AIR QUALITY RESEARCH AND TECHNOLOGY
TRANSFER WHITE PAPER AND RECOMMENDATIONS FOR CONCENTRATED ANIMAL FEEDING
OPERATIONS
by
Confined Livestock Air
Quality Committee of the
USDA Agricultural Air
Quality Task Force
John M. Sweeten (Chair),
Texas A&M University
Larry Erickson, Kansas State
University
Phyllis Woodford, Colorado
Department of Public Health & Environment
Calvin B. Parnell, Texas
A&M University
Kendall Thu, Northern
Illinois University
Tommy Coleman, AAMU - Plant,
Soil, and Animal Sciences
Robert Flocchini, University
of California - Davis
Clinton Reeder, Pendleton,
OR
Jerold R. Master, Arkansas
Pork Producers Association
William Hambleton, Fresno,
CA
George Bluhm, USDA-NRCS
Dennis Tristao, J. G.
Boswell Company
Adopted by
USDA Agricultural Air
Quality Task Force
Washington D.C.
July 19, 2000
Acknowledgements
The
following persons also contributed written material or valuable editorial
suggestions:
·
Dr.
Allen Sutton, Purdue University
·
Dr.
Brent W. Auvermann, Texas A&M University
·
Dr.
Lowell Ashbaugh, University of California - Davis
Table of Contents
EXECUTIVE SUMMARY
Introduction
Air
Quality Parameters and Concerns
1. Odors and Odorants
2. Major Gases of
Concern - Ammonia and Hydrogen Sulfide
3. Particulate Matter --
PM10 and PM2.5
4. Co-Product Gases – CO2,
CH4, etc
Emission
Factors: A Case for Accuracy
1. Significance of
Emission Factors
2. Emission Factors for
Cattle Feedyards and Dairies
3. Errors in the AP-42
Cattle Feedyard Emission Factor
4. Comparison of
Emission Factors Using a Line Source (TAMU Process)
and ISC Dispersion Modeling
5. PM Concentrations
6. Recommendations for
Correcting Emission Factors
Human
response and health effects
1. Confined Animals
2. Employee Concerns
3. Affected Public
Current
Policy – Characterization and Assessment
1. Overview
2. Federal Policies
3. Recent State Policy
Developments
Current
Technologies to Address Odor Problems
1. Approaches: An
Overview
2. Diet Effects on Odors
3. Manure Treatment for
Odor Control
4. Capture and Treatment
of Odorous Gases
5. Enhanced Dispersion
of Odor
6. Summary of Odor
Control Opportunities
Candidate
Dust (PM) Control Practices
Current
Research Programs to Address Problems
1. General
Characterization of Prior Research
2. Health Issues/Risks
3. Current Research
Levels
Research
Needs Assessment
1. PM Emission Factors
2. Odors and Odorants
3. Dispersion
4. Indoor Air Quality,
CAFO Buildings
5. Health Effects
Technology
Transfer Program Needs
1. Producers and Private
Industry
2. General Public and
Affected Neighbors
3. Public Programs
4. Technical/Engineering
Assistance
Discussion
of Recommended Program Needs
1. Prioritized Topics
2. Partnerships
3. Budgetary
Requirements & Recommendations
4. Implementation -
Initiatives, Agency Actions, etc
SUMMARY
REFERENCES
TABLES
APPENDICES
AIR QUALITY RESEARCH AND TECHNOLOGY TRANSFER WHITE PAPER AND RECOMMENDATIONS FOR CONCENTRATED ANIMAL FEEDING OPERATIONS
Report Prepared by:
Confined Livestock Air
Quality Subcommittee
USDA Agricultural Air
Quality Task Force (AAQTF)
EXECUTIVE SUMMARY
U.S. farmers are leaders in producing the safest and most economical food supply in the world. Each year, U.S. consumers spend less than 11% of their income on food. Concentrated animal feeding operations (CAFOs) have largely contributed to the ability of U.S. producers to meet growing demands for the production of meat, milk, poultry and eggs. To maintain a safe and economical food supply, producers must have sufficient lead-time, cost-effective technologies, and resources to adjust to changing public agendas that include air quality protection. To continue this predominance in agricultural production, the USDA Agricultural Air Quality Task Force (AAQTF) established by Congress in the 1996 Farm Bill, recommends an additional $65 million be annually appropriated for agricultural air quality issues. Of this amount, $12.8 million should be specifically targeted for CAFO research needs.
