首页> 外文会议>International conference on environmental biotechnology and materials engineering;EBME 2011 >Distribution and Numerical Prediction of Polycyclic Aromatic Hydrocarbons (PAHs) on Atmospheric Particles in Jinan, China
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Distribution and Numerical Prediction of Polycyclic Aromatic Hydrocarbons (PAHs) on Atmospheric Particles in Jinan, China

机译:济南大气颗粒物上多环芳烃的分布及数值预测

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16 EPA-priority PAHs on ambient airborne particles with different diameters were measured at 7 urban sites in Jinan during heating and non-heating periods to characterize their distribution and pollution levels. The concentrations of 16 paniculate PAHs were between 7.56 and 800 ng-nf3 with an average of 308 ngm-3. PAHs on atmospheric particles were dominated by 4-to 6-ring components and exhibited pronounced spatial distribution, temporal variation and size distribution. The emission strength and meteorological conditions were the most important factors affecting these trends. Furthermore, a numerical prediction model was proposed to forecast and prevent PAHs air pollution in Jinan. The coincidence between predicted and measured concentrations of PAHs demonstrated the good capability of this prediction model system.
机译:在供暖和非供暖期间,在济南的7个城市站点对不同直径的环境空气传播颗粒上的16种EPA优先PAHs进行了测量,以表征它们的分布和污染水平。 16种颗粒状多环芳烃的浓度在7.56至800 ng-nf3之间,平均308 ngm-3。大气颗粒上的多环芳烃主要由4至6个环组成,并表现出明显的空间分布,时间变化和尺寸分布。辐射强度和气象条件是影响这些趋势的最重要因素。此外,提出了一个数值预测模型来预测和预防济南的PAHs空气污染。预测和测量的PAHs浓度之间的一致性证明了该预测模型系统的良好能力。

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