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首页> 外文期刊>Journal of Aerosol Science >Development and evaluation of a ground-level area source analytical dispersion model to predict particulate matter concentration for different particle sizes
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Development and evaluation of a ground-level area source analytical dispersion model to predict particulate matter concentration for different particle sizes

机译:开发和评估地面面积源分析弥散模型,以预测不同粒径的颗粒物浓度

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摘要

The dispersion of particulate matter downwind of a biosolids applied site was modeled incorporating dry deposition. For this purpose, a ground-level area source analytical dispersion model known as particulate matter deposition - PMD was developed. The PMD model includes dry deposition which involves particulate deposition velocities in predicting concentrations. The performance of this model was statistically evaluated after applying it to particulate matter emitting from an agricultural field applied with biosolids. The results of the statistical evaluation are presented for different particle sizes. The statistical evaluation results showed that the PMD model satisfied the criteria for most of the statistical performance measures considered. This study concludes that the PMD model can be used effectively in predicting particulate matter concentrations with dry deposition in unstable conditions (B and C) at different wind speed categories for near-field downwind distances of an area source.
机译:结合干沉降对生物固体施用部位顺风方向颗粒物的分散进行了建模。为此,开发了一种称为颗粒物沉积-PMD的地面区域源分析弥散模型。 PMD模型包括干法沉积,其中涉及预测浓度的颗粒沉积速度。在将模型应用于从施用了生物固体的农业领域排放的颗粒物后,对该模型的性能进行了统计评估。给出了不同粒径的统计评估结果。统计评估结果表明,PMD模型满足了所考虑的大多数统计绩效指标的标准。这项研究得出结论,对于区域源的近场顺风距离,PMD模型可以有效地用于预测在不同风速类别下的不稳定条件(B和C)下具有干沉降的颗粒物浓度。

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