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Development of VOC Emissions Estimating
Methodologies for Animal Feeding

Operations

Draft

Prepared by:

U.S. Environmental Protection Agency

Office of Air and Radiation
Office of Air Quality Planning and Standards
109 T.W. Alexander Drive
Research Triangle Park, N.C. 27709

November 2022

This document is a preliminary draft. It has not been formally released by the U. S. Environmental Protection
Agency (EPA) and should not at this stage be construed to represent Agency policy. It is being circulated for
comments on its technical merit.


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Table of Contents

1	INTRODUCTION	1

2	VOC MEASUREMENT AND DATA COLLECTION	2

2.1	NAEMS Monitoring Protocol	3

2.2	NAEMS Initial VOC Characterization Study	3

2.2.1	Methods 4

2.2.2	Results and Conclusions	5

2.3	NAEMS Monitoring	5

2.3.1	Confinement Sites	5

2.3.2	NAEMS Open Source Site	7

2.3.3	KY Sites 8

2.4	Limitations of NAEMS data	9

2.4.1	NAEMS Confinement Canister Samples	9

2.4.2	NMHC samples	10

3	CALLS FOR INFORMATION	11

4	DATA FROM LITERATURE	11

5	PROPOSED ACTION	11

6	REFERENCES	13

List Of Appendices

APPENDIX A:INITIAL VOC CHARACTERIZATION STUDY	A-l

APPENDIX B: VOC DATA SUMMARY	B-l

List of Tables

Table 1-1. NAEMS sites by process group	2

Table 2-1. Characterization report sites and measurements	4

Table 2-2. VOC samples by process group	6

Table 2-3. Summary of NMHC daily average from KY broiler sites	9

Table B-l. Dairy VOC sample data	B-l

Table B-2. Poultry VOC sample data	B-3

Table B-3. Swine VOC sample data	B-5

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GLOSSARY / ACRONYMS

AFO

animal feeding operation

bLS

backward Lagrangian stochastic

CFI

call for information

ch4

methane

EEM

emission estimation method

EPA

Environmental Protection Agency

EtOH

ethanol

FID

flame ion detection

FRM

federal reference method

GC-FID

gas chromatography with flame ion detection

GC-MS

gas chromatography-mass spectrometry

GSS

gas sampling system

H2S

hydrogen sulfide

MeOH

methanol

mL/min

milliliters per minute

N H2SO4

normalized sulfuric acid

NAEMS

National Air Emissions Monitoring Study

nh3

ammonia

nh4+

ammonium

NMHC

nonmethane hydrocarbon

NMVOC

nonmethane volatile organic compounds

PAS

photoacoustic spectroscopy

PIC

path integrated concentration

PM

particulate matter

QAPP

quality assurance project plan

RPM

radial plume mapping

S-OPS

synthetic open-path system

THC

total hydrocarbon

TO

toxic organic

USDA

U.S. Department of Agriculture

VFAs

volatile fatty acids

VOCs

volatile organic compounds

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1 INTRODUCTION

With respect to the definitions of criteria air pollutants, the Environmental Protection
Agency (EPA) defines volatile organic compounds (VOCs) as any compound of carbon,
excluding carbon monoxide, carbon dioxide, carbonic acid, metallic carbides or carbonates, and
ammonium carbonate, which participates in atmospheric photochemical reactions (40 CFR
51.100). The vast array of organic chemical compounds that are classified as VOCs evaporate
easily at room temperature and can contribute to the odor issues associated with animal feeding
operations (AFOs), along with ammonia (NH3) and hydrogen sulfide (H2S). As the science has
advanced, the list of VOCs associated with AFOs has grown to more than 500 compounds
(Schiffman et al., 2001; Ni 2015). Many of these detected compounds occur at very low
concentrations, which makes their measurement difficult and expensive (Janni, 2020). Among
the VOCs found at AFOs that contribute to odor are volatile fatty acids (VFAs), alcohols,
aldehydes, amides, amines, aromatics, esters, ethers, fixed gases, halogenated hydrocarbons,
hydrocarbons, ketones, nitriles, other nitrogen-containing compounds, phenols, sulfur-containing
compounds, steroids, and other compounds (Janni, 2020). Since these compounds are closely
associated with odor issues, many studies only report VOC concentration in odor units, or
correlate concentrations with odor concentrations (Ni, 2015).

VOCs are emitted by several sources on AFOs, including animal eructation and
exhalation, animal waste in animal pens, flushing lanes, lagoons, silage storage piles and silos,
and feed mixtures in feed lanes and bunks (Alanis et al., 2008; Chung et al., 2010). Recent
studies at dairies found that VOC concentrations were higher near silage and piles of animal feed
(Alanis et al., 2008; Chung et al., 2010; Malkina et al., 2011; Yuan et al., 2017). Yuan et al.
(2017) found the percent contribution of the various farm sources (e.g., silage, and animal waste)
to VOC emissions could vary by compound and animal type. The complexity of VOC emissions
from AFOs make it a topic of continued study.

This report outlines the methods used to monitor VOC emissions during the National Air
Emissions Monitoring Study (NAEMS), as well as a summary of the data collected, and the
limitations of that data. Finally, the report concludes by outlining options for moving forward for
initial informal comment by stakeholders.

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2 VOC MEASUREMENT AND DATA COLLECTION

As noted in the process overview report, the 2005 Air Compliance Agreement
(Agreement) included a monitoring protocol outlining the pollutants and measurement
methodologies to be used in the NAEMS. The monitoring protocol was developed by a broad
array of stakeholders that included representatives from the AFO industry; university, United
States Department of Agriculture (USDA) and EPA scientists; state and local air quality
agencies, and environmental organizations. The monitoring protocol identified a comprehensive
list of parameters that were to be monitored to provide a greater understanding and accurate
characterization of emissions from AFOs. By monitoring these parameters, the stakeholders
believed that the EPA would have the necessary information to develop emission estimation
methods (EEMs) for uncontrolled emissions of particulate matter (PM), NH3, H2S, and VOCs
from AFOs.

The monitoring protocol provided guidance on the number, type and geographical
locations of confinement houses and open sources (lagoons and basins) that should be monitored
in the NAEMS. The farms that were monitored were selected by the study's Science Advisor,
Dr. A1 Heber, and approved by the EPA. Table 1-1 provides a summary of the sites by animal
and structure type monitored. The monitoring protocol also identified specific methodologies for
measuring emissions from confinement houses and open sources. Confinement houses were to
be monitored for PM, NH3, H2S and VOC emissions, while open sources were to be monitored
forNEb, EhS and VOC emissions.

Table 1-1

. NAEMS sites by process group

Animal - Process

Structure type

Sites

Swine - Breeding Gestation

Gestation barn

IA4B, NC4B, OK4B

Swine - Breeding Gestation

Farrowing room

IA4B, NC4B, OK4B

Swine - Breeding Gestation

Open source

IN4A, NC4A, OK4A

Swine - Grow-Finish

Finishing barn

IN3B, NC3B

Swine - Grow-Finish

Open source

IA3B, NC3A, OK3A

Poultry - Broiler

House

CA1B, KY1B-1, KY1B-2

Poultry - Egg layer

Manure belt house

IN2B

Poultry - Egg layer

Manure Shed

IN2B

Poultry - Egg Layer

High rise house

CA2B, IN2H, NC2B

Dairy

Mechanically ventilated barn

IN5B, NY5B, WI5B

Dairy

Milking center

IN5B, NY5B, WI5B

Dairy

Naturally ventilated barn

CA5B, WA5B

Dairy

Open source

IN5A, TX5A, WA5A, WI5A

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2.1	NAEMS Monitoring Protocol

The Agreement's monitoring protocol (70 FR 4957, Attachment B) specified that an
initial VOC characterization study was to be conducted on a barn for each animal sector
participating in the NAEMS. The characterization study was to be conducted on a day during the
first month at the first monitored site for an animal sector. Along with building airflow rate, total
non-methane hydrocarbons (NMHC) were to be continuously monitored using a dual-channel
flame ionization detector (FID) analyzer (EPA Federal Reference Method (FRM) 25A). VOCs
were to be sampled with replication at two barns using Silcosteel canisters, and all-glass
impingers (modified EPA FRM 26). Each VOC sample was to be evaluated using concurrent gas
chromatography-mass spectrometry (GC-MS) and gas chromatography with flame ion detection
(GC-FID) for toxic organic (TO) compounds (EPA Method TO-15) and other FID-responding
compounds. VOC mass was to be calculated as the sum of individual analytes. The 20 analytes
making the greatest contribution to total mass were to be identified during the initial
characterization study. A sampling method that captures a significant fraction of the VOC mass
was to be chosen for the remainder of the study.

The monitoring protocol specified that after the initial VOC characterization study, the
selected VOC sampling method would be used to collect quarterly VOC samples at all sites,
along with continuous FRM 25 A monitoring at a single site for each animal sector. The FRM
25A measurements were to be corrected from an "as carbon" basis to a total VOC mass basis by
multiplying them by the mean molecular weight per carbon atom established by GC-MS
evaluations during applicable intervals of time.

For open sources, the monitoring protocol specified that samples of the lagoon/basin
liquid were to be collected and analyzed for VOC, and the EPA model WATER9 was to be used
to estimate emissions based on measured VOC values. The monitoring protocol did not specify
either sampling frequency or analytical methodology.

2.2	NAEMS Initial VOC Characterization Study

The confinement source quality assurance project plan (QAPP) (Heber et al., 2008)
further specified the collections methods of the characterization study to note VOCs were
sampled from one site per species at the barn's primary representative exhaust fan using three
different methods: sorbent tubes, canisters, and all glass impingers. The methods were elaborated

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on in the "Initial VOC Characterization Study for the NAEMS", which was provided on April
27, 2009 (available in Appendix A) and is summarized in the following sections.

2.2.1 Methods

Sorbent tube samples were collected through the gas sampling system exhaust/odor port
using a method that allowed the incoming airstream to be split into two roughly equal
substreams. Each of these substreams flowed through two pairs of sorbent tubes connected in
series. The second tube in the series served as a "breakthrough" tube for the first tube. Additional
studies were conducted to determine the optimal length of time for sampling to avoid ice
formation in the sample inlet due to excessive water in the tubes. These studies showed that 30
min of sampling time provided an additional margin of safety, while still yielding quantifiable
levels of VOCs.

Canister sampling was conducted for 24 hours, with 6-liter TO-Can Canisters (Restek
Corp, Bellefonte, PA. The flow controllers on the canisters were pre-set in the lab to deliver a
flow of approximately 3 milliliters per minute (mL/min). The impinger sampling was conducted
using midget (30 mL) all-glass impingers (Ace Glass, Vineland, NJ), with four impingers
connected in series. The first two impingers contained 15 mL of 0.1 N H2SO4 for sample
collection. The third impinger was a blank to avoid spillover of trapping solution into the fourth
impinger, which contained a moisture trap. The impingers collected samples over a two-hour
period.

The samples were collected at four NAEMS sites, one for each animal species included
in NAEMS. Table 2-1 summarizes the sites monitored for the characterization study, and the
measurements taken at each. The characterization study did not include any open sources (i.e.,
lagoons, basins, or corrals).

Table 2-2. Characterization report sites and measurements

Animal - Process

Structure type

Sites

Measurements

Swine - Grow-Finish

Finishing barn

IN3B

10/23/08 Canisters, sorbent tubes

Poultry - Broiler

House

CA1B

11/18/08 Canisters, sorbent tubes, impingers
12/2/08 Sorbent tubes

Poultry - Egg Layer

High rise house

IN2H

11/5/08 Canisters, sorbent tubes, impingers
11/13/08 Sorbent tubes

Dairy

Mechanically
ventilated barn

IN5B

10/15/08 Canisters, sorbent tubes, impingers
10/29/08 Sorbent tubes, impingers

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2.2.2 Results and Conclusions

The impinger sampling detected no significant peaks, other than ammonium (NH4+), and
were not considered for further sampling. The primary focus of the characterization study
analysis were the canister and sorbent tube samples.

The characterization study found the canisters were typically more effective at capturing
compounds than sorbent tubes across the sites, especially for the compounds in the 90% mass
groups for CA1B and IN5B, and for the single most-dominant compound (isopropyl alcohol) at
IN2H. The exception was IN3B, where better performance of tubes relative to canisters was
seen. This was attributed to one tube sample containing significantly elevated levels of most
analytes relative to the others, thus inflating the average tube-sample yield.

The characterization study did note there were several problems encountered with tube
sampling, including several samples with sufficient moisture that either could not be analyzed
(due to freezing of the GC inlet), or gave extremely distorted chromatograms. The study also saw
breakthrough tubes with non-negligible levels of some analytes, which indicates trapping by the
primary tube was incomplete.

The Science Advisor selected canister sampling over sorbent tubes due to better
performance in measuring target compounds and being less challenging to operate.

2.3 NAEMS Monitoring
2.3.1 Confinement Sites

The confinement source QAPP (Heber et al., 2008) noted quarterly VOC samples using
the selected VOC sampling method from the characterization study were to occur at all sites.
Continuous monitoring for total non-methane VOC (NMVOC), and methanol (MeOH)and/or
ethanol (EtOH), was planned to be conducted at a minimum of one site per species for the
duration of the study.

For the continuous measurements, the QAPP (Heber et al., 2008) indicates that
concentrations of total NMHC were to be measured using either the INNOVA Model 1412 or a
TEI Model 55C. The TEI Model 55C were scheduled to be used at one swine site (IN3B), two
dairy sites (CA5B and IN5B), and one layer site (IN2B) as a check on the performance of the
INNOVA.

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NAEMS confinement sites followed the QAPP and used the INNOVA analyzed NMHC
concentrations by measuring total hydrocarbon (THC) and subtracting EtOH and methane. (CH4)
The THC data was questionable, however, due to irreconcilable interferences by water vapor and
other gases. Therefore, the VOC-related gas emissions measured by the INNOVA were not
included in the final reports or data deliveries to EPA. The Science Advisor also found that
continuous NMHC concentrations obtained using the TEI 55C were biased low due to its
inability to detect oxygenated VOC. This low bias would have been present in both inlet and
exhaust air concentrations. Total nonmethane hydrocarbon (TNMHC) data from IN3B and IN5B
were provided in the final reports. This left VOC data obtained using the canisters and analyzed
with the GC-MS as the only VOC data provided by the NAEMS effort.

