.771

K-S Test Statistic 0.0957

K-S Critical(0.95) Value 0.136

Correlation Coefficient R 0.989

Shapiro Wilk Test Statistic 0.976

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 0.641

Lilliefors Test Statistic 0.0844

Lilliefors Critical (0.95) Value 0.134

Number of Valid Observations 21

Number of Distinct Observations 21

Minimum 1.9300E-8

Maximum 5.5000E-7

Mean of Raw Data 2.1667E-7

Standard Deviation of Raw Data 1.6292E-7

Kstar 1.532

Mean of Log Transformed Data -15.66

Standard Deviation of Log Transformed Data 0.878
Correlation Coefficient R 0.939

Shapiro Wilk Test Statistic 0.873

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.00906

Lilliefors Test Statistic 0.234

Lilliefors Critical (0.95) Value 0.193

Correlation Coefficient R 0.965

A-D Test Statistic 0.362

A-D Critical (0.95) Value 0.756

K-S Test Statistic 0.142

K-S Critical(0.95) Value 0.192

Correlation Coefficient R 0.976

Shapiro Wilk Test Statistic 0.95

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.341

Lilliefors Test Statistic 0.138

Lilliefors Critical (0.95) Value 0.193

Number of Valid Observations 36

Number of Distinct Observations 34

Minimum 1.7900E-8

Maximum 5.7100E-7

Mean of Raw Data 1.8154E-7

Standard Deviation of Raw Data 1.4249E-7

Kstar 1.527

Mean of Log Transformed Data -15.86

Standard Deviation of Log Transformed Data 0.895

Correlation Coefficient R 0.942

Shapiro Wilk Test Statistic 0.88

Shapiro Wilk Critical (0.95) Value 0.935

Approximate Shapiro Wilk P Value 7.7296E-4

Lilliefors Test Statistic 0.172

Lilliefors Critical (0.95) Value 0.148

Correlation Coefficient R 0.991
A-D Test Statistic 0.235

A-D Critical (0.95) Value 0.764

K-S Test Statistic 0.0857

K-S Critical(0.95) Value 0.149

Correlation Coefficient R 0.984

Shapiro Wilk Test Statistic 0.956

Shapiro Wilk Critical (0.95) Value 0.935

Approximate Shapiro Wilk P Value 0.218

Lilliefors Test Statistic 0.0861

Lilliefors Critical (0.95) Value 0.148
lb/mmBtuO2 (dry) 34 2.4800E-8 1.7500E-6 2.6189E-7 1.1600E-7 1.212E-13 3.4818E-7 1.0267E-7 2.871 9.761 N/A

lb/mmBtuO2 (esp) 44 1.7000E-8 1.5500E-6 3.8115E-7 2.6650E-7 1.399E-13 3.7399E-7 2.2090E-7 1.832 2.967 N/A

lb/mmBtuO2 (ff) 21 1.9300E-8 5.5000E-7 2.1667E-7 1.6200E-7 2.654E-14 1.6292E-7 1.1875E-7 0.883 -0.509 N/A

lb/mmBtuO2 (wet) 36 1.7900E-8 5.7100E-7 1.8154E-7 1.2650E-7 2.030E-14 1.4249E-7 1.1238E-7 1.149 0.729 N/A

lb/mmBtuO2 (dry) 34 3.0875E-8 4.8720E-8 6.5880E-8 7.3375E-8 1.1600E-7 3.0800E-7 3.5500E-7 7.0020E-7 8.4460E-7 1.4718E-6

lb/mmBtuO2 (esp) 44 7.0475E-8 7.8670E-8 9.0200E-8 1.3400E-7 2.6650E-7 4.3075E-7 5.1860E-7 8.9940E-7 1.3105E-6 1.5070E-6

lb/mmBtuO2 (ff) 21 3.6200E-8 6.7500E-8 8.1900E-8 9.8000E-8 1.6200E-7 2.7300E-7 4.1700E-7 4.8000E-7 4.9000E-7 5.3800E-7

lb/mmBtuO2 (wet) 36 1.9875E-8 4.6400E-8 7.3600E-8 8.2525E-8 1.2650E-7 2.4575E-7 2.9500E-7 3.6900E-7 4.8900E-7 5.4230E-7
trim lb/mmBtuO2 91 1.7900E-8 1.7500E-6 2.1967E-7 1.4600E-7 5.950E-14 2.4393E-7 1.2157E-7 3.416 17.11 N/A

trim lb/mmBtuO2 91 2.6050E-8 4.6500E-8 7.1800E-8 7.8500E-8 1.4600E-7 2.6200E-7 3.2800E-7 4.8000E-7 5.6050E-7 9.9130E-7
Coal Fired Utility Boiler

Chromium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Chromium Emissions Factor are

presented on the following page with two sets of columns for all of the test data. The left set

of columns present all the data while the right set of columns does not include data identified

as a potential outliers. Each set of columns includes the Submission ID for each test data, the

site specific emissions factor as determined using the f factor method, the type of control

(ESP only, Fabric Filter only, Dry Scrubbing with either ESP or Fabric Filter and Wet Scrubbing

with either ESP or Fabric Filter) and the natural log of the site specific emissions factor.

Subsequent pages provide the assessments as performed using EPA’s statistical software

ProUCL. The assessments provide support for the development of national emissions factors

for the ESPs and Fabric Filters combined, Dry Scrubbing and Wet Scrubbing controls. A single

emissions factor was developed for ESP and Fabric Filter controlled sources since there was

no statistical difference in the means of the two categories. Separate emissions factors were

developed for Dry Scrubbing and Wet Scrubbing controls since there is a statistical difference

between them and the combined ESP and Fabric Filter data, and there is a statistical

difference between them.

The resulting calculated chromium emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP and Fabric filter

controls

4.89 x 10‐5 65 Highly Representative

Dry Scrubbing controls 1.53 x 10‐6 31 Highly Representative

Wet Scrubbing controls 4.75 x 10‐6 35 Highly Representative
Utility Boiler

Method 29 Chromium

submittal_id 'lb/mmBtuO2' Control LN #/mmBtu submittal_id 'lb/mmBtuO2' Control LN #/mmBtu

1189 1.98E-07 Fabric Filter ‐15.43499881 1189 1.98E-07 PM Control ‐15.43499881

1190 7.52E-07 Fabric Filter ‐14.10052951 1190 7.52E-07 PM Control ‐14.10052951

63254 3.84E-06 Fabric Filter ‐12.47003819 63254 3.84E-06 PM Control ‐12.47003819

1244 2.89E-04 Fabric Filter ‐8.149613899 1244 2.89E-04 PM Control ‐8.149613899

735 5.17E-04 Fabric Filter ‐7.566741066 735 5.17E-04 PM Control ‐7.566741066

734 1.50E-04 Fabric Filter ‐8.805379551 734 1.50E-04 PM Control ‐8.805379551

736 1.91E-04 Fabric Filter ‐8.565455871 736 1.91E-04 PM Control ‐8.565455871

1597 5.71E-07 Fabric Filter ‐14.37587663 1597 5.71E-07 PM Control ‐14.37587663

1606 8.96E-06 Fabric Filter ‐11.62274033 1606 8.96E-06 PM Control ‐11.62274033

1654 1.26E‐06 Fabric Filter ‐13.58439884 1654 1.26E‐06 PM Control ‐13.58439884

2095 7.04E-07 Fabric Filter ‐14.16648748 2095 7.04E-07 PM Control ‐14.16648748

1310 4.99E‐05 Fabric Filter ‐9.905489555 1310 4.99E‐05 PM Control ‐9.905489555

524 1.57E‐06 Fabric Filter ‐13.36443494 524 1.57E‐06 PM Control ‐13.36443494

2088 3.11E‐06 Fabric Filter ‐12.68088783 2088 3.11E‐06 PM Control ‐12.68088783

2170 1.77E‐07 Fabric Filter ‐15.54935745 2170 1.77E‐07 PM Control ‐15.54935745

1835 4.17E‐07 Fabric Filter ‐14.68913805 1835 4.17E‐07 PM Control ‐14.68913805

1832 4.55E-07 Fabric Filter ‐14.60296842 1832 4.55E-07 PM Control ‐14.60296842

1833 5.68E-07 Fabric Filter ‐14.38114442 1833 5.68E-07 PM Control ‐14.38114442

845 1.16E‐06 Fabric Filter ‐13.66709055 845 1.16E‐06 PM Control ‐13.66709055

560 1.09E-06 Dry Scrubber ‐13.72933286 560 1.09E-06 Dry Scrubber ‐13.72933286

1507 1.66E‐07 Dry Scrubber ‐15.61127805 1507 1.66E‐07 Dry Scrubber ‐15.61127805

8761 2.48E-06 Dry Scrubber ‐12.907252 8761 2.48E-06 Dry Scrubber ‐12.907252

8761 2.08E-06 Dry Scrubber ‐13.08314266 8761 2.08E-06 Dry Scrubber ‐13.08314266

1611 2.51E-07 Dry Scrubber ‐15.1978129 1611 2.51E-07 Dry Scrubber ‐15.1978129

1563 3.78E-06 Dry Scrubber ‐12.48578655 1563 3.78E-06 Dry Scrubber ‐12.48578655

947 2.90E‐07 Dry Scrubber ‐15.05338491 947 2.90E‐07 Dry Scrubber ‐15.05338491

1249 8.23E‐07 Dry Scrubber ‐14.01030964 1249 8.23E‐07 Dry Scrubber ‐14.01030964

1133 5.45E‐07 Dry Scrubber ‐14.42286941 1133 5.45E‐07 Dry Scrubber ‐14.42286941

1129 2.87E‐07 Dry Scrubber ‐15.0652296 1129 2.87E‐07 Dry Scrubber ‐15.0652296

1942 1.47E‐06 Dry Scrubber ‐13.43024816 1942 1.47E‐06 Dry Scrubber ‐13.43024816

698 4.00E‐05 Dry Scrubber ‐10.1266311 2021 7.52E‐06 Dry Scrubber ‐11.79794442

2022 2.40E‐04 Dry Scrubber ‐8.334871635 1488 4.40E‐07 Dry Scrubber ‐14.63649111

2021 7.52E‐06 Dry Scrubber ‐11.79794442 1909 1.40E‐07 Dry Scrubber ‐15.78162341

1488 4.40E‐07 Dry Scrubber ‐14.63649111 1052 2.27E‐06 Dry Scrubber ‐12.99573073

1909 1.40E‐07 Dry Scrubber ‐15.78162341 1346 1.02E‐06 Dry Scrubber ‐13.79570793

1052 2.27E‐06 Dry Scrubber ‐12.99573073 13461 9.97E‐07 Dry Scrubber ‐13.81851507

1346 1.02E‐06 Dry Scrubber ‐13.79570793 134611 1.86E‐06 Dry Scrubber ‐13.19493407

13461 9.97E‐07 Dry Scrubber ‐13.81851507 1346111 1.22E‐06 Dry Scrubber ‐13.6166597

134611 1.86E‐06 Dry Scrubber ‐13.19493407 1349 1.51E‐06 Dry Scrubber ‐13.40340091

1346111 1.22E‐06 Dry Scrubber ‐13.6166597 565 1.80E-06 Dry Scrubber ‐13.22772389

1349 1.51E‐06 Dry Scrubber ‐13.40340091 1563 9.49E-07 Dry Scrubber ‐13.86785704

565 1.80E-06 Dry Scrubber ‐13.22772389 1563 1.51E-06 Dry Scrubber ‐13.40340091

1563 9.49E-07 Dry Scrubber ‐13.86785704 1449 1.50E-06 Dry Scrubber ‐13.41004545

1563 1.51E-06 Dry Scrubber ‐13.40340091 2206 3.81E‐06 Dry Scrubber ‐12.47788137

1449 1.50E-06 Dry Scrubber ‐13.41004545 1568 2.43E‐06 Dry Scrubber ‐12.9276193

2206 3.81E‐06 Dry Scrubber ‐12.47788137 1398 1.24E-06 Dry Scrubber ‐13.60039918

1568 2.43E‐06 Dry Scrubber ‐12.9276193 1841 2.19E-06 PM Control ‐13.03160901

1398 1.24E-06 Dry Scrubber ‐13.60039918 879456 3.43E‐05 PM Control ‐10.2803652

1841 2.19E-06 Fabric Filter ‐13.03160901 1726 3.22E-07 Dry Scrubber ‐14.94871429

879456 3.43E‐05 Fabric Filter ‐10.2803652 1938 2.19E-06 Dry Scrubber ‐13.03160901

1726 3.22E-07 Dry Scrubber ‐14.94871429 2319 2.26E‐06 Wet Scrubber ‐13.00014574

1938 2.19E-06 Dry Scrubber ‐13.03160901 1515 2.60E‐07 Wet Scrubber ‐15.16258421

2319 2.26E‐06 Wet Scrubber ‐13.00014574 1972 2.76E-07 Wet Scrubber ‐15.10286497

1515 2.60E‐07 Wet Scrubber ‐15.16258421 541 5.69E‐05 Wet Scrubber ‐9.774215217

1972 2.76E-07 Wet Scrubber ‐15.10286497 1647 1.36E-07 Wet Scrubber ‐15.81061095

541 5.69E‐05 Wet Scrubber ‐9.774215217 1648 5.14E-07 Wet Scrubber ‐14.48104257
Utility Boiler

Method 29 Chromium

submittal_id 'lb/mmBtuO2' Control LN #/mmBtu submittal_id 'lb/mmBtuO2' Control LN #/mmBtu

1647 1.36E-07 Wet Scrubber ‐15.81061095 2259 6.89E-07 Wet Scrubber ‐14.18802457

1648 5.14E-07 Wet Scrubber ‐14.48104257 2315 3.73E-06 Wet Scrubber ‐12.49910232

2259 6.89E-07 Wet Scrubber ‐14.18802457 23151 1.48E-06 Wet Scrubber ‐13.42346847

2315 3.73E-06 Wet Scrubber ‐12.49910232 23152 1.14E-06 Wet Scrubber ‐13.6844823

23151 1.48E-06 Wet Scrubber ‐13.42346847 23153 3.72E-06 Wet Scrubber ‐12.50178689

23152 1.14E-06 Wet Scrubber ‐13.6844823 1327 1.50E-06 Wet Scrubber ‐13.41004545

23153 3.72E-06 Wet Scrubber ‐12.50178689 1176 4.62E-06 Wet Scrubber ‐12.28511585

1307 2.08E-04 Wet Scrubber ‐8.477972478 902 5.07E-06 PM Control ‐12.19216974

1327 1.50E-06 Wet Scrubber ‐13.41004545 903 1.57E-05 PM Control ‐11.06184985

1176 4.62E-06 Wet Scrubber ‐12.28511585 2276 1.62E-04 PM Control ‐8.727914223

902 5.07E-06 ESP ‐12.19216974 975 2.36E-05 PM Control ‐10.65426385

903 1.57E-05 ESP ‐11.06184985 1154 2.04E-06 PM Control ‐13.10256075

2276 1.62E-04 ESP ‐8.727914223 1845 1.33E-04 PM Control ‐8.92516143

975 2.36E-05 ESP ‐10.65426385 1636 1.10E‐05 PM Control ‐11.41761529

1154 2.04E-06 ESP ‐13.10256075 1989 4.00E‐06 PM Control ‐12.4292162

1845 1.33E-04 ESP ‐8.92516143 993 1.06E-05 PM Control ‐11.45465656

1636 1.10E‐05 ESP ‐11.41761529 2195 8.82E-06 PM Control ‐11.63848869

1989 4.00E‐06 ESP ‐12.4292162 2161 4.91E-07 PM Control ‐14.52682171

993 1.06E-05 ESP ‐11.45465656 979 5.84E-06 PM Control ‐12.05077976

2195 8.82E-06 ESP ‐11.63848869 1004 3.29E-06 PM Control ‐12.62462299

2161 4.91E-07 ESP ‐14.52682171 1471 1.75E-06 PM Control ‐13.25589477

979 5.84E-06 ESP ‐12.05077976 10040002 2.91E-06 PM Control ‐12.74735748

1004 3.29E-06 ESP ‐12.62462299 1902 1.35E-06 PM Control ‐13.51540597

1471 1.75E-06 ESP ‐13.25589477 1906 5.97E‐06 PM Control ‐12.02876363

10040002 2.91E-06 ESP ‐12.74735748 894 2.05E-06 PM Control ‐13.09767076

1902 1.35E-06 ESP ‐13.51540597 892 1.13E-05 PM Control ‐11.39070783

1906 5.97E‐06 ESP ‐12.02876363 1809 1.81E-05 PM Control ‐10.91959862

894 2.05E-06 ESP ‐13.09767076 1111 1.25E-04 PM Control ‐8.987196821

892 1.13E-05 ESP ‐11.39070783 1113 1.51E-05 PM Control ‐11.10081581

1809 1.81E-05 ESP ‐10.91959862 1642 1.80E‐06 PM Control ‐13.22772389

1111 1.25E-04 ESP ‐8.987196821 3197 1.68E-06 PM Control ‐13.29671676

1113 1.51E-05 ESP ‐11.10081581 632 2.81E-06 PM Control ‐12.78232607

1642 1.80E‐06 ESP ‐13.22772389 2103 6.78E‐07 PM Control ‐14.20411855

3197 1.68E-06 ESP ‐13.29671676 2279 2.61E-06 PM Control ‐12.85643668

632 2.81E-06 ESP ‐12.78232607 22791 7.85E-06 PM Control ‐11.75542262

2103 6.78E‐07 ESP ‐14.20411855 1021 5.70E-07 PM Control ‐14.37712454

2279 2.61E-06 ESP ‐12.85643668 731 1.04E‐05 PM Control ‐11.47092113

22791 7.85E-06 ESP ‐11.75542262 2274 1.61E-05 PM Control ‐11.03669129

1021 5.70E-07 ESP ‐14.37712454 2013 4.78E‐06 PM Control ‐12.25107001

731 1.04E‐05 ESP ‐11.47092113 2011 3.25E-06 PM Control ‐12.63685556

2274 1.61E-05 ESP ‐11.03669129 1854 1.54E-06 PM Control ‐13.38372814

2013 4.78E‐06 ESP ‐12.25107001 2135 1.56E-04 PM Control ‐8.765654551

2011 3.25E-06 ESP ‐12.63685556 21351 8.35E-04 PM Control ‐7.088078833

1854 1.54E-06 ESP ‐13.38372814 10040004 2.18E‐06 PM Control ‐13.03618568

2135 1.56E-04 ESP ‐8.765654551 2009 4.81E-06 PM Control ‐12.24481347

21351 8.35E-04 ESP ‐7.088078833 12861 3.14E-06 PM Control ‐12.67128776

10040004 2.18E‐06 ESP ‐13.03618568 828 2.20E-05 PM Control ‐10.7244681

2009 4.81E-06 ESP ‐12.24481347 2070 1.03E-06 PM Control ‐13.78595176

12861 3.14E-06 ESP ‐12.67128776 2302 3.32E‐06 PM Control ‐12.61554578

828 2.20E-05 ESP ‐10.7244681 1141 4.46E-06 PM Control ‐12.32036179

2070 1.03E-06 ESP ‐13.78595176 2278 2.65E-04 PM Control ‐8.235780732

2302 3.32E‐06 ESP ‐12.61554578 1735 1.18E‐06 Dry Scrubber ‐13.64746925

1141 4.46E-06 ESP ‐12.32036179 1734 4.76E‐07 Dry Scrubber ‐14.55780823

2278 2.65E-04 ESP ‐8.235780732 1558 4.23E‐06 Wet Scrubber ‐12.37330856

550002 8.67E-04 Dry Scrubber ‐7.050471581 1117 9.62E-06 Wet Scrubber ‐11.55166629

1735 1.18E‐06 Dry Scrubber ‐13.64746925 1118 5.86E-06 Wet Scrubber ‐12.04736095
Utility Boiler

Method 29 Chromium

submittal_id 'lb/mmBtuO2' Control LN #/mmBtu submittal_id 'lb/mmBtuO2' Control LN #/mmBtu

1734 4.76E‐07 Dry Scrubber ‐14.55780823 1119 6.75E‐06 Wet Scrubber ‐11.90596805

1558 4.23E‐06 Wet Scrubber ‐12.37330856 1117 9.62E-06 Wet Scrubber ‐11.55166629

1117 9.62E-06 Wet Scrubber ‐11.55166629 1826 7.10E-07 Wet Scrubber ‐14.15800087

1118 5.86E-06 Wet Scrubber ‐12.04736095 18261 1.67E-06 Wet Scrubber ‐13.30268693

1119 6.75E‐06 Wet Scrubber ‐11.90596805 1330 2.14E-06 Wet Scrubber ‐13.05470473

1117 9.62E-06 Wet Scrubber ‐11.55166629 1915 5.21E-07 Wet Scrubber ‐14.4675158

1826 7.10E-07 Wet Scrubber ‐14.15800087 1738 1.14E‐05 Wet Scrubber ‐11.3818972

18261 1.67E-06 Wet Scrubber ‐13.30268693 1743 1.40E‐06 Wet Scrubber ‐13.47903832

1330 2.14E-06 Wet Scrubber ‐13.05470473 966 8.65E‐06 Wet Scrubber ‐11.65795124

1915 5.21E-07 Wet Scrubber ‐14.4675158 1185 3.60E-06 Wet Scrubber ‐12.53457671

1738 1.14E‐05 Wet Scrubber ‐11.3818972 1187 1.54E-06 Wet Scrubber ‐13.38372814

1743 1.40E‐06 Wet Scrubber ‐13.47903832 2239 8.88E-07 Wet Scrubber ‐13.93429409

966 8.65E‐06 Wet Scrubber ‐11.65795124 2055 5.82E-06 Wet Scrubber ‐12.0542103

1185 3.60E-06 Wet Scrubber ‐12.53457671 1637 8.89E‐07 Wet Scrubber ‐13.9331686

1187 1.54E-06 Wet Scrubber ‐13.38372814 1638 9.02E‐07 Wet Scrubber ‐13.91891379

2239 8.88E-07 Wet Scrubber ‐13.93429409 900 3.49E‐06 Wet Scrubber ‐12.56560882

2055 5.82E-06 Wet Scrubber ‐12.0542103 1177 5.29E-06 Wet Scrubber ‐12.14969231

1637 8.89E‐07 Wet Scrubber ‐13.9331686 1120 3.58E-06 Wet Scrubber ‐12.54014776

1638 9.02E‐07 Wet Scrubber ‐13.91891379 1276 4.23E‐07 Wet Scrubber ‐14.67589366

900 3.49E‐06 Wet Scrubber ‐12.56560882

1177 5.29E-06 Wet Scrubber ‐12.14969231

1120 3.58E-06 Wet Scrubber ‐12.54014776

1276 4.23E‐07 Wet Scrubber ‐14.67589366
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coa

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.31 1.786 -7.05 32 3.507 2.97 3.3

2 -13.5 1.458 -8.335 13 3.545 2.95 3.29

3 -13.66 1.142 -10.13 12 3.097 2.94 3.27

4 -13.78 0.958 -15.78 16 2.09 2.91 3.25

5 -13.71 0.898 -11.8 14 2.131 2.91 3.24

For 5% significance level, there are 3 Potential Outliers

Therefore, Potential Statistical Outliers are

-7.05, -8.335, -10.13

For 1% Significance Level, there are 2 Potential Outliers

Therefore, Potential Statistical Outliers are

-7.05, -8.335

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -11.88 1.669 -7.088 36 2.87 3.08 3.43

2 -11.99 1.536 -8.236 44 2.443 3.07 3.41

3 -12.08 1.437 -8.728 3 2.331 3.06 3.4

4 -12.16 1.353 -8.766 35 2.51 3.05 3.39

5 -12.24 1.254 -8.925 6 2.647 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
Number of data = 21

10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.140

For 10% significance level, -7.566741066 is not an outlier.

For 5% significance level, -7.566741066 is not an outlier.

For 1% significance level, -7.566741066 is not an outlier.

Test Statistic: 0.123

For 10% significance level, -15.54935745 is not an outlier.

For 5% significance level, -15.54935745 is not an outlier.

