Diurnal and Annual Variation of Odour Emission from Animal Houses: a Model Calculation for Fattening Pigs

Schauberger, Günther; Piringer, Martin; Petz, E.

doi:10.1006/jaer.1999.0457

Cited by 36 publications

(30 citation statements)

References 5 publications

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“…The corresponding odour flow in OU/m³ is assessed by a simple model for odour release described by Schauberger et al (1999Schauberger et al ( & 2000b. The chosen system parameters typical for a livestock building in middle Europe (Schauberger et al, 1995) can be found in detail in Schauberger et al (2001b and2002).…”

Section: Short Description Of the Aodmmentioning

confidence: 99%

A Comparison of Odour Complaint Statistics With Model Calculations of Odour Episodes

Schauberger¹,

Piringer²,

Petz³

2006

proc water environ fed

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The Austrian odour dispersion model (AODM) is a Gaussian model suitable for the prediction of ambient odour concentrations. Based on cumulative frequency distributions of calculated odour concentrations at receptor points, separation distances are obtained defined by odour impact criteria chosen as a combination of odour threshold and probability of threshold exceedance. At these separation distances, depending on the wind direction, the occurrence of odour sensation is analysed and compared with the well-known time pattern of the complaint statistics for odour.Here, the AODM is used to calculate separation distances for an odour threshold of 1 odour unit (OU) per cubic metre exceeded in 3% of the year. At a site in the Austrian North-alpine foreland, direction-dependent separation distances for a 1000 head pig unit (calculated on the basis of a two-year time series of meteorological data) lie between 99 m for northerly winds and 362 m for westerly winds. For these directiondependent separation distances we analysed when odour sensation can be expected in relation to meteorological parameters as well time of the day and year. For the main wind directions, West and East, odour sensation can be expected more often for higher wind velocities and a neutrally or stably stratified 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 night-time down-valley winds. Odour sensation is therefore most likely around noon for North wind and during night time for South wind. This time pattern of the calculated odour sensation doesn't fit to the time pattern of the complaint statistics which shows complaints to occur predominantly in the afternoon and evening hours of the warm season when residents are outside. The presented comparison of odour complaint statistics with the calculated odour episodes is a helpful tool to find out when odour is perceived as most annoying. As a result, the evaluation of these values by the odour impact criteria should not only be based on statistical limits as it is done today but also by considering the annoying potential of odour due to the behaviour of the neighbours. Therefore the odour episode should be weighted by the time of the day and time of the year, as is done with the limit values for noise.

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Section: Short Description Of the Aodmmentioning

confidence: 99%

A Comparison of Odour Complaint Statistics With Model Calculations of Odour Episodes

Schauberger¹,

Piringer²,

Petz³

2006

proc water environ fed

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“…The last component especially can reduce the acceptability of livestock farming in the vicinity by malodour (Schiffman 1998). By combining an indoor climate model with parameters defining the odour release of the animals within a livestock building, the diurnal and annual variation of the odour emission of the farm can be calculated (Schauberger et al 1999). The aim of this paper is to apply a steady-state balance model in prognostic mode to assesse the indoor climate [hygro-thermal parameters and air quality (CO 2 , odour)] on the basis of 30 min values.…”

Section: Introductionmentioning

confidence: 99%

Steady-state balance model to calculate the indoor climate of livestock buildings, demonstrated for finishing pigs

Schauberger¹,

Piringer

Petz

2000

International Journal of Biometeorology

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The indoor climate of livestock buildings is of importance for the well-being and health of animals and their production performance (daily weight gain, milk yield etc). By using a steady-state model for the sensible and latent heat fluxes and the CO2 and odour mass flows, the indoor climate of mechanically ventilated livestock buildings can be calculated. These equations depend on the livestock (number of animals and how they are kept), the insulation of the building and the characteristics of the ventilation system (ventilation rate). Since the model can only be applied to animal houses where the ventilation systems are mechanically controlled (this is the case for a majority of finishing pig units), the calculations were done for an example of a finishing pig unit with 1,000 animal places. The model presented used 30 min values of the outdoor parameters temperature and humidity, collected over a 2-year period, as input. The projected environment inside the livestock building was compared with recommended values. The duration of condensation on the inside surfaces was also calculated.

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“…whereas models specifically designed to predict odour dispersion for the agricultural sector are not 13 so frequent (Navarotto et al, 2007). Therefore, odour dispersion models applied to agriculture often 14 derive from the first ones.…”

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confidence: 99%

A software application for mapping livestock waste odour dispersion

Danuso

Rocca

Ceccon

et al. 2015

Environmental Modelling & Software

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Diurnal and Annual Variation of Odour Emission from Animal Houses: a Model Calculation for Fattening Pigs

Cited by 36 publications

References 5 publications

A Comparison of Odour Complaint Statistics With Model Calculations of Odour Episodes

A Comparison of Odour Complaint Statistics With Model Calculations of Odour Episodes

Steady-state balance model to calculate the indoor climate of livestock buildings, demonstrated for finishing pigs

A software application for mapping livestock waste odour dispersion

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