Title of article
IT—Information Techonology and the Human Interface: Calculating Direction-dependent Separation Distance by a Dispersion Model to avoid Livestock Odour Annoyance
Author/Authors
G. Schauberger، نويسنده , , M. Piringer، نويسنده , , E. Petz، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2002
Pages
13
From page
25
To page
37
Abstract
Using a dispersion model to calculate ambient odour concentrations, the separation distance between livestock buildings and residential areas is defined by the odour impact criteria incorporating the probability of exceeding a pre-selected odour threshold in odour units (OU) per cubic metre. The dynamic Austrian odour dispersion model (AODM), a Gaussian model, is used to calculate the direction-dependent separation distances for several combinations of these two values, which represent the protection level of various land use categories. The calculated direction-dependent separation distances are a function of the prevailing wind velocity and atmospheric stability conditions. At a site in the Austrian North-alpine foreland, the direction-dependent separation distance for a 1000-head pig unit (calculated on the basis of a 2-year time series of meteorological data) for pure residential areas (3% probability of threshold exceedance over the year for an odour threshold of 1 OU m−3) lies between 99 m (for northerly winds with a probability of less than 3% per year) and 362 m (for westerly winds with a probability of 34%). For the main wind directions, West and East, odour sensation can be expected more often for higher wind velocities and a neutral or stable atmosphere around sunset. North and South winds show the typical diurnal variation of a local valley wind system with predominantly northerly daytime up-valley and southerly nighttime down-valley winds. Odour sensation is therefore most likely around noon for North winds and during nighttime for South winds.
Journal title
Biosystems Engineering
Serial Year
2002
Journal title
Biosystems Engineering
Record number
1265742
Link To Document