For 1% significance level, -15.54935745 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.96 1.452 -8.478 12 3.084 2.99 3.33

2 -13.08 1.275 -9.774 4 2.595 2.98 3.32

3 -13.18 1.155 -15.81 5 2.276 2.97 3.3

4 -13.1 1.074 -15.16 2 1.919 2.95 3.29

5 -13.04 1.024 -15.1 3 2.017 2.94 3.27

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -8.478 is a Potential Statistical Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 21 44

Number of Distinct Observations 21 44

Minimum 1.7700E-7 4.9100E-7

Maximum 5.1700E-4 8.3500E-4

Mean 5.9863E-5 4.3636E-5

Median 1.5700E-6 4.7950E-6

SD 1.3006E-4 1.3386E-4

SE of Mean 2.8382E-5 2.0181E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 0.461 1.669 0.323

Welch-Satterthwaite (Unequal Varia 40.5 0.466 1.683 0.322

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.6916E-8

Variance of Background 1.7920E-8

Numerator DF Denominator DF F-Test Value P-Value

43 20 1.059 0.919

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 44 21

Number of Distinct Observations 44 21

Minimum 4.9100E-7 1.7700E-7

Maximum 8.3500E-4 5.1700E-4

Mean 4.3636E-5 5.9863E-5

Median 4.7950E-6 1.5700E-6

SD 1.3386E-4 1.3006E-4

SE of Mean 2.0181E-5 2.8382E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 -0.461 1.669 0.677

Welch-Satterthwaite (Unequal Varia 40.5 -0.466 1.683 0.678

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.7920E-8

Variance of Background 1.6916E-8

Numerator DF Denominator DF F-Test Value P-Value

43 20 1.059 0.919

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coal_Chromium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 31 65

Number of Distinct Observations 30 65

Minimum 1.4000E-7 1.7700E-7

Maximum 7.5200E-6 8.3500E-4

Mean 1.5370E-6 4.8879E-5

Median 1.2200E-6 3.8400E-6

SD 1.4656E-6 1.3185E-4

SE of Mean 2.6324E-7 1.6354E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 94 -1.994 1.661 0.975

Welch-Satterthwaite (Unequal Varia 64.0 -2.894 1.669 0.997

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.148E-12

Variance of Background 1.7384E-8

Numerator DF Denominator DF F-Test Value P-Value

64 30 8093.048 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coal_Chromium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 65 31

Number of Distinct Observations 65 30

Minimum 1.7700E-7 1.4000E-7

Maximum 8.3500E-4 7.5200E-6

Mean 4.8879E-5 1.5370E-6

Median 3.8400E-6 1.2200E-6

SD 1.3185E-4 1.4656E-6

SE of Mean 1.6354E-5 2.6324E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 94 1.994 1.661 0.025

Welch-Satterthwaite (Unequal Varia 64.0 2.894 1.669 0.003

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 1.7384E-8

Variance of Background 2.148E-12

Numerator DF Denominator DF F-Test Value P-Value

64 30 8093.048 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coal_Chromium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 35 65

Number of Distinct Observations 34 65

Minimum 1.3600E-7 1.7700E-7

Maximum 5.6900E-5 8.3500E-4

Mean 4.7491E-6 4.8879E-5

Median 2.1400E-6 3.8400E-6

SD 9.5665E-6 1.3185E-4

SE of Mean 1.6170E-6 1.6354E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 98 -1.973 1.661 0.974

Welch-Satterthwaite (Unequal Varia 65.2 -2.685 1.669 0.995

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 9.152E-11

Variance of Background 1.7384E-8

Numerator DF Denominator DF F-Test Value P-Value

64 34 189.958 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coal_Chromium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 65 35

Number of Distinct Observations 65 34

Minimum 1.7700E-7 1.3600E-7

Maximum 8.3500E-4 5.6900E-5

Mean 4.8879E-5 4.7491E-6

Median 3.8400E-6 2.1400E-6

SD 1.3185E-4 9.5665E-6

SE of Mean 1.6354E-5 1.6170E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 98 1.973 1.661 0.026

Welch-Satterthwaite (Unequal Varia 65.2 2.685 1.669 0.005

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 1.7384E-8

Variance of Background 9.152E-11

Numerator DF Denominator DF F-Test Value P-Value

64 34 189.958 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coa

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.78 0.943 -15.78 14 2.125 2.92 3.25

2 -13.71 0.898 -11.8 12 2.131 2.91 3.24

3 -13.78 0.837 -15.61 2 2.191 2.89 3.22

4 -13.71 0.773 -15.2 5 1.922 2.88 3.2

5 -13.66 0.729 -15.07 10 1.93 2.86 3.18

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.06 1.98 -7.088 57 2.509 3.23 3.59

2 -12.13 1.909 -7.567 5 2.392 3.22 3.585

3 -12.21 1.834 -8.15 4 2.212 3.22 3.58

4 -12.27 1.773 -8.236 65 2.276 3.21 3.57

5 -12.34 1.709 -8.565 7 2.207 3.205 3.565

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.08 1.257 -9.774 4 2.633 2.98 3.32

2 -13.18 1.155 -15.81 5 2.276 2.97 3.3

3 -13.1 1.074 -15.16 2 1.919 2.95 3.29

4 -13.04 1.024 -15.1 3 2.017 2.94 3.27

5 -12.97 0.968 -14.68 35 1.761 2.92 3.25

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_Assess\Coal_Chromium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 31 35

Number of Distinct Observations 30 34

Minimum 1.4000E-7 1.3600E-7

Maximum 7.5200E-6 5.6900E-5

Mean 1.5370E-6 4.7491E-6

Median 1.2200E-6 2.1400E-6

SD 1.4656E-6 9.5665E-6

SE of Mean 2.6324E-7 1.6170E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 64 -1.849 1.669 0.965

Welch-Satterthwaite (Unequal Varia 35.8 -1.961 1.688 0.971

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.148E-12

Variance of Background 9.152E-11

Numerator DF Denominator DF F-Test Value P-Value

34 30 42.604 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
C0 (dry scrubber) C0 (esp) C0 (fabric filter) C0 (wet s

0.00

Frequency

3.0

6.0

9.0

12.0

15.0

18.0

21.0

24.0

27.0

30.0

33.0

36.0

39.0

42.

Data

Histograms for C0 (dry scrubber), C0 ...
Coal Fired Utility Boiler

Cobalt Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Cobalt Emissions Factor are presented

on the following page with three sets of columns. The left set of columns contains data from

all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions

factor and the control measure employed. The middle set of columns contains the same

information except that the control identifier for ESP’s and FF’s are merged to ESP‐FF since

the analysis indicated that there was no statistical difference in average emissions. The right

set of columns contains the same information except that the Wet Scubber and Dry Scrubber

controls are merged since the analysis indicated that there was a statistical difference

between the particulate controls (ESP & FF) but there was no statistical difference between

the acid gas controls (Wet Scrubber & Dry Scrubber). The site specific emissions factors

presented are as determined using the f factor method rather than the emissions factor

determined by dividing the hourly emissions by the coal feed and associated proximate

analysis. Subsequent pages provide the assessments as performed using EPA’s statistical

software ProUCL. The assessments provide support for developing a combined national

emissions factors for ESP and Fabric Filters, and for developing a combined national emissions

factor for Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were

developed for the reasons cited earlier.

  

The resulting calculated cobalt emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP and FF controls 1.58 x 10‐6 65 Highly Representative

Dry Scrubbing & Wet

Scrubbing controls

5.10 x 10‐7 66 Highly Representative
Cobalt Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submitt

ID

10100202 1176 4.10E-07 ‐14.7071 Wet 10100222 1726 4.82E-08 ‐16.8479 Dry 10100212 164

10100202 1185 1.15E-07 ‐15.9783 Wet 10100202 1611 5.03E-08 ‐16.8053 Dry 10100202 118

10100202 1187 1.83E-07 ‐15.5138 Wet 10100212 565 5.63E-08 ‐16.6926 Dry 10100212 164

10300222 1276 1.85E‐07 ‐15.5029 Wet 10100202 560 5.82E-08 ‐16.6594 Dry 10100222 17210100202 1117 4.90E-07 ‐14.5289 Wet 10100202 1133 5.94E‐08 ‐16.6385 Dry 10100202 161

10100202 1118 3.21E-07 ‐14.9518 Wet 10100202 1249 7.70E‐08 ‐16.3795 Dry 10100202 119

10100202 1119 3.40E‐07 ‐14.8943 Wet 10100202 947 8.37E‐08 ‐16.296 Dry 10100212 56

10100202 1915 8.48E-08 ‐16.283 Wet 10100202 1942 9.11E‐08 ‐16.2113 Dry 10100202 5610100224 1120 1.97E-07 ‐15.4401 Wet 10100205 1349 1.20E‐07 ‐15.9358 Dry 10100221 217

10100202 1117 4.90E-07 ‐14.5289 Wet 10100202 8761 1.74E-07 ‐15.5642 Dry 10100202 113

10100212 1177 3.34E-07 ‐14.9121 Wet 10100203 1052 1.76E‐07 ‐15.5528 Dry 10100202 223

10100202 1637 1.43E‐07 ‐15.7604 Wet 10100202 1909 1.84E‐07 ‐15.5083 Dry 10100202 151

10100202 1638 1.54E‐07 ‐15.6863 Wet 10100202 1563 2.79E-07 ‐15.0921 Dry 10100202 216

10100202 1826 4.09E-07 ‐14.7096 Wet 10100203 1734 2.88E‐07 ‐15.0588 Dry 10100222 225

10100202 1330 4.05E-07 ‐14.7194 Wet 10100218 1563 2.91E-07 ‐15.0499 Dry 10100201 231

10100202 1738 9.53E‐07 ‐13.8637 Wet 10100222 1449 3.01E-07 ‐15.0162 Dry 10100202 12410100202 1743 2.94E‐07 ‐15.0397 Wet 10100205 13461 3.01E‐07 ‐15.0162 Dry 10100202 94

10100202 2239 6.03E-08 ‐16.6239 Wet 10100202 1129 3.53E‐07 ‐14.8575 Dry 10100202 191

10100202 2055 1.93E-07 ‐15.4606 Wet 10100202 1507 3.94E‐07 ‐14.7469 Dry 10100202 194

10100202 18261 4.10E-07 ‐14.7071 Wet 10100218 1563 4.37E-07 ‐14.6433 Dry 10100223 132

10100202 966 5.64E‐07 ‐14.3882 Wet 10100205 1346 4.42E‐07 ‐14.632 Dry 10100202 11810100211 900 1.26E‐07 ‐15.887 Wet 10100226 1398 5.88E-07 ‐14.3465 Dry 10100205 134

10100212 1647 1.43E-08 ‐18.063 Wet 10100202 8761 6.30E-07 ‐14.2775 Dry 10100212 102

10100212 1648 3.74E-08 ‐17.1016 Wet 10100205 1346111 6.40E‐07 ‐14.2618 Dry 10100211 90

10100223 1307 9.99E-06 ‐11.5139 Wet 10100203 1735 6.77E‐07 ‐14.2056 Dry 10100222 1004000

10100223 1327 1.13E-07 ‐15.9959 Wet 10100202 2021 6.88E‐07 ‐14.1895 Dry 10100202 163

10100201 2319 7.68E‐08 ‐16.3821 Wet 10100226 1938 7.14E‐07 ‐14.1528 Dry 10100202 159

10100222 2259 6.71E-08 ‐16.5171 Wet 10100222 2206 8.24E‐07 ‐14.0091 Dry 10100222 18310100202 1515 6.16E‐08 ‐16.6026 Wet 10100205 134611 1.25E‐06 ‐13.5924 Dry 10100222 18310100202 1972 1.05E-06 ‐13.7667 Wet 10100202 2022 3.08E‐06 ‐12.6906 Dry 10100202 163

10100223 2315 6.91E-07 ‐14.1851 Wet 10100202 550002 9.14E-06 ‐11.6029 Dry 10100202 876

10100223 23151 4.41E-07 ‐14.6342 Wet 10100202 1189 2.93E-08 ‐17.3457 ESP‐FF 10100203 105

10100223 23152 2.57E-07 ‐15.1742 Wet 10100202 1190 5.44E-08 ‐16.7269 ESP‐FF 10100202 118

10100223 23153 5.27E-07 ‐14.4561 Wet 10100221 2170 5.89E‐08 ‐16.648 ESP‐FF 10100202 190

All Cobalt Data Cobalt Data merged ESP/FF Cobalt D
Cobalt Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submitt

ID

All Cobalt Data Cobalt Data merged ESP/FF Cobalt D

10100202 541 6.55E‐07 ‐14.2386 Wet 10100202 2161 6.67E-08 ‐16.5231 ESP‐FF 10300222 127

10100226 1558 3.19E‐07 ‐14.9581 Wet 10100212 1021 1.26E-07 ‐15.8904 ESP‐FF 10100222 227

10100222 1726 4.82E-08 ‐16.8479 Dry 10100222 10040004 1.28E‐07 ‐15.8712 ESP‐FF 10100202 205

10100226 1938 7.14E‐07 ‐14.1528 Dry 10100202 1597 1.45E-07 ‐15.7465 ESP‐FF 10100224 11210100203 1735 6.77E‐07 ‐14.2056 Dry 10100222 1832 1.46E-07 ‐15.7397 ESP‐FF 10100202 165

10100203 1734 2.88E‐07 ‐15.0588 Dry 10100222 1833 1.53E-07 ‐15.6928 ESP‐FF 10100221 183

10100202 550002 9.14E-06 ‐11.6029 Dry 10100222 2274 1.89E-07 ‐15.4815 ESP‐FF 10100222 185

10100222 1449 3.01E-07 ‐15.0162 Dry 10100202 1654 1.99E‐07 ‐15.43 ESP‐FF 10100202 160

10100202 560 5.82E-08 ‐16.6594 Dry 10100221 1835 2.32E‐07 ‐15.2744 ESP‐FF 10100223 2315

10100212 565 5.63E-08 ‐16.6926 Dry 10100222 1854 2.45E-07 ‐15.222 ESP‐FF 10100202 15610100202 1133 5.94E‐08 ‐16.6385 Dry 10100202 1606 2.57E-07 ‐15.1742 ESP‐FF 10100202 100

10100202 1129 3.53E‐07 ‐14.8575 Dry 10100202 1004 2.88E-07 ‐15.0603 ESP‐FF 10100203 173

10100226 1398 5.88E-07 ‐14.3465 Dry 10100212 3197 3.00E-07 ‐15.0195 ESP‐FF 10100218 156

10100202 1942 9.11E‐08 ‐16.2113 Dry 10100202 2095 3.43E-07 ‐14.8855 ESP‐FF 10100202 174

10100202 1611 5.03E-08 ‐16.8053 Dry 10100222 1841 3.61E-07 ‐14.8344 ESP‐FF 10100212 319

10100202 1909 1.84E‐07 ‐15.5083 Dry 10100222 845 3.86E‐07 ‐14.7674 ESP‐FF 10100222 144

10100202 2021 6.88E‐07 ‐14.1895 Dry 10100212 22791 3.97E-07 ‐14.7392 ESP‐FF 10100205 1346

10100202 1249 7.70E‐08 ‐16.3795 Dry 10100202 2195 4.00E-07 ‐14.7318 ESP‐FF 10100226 15510100202 1563 2.79E-07 ‐15.0921 Dry 10100222 21351 4.10E-07 ‐14.7071 ESP‐FF 10100202 111

10100218 1563 2.91E-07 ‐15.0499 Dry 10100218 2088 4.11E‐07 ‐14.7047 ESP‐FF 10100212 11710100218 1563 4.37E-07 ‐14.6433 Dry 10100202 1471 4.14E-07 ‐14.6974 ESP‐FF 10100202 111

10100203 1052 1.76E‐07 ‐15.5528 Dry 10100223 12861 4.16E-07 ‐14.6926 ESP‐FF 10100202 209

10100205 1349 1.20E‐07 ‐15.9358 Dry 10100202 1902 4.44E-07 ‐14.6274 ESP‐FF 10100202 112

10100205 1346 4.42E‐07 ‐14.632 Dry 10100223 2070 4.53E-07 ‐14.6074 ESP‐FF 10100222 184

10100222 2206 8.24E‐07 ‐14.0091 Dry 10100223 2302 5.02E‐07 ‐14.5047 ESP‐FF 10100222 84

10100205 13461 3.01E‐07 ‐15.0162 Dry 10100202 10040002 6.09E-07 ‐14.3114 ESP‐FF 10100202 150

10100205 134611 1.25E‐06 ‐13.5924 Dry 10100211 1642 6.40E‐07 ‐14.2618 ESP‐FF 10100212 2279

10100205 1346111 6.40E‐07 ‐14.2618 Dry 10100203 894 6.47E-07 ‐14.2509 ESP‐FF 10100202 21910100202 1507 3.94E‐07 ‐14.7469 Dry 10100212 731 7.00E‐07 ‐14.1715 ESP‐FF 10100202 133

10100202 8761 6.30E-07 ‐14.2775 Dry 10100222 2011 7.63E-07 ‐14.086 ESP‐FF 10100202 18210100202 8761 1.74E-07 ‐15.5642 Dry 10100202 979 9.02E-07 ‐13.9187 ESP‐FF 10100222 2135

10100202 2022 3.08E‐06 ‐12.6906 Dry 10100202 1154 9.17E-07 ‐13.9022 ESP‐FF 10100202 117

10100202 947 8.37E‐08 ‐16.296 Dry 10100218 1310 1.13E‐06 ‐13.6933 ESP‐FF 10100202 182610100222 1841 3.61E-07 ‐14.8344 FF 10100202 63254 1.16E-06 ‐13.6671 ESP‐FF 10100218 208
Cobalt Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submitt

ID

All Cobalt Data Cobalt Data merged ESP/FF Cobalt D

10100222 879456 1.86E‐06 ‐13.1949 FF 10100204 1113 1.18E-06 ‐13.65 ESP‐FF 10100202 147

10100202 1244 4.11E-06 ‐12.4028 FF 10100212 632 1.23E-06 ‐13.6085 ESP‐FF 10100223 128610100222 1832 1.46E-07 ‐15.7397 FF 10100202 2276 1.27E-06 ‐13.5765 ESP‐FF 10100218 156

10100222 1833 1.53E-07 ‐15.6928 FF 10100202 1989 1.28E‐06 ‐13.5687 ESP‐FF 10100223 2315

10100221 1835 2.32E‐07 ‐15.2744 FF 10100202 1906 1.40E‐06 ‐13.479 ESP‐FF 10100205 134

10100202 1597 1.45E-07 ‐15.7465 FF 10100212 2279 1.41E‐06 ‐13.4711 ESP‐FF 10100202 190

10100218 1310 1.13E‐06 ‐13.6933 FF 10100223 2009 1.42E-06 ‐13.4649 ESP‐FF 10100223 20710100202 1189 2.93E-08 ‐17.3457 FF 10100222 2013 1.70E‐06 ‐13.2849 ESP‐FF 10100202 111

10100202 1190 5.44E-08 ‐16.7269 FF 10100203 1809 1.84E-06 ‐13.2057 ESP‐FF 10100202 11110100202 2095 3.43E-07 ‐14.8855 FF 10100222 879456 1.86E‐06 ‐13.1949 ESP‐FF 10100223 230

10100202 1606 2.57E-07 ‐15.1742 FF 10100202 734 1.91E-06 ‐13.1707 ESP‐FF 10100223 2315

10100221 2170 5.89E‐08 ‐16.648 FF 10100212 2103 2.01E‐06 ‐13.1174 ESP‐FF 10100202 96

10100202 735 5.08E-06 ‐12.1904 FF 10100226 2278 2.16E-06 ‐13.0454 ESP‐FF 10100226 139

10100202 1654 1.99E‐07 ‐15.43 FF 10100226 1141 2.20E-06 ‐13.0271 ESP‐FF 10100202 1004000

10100202 63254 1.16E-06 ‐13.6671 FF 10100201 902 2.82E-06 ‐12.7788 ESP‐FF 10100202 876

10100218 2088 4.11E‐07 ‐14.7047 FF 10100202 1636 2.83E‐06 ‐12.7752 ESP‐FF 10100205 134611

10100222 845 3.86E‐07 ‐14.7674 FF 10100202 736 2.99E-06 ‐12.7194 ESP‐FF 10100211 164

10100218 524 3.40E‐06 ‐12.5917 FF 10100223 828 3.30E-06 ‐12.6216 ESP‐FF 10100203 89

10100202 734 1.91E-06 ‐13.1707 FF 10100202 993 3.35E-06 ‐12.6066 ESP‐FF 10100202 5410100202 736 2.99E-06 ‐12.7194 FF 10100218 524 3.40E‐06 ‐12.5917 ESP‐FF 10100203 173

10100222 2013 1.70E‐06 ‐13.2849 ESP 10100202 1244 4.11E-06 ‐12.4028 ESP‐FF 10100202 202

10100222 2011 7.63E-07 ‐14.086 ESP 10100202 975 4.78E-06 ‐12.2511 ESP‐FF 10100223 231

10100223 2009 1.42E-06 ‐13.4649 ESP 10100222 2135 4.96E-06 ‐12.2141 ESP‐FF 10100212 73

10100226 1141 2.20E-06 ‐13.0271 ESP 10100202 1845 5.00E-06 ‐12.2061 ESP‐FF 10100226 193

10100202 1154 9.17E-07 ‐13.9022 ESP 10100202 735 5.08E-06 ‐12.1904 ESP‐FF 10100222 201

10100212 1021 1.26E-07 ‐15.8904 ESP 10100203 892 6.30E-06 ‐11.975 ESP‐FF 10100222 220

10100212 3197 3.00E-07 ‐15.0195 ESP 10100204 1111 7.00E-06 ‐11.8696 ESP‐FF 10100202 97

10100202 1902 4.44E-07 ‐14.6274 ESP 10100201 903 8.70E-06 ‐11.6522 ESP‐FF 10100202 11510100202 1636 2.83E‐06 ‐12.7752 ESP 10100212 1647 1.43E-08 ‐18.063 Wet 10100202 173

10100203 1809 1.84E-06 ‐13.2057 ESP 10100212 1648 3.74E-08 ‐17.1016 Wet 10100202 197

10100226 2278 2.16E-06 ‐13.0454 ESP 10100202 2239 6.03E-08 ‐16.6239 Wet 10100218 131

10100202 1845 5.00E-06 ‐12.2061 ESP 10100202 1515 6.16E‐08 ‐16.6026 Wet 10100202 6325

10100222 1854 2.45E-07 ‐15.222 ESP 10100222 2259 6.71E-08 ‐16.5171 Wet 10100204 111

10100222 10040004 1.28E‐07 ‐15.8712 ESP 10100201 2319 7.68E‐08 ‐16.3821 Wet 10100212 63
Cobalt Data

SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submittal

ID

lb/mmBtu

O2

LN

#/mmBtu Controls SCC

submitt

ID

All Cobalt Data Cobalt Data merged ESP/FF Cobalt D

10100212 22791 3.97E-07 ‐14.7392 ESP 10100202 1915 8.48E-08 ‐16.283 Wet 10100205 13461

10100222 21351 4.10E-07 ‐14.7071 ESP 10100223 1327 1.13E-07 ‐15.9959 Wet 10100202 227

10100212 2279 1.41E‐06 ‐13.4711 ESP 10100202 1185 1.15E-07 ‐15.9783 Wet 10100202 198

10100222 2274 1.89E-07 ‐15.4815 ESP 10100211 900 1.26E‐07 ‐15.887 Wet 10100202 190

10100202 2276 1.27E-06 ‐13.5765 ESP 10100202 1637 1.43E‐07 ‐15.7604 Wet 10100212 22710100223 12861 4.16E-07 ‐14.6926 ESP 10100202 1638 1.54E‐07 ‐15.6863 Wet 10100223 200

10100212 2103 2.01E‐06 ‐13.1174 ESP 10100202 1187 1.83E-07 ‐15.5138 Wet 10100222 201

10100223 2302 5.02E‐07 ‐14.5047 ESP 10300222 1276 1.85E‐07 ‐15.5029 Wet 10100203 180

10100204 1111 7.00E-06 ‐11.8696 ESP 10100202 2055 1.93E-07 ‐15.4606 Wet 10100222 87945

10100204 1113 1.18E-06 ‐13.65 ESP 10100224 1120 1.97E-07 ‐15.4401 Wet 10100202 73

10100222 2135 4.96E-06 ‐12.2141 ESP 10100223 23152 2.57E-07 ‐15.1742 Wet 10100212 210

10100202 1906 1.40E‐06 ‐13.479 ESP 10100202 1743 2.94E‐07 ‐15.0397 Wet 10100226 227

10100223 2070 4.53E-07 ‐14.6074 ESP 10100226 1558 3.19E‐07 ‐14.9581 Wet 10100226 11410100202 10040002 6.09E-07 ‐14.3114 ESP 10100202 1118 3.21E-07 ‐14.9518 Wet 10100201 9010100202 2195 4.00E-07 ‐14.7318 ESP 10100212 1177 3.34E-07 ‐14.9121 Wet 10100202 163

10100202 1004 2.88E-07 ‐15.0603 ESP 10100202 1119 3.40E‐07 ‐14.8943 Wet 10100202 73

10100202 1471 4.14E-07 ‐14.6974 ESP 10100202 1330 4.05E-07 ‐14.7194 Wet 10100202 202

10100202 975 4.78E-06 ‐12.2511 ESP 10100202 1826 4.09E-07 ‐14.7096 Wet 10100223 82

10100202 993 3.35E-06 ‐12.6066 ESP 10100202 1176 4.10E-07 ‐14.7071 Wet 10100202 9910100203 894 6.47E-07 ‐14.2509 ESP 10100202 18261 4.10E-07 ‐14.7071 Wet 10100218 52

10100203 892 6.30E-06 ‐11.975 ESP 10100223 23151 4.41E-07 ‐14.6342 Wet 10100202 124

10100223 828 3.30E-06 ‐12.6216 ESP 10100202 1117 4.90E-07 ‐14.5289 Wet 10100202 9710100201 902 2.82E-06 ‐12.7788 ESP 10100202 1117 4.90E-07 ‐14.5289 Wet 10100222 21310100201 903 8.70E-06 ‐11.6522 ESP 10100223 23153 5.27E-07 ‐14.4561 Wet 10100202 18410100202 979 9.02E-07 ‐13.9187 ESP 10100202 966 5.64E‐07 ‐14.3882 Wet 10100202 7310100202 1989 1.28E‐06 ‐13.5687 ESP 10100202 541 6.55E‐07 ‐14.2386 Wet 10100203 89

10100202 2161 6.67E-08 ‐16.5231 ESP 10100223 2315 6.91E-07 ‐14.1851 Wet 10100204 111

10100211 1642 6.40E‐07 ‐14.2618 ESP 10100202 1738 9.53E‐07 ‐13.8637 Wet 10100201 90

10100212 632 1.23E-06 ‐13.6085 ESP 10100202 1972 1.05E-06 ‐13.7667 Wet 10100202 55000

10100212 731 7.00E‐07 ‐14.1715 ESP
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.05 1.21 -11.6 31 2.848 2.92 3.25

2 -15.16 1.069 -12.69 30 2.314 2.91 3.24

3 -15.25 0.978 -13.59 29 1.694 2.89 3.22

4 -15.31 0.942 -16.85 1 1.634 2.88 3.2

5 -15.25 0.909 -16.81 2 1.708 2.86 3.18

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.83 1.145 -16.52 1 2.349 3.08 3.43

2 -13.77 1.094 -11.65 44 1.938 3.07 3.41

3 -13.82 1.055 -15.89 2 1.96 3.06 3.4

4 -13.77 1.016 -15.87 3 2.066 3.05 3.39

5 -13.72 0.971 -11.87 43 1.906 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Number of data = 21
10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.090

For 10% significance level, -12.19039596 is not an outlier.

