Direction-dependent separation distances between sources of malodorous gases and residential areas play avaluable role to avoid annoyance and complaints. Atmospheric dispersion modelling is routinely used tocalculate these distances, with meteorological data regarded as one of the critical inputs for the models. Thisstudy explores the temporal representativeness of using one year of meteorological data as model input tocalculate reliable separation distances. The year-to-year variability of direction-dependent separationdistances in the vicinity of an odour source was assessed using a sample of six years of hourly meteorologicalobservations. The calculations relate to the odour impact criterion prescribed by the jurisdiction of Queensland(Australia). The results show that the coefficient of variation, used as a statistical measure to characterize theyear-to-year variability, has a mean value of 12%. Fair agreements are thus observed for the separationdistances from one year to the other at the site under investigation, which supports the utilization of one yearof meteorological data as a good compromise to achieve reliable accuracy. The findings of this study have thepotential to support more cost-effective odour dispersion modelling guidelines.
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