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首页> 外文会议>AWMA's (Air Waste Management Association) annual conference exhibition >Quantification and Verification of Odour Impact from Fugitive Sources
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Quantification and Verification of Odour Impact from Fugitive Sources

机译：量化和验证逃犯来源的气味影响

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Fugitive emissions are very difficult to quantify, particularly for odour emissions. So far there have not been any specific methods established to estimate the emissions from fugitive sources. This paper presents a new methodology that has been developed, using a combination of ambient odour monitoring and modeling, to quantify the odour emissions from fugitive sources such as doors, windows and transport trucks. This methodology is based on the assumption that the odour is very well mixed within the cavity region attached to a building or structure, and that the odour concentration within the cavity region might not be very sensitive to meteorological conditions. The ambient odour samples within a cavity region are collected, and then quantified by dynamic dilution olfactometer within 16 hours after collection. Once the ambient odour concentrations within the cavity are determined, the odour emission rates are back-calculated by an air dispersion model such as SCREEN3, using a pseudo-point source and actual on-site measured meteorological conditions as input. To verify this methodology, ambient odour samples are taken and quantified at various downwind locations from the facility under various meteorological conditions. The back-calculated odour emission rates are input into the AERMOD model for predicting the odour concentrations at the same downwind locations where ambient odour concentrations are measured. The comparisons between the measured and predicted ambient odour concentrations were in very good agreement during a verification of the methodology.
机译：逸散排放很难量化，尤其是气味排放。迄今为止，尚未建立任何具体方法来估算逃犯来源的排放。本文介绍了一种结合环境气味监测和建模方法开发的新方法，用于量化来自门，窗和运输卡车等逃逸来源的气味排放。该方法基于以下假设：气味在与建筑物或建筑物相连的空腔区域内混合得很好，并且空腔区域内的气味浓度可能对气象条件不太敏感。收集空腔区域内的环境气味样品，然后在收集后16小时内通过动态稀释嗅觉仪进行定量。一旦确定了空腔内的环境气味浓度，就可以使用伪点源和实际的现场测量气象条件作为输入，通过空气扩散模型（例如SCREEN3）对气味排放率进行反算。为了验证该方法，在各种气象条件下，从设施的各个顺风位置采集并量化了环境气味样本。将反算出的气味排放速率输入AERMOD模型，以预测在测量环境气味浓度的相同顺风位置的气味浓度。在方法验证过程中，测量到的和预测的环境气味浓度之间的比较非常吻合。

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