For 5% significance level, -12.19039596 is not an outlier.

For 1% significance level, -12.19039596 is not an outlier.

Test Statistic: 0.147

For 10% significance level, -17.34567832 is not an outlier.

For 5% significance level, -17.34567832 is not an outlier.

For 1% significance level, -17.34567832 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -15.21 1.128 -11.51 36 3.28 2.99 3.33

2 -15.32 0.966 -18.06 1 2.842 2.98 3.32

3 -15.24 0.852 -17.1 2 2.187 2.97 3.3

4 -15.18 0.798 -16.62 3 1.807 2.95 3.29

5 -15.14 0.767 -16.6 4 1.912 2.94 3.27

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -11.51 is a Potential Statistical Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP Fabric Filter

Number of Valid Observations 44 21

Number of Distinct Observations 44 21

Minimum 6.6700E-8 2.9300E-8

Maximum 8.7000E-6 5.0800E-6

Mean 1.7749E-6 1.1626E-6

Median 1.0485E-6 3.6100E-7

SD 2.0113E-6 1.5057E-6

SE of Mean 3.0321E-7 3.2856E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 1.237 1.669 0.110

Welch-Satterthwaite (Unequal Varia 51.3 1.369 1.675 0.088

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 4.045E-12

Variance of Background 2.267E-12

Numerator DF Denominator DF F-Test Value P-Value

43 20 1.784 0.163

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Fabric Filte ESP

Number of Valid Observations 21 44

Number of Distinct Observations 21 44

Minimum 2.9300E-8 6.6700E-8

Maximum 5.0800E-6 8.7000E-6

Mean 1.1626E-6 1.7749E-6

Median 3.6100E-7 1.0485E-6

SD 1.5057E-6 2.0113E-6

SE of Mean 3.2856E-7 3.0321E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 -1.237 1.669 0.890

Welch-Satterthwaite (Unequal Varia 51.3 -1.369 1.675 0.912

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.267E-12

Variance of Background 4.045E-12

Numerator DF Denominator DF F-Test Value P-Value

43 20 1.784 0.163

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 65 31

Number of Distinct Observations 65 30

Minimum 2.9300E-8 4.8200E-8

Maximum 8.7000E-6 9.1400E-6

Mean 1.5771E-6 7.2565E-7

Median 7.6300E-7 3.0100E-7

SD 1.8734E-6 1.6611E-6

SE of Mean 2.3237E-7 2.9834E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 94 2.157 1.661 0.017

Welch-Satterthwaite (Unequal Varia 66.0 2.252 1.668 0.014

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 3.510E-12

Variance of Background 2.759E-12

Numerator DF Denominator DF F-Test Value P-Value

64 30 1.272 0.475

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 65 35

Number of Distinct Observations 65 33

Minimum 2.9300E-8 1.4300E-8

Maximum 8.7000E-6 1.0500E-6

Mean 1.5771E-6 3.1918E-7

Median 7.6300E-7 2.9400E-7

SD 1.8734E-6 2.5032E-7

SE of Mean 2.3237E-7 4.2312E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 98 3.944 1.661 0.000

Welch-Satterthwaite (Unequal Varia 68.2 5.326 1.668 0.000

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 3.510E-12

Variance of Background 6.266E-14

Numerator DF Denominator DF F-Test Value P-Value

64 34 56.010 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 31 35

Number of Distinct Observations 30 33

Minimum 4.8200E-8 1.4300E-8

Maximum 9.1400E-6 1.0500E-6

Mean 7.2565E-7 3.1918E-7

Median 3.0100E-7 2.9400E-7

SD 1.6611E-6 2.5032E-7

SE of Mean 2.9834E-7 4.2312E-8

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 64 1.431 1.669 0.079

Welch-Satterthwaite (Unequal Varia 31.2 1.349 1.696 0.094

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.759E-12

Variance of Background 6.266E-14

Numerator DF Denominator DF F-Test Value P-Value

30 34 44.034 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 35 31

Number of Distinct Observations 33 30

Minimum 1.4300E-8 4.8200E-8

Maximum 1.0500E-6 9.1400E-6

Mean 3.1918E-7 7.2565E-7

Median 2.9400E-7 3.0100E-7

SD 2.5032E-7 1.6611E-6

SE of Mean 4.2312E-8 2.9834E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 64 -1.431 1.669 0.921

Welch-Satterthwaite (Unequal Varia 31.2 -1.349 1.696 0.906

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 6.266E-14

Variance of Background 2.759E-12

Numerator DF Denominator DF F-Test Value P-Value

30 34 44.034 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP-FF Wet/Dry Scrub

Number of Valid Observations 65 66

Number of Distinct Observations 65 63

Minimum 2.9300E-8 1.4300E-8

Maximum 8.7000E-6 9.1400E-6

Mean 1.5771E-6 5.1010E-7

Median 7.6300E-7 2.9750E-7

SD 1.8734E-6 1.1611E-6

SE of Mean 2.3237E-7 1.4292E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 129 3.925 1.657 0.000

Welch-Satterthwaite (Unequal Varia 106.6 3.911 1.659 0.000

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 3.510E-12

Variance of Background 1.348E-12

Numerator DF Denominator DF F-Test Value P-Value

64 65 2.603 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal

mBtuO2' acd (acidcon) 66 1.4300E-8 9.1400E-6 5.1010E-7 2.9750E-7 1.348E-12 1.1611E-6 2.7947E-7 6.673 48.77 N/A

/mmBtuO2' acd (esp-ff) 65 2.9300E-8 8.7000E-6 1.5771E-6 7.6300E-7 3.510E-12 1.8734E-6 9.0437E-7 1.843 3.308 N/A

mBtuO2' acd (acidcon) 66 5.1800E-8 5.9850E-8 8.4800E-8 1.1625E-7 2.9750E-7 4.9000E-7 5.8800E-7 7.0250E-7 1.0258E-6 5.2010E-6

/mmBtuO2' acd (esp-ff) 65 7.8560E-8 1.4540E-7 2.5460E-7 3.4300E-7 7.6300E-7 2.0100E-6 2.8220E-6 4.5120E-6 5.0640E-6 7.6120E-6
Coal Fired Utility Boiler

Lead Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Lead Emissions Factor are presented on

the following page with two sets of columns. The left set of columns contains data from all

facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions

factor and the control measure employed. At the bottom of this column, data identified as

statistical outliers are highlighted and were not included in further assessments. The right set

of columns contains the same information except that the ESP controlled data are excluded

since the analysis indicated that there were no statistical difference between the Fabric Filter

controls and the acid gas controls (Wet Scrubber & Dry Scrubber). The site specific emissions

factors presented are as determined using the f factor method rather than the emissions

factor determined by dividing the hourly emissions by the coal feed and associated proximate

analysis. Subsequent pages provide the assessments as performed using EPA’s statistical

software ProUCL. The assessments provide support for developing a national emissions factor

for ESP controlled boilers, and for developing a combined national emissions factor for Fabric

Filter, Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed

for the reasons cited earlier.

  

The resulting calculated lead emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP controls 6.61 x 10‐6 43 Highly Representative

Fabric Filter, Dry Scrubbing &

Wet Scrubbing controls

2.25 x 10‐6 89 Highly Representative
Lead Emissions Data

SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls

10100202 1611 9.98E-08 ‐16.120098 Dry 10100202 1611 9.98E-08 ‐16.1201 Dry

10100202 947 1.32E‐07 ‐15.840464 Dry 10100202 947 1.32E‐07 ‐15.84046 Dry

10100222 1726 1.55E-07 ‐15.679841 Dry 10100222 1726 1.55E-07 ‐15.67984 Dry

10100202 1249 2.33E‐07 ‐15.272227 Dry 10100202 1249 2.33E‐07 ‐15.27223 Dry

10100202 1133 2.61E‐07 ‐15.159959 Dry 10100202 1133 2.61E‐07 ‐15.15996 Dry

10100202 1488 2.94E‐07 ‐15.039686 Dry 10100202 1488 2.94E‐07 ‐15.03969 Dry

10100202 1942 3.17E‐07 ‐14.964364 Dry 10100202 1942 3.17E‐07 ‐14.96436 Dry

10100202 1129 3.53E‐07 ‐14.856703 Dry 10100202 1129 3.53E‐07 ‐14.8567 Dry

10100205 13461 5.39E‐07 ‐14.43355 Dry 10100205 13461 5.39E‐07 ‐14.43355 Dry

10100203 1052 5.78E‐07 ‐14.363692 Dry 10100203 1052 5.78E‐07 ‐14.36369 Dry

10100222 1449 6.81E-07 ‐14.199704 Dry 10100222 1449 6.81E-07 ‐14.1997 Dry

10100205 1346 7.89E‐07 ‐14.0525 Dry 10100205 1346 7.89E‐07 ‐14.0525 Dry

10100222 1568 8.44E‐07 ‐13.985113 Dry 10100222 1568 8.44E‐07 ‐13.98511 Dry

10100202 560 9.59E-07 ‐13.857375 Dry 10100202 560 9.59E-07 ‐13.85737 Dry

10100202 2021 1.00E‐06 ‐13.815511 Dry 10100202 2021 1.00E‐06 ‐13.81551 Dry

10100202 8761 1.02E-06 ‐13.795708 Dry 10100202 8761 1.02E-06 ‐13.79571 Dry

10100212 565 1.07E-06 ‐13.747852 Dry 10100212 565 1.07E-06 ‐13.74785 Dry

10100205 1346111 1.21E‐06 ‐13.62489 Dry 10100205 1346111 1.21E‐06 ‐13.62489 Dry

10100202 8761 1.32E-06 ‐13.537879 Dry 10100202 8761 1.32E-06 ‐13.53788 Dry

10100205 1349 1.55E‐06 ‐13.377256 Dry 10100205 1349 1.55E‐06 ‐13.37726 Dry

10100203 1734 1.79E‐06 ‐13.232588 Dry 10100203 1734 1.79E‐06 ‐13.23259 Dry

10100205 134611 1.99E‐06 ‐13.127376 Dry 10100205 134611 1.99E‐06 ‐13.12738 Dry

10100203 1735 2.06E‐06 ‐13.093101 Dry 10100203 1735 2.06E‐06 ‐13.0931 Dry

10100222 2206 2.06E‐06 ‐13.092805 Dry 10100222 2206 2.06E‐06 ‐13.0928 Dry

10100226 1398 2.18E-06 ‐13.036186 Dry 10100226 1398 2.18E-06 ‐13.03619 Dry

10100202 698 2.86E‐06 ‐12.764689 Dry 10100202 698 2.86E‐06 ‐12.76469 Dry

10100218 1563 3.33E-06 ‐12.612538 Dry 10100218 1563 3.33E-06 ‐12.61254 Dry

10100202 1563 3.35E-06 ‐12.60655 Dry 10100202 1563 3.35E-06 ‐12.60655 Dry

10100226 1938 3.88E-06 ‐12.459675 Dry 10100226 1938 3.88E-06 ‐12.45968 Dry

10100202 2022 4.82E‐06 ‐12.242737 Dry 10100202 2022 4.82E‐06 ‐12.24274 Dry

10100202 550002 8.93E-06 ‐11.626094 Dry 10100202 550002 8.93E-06 ‐11.62609 Dry

10100202 1909 1.07E‐05 ‐11.445267 Dry 10100202 1909 1.07E‐05 ‐11.44527 Dry

10100218 1563 2.00E-05 ‐10.819778 Dry 10100218 1563 2.00E-05 ‐10.81978 Dry

10100212 1021 2.89E-07 ‐15.056398 ESP 10100221 1835 1.32E‐07 ‐15.84039 FF

10100222 10040004 3.12E‐07 ‐14.980263 ESP 10100222 1832 2.91E-07 ‐15.04994 FF

10100212 2103 4.78E‐07 ‐14.553655 ESP 10100222 1833 3.21E-07 ‐14.95182 FF

10100202 2161 4.97E-07 ‐14.514676 ESP 10100202 1597 3.97E-07 ‐14.73933 FF

10100212 22791 6.39E-07 ‐14.263347 ESP 10100202 736 4.29E-07 ‐14.66211 FF

10100226 2278 6.59E-07 ‐14.232542 ESP 10100221 2170 4.36E‐07 ‐14.6459 FF

10100202 1902 6.67E-07 ‐14.220476 ESP 10100202 1606 6.52E-07 ‐14.24322 FF

10100202 1004 7.02E-07 ‐14.169332 ESP 10100202 2095 6.59E-07 ‐14.23254 FF

10100202 2195 7.32E-07 ‐14.127485 ESP 10100222 845 9.24E‐07 ‐13.89455 FF

10100212 3197 7.78E-07 ‐14.066539 ESP 10100202 1189 1.07E-06 ‐13.74785 FF

10100223 2070 9.71E-07 ‐13.844939 ESP 10100202 735 1.17E-06 ‐13.65426 FF

10100212 2279 1.18E-06 ‐13.653721 ESP 10100218 2088 1.43E‐06 ‐13.45784 FF

10100202 979 1.31E-06 ‐13.545483 ESP 10100218 1310 1.59E‐06 ‐13.35178 FF

10100202 10040002 1.40E-06 ‐13.479038 ESP 10100202 63254 2.12E-06 ‐13.06409 FF

10100223 12861 1.47E-06 ‐13.430248 ESP 10100202 1244 2.17E-06 ‐13.04126 FF

All Lead Emissions Test Data Lead Emissions Data less ESP & Outlier
Lead Emissions Data

SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls

All Lead Emissions Test Data Lead Emissions Data less ESP & Outlier

10100211 1642 1.81E‐06 ‐13.222184 ESP 10100202 734 2.30E-06 ‐12.98245 FF

10100203 894 2.13E-06 ‐13.059389 ESP 10100202 1654 2.38E‐06 ‐12.94841 FF

10100212 731 2.13E‐06 ‐13.057731 ESP 10100202 1190 2.87E-06 ‐12.7612 FF

10100202 2276 2.14E-06 ‐13.054705 ESP 10100222 879456 3.80E‐06 ‐12.48051 FF

10100222 2011 2.25E-06 ‐13.00458 ESP 10100222 1841 3.88E-06 ‐12.45968 FF

10100202 1154 2.33E-06 ‐12.969642 ESP 10100218 524 6.96E‐06 ‐11.87533 FF

10100222 2274 2.48E-06 ‐12.907252 ESP 10100202 1972 9.05E-08 ‐16.21792 Wet

10100204 1113 3.06E-06 ‐12.697096 ESP 10100222 2259 1.42E-07 ‐15.76744 Wet

10100202 1989 3.93E‐06 ‐12.446871 ESP 10100212 1648 1.83E-07 ‐15.51378 Wet

10100222 2013 4.03E‐06 ‐12.421744 ESP 10100202 1743 2.20E‐07 ‐15.32964 Wet

10100226 1141 4.12E-06 ‐12.399657 ESP 10100223 1327 2.35E-07 ‐15.26368 Wet

10100222 1854 4.60E-06 ‐12.289454 ESP 10300222 1276 2.36E‐07 ‐15.25943 Wet

10100201 902 4.93E-06 ‐12.220172 ESP 10100202 2239 2.70E-07 ‐15.12484 Wet

10100223 2009 6.30E-06 ‐11.974961 ESP 10100201 2319 2.79E‐07 ‐15.09205 Wet

10100212 632 6.90E-06 ‐11.883989 ESP 10100202 1515 3.18E‐07 ‐14.96121 Wet

10100202 1906 7.21E‐06 ‐11.840042 ESP 10100202 541 3.21E‐07 ‐14.95182 Wet

10100203 1809 7.78E-06 ‐11.763954 ESP 10100223 23152 3.23E-07 ‐14.94561 Wet

10100202 993 7.99E-06 ‐11.73732 ESP 10100223 23151 3.79E-07 ‐14.78573 Wet

10100202 1636 9.36E‐06 ‐11.579065 ESP 10100202 1637 3.91E‐07 ‐14.75456 Wet

10100202 975 9.61E-06 ‐11.552706 ESP 10100202 1118 4.00E-07 ‐14.7318 Wet

10100223 828 9.93E-06 ‐11.51995 ESP 10100224 1120 5.11E-07 ‐14.4869 Wet

10100201 903 1.31E-05 ‐11.242898 ESP 10100202 1915 5.14E-07 ‐14.48104 Wet

10100202 1845 1.41E-05 ‐11.169336 ESP 10100202 1187 5.20E-07 ‐14.46944 Wet

10100204 1111 1.81E-05 ‐10.919599 ESP 10100202 1176 5.57E-07 ‐14.4007 Wet

10100222 21351 1.89E-05 ‐10.876349 ESP 10100202 1638 5.605E‐07 ‐14.39451 Wet

10100203 892 2.18E-05 ‐10.733601 ESP 10100223 23153 5.87E-07 ‐14.34824 Wet

10100223 2302 2.26E‐05 ‐10.697561 ESP 10100202 1185 6.78E-07 ‐14.20412 Wet

10100202 1471 5.86E-05 ‐9.7447759 ESP 10100202 1119 7.83E‐07 ‐14.06013 Wet

10100221 1835 1.32E‐07 ‐15.840394 FF 10100223 1307 9.25E-07 ‐13.89347 Wet

10100222 1832 2.91E-07 ‐15.049943 FF 10100202 2055 9.82E-07 ‐13.83367 Wet

10100222 1833 3.21E-07 ‐14.951825 FF 10100212 1647 1.01E-06 ‐13.80556 Wet

10100202 1597 3.97E-07 ‐14.73933 FF 10100223 2315 1.05E-06 ‐13.76672 Wet

10100202 736 4.29E-07 ‐14.662105 FF 10100202 1117 1.12E-06 ‐13.70218 Wet

10100221 2170 4.36E‐07 ‐14.645895 FF 10100202 1117 1.12E-06 ‐13.70218 Wet

10100202 1606 6.52E-07 ‐14.243221 FF 10100202 1330 1.20E-06 ‐13.63319 Wet

10100202 2095 6.59E-07 ‐14.232542 FF 10100202 1738 4.03E‐06 ‐12.42174 Wet

10100222 845 9.24E‐07 ‐13.894554 FF 10100202 1826 4.77E-06 ‐12.25316 Wet

10100202 1189 1.07E-06 ‐13.747852 FF 10100226 1558 4.77E‐06 ‐12.25316 Wet

10100202 735 1.17E-06 ‐13.654257 FF 10100202 18261 7.95E-06 ‐11.74234 Wet

10100218 2088 1.43E‐06 ‐13.457836 FF 10100212 1177 8.57E-06 ‐11.66724 Wet

10100218 1310 1.59E‐06 ‐13.351777 FF 10100202 966 3.70E‐05 ‐10.20459 Wet

10100202 63254 2.12E-06 ‐13.064094 FF

10100202 1244 2.17E-06 ‐13.041257 FF

10100202 734 2.30E-06 ‐12.982453 FF

10100202 1654 2.38E‐06 ‐12.94841 FF

10100202 1190 2.87E-06 ‐12.761199 FF

10100222 879456 3.80E‐06 ‐12.480509 FF

10100222 1841 3.88E-06 ‐12.459675 FF
Lead Emissions Data

SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls

All Lead Emissions Test Data Lead Emissions Data less ESP & Outlier

10100218 524 6.96E‐06 ‐11.875331 FF

10100202 1972 9.05E-08 ‐16.217916 Wet

10100222 2259 1.42E-07 ‐15.767439 Wet

10100212 1648 1.83E-07 ‐15.51378 Wet

10100202 1743 2.20E‐07 ‐15.329638 Wet

10100223 1327 2.35E-07 ‐15.26368 Wet

10300222 1276 2.36E‐07 ‐15.259434 Wet

10100202 2239 2.70E-07 ‐15.124844 Wet

10100201 2319 2.79E‐07 ‐15.092054 Wet

10100202 1515 3.18E‐07 ‐14.961214 Wet

10100202 541 3.21E‐07 ‐14.951825 Wet

10100223 23152 3.23E-07 ‐14.945614 Wet

10100223 23151 3.79E-07 ‐14.78573 Wet

10100202 1637 3.91E‐07 ‐14.754558 Wet

10100202 1118 4.00E-07 ‐14.731801 Wet

10100224 1120 5.11E-07 ‐14.486896 Wet

10100202 1915 5.14E-07 ‐14.481043 Wet

10100202 1187 5.20E-07 ‐14.469437 Wet

10100202 1176 5.57E-07 ‐14.400701 Wet

10100202 1638 5.6046E‐07 ‐14.394507 Wet

10100223 23153 5.87E-07 ‐14.348241 Wet

10100202 1185 6.78E-07 ‐14.204119 Wet

10100202 1119 7.83E‐07 ‐14.060133 Wet

10100223 1307 9.25E-07 ‐13.893472 Wet

10100202 2055 9.82E-07 ‐13.833675 Wet

10100212 1647 1.01E-06 ‐13.80556 Wet

10100223 2315 1.05E-06 ‐13.76672 Wet

10100202 1117 1.12E-06 ‐13.702182 Wet

10100202 1117 1.12E-06 ‐13.702182 Wet

10100202 1330 1.20E-06 ‐13.633189 Wet

10100202 1738 4.03E‐06 ‐12.421744 Wet

10100202 1826 4.77E-06 ‐12.253164 Wet

10100226 1558 4.77E‐06 ‐12.253164 Wet

10100202 18261 7.95E-06 ‐11.742339 Wet

10100212 1177 8.57E-06 ‐11.667243 Wet

10100202 966 3.70E‐05 ‐10.204593 Wet

10100202 1507 1.38E‐04 ‐8.8882569 Dry

10100222 2135 2.81E-03 ‐5.8745708 ESP

10100211 900 1.19E-01 ‐2.1286318 Wet
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.55 1.476 -8.888 8 3.16 2.97 3.3

2 -13.69 1.27 -10.82 27 2.262 2.95 3.29

3 -13.78 1.179 -11.45 2 1.982 2.94 3.27

4 -13.86 1.118 -16.12 5 2.023 2.91 3.25

5 -13.78 1.054 -11.63 1 2.048 2.91 3.24

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -8.888 is a Potential Statistical Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.57 1.633 -5.875 35 4.099 3.08 3.43

2 -12.72 1.304 -9.745 12 2.284 3.07 3.41

3 -12.79 1.233 -15.06 24 1.834 3.06 3.4

4 -12.74 1.195 -14.98 32 1.875 3.05 3.39

5 -12.68 1.155 -10.7 39 1.72 3.04 3.38

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -5.875 is a Potential Statistical Outlier

For 1% Significance Level, there is 1 Potential Outlier

Therefore, Observation -5.875 is a Potential Statistical Outlier
Number of data = 21

10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.197

For 10% significance level, -11.87533108 is not an outlier.

For 5% significance level, -11.87533108 is not an outlier.

For 1% significance level, -11.87533108 is not an outlier.

Test Statistic: 0.264

For 10% significance level, -15.84039383 is not an outlier.

For 5% significance level, -15.84039383 is not an outlier.

