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Odour Dispersion Modelling for Raw Rubber Processing Factories

机译:原料橡胶加工厂的气味分散模型

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An odour dispersion modelling approach was adopted to assess odour dispersion, particularly from the drying stage of raw rubber processing factories, identified as a major source of malodour pollutant in the rubber industry. The Ausplume modelling software which uses a Gaussian plume dispersion model was used to predict odour dispersion from the water scrubber, a malodour control system used by rubber processing factories. The modelling involved a selected range of parameters in correlation with characteristics of raw rubber malodour pollutants and interpretations of the predicted data were discussed in terms of effects of stack height of the water scrubber, odour concentration and local meteorological conditions at several locations in peninsular Malaysia. In general, it was found that a higher stack of water scrubber minimises effects of different emission concentration characteristics and local meteorological conditions. This was demonstrated by profiles of predicted odour concentration dispersion and minimal dispersion variation within variables as attributed by standard deviation curves. Furthermore, higher stacks predicted lower odour concentration carried over from the point of emission to ground level receptors by taking into consideration all of the modelling assumptions. In summary, the initial findings from this work are beneficial to designing a better odour control system which subsequently minimises odour impact to the surrounding environment.
机译:采用气味分散建模方法来评估气味分散体,特别是从生橡胶加工厂的干燥阶段,确定为橡胶工业中的恶臭污染物的主要来源。使用高斯羽状分散模型的AuSplume建模软件用于预测来自水洗涤器的气味分散,橡胶加工厂使用的恶臭控制系统。建模涉及所选择的参数范围与原始橡胶的特征相关的参数,并且在水洗涤器的堆叠高度的影响下,在半岛马来西亚的几个地点的堆叠高度的影响方面讨论了预测数据的解释。通常,发现更高堆的水洗涤器可最大限度地减少不同排放浓度特征和局部气象条件的影响。这是通过预测气味浓度分散率的谱和变量内的最小色散变化来证明这一点,该差异由标准偏差曲线所归属。此外,通过考虑所有建模假设,较高堆叠预测从发射点传递到地面受体的光度浓度。总之,这项工作的初始发现有利于设计更好的气味控制系统,其随后将气味的影响最小化到周围环境。

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