The following information summarizes the findings of the AAQTF in regard to air quality issues associated with CAFOs. A full discussion of the issues can be found in the “Air Quality Research & Technology Transfer White Paper and Recommendations for Concentrated Animal Feeding Operations”.
Emission
Factors
Current
Federal and State Policies
Integrated
Programs
Odor
Control Technologies
Research
Funding
Of the USDA-ARS FY96-99 animal waste research budget of $5.65 million per year and $6.9 million in the CSREES FY97 budget, the amounts devoted to air quality were so small as not to be separately reported.
USDA
and EPA funding levels have not been adequate to address or solve air quality
problems associated with CAFOs. The
USDA AAQTF recommends at least $12.8 million per year for coordinated,
integrated programs for animal agriculture, as part of the additional $65
million in total funding requested for agricultural air quality.
Research
and Technology Transfer Needs
Numerous
research and/or technology transfer needs and opportunities were mentioned in
the text of this report. In brief, these include:
·
Develop
accurate and broadly applicable emission rates, flux rates and emission factors
for particulate matter, odor and specific odorants applicable to CAFOs;
·
Define
emission rates as a function of diurnal, seasonal, and climatic variations, as
well as design and management practices;
·
Develop
effective, practical and economically feasible odor control technologies for
confined animals, treatment, and land application systems;
·
Determine
relationships among odor, odorants, particulates and airborne microbial
species;
·
Identify
kinetic release mechanisms for odorants and odor from principal manure sources
and target the development of control technologies accordingly;
·
Develop
practical ways, capable of widespread adoption, of reducing ammonia from CAFOs;
·
Transfer
economically viable technologies for odor control to all producers regardless if they are a CAFO or animal feeding
operation (AFO);
·
Develop
innovative air treatment processes for confinement building exhausts or covered
lagoon surfaces;
·
Develop
odor reduction treatments for use prior to land application;
·
Develop
accurate standardized measurement technologies for odor, odorants of principal
concern, and fine particulate, and ensure these systems become widely available
for research and demonstration; this should include electronic measurement
devices that are well-correlated with the human odor experience;
·
Develop
accurate dispersion models for odor, odorants, and PM appropriate to specific
types of CAFOs, addressing the inherent problems of Gaussian models;
·
Characterize
air quality as a function of distance from CAFOs;
·
Implement
cooperative industry/agency/university programs for scientific evaluation of
new products for producers’ consideration and adoption;
·
Assess
the importance of indoor air quality at CAFOs and devise ways to reduce
exposure levels;
·
Devise
suitable acceptability criteria for community-level exposure to odor and
specific associated gases;
·
Assess
potential relationships between emission constituents, concentrations, and
potential health indicators, and devise appropriate mitigation strategies
accordingly;
·
Establish
partnerships with health research organizations to identify potential health
concerns associated with CAFOs.
AIR QUALITY RESEARCH AND TECHNOLOGY TRANSFER WHITE PAPER AND RECOMMENDATIONS FOR CONCENTRATED ANIMAL FEEDING OPERATIONS
Report Prepared by:
Confined Livestock Air
Quality Subcommittee
USDA Agricultural Air
Quality Task Force (AAQTF)
Introduction
Animal agriculture in the
U.S. is important to the nation’s economic well being, producing almost $100
billion per year in farm revenue contributing to the vitality of rural
communities and insuring the sustainability of America’s food supply (GAO,
1999). The U.S. has developed a very
efficient, sophisticated system for production of meat, milk, poultry, and egg
products involving concentrated animal feeding operations (CAFOs). For instance, the United States has 99.0 ± 0.9 million cattle and calves (average ± standard deviation for 1998-2000), and in
1999, a monthly average of 10.32 ± 0.75 million head were in
beef cattle feedlots being finished for slaughter (TCFA, 2000). These finishing cattle generally range in
liveweight from 272 kg (600 lbs) to 544 kg (1,200 lbs) per head, with an
average liveweight of approximately 408 kg/hd (900 lbs/hd). During a normal 150 day finishing period,
each animal excretes about 900 kg (2,000 lbs) of collectible manure, or about
1,800 kg/hd (4,000 lbs/hd) of manure per head of feedlot capacity per
year. Cattle feedlots in the U.S.
produce an estimated 18 million metric tons/yr (20 million tons/yr) of
collectable manure containing at least 360,000 metric tons/yr (400,000 tons/yr)
of total nitrogen and 135,000 metric tons/yr (150,000 tons/yr) of total
phosphorus (P).
