Development of a Livestock Odor Dispersion Model: Part I. Model Theory and Development

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. INTRODUCTIONResearchers have used industrial air dispersion models to predict livestock odors downwind of livestock operations since the 1980s. The main drawback of these industrial air dispersion models is that most of them can only calculate long time average concentration. However, a series of short exposures to detectable odors can cause nuisances and generate community complaints although the hourly averaged concentrations remain at very low or undetectable levels (Ͻ1 odor unit [OU]/m

Determination of Setback Distances for Livestock Operations Using a New Livestock Odor Dispersion Model (LODM)

“…The model theory and methods, as well as a validation with field plume measurement data, have been published. 10,11 The simulation period for this study was the warm season from May 1 to October 31. The warm season was also called the odor season because it was the period that people experienced greater exposure to odor due to frequent outdoor activities and increased odor emissions.…”

“…9 A better approach might be using a model that can consider the odor concentration fluctuations to estimate the odor frequency of certain level odor. The livestock odor dispersion model (LODM) 10,11 has the ability to consider the short time odor concentration fluctuations with the input of hourly meteorological data. The objective of this study was to determine directional setback distances of a selected swine farm using LODM and various odor criteria.…”

Development of a Livestock Odor Dispersion Model: Part II. Evaluation and Validation

“…1 It has the ability to consider short time odor fluctuations and thus can predict subhour odor frequency, which is achieved by a weighted odor-exceeding half-width method. Pasquill-Gifford and Hogstrǒm dispersion parameters were applied in the model.…”

Sensitivity analysis of a livestock odour dispersion model (LODM) to input parameters: Part I, source parameters and surface parameters

“…It is capable of considering short time odour fluctuations and predicting hourly mean odour concentration and hourly odour frequency with input of hourly averaged meteorological data (Yu et al 2011a). The hourly odour frequency is defined as the frequency of short time odour concentration equaling to or exceeding an odour threshold (1 OU/m 3 in this paper).…”

“…LODM LODM is an odour dispersion model designed specifically for livestock facilities. It has the ability to predict hourly odour frequency with input hourly meteorological data based on the Gaussian fluctuating plume model (Yu et al 2011a). The hourly odour frequency is estimated by a weighted odour exceeding half width method adapted from Hogström (Högström 1972).…”