The canister sampling frequency specified in the QAPP resulted in only seven sampling
events per site. Between January 1, 2009, and October 7, 2010, approximately 7 canisters
samples (24-hour sampling period) taken at each NAEMS barn site. Table 22 summarizes the
number of valid emissions values. There are between 7 and 39 samples for any structure type
monitored under NAEMS. As a comparison, the next small pollutant data set was PM2.5, which
also had a limited collection schedule that resulted in a dataset that ranged from 30 (layer manure
shed) to 683 (broiler) daily observations for each structure type. However, unlike VOCs, PM2.5
has an advantage in that decisions about parameters affecting PM2.5 emission could be drawn
from the more plentiful PM10 data, since PM2.5 is a subset of PM10. The emissions estimates
derived from the canister samples are provided in Appendix B.

Table 2-3. VOC samples by process group

Animal - Process

Structure type

Number of Samples

Swine - Breeding Gestation

Gestation barn

30

Swine - Breeding Gestation

Farrowing room

12

Swine - Grow-Finish

Finishing barn

39

Poultry - Broiler

House

13

Poultry - Egg layer

Manure belt house

14

Poultry - Egg Layer

High rise house

34

Poultry - Egg Layer

Pit of high rise house

7

Dairy

Mechanically ventilated barn

32

Dairy

Milking center

8

Dairy

Naturally ventilated barn

15

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The Science Advisor allocated four canisters for each sampling event, which were used to
obtain measurements of exhaust air only. There were no inlet air or background concentrations
obtained with the canisters, except at CA5B. This means the estimates of VOC emissions
provided were gross emissions, where the emissions reported assume zero VOC in the inlet air
and thus are a worst-case scenario (i.e., assumes all VOCs monitored are from the source). Inlet
sampling at CA5B suggested net emissions were only a small fraction of gross emissions (on
average, 22%). It is possible that the particularly low contribution of the CA5B barn might be
atypical, as there might have been interference in the measurements from an upwind dairy
exercise yard in combination with the additional challenges associated with upwind and
downwind sampling at naturally ventilated barns. In light of this, it is hard to conclude all
monitored structures would have a similar small contribution to gross emissions.

2.3.2 NAEMS Open Source Site

Due to the nature of the open-source emission methodology, the same VOC sampling
method could not be used to determine VOC emissions as was used for confinement sources
(i.e., 24-hour sampling collection). As noted in Section 2.1, the Agreement's monitoring protocol
specified that to estimate VOC emissions from lagoons, samples of the lagoon liquid would be
collected and analyzed for VOC, and the WATER9 model would be used to estimate emissions
based on measured VOC concentrations, pH, and other factors. However, the open source QAPP
(Grant, 2008) proposed a revised method due to difficulties in validating the WATER9 model.
The QAPP proposed that emissions of VOCs would be estimated based on synthetic open-path
sampling (S-OPS) in conjunction with a gas sampling system (GSS), photoacoustic spectroscopy
(PAS), and one to three 3D wind velocity measurements near the surface. The choice of the
photoacoustic multi-gas analyzer for the VOC measurements was chosen based on the ability to
make continuous accurate measurements of multiple VOCs in combination with NH3.
Specifically, the QAPP noted the measurements of CH4, EtOH, MeOH, and residual VOC
concentration (as well as NH3 and water vapor concentration and barometric pressure) would be
made using PAS, following the Standard Operating Procedure for the Operation of the INNOVA
1412 Photoacoustic multi-gas analyzer (SOP G7).

The concentration measurements would be combined with modeling, either inverse
dispersion analysis using a backward Lagrangian stochastic method (bLS) or Radial Plume
Mapping (RPM), to estimate the VOC emissions. Emissions of CH4, THC, MeOH and EtOH

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were to be calculated using the bLS method or the ratio of VOC measured by PAS from air
sampled by the S-OPS to the nearest equivalent NH3 path integrated concertation (PIC)
multiplied by RPM calculated emissions of NH3. NMHC emissions were to be calculated by
adding the MeOH and EtOH emissions to the THC emissions.

Ultimately, no VOC, CH4, THC, MeOH, EtOH, or NMHC values for open-source sites
were reported to EPA. Initial efforts with the INNOVA 1412 had interferences by water vapor
and other gases, similar to the barn measurement attempts. An email from the Science Advisor
did note that an attempt was made to use a TEI Model 55C, in lieu of the INNOVA 1412, at
IN5A for the Fall and Winter of 2009-2010. However, no flux estimates of NMHC were made.

2.3.3 KY Sites

As described in the process overview report, two additional broiler sites in KY from a
Tyson Foods study were included in NAEMS, as the study was developed to be consistent with
NAEMS QAPP and provided to EPA for review. Unlike the other NAEMS sites, the QAPP for
the KY sites (Moody et al., 2008) specified that THC, CH4, and NMVOC component emissions
from the confinement houses would be measured continuously by both an INNOVA 1412
Photoacoustic Multi-gas Monitor and a VIG Industries, Inc. Model-200 total hydrocarbon gas
analyzer. According to the QAPP, the INNOVA 1412 was initially intended to be used to
measure NH3 and carbon dioxide emissions. However, the VIG Model-200 was unable to
achieve the 75% data completeness criteria during the first two months of the study. To address
the VOC data completeness issue, the INNOVA 1412 was fitted with additional filters that
enabled it to measure CH4 and NMHC in addition to NH3 and carbon dioxide.

At the KY sites, an initial characterization study to characterize the speciation of NMHC
emitted from the facilities was performed. Stainless steel canisters (Entech Instruments, Inc.,
Simi Valley, CA) were used to collect the air samples from the two broiler houses (Burns et al.,
2009). A GC-MS method was used to speciate the NMHC compounds. A solid sorbent method
(TO-17) was used simultaneously to collect the air samples on glass sorbent tubes containing
Carbopack X and Carbopack C (2:1 packing volume) custom-made by Supelco, Inc. (Bellafonte,
PA) with a GS 301 gas sampler (Gerstel, Inc., Baltimore, MD). Two collection and speciation
trials were conducted on April 19, 2006, at Tyson 3-3 (empty house) and Feb 6, 2007, at Tyson
1-5 (with birds in house). The air samples were collected from nine different locations

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throughout the whole house, including each air sampling location. The top 25 compounds were
speciated with the TO-15 & TO- 17 methods.

During the study, ambient background was not sampled for NMHC (Burns et al., 2009).
The researchers assumed that background ambient air consisted of the same NMHC compounds
emitted from the houses. They also assumed that the empty house and occupied house had
similar chemical profiles for detectable compounds, but the concentrations would change
between the empty or occupied house (Burns et al., 2009). As detailed in the QAPP, the
confinement house VOC emissions were measured continuously by the INNOVA 1412 and VIG
Model-200. However, the data collected by the INNOVA was not reported in the final report
because the researchers determined that water vapor caused interference problems with the
INNOVA. All the NMHC data presented in the Tyson Foods final report was collected using the
VIG Model-200. Despite initial completeness issues with the VIG Model-200, the Tyson study
provided NMHC estimates for most of the days on site (Table 2-3). These data are provided in
Appendix C. As Section 2.4.2 will detail these continuous NMHC measurements had issues
measuring the oxygenated hydrocarbon component of the total VOC.

Table 2-4. Summary of NMHC daily average from KY broiler sites

site

house

Days on Site

Number of daily averages

KY1B-1

H5

394

280

KY1B-2

H3

379

227

2.4 Limitations of NAEMS data

The limited quantity of VOC and NMHC samples for the NAEMS sites is problematic
for EEM development. In addition, there are quality issues associated with the emission
estimates submitted to EPA. The following sections summarize the quality issues with the data
collected.

2.4.1 NAEMS Confinement Canister Samples

Canisters work well for many non-polar compounds but can have low recoveries of
certain compounds including polar compounds such as phenols, indoles, and VFAs (Wang and
Austin, 2006). Sorbent tubes can collect a wide range of VOCs including polar VOCs; however,
sorbent tubes are more challenging to use due to water sorption in humid environments and
artifact formation, as seen during the NAEMS characterization study. The difficulty in collection

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with sorbent tubes contributed to the decision to solely use canisters for VOC collection for the
study.

A lingering question from NAEMS was whether the canister alone sufficiently captured
VOC concentration at the farms. Shortly after the conclusion of NAEMS, USDA Agricultural
Research Service (ARS) scientists published a study (Trabue et al., 2010), which examined the
type of VOCs emitted from a broiler house using canisters and sorbent tubes simultaneously.
Trabue et al. (2010) concluded that neither sorbent tubes nor canisters were only able to capture
more than 55% of VOCs present in the house, when considered separately. The implication is
that the collection of VOCs by canister during the NAEMS could underpredict total VOC
concentration. This coupled with the lack of an inlet measurement, which can contribute a
significant portion of VOCs, adds to the uncertainty of the VOC emission estimates generated
during NAEMS.

2.4.2 NMHC samples

As noted in section 2.3, three sites (CA1B, IN2H and IN3B) analyzed NMHCs using the
INNOVA instrument by measuring THC and subtracting EtOH and CH4. Following the
NAEMS, the science advisor noted the emissions are inaccurate due to the inaccurate
measurement of oxygenated hydrocarbons due to irreconcilable interferences by water vapor and
other gases. Similarly, the continuous NMHC measurements from the KY sites measured with
the VIG-200 instrument also inaccurately measures the oxygenated hydrocarbon component. The
KY measurements were also reported in units of propane, which is different from the NAEMS
and add a further challenge to integrate the data.

After the NAEMS, a study led by USDA-ARS scientists (Trabue et al., 2013) examined
three different commercial NMHC analyzers methods to determine their ability to measure
VOCs. Included in the methods studied were the GC/FID model 55C and PA-IR model 1412
(INNOVA model 1412), which were used by NAEMS. The study concluded that NMHC
analyzers under-report total VOC concentrations when the compound profiles have significant
levels of polar compounds, like at AFOs. The implication is that any NAEMS measurements,
including the KY sites, would be an underestimation of NMHC and VOCs for the sites.

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3	CALLS FOR INFORMATION

As part of the NAEMS effort, EPA issued two calls for information (CFI) to collect any
additional data that should be considered in developing the NAEMS based EEMs. The first CFI
issued in January of 2011, (https://www.regulations.gov/docket/EPA-HQ-OAR-2010-0960) was
a broad call for quality-assured emissions and process data relevant to developing EEMs for any
pollutant. The second CFI in issued in September of 2019 focused on VOC data for EEM
development. Both CFIs yielded several peer reviewed journal articles that contained aggregated
VOC emission rates. Under the second CFI, a commentor provided data from the South Lakes
Dairy VOC Emission Characterization Report, which was conducted for the Center on Race,
Poverty, and the Environment for use in the Association of Irritated Residents v. Fred Schakel
Dairy lawsuit. The study was conducted over a two-day period, October 18-19, 2007, with
emissions collected via flux chambers, sorbent tubes, and GC-MS. Results from the study were
provided as speciated emission rates and factors for various components of the farm. No
additional VOC data sets that could be used in an EEM development process like other pollutant
collected during NAMES were offered under either of the CFIs.

4	DATA FROM LITERATURE

As noted in the introduction, VOC is a complex pollutant as it is the combination of
several hundred compounds that can vary depending on the source (animal type and location on
the farm) as well as farm conditions, such as meteorological conditions and feed type. Most
research on VOC from AFOs is focused on odor or odor mitigation/abatement. As such, results
provided in literature are typically in concentration (ppb, etc.) or odor units (OU). Obtaining an
accurate estimate of airflow, or ventilation rate, further complicates the ability of researchers to
report emissions of VOCs from various farm sources. In a critical review of swine VOC
literature, Ni (2012)found only 8% of articles reported VOCs in terms of an emission rate for the
farm. This lack of reported VOC emission rate complicates the ability to use information from
peer reviewed journal articles to develop emission estimation methods.

Additionally, studies often focus on the most odorous, prevalent, or reactive compounds
founds at AFOs, instead of total VOC. While not providing a complete picture of VOCs at
AFOs, these studies do provide insight into the compounds of key interest to public health and
ozone formation.

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Appendix D contains an initial list of information collected from literature to utilize in
method development, both total VOC estimates and estimates for individual compounds found
on AFOs.

5 PROPOSED ACTION

NAEMS is one of the most comprehensive AFO monitoring studies to date. However, the
NAEMS VOC data lack the quality and quantity to develop a total VOC EEMs using a similar
statistical modeling process utilized for the other pollutants. At this time, EPA is continuing to
search literature for data, both total VOC and individual compounds, that can be used to develop
an emission estimation method based on subsequent studies that built off the lessons learned in
NAEMS. This report summarizes our initial data findings as a progress report for the study. EPA
continues to review additional data sources and is working toward providing an estimation
method for AFOs to use in evaluating whether they trigger Clean Air Act thresholds. EPA plans
on releasing an updated draft with this estimation method in by summer 2023.

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6 REFERENCES

Alanis, P., Sorenson, M., Beene, M., Krauter, C., Shamp, B. and Hasson, A.S., 2008.

Measurement of non-enteric emission fluxes of volatile fatty acids from a California
dairy by solid phase micro-extraction with gas chromatography/mass
spectrometry. Atmospheric Environment, 42(26), pp.6417-6424.

Burns, Robert T.; Xin, Hongwei; Gates, Richard S.; Li, Hong; Moody, Lara B.; Overhults,

Douglas G.; Earnest, John W.; Hoff, Steven J.; and Trabue, Steven (2009). "Southeastern
Broiler Gaseous and Particulate Matter Emissions Monitoring". Agricultural and
Biosystems Engineering Technical Reports and White Papers. 7.
http://lib.dr.iastate.edu/abe eng reports/7

Chung, M.Y., Beene, M., Ashkan, S., Krauter, C. and Hasson, A.S., 2010. Evaluation of non-
enteric sources of non-methane volatile organic compound (NMVOC) emissions from
dairies. Atmospheric Environment, 44(6), pp.786-794.

Grant, R.H., Grant, R., Heber, A., Nizich, S. and Papp, M., Quality Assurance Project Plan for
the National Air Emissions Monitoring Study: Micrometeorological Component.

Heber A.J., Ni, J-Q., Ramirez, J.C., Schrock, W., & Elkins, J., 2008. Quality assurance project
plan for the National Air Emissions Monitoring Study: Barn Component. Purdue
University.

Janni, K., 2020. Reflections on odor management for animal feeding

operations. Atmosphere, 11(5), p.453. https://doi.org/10.3390/atmosll050453

Malkina, I.L., Kumar, A., Green, P.G. and Mitloehner, F.M., 2011. Identification and
quantitation of volatile organic compounds emitted from dairy silages and other
feedstuffs. Journal of environmental quality, 40(1), pp.28-36.

