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首页> 外文期刊>Transactions of the ASAE >INFLUENCE OF METEOROLOGICAL TIME FRAME AND VARIATION ON HORIZONTAL DISPERSION COEFFICIENTS IN GAUSSIAN DISPERSION MODELING
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INFLUENCE OF METEOROLOGICAL TIME FRAME AND VARIATION ON HORIZONTAL DISPERSION COEFFICIENTS IN GAUSSIAN DISPERSION MODELING

机译:气象时间框架和变化对高斯色散模型中水平色散系数的影响

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The air pollution regulatory process involves the permitting of sources of regulated pollutants. This process requires sources to demonstrate that the National Ambient Air Quality Standards (NAAQS) are not exceeded as a result of released pollutants. A determination of a facility's compliance with the NAAQS is more frequently being based on dispersion modeling estimates rather than ambient air sampling results. Current Gaussian-based dispersion models do not adequately account for pollutant dispersion due to sub-hourly variations in wind speed and direction. This can result in overestimates of downwind concentration and consequentially require costly additional control measures or denial of a construction or operating permit. This research focuses on developing a methodology to analyze the theoretical degree of dispersion within sub-hourly and hourly intervals. The methodology employed to develop the presently used Pasquill-Gifford (PG) dispersion coefficients is explored and used in developing a new methodology for estimating theoretical dispersion coefficients based on recorded meteorological data. This comparison allowed for an appropriate application time period of the PG dispersion coefficients to be determined, which in general varied from 3 to 20 min. The most critical result of this research is that universal application of the PG dispersion coefficients to a 1 h time period is incorrect. This misapplication will result in concentration estimates based on insufficient plume spread, which will overestimate downwind concentrations and result in inappropriate regulation of emitting sources
机译:空气污染监管过程涉及允许受管制污染物的来源。此过程需要消息来源证明由于释放的污染物未超过国家环境空气质量标准(NAAQS)。确定设施是否符合NAAQS的方法通常是基于分散模型的估算值,而不是环境空气采样结果。由于风速和风向每小时亚小时变化,当前基于高斯的扩散模型不能充分考虑污染物的扩散。这可能会导致高估顺风向度,因此需要昂贵的额外控制措施或拒绝建造或运营许可。这项研究的重点是开发一种方法来分析亚小时和小时间隔内的理论分散程度。探索了用于开发当前使用的帕斯奎尔-吉福德(PG)色散系数的方法,并将其用于开发基于记录的气象数据估算理论色散系数的新方法。通过该比较,可以确定适当的PG弥散系数的应用时间,该时间通常为3至20分钟。这项研究的最关键的结果是,PG色散系数在1 h时间内的普遍应用是不正确的。这种误用将导致基于羽流不充分的浓度估计,这将高估顺风浓度并导致对排放源的不适当调节

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