State and federal
regulations have directly addressed water quality protection from CAFOs since
the early 1970s. Accordingly, in the
last 30 years systems designed for manure and wastewater management have
historically been optimized for water quality protection to comply with EPA
effluent limitations guidelines (ELGs) adopted in 1974 and 1976, and currently
being updated. Most states have surpassed
USEPA in requiring groundwater protection measures, nutrient balances for land
application of manure and wastewater.
Air quality protection has received secondary consideration. Changing regulatory priorities now have
begun to include phosphorus and pathogens in water quality goals and
particulate matter, odor, and/or specific odorants in air quality as
goals. For example, ammonia
volatilization was considered a desirable means to balance N for land application,
and only recently has ammonia loss been viewed as a potential problem in terms
of air quality considerations.
Water and air quality issues
are interrelated. There has been a
major lack of adequate research to deal with both water and air quality issues
in a holistic systems approach while maintaining high standards of confined
livestock productivity, animal health, and production cost efficiency. For example, EPA’s anticipated update of
Effluent Limitation Guidelines will likely embrace phosphorus (P) limits in
land application criteria, and lead toward reduced manure and wastewater
application rates in some watersheds.
In turn, this may increase producers’ incentives to reduce N loss and
retain N to more nearly balance nitrogen application rates. Increased funding is needed for research and
development that will properly quantify particulate matter (PM) and gaseous
emission rates as a function of system design and operational parameters. Public interest in these issues will need to
be tempered by realizations of needed
lead time, resources, and
appropriate technologies for producers to meet a changing public agenda and
avoid major dislocations in animal agriculture, which is an area of very
significant U.S. leadership in the world.
AIR QUALITY PARAMETERS AND
CONCERNS
Concentrated animal feeding operations
(CAFOs), including swine and poultry operations, dairies and cattle feedlots
and the associated animal waste management systems may produce emissions of
odor, odorants, odorous gases, such as ammonia, H2S, VOCs,
“greenhouse” gases (CO2 and CH4), and PM. Regardless of type of contaminant, the
emissions load on the atmosphere in terms of mass per unit time is the product
of contaminant concentration and the air flow rate (e.g., load = concentration
x ventilation rate).
1. Odor and Odorants
Principal sources of odor
emissions may include:
- Production Facilities -- open lot and confinement buildings;
- Manure/wastewater storage and/or treatment systems-- ponds, pits, lagoons, stockpiles, composting operations;
- Land application systems for solid or liquid manure, treated
effluent, or open lot runoff; and
- Animal mortalities/carcasses.
Odor may become an annoyance
to, and affect the well being of, nearby residents. Odorous gases (odorants) arise from feed materials, fresh manure,
and stored, decomposing or treated manure, and wastewater. Eaton (1996) listed 170 different compounds
present in swine manure odor. Odorous
gases emitted from animal waste include ammonia and amines (Hutchinson et al.,
1982; Peters and Blackwood, 1977), sulfides, volatile fatty acids, alcohols,
aldehydes, mercaptans, esters, and carbonyls (National Research Council, 1979;
Miner, 1975b; Barth et al., 1984; ASAE, 1999a). Peters and Blackwood (1977) listed 31 odorants identified at
cattle feedlots, together with their threshold limit value (TLV) in ppm and
odor threshold (ppm), where known. An
olfactory threshold value detected by human panelists is the concentration
where half the panelists detect and half do not detect an odor. Consequently, the threshold value may span a
range as great as 5 or 6 orders of magnitude for a single compound and range
from as low as 7.5 x 10-8 ppm for skatole to as high as 12,000 ppm
for formaldehyde (Eaton, 1996). For
instance, ammonia has reported odor threshold values spanning three orders of
magnitudes ranging from 0.0317 ppm to 37.8 ppm (Eaton, 1996). Concentrations of odorants at downwind
locations are very low; however, some may exceed olfactory threshold values and
create nuisance conditions (Sweeten, 2000b).
