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Evaluation of ISC3 and CALPUFF Atmospheric Dispersion Models for Odor Nuisance Prediction
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: 2007 ASAE Annual Meeting 074181.(doi:10.13031/2013.23276)
Authors: Thomas P Curran, Vincent A Dodd, William L Magette
Keywords: Atmospheric dispersion model, odor nuisance
This paper presents an evaluation of a plume model (ISC3) and an advanced puff model (CALPUFF) for the prediction of odor concentrations at a commercial pig unit. Key parameters such as odor emission rate and meteorological conditions were measured at source. Downwind odor intensity was assessed by field panelists during 10-minute periods on three sampling days and converted to mean concentrations by equations developed from laboratory analysis of source odor samples. Emission characteristics and meteorological data were inputted to both ISC3 and the screening mode of CALPUFF. Both models produced similar predicted odor concentrations. The average predicted to measured mean concentration ratio on the sampling days varied from 1.40 to 9.37. Over 80% of the predictions were greater than the corresponding measured values, thus indicating that both models produce conservative estimates of downwind odor concentration.(Download PDF) (Export to EndNotes)