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A Comparative Analysis of Methods for Determining Odour-Related Separation Distances around a Dairy Farm in Beijing, China

1
School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
2
WG Environmental Health, Unit for Physiology and Biophysics, University of Veterinary Medicine, Veterinärplatz 1, A-1210 Vienna, Austria
3
Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China
4
Department of Environmental Meteorology, Central Institute of Meteorology and Geodynamics, Hohe Warte 38, A-1190 Vienna, Austria
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(5), 231; https://doi.org/10.3390/atmos10050231
Received: 28 February 2019 / Revised: 25 April 2019 / Accepted: 26 April 2019 / Published: 30 April 2019
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Abstract

Concentrated animal feeding operations (CAFOs) such as dairy farms are a source of odorous compound emissions. In this study, by identifying relevant odour sources within a 300-head dairy farm and quantifying their emissions, we determined the separation distances to avoid odour annoyance around the dairy farm with two empirical models (Austrian and German Verein Deutscher Ingenieure (VDI) model) and a dispersion model (AERMOD). Besides, this study ponders on the selection of an appropriate meteorological station that best represents the area surrounding the farm. Results show that the maximum separation distances of an exceedance probability of P = 15% determined by the two empirical and the dispersion models are 524 m, 440 m and 655 m, while the minimum values are 202 m, 135 m, and 149 m, respectively. The NE–SW stretching separation distances match well with the wind rose. The mean ratios of separation distances determined by the two empirical models to that of the dispersion model are 1.23 and 0.95. Moreover, statistics of the separation distances indicate good accordance between the empirical models and the dispersion model. View Full-Text
Keywords: environmental odour; annoyance; dispersion modelling; empirical model; separation distance; livestock farming environmental odour; annoyance; dispersion modelling; empirical model; separation distance; livestock farming
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Wu, C.; Brancher, M.; Yang, F.; Liu, J.; Qu, C.; Schauberger, G.; Piringer, M. A Comparative Analysis of Methods for Determining Odour-Related Separation Distances around a Dairy Farm in Beijing, China. Atmosphere 2019, 10, 231.

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