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Modeling Receptor Odor Exposure from Swine Production Sources Using CAM
Applied Engineering in Agriculture
  • Steven J. Hoff, Iowa State University
  • Dwaine S. Bundy, Iowa State University
  • Jay D. Harmon, Iowa State University
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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.

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

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American Society of Agricultural and Biological Engineers
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Citation Information
Steven J. Hoff, Dwaine S. Bundy and Jay D. Harmon. "Modeling Receptor Odor Exposure from Swine Production Sources Using CAM" Applied Engineering in Agriculture Vol. 24 Iss. 6 (2008) p. 821 - 837
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