Moody, L.B., Li, H., Burns, R.T., Xin, H., Gates, R.S., Hoff, S.J. and Overhults, D., 2008. A
quality assurance project plan for monitoring gaseous and particulate matter emissions
from broiler housing. Am. Soc. Agric. Biol. Eng, pp.1-27.

Ni, J. Q., W. P. Robarge, C. Xiao, and A. J. Heber. "Volatile Organic Compounds at Swine
Facilities: A Critical Review." Chemosphere 89, no. 7 (Oct 2012): 769-88.
https ://doi. org/10.1016/j. chemosphere.2012.04.061.

Ni, J.Q., 2015. Research and demonstration to improve air quality for the US animal feeding
operations in the 21st century-A critical review. Environmental pollution, 200, pp. 105-
119.

Schiffman, S.S., Bennett, J.L. and Raymer, J.H., 2001. Quantification of odors and odorants

from swine operations in North Carolina. Agricultural and Forest Meteorology, 108(3),
pp.213-240.

Trabue, S., Scoggin, K., Li, H., Burns, R., Xin, H. and Hatfield, J., 2010. Speciation of volatile

organic compounds from poultry production. Atmospheric environment, 44(29), pp.3538-
3546.

Trabue, S., Scoggin, K., McConnell, L.L., Li, H., Turner, A., Burns, R., Xin, H., Gates, R.S.,
Hasson, A., Ogunjemiyo, S. and Maghirang, R., 2013. Performance of commercial
nonmethane hydrocarbon analyzers in monitoring oxygenated volatile organic

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compounds emitted from animal feeding operations. Journal of the Air & Waste
Management Association, 63(10), pp.1163-1172.

Wang, D.K.W. and Austin, C.C., 2006. Determination of complex mixtures of volatile organic
compounds in ambient air: canister methodology. Analytical and bioanalytical
chemistry, 386(4), pp. 1099-1120.

Yuan, B., Coggon, M.M., Koss, A.R., Warneke, C., Eilerman, S., Peischl, J., Aikin, K.C.,
Ryerson, T.B. and de Gouw, J.A., 2017. Emissions of volatile organic compounds
(VOCs) from concentrated animal feeding operations (CAFOs): chemical compositions
and separation of sources. Atmospheric Chemistry and Physics, 17(8), pp.4945-4956.

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Appendix A: Initial VOC Characterization Study

A-l


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Initial VOC Characterization Study
for the

National Air Emissions Monitoring Study
Albert J. Heber, Bill Bogan and Changhe Xiao
April 27, 2009

Methodology

As specified in the QAPP, VOC's were sampled from one site per species at the barn's primary
representative exhaust fan using sorbent tubes (SOP VI), canisters (SOP V2) and all glass
impingers (SOP V3).

Following several pilot tests of sorbent tubes, the type selected was the 6 mm x 7" TDS tube
(Carbotrap 300, Gerstel Inc, Linthicum, MD). Sorbent tube samples were collected through the
GSS exhaust/odor port using a sampling box that allowed the incoming airstream to be split into
two roughly-equal substreams. Each of these substreams flowed through two pairs of sorbent
tubes connected in series such that the second tube served as a "breakthrough" tube for the first
tube. Target flow rate was 50 mL/min for each substream. All tubing and fixtures upstream of
(and between) the two sorbent tubes were Teflon. Studies were conducted to determine the
optimal length of time for sorbent tube sampling to avoid ice blockage of the GC/MS sample
inlet due to excessive water in the tubes. These studies showed that sampling from sites IN3B
and IN2H should have maximum sampling times of 40-45 min to avoid excessive water, and that
30 min of sampling time provided an additional margin of safety, while still yielding quantifiable
levels of VOCs. Simultaneously, based on recommended levels of water that could be introduced
without freezing the inlet, psychrometric calculations based on measured sample RH and T (from
AirDAC) were used on-site to ensure that excess water would not be trapped.

Canister sampling was conducted with 6-L TO-Can Canisters (Restek Corp, Bellefonte, PA),
equipped with 1/4" Swagelok SS4H Bellows Valves and 30-psig vacuum pressure gauges.
Sampling trains contained Veriflo 423XL flow controllers with 2- to 4-sccm critical orifices and
7-|im in-line stainless steel filters. Flow controllers were pre-set in the lab to deliver
approximately 3 mL/min. Canister sampling was conducted for 24 h, and the pressure of the
canister was recorded at the beginning and end of the sample period for calculation of total
sampled volume.

Impinger sampling was conducted using midget (30 mL) all-glass impingers (Ace Glass,
Vineland, NJ). For each sample collected, four impingers were connected in series, with the first
two each containing 15 mL of 0.1 N H2SO4. The third impinger was a blank to avoid spillover of
trapping solution into the fourth impinger, which contained a moisture trap (approximately 20 g
of dried silica gel). The inlet of the first impinger was connected to a Teflon filter holder
containing a 47-mm PTFE filter membrane (1.0-[j,m pore size), and the outlet of the last impinger
was connected first to a 0-5 L/min rotameter, and then to a sampling pump. All connections
upstream of the last impinger were Teflon. The sampling pump was set to pull 2 L/min through
the impinger train; this flow rate was checked several times during each two-hour sampling
period to ensure that it was maintained.

1


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Sites sampled, dates, and methods used are as follows:

IN2H

11/5

Canisters, sorbent tubes, impingers



11/13

Sorbent tubes

IN3B

10/23

Canisters, sorbent tubes

IN5B

10/15

Canisters, sorbent tubes, impingers



10/29

Sorbent tubes, impingers

CA1B

11/18

Canisters, sorbent tubes, impingers



12/2

Sorbent tubes

All the sorbent tube and canister samples were analyzed (SOPs V4 & V6) on an Agilent Model
6890N GC coupled with a Model 5795 MS equipped with a Gerstel TDS-G sample inlet and
manual sample introduction. The Electronic Impact mode was utilized. A temperature gradient
from 34°C to 250°C was used to separate the compounds. The analytical results were analyzed
by ChemStation, and all integrations were manually checked. This method used an external
standard compound for instrumental monitoring, instead of an internal standard. This was
necessary to avoid losses of low-molecular-weight analytes, which would occur in the purging of
any solvent used to introduce the internal standard(s).

Emissions calculations for tube samples were conducted. The mass concentration was
determined by dividing the mass of a compound detected on the sorbent tube by sampled volume
(flow through tube series in mL/min times sampling duration in min). The daily emitted mass
was the mass concentration multiplied by barn airflow for the sampling period. The annual
emission rate was estimated by multiplying the daily emitted mass by the number of days of
sampling (1440/sampling duration in minutes) and by 365.

Canister sample analyte concentrations (corrected for dilution necessary to pressurize the
canister for sample transfer to the GC) were multiplied by barn airflow for the 24-hour sampling
period to yield a daily emission rate, which was then multiplied by 365 to give the annual
emission rate.

Impinger samples were analyzed (SOP V5) on a Dionex Ion Chromatograph (IC) which consists
of a GP50 solvent delivery system, a CD25 conductivity detector, and an autosampler. The IC
was equipped with a CS18 cation column and CSRS -II suppressor. The gradient elution ran
from 0.5 mM methyl sulfonic acid (MSA) to 30 mM at 0.3 mL/min. The suppressor current was
set at 80 mA. The injection volume was 10 |j,L. No compounds other than ammonia were
detected in any of the impinger samples.

Results

Broilers (CA1B)

Of the samples collected, three sorbent tube samples from Barn 12 (two on 12/2 and one on
11/18) gave quantifiable results, along with all four canisters 11/18. Emissions rates based on
these samples are reported in Table 1.

2


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A total of 26 compounds were each detected in at least one exhaust sample. Canister samples
yielded greater annual emission rates for 24 of the 26 compounds. The only exceptions were two
low-level compounds (dimethyl sulfone and indole) that were undetected in the canisters. By
contrast, 17 of the compounds were undetected in any of the sorbent tubes. Fourteen of the 26
compounds contributed to the 90% cumulative mass, led by dimethyl sulfide (21.9%), isopropyl
alcohol (17.9%), and acetic acid (15.7%). Isopropyl alcohol was undetected in all sorbent tubes.

Dimethyl disulfide, the predominant compound identified at site CA1B, has been reported as a
main constituent of broiler emissions detected in previous field studies with canisters (Summers
2005), under laboratory conditions with sorbent tubes (Chang and Chen 2003), and in analysis of
headspace above broiler litter in closed chambers (Hobbs et al 1995). Several of the predominant
compounds in the CA1B samples were also among the most prevalent in sorbent tube samples
collected at several locations in a commercial broiler facility (Trabue et al 2008); these authors
generally found acetic acid, butanoic acid and propanoic acid to be the dominant species. Their
list of target compounds did not include isopropyl alcohol (which, based on our results, may not
have been successfully trapped by tubes anyway) or dimethyl sulfide.

Table 1. VOC emission rates calculated for broiler site CA1B from characterization study.

# samples with detects Tube/canister	Percent of Total Mass

Compounds	Tubes Canisters Emitted Mass Ratio Analyte Cumulative Sum

Dimethyl disulfide

3/3

4/4

0.219

21.9%

21.9%

Isopropyl alcohol

0/3

4/4

0.000

17.9%

39.8%

Acetic acid

2/3

4/4

1.083

15.7%

55.5%

Butanoic acid

0/3

1/4

0.000

5.5%

61.0%

Propanoic acid

0/3

1/4

0.000

5.4%

66.4%

Methanol

0/3

2/4

0.000

4.8%

71.2%

Hexane

2/3

4/4

0.215

3.0%

74.3%

Nonanal

3/3

4/4

0.984

3.0%

77.2%

Hexanal

1/3

4/4

0.449

2.6%

79.8%

Phenol

2/3

4/4

1.523

2.4%

82.2%

n-Propanol

1/3

3/4

0.514

2.2%

84.4%

Heptanal

0/3

4/4

0.000

2.1%

86.5%

Octanal

0/3

3/4

0.000

1.9%

88.4%

4-Methyl phenol

1/3

4/4

0.603

1.7%

90.1%

Benzaldehyde

3/3

3/4

1.771

1.60%

91.7%

Pentanal

0/3

3/4

0.000

1.5%

93.2%

Dimethyl sulfone

2/3

0/4

-

1.5%

94.6%

Ethanol

0/3

4/4

0.000

1.0%

95.7%

Tridecane

2/3

2/4

4.323

0.94%

96.6%

Undecane

2/3

4/4

2.739

0.92%

97.5%

Toluene

3/3

4/4

0.428

0.88%

98.4%

Benzene

2/3

4/4

0.201

0.61%

99.0%

Acetone

0/3

1/4

0.000

0.49%

99.5%

Dodecane

0/3

2/4

0.000

0.20%

99.7%

Indole

2/3

0/4

-

0.16%

99.9%

Pentadecane

0/3

1/4

0.000

0.14%

100.0%

3


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Layers (IN2H)

Valid results were obtained from a total of five sorbent tubes taken from exhaust air. Three of
these samples (two from Barn 6 and one from Barn 7) were collected on 11/5, while the
remaining two (both from Barn 7) were collected on 11/13. Valid data were obtained from all
four canisters sampled on 11/5. Table 2 below summarizes annual emission rates calculated from
these nine samples.

Although a total of 27 compounds were detected in at least one tube or canister, isopropyl
alcohol alone was responsible for over 85% of the total emitted mass from the IN2H barns.
Isopropyl alcohol was successfully trapped by canisters only, and was undetected in any of the
sorbent tubes. The combination of isopropyl alcohol, acetic acid and butanoic acid was sufficient
to reach 90% of the cumulative mass. In contrast to CA1B, acetic acid, butanoic acid and several
minor compounds were trapped better with sorbent tubes than with canisters. These included
eight minor compounds that were present in at least one tube sample, but none of the canister
samples. However, the failure of tubes to trap isopropyl alcohol clearly rules out their use for this
site.

An earlier study of organic acids in egg layer houses (Martensson et al 1999) observed that acetic
acid was the dominant species, followed by butanoic (butyric) and propanoic (propionic) acids.
The relative ratios of these three compounds in IN2H samples (acetic acid was approximately 4
times as abundant as each of the other two compounds) were very similar to those reported by
these authors in one of the two houses they studied.

Swine (IN3B)

All four sorbent tubes and all four canisters from the 10/23 sampling event provided valid
emission data (Table 3).

Each of 36 individual VOCs were identified in at least one IN3B sample and nine compounds
contributed to 90% of the mass. Except for 4-methyl phenol, all nine compounds were organic
acids, led by acetic, butanoic and propanoic acids. Unlike any of the other sites, several of the
highest-concentration analytes appear to show better trapping by sorbent tubes than by canisters.
However, this is mainly due to the presence of one very high-concentration tube sample, which
contained approximately eight times more of most analytes than the other three tubes. Had this
sample contained analyte levels more commensurate with the others, the tube/canister ratio for
most compounds would have been similar to those seen at other sites.

An SPME study of indoor air at two Czech swine farms (Ciganek and Neca 2008) reported acetic
acid, butanoic acid, />cresol, propanoic acid, pentanoic acid, phenol and hexanal as the primary
compounds. Thus, four of the top five compounds from the Czech study match exactly with the
top five VOCs identified from IN3B, although />cresol was not detected in the IN3B samples.
Phenol and hexanal were also detected from IN3B, albeit not in the list of compounds
contributing to the 90% total mass.

4


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Table 2. VOC emission rates calculated for layer site IN2H from characterization study.



