2000
DOI: 10.2175/193864700785303303
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Odor Impact Distance Guideline for Swine Production Systems

Abstract: The determination of odor-based setbacks for swine facilities is an important issue for the pork production industry. Sufficient setbacks prevent costly nuisance complaints and lawsuits, and excessive setbacks stifle expansion. Therefore, a science-based setback estimation tool to guide and educate livestock producers and regulators is needed. This paper describes a new simple-to-use, site-specific setback guideline developed specifically for U.S. swine production facilities. The guideline at least partially a… Show more

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Cited by 19 publications
(25 citation statements)
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“…Note that the Chillgard RT refrigerant monitor (NH 3 sensor) had a high immunity to interferences with H 2 S. When 10 ppm of H 2 S was presented to the sensor, the NH 3 sensor gave an equivalent response of 0.5 ppm. In fact, the H 2 S concentrations inside the barn were much lower than 1 ppm so that the electrochemical sensors for NH 3 …”
Section: Odor and Gas Measurementmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that the Chillgard RT refrigerant monitor (NH 3 sensor) had a high immunity to interferences with H 2 S. When 10 ppm of H 2 S was presented to the sensor, the NH 3 sensor gave an equivalent response of 0.5 ppm. In fact, the H 2 S concentrations inside the barn were much lower than 1 ppm so that the electrochemical sensors for NH 3 …”
Section: Odor and Gas Measurementmentioning
confidence: 99%
“…At present, most existing setback distance guidelines in Europe, Australia, and North America are all based on experience. [1][2][3][4] It should be noted that it is almost impossible and impractical to generate setback distances merely based on experiments because every odor and gas source is different, every surrounding area is different, and weather conditions change constantly. Therefore, to determine science-based setback distances, air dispersion models should be used to estimate downwind odor and gas concentrations from livestock operations.…”
Section: Introductionmentioning
confidence: 99%
“…Researchers have been using air dispersion models to estimate reasonable setback distances between the livestock operations and neighboring residences; however, the results have not been well accepted yet. [1][2][3][4][5] One of the main reasons is the limited odor emission data available to be used in the modeling. The odor emissions depend on many factors, including building characteristics, ventilation rates, animal size and density, diet, weather conditions, manure handling systems, etc., and are highly variable with large diurnal and seasonal fluctuations.…”
Section: Introductionmentioning
confidence: 99%
“…The odor emissions depend on many factors, including building characteristics, ventilation rates, animal size and density, diet, weather conditions, manure handling systems, etc., and are highly variable with large diurnal and seasonal fluctuations. [6][7][8][9][10][11] Odor emission rates have been measured more or less randomly and the means or geometric means of these limited measured odor emission data were used as representative values in odor dispersion and setback modeling without considering the diurnal and seasonal variations, 2,4,5 which may result in great uncertainties of setback distance calculation. Hence, it is necessary to quantify seasonal variations of odor emissions from livestock farms in order to provide accurate emission data for air dispersion modeling and setback determination.…”
Section: Introductionmentioning
confidence: 99%
“…Heber, Agricultural and Biological Engineering Department, Purdue University, West Lafayette, IN 47907;phone: 765-494-1214;fax: 765-496-1115;e-mail: heber@purdue.edu. ments of odor emission from stratified facultative lagoons (Schulz and Barnes, 1990) have been published. Field measurements of the character and quantity of odor emissions from outdoor storage and treatment facilities are also needed to further develop setback guidelines and atmospheric dispersion models (Schauberger and Piringer, 1997;Lim et al, 2000) and to evaluate odor abatement technologies such as aeration, solids separation, and covers (Ritter, 1989;Pain and Bonazzi, 1993;Zhang et al, 1996). Therefore, the objectives of this study were to: 1.…”
mentioning
confidence: 99%