Odorous compounds generally have not been considered toxic at
concentrations found downwind of livestock feeding facilities. Mackie et al. (1998) and Tamminga (1992)
cited lowest toxic values (LTV) of frequently cited odorous gases from
confinement buildings. These LTV values
were from 5 to 20,000 times higher than cited odor threshold values for these
compounds. However, recent evidence
suggests potential for adverse health effect in some instances (Wing and Wolf,
1999).
Odor characteristics that contribute to
nuisance conditions are as follows: (a)
the intensity, concentration or strength of the odor; (b) the odor frequency or
number of times detected during a time period; (c) the duration of the period
in which the odor remains detectable; (d) the perceived offensiveness and
character or quality of the odor (Jones, 1992). These factors interrelate in causing nuisance conditions. Odor frequency and duration are partly dictated
by climatic conditions, including wind-direction frequency, atmospheric stability,
and moisture conditions.
A weak link in developing
odor abatement technologies has been an inability to precisely quantify odor
strength with sufficient reproducibility and accuracy (Clanton et al.,
1999b). Odor measurement methods have
been applied to animal waste management systems (Bulley and Phillips, 1980;
Barth, et al., 1984; Watts, 1991; Sweeten, 1995; McFarland and Sweeten,
1995). General approaches to estimate
the strength or intensity of livestock manure odors include:
a. Sensory methods that
involve collecting and presenting odor samples to human panelists (diluted or
undiluted) under controlled conditions, e.g., Scentometer, dynamic
olfactometers, suprathreshold referencing methods, absorption media, etc.
b. Measurement of
concentrations of specific odorous gases (directly or indirectly).
c. Electronic “nose”
devices that register presence, concentration or activity of selected odorous
gases.
Olfactometry is the most
widely used method to evaluate odor concentration. Perhaps the simplest method of field sensory odor concentration
measurement is the Barnebey-Sutcliffe Scentometer (Barnebey-Cheney, 1987). This simple, portable field instrument
involves direct sampling of the ambient air, and it has been used as the basis
for setting property line odor concentration standards by several states (e.g.,
Colorado, Montana, North Dakota) and cities.
The Scentometer has also been used for field odor measurement at
numerous livestock and poultry operations in the U.S. (Sweeten et al., 1977; Sweeten
et al., 1983; Miner and Stroh, 1976; Sweeten et al., 1991) and in data
collection contributing to nuisance litigation (Sweeten and Miner, 1993). The use of suprathreshold referencing (ASTM,
1975) for measuring intensity of livestock waste odor was described by Sweeten
et al. (1983 and 1991). The deployment
and improvement of dynamic triangle forced-choice olfactometers (DTFCO) (ASTM
1991; Dravnieks and Prokop, 1975) for livestock odor research is occurring rapidly
(Watts, 1991; Jones, 1992; Nicolai et al., 1997; Li et al., 1997) and appears
to be the instrumentation of choice for sensory odor measurement for current
research. For instance, Lim et al.
(1999) reported odor concentrations, measured by 8 panelists with a dynamic
triangle forced-choice olfactometer, for swine nursery buildings with
underfloor liquid manure storage pits, as 190 odor units (OU)/m3 in
the exhaust air and 18 OU/m3 outside the building. The data were used to calculate an odor
emission rate per head (51 OU/hd/sec) or per unit area (2.1 OU/m2/sec)
using airflow rate data. Regression
relationships were found between odor concentration, odor intensity, and odor
offensiveness. Similar data using a
DTFCO system was reported by Heber et al. (1998) for four 1,000 head finishing
buildings, which produced an average odor concentration of 294 ± 65 OU (range of 12-1,586 OU), and an
emission rate of 96 ± 30 OU/hd/sec, or 5.0 OU/m2/sec.