# samples with detects

Tube/canister

Percent of Total Mass

Compounds

Tubes

Canisters

Emitted Mass Ratio

Analyte

Cumulative Sum

Isopropyl alcohol

0/5

4/4

0.000

85.3%

85.3%

Acetic acid

4/5

4/4

3.245

4.5%

89.8%

Butanoic acid

4/5

3/4

1.938

1.7%

91.5%

Acetone

0/5

3/4

0.000

1.6%

93.2%

Propanoic acid

3/5

3/4

1.465

1.3%

94.5%

Hexanal

5/5

4/4

0.851

0.9%

95.5%

Hexane

5/5

4/4

2.466

0.86%

96.3%

Nonanal

5/5

3/4

1.380

0.70%

97.0%

Heptanal

3/5

4/4

0.321

0.36%

97.4%

Benzaldehyde

4/5

4/4

1.653

0.33%

97.7%

Dimethyl disulfide

5/5

4/4

1.526

0.28%

98.0%

3-Methyl butanoic acid

2/5

0/4

-

0.27%

98.3%

n-Propanol

2/5

4/4

0.854

0.25%

98.5%

Octanal

0/5

3/4

0.000

0.23%

98.8%

Pentanal

1/5

4/4

0.046

0.17%

98.9%

Phenol

1/5

4/4

0.500

0.15%

99.1%

4-Methyl phenol

2/5

4/4

0.483

0.15%

99.2%

2-Methyl propanoic acid

1/5

0/4

-

0.14%

99.4%

2-Methyl butanoic acid

1/5

0/4

-

0.14%

99.5%

Dimethyl sulfone

2/5

0/4

-

0.11%

99.6%

Ethanol

4/5

4/4

0.289

0.11%

99.7%

Undecane

2/5

0/4

-

0.08%

99.8%

Toluene

5/5

3/4

2.274

0.06%

99.9%

Benzene

4/5

3/4

2.545

0.06%

99.9%

Tridecane

1/5

0/4

-

0.03%

100.0%

4-Ethyl phenol

1/5

0/4

-

0.02%

100.0%

Propyl butyrate

1/5

0/4

-

0.01%

100.0%

As with IN2H, the IN3B organic acid results agreed quite well with a finishing house study by
Martensson et al. (1999), who observed that acetic acid was about twice as abundant as either
butanoic or propanoic acids, with other acids (valeric, isovaleric, lactic), none of which was
detected at IN3B, present at much lower concentrations. Essentially the same results were
reported in a study of in vitro incubation of swine manure (Miller and Varel 2003). Our results
also closely parallel those of a recent sorbent tube study in a finisher house (Trabue et al 2008),
which observed acetic acid, butanoic acid, propanoic acid, 4-methyl phenol and 2-methyl
propanoic acid, in that order, to be the most abundant VOCs.

Dairy (IN5B)

All sorbent tube data from the 10/15 sampling event were invalid. Upon reducing the sampling
period from 60 to 30 minutes, all four tubes on 10/29 provided good data. All four of the canister
samples from 10/15 were usable.

Emissions from site IN5B contained a total of 34 identifiable compounds. Of these, 14
contributed to the 90% mass total. Canisters performed better than tubes for 31 of the 34

5


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Table 3. VOC emission rates calculated for swine site IN3B from characterization study.



# samples with detects

Tube/canister

Percent of Total Mass

Compounds

Tubes

Canisters

Emitted Mass Ratio

Analyte

Cumulative Sum

Acetic acid

3/4

4/4

4.618

35.9%

35.9%

Butanoic acid

4/4

4/4

4.579

18.1%

54.0%

Propanoic acid

4/4

4/4

3.631

16.4%

70.4%

Pentanoic acid

4/4

4/4

3.117

5.5%

75.8%

3-Methyl butanoic acid

4/4

2/4

4.680

4.0%

79.9%

2-Methyl butanoic acid

4/4

3/4

3.199

3.8%

83.7%

2-Methyl propanoic acid

3/4

4/4

1.350

2.7%

86.4%

Hexanoic acid

2/4

0/4

-

2.1%

88.5%

4-Methyl phenol

3/4

4/4

1.022

2.0%

90.5%

n-Propanol

3/4

4/4

0.589

1.1%

91.7%

1-Butanol

1/4

3/4

0.245

1.1%

92.8%

Phenol

3/4

4/4

0.589

1.0%

93.8%

2-Methyl hexanoic acid

1/4

0/4

-

1.0%

94.8%

Ethanol

0/4

3/4

0.000

1.0%

95.7%

Methanol

0/4

2/4

0.000

0.79%

96.5%

Hexanal

1/4

4/4

0.229

0.35%

96.8%

Ethanol

4/4

0/4

-

0.34%

97.2%

2-Butanol

0/4

4/4

0.000

0.30%

97.5%

Nonanal

2/4

4/4

0.755

0.29%

97.8%

4-Ethyl phenol

2/4

4/4

1.000

0.27%

98.0%

Dimethyl disulfide

1/4

4/4

0.337

0.27%

98.3%

Benzaldehyde

3/4

4/4

1.187

0.26%

98.6%

Heptanal

0/4

4/4

0.000

0.22%

98.8%

Dimethyl sulfone

1/4

4/4

0.515

0.20%

99.0%

Isopropyl alcohol

0/4

1/4

0.000

0.13%

99.1%

Hexane

1/4

3/4

1.023

0.13%

99.2%

n-Propyl acetate

0/4

2/4

0.000

0.12%

99.4%

Dodecane

0/4

3/4

0.000

0.11%

99.5%

Toluene

4/4

4/4

2.000

0.12%

99.6%

Undecane

0/4

4/4

0.000

0.09%

99.7%

Tridecane

0/4

4/4

0.000

0.09%

99.8%

Benzene

4/4

3/4

0.556

0.08%

99.9%

Hexadecane

0/4

2/4

0.000

0.05%

99.9%

Indole

2/4

3/4

1.600

0.05%

100.0%

Pentadecane

0/4

1/4

0.000

0.03%

100.0%

Hexane

0/4

1/4

0.000

0.02%

100.0%

compounds, including 23 compounds that were undetected in any of the tubes. The remaining
three analytes (ethyl acetate, ethanol and propyl propanoate), each of which was included in the
90% mass cutoff, were trapped equally well by canisters and tubes. Two alcohols (n-propanol
and isopropyl alcohol) were the dominant VOCs; ethyl acetate was the only other compound that
accounted for >10% of the total emitted mass.

Analyses of indoor air from Czech dairies (Ciganek and Neca 2008) showed acetic acid,
butanoic acid, propanoic acid, p-cresol and phenol as the predominant compounds. All three of
these acids were present in the 90% mass group for the IN5B samples, although they were
surpassed by n-propanol, isopropyl alcohol and ethyl acetate. These three compounds either were
undetected or were not analyzed for in the Czech study. Martensson et al (1999) identified acetic

6


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acid as the primary acid in indoor dairy air samples, although, in their study, it was followed
closely by lactic acid, which was undetected in the IN5B samples. Filipy et al (2006) reported
ethanol to be the only VOC emitted in significant levels from a WA experimental dairy. Of the
five compounds present at higher levels at IN5B, these authors did not detect n-propanol, and do
not appear to have targeted isopropyl alcohol, acetic acid, or ethyl acetate. Lastly, several of the
most prevalent compounds in the IN5B samples (e.g. acetic acid, propanol, ethanol) were among
those measured at the highest levels at a California dairy (Rabaud et al 2003), although several
other compounds found at medium-to-high levels (e.g. methyl isobutyrate, butylamine, pyridine,
dimethyl sulfoxide, ethyl ether) were not observed at IN5B.

Table 4. VOC emission rates calculated for dairy site IN5B from characterization study.

# samples with detects Tube/canister	Percent of Total Mass

Compounds	Tubes Canisters Emitted Mass Ratio Analyte Cumulative Sum

n-Propanol

4/4

4/4

0.63

31.8%

31.8%

Isopropyl alcohol

2/4

4/4

0.09

12.6%

44.4%

Ethyl acetate

4/4

4/4

1.13

10.7%

55.1%

Acetic acid

2/4

4/4

0.67

8.2%

63.3%

Ethanol

4/4

4/4

1.07

6.6%

69.9%

n-Propyl acetate

4/4

4/4

0.84

5.8%

75.6%

2-Methyl propanoic acid

0/4

3/4

0.00

4.6%

80.3%

Butanoic acid

0/4

2/4

0.00

2.7%

83.0%

2-Methyl hexanoic acid

0/4

1/4

0.00

1.5%

84.5%

Propanoic acid

0/4

1/4

0.00

1.5%

85.9%

2-Butanol

2/4

4/4

0.37

1.5%

87.4%

Propyl propanonate

4/4

3/4

1.06

1.1%

88.5%

4-Methyl phenol

0/4

4/4

0.00

1.0%

89.5%

Pentanal

0/4

4/4

0.00

1.0%

90.5%

Hexanal

1/4

4/4

0.08

0.99%

91.5%

Heptanal

0/4

4/4

0.00

0.96%

92.4%

Octanal

0/4

3/4

0.00

0.85%

93.3%

Phenol

0/4

4/4

0.00

0.85%

94.1%

4-Ethyl phenol

0/4

4/4

0.00

0.80%

94.9%

Nonanal

0/4

3/4

0.00

0.79%

95.7%

Hexane

0/4

4/4

0.00

0.71%

96.4%

Benzyl alcohol

0/4

3/4

0.00

0.60%

97.0%

Dimethyl disulfide

0/4

4/4

0.00

0.57%

97.6%

Benzaldehyde

0/4

4/4

0.00

0.52%

98.1%

Propyl butyrate

0/4

2/4

0.00

0.35%

98.5%

Toluene

4/4

4/4

0.89

0.27%

98.8%

Dodecane

0/4

3/4

0.00

0.22%

99.0%

Undecane

0/4

4/4

0.00

0.21%

99.2%

Dimethyl sulfone

0/4

1/4

0.00

0.18%

99.4%

Propyl hexanoate

0/4

1/4

0.00

0.17%

99.5%

1-Butanol

0/4

1/4

0.00

0.15%

99.7%

Propyl pentanoate

0/4

1/4

0.00

0.13%

99.8%

n-Butanol

0/4

1/4

0.00

0.11%

99.9%

Benzene

4/4

2/4

0.98

0.08%

100.0%

7


-------
Overview of Results

Identifications of predominant VOCs, in general, agreed well with existing literature for all four
species. Based on the 90% mass cutoffs for each species, the target analyte list for the sampling
phase of the NAEMS will consist of 26 compounds (Table 5).

Table 5. Target analytes for VOC sampling as determined by the initial characterization study.

Compound

Present in 90% mass cutoff for:

Broilers

Layers

Swine

Dairy

Acetic acid

+

+

+

+

Butanoic acid

+

+

+

+

2-Butanol







+

Dimethyl disulfide

+







Ethanol







+

Ethyl acetate







+

Heptanal

+







Hexanal

+







Hexane

+







Hexanoic acid





+



Isopropyl alcohol

+

+



+

Methanol

+







2-Methyl butanoic acid





+



3-Methyl butanoic acid





+



2-Methyl hexanoic acid







+

4-Methyl phenol

+



+

+

2-Methyl propanoic acid





+

+

Nonanal

+







Octanal

+







Pentanal







+

Pentanoic acid





+



Phenol

+







Propanoic acid

+



+

+

n-Propanol

+





+

n-Propyl acetate







+

Propyl propanoate







+

Analyte trapping was usually better with canisters than sorbent tubes, especially for the
compounds in the 90% mass groups for CA1B and IN5B, and for the single most-dominant
compound (isopropyl alcohol) at IN2H. The apparent better performance of tubes relative to
canisters at IN3B was apparently due to one tube sample containing significantly elevated levels
of most analytes relative to the others, thus inflating the average tube-sample yield.

Several problems were also encountered with tube sampling. Despite the precautions detailed
above, a high percentage of the tube samples collected from the CA1B (5/8) and IN2H (3/8) sites
contained sufficient moisture that they either could not be analyzed (due to freezing of the GC
inlet), or gave extremely distorted chromatograms. The latter is an expected consequence of

8


-------
tubes trapping too much moisture (Trabue et al 2008). Furthermore, breakthrough tubes collected
at some sites (e.g. CA1B) did show non-negligible levels of some analytes (data not shown),
indicating that trapping by the primary tube was incomplete. Finally, the 30-min tube sampling
period introduces considerably more opportunity for sampling bias, as compared with the 24-
hour canister sampling, which will represent a full day of site operations, along with all the
diurnal variations that might be missed by employing a shorter sampling period.

Based on these results, canister sampling will be used exclusively for the ongoing VOC sampling
effort. No significant peaks (apart from NH4+) were observed in any of the impinger samples;
thus, amine sampling via this method will not be conducted for the remainder of the NAEMS.

References

Chang, M.H. and T.C. Chen. 2003. Reduction of broiler house malodor by direct feeding of a

lactobacilli containing probiotic. International Journal of Poultry Science 2: 313-317.
Ciganek, M. and J. Neca. 2008. Chemical characterization of volatile organic compounds on

animal farms. VeterinarniMedicina 53:641-651.

Filipy, J., B. Rumburg, G. Mount, H. Westberg and B. Lamb. 2006. Identification and

quantification of volatile organic compounds from a dairy. Atmospheric Environment
40:1480-1494.

Hobbs, P. J., B.F. Pain, T.H. Misselbrook. 1995. Odorous compounds and their emission rates

from livestock waste. Proc. Intl. Livestock Odor Conf., ISU, Ames, IA, pp. 11-15.
Martensson, L, M. Magnusson, Y. Shen, J.A. Jonsson. 1999. Air concentrations of volatile
organic acids in confined animal buildings - determination with ion chromatography.
Agriculture, Ecosystems and Environment 75:101-108.

Miller, D.N. and V.H. Varel. 2003. Swine manure composition affects the biochemical origins,
composition, and accumulation of odorous compounds. J. Animal Science 81:2131-2138.
Rabaud, N.E., S.E. Ebeler, L.L. Ashbaugh, R.G. Flocchini. 2003. Characterization and
quantification of odorous and non-odorous volatile organic compounds near a
commercial dairy in California. Atmospheric Environment 37:933-940.

SOP VI. 2009. Sampling of Volatile Organic Compounds (VOCs) in Air Samples through Use

of Sorbent Tubes. Standard Operating Procedure, v. 2.0. Purdue Ag Air Quality Lab.
SOP V2. 2008. VOC Sampling Using Canisters. Standard Operating Procedure v. 2.0. Purdue
Ag Air Quality Lab.

SOP V3. 2008. Collection of Amines in Air Samples through Use of Sulfuric Acid-Containing

Impingers. Standard Operating Procedure, v. 2.0. Purdue Ag Air Quality Lab.

SOP V4. 2008. Thermodesorption and GC/MS Analysis of VOCs Collected on Sorbent Tubes.

Standard Operating Procedure, v. 2.0. Purdue Ag Air Quality Lab.

SOP V5. 2007. Analysis and Quantitation of Amines by Ion Chromatography. Standard

Operating Procedure, v. 1.0. Purdue Ag Air Quality Lab.

SOP V6. 2006. Standard Operating Procedure For GC/MS Analysis of VOCs Collected in

Sampling Canisters. Standard Operating Procedure, v. 0.0. Purdue Ag Air Quality Lab.
Summers, M.D. 2005. Final Report: Quantification of Gaseous Emissions from California

Broiler Production Houses, rwww.arb.ca.gov/ag/caf/poulemisrpt.pdfl. Accessed 4/8/09.
Trabue, S.L., K.D. Scoggin, H. Li, R. Burns and H. Xin. 2008. Field sampling method for
quantifying odorants in humid environments. Env. Sci. and Technology 42:3745-3750.

