Livestock Odor Dispersion Modeling: A Review

Yu, Zimu; Guo, Haobo; Laguë, C.

doi:10.13031/2013.32588

Cited by 22 publications

(2 citation statements)

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“…Especially as breeders have been paying more attention to the emission of harmful gases from livestock and poultry breeding, studies on the diffusion mechanism of harmful gases such as NH 3 , H 2 S, and CH 4 are gradually increasing. Gas diffusion models mainly include Gaussian plume models, Puff models, Fluctuating models, and other models that have been used in livestock odor dispersion modeling [59]. Li et al [60] applied the equilibrium model ISORROPIA II to predict the behavior of inorganic aerosols in response to precursor gas concentrations and environmental parameters.…”

Section: Gas Diffusion Modelmentioning

confidence: 99%

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

et al. 2023

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The environment in livestock and poultry houses plays an important role in the growth and reproduction of livestock and poultry. In order to obtain the environmental conditions of livestock and poultry houses in a timely and reliable manner, and eliminate adverse environmental factors, scholars have been exploring various methods to obtain and predict environmental factors. This paper reviewed the literature from the last 10 years, specifically focusing on technologies for detecting environmental factors in livestock and poultry houses, which can be mainly divided into three categories: research on the environmental monitoring and control of livestock and poultry houses based on detection equipment and wireless sensor technology; research on the distribution and regularity of environmental factors in livestock and poultry houses based on a mathematical model; research on the environmental simulation and detection of livestock and poultry houses based on computer technology. The current testing methods have their advantages and disadvantages. When studying environmental factors, researchers should choose the most appropriate method for data acquisition according to the actual situation. The proposed recommendations for achieving this goal are as follows: (1) The control of environmental factors should be combined with the physiological response of livestock and poultry. The needs of animals should be considered; (2) Novel approaches need to be developed to integrate energy requirements into the environmental regulation of livestock and poultry houses; (3) It is necessary to research and develop control models and strategies that can predict the environment in the houses, and the transient simulation method should be further explored; (4) Improve environmental detection and control accuracy through the coupling of different technologies.

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Section: Gas Diffusion Modelmentioning

confidence: 99%

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

et al. 2023

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“…livestock odour) is that it can be detected by receptors when exceeding the odour threshold in a few seconds, even though the hourly mean odour concentration is below the odour threshold. Therefore, the hourly averaged mean concentration predicted by most of the air dispersion models cannot be used to fully evaluate the odour impact, thus it hinder the application of the existing air dispersion models (Yu et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of a livestock odour dispersion model (LODM) to input parameters: Part I, source parameters and surface parameters

Yu¹,

Guo²,

Laguë³

2013

Can. Biosyst. Eng.

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Yu, Z., H. Guo and C. Laguë. 2013. Sensitivity analysis of a livestock odour dispersion model (LODM) to input parameters, Part 1: Source parameters and surface parametersl. Canadian Biosystems Engineering/Le génie des biosystèmes au Canada 55: 6.1-6.11. Sensitivity analysis was conducted to evaluate a livestock odour dispersion model (LODM) with respect to its input source parameters including: stack height, stack diameter, exit velocity, exit temperature, and emission rate and surface parameters (surface roughness, albedo, and Bowen ratio). An elasticity value was calculated together with the average change of odour concentration and frequency to indicate the model sensitivity to its input parameters. Results showed that the source parameters have the similar medium impact on model predicted hourly odour concentrations and hourly odour frequencies. The sensitivity of emission rate is lower to odour frequencies than odour concentrations. Among the three surface parameters, LODM has low sensitive to surface roughness while its sensitivity to albedo and Bowen ratio is negligible. In practice, in order to reduce the odour impact from livestock operation, the most effective way is to reduce the emission rate. Keywords: Livestock odour dispersion model, sensitivity analysis, odour emission rate, surface roughness Une analyse de sensibilité a été faite pour évaluer un modèle de dispersion d'odeur provenant d'élevage (LODM) prenant en compte ses intrants qui incluent: la hauteur de sortie de ventilation, le diamètre de sortie de ventilation, la vitesse de sortie, la température à la sortie, le taux d'émission et les paramètres du surface (rugosité de surface, albedo et ratio Bowen). Une valeur d'élasticité a été calculée ainsi que la moyenne des changements de concentration et fréquence d'odeur pour indiquer la sensibilité du modèle en relation aux intrants. Les résultats ont montré que les intrants ont un impact moyen similaire sur la prédiction horaire des concentrations et des fréquences d'odeur obtenue par le modèle. La sensibilité du taux d'émission est plus faible pour les fréquences d'odeur que pour les concentrations d'odeur. Pour ce qui est des trois paramètres de surface, LODM a une sensibilité faible à la rugosité de surface et sa sensibilité est négligeable à l'albedo et au ratio Bowen. En pratique, de manière à réduire l'impact des odeurs d'élevage, le moyen le plus efficace est de réduire le taux d'émission. Mots clés: modèle de dispersion des odeurs d'élevage, analyse de sensibilité, taux d'émission d'odeur, rugosité de surface

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