Pain et al. (1988) used a
small wind tunnel (2 m x 0.5 m x 0.45 m) to collect samples of odorous air and
to measure ammonia emissions following the surface spreading of liquid dairy
cattle manure (1 to 2 day storage time), before and after mechanical separation
with a roller press, onto grassland in the United Kingdom. Odor samples were collected beneath the
flexible plastic sheet canopy into 50 L Tedlar bags inflated within 4 to 5
minutes time. Odor concentration was
measured by 4 to 8 panelists using dynamic olfactometry with 4 to 6 dilutions
of each sample presented for determination of the odor threshold (ED50)
value. The odor emission rate was
calculated as the product of odor units (OU) and the volumetric airflow rate
(odor units/m2/hr). The odor
emission rates measured by Pain et al. (1988) for liquid dairy manure spread on
pastures were reported by Smith and Watts (1994) at 22 OUm/s and 11 OUm/s at
time intervals of 3 and 48 hours, respectively, after spreading. In essence, the odor emission rate was
reduced by 50% two days after spreading liquid manure. Similar values were obtained for swine manure
slurry. Total odor emissions were
similar for whole dairy cattle manure slurry and separated slurry (Pain et al.,
1988).
Despite standardization and
control procedures to reduce bias, elements of subjectivity and sources of
imprecision remain in odor measurement with sensory panels. Combined with the high cost per sample of
large odor panels, this creates the need for reproducible, inexpensive
instruments that mimic the human olfactory response (Lacey, 1998).
Clanton et al. (1999b)
evaluated several possible sources of variation in determining dilution to
threshold odor units using a dynamic triangle forced choice olfactometer. For the same samples, two different 8-person
odor panels consistently produced 22 to 50% differences odor concentration (measured
in odor units), depending on odor strength.
Two different olfactometer airflow rates resulted in 9 to 28%
differences in odor units. There were
large differences in individual panelist sensitivity to odor detection and
likewise variations by individual panelists across different testing days and
within a testing session. A learning
curve for individual odor panelists was demonstrated. To improve the probability of detecting significant reductions in
odor resulting from a particular treatment, Clanton et al. (1999b) recommended
that several identical pairs of air samples will be needed, together with a
sufficient number of panelists to achieve statistically significant differences
with current olfactometry technologies.
Considerable effort has been
devoted to identification and measurement of specific gases within the
atmosphere of livestock and poultry confinement buildings (Burnett, 1969;
Elliot et al., 1978; Hammond and Smith, 1981).
A large number of odorous compounds are present in very low
concentrations. Miner (1974) reported
that the measured concentration of each gaseous compound identified in animal
waste odor was below the reported minimum olfactory threshold. Zahn et al. (1997) reported that volatile
organic acids with carbon numbers from 2 to 9 demonstrated the greatest
potential for accounting for manure odor.
Instruments available to
identify and measure the concentrations of specific odorous gases (odorants)
emitted from animal manures include gas chromatography and mass spectrometry
(GC/MS) (White et al., 1971; Hammond et al., 1974). These methods are very sensitive in detecting compounds in very
low concentrations. Peters and
Blackwood (1977) reported difficulty in positively identifying compounds
present in feedlot air samples using GC-FID (gas chromatography-flame
ionization detector) technology. Low
peak values precluded the use of GC/MS for amines. As a result of the low concentrations of many odorants in and
around CAFOs, the compounds may need to be concentrated further prior to
analysis by use of methods such as solvent desorption, thermal adsorption
(Wright, 1994: Zahn et al., 1997) or solid-phase microextraction (SPME) (Zhang
et al., 1994).
An electronic nose is an
array of gas sensors that are combined with pattern recognition software to
mimic human olfactory response (Lacey, 1998).
Current commercial applications are focused on high-valued food
products. Lacey (1998) and Mackay-Sim (1992)
listed electronic approaches to volatile gas (odor) detection: metal-oxide
semi-conductors; field-effect transistors; optical fibers; semi-conducting
polymers; and piezo-electronic quartz crystal devices. These approaches raise the possibility of
remote odor monitoring/surveillance networks for individual compounds or
odorant mixtures. The piezo-electric
crystals are sensitive to changes in surface mass caused by interaction with
gaseous molecules. As mass is added to
the surface, the resonant frequency decreases.