9


-------
Deliberative, draft document - Do not cite, quote, or distribute

A-2


-------
Deliberative, draft document - Do not cite, quote, or distribute

Appendix B: VOC Data Summary

B-l


-------
Deliberative, draft document - Do not cite, quote, or distribute

Table B-1. Dairy VOC sample data





Animal -







Concentration,

Airflow,

Emission,

Site

House

Process

Structure type

Date

# canisters

mg m-3

m3 s"1

kg d"1

IN5B

B1

Da

ry

Mechanically ventilated barn

6/1/2009

l

6.92

259

155

IN5B

B1

Da

ry

Mechanically ventilated barn

6/15/2009

2

2.53

269

58.8

IN5B

B1

Da

ry

Mechanically ventilated barn

8/17/2009

2

3.5

260

78

IN5B

B1

Da

ry

Mechanically ventilated barn

1/19/2010

2

2.95

121

31

IN5B

B1

Da

ry

Mechanically ventilated barn

2/3/2010

2

3.53

121

37

IN5B

B1

Da

ry

Mechanically ventilated barn

2/17/2010

2

2.72

113

26.6

IN5B

B1

Da

ry

Mechanically ventilated barn

3/10/2010

2

1.45

273

34.2

IN5B

B2

Da

ry

Mechanically ventilated barn

6/1/2009

1

5.71

258

127

IN5B

B2

Da

ry

Mechanically ventilated barn

6/15/2009

2

3.89

262

88.1

IN5B

B2

Da

ry

Mechanically ventilated barn

8/17/2009

2

3.76

260

84.2

IN5B

B2

Da

ry

Mechanically ventilated barn

1/19/2010

2

2.35

95.9

19.5

IN5B

B2

Da

ry

Mechanically ventilated barn

2/3/2010

2

3.22

98.3

27.3

IN5B

B2

Da

ry

Mechanically ventilated barn

2/17/2010

2

2.61

99.5

22.4

IN5B

B2

Da

ry

Mechanically ventilated barn

3/10/2010

2

1.03

245

21.8

NY5B

B1

Da

ry

Mechanically ventilated barn

4/24/2009

1

1.87

240

38.7

NY5B

B1

Da

ry

Mechanically ventilated barn

4/27/2009

1

4.44

207

79.5

NY5B

B1

Da

ry

Mechanically ventilated barn

5/27/2009

1

6.24

288

155

NY5B

B1

Da

ry

Mechanically ventilated barn

7/15/2009

2

6.99

305

184

NY5B

B1

Da

ry

Mechanically ventilated barn

9/14/2009

2

5.07

307

134

NY5B

B1

Da

ry

Mechanically ventilated barn

10/26/2009

2

7.68

118

78

NY5B

B1

Da

ry

Mechanically ventilated barn

11/10/2009

2

3.77

113

36.7

NY5B

B1

Da

ry

Mechanically ventilated barn

12/2/2009

1

16.8

22.3

32.2

WI5B

B1

Da

ry

Mechanically ventilated barn

4/6/2009

2

2.39

75.3

15.5

WI5B

B1

Da

ry

Mechanically ventilated barn

6/15/2009

2

1.18

158

16.1

WI5B

B1

Da

ry

Mechanically ventilated barn

7/20/2009

2

0.85

279

20.4

WI5B

B1

Da

ry

Mechanically ventilated barn

8/24/2009

2

0.49

291

12.2

WI5B

B1

Da

ry

Mechanically ventilated barn

9/7/2009

2

0.73

229

14.4

WI5B

B2

Da

ry

Mechanically ventilated barn

4/6/2009

2

2.41

68.8

14.3

WI5B

B2

Da

ry

Mechanically ventilated barn

6/15/2009

2

1.1

210

20.1

WI5B

B2

Da

ry

Mechanically ventilated barn

7/20/2009

2

2.27

329

64.4

WI5B

B2

Da

ry

Mechanically ventilated barn

8/24/2009

2

1.05

343

31.1

WI5B

B2

Da

ry

Mechanically ventilated barn

9/7/2009

2

0.71

288

17.6

WI5B

B2

Da

ry

Mechanically ventilated barn

11/9/2009

2

1.98

N/A

N/A

B-l


-------
Deliberative, draft document - Do not cite, quote, or distribute





Animal -







Concentration,

Airflow,

Emission,

Site

House

Process

Structure type

Date

# canisters

mg m-3

m3 s"1

kg d"1

WI5B

B2

Da

ry

Mechanically ventilated barn

12/7/2009

2

5.97

N/A

N/A

NY5B

MC

Da

ry

Milking center

4/24/2009

1

1.69

43.5

6.37

NY5B

MC

Da

ry

Milking center

4/27/2009

1

0.13

63.2

0.74

NY5B

MC

Da

ry

Milking center

5/27/2009

2

2.7

72.2

16.8

NY5B

MC

Da

ry

Milking center

7/15/2009

2

2.43

75.1

15.8

NY5B

MC

Da

ry

Milking center

9/14/2009

2

1.3

82.7

9.26

NY5B

MC

Da

ry

Milking center

10/26/2009

2

1.19

68.3

7.04

NY5B

MC

Da

ry

Milking center

11/10/2009

1

0.9

40.8

3.17

NY5B

MC

Da

ry

Milking center

12/2/2009

2

5.89

21.8

11.1

CA5B

B2

Da

ry

Naturally ventilated barn

12/18/2009

4

0.292

768

-7.1

CA5B

B2

Da

ry

Naturally ventilated barn

1/8/2010

4

0.924

628

32.3

CA5B

B2

Da

ry

Naturally ventilated barn

1/23/2010

4

1.115

135

9.8

CA5B

B2

Da

ry

Naturally ventilated barn

1/29/2010

4

0.234

1483

5.4

CA5B

B2

Da

ry

Naturally ventilated barn

2/11/2010

4

0.4

2571

10.6

CA5B

B2

Da

ry

Naturally ventilated barn

2/18/2010

4

0.826

1138

-33.4

CA5B

B2

Da

ry

Naturally ventilated barn

2/22/2010

4

0.37

1605

32.2

WA5B

B2

Da

ry

Naturally ventilated barn

5/6/2009

2

0.17

2125

30.9

WA5B

B2

Da

ry

Naturally ventilated barn

6/24/2009

2

0.4

1577

54.1

WA5B

B2

Da

ry

Naturally ventilated barn

9/23/2009

2

0.51

473

20.8

WA5B

B2

Da

ry

Naturally ventilated barn

9/29/2009

2

1.03

1151

102.4

WA5B

B4

Da

ry

Naturally ventilated barn

5/6/2009

1

0.6

1241

64.6

WA5B

B4

Da

ry

Naturally ventilated barn

6/24/2009

2

0.63

1661

89.8

WA5B

B4

Da

ry

Naturally ventilated barn

9/23/2009

2

1.82

359

56.5

WA5B

B4

Da

ry

Naturally ventilated barn

9/29/2009

2

1.83

1256

198.1

B-2


-------
Deliberative, draft document - Do not cite, quote, or distribute

Table B-2. Poultry VOC sample data

Site

House

Animal -
Process

Structure
type

Date

# canisters

Concentration,
mg m-3

Airflow,
m3 s"1

Emission,
kg d"1

CA1B

H10

Poultry - Broiler

House

7/14/2010

2

0.78

58.8

3.94

CA1B

H10

Poultry - Broiler

House

8/3/2010

2

0.91

4.5

0.35

CA1B

H10

Poultry - Broiler

House

8/16/2010

2

0.74

18.9

1.21

CA1B

H10

Poultry - Broiler

House

8/26/2010

2

0.96

30.4

2.53

CA1B

H10

Poultry - Broiler

House

9/3/2010

2

0.39

56.3

1.89

CA1B

H10

Poultry - Broiler

House

9/12/2010

2

0.39

51.2

1.72

CA1B

H10

Poultry - Broiler

House

10/7/2010

2

1.42

5.12

0.63

CA1B

H12

Poultry - Broiler

House

7/14/2010

2

1.1

59.7

5.7

CA1B

H12

Poultry - Broiler

House

8/3/2010

2

0.75

4.41

0.29

CA1B

H12

Poultry - Broiler

House

8/16/2010

2

0.76

18.8

1.24

CA1B

H12

Poultry - Broiler

House

8/26/2010

2

1.36

29.4

3.45

CA1B

H12

Poultry - Broiler

House

9/3/2010

2

0.43

55.4

2.06

CA1B

H12

Poultry - Broiler

House

10/7/2010

2

1.8

4.73

0.73

CA2B

H5

Poultry - Egg Layer

High rise house

6/9/2009

2

0.55

56.5

2.7

CA2B

H5

Poultry - Egg Layer

High rise house

6/18/2009

2

1.13

86.2

8.4

CA2B

H5

Poultry - Egg Layer

High rise house

7/29/2009

2

0.64

78.5

4.34

CA2B

H5

Poultry - Egg Layer

High rise house

10/2/2009

2

9.58

60

49.7

CA2B

H5

Poultry - Egg Layer

High rise house

10/12/2009

2

0.38

38.7

1.26

CA2B

H5

Poultry - Egg Layer

High rise house

10/15/2009

2

0.28

64.4

1.55

CA2B

H5

Poultry - Egg Layer

High rise house

11/18/2009

2

1

19

1.64

CA2B

H6

Poultry - Egg Layer

High rise house

6/9/2009

2

0.56

54.5

2.66

CA2B

H6

Poultry - Egg Layer

High rise house

7/29/2009

2

0.45

72

2.78

CA2B

H6

Poultry - Egg Layer

High rise house

10/2/2009

2

11.4

55.8

54.9

CA2B

H6

Poultry - Egg Layer

High rise house

10/12/2009

2

0.41

34.6

1.24

CA2B

H6

Poultry - Egg Layer

High rise house

10/15/2009

2

0.35

53.9

1.62

CA2B

H6

Poultry - Egg Layer

High rise house

11/18/2009

2

0.81

33.7

2.35

IN2H

H6

Poultry - Egg Layer

High rise house

1/9/2009

2

23.5

38.9

78.9

IN2H

H6

Poultry - Egg Layer

High rise house

3/12/2009

2

1.18

37.3

3.8

IN2H

H6

Poultry - Egg Layer

High rise house

4/30/2009

2

0.63

55.9

3.05

IN2H

H6

Poultry - Egg Layer

High rise house

5/9/2009

2

0.6

59.4

3.07

IN2H

H6

Poultry - Egg Layer

High rise house

5/13/2009

2

1.09

57.3

5.39

IN2H

H6

Poultry - Egg Layer

High rise house

5/27/2009

2

2.68

58.1

13.5

IN2H

H6

Poultry - Egg Layer

High rise house

6/23/2009

2

0.52

49.7

2.25

B-3


-------
Deliberative, draft document - Do not cite, quote, or distribute

Site

House

Animal -
Process

Structure
type

Date

# canisters

Concentration,
mg m-3

Airflow,
m3 s"1

Emission,
kg d"1

IN2H

H7

Poultry - Egg Layer

High rise house

1/9/2009

2

4.67

37.7

15.2

IN2H

H7

Poultry - Egg Layer

High rise house

3/12/2009

1

1.18

38

3.86

IN2H

H7

Poultry - Egg Layer

High rise house

4/30/2009

2

0.72

46.2

2.88

IN2H

H7

Poultry - Egg Layer

High rise house

5/9/2009

2

0.73

46.6

2.96

IN2H

H7

Poultry - Egg Layer

High rise house

5/13/2009

2

4.91

35.2

14.9

IN2H

H7

Poultry - Egg Layer

High rise house

5/27/2009

2

0.81

36.7

2.56

IN2H

H7

Poultry - Egg Layer

High rise house

6/23/2009

2

1.26

19.4

2.11

NC2B

H4

Poultry - Egg Layer

High rise house

4/12/2009

2

0.45

17.7

0.69

NC2B

H4

Poultry - Egg Layer

High rise house

4/27/2009

2

0.42

127

4.65

NC2B

H4

Poultry - Egg Layer

High rise house

5/20/2009

2

0.54

43.4

2.03

NC2B

H4

Poultry - Egg Layer

High rise house

7/2/2009

2

0.44

178

6.81

NC2B

H4

Poultry - Egg Layer

High rise house

8/26/2009

2

0.46

220

8.7

NC2B

H4

Poultry - Egg Layer

High rise house

9/9/2009

2

0.24

130

2.66

NC2B

H4

Poultry - Egg Layer

High rise house

9/18/2009

2

0.29

80

2.03

NC2B

H4 pit

Poultry - Egg Layer

High rise house

4/12/2009

2

0.54

17.7

0.83

NC2B

H4 pit

Poultry - Egg Layer

High rise house

4/27/2009

2

0.41

128

4.52

NC2B

H4 pit

Poultry - Egg Layer

High rise house

5/20/2009

2

0.62

43.4

2.31

NC2B

H4 pit

Poultry - Egg Layer

High rise house

7/2/2009

2

0.51

178

7.9

NC2B

H4 pit

Poultry - Egg Layer

High rise house

8/26/2009

2

0.29

220

5.51

NC2B

H4 pit

Poultry - Egg Layer

High rise house

9/9/2009

2

0.26

130

2.94

NC2B

H4 pit

Poultry - Egg Layer

High rise house

9/18/2009

2

0.41

80.4

2.83

IN2B

B8

Poultry - Egg layer

Manure belt house

9/24/2009

2

0.62

90.6

4.88

IN2B

B8

Poultry - Egg layer

Manure belt house

10/1/2009

2

0.88

74.6

5.7

IN2B

B8

Poultry - Egg layer

Manure belt house

10/7/2009

2

4.37

73.5

27.7

IN2B

B8

Poultry - Egg layer

Manure belt house

10/19/2009

2

1.66

67.5

9.7

IN2B

B8

Poultry - Egg layer

Manure belt house

11/4/2009

2

1.4

67.1

8.1

IN2B

B8

Poultry - Egg layer

Manure belt house

11/18/2009

2

1.35

66.9

7.8

IN2B

B8

Poultry - Egg layer

Manure belt house

12/9/2009

2

2.42

57.3

12

IN2B

B9

Poultry - Egg layer

Manure belt house

9/24/2009

2

0.67

88.1

5.12

IN2B

B9

Poultry - Egg layer

Manure belt house

10/1/2009

2

0.78

30.5

2.06

IN2B

B9

Poultry - Egg layer

Manure belt house

10/7/2009

2

6.92

34

20.3

IN2B

B9

Poultry - Egg layer

Manure belt house

10/19/2009

2

3.14

73.8

20

IN2B

B9

Poultry - Egg layer

Manure belt house

11/4/2009

2

1.3

14.4

1.62

IN2B

B9

Poultry - Egg layer

Manure belt house

11/18/2009

2

1.39

29.4

3.53

B-4


-------
Deliberative, draft document - Do not cite, quote, or distribute





Animal -

Structure





Concentration,

Airflow,

Emission,

Site

House

Process

type

Date

# canisters

mg m-3

m3 s"1

kg d"1

IN2B

B9

Poultry - Egg layer

Manure belt house

12/9/2009

2

0.96

10.5

0.87

Table B-3. Swine VOC sample data

Site

House

Animal -
Process

Structure
type

Date

# canisters

Concentration,
mg m-3

Airflow,
m3 s"1

Emission,
kg d"1

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

2/19/2009

l

5.67

0.36

0.18

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

3/5/2009

l

23.6

0.47

0.96

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

5/27/2010

2

1.89

0.59

0.1

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

7/1/2010

2

1.16

1.8

0.18

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

7/29/2010

2

0.52

1.47

0.07

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

8/6/2010

2

0.67

2.45

0.14

IA4B

Far9

Swine - Breeding Gestation

Farrowing room

8/12/2009

2

0.43

3.41

0.13

NC4B

Far

Swine - Breeding Gestation

Farrowing room

4/21/2009

1

1.12

2.14

0.21

NC4B

Far

Swine - Breeding Gestation

