Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Factors influencing separation distances against odour annoyance calculated by Gaussian and Lagrangian dispersion models
https://orcid.org/0000-0002-7583-8700
Abstract Direction-dependent separation distances to avoid odour annoyance, calculated with the Gaussian Austrian Odour Dispersion Model AODM and the Lagrangian particle diffusion model LASAT at two sites, are analysed and compared. The relevant short-term peak odour concentrations are calculated with a stability-dependent peak-to-mean algorithm. The same emission and meteorological data, but model-specific atmospheric stability classes are used. The estimate of atmospheric stability is obtained from three-axis ultrasonic anemometers using the standard deviations of the three wind components and the Obukhov stability parameter. The results are demonstrated for the Austrian villages Reidling and Weissbach with very different topographical surroundings and meteorological conditions. Both the differences in the wind and stability regimes as well as the decrease of the peak-to-mean factors with distance lead to deviations in the separation distances between the two sites. The Lagrangian model, due to its model physics, generally calculates larger separation distances. For worst-case calculations necessary with environmental impact assessment studies, the use of a Lagrangian model is therefore to be preferred over that of a Gaussian model. The study and findings relate to the Austrian odour impact criteria.
Highlights Austrian peak-to-mean algorithm is applied to a Gaussian and a Lagrangian model. Atmospheric stability is deduced from ultrasonic anemometer measurements. Site-specific peak-to-mean factors are compared and discussed. Separation distances for two sites and with two models are compared and discussed. The findings are related to the Austrian odour impact criteria.
Factors influencing separation distances against odour annoyance calculated by Gaussian and Lagrangian dispersion models
https://orcid.org/0000-0002-7583-8700
Abstract Direction-dependent separation distances to avoid odour annoyance, calculated with the Gaussian Austrian Odour Dispersion Model AODM and the Lagrangian particle diffusion model LASAT at two sites, are analysed and compared. The relevant short-term peak odour concentrations are calculated with a stability-dependent peak-to-mean algorithm. The same emission and meteorological data, but model-specific atmospheric stability classes are used. The estimate of atmospheric stability is obtained from three-axis ultrasonic anemometers using the standard deviations of the three wind components and the Obukhov stability parameter. The results are demonstrated for the Austrian villages Reidling and Weissbach with very different topographical surroundings and meteorological conditions. Both the differences in the wind and stability regimes as well as the decrease of the peak-to-mean factors with distance lead to deviations in the separation distances between the two sites. The Lagrangian model, due to its model physics, generally calculates larger separation distances. For worst-case calculations necessary with environmental impact assessment studies, the use of a Lagrangian model is therefore to be preferred over that of a Gaussian model. The study and findings relate to the Austrian odour impact criteria.
Highlights Austrian peak-to-mean algorithm is applied to a Gaussian and a Lagrangian model. Atmospheric stability is deduced from ultrasonic anemometer measurements. Site-specific peak-to-mean factors are compared and discussed. Separation distances for two sites and with two models are compared and discussed. The findings are related to the Austrian odour impact criteria.
Factors influencing separation distances against odour annoyance calculated by Gaussian and Lagrangian dispersion models
https://orcid.org/0000-0002-7583-8700
Abstract Direction-dependent separation distances to avoid odour annoyance, calculated with the Gaussian Austrian Odour Dispersion Model AODM and the Lagrangian particle diffusion model LASAT at two sites, are analysed and compared. The relevant short-term peak odour concentrations are calculated with a stability-dependent peak-to-mean algorithm. The same emission and meteorological data, but model-specific atmospheric stability classes are used. The estimate of atmospheric stability is obtained from three-axis ultrasonic anemometers using the standard deviations of the three wind components and the Obukhov stability parameter. The results are demonstrated for the Austrian villages Reidling and Weissbach with very different topographical surroundings and meteorological conditions. Both the differences in the wind and stability regimes as well as the decrease of the peak-to-mean factors with distance lead to deviations in the separation distances between the two sites. The Lagrangian model, due to its model physics, generally calculates larger separation distances. For worst-case calculations necessary with environmental impact assessment studies, the use of a Lagrangian model is therefore to be preferred over that of a Gaussian model. The study and findings relate to the Austrian odour impact criteria.
Highlights Austrian peak-to-mean algorithm is applied to a Gaussian and a Lagrangian model. Atmospheric stability is deduced from ultrasonic anemometer measurements. Site-specific peak-to-mean factors are compared and discussed. Separation distances for two sites and with two models are compared and discussed. The findings are related to the Austrian odour impact criteria.
Factors influencing separation distances against odour annoyance calculated by Gaussian and Lagrangian dispersion models
Piringer, Martin (Autor:in) / Knauder, Werner (Autor:in) / Petz, Erwin (Autor:in) / Schauberger, Günther (Autor:in)
Atmospheric Environment ; 140 ; 69-83
27.05.2016
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
An electronic nose for odour annoyance assessment
| Elsevier | 2001
DETERMINING TOLERANCE TO ODOUR ANNOYANCE IN COMMUNITIES NEAR HOG OPERATIONS
| British Library Online Contents | 2014