灰霾颗粒中痕量重金属物质对人体健康的危害,不仅仅与其重金属总含量有关,在很大程度上,与痕量重金属的尺度及其分布有直接的关联。为了研究凝并(coagulation)过程对不同初始条件的灰霾颗粒中重金属物质分布的影响,采用多重蒙特卡罗(multi-Monte Carlo,MMC)方法,模拟研究了亚微米灰霾颗粒中痕量重金属元素的分布规律。模拟发现,基于连续区布朗凝并机理下,在经过一段时间演化后,低初始数浓度的灰霾颗粒类中重金属物质质量百分比趋于均一,这表明凝并过程去除了初始重金属物质在灰霾颗粒中的富集效果;而在高初始数浓度灰霾颗粒类中重金属物质分布满足幂律关系。而且,进一步分析发现,在低初始数浓度灰霾颗粒类中重金属物质尺度分布趋于正态分布。
Trace heavy metals in smog particles are harmful to human health not only because of their total concentration but also largely due to their size and distribution. To illustrate the initial distribution effect on heav- y metal,the multi-Monte Carlo was employed to simulate the trace heavy metal distribution in submicron parti- cles. In smog particles controlled by the continuation regime brown coagulation mechanism, the mass fraction of heavy metals tended to be constant for classes with low initial concentration. The results indicated that coagula- tion depletes the enrichment of trace metals in these particles. In contrast, for particles with high initial concen- tration, the mass fraction fits the power law. Further analysis revealed that trace heavy metals tend to show a nor- mal distribution in particles with low initial concentration.