Farrowing room

5/12/2009

2

0.78

1.86

0.12

NC4B

Far

Swine - Breeding Gestation

Farrowing room

7/4/2009

2

0.23

3.96

0.08

NC4B

Far

Swine - Breeding Gestation

Farrowing room

7/11/2009

2

0.27

4.32

0.1

NC4B

Far

Swine - Breeding Gestation

Farrowing room

8/4/2009

2

1.3

4.89

0.55

IA4B

B1

Swine - Breeding Gestation

Gestation barn

2/19/2009

1

3.72

10

3.22

IA4B

B1

Swine - Breeding Gestation

Gestation barn

3/5/2009

1

15

21.3

27.6

IA4B

B1

Swine - Breeding Gestation

Gestation barn

5/27/2010

2

0.69

27.4

1.64

IA4B

B1

Swine - Breeding Gestation

Gestation barn

7/1/2010

2

0.29

51.9

1.29

IA4B

B1

Swine - Breeding Gestation

Gestation barn

8/6/2010

2

0.45

60.1

2.31

IA4B

B2

Swine - Breeding Gestation

Gestation barn

2/19/2009

1

1.31

9.53

1.08

IA4B

B2

Swine - Breeding Gestation

Gestation barn

5/27/2010

2

1.46

36

4.56

NC4B

B1

Swine - Breeding Gestation

Gestation barn

4/21/2009

1

1.19

32.1

3.31

NC4B

B1

Swine - Breeding Gestation

Gestation barn

5/12/2009

2

0.81

26.5

1.85

NC4B

B1

Swine - Breeding Gestation

Gestation barn

6/25/2009

2

0.54

84.1

3.9

NC4B

B1

Swine - Breeding Gestation

Gestation barn

7/4/2009

2

0.19

70.9

1.14

NC4B

B1

Swine - Breeding Gestation

Gestation barn

8/4/2009

2

1.91

78.4

12.9

NC4B

B1

Swine - Breeding Gestation

Gestation barn

12/7/2009

2

0.62

7.9

0.42

NC4B

B2

Swine - Breeding Gestation

Gestation barn

4/21/2009

1

0.68

23.7

1.4

NC4B

B2

Swine - Breeding Gestation

Gestation barn

5/12/2009

2

1.67

18.8

2.71

B-5


-------
Deliberative, draft document - Do not cite, quote, or distribute

Site

House

Animal -
Process

Structure
type

Date

# canisters

Concentration,
mg m-3

Airflow,
m3 s"1

Emission,
kg d"1

NC4B

B2

Swine - Breeding Gestation

Gestation barn

6/25/2009

2

0.43

54.3

2.02

NC4B

B2

Swine - Breeding Gestation

Gestation barn

7/11/2009

2

0.45

46.6

1.83

NC4B

B2

Swine - Breeding Gestation

Gestation barn

12/7/2009

2

0.62

7.26

0.39

0K4B

B1

Swine - Breeding Gestation

Gestation barn

4/8/2009

2

0.48

39.2

1.63

0K4B

B1

Swine - Breeding Gestation

Gestation barn

5/18/2009

2

0.16

44.6

0.62

0K4B

B1

Swine - Breeding Gestation

Gestation barn

6/9/2009

2

0.45

55.2

2.15

0K4B

B1

Swine - Breeding Gestation

Gestation barn

7/16/2009

2

0.32

58.5

1.6

0K4B

B2

Swine - Breeding Gestation

Gestation barn

4/8/2009

2

1.03

35.4

3.14

0K4B

B2

Swine - Breeding Gestation

Gestation barn

5/18/2009

2

0.77

44.6

2.98

0K4B

B2

Swine - Breeding Gestation

Gestation barn

6/9/2009

2

0.37

52.9

1.71

0K4B

B2

Swine - Breeding Gestation

Gestation barn

6/25/2009

2

0.53

69.6

3.17

0K4B

B3

Swine - Breeding Gestation

Gestation barn

5/18/2009

2

0.3

3.35

0.09

0K4B

B3

Swine - Breeding Gestation

Gestation barn

6/9/2009

2

0.45

5.14

0.2

0K4B

B3

Swine - Breeding Gestation

Gestation barn

6/25/2009

2

0.59

6.61

0.34

0K4B

B3

Swine - Breeding Gestation

Gestation barn

7/16/2009

1

0.42

6.74

0.25

IN3B

R5

Swine - Grow-Finish

Finishing barn

6/1/2009

1

1

0.66

34.5

IN3B

R5

Swine - Grow-Finish

Finishing barn

6/8/2009

1

1

0.81

41.7

IN3B

R5

Swine - Grow-Finish

Finishing barn

6/24/2009

1

1

0.81

48.8

IN3B

R5

Swine - Grow-Finish

Finishing barn

7/13/2009

1

1

0.29

26.6

IN3B

R5

Swine - Grow-Finish

Finishing barn

7/22/2009

1

1

1.23

20.9

IN3B

R5

Swine - Grow-Finish

Finishing barn

7/23/2009

1

1

0.8

26.3

IN3B

R6

Swine - Grow-Finish

Finishing barn

6/1/2009

1

1

0.95

32.4

IN3B

R6

Swine - Grow-Finish

Finishing barn

6/8/2009

1

1

4.06

47.7

IN3B

R6

Swine - Grow-Finish

Finishing barn

6/24/2009

1

1

0.88

48.4

IN3B

R6

Swine - Grow-Finish

Finishing barn

7/13/2009

1

1

0.79

35.8

IN3B

R6

Swine - Grow-Finish

Finishing barn

7/22/2009

1

1

1.49

26

IN3B

R6

Swine - Grow-Finish

Finishing barn

7/23/2009

1

1

0.83

36.2

IN3B

R7

Swine - Grow-Finish

Finishing barn

6/1/2009

1

1

0.95

32.2

IN3B

R7

Swine - Grow-Finish

Finishing barn

6/8/2009

1

1

1.03

42.2

IN3B

R7

Swine - Grow-Finish

Finishing barn

6/24/2009

1

1

0.44

50.5

IN3B

R7

Swine - Grow-Finish

Finishing barn

7/13/2009

1

1

1.12

42.6

IN3B

R7

Swine - Grow-Finish

Finishing barn

7/22/2009

1

1

0.62

26.8

IN3B

R7

Swine - Grow-Finish

Finishing barn

7/23/2009

1

1

0.46

33.8

IN3B

R8

Swine - Grow-Finish

Finishing barn

6/1/2009

1

1

1.01

32.8

B-6


-------
Deliberative, draft document - Do not cite, quote, or distribute





Animal -

Structure





Concentration,

Airflow,

Emission,

Site

House

Process

type

Date

# canisters

mg m-3

m3 s"1

kg d"1

IN3B

R8

Swine - Grow-Finish

Finishing barn

6/8/2009

l

1

0.58

41.2

IN3B

R8

Swine - Grow-Finish

Finishing barn

6/24/2009

l

1

0.52

46.7

IN3B

R8

Swine - Grow-Finish

Finishing barn

7/13/2009

l

1

1.48

33.6

IN3B

R8

Swine - Grow-Finish

Finishing barn

7/22/2009

l

1

0.46

32.9

IN3B

R8

Swine - Grow-Finish

Finishing barn

7/23/2009

l

1

0.81

30.9

NC3B

B1

Swine - Grow-Finish

Finishing barn

4/24/2009

l

0.37

23.4

0.74

NC3B

B1

Swine - Grow-Finish

Finishing barn

7/11/2009

2

0.21

22

0.39

NC3B

B1

Swine - Grow-Finish

Finishing barn

8/3/2009

2

0.49

21.2

0.89

NC3B

B1

Swine - Grow-Finish

Finishing barn

12/2/2009

2

1.01

7.36

0.64

NC3B

B1

Swine - Grow-Finish

Finishing barn

12/18/2009

2

0.91

1.43

0.11

NC3B

B1

Swine - Grow-Finish

Finishing barn

12/26/2009

2

0.78

3.31

0.22

NC3B

B2

Swine - Grow-Finish

Finishing barn

4/24/2009

1

0.72

29.3

1.81

NC3B

B2

Swine - Grow-Finish

Finishing barn

7/11/2009

2

0.38

21.9

0.72

NC3B

B2

Swine - Grow-Finish

Finishing barn

12/11/2009

2

1.06

1.93

0.18

NC3B

B2

Swine - Grow-Finish

Finishing barn

12/18/2009

2

0.85

2.52

0.19

NC3B

B3

Swine - Grow-Finish

Finishing barn

4/24/2009

1

0.67

23

1.33

NC3B

B3

Swine - Grow-Finish

Finishing barn

8/3/2009

2

0.42

21.3

0.78

NC3B

B3

Swine - Grow-Finish

Finishing barn

12/2/2009

2

1.07

6.81

0.63

NC3B

B3

Swine - Grow-Finish

Finishing barn

12/11/2009

2

0.7

1.53

0.09

NC3B

B3

Swine - Grow-Finish

Finishing barn

12/26/2009

2

0.97

3.74

0.31

B-7


-------
Deliberative, draft document - Do not cite, quote, or distribute

Appendix C: Tyson NMHC data

c-i


-------
Deliberative, draft document - Do not cite, quote, or distribute

Table C-4. Kentucky NMHC sample data





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

14-Feb-06

25,830











15-Feb-06

25,711

0.80

0.00003







16-Feb-06

25,667











17-Feb-06

25,641











18-Feb-06

25,621











19-Feb-06

25,605











20-Feb-06

25,585





25,515

0.67

0.00003

21-Feb-06

25,572





25,486

1.36

0.00005

22-Feb-06

25,551





25,460

1.39

0.00005

23-Feb-06

25,536





25,424





24-Feb-06

25,525

1.30

0.00005

25,342





25-Feb-06

25,510

1.49

0.00006

25,286





26-Feb-06

25,493

1.77

0.00007

25,265





27-Feb-06

25,475

1.97

0.00008

25,264





28-Feb-06

25,460

1.47

0.00006

25,239





l-Mar-06

25,449

1.23

0.00005

25,222





2-Mar-06

25,440

1.35

0.00005

25,202





3-Mar-06

25,430

1.89

0.00007

25,180

2.30

0.00009

4-Mar-06

25,419

1.74

0.00007

25,157

1.47

0.00006

5-Mar-06

25,400

1.43

0.00006

25,141





6-Mar-06

25,397

1.11

0.00004

25,120





7-Mar-06

25,389

1.62

0.00006

25,100

1.72

0.00007

8-Mar-06

25,382

1.73

0.00007

25,072

1.09

0.00004

9-Mar-06

25,376

1.21

0.00005

25,058





10-Mar-06

25,371

1.24

0.00005

25,044





ll-Mar-06

25,365





25,037





12-Mar-06

25,358





25,029





13-Mar-06

25,350





25,023





14-Mar-06

25,346





25,012





15-Mar-06

25,338

1.62

0.00006

25,008

1.17

0.00005

16-Mar-06

25,332

2.46

0.00010

24,991

1.11

0.00004

17-Mar-06

25,322

1.84

0.00007

24,980

1.53

0.00006

18-Mar-06

25,315

1.77

0.00007

24,963

2.11

0.00008

19-Mar-06

25,307

1.36

0.00005

24,953

1.49

0.00006

20-Mar-06

25,302

1.89

0.00007

24,941





21-Mar-06

25,288

1.68

0.00007

24,928





22-Mar-06

25,282

2.07

0.00008

24,907

1.26

0.00005

23-Mar-06

25,275

2.56

0.00010

24,891

1.75

0.00007

24-Mar-06

25,267

2.27

0.00009

24,880

1.68

0.00007

25-Mar-06

25,257

2.40

0.00010

24,872

1.52

0.00006

26-Mar-06

25,246

1.80

0.00007

24,856

1.66

0.00007

27-Mar-06

25,237

1.94

0.00008

24,825

1.06

0.00004

28-Mar-06

25,222





24,780

1.17

0.00005

29-Mar-06

25,212





24,759

2.45

0.00010

30-Mar-06

25,177





24,728

1.85

0.00008

31-Mar-06

25,158





24,709

1.73

0.00007

C-2


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

l-Apr-06

25,158





24,698

1.42

0.00006

2-Apr-06

25,158





24,677





3-Apr-06

25,158





24,643





4-Apr-06

25,158





24,619

3.14

0.00013

5-Apr-06







24,598





6-Apr-06







24,579





7-Apr-06







24,486





8-Apr-06







24,284





9-Apr-06







24,167

0.74

0.00003

10-Apr-06







24,167

0.77

0.00003

ll-Apr-06









0.78



12-Apr-06









1.08



13-Apr-06









0.83



14-Apr-06



0.13





0.64



15-Apr-06



0.00





0.43



16-Apr-06



0.30





0.03



17-Apr-06



0.18





0.05



18-Apr-06













19-Apr-06













20-Apr-06



0.88









21-Apr-06

22995

0.29

0.00001







22-Apr-06

22840

0.31

0.00001







23-Apr-06

22748

0.37

0.00002







24-Apr-06

22690

0.41

0.00002







25-Apr-06

22625

0.46

0.00002







26-Apr-06

22578











27-Apr-06

22517







0.03



28-Apr-06

22462

1.01

0.00004



0.06



29-Apr-06

22437

0.93

0.00004



0.01



30-Apr-06

22418

1.07

0.00005



0.00



l-May-06

22408

1.19

0.00005



0.00



2-May-06

22394

1.25

0.00006



0.00



3-May-06

22382

2.56

0.00011



0.00



4-May-06

22365

2.55

0.00011



0.00



5-May-06

22347

1.89

0.00008



0.00



6-May-06

22333

2.10

0.00009



0.00



7-May-06

22321

2.10

0.00009



0.00



8-May-06

22312

1.93

0.00009



0.03



9-May-06

22290

1.46

0.00007



0.00



10-May-06

22278

0.78

0.00004



0.00



ll-May-06

22256

0.79

0.00004



0.00



12-May-06

22245

0.92

0.00004



0.00



13-May-06

22235

0.94

0.00004



0.00



14-May-06

22227

0.88

0.00004



0.00



15-May-06

22220

0.72

0.00003



0.11



16-May-06

22214

0.60

0.00003



0.04



17-May-06

22210

0.82

0.00004



0.06



C-3


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

18-May-06

22203







0.00



19-May-06

22193

0.80

0.00004



0.00



20-May-06

22178

0.84

0.00004



0.00



21-May-06

22168

0.75

0.00003



0.11



22-May-06

22160

0.88

0.00004

24,450

0.50

0.00002

23-May-06

22147





24,439

0.45

0.00002

24-May-06

22136

0.88

0.00004

24,421

0.46

0.00002

25-May-06

22126

1.62

0.00007

24,394

0.90

0.00004

26-May-06

22086

1.31

0.00006

24,377

0.73

0.00003

27-May-06

22074

2.83

0.00013

24,356

0.78

0.00003

28-May-06

22064

2.74

0.00012

24,338

1.08

0.00004

29-May-06

22051

2.87

0.00013

24,311

0.76

0.00003

30-May-06

22021

1.95

0.00009

24,292

0.92

0.00004

31-May-06

22001





24,274

1.04

0.00004

l-Jun-06

21983





24,246

1.10

0.00005

2-Jun-06

21964





24,229

0.64

0.00003

3-Jun-06

21889

1.89

0.00009

24,214

0.75

0.00003

4-Jun-06

21854





24,199

0.65

0.00003

5-Jun-06

21788





24,179

0.79

0.00003

6-Jun-06

21762

2.82

0.00013

24,168

0.79

0.00003

7-Jun-06

21708

4.05

0.00019

24,153

0.81

0.00003

8-Jun-06

21634

3.86

0.00018

24,142

0.98

0.00004

9-Jun-06

21634

3.00

0.00014

24,133

0.71

0.00003

10-Jun-06



3.60



24,123

0.88

0.00004

ll-Jun-06



2.18



24,115

0.64

0.00003

12-Jun-06



1.30



24,108





13-Jun-06



1.43



24,102

1.01

