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The Validation of a Simple Gaussian Dispersion Model for Determining Odour Emission Rates from Area Sources

机译:确定区域源气味排放率的简单高斯色散模型的验证

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The accuracy of dispersion models is a widely debated topic. The goal of this research was to assess if the odour emission rates (OER) predicted using a simple Gaussian model were comparable to the more intensive and expensive wind tunnel-based odour measurement technique. A Gaussian dispersion model (STINK) was used to determine odour emission rates from piggery ponds. These values were then compared to those measured simultaneously on the pond surfaces using a wind tunnel, and analysed using dynamic olfactometry. Results of linear regressions showed a moderate relationship for two of the three seasons studied, and a very good relationship for the other season studied. Overall, the model showed a good correlation between calculated downwind, and calculated on-pond, odour emission rates. The use of the STINK model shows promise as an alternative to the more labour-intensive direct emission rate measurement technique.
机译:色散模型的准确性是一个备受争议的话题。这项研究的目的是评估使用简单的高斯模型预测的气味排放率(OER)是否可与更密集,更昂贵的基于风洞的气味测量技术相媲美。使用高斯分散模型(STINK)确定猪场的气味排放率。然后将这些值与使用风洞在池塘表面同时测量的值进行比较,并使用动态嗅觉分析法进行分析。线性回归的结果显示,在所研究的三个季节中的两个中,有一个中等的关系,而在所研究的另一个季节中,则有一个很好的关系。总体而言,该模型显示出计算出的顺风与计算出的即时气味排放率之间具有良好的相关性。 STINK模型的使用显示出有望替代劳动密集型直接排放率测量技术。

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