For 1% significance level, -15.84039383 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.79 2.338 -2.129 23 4.99 2.99 3.33

2 -14.13 1.292 -10.2 17 3.035 2.98 3.32

3 -14.24 1.114 -11.67 24 2.311 2.97 3.3

4 -14.32 1.033 -11.74 16 2.496 2.95 3.29

5 -14.4 0.938 -12.25 14 2.289 2.94 3.27

For 5% significance level, there are 2 Potential Outliers

Therefore, Potential Statistical Outliers are

-2.129, -10.2

For 1% Significance Level, there is 1 Potential Outlier

Therefore, Observation -2.129 is a Potential Statistical Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 43 21

Number of Distinct Observations 42 21

Minimum 2.8900E-7 1.3200E-7

Maximum 5.8600E-5 6.9600E-6

Mean 6.6117E-6 1.7134E-6

Median 2.4800E-6 1.1700E-6

SD 1.0102E-5 1.6465E-6

SE of Mean 1.5406E-6 3.5929E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 62 2.199 1.670 0.016

Welch-Satterthwaite (Unequal Varia 46.4 3.096 1.679 0.002

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 1.021E-10

Variance of Background 2.711E-12

Numerator DF Denominator DF F-Test Value P-Value

42 20 37.648 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 21 33

Number of Distinct Observations 21 32

Minimum 1.3200E-7 9.9800E-8

Maximum 6.9600E-6 2.0000E-5

Mean 1.7134E-6 2.4653E-6

Median 1.1700E-6 1.0700E-6

SD 1.6465E-6 3.9349E-6

SE of Mean 3.5929E-7 6.8498E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 52 -0.828 1.675 0.794

Welch-Satterthwaite (Unequal Varia 46.4 -0.972 1.679 0.832

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.711E-12

Variance of Background 1.548E-11

Numerator DF Denominator DF F-Test Value P-Value

32 20 5.712 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 33 21

Number of Distinct Observations 32 21

Minimum 9.9800E-8 1.3200E-7

Maximum 2.0000E-5 6.9600E-6

Mean 2.4653E-6 1.7134E-6

Median 1.0700E-6 1.1700E-6

SD 3.9349E-6 1.6465E-6

SE of Mean 6.8498E-7 3.5929E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 52 0.828 1.675 0.206

Welch-Satterthwaite (Unequal Varia 46.4 0.972 1.679 0.168

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.548E-11

Variance of Background 2.711E-12

Numerator DF Denominator DF F-Test Value P-Value

32 20 5.712 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 21 35

Number of Distinct Observations 21 33

Minimum 1.3200E-7 9.0500E-8

Maximum 6.9600E-6 3.7000E-5

Mean 1.7134E-6 2.3713E-6

Median 1.1700E-6 5.5700E-7

SD 1.6465E-6 6.3766E-6

SE of Mean 3.5929E-7 1.0778E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 54 -0.462 1.674 0.677

Welch-Satterthwaite (Unequal Varia 41.1 -0.579 1.683 0.717

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 2.711E-12

Variance of Background 4.066E-11

Numerator DF Denominator DF F-Test Value P-Value

34 20 14.999 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 35 21

Number of Distinct Observations 33 21

Minimum 9.0500E-8 1.3200E-7

Maximum 3.7000E-5 6.9600E-6

Mean 2.3713E-6 1.7134E-6

Median 5.5700E-7 1.1700E-6

SD 6.3766E-6 1.6465E-6

SE of Mean 1.0778E-6 3.5929E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 54 0.462 1.674 0.323

Welch-Satterthwaite (Unequal Varia 41.1 0.579 1.683 0.283

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 4.066E-11

Variance of Background 2.711E-12

Numerator DF Denominator DF F-Test Value P-Value

34 20 14.999 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 33

Number of Distinct Observations 32

Minimum 9.9800E-8

Maximum 2.0000E-5

Mean of Raw Data 2.4653E-6

Standard Deviation of Raw Data 3.9349E-6

Kstar 0.716

Mean of Log Transformed Data -13.69

Standard Deviation of Log Transformed Data 1.27

Correlation Coefficient R 0.747

Shapiro Wilk Test Statistic 0.583

Shapiro Wilk Critical (0.95) Value 0.931

Approximate Shapiro Wilk P Value 3.049E-10

Lilliefors Test Statistic 0.286

Lilliefors Critical (0.95) Value 0.154

Correlation Coefficient R 0.948

A-D Test Statistic 0.816

A-D Critical (0.95) Value 0.787

K-S Test Statistic 0.146

K-S Critical(0.95) Value 0.159

Correlation Coefficient R 0.995

Shapiro Wilk Test Statistic 0.985

Shapiro Wilk Critical (0.95) Value 0.931

Approximate Shapiro Wilk P Value 0.93

Lilliefors Test Statistic 0.0626

Lilliefors Critical (0.95) Value 0.154

Number of Valid Observations 43
Number of Distinct Observations 42

Minimum 2.8900E-7

Maximum 5.8600E-5

Mean of Raw Data 6.6117E-6

Standard Deviation of Raw Data 1.0102E-5

Kstar 0.714

Mean of Log Transformed Data -12.72

Standard Deviation of Log Transformed Data 1.304

Correlation Coefficient R 0.764

Shapiro Wilk Test Statistic 0.615

Shapiro Wilk Critical (0.95) Value 0.943

Approximate Shapiro Wilk P Value 7.107E-13

Lilliefors Test Statistic 0.266

Lilliefors Critical (0.95) Value 0.135

Correlation Coefficient R 0.95

A-D Test Statistic 0.855

A-D Critical (0.95) Value 0.789

K-S Test Statistic 0.138

K-S Critical(0.95) Value 0.14

Correlation Coefficient R 0.992

Shapiro Wilk Test Statistic 0.973

Shapiro Wilk Critical (0.95) Value 0.943

Approximate Shapiro Wilk P Value 0.485

Lilliefors Test Statistic 0.0809

Lilliefors Critical (0.95) Value 0.135

Number of Valid Observations 21

Number of Distinct Observations 21

Minimum 1.3200E-7

Maximum 6.9600E-6

Mean of Raw Data 1.7134E-6

Standard Deviation of Raw Data 1.6465E-6

Kstar 1.123

Mean of Log Transformed Data -13.72

Standard Deviation of Log Transformed Data 1.02
Correlation Coefficient R 0.9

Shapiro Wilk Test Statistic 0.819

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 8.5396E-4

Lilliefors Test Statistic 0.168

Lilliefors Critical (0.95) Value 0.193

Correlation Coefficient R 0.989

A-D Test Statistic 0.245

A-D Critical (0.95) Value 0.763

K-S Test Statistic 0.112

K-S Critical(0.95) Value 0.194

Correlation Coefficient R 0.99

Shapiro Wilk Test Statistic 0.979

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.892

Lilliefors Test Statistic 0.12

Lilliefors Critical (0.95) Value 0.193

Number of Valid Observations 35

Number of Distinct Observations 33

Minimum 9.0500E-8

Maximum 3.7000E-5

Mean of Raw Data 2.3713E-6

Standard Deviation of Raw Data 6.3766E-6

Kstar 0.508

Mean of Log Transformed Data -14.13

Standard Deviation of Log Transformed Data 1.292

Correlation Coefficient R 0.572

Shapiro Wilk Test Statistic 0.364

Shapiro Wilk Critical (0.95) Value 0.934

Approximate Shapiro Wilk P Value 1.121E-14

Lilliefors Test Statistic 0.401

Lilliefors Critical (0.95) Value 0.15

Correlation Coefficient R 0.85
A-D Test Statistic 3.627

A-D Critical (0.95) Value 0.809

K-S Test Statistic 0.318

K-S Critical(0.95) Value 0.157

Correlation Coefficient R 0.949

Shapiro Wilk Test Statistic 0.907

Shapiro Wilk Critical (0.95) Value 0.934

Approximate Shapiro Wilk P Value 0.00638

Lilliefors Test Statistic 0.18

Lilliefors Critical (0.95) Value 0.15
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 89

Number of Distinct Observations 82

Minimum 9.0500E-8

Maximum 3.7000E-5

Mean of Raw Data 2.2509E-6

Standard Deviation of Raw Data 4.6955E-6

Kstar 0.682

Mean of Log Transformed Data -13.87

Standard Deviation of Log Transformed Data 1.23

Correlation Coefficient R 0.639

Approximate Shapiro Wilk Test Statistic 0.451

Approximate Shapiro Wilk P Value 0

Lilliefors Test Statistic 0.323

Lilliefors Critical (0.95) Value 0.0939

Correlation Coefficient R 0.882

A-D Test Statistic 3.481

A-D Critical (0.95) Value 0.799

K-S Test Statistic 0.173

K-S Critical(0.95) Value 0.0989

Correlation Coefficient R 0.991

Approximate Shapiro Wilk Test Statistic 0.973

Approximate Shapiro Wilk P Value 0.247

Lilliefors Test Statistic 0.0728

Lilliefors Critical (0.95) Value 0.0939
'lb/mmBtuO2' trim (dry) 33 9.9800E-8 2.0000E-5 2.4653E-6 1.0700E-6 1.548E-11 3.9349E-6 1.1994E-6 3.332 12.61 N/A

lb/mmBtuO2' trim (esp) 43 2.8900E-7 5.8600E-5 6.6117E-6 2.4800E-6 1.021E-10 1.0102E-5 2.7294E-6 3.598 16.52 N/A

'lb/mmBtuO2' trim (ff) 21 1.3200E-7 6.9600E-6 1.7134E-6 1.1700E-6 2.711E-12 1.6465E-6 1.2587E-6 1.815 4.088 N/A

lb/mmBtuO2' trim (wet) 35 9.0500E-8 3.7000E-5 2.3713E-6 5.5700E-7 4.066E-11 6.3766E-6 4.7739E-7 5.026 27.3 N/A

'lb/mmBtuO2' trim (dry) 33 1.4580E-7 2.3860E-7 3.3140E-7 5.3900E-7 1.0700E-6 2.1800E-6 3.1420E-6 4.6320E-6 9.6380E-6 1.7024E-5

lb/mmBtuO2' trim (esp) 43 4.7990E-7 6.4300E-7 7.5040E-7 1.0755E-6 2.4800E-6 7.8850E-6 9.5100E-6 1.7300E-5 2.1510E-5 4.3480E-5

'lb/mmBtuO2' trim (ff) 21 2.9100E-7 3.2100E-7 4.2900E-7 4.3600E-7 1.1700E-6 2.3000E-6 2.3800E-6 3.8000E-6 3.8800E-6 6.3440E-6

lb/mmBtuO2' trim (wet) 35 1.7070E-7 2.2600E-7 2.7720E-7 3.1950E-7 5.5700E-7 1.0850E-6 1.1360E-6 4.7700E-6 8.1360E-6 2.7334E-5
'lb/mmBtuO2' cmb 89 9.0500E-8 3.7000E-5 2.2509E-6 9.2500E-7 2.205E-11 4.6955E-6 9.2661E-7 5.474 36.14 N/A

'lb/mmBtuO2' cmb 89 1.4720E-7 2.3460E-7 3.1980E-7 3.7900E-7 9.2500E-7 2.1200E-6 2.5720E-6 4.7700E-6 8.3220E-6 2.2040E-5
Coal Fired Utility Boiler

Manganese Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Manganese Emissions Factor are

presented on the following page with two sets of columns. The left set of columns contains

data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the

emissions factor and the control measure employed. The site specific emissions factors

presented are as determined using the f factor method rather than the emissions factor

determined by dividing the hourly emissions by the coal feed and associated proximate

analysis. The one data set which was identified as a statistical outlier is highlighted. The right

set of columns contains the same information except that the data for Fabric Filter and ESP

controlled sources are identified using a combined nomenclature for subsequent analysis as

combined data. The data were merged since the preceding analysis indicated that there was

no statistical difference between the particulate controls (ESP & FF). Subsequent pages

provide the assessments as performed using EPA’s statistical software ProUCL. The

assessments provide support for developing a single combined national emissions factors for

ESP, Fabric Filters, Dry Scrubber and Wet Scrubber controlled facilities. A combined emissions

factor for ESP, Fabric Filters, Dry Scrubber and Wet Scrubber controlled facilities since there

was no statistical difference in the means of emissions from ESP and Fabric Filter controlled

facilities and there was no statistical difference between the combined ESP and Fabric Filter

controlled facilities the Dry Scrubber controlled and the Wet Scrubber controlled facilities.

The resulting calculated manganese emissions factors is:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP, FF, Dry Scrubber & Wet

Scrubber controls

1.01 x 10‐5 134 Highly Representative
SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls

10100202 1611 1.48E-07 ‐15.7261 Dry 10100202 1611 1.48E-07 ‐15.7261 Dry

10100202 1507 1.80E‐07 ‐15.5303 Dry 10100202 1507 1.80E‐07 ‐15.5303 Dry

10100202 1909 2.10E‐07 ‐15.3762 Dry 10100202 1909 2.10E‐07 ‐15.3762 Dry

10100202 1488 3.81E‐07 ‐14.7805 Dry 10100202 1488 3.81E‐07 ‐14.7805 Dry

10100222 1726 3.88E-07 ‐14.7623 Dry 10100222 1726 3.88E-07 ‐14.7623 Dry

10100202 947 4.65E‐07 ‐14.5812 Dry 10100202 947 4.65E‐07 ‐14.5812 Dry

10100212 565 4.78E-07 ‐14.5537 Dry 10100212 565 4.78E-07 ‐14.5537 Dry

10100202 560 5.35E-07 ‐14.441 Dry 10100202 560 5.35E-07 ‐14.441 Dry

10100205 1346 7.90E‐07 ‐14.0512 Dry 10100205 1346 7.90E‐07 ‐14.0512 Dry

10100205 13461 8.00E‐07 ‐14.0387 Dry 10100205 13461 8.00E‐07 ‐14.0387 Dry

10100202 1942 8.48E‐07 ‐13.9804 Dry 10100202 1942 8.48E‐07 ‐13.9804 Dry

10100205 1346111 1.19E‐06 ‐13.6416 Dry 10100205 1346111 1.19E‐06 ‐13.6416 Dry

10100222 1449 1.26E-06 ‐13.5844 Dry 10100222 1449 1.26E-06 ‐13.5844 Dry

10100226 1398 1.27E-06 ‐13.5765 Dry 10100226 1398 1.27E-06 ‐13.5765 Dry

10100202 1129 1.39E‐06 ‐13.4859 Dry 10100202 1129 1.39E‐06 ‐13.4859 Dry

10100205 134611 1.45E‐06 ‐13.4439 Dry 10100205 134611 1.45E‐06 ‐13.4439 Dry

10100218 1563 1.59E-06 ‐13.3518 Dry 10100218 1563 1.59E-06 ‐13.3518 Dry

10100202 8761 1.79E-06 ‐13.2333 Dry 10100202 8761 1.79E-06 ‐13.2333 Dry

10100218 1563 2.12E-06 ‐13.0641 Dry 10100218 1563 2.12E-06 ‐13.0641 Dry

10100222 1568 2.67E‐06 ‐12.8334 Dry 10100222 1568 2.67E‐06 ‐12.8334 Dry

10100202 1563 2.68E-06 ‐12.8297 Dry 10100202 1563 2.68E-06 ‐12.8297 Dry

10100205 1349 2.86E‐06 ‐12.7647 Dry 10100205 1349 2.86E‐06 ‐12.7647 Dry

10100202 1133 3.04E‐06 ‐12.7034 Dry 10100202 1133 3.04E‐06 ‐12.7034 Dry

10100203 1734 3.34E‐06 ‐12.6108 Dry 10100203 1734 3.34E‐06 ‐12.6108 Dry

10100202 698 3.70E‐06 ‐12.5072 Dry 10100202 698 3.70E‐06 ‐12.5072 Dry

10100203 1052 4.01E‐06 ‐12.4267 Dry 10100203 1052 4.01E‐06 ‐12.4267 Dry

10100203 1735 5.11E‐06 ‐12.185 Dry 10100203 1735 5.11E‐06 ‐12.185 Dry

10100222 2206 6.55E‐06 ‐11.936 Dry 10100222 2206 6.55E‐06 ‐11.936 Dry

10100226 1938 7.77E‐06 ‐11.7648 Dry 10100226 1938 7.77E‐06 ‐11.7648 Dry

10100202 8761 1.46E-05 ‐11.1345 Dry 10100202 8761 1.46E-05 ‐11.1345 Dry

10100202 1249 2.38E‐05 ‐10.6458 Dry 10100202 1249 2.38E‐05 ‐10.6458 Dry

10100202 2021 3.72E‐05 ‐10.1992 Dry 10100202 2021 3.72E‐05 ‐10.1992 Dry

10100202 550002 7.11E-05 ‐9.55142 Dry 10100202 550002 7.11E-05 ‐9.55142 Dry

10100202 2022 8.42E‐05 ‐9.38232 Dry 10100202 2022 8.42E‐05 ‐9.38232 Dry

10100202 2161 6.88E-07 ‐14.1895 ESP 10100202 2161 6.88E-07 ‐14.1895 ESP‐FF

10100212 2103 7.34E‐07 ‐14.1248 ESP 10100212 2103 7.34E‐07 ‐14.1248 ESP‐FF

10100212 1021 1.09E-06 ‐13.7291 ESP 10100212 1021 1.09E-06 ‐13.7291 ESP‐FF

10100222 21351 1.47E-06 ‐13.4302 ESP 10100222 21351 1.47E-06 ‐13.4302 ESP‐FF

10100212 3197 1.48E-06 ‐13.4235 ESP 10100212 3197 1.48E-06 ‐13.4235 ESP‐FF

10100202 1004 2.18E-06 ‐13.0362 ESP 10100202 1004 2.18E-06 ‐13.0362 ESP‐FF

10100202 1902 2.19E-06 ‐13.0316 ESP 10100202 1902 2.19E-06 ‐13.0316 ESP‐FF

10100203 894 2.27E-06 ‐12.9957 ESP 10100203 894 2.27E-06 ‐12.9957 ESP‐FF

10100223 12861 2.36E-06 ‐12.9568 ESP 10100223 12861 2.36E-06 ‐12.9568 ESP‐FF

10100222 10040004 2.37E‐06 ‐12.9526 ESP 10100222 10040004 2.37E‐06 ‐12.9526 ESP‐FF

10100212 632 2.46E-06 ‐12.9153 ESP 10100212 632 2.46E-06 ‐12.9153 ESP‐FF

10100202 2195 2.88E-06 ‐12.7577 ESP 10100202 2195 2.88E-06 ‐12.7577 ESP‐FF

Manganese Emissions Data Manganese Emissions Data
SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls

Manganese Emissions Data Manganese Emissions Data

10100212 22791 2.95E-06 ‐12.7342 ESP 10100212 22791 2.95E-06 ‐12.7342 ESP‐FF

10100223 2302 2.99E‐06 ‐12.7202 ESP 10100223 2302 2.99E‐06 ‐12.7202 ESP‐FF

10100202 10040002 4.44E-06 ‐12.3249 ESP 10100202 10040002 4.44E-06 ‐12.3249 ESP‐FF

10100202 1154 4.54E-06 ‐12.3026 ESP 10100202 1154 4.54E-06 ‐12.3026 ESP‐FF

10100202 1906 4.70E‐06 ‐12.2679 ESP 10100202 1906 4.70E‐06 ‐12.2679 ESP‐FF

10100222 2274 4.84E-06 ‐12.2386 ESP 10100222 2274 4.84E-06 ‐12.2386 ESP‐FF

10100201 902 5.35E-06 ‐12.1384 ESP 10100201 902 5.35E-06 ‐12.1384 ESP‐FF

10100212 2279 5.69E-06 ‐12.0771 ESP 10100212 2279 5.69E-06 ‐12.0771 ESP‐FF

10100222 2011 5.91E-06 ‐12.0389 ESP 10100222 2011 5.91E-06 ‐12.0389 ESP‐FF

10100202 993 5.92E-06 ‐12.0372 ESP 10100202 993 5.92E-06 ‐12.0372 ESP‐FF

10100211 1642 6.54E‐06 ‐11.9376 ESP 10100211 1642 6.54E‐06 ‐11.9376 ESP‐FF

10100203 892 7.75E-06 ‐11.7678 ESP 10100203 892 7.75E-06 ‐11.7678 ESP‐FF

10100222 1854 8.86E-06 ‐11.634 ESP 10100222 1854 8.86E-06 ‐11.634 ESP‐FF

10100203 1809 9.16E-06 ‐11.6007 ESP 10100203 1809 9.16E-06 ‐11.6007 ESP‐FF

10100226 2278 1.07E-05 ‐11.4453 ESP 10100226 2278 1.07E-05 ‐11.4453 ESP‐FF

10100223 2009 1.12E-05 ‐11.3996 ESP 10100223 2009 1.12E-05 ‐11.3996 ESP‐FF

10100202 1989 1.17E‐05 ‐11.3559 ESP 10100202 1989 1.17E‐05 ‐11.3559 ESP‐FF

10100204 1113 1.17E-05 ‐11.3559 ESP 10100204 1113 1.17E-05 ‐11.3559 ESP‐FF

10100202 975 1.21E-05 ‐11.3223 ESP 10100202 975 1.21E-05 ‐11.3223 ESP‐FF

10100202 979 1.29E-05 ‐11.2583 ESP 10100202 979 1.29E-05 ‐11.2583 ESP‐FF

10100201 903 1.33E-05 ‐11.2277 ESP 10100201 903 1.33E-05 ‐11.2277 ESP‐FF

10100202 1471 1.36E-05 ‐11.2054 ESP 10100202 1471 1.36E-05 ‐11.2054 ESP‐FF

10100222 2013 1.59E‐05 ‐11.0492 ESP 10100222 2013 1.59E‐05 ‐11.0492 ESP‐FF

10100202 1845 1.90E-05 ‐10.8711 ESP 10100202 1845 1.90E-05 ‐10.8711 ESP‐FF

10100223 2070 2.01E-05 ‐10.8148 ESP 10100223 2070 2.01E-05 ‐10.8148 ESP‐FF

10100223 828 2.18E-05 ‐10.7336 ESP 10100223 828 2.18E-05 ‐10.7336 ESP‐FF

10100226 1141 2.64E-05 ‐10.5421 ESP 10100226 1141 2.64E-05 ‐10.5421 ESP‐FF

10100202 2276 2.85E-05 ‐10.4656 ESP 10100202 2276 2.85E-05 ‐10.4656 ESP‐FF

10100202 1636 3.08E‐05 ‐10.388 ESP 10100202 1636 3.08E‐05 ‐10.388 ESP‐FF

10100212 731 3.10E‐05 ‐10.3823 ESP 10100212 731 3.10E‐05 ‐10.3823 ESP‐FF

10100204 1111 3.25E-05 ‐10.3343 ESP 10100204 1111 3.25E-05 ‐10.3343 ESP‐FF

10100222 2135 3.83E-05 ‐10.1701 ESP 10100222 2135 3.83E-05 ‐10.1701 ESP‐FF

10100202 1189 2.52E-07 ‐15.1938 FF 10100202 1189 2.52E-07 ‐15.1938 ESP‐FF

10100221 2170 3.66E‐07 ‐14.8198 FF 10100221 2170 3.66E‐07 ‐14.8198 ESP‐FF

10100221 1835 4.11E‐07 ‐14.7054 FF 10100221 1835 4.11E‐07 ‐14.7054 ESP‐FF

10100202 1190 6.52E-07 ‐14.2432 FF 10100202 1190 6.52E-07 ‐14.2432 ESP‐FF

10100222 1832 8.68E-07 ‐13.9571 FF 10100222 1832 8.68E-07 ‐13.9571 ESP‐FF

10100222 1833 8.78E-07 ‐13.9456 FF 10100222 1833 8.78E-07 ‐13.9456 ESP‐FF

10100202 1597 1.03E-06 ‐13.786 FF 10100202 1597 1.03E-06 ‐13.786 ESP‐FF

10100202 2095 1.74E-06 ‐13.2616 FF 10100202 2095 1.74E-06 ‐13.2616 ESP‐FF

10100218 524 1.75E‐06 ‐13.2559 FF 10100218 524 1.75E‐06 ‐13.2559 ESP‐FF

10100222 1841 1.83E-06 ‐13.2112 FF 10100222 1841 1.83E-06 ‐13.2112 ESP‐FF

10100202 1606 2.09E-06 ‐13.0783 FF 10100202 1606 2.09E-06 ‐13.0783 ESP‐FF

10100222 845 2.31E‐06 ‐12.9783 FF 10100222 845 2.31E‐06 ‐12.9783 ESP‐FF

10100202 1654 2.75E‐06 ‐12.8039 FF 10100202 1654 2.75E‐06 ‐12.8039 ESP‐FF

10100218 2088 4.37E‐06 ‐12.3407 FF 10100218 2088 4.37E‐06 ‐12.3407 ESP‐FF
SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls SCC

submittal

ID lb/mmBtu

LN

#/mmBtu Controls

Manganese Emissions Data Manganese Emissions Data

10100202 63254 7.05E-06 ‐11.8625 FF 10100202 63254 7.05E-06 ‐11.8625 ESP‐FF

10100218 1310 2.06E‐05 ‐10.7902 FF 10100218 1310 2.06E‐05 ‐10.7902 ESP‐FF

10100222 879456 2.21E‐05 ‐10.7199 FF 10100222 879456 2.21E‐05 ‐10.7199 ESP‐FF

10100202 734 2.34E-05 ‐10.6628 FF 10100202 734 2.34E-05 ‐10.6628 ESP‐FF

10100202 736 2.53E-05 ‐10.5847 FF 10100202 736 2.53E-05 ‐10.5847 ESP‐FF

10100202 1244 5.41E-05 ‐9.82468 FF 10100202 1244 5.41E-05 ‐9.82468 ESP‐FF

10100202 735 6.62E-05 ‐9.62283 FF 10100202 735 6.62E-05 ‐9.62283 ESP‐FF

10100202 1972 2.59E-07 ‐15.1664 Wet 10100202 1972 2.59E-07 ‐15.1664 Wet

10100202 1515 6.23E‐07 ‐14.2887 Wet 10100202 1515 6.23E‐07 ‐14.2887 Wet

10100212 1648 8.95E-07 ‐13.9264 Wet 10100212 1648 8.95E-07 ‐13.9264 Wet

10100202 2239 9.22E-07 ‐13.8967 Wet 10100202 2239 9.22E-07 ‐13.8967 Wet

10100202 1185 1.04E-06 ‐13.7763 Wet 10100202 1185 1.04E-06 ‐13.7763 Wet

10100202 1187 1.05E-06 ‐13.7667 Wet 10100202 1187 1.05E-06 ‐13.7667 Wet

10100202 1915 1.09E-06 ‐13.7293 Wet 10100202 1915 1.09E-06 ‐13.7293 Wet

10100202 1826 1.19E-06 ‐13.6416 Wet 10100202 1826 1.19E-06 ‐13.6416 Wet

10100202 18261 1.47E-06 ‐13.4302 Wet 10100202 18261 1.47E-06 ‐13.4302 Wet

10100201 2319 1.60E‐06 ‐13.3455 Wet 10100201 2319 1.60E‐06 ‐13.3455 Wet

10100202 1118 1.75E-06 ‐13.2559 Wet 10100202 1118 1.75E-06 ‐13.2559 Wet

10100223 23152 1.88E-06 ‐13.1842 Wet 10100223 23152 1.88E-06 ‐13.1842 Wet

10100223 23153 1.98E-06 ‐13.1324 Wet 10100223 23153 1.98E-06 ‐13.1324 Wet

10300222 1276 2.11E‐06 ‐13.0688 Wet 10300222 1276 2.11E‐06 ‐13.0688 Wet

10100202 1330 2.24E-06 ‐13.009 Wet 10100202 1330 2.24E-06 ‐13.009 Wet

10100202 1743 2.37E‐06 ‐12.9526 Wet 10100202 1743 2.37E‐06 ‐12.9526 Wet

10100211 900 2.48E‐06 ‐12.9073 Wet 10100211 900 2.48E‐06 ‐12.9073 Wet

10100212 1647 2.59E-06 ‐12.8639 Wet 10100212 1647 2.59E-06 ‐12.8639 Wet

10100223 23151 2.92E-06 ‐12.7439 Wet 10100223 23151 2.92E-06 ‐12.7439 Wet

10100202 2055 3.03E-06 ‐12.7069 Wet 10100202 2055 3.03E-06 ‐12.7069 Wet

10100202 1176 3.37E-06 ‐12.6006 Wet 10100202 1176 3.37E-06 ‐12.6006 Wet

10100222 2259 4.52E-06 ‐12.307 Wet 10100222 2259 4.52E-06 ‐12.307 Wet

10100212 1177 4.55E-06 ‐12.3004 Wet 10100212 1177 4.55E-06 ‐12.3004 Wet

10100223 2315 4.77E-06 ‐12.2532 Wet 10100223 2315 4.77E-06 ‐12.2532 Wet

10100202 541 6.22E‐06 ‐11.9877 Wet 10100202 541 6.22E‐06 ‐11.9877 Wet

10100202 1738 7.30E‐06 ‐11.8276 Wet 10100202 1738 7.30E‐06 ‐11.8276 Wet

10100202 1119 9.27E‐06 ‐11.5887 Wet 10100202 1119 9.27E‐06 ‐11.5887 Wet

10100202 966 1.10E‐05 ‐11.4176 Wet 10100202 966 1.10E‐05 ‐11.4176 Wet

10100202 1117 1.30E-05 ‐11.2506 Wet 10100202 1117 1.30E-05 ‐11.2506 Wet

10100202 1117 1.30E-05 ‐11.2506 Wet 10100202 1117 1.30E-05 ‐11.2506 Wet

10100226 1558 1.70E‐05 ‐10.9823 Wet 10100226 1558 1.70E‐05 ‐10.9823 Wet

10100223 1327 2.28E-05 ‐10.6888 Wet 10100223 1327 2.28E-05 ‐10.6888 Wet

10100224 1120 3.15E-05 ‐10.3655 Wet 10100224 1120 3.15E-05 ‐10.3655 Wet

10100202 1637 4.97E‐05 ‐9.90951 Wet 10100202 1637 4.97E‐05 ‐9.90951 Wet

10100202 1638 1.31E‐04 ‐8.94031 Wet 10100202 1638 1.31E‐04 ‐8.94031 Wet

10100223 1307 3.67E-04 ‐7.91015 Wet
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.08 1.567 -9.382 34 2.359 2.97 3.3

2 -13.19 1.473 -9.551 33 2.471 2.95 3.29

3 -13.3 1.341 -10.2 32 2.316 2.94 3.27

4 -13.4 1.235 -10.65 31 2.233 2.91 3.25

5 -13.5 1.143 -11.13 30 2.066 2.91 3.24

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -11.95 1.057 -14.19 42 2.122 3.08 3.43

2 -11.9 1.023 -14.12 26 2.179 3.07 3.41

3 -11.84 0.974 -13.73 3 1.938 3.06 3.4

4 -11.8 0.939 -13.43 28 1.741 3.05 3.39

5 -11.76 0.913 -13.42 19 1.827 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Number of data = 21
10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.189

For 10% significance level, -9.622830095 is not an outlier.

