【摘要】 目的探讨城市空气污染物与交通流量的关联度。方法在南宁市不同交通流量的街道进行空气采样,分析空气样品中NO2、SO2、CO、TSP浓度,并采用邓聚龙的灰色系统理论分析空气污染物浓度与交通流量的关联度。结果交通流量与SO2、NO2、CO、TSP的关联度分别为0.5764、0.6894、0.6817、0.7002,其中上述4种污染物与摩托车流量的关联度分别为0.6085、0.7290、0.7156和0.7144,与其他机动车流量的关联度分别为0.5220、0.6247、0.6051、0.6526。结论4种空气污染物浓度受交通流量影响的顺序为TSP>NO2>CO>CO2,其中摩托车流量对上述4种空气污染物的影响最大。更多还原

【Abstract】 Objective To study the correlation of the air pollutants with traffic volume in urban area. Methods Air sampling was carried out in streets with different traffic volume in Nanning, Guangxi. The concentrations of NO2, SO2, CO, TSP were analyzed. Grey Relation Theory recommended by Deng Julong was applied in this analysis on correlativity of air pollutants with traffic volume. Results The concentrations of SO2, NO2, CO, TSP showed the correlative degrees of 0.576 4, 0.689 4, 0.681 7, 0.700 2 associated with the whole traffic volume in the streets, 0.608 5, 0.729 0, 0.715 6, 0.714 4 associated with volume of motorcycle, and 0.522 0, 0.624 7, 0.605 1, 0.652 6 associated with other motor-vehicles respectively. Conclusion The concentrations of 4 kinds of air pollutants were effected by the volume of whole motorvehicle mainly by motorcycle, and showed a decreasing order: TSP>NO2>CO>CO2.更多还原