The sensor surface can be designed to respond to single chemicals or
groups of chemicals. Berckmans et al.
(1992) in Belgium developed a thick film semiconducting metal oxide sensor for
monitoring ammonia concentrations within, and emissions from, livestock
confinement buildings. Some sensors may
be affected by water vapor, methane, and temperature (Lacey, 1998).
Collection and storage of
odorous air samples for presentation to panelists or instrumental analysis is
an important consideration (Sweeten, 1995).
Tedlar bags (10-50 L) that are inflated in the field using portable wind
tunnel or negatively-pressurized canisters have become the most commonly used
method.
Schmidt et al. (1999)
described wind tunnel design parameters for odor sampling and concluded that
odor and hydrogen sulfide concentrations and corresponding emission rate
increase with bulk wind speed of the tunnel according to a power function
relationship. Results of Schmidt et al.
(1999) corroborated earlier work by Smith and Watts (1994b) on open unsurfaced cattle
feedlots.
2. Major Gases of Concern – Ammonia and Hydrogen Sulfide
Ammonia is one of the fixed gases of both
aerobic and anaerobic decomposition of organic wastes. Much of the nitrogen excreted by cattle is
in the form of urea, which rapidly hydrolyzes to NH3. Additional NH3 as well as amine
are produced during microbial breakdown of fecal material in confinement
buildings, on feedlot surfaces, in stockpiles, and in lagoons or runoff
retention ponds. Ammonia evolution
rates are a function of time, temperature, pH of the manure surface, and level
of biological activity. Ammonia (NH3)
volatilization is probably the most important pathway for on-site loss of
nitrogen in animal manure to air and water resources. There are four main sources of ammonia emissions on a commercial
swine facility: confinement buildings, manure and storage treatment lagoons,
land application of lagoon effluent to cropland, and potential NH3
re-emission from the soil (Aneja et al., 2000a). In the atmosphere, ammonia can react with acidic species to form
ammonium sulfate, ammonium nitrate, ammonium chloride, or particulate (Aneja et
al., 2000a). Battye et al. (1994)
reported that ammonia in the atmosphere can have a significant effect on
oxidation and deposition rates of acidic compounds.
Ammonia concentrations can be measured by
packed bed chemical-specific syringe tubes that are primarily used in
occupational safety and health applications (Sweeten et al., 1991). A second approach is GC/MS as mentioned
previously in which odorant samples are presented to the GC/MS either by vapor
syringe or by solid-phase microextraction.
The third approach is an ammonia (and amine) absorption trap in which a
known volume of air is passed through a weak acid media: sulfuric acid solution
(Luebs et al., 1974; Hutchinson et al., 1982; Cole and Parker, 1999); boric
acid solution (Moore et al., 1995; O’Halloran, 1993); sulfuric acid-impregnated
fiberglass (Peters and Blackwood, 1977).
The ammonia-absorption technique allows for comparisons of ammonia
concentrations and emission rates between various times and locations (White et
al., 1974). A fourth approach (Oosthoek
and Kroodsma 1990; and Phillips et al., 1995), involves chemoluminescence, in
which ammonia and NO2 are converted to NO at 750°C. In
a split airstream at 350°C, the NO2 is
converted to NO. Ammonia concentration
is calculated as the difference in NO concentration between the 350° and 750°C airstream. Prior U.S.
research has indicated that ammonia is emitted from surfaces of open, unpaved
cattle feedlots and dairy corrals at concentrations of 360-980 mg/m3 as compared to background
levels of 1-4 mg/m3 (Sweeten et
al., 1999). Ammonia volatilization
losses are reportedly 50% or more of total N excreted from open lot surfaces
and 23-70% following field spreading of manure.
Luebs et al. (1974) measured
ammonia concentrations at 1.2 m height upwind and downwind of open-lot dairy
operations near Chino, California, in which 145,000 dairy cows were
concentrated in several farms within a 60 square mile area near Los Angeles. Concentrations of ammonia (distillable
nitrogen) were below the odor threshold concentrations reported for
ammonia. An ammonia concentration of
540 Fg/m3 was measured
at the downwind corral fence of a 600-cow dairy. This concentration was reduced to 18 Fg/m3 at a
downwind distance of 0.5 miles (0.8 km).