For 5% significance level, -9.622830095 is not an outlier.

For 1% significance level, -9.622830095 is not an outlier.

Test Statistic: 0.106

For 10% significance level, -15.19383675 is not an outlier.

For 5% significance level, -15.19383675 is not an outlier.

For 1% significance level, -15.19383675 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.4 1.498 -7.91 36 2.997 2.99 3.33

2 -12.53 1.329 -8.94 35 2.7 2.98 3.32

3 -12.63 1.191 -9.91 34 2.287 2.97 3.3

4 -12.72 1.106 -15.17 1 2.216 2.95 3.29

5 -12.64 1.031 -10.37 33 2.205 2.94 3.27

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -7.91 is a Potential Statistical Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP Fabric Filter

Number of Valid Observations 44 21

Number of Distinct Observations 43 21

Minimum 6.8800E-7 2.5200E-7

Maximum 3.8300E-5 6.6200E-5

Mean 1.0530E-5 1.1431E-5

Median 6.2300E-6 2.0900E-6

SD 9.9899E-6 1.8391E-5

SE of Mean 1.5060E-6 4.0133E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 -0.256 1.669 0.601

Welch-Satterthwaite (Unequal Varia 25.8 -0.210 1.706 0.582

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 9.980E-11

Variance of Background 3.382E-10

Numerator DF Denominator DF F-Test Value P-Value

20 43 3.389 0.001

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 21 44

Number of Distinct Observations 21 43

Minimum 2.5200E-7 6.8800E-7

Maximum 6.6200E-5 3.8300E-5

Mean 1.1431E-5 1.0530E-5

Median 2.0900E-6 6.2300E-6

SD 1.8391E-5 9.9899E-6

SE of Mean 4.0133E-6 1.5060E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 0.256 1.669 0.399

Welch-Satterthwaite (Unequal Varia 25.8 0.210 1.706 0.418

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.382E-10

Variance of Background 9.980E-11

Numerator DF Denominator DF F-Test Value P-Value

20 43 3.389 0.001

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 65 34

Number of Distinct Observations 64 34

Minimum 2.5200E-7 1.4800E-7

Maximum 6.6200E-5 8.4200E-5

Mean 1.0821E-5 8.5269E-6

Median 5.3500E-6 1.6900E-6

SD 1.3150E-5 1.9117E-5

SE of Mean 1.6311E-6 3.2786E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 97 0.702 1.661 0.242

Welch-Satterthwaite (Unequal Varia 49.8 0.626 1.676 0.267

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.729E-10

Variance of Background 3.655E-10

Numerator DF Denominator DF F-Test Value P-Value

33 64 2.113 0.010

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 34 65

Number of Distinct Observations 34 64

Minimum 1.4800E-7 2.5200E-7

Maximum 8.4200E-5 6.6200E-5

Mean 8.5269E-6 1.0821E-5

Median 1.6900E-6 5.3500E-6

SD 1.9117E-5 1.3150E-5

SE of Mean 3.2786E-6 1.6311E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 97 -0.702 1.661 0.758

Welch-Satterthwaite (Unequal Varia 49.8 -0.626 1.676 0.733

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.655E-10

Variance of Background 1.729E-10

Numerator DF Denominator DF F-Test Value P-Value

33 64 2.113 0.010

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 65 35

Number of Distinct Observations 64 34

Minimum 2.5200E-7 2.5900E-7

Maximum 6.6200E-5 1.3100E-4

Mean 1.0821E-5 1.0357E-5

Median 5.3500E-6 2.5900E-6

SD 1.3150E-5 2.3300E-5

SE of Mean 1.6311E-6 3.9384E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 98 0.128 1.661 0.449

Welch-Satterthwaite (Unequal Varia 45.9 0.109 1.679 0.457

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.729E-10

Variance of Background 5.429E-10

Numerator DF Denominator DF F-Test Value P-Value

34 64 3.139 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Site Background

Number of Valid Observations 35 65

Number of Distinct Observations 34 64

Minimum 2.5900E-7 2.5200E-7

Maximum 1.3100E-4 6.6200E-5

Mean 1.0357E-5 1.0821E-5

Median 2.5900E-6 5.3500E-6

SD 2.3300E-5 1.3150E-5

SE of Mean 3.9384E-6 1.6311E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 98 -0.128 1.661 0.551

Welch-Satterthwaite (Unequal Varia 45.9 -0.109 1.679 0.543

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 5.429E-10

Variance of Background 1.729E-10

Numerator DF Denominator DF F-Test Value P-Value

34 64 3.139 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal


From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 34

Number of Distinct Observations 34

Minimum 1.4800E-7

Maximum 8.4200E-5

Mean of Raw Data 8.5269E-6

Standard Deviation of Raw Data 1.9117E-5

Kstar 0.437

Mean of Log Transformed Data -13.08

Standard Deviation of Log Transformed Data 1.59

Correlation Coefficient R 0.674

Shapiro Wilk Test Statistic 0.473

Shapiro Wilk Critical (0.95) Value 0.933

Approximate Shapiro Wilk P Value 1.701E-12

Lilliefors Test Statistic 0.369

Lilliefors Critical (0.95) Value 0.152

Correlation Coefficient R 0.94

A-D Test Statistic 2.496

A-D Critical (0.95) Value 0.821

K-S Test Statistic 0.241

K-S Critical(0.95) Value 0.16

Correlation Coefficient R 0.981

Shapiro Wilk Test Statistic 0.955

Shapiro Wilk Critical (0.95) Value 0.933

Approximate Shapiro Wilk P Value 0.21

Lilliefors Test Statistic 0.106

Lilliefors Critical (0.95) Value 0.152

Number of Valid Observations 44
Number of Distinct Observations 43

Minimum 6.8800E-7

Maximum 3.8300E-5

Mean of Raw Data 1.0530E-5

Standard Deviation of Raw Data 9.9899E-6

Kstar 1.103

Mean of Log Transformed Data -11.95

Standard Deviation of Log Transformed Data 1.069

Correlation Coefficient R 0.917

Shapiro Wilk Test Statistic 0.831

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 1.8198E-6

Lilliefors Test Statistic 0.178

Lilliefors Critical (0.95) Value 0.134

Correlation Coefficient R 0.982

A-D Test Statistic 0.483

A-D Critical (0.95) Value 0.774

K-S Test Statistic 0.104

K-S Critical(0.95) Value 0.137

Correlation Coefficient R 0.989

Shapiro Wilk Test Statistic 0.96

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 0.204

Lilliefors Test Statistic 0.0898

Lilliefors Critical (0.95) Value 0.134

Number of Valid Observations 21

Number of Distinct Observations 21

Minimum 2.5200E-7

Maximum 6.6200E-5

Mean of Raw Data 1.1431E-5

Standard Deviation of Raw Data 1.8391E-5

Kstar 0.46

Mean of Log Transformed Data -12.65

Standard Deviation of Log Transformed Data 1.692
Correlation Coefficient R 0.803

Shapiro Wilk Test Statistic 0.651

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 1.8549E-6

Lilliefors Test Statistic 0.316

Lilliefors Critical (0.95) Value 0.193

Correlation Coefficient R 0.976

A-D Test Statistic 1.197

A-D Critical (0.95) Value 0.805

K-S Test Statistic 0.243

K-S Critical(0.95) Value 0.2

Correlation Coefficient R 0.973

Shapiro Wilk Test Statistic 0.935

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.17

Lilliefors Test Statistic 0.155

Lilliefors Critical (0.95) Value 0.193

Number of Valid Observations 35

Number of Distinct Observations 34

Minimum 2.5900E-7

Maximum 1.3100E-4

Mean of Raw Data 1.0357E-5

Standard Deviation of Raw Data 2.3300E-5

Kstar 0.559

Mean of Log Transformed Data -12.53

Standard Deviation of Log Transformed Data 1.329

Correlation Coefficient R 0.636

Shapiro Wilk Test Statistic 0.439

Shapiro Wilk Critical (0.95) Value 0.934

Approximate Shapiro Wilk P Value 1.874E-13

Lilliefors Test Statistic 0.332

Lilliefors Critical (0.95) Value 0.15

Correlation Coefficient R 0.896
A-D Test Statistic 2.233

A-D Critical (0.95) Value 0.803

K-S Test Statistic 0.215

K-S Critical(0.95) Value 0.156

Correlation Coefficient R 0.979

Shapiro Wilk Test Statistic 0.963

Shapiro Wilk Critical (0.95) Value 0.934

Approximate Shapiro Wilk P Value 0.349

Lilliefors Test Statistic 0.125

Lilliefors Critical (0.95) Value 0.15
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 134

Number of Distinct Observations 127

Minimum 1.4800E-7

Maximum 1.3100E-4

Mean of Raw Data 1.0118E-5

Standard Deviation of Raw Data 1.7708E-5

Kstar 0.609

Mean of Log Transformed Data -12.5

Standard Deviation of Log Transformed Data 1.438

Correlation Coefficient R 0.742

Approximate Shapiro Wilk Test Statistic 0.579

Approximate Shapiro Wilk P Value 0

Lilliefors Test Statistic 0.287

Lilliefors Critical (0.95) Value 0.0765

Correlation Coefficient R 0.967

A-D Test Statistic 3.761

A-D Critical (0.95) Value 0.808

K-S Test Statistic 0.155

K-S Critical(0.95) Value 0.0846

Correlation Coefficient R 0.996

Approximate Shapiro Wilk Test Statistic 0.975

Approximate Shapiro Wilk P Value 0.218

Lilliefors Test Statistic 0.0798

Lilliefors Critical (0.95) Value 0.0765
'lb/mmBtuO2' 134 1.4800E-7 1.3100E-4 1.0118E-5 2.9700E-6 3.136E-10 1.7708E-5 3.2735E-6 3.826 19.04 N/A

'lb/mmBtuO2' 134 3.8555E-7 6.6280E-7 1.0900E-6 1.4550E-6 2.9700E-6 1.1575E-5 1.3420E-5 2.6070E-5 3.7585E-5 7.9877E-5
Coal Fired Utility Boiler

Nickel Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Nickel Emissions Factor are presented

on the following page with two sets of columns. The left set of columns contains data from all

facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions

factor and the control measure employed. The one data set which was identified as a

statistical outlier is highlighted. The right set of columns contains the same information

except that the data for Fabric Filter and ESP controlled sources are identified using a

combined nomenclature for subsequent analysis as combined data. The data were merged

since the preceding analysis indicated that there was no statistical difference between the

particulate controls (ESP & FF). The site specific emissions factors presented are as

determined using the f factor method rather than the emissions factor determined by

dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent

pages provide the assessments as performed using EPA’s statistical software ProUCL. The

assessments provide support for developing a combined national emissions factors for ESP,

Fabric Filters and Wet Scrubber controlled facilities, and for developing a seperate national

emissions factor for Dry Scrubbing controls. A combined emissions factor for ESP, Fabric

Filterss and Wet Scrubber controlled facilities since there was no statistical difference in the

means of emissions from ESP and Fabric Filter controlled facilities and there was no statistical

difference between the combined ESP and Fabric Filter controlled facilities and the Wet

Scrubber controlled facilities. Separate emissions factors were developed for Dry Scrubber

controlled facilities since there was a statistical difference between the combined ESP and

Fabric Filter controlled facilities and the Dry Scrubber controlled facilities.

  

The resulting calculated nickel emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP, FF & Wet Scrubber control 2.74 x 10‐5 101 Highly Representative

Dry Scrubbing control 3.41 x 10‐6 33 Highly Representative
SCC

submittal

ID

lb/

mmBtu

LN

#/mmBtu Controls SCC comb

submittal

ID comb

lb/mmBtu

comb

LN #/mmBtu

comb

Controls

comb

10100202 1611 1.20E‐07 ‐15.9358 Dry 10100202 1611 1.20E‐07 ‐15.9357741 Dry

10100202 1189 1.54E‐07 ‐15.6863 FF 10100202 1507 2.24E‐07 ‐15.3116198 Dry

10300222 1276 2 16E‐07 ‐15 348 Wet 10100202 947 2 88E‐07 ‐15 0603054 Dry

Nickel Source Test Data Nickel Source Test Data

10300222 1276 2.16E 07 15.348 Wet 10100202 947 2.88E 07 15.0603054 Dry

10100202 1507 2.24E‐07 ‐15.3116 Dry 10100222 1726 3.13E‐07 ‐14.9770626 Dry

10100202 947 2.88E‐07 ‐15.0603 Dry 10100222 1449 4.33E‐07 ‐14.6525281 Dry

10100202 1915 2.92E‐07 ‐15.0465 Wet 10100202 560 4.74E‐07 ‐14.5620585 Dry

10100221 2170 3.01E‐07 ‐15.0166 FF 10100202 1942 5.56E‐07 ‐14.4024975 Dry

10100222 1726 3.13E‐07 ‐14.9771 Dry 10100202 1488 6.58E‐07 ‐14.2340609 Dry

10100202 1190 3.25E‐07 ‐14.9394 FF 10100202 1249 7.76E‐07 ‐14.0691133 Dry

10100202 1471 3.70E‐07 ‐14.8098 ESP 10100202 1129 8.04E‐07 ‐14.0331508 Dry

10100212 1648 3.76E‐07 ‐14.7937 Wet 10100212 565 8.59E‐07 ‐13.9674969 Dry

10100202 1972 3.97E‐07 ‐14.7393 Wet 10100203 1734 9.12E‐07 ‐13.9072926 Dry

10100222 1449 4.33E‐07 ‐14.6525 Dry 10100205 1346 9.48E‐07 ‐13.8689113 Dry

10100202 560 4.74E‐07 ‐14.5621 Dry 10100226 1398 1.02E‐06 ‐13.7957079 Dry

10100221 1835 4.85E‐07 ‐14.5384 FF 10100205 1349 1.26E‐06 ‐13.5843988 Dry

10100202 10100202 1942 5 56E . ‐07 ‐14 4025 14.4025 Dry 10100218 10100218 1563 1 32E . ‐06 ‐13 5378788 13.5378788 Dry

10100202 1597 5.70E‐07 ‐14.3776 FF 10100202 1133 1.61E‐06 ‐13.3387577 Dry

10100202 1488 6.58E‐07 ‐14.2341 Dry 10100203 1735 1.69E‐06 ‐13.2898003 Dry

10100202 1654 7.21E‐07 ‐14.1426 FF 10100205 1346111 1.70E‐06 ‐13.2848823 Dry

10100222 1832 7.32E‐07 ‐14.1275 FF 10100222 1568 1.78E‐06 ‐13.2388972 Dry

10100202 2239 7.62E‐07 ‐14.0873 Wet 10100226 1938 1.99E‐06 ‐13.1273759 Dry

10100202 1249 7.76E‐07 ‐14.0691 Dry 10100205 134611 2.51E‐06 ‐12.8952278 Dry

10100202 1515 7.88E‐07 ‐14.0538 Wet 10100205 13461 3.14E‐06 ‐12.6712878 Dry

10100202 1129 8.04E‐07 ‐14.0332 Dry 10100202 1909 3.25E‐06 ‐12.6368556 Dry

10100212 565 8.59E‐07 ‐13.9675 Dry 10100203 1052 3.35E‐06 ‐12.6065502 Dry

10100212 1647 8.67E‐07 ‐13.9582 Wet 10100202 1563 4.23E‐06 ‐12.3733086 Dry

10100212 3197 8.93E‐07 ‐13.9287 ESP 10100218 1563 4.25E‐06 ‐12.3685916 Dry

10100222 845 9.12E‐07 ‐13.9076 FF 10100202 698 5.11E‐06 ‐12.1843112 Dry

10100203 10100203 1734 9 12E . ‐07 ‐13 9073 13.9073 Dry 10100202 10100202 8761 7 67E . ‐06 ‐11 7781939 11.7781939 Dry

10100205 1346 9.48E‐07 ‐13.8689 Dry 10100202 8761 7.68E‐06 ‐11.776891 Dry

10100202 1638 9.93E‐07 ‐13.8225 Wet 10100222 2206 8.82E‐06 ‐11.6384887 Dry

10100222 1833 9.99E‐07 ‐13.8165 FF 10100202 2021 9.72E‐06 ‐11.5413249 Dry

10100226 1398 1.02E‐06 ‐13.7957 Dry 10100202 2022 3.41E‐05 ‐10.2862132 Dry

10100202 1637 1.06E‐06 ‐13.7572 Wet 10100202 1471 3.70E‐07 ‐14.8097628 ESP‐FF

10100202 2161 1.09E‐06 ‐13.7293 ESP 10100212 3197 8.93E‐07 ‐13.9286793 ESP‐FF

10100223 2070 1.25E‐06 ‐13.5924 ESP 10100202 2161 1.09E‐06 ‐13.7293329 ESP‐FF

10100205 1349 1.26E‐06 ‐13.5844 Dry 10100223 2070 1.25E‐06 ‐13.592367 ESP‐FF

10100202 1826 1.30E‐06 ‐13.5531 Wet 10100202 1902 1.47E‐06 ‐13.4302482 ESP‐FF

10100218 1563 1.32E‐06 ‐13.5379 Dry 10100202 1154 1.83E‐06 ‐13.2111946 ESP‐FF

10100218 524 1.39E‐06 ‐13.4862 FF 10100212 2103 1.89E‐06 ‐13.1789337 ESP‐FF

10100202 1902 1.47E‐06 ‐13.4302 ESP 10100222 10040004 2.30E‐06 ‐12.9826014 ESP‐FF

10100202 10100202 1133 1 61E . ‐06 ‐13 3388 13.3388 Dry 10100203 10100203 894 2 37E . ‐06 ‐12 9526206 12.9526206 ESP‐FF

10100203 1735 1.69E‐06 ‐13.2898 Dry 10100222 21351 2.41E‐06 ‐12.9358838 ESP‐FF

10100205 1346111 1.70E‐06 ‐13.2849 Dry 10100222 1854 2.55E‐06 ‐12.8794172 ESP‐FF

10100223 23153 1.77E‐06 ‐13.2445 Wet 10100211 1642 2.79E‐06 ‐12.789469 ESP‐FF

10100222 1568 1.78E‐06 ‐13.2389 Dry 10100212 1021 2.79E‐06 ‐12.789469 ESP‐FF

10100201 2319 1.79E‐06 ‐13.2333 Wet 10100202 10040002 3.07E‐06 ‐12.693833 ESP‐FF
SCC

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ID

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mmBtu

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#/mmBtu Controls SCC comb

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ID comb

lb/mmBtu

comb

LN #/mmBtu

comb

Controls

comb

Nickel Source Test Data Nickel Source Test Data

10100223 1327 1.83E‐06 ‐13.2112 Wet 10100226 1141 3.17E‐06 ‐12.661779 ESP‐FF

10100202 1154 1.83E‐06 ‐13.2112 ESP 10100223 2009 3.63E‐06 ‐12.5262779 ESP‐FF

10100222 10100222 2259 1 88E . ‐06 ‐13 1842 13.1842 Wet 10100202 10100202 1004 3 79E . ‐06 ‐12 4831445 12.4831445 ESP‐FF

10100212 2103 1.89E‐06 ‐13.1789 ESP 10100222 2013 3.83E‐06 ‐12.4726458 ESP‐FF

10100226 1938 1.99E‐06 ‐13.1274 Dry 10100223 12861 4.43E‐06 ‐12.327111 ESP‐FF

10100222 10040004 2.30E‐06 ‐12.9826 ESP 10100202 1906 4.65E‐06 ‐12.2786433 ESP‐FF

10100223 23152 2.36E‐06 ‐12.9568 Wet 10100222 2011 4.97E‐06 ‐12.2120907 ESP‐FF

10100203 894 2.37E‐06 ‐12.9526 ESP 10100201 902 5.14E‐06 ‐12.1784575 ESP‐FF

10100202 18261 2.41E‐06 ‐12.9359 Wet 10100202 979 5.32E‐06 ‐12.1440373 ESP‐FF

10100222 21351 2.41E‐06 ‐12.9359 ESP 10100202 1989 5.63E‐06 ‐12.0874011 ESP‐FF

10100205 134611 2.51E‐06 ‐12.8952 Dry 10100212 2279 5.98E‐06 ‐12.0273109 ESP‐FF

10100223 23151 2.55E‐06 ‐12.8794 Wet 10100212 632 6.35E‐06 ‐11.9670557 ESP‐FF

10100222 1854 2.55E‐06 ‐12.8794 ESP 10100223 2302 7.31E‐06 ‐11.8262673 ESP‐FF

10100218 2088 2.64E‐06 ‐12.8447 FF 10100202 2195 8.48E‐06 ‐11.6778001 ESP‐FF

10100202 1330 2.75E‐06 ‐12.8039 Wet 10100203 1809 9.08E‐06 ‐11.6094364 ESP‐FF

10100211 10100211 1642 2 79E . ‐06 ‐12 7895 12.7895 ESP 10100212 10100212 22791 9 43E . ‐06 ‐11 5713392 11.5713392 ESP‐FF

10100212 1021 2.79E‐06 ‐12.7895 ESP 10100202 993 1.11E‐05 ‐11.4085654 ESP‐FF

10100202 2095 2.93E‐06 ‐12.7405 FF 10100202 1636 1.19E‐05 ‐11.3389722 ESP‐FF

10100223 2315 2.99E‐06 ‐12.7202 Wet 10100203 892 1.47E‐05 ‐11.1276631 ESP‐FF

10100202 10040002 3.07E‐06 ‐12.6938 ESP 10100201 903 1.58E‐05 ‐11.0555006 ESP‐FF

10100205 13461 3.14E‐06 ‐12.6713 Dry 10100222 2274 2.00E‐05 ‐10.8197783 ESP‐FF

10100226 1141 3.17E‐06 ‐12.6618 ESP 10100223 828 2.07E‐05 ‐10.7853769 ESP‐FF

10100202 1909 3.25E‐06 ‐12.6369 Dry 10100212 731 2.22E‐05 ‐10.7154183 ESP‐FF

10100203 1052 3.35E‐06 ‐12.6066 Dry 10100204 1113 3.09E‐05 ‐10.3847544 ESP‐FF

10100223 2009 3.63E‐06 ‐12.5263 ESP 10100202 975 7.61E‐05 ‐9.48346229 ESP‐FF

10100202 1119 3.70E‐06 ‐12.5072 Wet 10100202 1845 8.77E‐05 ‐9.34158866 ESP‐FF

10100202 1004 3.79E‐06 ‐12.4831 ESP 10100202 2276 1.47E‐04 ‐8.82507797 ESP‐FF

10100222 2013 3.83E‐06 ‐12.4726 ESP 10100226 2278 1.50E‐04 ‐8.80487526 ESP‐FF

10100202 10100202 1606 3 91E . ‐06 ‐12 452 . FF 10100222 10100222 2135 2 04E . ‐04 ‐8 49739056 8.49739056 ESP‐FF

10100202 1187 4.14E‐06 ‐12.3948 Wet 10100204 1111 3.73E‐04 ‐7.89393214 ESP‐FF

10100211 900 4.19E‐06 ‐12.3828 Wet 10100202 1189 1.54E‐07 ‐15.6863132 ESP‐FF

10100202 1563 4.23E‐06 ‐12.3733 Dry 10100221 2170 3.01E‐07 ‐15.0165529 ESP‐FF

10100218 1563 4.25E‐06 ‐12.3686 Dry 10100202 1190 3.25E‐07 ‐14.9394407 ESP‐FF

10100222 1841 4.39E‐06 ‐12.3362 FF 10100221 1835 4.85E‐07 ‐14.5383802 ESP‐FF

10100226 1558 4.41E‐06 ‐12.3316 Wet 10100202 1597 5.70E‐07 ‐14.3776295 ESP‐FF

10100223 12861 4.43E‐06 ‐12.3271 ESP 10100202 1654 7.21E‐07 ‐14.1426267 ESP‐FF

10100202 1906 4.65E‐06 ‐12.2786 ESP 10100222 1832 7.32E‐07 ‐14.1274853 ESP‐FF

10100222 2011 4.97E‐06 ‐12.2121 ESP 10100222 845 9.12E‐07 ‐13.9076258 ESP‐FF

10100202 698 5.11E‐06 ‐12.1843 Dry 10100222 1833 9.99E‐07 ‐13.8165111 ESP‐FF

10100201 902 5.14E‐06 ‐12.1785 ESP 10100218 524 1.39E‐06 ‐13.4862068 ESP‐FF

10100202 1117 5.29E‐06 ‐12.1497 Wet 10100218 2088 2.64E‐06 ‐12.8447316 ESP‐FF

10100202 10100202 1117 5 29E . ‐06 ‐12 1497 12.1497 W t e 10100202 10100202 2095 2 93E . ‐06 ‐12 7405081 12.7405081 ESP‐FF

