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ABSTRACT
A livestock odor dispersion model (LODM) was developed to predict mean odor concentration, odor frequency, instantaneous odor concentration, and peak odor concentration from livestock operations. This model is based on the Gaussian fluctuating plume model and has the ability to consider the instantaneous concentration fluctuations and the differences between odor and traditional air pollutants. It can predict odor frequency from the routine hourly meteorological data input and deal with different types of sources and multiple sources. Also, the relationship between odor intensity and odor concentration was incorporated into the model.
The LODM is a model developed especially for odor from livestock buildings and manure storage. It has the ability to consider short time odor fluctuations, which is important from research and management perspectives. The weighted odor-exceeding half-width method used in LODM to predict odor frequency is an improvement over past studies. The model can accept routine hourly meteorological input and deal with different and multiple sources. It can also consider the relationship between odor concentrations and intensity. These characteristics of LODM make it especially relevant for odor research and application.
ACKNOWLEDGMENTS
This study was financially supported by the Natural Sciences and Engineering Research Council of Canada and the University of Saskatchewan.