0.00004

14-Jun-06







24,092

1.45

0.00006

15-Jun-06



0.84



24,083

1.33

0.00006

16-Jun-06



1.81



24,075

1.12

0.00005

17-Jun-06



0.85



24,067

1.40

0.00006

18-Jun-06



0.14



24,061

1.07

0.00004

19-Jun-06



0.38



24,059





20-Jun-06



0.63



24,056





21-Jun-06



1.04



24,052

2.20

0.00009

22-Jun-06

24465

0.75

0.00003

24,049

0.72

0.00003

23-Jun-06

24396

0.41

0.00002

24,041

0.83

0.00003

24-Jun-06

24355

0.68

0.00003

24,031





25-Jun-06

24324

0.45

0.00002

24,024





26-Jun-06

24291





24,012





27-Jun-06

24262





24,004





28-Jun-06

24240





23,991





29-Jun-06

24211





23,981





30-Jun-06

24199





23,968

1.12

0.00005

l-Jul-06

24189





23,948

1.96

0.00008

2-Jul-06

24182





23,940

2.99

0.00013

3-Jul-06

24168





23,919





C-4


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

4-Jul-06

24156





23,902





5-Jul-06

24151





23,873





6-Jul-06

24147





23,848





7-Jul-06

24142





23,818





8-Jul-06

24135





23,768





9-Jul-06

24129





23,718





10-Jul-06

24123





23,718





ll-Jul-06

24108





23,718





12-Jul-06

24100











13-Jul-06

24086











14-Jul-06

24066











15-Jul-06

24060











16-Jul-06

24053











17-Jul-06

24034











18-Jul-06

24025











19-Jul-06

24019











20-Jul-06

24014











21-Jul-06

24006











22-Jul-06

24000

0.83

0.00003







23-Jul-06

23993

1.22

0.00005



0.00



24-Jul-06

23982

1.07

0.00004







25-Jul-06

23972

1.29

0.00005







26-Jul-06

23965

1.72

0.00007







27-Jul-06

23941

1.74

0.00007







28-Jul-06

23933





24,380





29-Jul-06

23924





24,341





30-Jul-06

23918





24,309





31-Jul-06

23896





24,281

0.55

0.00002

l-Aug-06

23885





24,264





2-Aug-06

23870





24,231





3-Aug-06

23861





24,209





4-Aug-06

23843

4.28

0.00018

24,198

0.41

0.00002

5-Aug-06

23808

3.28

0.00014

24,188

0.63

0.00003

6-Aug-06

23795

3.99

0.00017

24,174

0.40

0.00002

7-Aug-06

23752

4.82

0.00020

24,163

0.63

0.00003

8-Aug-06

23752

4.78

0.00020

24,150

0.68

0.00003

9-Aug-06

23752

4.09

0.00017

24,139

0.62

0.00003

10-Aug-06

23752

4.35

0.00018

24,130





ll-Aug-06



2.72



24,123





12-Aug-06







24,111





13-Aug-06







24,103





14-Aug-06







24,098





15-Aug-06



0.77



24,090

0.79

0.00003

16-Aug-06



0.00



24,085

0.84

0.00003

17-Aug-06



0.26



24,078





18-Aug-06



1.26



24,072





19-Aug-06



2.31



24,067





C-5


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

20-Aug-06



1.74



24,064





21-Aug-06



1.75



24,062





22-Aug-06







24,058





23-Aug-06







24,052

1.16

0.00005

24-Aug-06



1.04



24,047

0.65

0.00003

25-Aug-06



0.23



24,044

0.97

0.00004

26-Aug-06



0.03



24,040

0.99

0.00004

27-Aug-06



0.01



24,038

0.56

0.00002

28-Aug-06



0.03



24,037

0.68

0.00003

29-Aug-06



0.31



24,034

1.13

0.00005

30-Aug-06



0.12



24,029

1.16

0.00005

31-Aug-06



0.15



24,021

1.23

0.00005

l-Sep-06







24,018

1.74

0.00007

2-Sep-06







24,011

1.35

0.00006

3-Sep-06







23,996

1.38

0.00006

4-Sep-06



0.06



23,980

1.73

0.00007

5-Sep-06

25695

0.19

0.00001

23,976

2.05

0.00009

6-Sep-06

25680

0.24

0.00001

23,968

2.15

0.00009

7-Sep-06

25665

0.35

0.00001

23,948

2.03

0.00008

8-Sep-06

25646

0.24

0.00001

23,937





9-Sep-06

25635

0.59

0.00002

23,927





10-Sep-06

25622

0.58

0.00002

23,914





ll-Sep-06

25610

0.52

0.00002

23,892





12-Sep-06

25596

0.67

0.00003

23,875





13-Sep-06

25587

0.70

0.00003

23,863





14-Sep-06

25578

1.23

0.00005

23,848

2.76

0.00012

15-Sep-06

25561

1.63

0.00006

23,833

3.24

0.00014

16-Sep-06

25550

1.13

0.00004

23,809

3.13

0.00013

17-Sep-06

25540

0.98

0.00004

23,809

2.63

0.00011

18-Sep-06

25523

0.76

0.00003

23,809

0.00

0.00000

19-Sep-06

25509

0.84

0.00003

23,809

2.30

0.00010

20-Sep-06

25499

0.82

0.00003



0.38



21-Sep-06

25486

0.97

0.00004







22-Sep-06

25472

0.76

0.00003







23-Sep-06

25449

0.99

0.00004







24-Sep-06

25433

1.05

0.00004



1.37



25-Sep-06

25417

1.02

0.00004



0.64



26-Sep-06

25389

1.10

0.00004



1.03



27-Sep-06

25374

1.56

0.00006



0.78



28-Sep-06

25356

1.12

0.00004



0.02



29-Sep-06

25347

1.15

0.00005



0.12



30-Sep-06

25335

1.16

0.00005



0.21



l-Oct-06

25325

1.73

0.00007



0.00



2-Oct-06

25312

1.18

0.00005



0.00



3-Oct-06

25300

0.95

0.00004



0.06



4-Oct-06

25286

1.24

0.00005



0.22



5-Oct-06

25267

0.86

0.00003

25,778





C-6


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

6-Oct-06

25257

1.07

0.00004

25,734

0.65

0.00003

7-Oct-06

25243

1.14

0.00005

25,704

0.63

0.00002

8-Oct-06

25173

1.06

0.00004

25,659

0.67

0.00003

9-Oct-06

25121

1.10

0.00004

25,631

0.47

0.00002

10-0ct-06

25100

1.08

0.00004

25,601

0.50

0.00002

ll-Oct-06

25027





25,576





12-Oct-06

24994





25,552

1.18

0.00005

13-Oct-06

24824

1.79

0.00007

25,538

1.24

0.00005

14-Oct-06

24782

1.47

0.00006

25,528

1.04

0.00004

15-Oct-06

24485

1.35

0.00006

25,522

1.32

0.00005

16-Oct-06

24402

1.95

0.00008

25,487

0.80

0.00003

17-Oct-06

24340

2.54

0.00010

25,410

0.98

0.00004

18-Oct-06

24296

2.34

0.00010

25,405

1.17

0.00005

19-Oct-06

24278

2.11

0.00009

25,398

1.40

0.00006

20-0ct-06

24231

3.05

0.00013

25,393

1.73

0.00007

21-Oct-06

24183

3.27

0.00014

25,386

0.93

0.00004

22-Oct-06

24165

3.21

0.00013

25,381

1.43

0.00006

23-Oct-06

24046

2.95

0.00012

25,376

0.95

0.00004

24-Oct-06

24046

3.22

0.00013

25,367

1.92

0.00008

25-Oct-06

24046

4.14

0.00017

25,364

1.41

0.00006

26-Oct-06



1.97



25,360

1.02

0.00004

27-Oct-06



0.78



25,357

1.00

0.00004

28-Oct-06



0.85



25,353

0.99

0.00004

29-Oct-06



0.40



25,347

1.03

0.00004

30-0ct-06



0.00



25,334

0.94

0.00004

31-Oct-06



0.00



25,328

1.30

0.00005

l-Nov-06



0.04



25,326

1.49

0.00006

2-Nov-06







25,323

1.57

0.00006

3-Nov-06



0.59



25,319

1.76

0.00007

4-Nov-06



0.08



25,316

1.96

0.00008

5-Nov-06



0.00



25,314

1.86

0.00007

6-Nov-06



0.62



25,311

1.58

0.00006

7-Nov-06







25,307

1.90

0.00008

8-Nov-06



0.28



25,300

2.08

0.00008

9-Nov-06



0.44



25,294

2.29

0.00009

10-Nov-06



1.04



25,289





ll-Nov-06



0.30



25,286





12-Nov-06



0.22



25,279





13-Nov-06



0.01



25,262





14-Nov-06



0.05



25,256





15-Nov-06



0.02



25,246





16-Nov-06



0.55



25,229





17-Nov-06

25080

0.46

0.00002

25,213





18-Nov-06

25000





25,199





19-Nov-06

24396





25,176





20-Nov-06

23358

0.94

0.00004

25,148





21-Nov-06

22248

1.35

0.00006

25,113





C-7


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

22-Nov-06

21048

1.19

0.00006

25,113





23-Nov-06

20276

1.13

0.00006

25,113





24-Nov-06

19626

0.98

0.00005

25,113





25-Nov-06

19201

0.89

0.00005

25,113





26-Nov-06

19051

0.89

0.00005

25,113





27-Nov-06

18328

0.64

0.00003

25,113





28-Nov-06

18039

0.68

0.00004







29-Nov-06

17790

0.67

0.00004







30-Nov-06

17305

0.38

0.00002







l-Dec-06

17191







0.00



2-Dec-06

17003











3-Dec-06

16913







0.00



4-Dec-06

16528







0.96



5-Dec-06

16420

0.85

0.00005



0.74



6-Dec-06

16301

1.29

0.00008



0.29



7-Dec-06

16231

2.08

0.00013



0.09



8-Dec-06

16171

2.50

0.00015



0.07



9-Dec-06

16127

2.20

0.00014



0.00



10-Dec-06

16102

2.10

0.00013



0.07



ll-Dec-06

16064

2.12

0.00013



0.27



12-Dec-06

16022











13-Dec-06

15966











14-Dec-06

15932

2.37

0.00015

24,970





15-Dec-06

15862

2.63

0.00017

24,917





16-Dec-06

15820

2.52

0.00016

24,872

0.79

0.00003

17-Dec-06

15800

1.96

0.00012

24,806





18-Dec-06

15774

2.50

0.00016

24,762





19-Dec-06

15718

3.19

0.00020

24,730





20-Dec-06

15690

4.17

0.00027

24,706





21-Dec-06

15649

1.34

0.00009

24,690





22-Dec-06

15624

1.70

0.00011

24,676





23-Dec-06

15556

2.67

0.00017

24,664

0.51

0.00002

24-Dec-06

15466

3.12

0.00020

24,652

0.46

0.00002

25-Dec-06

15379

2.75

0.00018

24,634

0.42

0.00002

26-Dec-06

15149

3.41

0.00022

24,623

0.40

0.00002

27-Dec-06

14919

2.13

0.00014

24,612





28-Dec-06

14675

1.87

0.00013

24,603





29-Dec-06

14571

2.14

0.00015

24,594





30-Dec-06

14316

1.39

0.00010

24,591





31-Dec-06

14248

1.48

0.00010

24,586





l-Jan-07

14061

2.52

0.00018

24,583





2-Jan-07

13946

2.19

0.00016

24,577





3-Jan-07

13876

2.12

0.00015

24,570

0.80

0.00003

4-Jan-07

13876

1.69

0.00012

24,562

0.68

0.00003

5-Jan-07

13876

1.65

0.00012

24,559





6-Jan-07

13876

1.45

0.00010

24,551

0.90

0.00004

7-Jan-07

13876

1.48

0.00011

24,541

0.98

0.00004

C-8


-------
Deliberative, draft document - Do not cite, quote, or distribute





KY1B-1



KY1B-2

Date

Bird#

NMHC,lbs

NMHC, Ibs/hd

Bird#

NMHC, lbs

NMHC, Ibs/hd

8-Jan-07

13876

1.73

0.00012

24,538

1.14

0.00005

9-Jan-07

13876

1.52

0.00011

24,532

1.18

0.00005

10-Jan-07



0.23



24,519

1.26

0.00005

ll-Jan-07



0.04



24,506

1.30

0.00005

12-Jan-07



1.68



24,499

1.47

0.00006

13-Jan-07



0.42



24,490

1.19

0.00005

14-Jan-07



0.20



24,482

1.25

0.00005

15-Jan-07



0.55



24,464

1.23

0.00005

16-Jan-07



1.36



24,452

1.44

0.00006

17-Jan-07



1.00



24,430

1.33

0.00005

18-Jan-07



0.19



24,401

1.46

0.00006

19-Jan-07



0.26



24,381

1.49

0.00006

20-Jan-07



0.00



24,362

1.88

0.00008

21-Jan-07







24,344

2.27

0.00009

22-Jan-07

26600





24,320

1.96

0.00008

23-Jan-07

26500





24,299

2.19

0.00009

24-Jan-07

26465





24,275

2.92

0.00012

25-Jan-07

26427





24,241

2.68

0.00011

26-Jan-07

26404





24,206

2.90

0.00012

27-Jan-07

26374





24,171

2.79

0.00012

28-Jan-07

26323





24,133

3.10

0.00013

29-Jan-07

26307





24,103





30-Jan-07

26290





24,050





31-Jan-07

26272





24,050





l-Feb-07

26260





24,050

3.84

0.00016

2-Feb-07

26244





24,050

1.73

0.00007

3-Feb-07

26234







0.26



4-Feb-07

26228







0.73



5-Feb-07

26220







0.49



6-Feb-07

26199











7-Feb-07

26167







0.06



8-Feb-07

26142







0.05



9-Feb-07

26055

2.72

0.00010







10-Feb-07

26030

1.81

0.00007







ll-Feb-07

25981

1.12

0.00004







12-Feb-07

25884

0.87

0.00003

26,013

0.22

0.00001

13-Feb-07

25861

1.23

0.00005

25,992

0.24

0.00001

14-Feb-07

25846

1.72

0.00007

25,958

0.23

0.00001

15-Feb-07

25808

2.64

0.00010

25,926

0.32

0.00001

16-Feb-07

25790

2.75

0.00011

25,887

0.35

0.00001

17-Feb-07

25784

1.85

0.00007

25,852

0.41

0.00002

18-Feb-07

25764

2.37

0.00009

25,821

0.46

0.00002

19-Feb-07

25751

1.80

0.00007

25,802

0.47

0.00002

20-Feb-07

25720

2.12

0.00008

25,772

0.53

0.00002

21-Feb-07

25701

1.75

0.00007

25,748

0.83

0.00003

22-Feb-07

25690

2.05

0.00008

25,730





23-Feb-07

25677

2.11

0.00008

25,714





C-9


-------
Deliberative, draft document - Do not cite, quote, or distribute

Date

Bird#

KY1B-
NMHC,lbs

1

NMHC, Ibs/hd

Bird#

kyib-;

NMHC, lbs

NMHC, Ibs/hd

24-Feb-07

25660

1.64

0.00006

25,697





25-Feb-07

25634

0.96

0.00004

25,681





26-Feb-07

25609

1.92

0.00008

25,672





27-Feb-07

25580

4.47

0.00017

25,664





28-Feb-07

25497

4.62

0.00018

25,656





l-Mar-07

25345

4.02

0.00016

25,648





2-Mar-07

25269

3.86

0.00015

25,648