10100202 2055 5.30E‐06 ‐12.1478 Wet 10100202 1606 3.91E‐06 ‐12.4519732 ESP‐FF

10100202 979 5.32E‐06 ‐12.144 ESP 10100222 1841 4.39E‐06 ‐12.3361813 ESP‐FF

10100202 1989 5.63E‐06 ‐12.0874 ESP 10100222 879456 1.46E‐05 ‐11.134489 ESP‐FF

10100212 1177 5.97E‐06 ‐12.0288 Wet 10100202 63254 1.81E‐05 ‐10.9195986 ESP‐FF

10100212 2279 5.98E‐06 ‐12.0273 ESP 10100218 1310 3.73E‐05 ‐10.1965172 ESP‐FF
SCC

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ID

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LN

#/mmBtu Controls SCC comb

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ID comb

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LN #/mmBtu

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Controls

comb

Nickel Source Test Data Nickel Source Test Data

10100202 966 6.27E‐06 ‐11.9797 Wet 10100202 734 1.32E‐04 ‐8.93270864 ESP‐FF

10100212 632 6.35E‐06 ‐11.9671 ESP 10100202 736 2.23E‐04 ‐8.40833879 ESP‐FF

10100224 10100224 1120 6 43E . ‐06 ‐11 9545 11.9545 Wet 10100202 10100202 1244 2 25E . ‐04 ‐8 39941016 8.39941016 ESP‐FF

10100202 1118 6.71E‐06 ‐11.9119 Wet 10100202 735 3.02E‐04 ‐8.10508354 ESP‐FF

10100223 2302 7.31E‐06 ‐11.8263 ESP 10300222 1276 2.16E‐07 ‐15.3479874 Wet

10100202 8761 7.67E‐06 ‐11.7782 Dry 10100202 1915 2.92E‐07 ‐15.046512 Wet

10100202 8761 7.68E‐06 ‐11.7769 Dry 10100212 1648 3.76E‐07 ‐14.7936767 Wet

10100202 2195 8.48E‐06 ‐11.6778 ESP 10100202 1972 3.97E‐07 ‐14.7393296 Wet

10100222 2206 8.82E‐06 ‐11.6385 Dry 10100202 2239 7.62E‐07 ‐14.0873193 Wet

10100203 1809 9.08E‐06 ‐11.6094 ESP 10100202 1515 7.88E‐07 ‐14.0537677 Wet

10100202 1185 9.10E‐06 ‐11.6072 Wet 10100212 1647 8.67E‐07 ‐13.9582269 Wet

10100212 22791 9.43E‐06 ‐11.5713 ESP 10100202 1638 9.93E‐07 ‐13.8225352 Wet

10100202 2021 9.72E‐06 ‐11.5413 Dry 10100202 1637 1.06E‐06 ‐13.7572416 Wet

10100202 993 1.11E‐05 ‐11.4086 ESP 10100202 1826 1.30E‐06 ‐13.5531463 Wet

10100202 1636 1.19E‐05 ‐11.339 ESP 10100223 23153 1.77E‐06 ‐13.244531 Wet

10100222 10100222 879456 1 46E . ‐05 ‐11 1345 11.1345 FF 10100201 10100201 2319 1 79E . ‐06 ‐13 2332949 13.2332949 Wet

10100202 1176 1.47E‐05 ‐11.1277 Wet 10100223 1327 1.83E‐06 ‐13.2111946 Wet

10100203 892 1.47E‐05 ‐11.1277 ESP 10100222 2259 1.88E‐06 ‐13.1842388 Wet

10100201 903 1.58E‐05 ‐11.0555 ESP 10100223 23152 2.36E‐06 ‐12.9568489 Wet

10100202 63254 1.81E‐05 ‐10.9196 FF 10100202 18261 2.41E‐06 ‐12.9358838 Wet

10100222 2274 2.00E‐05 ‐10.8198 ESP 10100223 23151 2.55E‐06 ‐12.8794172 Wet

10100223 828 2.07E‐05 ‐10.7854 ESP 10100202 1330 2.75E‐06 ‐12.8039096 Wet

10100212 731 2.22E‐05 ‐10.7154 ESP 10100223 2315 2.99E‐06 ‐12.7202372 Wet

10100204 1113 3.09E‐05 ‐10.3848 ESP 10100202 1119 3.70E‐06 ‐12.5071777 Wet

10100202 2022 3.41E‐05 ‐10.2862 Dry 10100202 1187 4.14E‐06 ‐12.3948148 Wet

10100202 1743 3.60E‐05 ‐10.232 Wet 10100211 900 4.19E‐06 ‐12.3828098 Wet

10100218 1310 3.73E‐05 ‐10.1965 FF 10100226 1558 4.41E‐06 ‐12.3316359 Wet

10100202 541 4.36E‐05 ‐10.0405 Wet 10100202 1117 5.29E‐06 ‐12.1496923 Wet

10100202 10100202 975 7 61E . ‐05 ‐9 48346 9.48346 ESP 10100202 10100202 1117 5 29E . ‐06 ‐12 1496923 12.1496923 Wet

10100202 1845 8.77E‐05 ‐9.34159 ESP 10100202 2055 5.30E‐06 ‐12.1478037 Wet

10100202 734 1.32E‐04 ‐8.93271 FF 10100212 1177 5.97E‐06 ‐12.0287636 Wet

10100223 1307 1.41E‐04 ‐8.86675 Wet 10100202 966 6.27E‐06 ‐11.9797342 Wet

10100202 2276 1.47E‐04 ‐8.82508 ESP 10100224 1120 6.43E‐06 ‐11.954536 Wet

10100226 2278 1.50E‐04 ‐8.80488 ESP 10100202 1118 6.71E‐06 ‐11.9119116 Wet

10100202 1738 1.65E‐04 ‐8.70957 Wet 10100202 1185 9.10E‐06 ‐11.6072361 Wet

10100222 2135 2.04E‐04 ‐8.49739 ESP 10100202 1176 1.47E‐05 ‐11.1276631 Wet

10100202 736 2.23E‐04 ‐8.40834 FF 10100202 1743 3.60E‐05 ‐10.2319916 Wet

10100202 1244 2.25E‐04 ‐8.39941 FF 10100202 541 4.36E‐05 ‐10.0404534 Wet

10100202 735 3.02E‐04 ‐8.10508 FF 10100223 1307 1.41E‐04 ‐8.86675067 Wet

10100204 1111 3.73E‐04 ‐7.89393 ESP 10100202 1738 1.65E‐04 ‐8.70956508 Wet

10100202 550002 5.57E‐04 ‐7.49295 Dry
From File WorkSheet.wst

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.19 1.557 -7.493 34 3.658 2.97 3.3

2 -13.36 1.237 -10.29 33 2.485 2.95 3.29

3 -13.46 1.125 -15.94 1 2.202 2.94 3.27

4 -13.38 1.047 -15.31 2 1.846 2.91 3.25

5 -13.31 1.001 -11.54 32 1.771 2.91 3.24

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -7.493 is a Potential Statistical Outlier

For 1% Significance Level, there is 1 Potential Outlier

Therefore, Observation -7.493 is a Potential Statistical Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -11.83 1.51 -7.894 44 2.606 3.08 3.43

2 -11.92 1.418 -8.497 43 2.413 3.07 3.41

3 -12 1.33 -8.805 42 2.404 3.06 3.4

4 -12.08 1.245 -8.825 41 2.613 3.05 3.39

5 -12.16 1.145 -9.342 40 2.461 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
Number of data = 21

10% critical value: 0.391

5% critical value: 0.44

1% critical value: 0.524

Test Statistic: 0.044

For 10% significance level, -8.105083541 is not an outlier.

For 5% significance level, -8.105083541 is not an outlier.

For 1% significance level, -8.105083541 is not an outlier.

Test Statistic: 0.103

For 10% significance level, -15.68631323 is not an outlier.

For 5% significance level, -15.68631323 is not an outlier.

For 1% significance level, -15.68631323 is not an outlier.

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.63 1.504 -8.71 36 2.609 2.99 3.33

2 -12.75 1.389 -8.867 35 2.793 2.98 3.32

3 -12.86 1.232 -10.04 34 2.289 2.97 3.3

4 -12.95 1.145 -10.23 33 2.372 2.95 3.29

5 -13.03 1.052 -15.35 1 2.202 2.94 3.27

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP Fabric Filter

Number of Valid Observations 44 21

Number of Distinct Observations 43 21

Minimum 3.7000E-7 1.5400E-7

Maximum 3.7300E-4 3.0200E-4

Mean 2.9622E-5 4.6308E-5

Median 5.2300E-6 2.6400E-6

SD 6.8772E-5 9.1087E-5

SE of Mean 1.0368E-5 1.9877E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 63 -0.822 1.669 0.793

Welch-Satterthwaite (Unequal Varia 31.3 -0.744 1.696 0.769

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 4.7296E-9

Variance of Background 8.2969E-9

Numerator DF Denominator DF F-Test Value P-Value

20 43 1.754 0.122

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP/FF Dry Scrubber

Number of Valid Observations 65 33

Number of Distinct Observations 64 33

Minimum 1.5400E-7 1.2000E-7

Maximum 3.7300E-4 3.4100E-5

Mean 3.5013E-5 3.4414E-6

Median 4.4300E-6 1.6100E-6

SD 7.6370E-5 6.0906E-6

SE of Mean 9.4725E-6 1.0602E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 96 2.365 1.661 0.010

Welch-Satterthwaite (Unequal Varia 65.6 3.312 1.668 0.001

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 5.8323E-9

Variance of Background 3.709E-11

Numerator DF Denominator DF F-Test Value P-Value

64 32 157.227 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP/FF Wet Scrubber

Number of Valid Observations 65 36

Number of Distinct Observations 64 35

Minimum 1.5400E-7 2.1600E-7

Maximum 3.7300E-4 1.6500E-4

Mean 3.5013E-5 1.3736E-5

Median 4.4300E-6 2.8700E-6

SD 7.6370E-5 3.5527E-5

SE of Mean 9.4725E-6 5.9212E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 99 1.577 1.660 0.059

Welch-Satterthwaite (Unequal Varia 96.8 1.905 1.661 0.030

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 5.8323E-9

Variance of Background 1.2622E-9

Numerator DF Denominator DF F-Test Value P-Value

64 35 4.621 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Wet Scrubber ESP/FF

Number of Valid Observations 36 65

Number of Distinct Observations 35 64

Minimum 2.1600E-7 1.5400E-7

Maximum 1.6500E-4 3.7300E-4

Mean 1.3736E-5 3.5013E-5

Median 2.8700E-6 4.4300E-6

SD 3.5527E-5 7.6370E-5

SE of Mean 5.9212E-6 9.4725E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 99 -1.577 1.660 0.941

Welch-Satterthwaite (Unequal Varia 96.8 -1.905 1.661 0.970

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.2622E-9

Variance of Background 5.8323E-9

Numerator DF Denominator DF F-Test Value P-Value

64 35 4.621 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 101

Number of Distinct Observations 95

Minimum 1.5400E-7

Maximum 3.7300E-4

Mean of Raw Data 2.7429E-5

Standard Deviation of Raw Data 6.5417E-5

Kstar 0.378

Mean of Log Transformed Data -12.24

Standard Deviation of Log Transformed Data 1.763

Correlation Coefficient R 0.671

Approximate Shapiro Wilk Test Statistic 0.469

Approximate Shapiro Wilk P Value 0

Lilliefors Test Statistic 0.373

Lilliefors Critical (0.95) Value 0.0882

Correlation Coefficient R 0.958

A-D Test Statistic 8.456

A-D Critical (0.95) Value 0.847

K-S Test Statistic 0.25

K-S Critical(0.95) Value 0.0958

Correlation Coefficient R 0.979

Approximate Shapiro Wilk Test Statistic 0.942

Approximate Shapiro Wilk P Value 3.4288E-4

Lilliefors Test Statistic 0.12

Lilliefors Critical (0.95) Value 0.0882
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\

Full Precision OFF

Confidence Coefficient 0.95

Number of Valid Observations 33

Number of Distinct Observations 33

Minimum 1.2000E-7

Maximum 3.4100E-5

Mean of Raw Data 3.4414E-6

Standard Deviation of Raw Data 6.0906E-6

Kstar 0.714

Mean of Log Transformed Data -13.36

Standard Deviation of Log Transformed Data 1.237

Correlation Coefficient R 0.689

Shapiro Wilk Test Statistic 0.508

Shapiro Wilk Critical (0.95) Value 0.931

Approximate Shapiro Wilk P Value 1.551E-11

Lilliefors Test Statistic 0.293

Lilliefors Critical (0.95) Value 0.154

Correlation Coefficient R 0.896

A-D Test Statistic 0.934

A-D Critical (0.95) Value 0.787

K-S Test Statistic 0.153

K-S Critical(0.95) Value 0.159

Correlation Coefficient R 0.995

Shapiro Wilk Test Statistic 0.991

Shapiro Wilk Critical (0.95) Value 0.931

Approximate Shapiro Wilk P Value 0.995

Lilliefors Test Statistic 0.0665

Lilliefors Critical (0.95) Value 0.154

Number of Valid Observations 44
Number of Distinct Observations 43

Minimum 3.7000E-7

Maximum 3.7300E-4

Mean of Raw Data 2.9622E-5

Standard Deviation of Raw Data 6.8772E-5

Kstar 0.443

Mean of Log Transformed Data -11.83

Standard Deviation of Log Transformed Data 1.527

Correlation Coefficient R 0.663

Shapiro Wilk Test Statistic 0.468

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 1.110E-16

Lilliefors Test Statistic 0.384

Lilliefors Critical (0.95) Value 0.134

Correlation Coefficient R 0.945

A-D Test Statistic 3.959

A-D Critical (0.95) Value 0.823

K-S Test Statistic 0.236

K-S Critical(0.95) Value 0.142

Correlation Coefficient R 0.969

Shapiro Wilk Test Statistic 0.937

Shapiro Wilk Critical (0.95) Value 0.944

Approximate Shapiro Wilk P Value 0.0251

Lilliefors Test Statistic 0.127

Lilliefors Critical (0.95) Value 0.134

Number of Valid Observations 21

Number of Distinct Observations 21

Minimum 1.5400E-7

Maximum 3.0200E-4

Mean of Raw Data 4.6308E-5

Standard Deviation of Raw Data 9.1087E-5

Kstar 0.277

Mean of Log Transformed Data -12.41

Standard Deviation of Log Transformed Data 2.402
Correlation Coefficient R 0.753

Shapiro Wilk Test Statistic 0.571

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 1.5896E-7

Lilliefors Test Statistic 0.384

Lilliefors Critical (0.95) Value 0.193

Correlation Coefficient R 0.95

A-D Test Statistic 1.77

A-D Critical (0.95) Value 0.852

K-S Test Statistic 0.273

K-S Critical(0.95) Value 0.206

Correlation Coefficient R 0.958

Shapiro Wilk Test Statistic 0.905

Shapiro Wilk Critical (0.95) Value 0.908

Approximate Shapiro Wilk P Value 0.0409

Lilliefors Test Statistic 0.155

Lilliefors Critical (0.95) Value 0.193

Number of Valid Observations 36

Number of Distinct Observations 35

Minimum 2.1600E-7

Maximum 1.6500E-4

Mean of Raw Data 1.3736E-5

Standard Deviation of Raw Data 3.5527E-5

Kstar 0.43

Mean of Log Transformed Data -12.63

Standard Deviation of Log Transformed Data 1.526

Correlation Coefficient R 0.612

Shapiro Wilk Test Statistic 0.397

Shapiro Wilk Critical (0.95) Value 0.935

Approximate Shapiro Wilk P Value 1.343E-14

Lilliefors Test Statistic 0.413

Lilliefors Critical (0.95) Value 0.148

Correlation Coefficient R 0.896
A-D Test Statistic 3.331

A-D Critical (0.95) Value 0.824

K-S Test Statistic 0.298

K-S Critical(0.95) Value 0.156

Correlation Coefficient R 0.973

Shapiro Wilk Test Statistic 0.945

Shapiro Wilk Critical (0.95) Value 0.935

Approximate Shapiro Wilk P Value 0.0941

Lilliefors Test Statistic 0.151

Lilliefors Critical (0.95) Value 0.148


lb/mmBtuO2 (dry) 33 1.2000E-7 3.4100E-5 3.4414E-6 1.6100E-6 3.709E-11 6.0906E-6 1.6842E-6 4.27 21.02 N/A

lb/mmBtuO2 (esp) 44 3.7000E-7 3.7300E-4 2.9622E-5 5.2300E-6 4.7296E-9 6.8772E-5 4.9963E-6 3.663 15.02 N/A

lb/mmBtuO2 (ff) 21 1.5400E-7 3.0200E-4 4.6308E-5 2.6400E-6 8.2969E-9 9.1087E-5 3.1950E-6 1.992 2.752 N/A

lb/mmBtuO2 (wet) 36 2.1600E-7 1.6500E-4 1.3736E-5 2.8700E-6 1.2622E-9 3.5527E-5 3.1060E-6 3.722 13.49 N/A

lb/mmBtuO2 (dry) 33 2.6240E-7 3.3700E-7 5.9680E-7 7.7600E-7 1.6100E-6 3.3500E-6 4.2420E-6 7.6780E-6 9.1800E-6 2.6298E-5

lb/mmBtuO2 (esp) 44 1.1140E-6 1.5780E-6 2.3940E-6 2.7300E-6 5.2300E-6 1.4975E-5 2.0280E-5 8.4220E-5 1.4955E-4 3.0033E-4

lb/mmBtuO2 (ff) 21 3.0100E-7 3.2500E-7 5.7000E-7 7.2100E-7 2.6400E-6 1.8100E-5 3.7300E-5 2.2300E-4 2.2500E-4 2.8660E-4

lb/mmBtuO2 (wet) 36 3.5500E-7 5.7950E-7 9.9300E-7 1.2400E-6 2.8700E-6 6.0450E-6 6.4300E-6 2.5350E-5 6.7950E-5 1.5660E-4
lb/mmBtuO2 comb2 101 1.5400E-7 3.7300E-4 2.7429E-5 3.9100E-6 4.2793E-9 6.5417E-5 4.2254E-6 3.303 11.42 N/A

lb/mmBtuO2 comb2 101 3.7000E-7 7.2100E-7 1.0900E-6 1.7700E-6 3.9100E-6 1.1100E-5 1.5800E-5 8.7700E-5 1.6500E-4 3.0200E-4
Coal Fired Utility Boiler

Selenium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information

Collection Request (ICR) were evaluated for the development of national emissions factors.

The procedures employed are as described in the draft Emissions Factors Procedures

Document. The data used for the development of the Selenium Emissions Factor are

presented on the following five pages. The site specific emissions factors presented are as

determined using the f factor method rather than the emissions factor determined by

dividing the hourly emissions by the coal feed and associated proximate analysis. The left five

columns contains information on each individual facility and presents Submittal ID, emissions

factors, the measurement indicator flag, the control measures employed and the natural log

of the emissions factor. The four columns on the right indicate control device groupings used

in the progression of the emissions factor development process. The first two columns

identify statistical outliers using the additional word “out” and are highlighted. In addition to

identifying outlier data these columns identify where source groups were merged when

analysis by the t‐test indicated that there was no statistical difference between controls.

Subsequent pages provide the assessments as performed using EPA’s statistical software

ProUCL. The assessments provide support for developing a combined national emissions

factors for ESP, Fabric Filters, ESP and Fabric Filter controls combined with either non

catalytic reduction or catalytic reduction, and for developing a separate national emissions

factor for units which employ wet or dry scrubbing controls. A combined emissions factor for

ESP, Fabric Filters, ESP and Fabric Filter controls combined with either non catalytic reduction

or catalytic reduction since there was no statistical difference between the means of

emissions from the different groupings of controls without acid gas controls. There also was

no statistical difference between the different groupings of controls combined with wet or

dry scrubber controls. Separate emissions factors were developed for units without wet or

dry scrubber controls and for facilities with wet or dry scrubber controls since there was a

statistical difference between these control groupings.

  

The resulting calculated selenium emissions factors are:

Emissions Factor

lb/mmBtu

Number of

Supporting Tests Quality Indicator

ESP, FF, ESP/FF, ESP/catalytic

reduction, ESP/non catalytic

reduction, FF/catalytic

reduction & FF/non catalytic

reduction control

3.69 x 10‐5 106 Highly Representative

All controls combined with

either dry scrubbing or wet

scrubbing controls

9.24 x 10‐6 112 Highly Representative
Coal Fired Utility Boilers Selenium Data

Submittal ID EF #/mmBtu Flag Controls LN EF #/mmBtu Contols-Out Control-Comb1 

1266 1.37E-08 ADL Dry Scrub FF Catalytic Red -18.10750 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

1365 1.45E-08 ADL Dry Scrub FF Catalytic Red -18.05091 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

1128 1.53E-08 DLL Dry Scrub FF Catalytic Red -17.99395 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

5000 1.61E-08 ADL FF Non Catalytic Red -17.94639 FF Non Catalytic Red FF NH3 

947 4.07E-08 DLL Dry Scrub FF -17.01645 Dry Scrub FF Dry Scrub FF 

1942 4.67E-08 DLL Dry Scrub FF -16.87852 Dry Scrub FF Dry Scrub FF 

565 5.09E-08 DLL Dry Scrub FF -16.79275 Dry Scrub FF Dry Scrub FF 

779 5.31E-08 ADL FF Non Catalytic Red -16.75133 FF Non Catalytic Red FF NH3 

1539 6.61E-08 DLL FF Non Catalytic Red -16.53234 FF Non Catalytic Red FF NH3 

1488 7.87E-08 ADL Dry Scrub FF Catalytic Red -16.35773 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

77922 8.20E-08 DLL FF Non Catalytic Red -16.31693 FF Non Catalytic Red FF NH3 

2256 9.21E-08 BDL FF -16.20075 FF FF 

2256 9.21E-08 BDL FF -16.20075 FF FF 

1382 9.33E-08 ADL Dry Scrub ESP -16.18793 Dry Scrub ESP Dry Scrub ESP 

1249 1.18E-07 DLL Dry Scrub FF -15.95146 Dry Scrub FF Dry Scrub FF 

2315 1.33E-07 DLL Wet Scrub FF -15.83660 Wet Scrub FF Wet Scrub FF 

1349 1.35E-07 ADL Dry Scrub FF -15.81599 Dry Scrub FF Dry Scrub FF 

560 1.35E-07 ADL Dry Scrub FF -15.81446 Dry Scrub FF Dry Scrub FF 

1052 1.42E-07 ADL Dry Scrub FF -15.77087 Dry Scrub FF Dry Scrub FF 

1276 1.44E-07 BDL Wet Scrub ESP -15.75242 Final Wet Scrub ESP 

23153 1.71E-07 DLL Wet Scrub FF -15.58066 Wet Scrub FF Wet Scrub FF 

1972 1.79E-07 ADL Wet Scrub FF -15.53776 Wet Scrub FF Wet Scrub FF 

23151 1.92E-07 DLL Wet Scrub FF -15.46693 Wet Scrub FF Wet Scrub FF 

830 2.10E-07 ADL Dry Scrub FF -15.37487 Dry Scrub FF Dry Scrub FF 

1449 2.13E-07 ADL Dry Scrub FF -15.36263 Dry Scrub FF Dry Scrub FF 

3197 2.15E-07 ADL ESP -15.35388 ESP ESP/ESP NH3 

1189 2.19E-07 DLL FF -15.33415 FF FF 2198 2.29E-07 ADL Dry Scrub FF -15.29049 Dry Scrub FF Dry Scrub FF 

13461 2.34E-07 ADL Dry Scrub FF -15.26754 Dry Scrub FF Dry Scrub FF 

1706 2.39E-07 ADL Wet Scrub ESP -15.24736 Wet Scrub ESP Wet Scrub ESP 

1156 2.86E-07 ADL Dry Scrub FF Catalytic Red -15.06710 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

