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Characterization of Year-to-Year Variability of Separation Distances Between Odour Sources and Residential Areas to Avoid Annoyance

机译:在异味和住宅区之间的分离距离年度变异性的表征,以避免烦恼

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Direction-dependent separation distances between sources of malodorous gases and residential areas play avaluable role to avoid annoyance and complaints. Atmospheric dispersion modelling is routinely used tocalculate these distances, with meteorological data regarded as one of the critical inputs for the models. Thisstudy explores the temporal representativeness of using one year of meteorological data as model input tocalculate reliable separation distances. The year-to-year variability of direction-dependent separationdistances in the vicinity of an odour source was assessed using a sample of six years of hourly meteorologicalobservations. The calculations relate to the odour impact criterion prescribed by the jurisdiction of Queensland(Australia). The results show that the coefficient of variation, used as a statistical measure to characterize theyear-to-year variability, has a mean value of 12%. Fair agreements are thus observed for the separationdistances from one year to the other at the site under investigation, which supports the utilization of one yearof meteorological data as a good compromise to achieve reliable accuracy. The findings of this study have thepotential to support more cost-effective odour dispersion modelling guidelines.
机译:恶臭气体和住宅区源之间的方向依赖性分离距离发挥作用避免烦恼和投诉的宝贵作用。常规使用大气分散建模计算这些距离,气象数据被认为是模型的关键输入之一。这个研究探讨了使用一年气象数据作为模型输入的时间代表性计算可靠的分离距离。方向依赖分离的年度变化使用六年的每小时气象的样本评估气味源附近的距离观察。计算涉及昆士兰管辖权规定的气味影响标准(澳大利亚)。结果表明,变异系数用作表征的统计措施年度变化,平均值为12%。因此观察到公平协议进行分离在调查下的网站上的一年到另一年的距离,支持一年的利用气象数据作为良好的妥协,实现可靠的准确性。这项研究的结果有潜力支持更具成本效益的异味分散建模指南。

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