3-Mar-07

25159

4.04

0.00016

25,648





4-Mar-07

25052

3.97

0.00016

25,648





5-Mar-07

24948

3.36

0.00013

25,648





6-Mar-07

24670

4.76

0.00019







7-Mar-07

24655

4.44

0.00018







8-Mar-07

24633

4.65

0.00019







9-Mar-07

24604











10-Mar-07

24575

5.24

0.00021







ll-Mar-07

24546

4.49

0.00018







12-Mar-07

24546

4.96

0.00020







13-Mar-07

24546

4.84

0.00020







14-Mar-07

24546

2.68

0.00011







C-10


-------
Deliberative, draft document - Do not cite, quote, or distribute

Appendix D: Emission Factors from Literature

D-l


-------
Deliberative, draft document - Do not cite, quote, or distribute

Table C-51. Total VOC Emissions Factors from literature

Farm Type

Structure Type

Emission
Factor

Unit of

Emission Factor

Reference

Dairy, (> 1,000 milk cows)

Enteric Emissions from Cows

4.10

Ib/hd-yr

Sheraz and Norman, 2012

Dairy, (> 1,000 milk cows)

Milking Parlor(s)

0.03

Ib/hd-yr

Sheraz and Norman, 2012

Dairy, (> 1,000 milk cows)

Freestall Barns

1.80

Ib/hd-yr

Sheraz and Norman, 2012

Dairy, (> 1,000 milk cows)

Corrals/Pens

6.60

Ib/hd-yr

Sheraz and Norman, 2012

Dairy, (> 1,000 milk cows)

Liquid Manure Handling (lagoons, storage
ponds, basins)

1.30

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (> 1,000 milk cows)

Liquid manure land application

1.40

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (> 1,000 milk cows)

Solid manure land application

0.33

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (> 1,000 milk cows)

Separated solids piles

0.06

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (> 1,000 milk cows)

Solid manure storage

0.15

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Enteric Emissions from Cows

4.30

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Milking Parlor(s)

0.04

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Freestall Barns

1.90

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Corrals/Pens

10.00

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Liquid Manure Handling (lagoons, storage
ponds, basins)

1.50

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Liquid manure land application

1.60

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Solid manure land application

0.39

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Separated solids piles

0.06

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry, (< 1,000 milk cows)

Solid manure storage

0.16

Ib/hd-yr

Sheraz and Norman, 2012

Da

ry

Milking cows

12.800

Ib/hd-yr

AQMD, 2016

Da

ry

Dry Cows

8.700

Ib/hd-yr

AQMD, 2016

Da

ry

Heifer (4-24 months)

6.100

Ib/hd-yr

AQMD, 2016

Da

ry

Heifer (4-24 months), with flush lanes that are
flushed with water to a holding pond

4.700

Ib/hd-yr

AQMD, 2016

Dairy

Calf (under 3 months)

4.500

Ib/hd-yr

AQMD, 2016

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Deliberative, draft document - Do not cite, quote, or distribute





Emission

Unit of



Farm Type

Structure Type

Factor

Emission Factor

Reference

Layers

Manure from Laying hens and associated birds

0.026

Ib/hd-yr

AQMD, 2016

Broilers

Manure from Broiler chickens and associated
birds

0.026

Ib/hd-yr

AQMD, 2016

Dairy

Lagoon

4.500

Ib/yr-AU

EPA, 2001

Swine

Lagoon

2.400

Ib/yr-AU

EPA, 2001

Layer

Lagoon

4.000

Ib/yr-AU

EPA, 2001

Swine

Finishing pig

30.300

mg d-1 kg hd

Feilberg, et al., 2010

Swine

Finishing pig, shallow pit

4.99

mg d-1 kg hd

Heber et al, 2004

Dairy

Stable

11.10

kg/yr/hd

Kammer et al. 2020

Table C-2. VOC Emissions Factors from literature

Farm
Type

Structure Type

VOC

Emission
Factor

Unit of

Emission Factor

Reference

Da

ry

Freestall Barns (cows and feed)

Methanol

1.780

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Ethanol

2.010

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Propionic Acid

0.080

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Isobutyric Acid

0.080

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Butyric Acid

0.010

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Isovaleric acid

0.010

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Valeric Acid

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Hexanoic Acid

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Phenol

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

P-Cresol

0.020

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

4-Ethylphenol

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

2-Amino-actophenone

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Undole

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

Freestall Barns (cows and feed)

Skatole

0.000

Ib/TAU/yr

Parker, 2008

D-2


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Deliberative, draft document - Do not cite, quote, or distribute

Farm





Emission

Unit of





Type

Structure Type

voc

Factor

Emission Factor

Reference

Da

ry

Openlot (manure and feed)

Methanol

4.900

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Ethanol

11.650

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Propionic Acid

3.630

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Isobutyric Acid

0.750

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Butyric Acid

0.090

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Isovaleric acid

0.090

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Valeric Acid

0.110

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Hexanoic Acid

0.340

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Phenol

0.010

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

P-Cresol

0.020

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

4-Ethylphenol

0.000

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

2-Amino-actophenone

0.000

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Undole

0.000

Ib/TAU/yr

Parker,

2008

Da

ry

Openlot (manure and feed)

Skatole

0.000

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Methanol

0.010

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Ethanol

0.040

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Propionic Acid

0.140

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Isobutyric Acid

0.020

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Butyric Acid

0.000

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Isovaleric acid

0.000

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Valeric Acid

0.000

Ib/TAU/yr

Parker,

2008





Liquid Manure Handling











Dairy

(lagoons, storage ponds, basins)

Hexanoic Acid

0.000

Ib/TAU/yr

Parker,

2008

D-3


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Deliberative, draft document - Do not cite, quote, or distribute

Farm







Emission

Unit of



Type

Structure Type



voc

Factor

Emission Factor

Reference





Liquid Manure Handling









Dairy

(lagoons, storage ponds, basins)

Phenol

0.000

Ib/TAU/yr

Parker, 2008





Liquid Manure Handling









Dairy

(lagoons, storage ponds, basins)

P-Cresol

0.000

Ib/TAU/yr

Parker, 2008





Liquid Manure Handling









Dairy

(lagoons, storage ponds, basins)

4-Ethylphenol

0.000

Ib/TAU/yr

Parker, 2008





Liquid Manure Handling









Dairy

(lagoons, storage ponds, basins)

2-Amino-actophenone

0.000

Ib/TAU/yr

Parker, 2008





Liquid Manure Handling









Dairy

(lagoons, storage ponds, basins)

Undole

0.000

Ib/TAU/yr

Parker, 2008





Liquid Manure Handling









Da

ry

(lagoons, storage ponds, basins)

Skatole

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Methanol

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Ethanol

0.070

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Propionic Acid

0.090

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Isobutyric Acid

0.070

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Butyric Acid

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Isovaleric acid

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Valeric Acid

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Hexanoic Acid

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Phenol

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

P-Cresol

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

4-Ethylphenol

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

2-Amino-actophenone

0.000

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Undole

0.010

Ib/TAU/yr

Parker, 2008

Da

ry

solid manure handl

ng

Skatole

0.000

Ib/TAU/yr

Parker, 2008

Sw

ne

Lagoon

Acetaldehyde

0.660

Hg m"2 min 1

Rumsey et al 2012

Sw

ne

Lagoon

Acetone

2.110

ng m"2 min 1

Rumsey et al 2012

Sw

ne

Lagoon

Ethanol

0.590

ng m"2 min 1

Rumsey et al 2012

D-4


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Deliberative, draft document - Do not cite, quote, or distribute

Farm
Type

Structure Type

voc

Emission
Factor

Unit of

Emission Factor

Reference

Swine

Lagoon

2-ethyl-l-hexanol

0.180

Hg m"2 min 1

Rumsey et al 2012

Swine

Lagoon

Methanol

1.190

Hg m"2 min 1

Rumsey et al 2012

Swine

Lagoon

MEK

0.560

Hg m"2 min 1

Rumsey et al 2012

Swine

Shallow pit Barn

Acetaldehyde

0.100

g/d

Rumsey et al 2012

Swine

Shallow pit Barn

Acetone

0.240

g/d

Rumsey et al 2012

Swine

Shallow pit Barn

2,3-butanedione

0.190

g/d

Rumsey et al 2012

Swine

Shallow pit Barn

Ethanol

0.450

g/d

Rumsey et al 2012

Swine

Shallow pit Barn

Methanol

0.270

g/d

Rumsey et al 2012

Swine

Shallow pit Barn

4-methylphenol

0.160

g/d

Rumsey et al 2012

D-5


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Deliberative, draft document - Do not cite, quote, or distribute

D.1 References

EPA (U.S. Environmental Protection Agency). 2001a. Emissions from Animal Feeding

Operations (Draft). EPA Contract No. 68-D6-0011. Washington, D.C. Available on-line
at https://www.epa.gov/sites/default/files/2020-10/documents/draftanimalfeed.pdf

Feilberg A., D.Z. Lu, A.P.S. Adamsen, M.J. Hansen, K.E.N. Jonassen Odorant emissions from
intensive pig production measured by online Proton-Transfer-Reaction Mass
Spectrometry Environ. Sci. Technol., 44 (2010), pp. 5894-5900

Heber, A. J., Ni, J.-Q., Lim, T.T., Tao, P.-C., Schmidt, A.M., 2004. Air Emissions from Swine

Production Buildings at Barns 7 and 8 - Final Report. Purdue University, West Lafayette,
Indiana, 65p (August 9).

Kammer, J., C. Decuq, D. Baisnee, R. Ciuraru, F. Lafouge, P. Buysse, S. Bsaibes, B. Henderson,
S. M. Cristescu, R. Benabdallah, V. Chandra, B. Durand, O. Fanucci, J. E. Petit, F.
Truong, N. Bonnaire, R. Sarda-Esteve, V. Gros, and B. Loubet. "Characterization of
Particulate and Gaseous Pollutants from a French Dairy and Sheep Farm." Science of the
Total Environment 712 (Apr 10 2020): 135598.
https://dx.doi.Org/10.1016/j.scitotenv.2019.135598.

Parker, David. 2008. South Lakes Dairy VOC Emission Characterization Report. Available at
https ://www.regulations. gov/comment/EP A-HO-QAR-2010-0960-0041

Rumsey, Ian C., Viney P. Aneja, and William A. Lonneman. "Characterizing Non-Methane
Volatile Organic Compounds Emissions from a Swine Concentrated Animal Feeding
Operation." Atmospheric Environment 47 (2012): 348-57.
https://dx.doi.Org/10.1016/j.atmosenv.2011.10.055.

Sheraz Gill, Ramon Norman. 2012. Air Pollution Control Officer's Revision of the Dairy VOC
Emission Factors. Available online at

https://www.vallevair.org/busind/pto/emission factors/2012-Final-Dairy-EE-
Report/FinalDairvEFReport(2-23-12).pdf

South Coast Air Quailty Management District (SCAQMD).2016. Guidelines for Calculating
Emissions from Dairy and Poultry Operations. Available online at
http://www.aqmd.gov/docs/default-source/planning/annual-emission-
reporting/guidecal cemisdairypoultryoperdecl3.pdf

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