1346 2.97E-07 ADL Dry Scrub FF -15.02925 Dry Scrub FF Dry Scrub FF 

23152 3.17E-07 ADL Wet Scrub FF -14.96536 Wet Scrub FF Wet Scrub FF 

1687 3.26E-07 ADL Wet Scrub ESP -14.93780 Wet Scrub ESP Wet Scrub ESP 

2200 4.26E-07 ADL Dry Scrub FF -14.66924 Dry Scrub FF Dry Scrub FF 

1346111 4.28E-07 ADL Dry Scrub FF -14.66395 Dry Scrub FF Dry Scrub FF 

941 4.34E-07 ADL FF -14.65046 FF FF 

1524 4.57E-07 ADL Dry Scrub FF -14.59891 Dry Scrub FF Dry Scrub FF 

1654 4.66E-07 ADL Wet Scrub FF -14.57983 Wet Scrub FF Wet Scrub FF 

1398 4.66E-07 BDL Dry Scrub FF -14.57919 Dry Scrub FF Dry Scrub FF 

1568 4.85E-07 BDL Dry Scrub FF -14.53932 Dry Scrub FF Dry Scrub FF 

1336 4.92E-07 ADL Dry Scrub FF Catalytic Red -14.52569 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

834 4.99E-07 ADL Dry Scrub FF -14.51111 Dry Scrub FF Dry Scrub FF 

1611 5.03E-07 BDL Dry Scrub FF Catalytic Red -14.50288 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 
Coal Fired Utility Boilers Selenium Data

Submittal ID EF #/mmBtu Flag Controls LN EF #/mmBtu Contols-Out Control-Comb1 

2199 5.04E-07 ADL Dry Scrub FF -14.50106 Dry Scrub FF Dry Scrub FF 

844 5.54E-07 ADL FF -14.40675 FF FF 

1129 5.71E-07 BDL Dry Scrub FF -14.37625 Dry Scrub FF Dry Scrub FF 

1618 5.77E-07 ADL ESP-FF -14.36475 ESP-FF ESP-FF 

22261 5.84E-07 ADL FF Non Catalytic Red -14.35267 FF Non Catalytic Red FF NH3 

2090 6.00E-07 DLL FF Non Catalytic Red -14.32568 FF Non Catalytic Red FF NH3 

2090 6.00E-07 DLL FF Non Catalytic Red -14.32568 FF Non Catalytic Red FF NH3 

1726 6.30E-07 ADL Dry Scrub FF Catalytic Red -14.27732 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

2112 6.40E-07 ADL Dry Scrub FF Catalytic Red -14.26153 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

698 6.58E-07 ADL Dry Scrub FF -14.23366 Dry Scrub FF Dry Scrub FF 

2027 6.72E-07 ADL Dry Scrub ESP Non Catalytic Red -14.21232 Dry Scrub ESP Non Catalytic Red Dry Scrub ESP Non Catalytic Red 1430 6.84E-07 ADL FF Non Catalytic Red -14.19548 FF Non Catalytic Red FF NH3 

1133 7.51E-07 BDL Dry Scrub FF -14.10194 Dry Scrub FF Dry Scrub FF 

1563 7.70E-07 BDL Dry Scrub FF -14.07684 Dry Scrub FF Dry Scrub FF 

1515 8.89E-07 DLL Wet Scrub FF -13.93287 Wet Scrub FF Wet Scrub FF 

134611 8.93E-07 ADL Dry Scrub FF -13.92850 Dry Scrub FF Dry Scrub FF 

1327 9.30E-07 DLL Wet Scrub FF -13.88823 Wet Scrub FF Wet Scrub FF 

2028 9.46E-07 ADL Dry Scrub ESP Non Catalytic Red -13.87076 Dry Scrub ESP Non Catalytic Red Dry Scrub ESP Non Catalytic Red 

2226 9.55E 07 - ADL FF Non Catalytic Red FF Non Catalytic Red -13.86186 13.86186 FF Non Catalytic Red FF Non Catalytic Red FF NH3 2319 9.77E-07 ADL Wet Scrub FF Catalytic Red -13.83846 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1190 9.86E-07 ADL FF -13.83007 FF FF 

1893 1.05E-06 BDL FF -13.76684 FF FF 

995 1.08E-06 DLL Dry Scrub FF -13.73514 Dry Scrub FF Dry Scrub FF 

2170 1.18E-06 BDL FF -13.65224 FF FF 

535 1.22E-06 ADL Dry Scrub FF -13.61929 Dry Scrub FF Dry Scrub FF 

2259 1.30E-06 ADL Dry Scrub FF Catalytic Red -13.55522 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

2021 1.31E-06 ADL Dry Scrub FF Non Catalytic Red -13.54516 Dry Scrub FF Non Catalytic Red Dry Scrub FF Non Catalytic Red 

1835 1.32E-06 BDL FF -13.53781 FF FF 

536 1.32E-06 ADL Dry Scrub FF -13.53736 Dry Scrub FF Dry Scrub FF 

2206 1.45E-06 ADL Dry Scrub FF -13.44665 Dry Scrub FF Dry Scrub FF 

2088 1.45E-06 ADL FF Non Catalytic Red -13.44596 FF Non Catalytic Red FF NH3 

1884 1.49E-06 ADL ESP-FF -13.41441 ESP-FF ESP-FF 

1884 1.49E-06 ADL ESP-FF -13.41441 ESP-FF ESP-FF 

511 1.50E-06 BDL Wet Scrub FF Catalytic Red -13.41005 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1832 1.58E-06 DLL FF -13.36099 FF FF 1532 1.69E-06 ADL Dry Scrub FF -13.28886 Dry Scrub FF Dry Scrub FF 

2207 1.71E-06 ADL Dry Scrub FF -13.27999 Dry Scrub FF Dry Scrub FF 

1310 1.76E-06 DLL FF Non Catalytic Red -13.24923 FF Non Catalytic Red FF NH3 

1974 1.85E-06 BDL Dry Scrub FF -13.20287 Dry Scrub FF Dry Scrub FF 

1021 1.99E-06 ADL ESP -13.12806 ESP ESP/ESP NH3 

942 2.06E-06 ADL ESP -13.09367 ESP ESP/ESP NH3 

1307 2.06E-06 ADL Wet Scrub FF -13.09189 Wet Scrub FF Wet Scrub FF 1997 2.11E-06 ADL Dry Scrub FF Catalytic Red -13.07080 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

1833 2.24E-06 DLL FF -13.01095 FF FF 
Coal Fired Utility Boilers Selenium Data

Submittal ID EF #/mmBtu Flag Controls LN EF #/mmBtu Contols-Out Control-Comb1 

1293 2.24E-06 BDL FF Non Catalytic Red -13.00725 FF Non Catalytic Red FF NH3 

524 2.28E-06 ADL FF Non Catalytic Red -12.99170 FF Non Catalytic Red FF NH3 

524 2.28E-06 ADL FF Non Catalytic Red -12.99170 FF Non Catalytic Red FF NH3 

2022 2.29E-06 ADL Dry Scrub FF -12.98655 Dry Scrub FF Dry Scrub FF 

736 2.35E-06 ADL FF -12.96066 FF FF 

1372 2.46E-06 DLL ESP -12.91664 ESP ESP/ESP NH3 

1058 2.60E-06 ADL FF -12.86083 FF FF 

1060 2.60E-06 ADL FF -12.86083 FF FF 

10040004 2.63E-06 ADL ESP -12.84814 ESP ESP/ESP NH3 

734 2.68E-06 DLL FF -12.82878 FF FF 

1606 2.70E-06 ADL FF -12.82299 FF FF 

892 2.90E-06 ADL ESP -12.75006 ESP ESP/ESP NH3 

1651 2.97E-06 ADL FF -12.72708 FF FF 

2009 3.16E-06 ADL ESP -12.66584 ESP ESP/ESP NH3 

2011 3.16E-06 ADL ESP -12.66339 ESP ESP/ESP NH3 

985 3.23E-06 ADL ESP Wet Scrub Cat Red -12.64175 ESP Wet Scrub Cat Red-Out ESP Wet Scrub Cat Red-Out 

2278 3.39E-06 ADL ESP -12.59354 ESP ESP/ESP NH3 

1141 3.46E-06 ADL ESP -12.57376 ESP ESP/ESP NH3 

1534 3.65E 06 - ADL Wet Scrub FF Wet Scrub FF -12.52043 12.52043 Wet Scrub FF Wet Scrub FF Wet Scrub FF Wet Scrub FF 

452145 3.85E-06 ADL FF -12.46759 FF FF 452145 3.85E-06 ADL FF -12.46759 FF FF 

735 3.88E-06 ADL FF -12.45950 FF FF 

1989 4.36E-06 ADL ESP -12.34225 ESP ESP/ESP NH3 

2070 4.60E-06 ADL ESP -12.28950 ESP ESP/ESP NH3 

1735 4.61E-06 ADL Dry Scrub FF Non Catalytic Red -12.28627 Dry Scrub FF Non Catalytic Red Dry Scrub FF Non Catalytic Red 

2013 4.78E-06 ADL ESP -12.25163 ESP ESP/ESP NH3 

10040002 4.87E-06 ADL FF Non Catalytic Red -12.23245 FF Non Catalytic Red FF NH3 

731 5.07E-06 ADL ESP -12.19176 ESP ESP/ESP NH3 

1647 5.46E-06 ADL Wet Scrub FF -12.11844 Wet Scrub FF Wet Scrub FF 2025 5.61E-06 ADL Wet Scrub FF Catalytic Red -12.09111 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

894 6.31E-06 ADL FF Cat Red -11.97368 FF Cat Red FF NH3 894 6.31E-06 ADL FF Non Catalytic Red -11.97368 FF Non Catalytic Red FF NH3 

894 6.31E-06 ADL FF Non Catalytic Red -11.97368 FF Non Catalytic Red FF NH3 

1734 6.32E-06 ADL Dry Scrub FF -11.97124 Dry Scrub FF Dry Scrub FF 

1938 6.45E-06 ADL ESP-FF -11.95068 ESP-FF ESP-FF 

1938 6.45E-06 ADL ESP-FF -11.95068 ESP-FF ESP-FF 

2135 6.61E-06 ADL ESP Non Catalytic Red -11.92633 ESP Non Catalytic Red ESP/ESP NH3 

1602 6.92E-06 ADL FF Cat Red -11.88041 FF Cat Red FF NH3 

1151 6.99E-06 BDL FF -11.87035 FF FF 

1854 8.10E-06 ADL ESP -11.72414 ESP ESP/ESP NH3 

966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red -11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 

966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red -11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red -11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red -11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 
Coal Fired Utility Boilers Selenium Data

Submittal ID EF #/mmBtu Flag Controls LN EF #/mmBtu Contols-Out Control-Comb1 

2239 8.73E-06 ADL ESP Wet Scrub Cat Red -11.64822 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

1187 8.91E-06 ADL ESP Wet Scrub Cat Red -11.62850 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

1535 9.35E-06 ADL FF Wet Scrub Non Catalytic Red -11.58007 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 2279 9.37E-06 ADL ESP -11.57817 ESP ESP/ESP NH3 2302 9.91E-06 ADL ESP Catalytic Red -11.52178 ESP Catalytic Red ESP/ESP NH3 

1585 1.05E-05 ADL FF Cat Red -11.46400 FF Cat Red FF NH3 1244 1.05E-05 ADL FF -11.46034 FF FF 

2097 1.07E-05 ADL FF -11.44630 FF FF 

994 1.13E-05 ADL ESP Wet Scrub Cat Red -11.38834 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

1185 1.14E-05 ADL ESP Wet Scrub Cat Red -11.38016 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

63254 1.15E-05 ADL FF -11.37678 FF FF 

1648 1.31E-05 ADL Wet Scrub FF -11.24546 Wet Scrub FF Wet Scrub FF 1847 1.36E-05 ADL FF Wet Scrub Non Catalytic Red -11.20524 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 

1638 1.40E-05 ADL Dry Scrub FF Catalytic Red -11.17386 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

1894 1.43E-05 ADL Dry Scrub ESP Non Catalytic Red -11.15180 Dry Scrub ESP Non Catalytic Red Dry Scrub ESP Non Catalytic Red 

1894 1.43E-05 ADL Dry Scrub ESP Non Catalytic Red -11.15180 Dry Scrub ESP Non Catalytic Red Dry Scrub ESP Non Catalytic Red 1894 1.43E-05 ADL ESP Wet Scrub Cat Red -11.15180 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

1894 1.43E-05 ADL FF Wet Scrub Non Catalytic Red -11.15180 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 

12861 1.45E 05 - ADL ESP -11.14322 11.14322 ESP ESP/ESP NH3 ESP/ESP NH3 

203612 1.45E-05 ADL ESP Wet Scrub Cat Red -11.13883 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

1154 1.55E-05 ADL FF -11.07663 FF FF 

1637 1.60E-05 ADL Dry Scrub FF Catalytic Red -11.04489 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

1738 1.60E-05 ADL Wet Scrub FF Catalytic Red -11.04254 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1558 1.64E-05 ADL Venturi Wet Scrub -11.02028 Venturi Wet Scrub Venturi Wet Scrub 

18261 1.66E-05 ADL Wet Scrub ESP -11.00517 Wet Scrub ESP Wet Scrub ESP 

1915 1.68E-05 ADL Dry Scrub ESP Non Catalytic Red -10.99621 Dry Scrub ESP Non Catalytic Red Dry Scrub ESP Non Catalytic Red 

983 1.73E-05 ADL ESP Wet Scrub Cat Red -10.96707 ESP Wet Scrub Cat Red ESP Wet Scrub Cat Red 

541 1.73E-05 ADL Wet Scrub FF Catalytic Red -10.96473 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1984 1.85E-05 ADL Wet Scrub ESP -10.89864 Wet Scrub ESP Wet Scrub ESP 

1984 1.85E-05 ADL Wet Scrub ESP -10.89864 Wet Scrub ESP Wet Scrub ESP 

1984 1.85E-05 ADL Wet Scrub ESP -10.89864 Wet Scrub ESP Wet Scrub ESP 

1984 1.85E-05 ADL Wet Scrub FF Catalytic Red -10.89864 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1743 1.93E-05 ADL Wet Scrub FF Catalytic Red -10.85324 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1902 2.23E-05 ADL ESP -10.70884 ESP ESP/ESP NH3 

2276 2.31E-05 ADL ESP -10.67492 ESP ESP/ESP NH3 

22791 2.32E-05 ADL FF Non Catalytic Red -10.67181 FF Non Catalytic Red FF NH3 

21351 2.32E-05 ADL ESP Non Catalytic Red -10.67046 ESP Non Catalytic Red ESP/ESP NH3 

1176 2.33E-05 ADL Wet Scrub ESP -10.66850 Wet Scrub ESP Wet Scrub ESP 

1176 2.33E-05 ADL Wet Scrub FF -10.66850 Wet Scrub FF Wet Scrub FF 

900 2.37E-05 ADL FF Wet Scrub Non Catalytic Red -10.64834 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 900 2.37E-05 ADL FF Wet Scrub Non Catalytic Red -10.64834 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red 

1642 2.38E-05 ADL ESP -10.64746 ESP ESP/ESP NH3 

1642 2.38E-05 ADL ESP -10.64746 ESP ESP/ESP NH3 

828 2.38E-05 ADL FF Cat Red -10.64721 FF Cat Red FF NH3 
Coal Fired Utility Boilers Selenium Data

Submittal ID EF #/mmBtu Flag Controls LN EF #/mmBtu Contols-Out Control-Comb1 

1118 2.64E-05 ADL Wet Scrub FF Catalytic Red -10.54386 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

2103 2.68E-05 ADL ESP -10.52700 ESP ESP/ESP NH3 

1826 2.71E-05 ADL Wet Scrub ESP -10.51770 Wet Scrub ESP Wet Scrub ESP 

2274 2.86E-05 ADL ESP -10.46249 ESP ESP/ESP NH3 

2306 2.86E-05 ADL ESP -10.46066 ESP ESP/ESP NH3 

2081 2.93E-05 ADL Wet Scrub FF Catalytic Red -10.43890 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1119 3.17E-05 ADL Wet Scrub FF Catalytic Red -10.35763 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

1120 3.42E-05 ADL Wet Scrub ESP -10.28236 Wet Scrub ESP Wet Scrub ESP 

2161 3.57E-05 ADL FF Non Catalytic Red -10.23903 FF Non Catalytic Red FF NH3 

2195 4.08E-05 ADL ESP Non Catalytic Red -10.10793 ESP Non Catalytic Red ESP/ESP NH3 

1845 4.10E-05 ADL FF -10.10279 FF FF 

1117 4.51E-05 ADL Wet Scrub FF Catalytic Red -10.00646 Wet Scrub FF Catalytic Red Wet Scrub FF Catalytic Red 

2055 5.10E-05 ADL Dry Scrub FF Catalytic Red -9.88290 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 1113 5.15E-05 ADL ESP -9.87398 ESP ESP/ESP NH3 

1597 5.29E-05 ADL FF -9.84661 FF FF 

908 5.40E-05 ADL Dry Scrub FF Catalytic Red -9.82670 Dry Scrub FF Catalytic Red Dry Scrub FF Catalytic Red 

979 6.42E-05 ADL ESP -9.65368 ESP ESP/ESP NH3 

1004 6.59E-05 ADL ESP Catalytic Red -9.62740 ESP Catalytic Red ESP/ESP NH3 

2179 7.29E 05 - ADL ESP -9.52608 9.52608 ESP ESP/ESP NH3 ESP/ESP NH3 2179 7.29E-05 ADL ESP -9.52608 ESP ESP/ESP NH3 

879456 7.67E-05 ADL FF Non Catalytic Red -9.47596 FF Non Catalytic Red FF NH3 

1330 8.35E-05 ADL Dry Scrub ESP Non Catalytic Red -9.39068 Dry Scrub ESP Non Catalytic Red-Out Dry Scrub ESP Non Catalytic Red-Ou

1330 8.35E-05 ADL ESP Wet Scrub Cat Red -9.39068 ESP Wet Scrub Cat Red-Out ESP Wet Scrub Cat Red-Out 

1636 8.45E-05 ADL ESP -9.37921 ESP ESP/ESP NH3 

1636 8.45E-05 ADL ESP -9.37921 ESP ESP/ESP NH3 

1178 8.71E-05 ADL ESP -9.34856 ESP ESP/ESP NH3 

1809 9.20E-05 ADL ESP Catalytic Red -9.29351 ESP Catalytic Red ESP/ESP NH3 

1754 1.04E-04 ADL ESP -9.16750 ESP ESP/ESP NH3 

1286 1.17E-04 ADL ESP -9.05598 ESP ESP/ESP NH3 

632 1.18E-04 ADL FF Non Catalytic Red -9.04546 FF Non Catalytic Red FF NH3 

975 1.18E-04 ADL ESP -9.04419 ESP ESP/ESP NH3 

1471 1.26E-04 ADL ESP-FF -8.98079 ESP-FF ESP-FF 

1471 1.26E-04 ADL ESP-FF -8.98079 ESP-FF ESP-FF 

993 1.36E-04 ADL ESP -8.90632 ESP ESP/ESP NH3 

1111 1.42E-04 ADL ESP -8.86304 ESP ESP/ESP NH3 

1906 1.66E-04 ADL ESP -8.70254 ESP ESP/ESP NH3 

981 1.90E-04 ADL FF Non Catalytic Red -8.56587 FF Non Catalytic Red FF NH3 

8761 2.39E-04 ADL FF -8.33900 FF FF 

1455 2.53E-04 ADL ESP -8.28252 ESP ESP/ESP NH3 

903 3.16E-04 ADL FF Non Catalytic Red -8.05882 FF Non Catalytic Red FF NH3 

876 3.32E-04 ADL FF -8.01169 FF FF 

10000000 1.34E-06 ADL Dry Scrub FF -13.52284 Dry Scrub FF-Out Dry Scrub FF-Out 
Coal Fired Utility Boiler Selenium Emissions Factors by Contro

 

y 

 

  

From File: C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wst

Summary Statistics for Raw Full Data Sets

Variable

NumObs Minimum Maximum Mean Median Variance SD MAD/0.675 S

ESP 38 2.15E-07 2.53E-04 4.75E-05 2.35E-05 3.43E-09 5.86E-05 3.07E-05

Dry Scrub, ESP 1 9.33E-08 9.33E-08 9.33E-08 9.33E-08 N/A N/A N/A N/A 0

ESP, Wet Srub 10 1.44E-07 3.42E-05 1.57E-05 1.85E-05 1.41E-10 1.19E-05 9.93E-06

Dry Scrub, ESP, Non catalytic red 6 6.72E-07 8.35E-05 2.18E-05 1.43E-05 9.65E-10 3.11E-05 1.18E-05

ESP, Catalytic red 3 9.91E-06 9.20E-05 5.59E-05 6.59E-05 1.76E-09 4.19E-05 3.87E-05

ESP, Non catalytic red 3 6.61E-06 4.08E-05 2.35E-05 2.32E-05 2.92E-10 1.71E-05 2.46E-05

ESP, Wet Scrub, Cat red 9 3.23E-06 8.35E-05 1.92E-05 1.14E-05 5.97E-10 2.44E-05 4.30E-06

FF 29 9.21E-08 3.32E-04 2.61E-05 2.68E-06 5.46E-09 7.39E-05 2.51E-06

ESP-FF 7 5.77E-07 1.26E-04 3.84E-05 6.45E-06 3.59E-09 5.99E-05 7.35E-06

FF, Cat red 4 6.31E-06 2.38E-05 1.19E-05 8.71E-06 6.65E-11 8.16E-06 3.11E-06

FF, Non catalytic red 23 1.61E-08 3.16E-04 3.44E-05 2.24E-06 5.93E-09 7.70E-05 3.22E-06

Dry Scrub, FF 34 4.07E-08 4.18E-04 1.31E-05 4.92E-07 5.12E-09 7.16E-05 5.24E-07

Dry Scrub, FF, Catalytic red 15 1.37E-08 5.40E-05 9.41E-06 6.30E-07 3.32E-10 1.82E-05 9.13E-07

Dry , Scrub FF, Non catalytic red 2 1.31E-06 4.61E-06 2.96E-06 2.96E-06 5.45E-12 2.33E-06 2.45 E-06.45

FF, Wet Scrub 13 1.33E-07 2.33E-05 3.91E-06 8.89E-07 4.71E-11 6.86E-06 1.06E-06

FF, Wet Scrub, Non catalytic red 9 8.43E-06 2.37E-05 1.32E-05 9.35E-06 4.10E-11 6.40E-06 1.36E-06 

FF, Wet Scrub, Catalytic red 11 9.77E-07 4.51E-05 1.92E-05 1.85E-05 1.83E-10 1.35E-05 1.60E-05

Venturi Wet Scrub 1 1.64E-05 1.64E-05 1.64E-05 1.64E-05 N/A N/A N/A N/A 0
Coal Fired Utility Boiler Selenium Emissions Factors by Contro

1

4

3

4

5

3

Percentiles for Raw Full Data Sets

Variable

NumObs 5%ile 10%ile 20%ile 25%ile(Q1) 50%ile(Q2) 75%ile(Q3) 80%ile

Dry Scrub, ESP 1 9.33E-08 9.33E-08 9.33E-08 9.33E-08 9.33E-08 9.33E-08 9.33E-08 9

Dry Scrub, ESP, Non catalytic red 6 7.41E-07 8.09E-07 9.46E-07 4.28E-06 1.43E-05 1.62E-05 1.68E-05

Dry Scrub, FF 34 4.94E-08 1.23E-07 1.83E-07 2.17E-07 4.92E-07 1.19E-06 1.37E-06 1

Dry Scrub, FF, Catalytic red 15 1.43E-08 1.48E-08 6.60E-08 1.82E-07 6.30E-07 8.06E-06 1.44E-05 3

Dry Scrub, FF, Non catalytic red 2 1.48E-06 1.64E-06 1.97E-06 2.14E-06 2.96E-06 3.79E-06 3.95E-06

ESP 38 2.05E-06 2.58E-06 3.25E-06 3.69E-06 2.35E-05 8.16E-05 8.61E-05 1

ESP, Catalytic red 3 1.55E-05 2.11E-05 3.23E-05 3.79E-05 6.59E-05 7.90E-05 8.16E-05 8

ESP, Non catalytic red 3 8.27E-06 9.93E-06 1.32E-05 1.49E-05 2.32E-05 3.20E-05 3.38E-05

ESP, Wet Scrub, Cat red 9 5.43E-06 7.63E-06 8.84E-06 8.91E-06 1.14E-05 1.45E-05 1.56E-05 3

ESP-FF 7 8.51E-07 1.12E-06 1.49E-06 1.49E-06 6.45E-06 6.62E-05 1.02E-04 1

FF 29 1.43E-07 3.91E-07 1.02E-06 1.18E-06 2.68E-06 1.05E-05 1.10E-05

FF, Cat red 4 6.40E-06 6.49E-06 6.68E-06 6.77E-06 8.71E-06 1.38E-05 1.58E-05 1

FF, Non catalytic red 23 5.44E-08 6.93E-08 5.90E-07 6.00E-07 2.24E-06 1.48E-05 3.07E-05 1

Venturi Wet Scrub 1 1.64E-05 1.64E-05 1.64E-05 1.64E-05 1.64E-05 1.64E-05 1.64E-05

ESP, Wet Srub 10 1.87E-07 2.30E-07 3.09E-07 4.39E-06 1.85E-05 2.21E-05 2.41E-05 2

FF, Wet Scrub 13 1.56E-07 1.73E-07 1.84E-07 1.92E-07 8.89E-07 3.65E-06 4.74E-06 1

FF, Wet Scrub, Catalytic red 11 1.24E-06 1.50E-06 5.61E-06 1.08E-05 1.85E-05 2.79E-05 2.93E-05

FF, Wet Scrub, Non catalytic red 9 8.43E-06 8.43E-06 8.43E-06 8.43E-06 9.35E-06 1.43E-05 1.81E-05 2
dry scruber ESP

dry scrubber ESP Non catalytic reduction

dry scrubber FF

dry scrubber FF catalytic reduction

dry scrubber FF non catalytic reduction

ESP

ESP catalytic reduction

ESP non catalytic reduction

ESP wet scrubber catalytic reduction

ESP FF

FF

FF catalytic reduction

FF non catalytic reduction

FF wet scrubber non catalytic reduction
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_E

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Number of data = 6

10% critical value: 0.482

5% critical value: 0.56

1% critical value: 0.698

Test Statistic: 0.333

For 10% significance level, -9.390675269 is not an outlier.