By comparison, ammonia concentrations were 92 ± 89 Fg/m3 at Chino
airport near the center of the dairy area and 4 ± 2 Fg/m3 at a
non-agricultural reference site. Diurnal fluctuations were observed in ammonia
concentration at the Chino airport with highest concentrations between 1800 and
2200 hours (184 Fg/m3) and 0600 to
1000 hours (128 Fg/m3). Much lower ammonia concentrations occurred
in afternoons 1400 to 1800 hours (6 Fg/m3). Fenceline observations at an individual
dairy did not coincide with the diurnal pattern at the center of the dairy
area.
Ammonia volatilized from
liquid dairy manure slurry spread on pastures was measured (Pain et al., 1988)
by drawing air samples from the tunnel inflow and outflow sections through
absorption flasks containing orthophosphoric acid (0.005 M). Ammonia losses following application were 23
to 70 percent within 10 to 14 days after application, although 80 percent of
these losses occurred within 2 days of application. There was a strong correlation (r2 = 0.94) between
odor emissions and ammonia emissions following application of dairy cattle
slurry to the grassland pasture. A
similar relationship was obtained for swine manure slurry. A greater proportion of ammonia was lost
from dairy cattle slurry than from swine slurry.
Montes and Chastain (2000)
evaluated ammonia losses from sprinkler irrigation of swine lagoon effluent at
two tree plantations (2 and 8 years old) in South Carolina. As compared to prior research of others
(1980-1997) which reported 10-60% ammonia-nitrogen loss through sprinkler
irrigation, they observed erratic losses ranging from (-) 40% to (+) 38%, with
a mean value of 2% ± 16%.
Keck
(1997) determined the influences of manure removal frequency, climatic
conditions, and exposed surface area on ammonia emissions from cattle exercise
yards and from wind tunnel simulations of 7 m2 manured surfaces
where airflow volume could be determined. Ammonia concentration was determined
using HCl absorption. Urine caused more
than 8 times greater ammonia emission per unit area than feces (205 mg/m2h
vs. 25 mg/m2/h). Daily removal of manure (feces and urine) produced
a small decrease in ammonia emission compared to removal at three-day
intervals. Ammonia emissions were greater in warm season than in cold weather.
Reducing the surface area of manure decreased the ammonia emission.
Schmidt
et al. (1997) conducted field measurements at 5 dairies in Southern California
during winter and summer seasons to determine surface emission rates of ammonia
and other compounds implicated in contributing to PM 10 emissions. Sampling was conducted using a surface
isolation flux chamber (EPA, 1986). Of the compounds studied, ammonia had the
highest flux rate. Manure stockpiles
that were disturbed produced the highest ammonia flux rate. Amine compounds
were not detected above the detection threshold. The average ammonia emissions
for 4 dairies was 11.2 ± 4.3 kg/cow/year projected
from the late summer/early fall testing period, and was 4.8 ± 1.1 kg/cow/yr projected from the winter
testing period.
Oosthoek
and Kroodsma (1990) reported monthly ammonia concentrations of 3.0-4.8 mg/m3
from a 40-cow dairy free-stall housing unit.
Monthly ammonia emission rates ranged from 39 to 60 kg/month, or 1 to
1.5 kg/head/month, where cattle were housed at night. A scraped concrete floor had three times the ammonia emission
rate of a flushed concrete floor (600 mg/m2/hr vs. 200 mg/m2/hr).
Peters
and Blackwood (1977) measured both ammonia and hydrogen sulfide concentrations
at two cattle feedyards on the Texas High Plains. These one-time measurements were:
a. Ammonia -- 104-120 mg/m3
b. Total Sulfide -- 5-27.5 mg/m3
There
was no correlation between the NH3 and H2S
concentrations.
Battye et al. (1994) examined the European literature to arrive at what they termed “rough estimates” of ammonia emission factors for agricultural and nonagricultural sources in the U.S. The NH3 emission factors recommended for use in future U.S. emissions inventories were based primarily on European factors for animal agriculture and fertilizer application. The relative contribution of animal agriculture to the total U.S. ammonia emission inventory was extrapolated to be as follows: all cattle and calves (43.4%