Modeling Receptor Odor Exposure from Swine Production Sources Using CAM

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2008-01-01
Authors
Bundy, Dwaine
Harmon, Jay
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Harmon, Jay
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Hoff, Steven
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Agricultural and Biosystems Engineering

Since 1905, the Department of Agricultural Engineering, now the Department of Agricultural and Biosystems Engineering (ABE), has been a leader in providing engineering solutions to agricultural problems in the United States and the world. The department’s original mission was to mechanize agriculture. That mission has evolved to encompass a global view of the entire food production system–the wise management of natural resources in the production, processing, storage, handling, and use of food fiber and other biological products.

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In 1905 Agricultural Engineering was recognized as a subdivision of the Department of Agronomy, and in 1907 it was recognized as a unique department. It was renamed the Department of Agricultural and Biosystems Engineering in 1990. The department merged with the Department of Industrial Education and Technology in 2004.

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1905–present

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  • Department of Agricultural Engineering (1907–1990)

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Agricultural and Biosystems Engineering
Abstract

A model, called the Community Assessment Model for Odor Dispersion (CAM), was developed to predict receptor odor exposure from multiple swine production sources. The intended use of CAM was to provide a tool for evaluating the odor exposure to receptors in a community when siting new swine production systems and how a change in odor control technologies alters the odor exposure to receptors. CAM can handle up to 20 swine production sources with up to 100 receptors in a community of any size. The model incorporates historical average local weather data, coordinate locations of all sources and receptors, ground and above-ground area sources, seasonal variations in odor emission, source production footprint and orientation, and documented proven odor mitigation technologies. CAM does not predict the influence of calm conditions(wind speeds = 1.03m/s), topography, or obstruction downwash. CAM predicts the number of hours of exposure to weak (2:1) and greater or identifiable (7:1) and greater odors and these are used to assess a siting decision. CAM was compared against field collected odor concentration data and was found, using a technique of quantile-quantile plots, to over-predict observed odor concentrations by 1.49 for downwind distances between 152 and 1524 m in one comparison study. In a second comparative study, CAM over-predicted observed odor concentrations by 1.91, 1.31, and 1.35 for downwind distances of greater than 150, 275, and 300m, respectively.

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This article is from Applied Engineering in Agriculture 24, no. 6 (2008): 821–837.

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Tue Jan 01 00:00:00 UTC 2008
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