For 5% significance level, -9.390675269 is not an outlier.

For 1% significance level, -9.390675269 is not an outlier.

Test Statistic: 0.071

For 10% significance level, -14.21231575 is not an outlier.

For 5% significance level, -14.21231575 is not an outlier.

For 1% significance level, -14.21231575 is not an outlier.

ential Obs. Test Critical Critical

# Mean sdutlier Number value value (5%) value (1%)

1 -14.41 1.6267.779 34 4.079 2.97 3.3

2 -14.61 1.18 1.97 33 2.238 2.95 3.29

3 -14.7 1.098 7.02 1 2.115 2.94 3.27

4 -14.62 1.03 6.88 2 2.193 2.91 3.25

5 -14.54 0.956 6.79 3 2.35 2.91 3.24

For 5% Significance Level, there is 1 Potential Outlier

Therefore, Observation -7.779 is a Potential Statistical Outlier
For 1% Significance Level, there is 1 Potential Outlier

Therefore, Observation -7.779 is a Potential Statistical Outlier

Number of data = 15

10% critical value: 0.472

5% critical value: 0.525

1% critical value: 0.616

Test Statistic: 0.149

For 10% significance level, -9.826704017 is not an outlier.

For 5% significance level, -9.826704017 is not an outlier.

For 1% significance level, -9.826704017 is not an outlier.

Test Statistic: 0.016

For 10% significance level, -18.1075005 is not an outlier.

For 5% significance level, -18.1075005 is not an outlier.

For 1% significance level, -18.1075005 is not an outlier.

ential Obs. Test Critical Critical

# Mean sdutlier Number value value (5%) value (1%)

1 -10.97 1.663 5.35 1 2.635 3.01 3.36

2 -10.85 1.548.283 38 1.67 3 3.34

3 -10.93 1.4988.703 37 1.483 2.99 3.33

4 -10.99 1.47 3.13 2 1.455 2.98 3.32

5 -10.93 1.444 3.09 3 1.501 2.97 3.3

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
Number of data = 3

10% critical value: 0.886

5% critical value: 0.941

1% critical value: 0.988

Test Statistic: 0.150

For 10% significance level, -9.29351481 is not an outlier.

For 5% significance level, -9.29351481 is not an outlier.

For 1% significance level, -9.29351481 is not an outlier.

Test Statistic: 0.850

For 10% significance level, -11.52177912 is not an outlier.

For 5% significance level, -11.52177912 is not an outlier.

For 1% significance level, -11.52177912 is not an outlier.

Number of data = 3

10% critical value: 0.886

5% critical value: 0.941

1% critical value: 0.988

Test Statistic: 0.309

For 10% significance level, -10.10793455 is not an outlier.

For 5% significance level, -10.10793455 is not an outlier.

For 1% significance level, -10.10793455 is not an outlier.

Test Statistic: 0.691

For 10% significance level, -11.92633195 is not an outlier.

For 5% significance level, -11.92633195 is not an outlier.

For 1% significance level, -11.92633195 is not an outlier.

Number of data = 9

10% critical value: 0.441

5% critical value: 0.512

1% critical value: 0.635
Test Statistic: 0.698

For 10% significance level, -9.390675269 is an outlier.

For 5% significance level, -9.390675269 is an outlier.

For 1% significance level, -9.390675269 is an outlier.

Test Statistic: 0.593

For 10% significance level, -12.64174573 is an outlier.

For 5% significance level, -12.64174573 is an outlier.

For 1% significance level, -12.64174573 is not an outlier.

Number of data = 7

10% critical value: 0.434

5% critical value: 0.507

1% critical value: 0.637

Test Statistic: 0.000

For 10% significance level, -8.980787974 is not an outlier.

For 5% significance level, -8.980787974 is not an outlier.

For 1% significance level, -8.980787974 is not an outlier.

Test Statistic: 0.177

For 10% significance level, -14.36474903 is not an outlier.

For 5% significance level, -14.36474903 is not an outlier.

For 1% significance level, -14.36474903 is not an outlier.

ential Obs. Test Critical Critical

# Mean sdutlier Number value value (5%) value (1%)

1 -12.62 1.928.012 29 2.399 2.89 3.22

2 -12.78 1.7748.339 28 2.506 2.88 3.2
3 -12.95 1.575-16.2 1 2.066 2.86 3.18

4 -12.82 1.462-16.2 2 2.31 2.84 3.16

5 -12.69 1.3179.847 27 2.158 2.82 3.14

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Number of data = 4

10% critical value: 0.679

5% critical value: 0.765

1% critical value: 0.889

Test Statistic: 0.616

For 10% significance level, -10.64720528 is not an outlier.

For 5% significance level, -10.64720528 is not an outlier.

For 1% significance level, -10.64720528 is not an outlier.

Test Statistic: 0.070

For 10% significance level, -11.97367608 is not an outlier.

For 5% significance level, -11.97367608 is not an outlier.

For 1% significance level, -11.97367608 is not an outlier.

Number of data = 23

10% critical value: 0.374

5% critical value: 0.421

1% critical value: 0.505

Test Statistic: 0.116

For 10% significance level, -8.058822814 is not an outlier.

For 5% significance level, -8.058822814 is not an outlier.

For 1% significance level, -8.058822814 is not an outlier.

Test Statistic: 0.159

For 10% significance level, -17.94639244 is not an outlier.
For 5% significance level, -17.94639244 is not an outlier.

For 1% significance level, -17.94639244 is not an outlier.

Number of data = 9

10% critical value: 0.441

5% critical value: 0.512

1% critical value: 0.635

Test Statistic: 0.000

For 10% significance level, -10.64833781 is not an outlier.

For 5% significance level, -10.64833781 is not an outlier.

For 1% significance level, -10.64833781 is not an outlier.

Test Statistic: 0.000

For 10% significance level, -11.68418494 is not an outlier.

For 5% significance level, -11.68418494 is not an outlier.

For 1% significance level, -11.68418494 is not an outlier.

Number of data = 10

10% critical value: 0.409

5% critical value: 0.477

1% critical value: 0.597

Test Statistic: 0.047

For 10% significance level, -10.28236236 is not an outlier.

For 5% significance level, -10.28236236 is not an outlier.

For 1% significance level, -10.28236236 is not an outlier.

Test Statistic: 0.096

For 10% significance level, -15.75242166 is not an outlier.

For 5% significance level, -15.75242166 is not an outlier.

For 1% significance level, -15.75242166 is not an outlier.
Number of data = 13

10% critical value: 0.467

5% critical value: 0.521

1% critical value: 0.615

Test Statistic: 0.295

For 10% significance level, -10.66849782 is not an outlier.

For 5% significance level, -10.66849782 is not an outlier.

For 1% significance level, -10.66849782 is not an outlier.

Test Statistic: 0.065

For 10% significance level, -15.83659981 is not an outlier.

For 5% significance level, -15.83659981 is not an outlier.

For 1% significance level, -15.83659981 is not an outlier.

Number of data = 11

10% critical value: 0.517

5% critical value: 0.576

1% critical value: 0.679

Test Statistic: 0.127

For 10% significance level, -10.00645689 is not an outlier.

For 5% significance level, -10.00645689 is not an outlier.

For 1% significance level, -10.00645689 is not an outlier.

Test Statistic: 0.502

For 10% significance level, -13.83845884 is not an outlier.

For 5% significance level, -13.83845884 is not an outlier.

For 1% significance level, -13.83845884 is not an outlier.
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF D

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP - Catalytic reduction ESP

Number of Valid Observations 3 38

Number of Distinct Observations 3 33

Minimum 9.9100E-6 2.1500E-7

Maximum 9.2000E-5 2.5300E-4

Mean 5.5937E-5 4.7548E-5

Median 6.5900E-5 2.3450E-5

SD 4.1942E-5 5.8600E-5

SE of Mean 2.4215E-5 9.5062E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 39 0.242 1.685 0.405

Welch-Satterthwaite (Unequal Varia 2.7 0.322 2.353 0.385

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.7591E-9

Variance of Background 3.4340E-9

Numerator DF Denominator DF F-Test Value P-Value

37 2 1.952 0.793

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP ESP - Non Catalytic Reduction

Number of Valid Observations 38 3

Number of Distinct Observations 33 3

Minimum 2.1500E-7 6.6100E-6

Maximum 2.5300E-4 4.0800E-5

Mean 4.7548E-5 2.3537E-5

Median 2.3450E-5 2.3200E-5

SD 5.8600E-5 1.7097E-5

SE of Mean 9.5062E-6 9.8712E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 39 0.700 1.685 0.244

Welch-Satterthwaite (Unequal Varia 7.1 1.752 1.895 0.061

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.4340E-9

Variance of Background 2.923E-10

Numerator DF Denominator DF F-Test Value P-Value

37 2 11.747 0.163

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Sele

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP - Cat Red ESP - Non Cat Red

Number of Valid Observations 3 3

Number of Distinct Observations 3 3

Minimum 9.9100E-6 6.6100E-6

Maximum 9.2000E-5 4.0800E-5

Mean 5.5937E-5 2.3537E-5

Median 6.5900E-5 2.3200E-5

SD 4.1942E-5 1.7097E-5

SE of Mean 2.4215E-5 9.8712E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 4 1.239 2.132 0.142

Welch-Satterthwaite (Unequal Varia 2.6 1.239 2.353 0.157

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.7591E-9

Variance of Background 2.923E-10

Numerator DF Denominator DF F-Test Value P-Value

2 2 6.018 0.285

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Sele

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP - Cat Red ESP - Non Cat Red

Number of Valid Observations 3 3

Number of Distinct Observations 3 3

Minimum 9.9100E-6 6.6100E-6

Maximum 9.2000E-5 4.0800E-5

Mean 5.5937E-5 2.3537E-5

Median 6.5900E-5 2.3200E-5

SD 4.1942E-5 1.7097E-5

SE of Mean 2.4215E-5 9.8712E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 4 1.239 2.132 0.142

Welch-Satterthwaite (Unequal Varia 2.6 1.239 2.353 0.157

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 1.7591E-9

Variance of Background 2.923E-10

Numerator DF Denominator DF F-Test Value P-Value

2 2 6.018 0.285

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\S

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP ESP - NH3 Injection

Number of Valid Observations 38 6

Number of Distinct Observations 33 6

Minimum 2.1500E-7 6.6100E-6

Maximum 2.5300E-4 9.2000E-5

Mean 4.7548E-5 3.9737E-5

Median 2.3450E-5 3.2000E-5

SD 5.8600E-5 3.3697E-5

SE of Mean 9.5062E-6 1.3757E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 42 0.316 1.682 0.377

Welch-Satterthwaite (Unequal Varia 10.6 0.467 1.796 0.325

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.4340E-9

Variance of Background 1.1355E-9

Numerator DF Denominator DF F-Test Value P-Value

37 5 3.024 0.218

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\S

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP ESP Wet Scrubber

Number of Valid Observations 38 10

Number of Distinct Observations 33 8

Minimum 2.1500E-7 1.4400E-7

Maximum 2.5300E-4 3.4200E-5

Mean 4.7548E-5 1.5741E-5

Median 2.3450E-5 1.8500E-5

SD 5.8600E-5 1.1887E-5

SE of Mean 9.5062E-6 3.7590E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 46 1.694 1.679 0.048

Welch-Satterthwaite (Unequal Varia 45.0 3.111 1.679 0.002

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 3.4340E-9

Variance of Background 1.413E-10

Numerator DF Denominator DF F-Test Value P-Value

37 9 24.303 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File WorkSheet.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP-FF Fabric Filter

Number of Valid Observations 7 29

Number of Distinct Observations 4 26

Minimum 5.7700E-7 9.2100E-8

Maximum 1.2600E-4 3.3200E-4

Mean 3.8351E-5 2.6114E-5

Median 6.4500E-6 2.6800E-6

SD 5.9923E-5 7.3871E-5

SE of Mean 2.2649E-5 1.3718E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 34 0.406 1.691 0.344

Welch-Satterthwaite (Unequal Varia 10.9 0.462 1.796 0.327

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.5907E-9

Variance of Background 5.4569E-9

Numerator DF Denominator DF F-Test Value P-Value

28 6 1.520 0.633

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\S

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP Fabric Filter

Number of Valid Observations 38 29

Number of Distinct Observations 33 26

Minimum 2.1500E-7 9.2100E-8

Maximum 2.5300E-4 3.3200E-4

Mean 4.7548E-5 2.6114E-5

Median 2.3450E-5 2.6800E-6

SD 5.8600E-5 7.3871E-5

SE of Mean 9.5062E-6 1.3718E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 65 1.325 1.669 0.095

Welch-Satterthwaite (Unequal Varia 52.2 1.284 1.675 0.102

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.4340E-9

Variance of Background 5.4569E-9

Numerator DF Denominator DF F-Test Value P-Value

28 37 1.589 0.186

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\S

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF FF - Catalytic Reductio

Number of Valid Observations 29 4

Number of Distinct Observations 26 4

Minimum 9.2100E-8 6.3100E-6

Maximum 3.3200E-4 2.3800E-5

Mean 2.6114E-5 1.1883E-5

Median 2.6800E-6 8.7100E-6

SD 7.3871E-5 8.1571E-6

SE of Mean 1.3718E-5 4.0786E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 31 0.380 1.696 0.353

Welch-Satterthwaite (Unequal Varia 30.9 0.994 1.696 0.164

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 5.4569E-9

Variance of Background 6.654E-11

Numerator DF Denominator DF F-Test Value P-Value

28 3 82.011 0.004

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Dat

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF - Non Catalytic ReductionFF

Number of Valid Observations 23 29

Number of Distinct Observations 20 26

Minimum 1.6100E-8 9.2100E-8

Maximum 3.1600E-4 3.3200E-4

Mean 3.4380E-5 2.6114E-5

Median 2.2400E-6 2.6800E-6

SD 7.7023E-5 7.3871E-5

SE of Mean 1.6060E-5 1.3718E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 50 0.393 1.676 0.348

Welch-Satterthwaite (Unequal Varia 46.4 0.391 1.679 0.349

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 5.9326E-9

Variance of Background 5.4569E-9

Numerator DF Denominator DF F-Test Value P-Value

22 28 1.087 0.824

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.ws

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF - Non Catalytic Reduction FF - Catalytic reduction

Number of Valid Observations 23 4

Number of Distinct Observations 20 4

Minimum 1.6100E-8 6.3100E-6

Maximum 3.1600E-4 2.3800E-5

Mean 3.4380E-5 1.1883E-5

Median 2.2400E-6 8.7100E-6

SD 7.7023E-5 8.1571E-6

SE of Mean 1.6060E-5 4.0786E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 25 0.574 1.708 0.285

Welch-Satterthwaite (Unequal Varia 24.2 1.358 1.711 0.094

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 5.9326E-9

Variance of Background 6.654E-11

Numerator DF Denominator DF F-Test Value P-Value

22 3 89.159 0.003

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF - NH3 Injection FF

Number of Valid Observations 27 29

Number of Distinct Observations 23 26

Minimum 1.6100E-8 9.2100E-8

Maximum 3.1600E-4 3.3200E-4

Mean 3.1047E-5 2.6114E-5

Median 2.2800E-6 2.6800E-6

SD 7.1371E-5 7.3871E-5

SE of Mean 1.3735E-5 1.3718E-5

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 54 0.254 1.674 0.400

Welch-Satterthwaite (Unequal Varia 53.9 0.254 1.674 0.400

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 5.0939E-9

Variance of Background 5.4569E-9

Numerator DF Denominator DF F-Test Value P-Value

28 26 1.071 0.863

Conclusion with Alpha = 0.05

* Two variances appear to be equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\S

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF FF - dry Scruber

Number of Valid Observations 29 33

Number of Distinct Observations 26 32

Minimum 9.2100E-8 4.0700E-8

Maximum 3.3200E-4 6.3200E-6

Mean 2.6114E-5 8.3907E-7

Median 2.6800E-6 4.8500E-7

SD 7.3871E-5 1.1492E-6

SE of Mean 1.3718E-5 2.0005E-7

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 60 1.968 1.671 0.027

Welch-Satterthwaite (Unequal Varia 28.0 1.842 1.701 0.038

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 5.4569E-9

Variance of Background 1.321E-12

Numerator DF Denominator DF F-Test Value P-Value

28 32 4132.103 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\S

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF FF - Wet Scrubber

Number of Valid Observations 29 13

Number of Distinct Observations 26 13

Minimum 9.2100E-8 1.3300E-7

Maximum 3.3200E-4 2.3300E-5

Mean 2.6114E-5 3.9113E-6

Median 2.6800E-6 8.8900E-7

SD 7.3871E-5 6.8623E-6

SE of Mean 1.3718E-5 1.9032E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 40 1.074 1.684 0.145

Welch-Satterthwaite (Unequal Varia 29.1 1.603 1.699 0.060

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 5.4569E-9

Variance of Background 4.709E-11

Numerator DF Denominator DF F-Test Value P-Value

28 12 115.881 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selen

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -10.91 1.593 -15.35 1 2.789 3.08 3.43

2 -10.81 1.475 -8.283 44 1.712 3.07 3.41

3 -10.87 1.439 -13.13 2 1.571 3.06 3.4

4 -10.81 1.411 -13.09 3 1.616 3.05 3.39

5 -10.76 1.381 -12.92 4 1.565 3.04 3.38

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -11.9 1.866 -16.19 1 2.298 2.84 3.16

2 -11.73 1.725 -15.75 2 2.333 2.82 3.14

3 -11.56 1.54 -15.25 3 2.394 2.8 3.11

4 -11.4 1.354 -14.94 4 2.612 2.78 3.09

5 -11.24 1.139 -14.21 5 2.609 2.76 3.06

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -12.48 2.103 -8.012 62 2.123 3.212 3.572

2 -12.55 2.058 -8.059 61 2.183 3.202 3.564

3 -12.62 1.989 -8.339 60 2.154 3.202 3.562

4 -12.7 1.925 -8.566 59 2.147 3.192 3.552

5 -12.77 1.861 -16.75 1 2.14 3.184 3.544

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.54 2.179 -7.779 85 2.646 3.33 3.695

2 -13.61 2.111 -18.11 1 2.129 3.32 3.69

3 -13.56 2.064 -18.05 2 2.176 3.32 3.685

4 -13.5 2.015 -17.99 3 2.228 3.315 3.68

5 -13.45 1.964 -17.95 4 2.29 3.31 3.675

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP, ESP/NH3 ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub

Number of Valid Observations 44 26

Number of Distinct Observations 39 21

Minimum 2.1500E-7 9.3300E-8

Maximum 2.5300E-4 8.3500E-5

Mean 4.6482E-5 1.7738E-5

Median 2.3500E-5 1.4300E-5

SD 5.5626E-5 2.1301E-5

SE of Mean 8.3859E-6 4.1775E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 68 2.522 1.668 0.007

Welch-Satterthwaite (Unequal Varia 60.6 3.068 1.670 0.002

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 3.0942E-9

Variance of Background 4.537E-10

Numerator DF Denominator DF F-Test Value P-Value

43 25 6.819 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wst

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

FF, FF/NH3 FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub

Number of Valid Observations 63 84

Number of Distinct Observations 51 77

Minimum 1.6100E-8 1.3700E-8

Maximum 3.3200E-4 4.1800E-4

Mean 2.9588E-5 1.1590E-5

Median 2.6800E-6 1.0285E-6

SD 7.0451E-5 4.6316E-5

SE of Mean 8.8759E-6 5.0535E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 145 1.866 1.655 0.032

Welch-Satterthwaite (Unequal Varia 100.8 1.762 1.660 0.041

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 4.9633E-9

Variance of Background 2.1452E-9

Numerator DF Denominator DF F-Test Value P-Value

62 83 2.314 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

ESP, ESP/NH3 FF, FF/NH3

Number of Valid Observations 44 63

Number of Distinct Observations 39 51

Minimum 2.1500E-7 1.6100E-8

Maximum 2.5300E-4 3.3200E-4

Mean 4.6482E-5 2.9588E-5

Median 2.3500E-5 2.6800E-6

SD 5.5626E-5 7.0451E-5

SE of Mean 8.3859E-6 8.8759E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 105 1.327 1.659 0.094

Welch-Satterthwaite (Unequal Varia 103.4 1.384 1.660 0.085

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

* Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Variance of Site 3.0942E-9

Variance of Background 4.9633E-9

Numerator DF Denominator DF F-Test Value P-Value

62 43 1.604 0.104

Conclusion with Alpha = 0.05

* Two variances appear to be equal
OFF

95%

0

Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Site or AOC Mean Greater Than the Background Mean

ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet 

Scrub, ESP/NH3/Dry Scrub

Conclusion with Alpha = 0.05

 * Two variances are not equal

C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EFData\_EF_Analysis\Selenium\EF Data.wst

t-Test Site vs Background Comparison for Full Data Sets without NDs

Numerator DF Denominator DF F-Test Value P-Value

83 25 4.728 0

Variance of Site 4.537E-10

Variance of Background 2.1452E-09

Conclusion with Alpha = 0.050

 * Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background

 * Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Test of Equality of Variances

Welch-Satterthwaite (Unequa 92.2 0.938 1.662 0.175

Pooled SD 0.000

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 108 0.654 1.659 0.257

Site vs Background Two-Sample t-Test

H0: Mu of Site - Mu of Background <= 0

t-Test Critical

SD 0.000021301 0.000046316

SE of Mean 4.1775E-06 5.0535E-06

Mean 0.000017738 0.00001159

Median 0.0000143 1.0285E-06

Minimum 9.33E-08 1.37E-08

Maximum 0.0000835 0.000418

Number of Valid Observations 26 84

Number of Distinct Observations 21 77

Area of Concern Data: ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub

Background Data: FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub

Raw Statistics

ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet 

Scrub, ESP/NH3/Dry Scrub

FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet 

Scrub, FF/NH3/Dry Scrub

Selected Null Hypothesis 

Alternative Hypothesis 

Full Precision 

Confidence Coefficient 

Substantial Difference (S) 

User Selected Options

From File 
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_E

Full Precision OFF

Test for Suspected Outliers with Dixon test 1

Test for Suspected Outliers with Rosner test 5

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -11.83 2.058 -16.75 1 2.393 3.397 3.767

2 -11.78 2.02 -16.53 2 2.352 3.396 3.767

3 -11.73 1.975 -16.32 3 2.321 3.396 3.767

4 -11.69 1.931 -16.2 4 2.336 3.387 3.757

5 -11.65 1.888 -16.2 5 2.413 3.387 3.757

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier

Potential Obs. Test Critical Critical

# Mean sd outlier Number value value (5%) value (1%)

1 -13.14 2.221 -7.779 112 2.414 3.414 3.784

2 -13.19 2.181 -18.11 1 2.255 3.411 3.784

3 -13.14 2.139 -18.05 2 2.293 3.411 3.784

4 -13.1 2.096 -17.99 3 2.335 3.404 3.774

5 -13.05 2.052 -17.95 4 2.385 3.404 3.774

For 5% Significance Level, there is no Potential Outlier

For 1% Significance Level, there is no Potential Outlier
From File C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Sel

Full Precision OFF

Confidence Coefficient 95%

Substantial Difference (S) 0.000

Selected Null Hypothesis Site or AOC Mean Less Than or Equal to Background Mean (Form 1)

Alternative Hypothesis Site or AOC Mean Greater Than the Background Mean

Unscrubbed Scrubbed

Number of Valid Observations 106 112

Number of Distinct Observations 86 96

Minimum 5.3100E-8 1.3700E-8

Maximum 3.3200E-4 4.1800E-4

Mean 3.6880E-5 1.2957E-5

Median 6.3100E-6 1.5950E-6

SD 6.5234E-5 4.1408E-5

SE of Mean 6.3361E-6 3.9127E-6

t-Test Critical

Method DF Value t (0.050) P-Value

Pooled (Equal Variance) 216 3.250 1.652 0.001

Welch-Satterthwaite (Unequal Varia 176.1 3.212 1.654 0.001

Pooled SD 0.000

Conclusion with Alpha = 0.050

* Student t (Pooled) Test: Reject H0, Conclude Site > Background

* Welch-Satterthwaite Test: Reject H0, Conclude Site > Background

Variance of Site 4.2555E-9

Variance of Background 1.7147E-9

Numerator DF Denominator DF F-Test Value P-Value

105 111 2.482 0.000

Conclusion with Alpha = 0.05

* Two variances are not equal
Final Recommended Coal Fired Utility Boiler Selenium Emissions Factors (#/mm

2

From File: C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wst

Summary Statistics for Raw Full Data Sets

Variable NumObs Minimum Maximum Mean Median Variance SD MAD/0.675 Skewn

EF #/mmBtu (unscrubbed) 106 5.31E-08 3.32E-04 3.69E-05 6.31E-06 4.26E-09 6.52E-05 8.40E-06

EF #/mmBtu (scrubbed) 112 1.37E-08 8.35E-05 9.24E-06 1.48E-06 2.24E-10 1.50E-05 2.09E-06 

Percentiles for Raw Full Data Sets

Variable NumObs 5%ile 10%ile 20%ile 25%ile(Q1) 50%ile(Q2) 75%ile(Q3) 80%ile 90%

EF #/mmBtu (unscrubbed) 106 2.16E-07 5.92E-07 1.49E-06 2.24E-06 6.31E-06 3.95E-05 6.59E-05 1.18

EF #/mmBtu (scrubbed) 112 4.90E-08 1.35E-07 2.48E-07 4.28E-07 1.48E-06 1.43E-05 1.66E-05 2.37




Publication No. EPA-454/R-11-012

November, 2011

Office of Air Quality Planning and Standards

Air Quality Assessment Division

Research Triangle Park, NC

United StatesEnvironmental ProtectionAgency