Distribution characteristics of PM 2.5, NO 2, CO levels and concentrations on roads in Xi'an City

Q2 Environmental Science 环境科学研究 Pub Date : 2017-01-25 DOI:10.13198/J.ISSN.1001-6929.2017.01.15

沈敏霞, 曹军骥, 张宁宁, 王轩, 刘随心

引用次数: 0

摘要

To obtain the horizontal concentration distribution characteristics of PM2.5, NO2, and CO on roads in Xi'an City, Xiaozhai and Qinling Ring Road were selected as representatives of urban and suburban roads in Xi'an City. The horizontal distribution monitoring method was used to obtain the horizontal concentration distribution characteristics of each road at 0, 15, and 50 meters away from the road edge ρ (PM2.5) ρ (NO2) and ρ (CO). The results indicate that compared to the Qinling Huanshan Road (hereinafter referred to as Qinling), the observation point of Xiaozhai in the urban area has ρ (PM2.5) ρ (NO2) and ρ (CO) are (88 ± 50) and (78.6 ± 29.8) respectively μ Both g/m3 and (1.5 ± 0.3) mg/m3 are higher than the mass concentrations of the three in the Qinling Mountains [55 ± 23) and (47.9 ± 19.8), respectively] μ G/m3 and (1.4 ± 0.1) mg/m3. In terms of spatial distribution, ρ (PM2.5) ρ (NO2) ρ (CO) The horizontal gradient distribution is obvious. Compared with the 0 m distance from the road edge, Xiaozhai ρ (PM2.5) decreased by 6.48% and 7.96% at distances of 15 and 50 meters from the road edge, respectively, while the Qinling Mountains decreased by 5.45% and 9.09%; Xiaozhai ρ (NO2) decreased by 8.57% and 14.29% at 15 and 50 meters, respectively, while the Qinling Mountains decreased by 15.45% and 24.89%; At a distance of 50 meters from the edge of the road, Xiaozhai ρ (CO) decreased by 25.00%, while Qinling Mountains decreased by 25.00% and 41.67% at distances of 15 and 50 meters from the road edge, respectively. Research shows that PM2.5, NO2, and CO from motor vehicle emissions have a significant distance effect on both sides of the road, and the horizontal decrease of observation points in suburban areas is more pronounced

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西安市道路PM 2.5 NO 2 CO水平浓度分布特征

为获得西安市道路PM2.5、NO2和CO的水平浓度分布特征，选取小寨和秦岭环山路作为西安市城区道路和郊区道路的代表，采用水平分布的监测方法获得了每条道路距离道路边缘0、15和50 m处的ρ（PM2.5）、ρ（NO2）和ρ（CO）.结果表明：与秦岭环山路（下称秦岭）相比，城区观测点小寨的ρ（PM2.5）、ρ（NO2）和ρ（CO）分别为（88±50）（78.6±29.8）μg/m3和（1.5±0.3）mg/m3，均高于秦岭三者的质量浓度[分别为（55±23）（47.9±19.8）μg/m3和（1.4±0.1）mg/m3].在空间分布上，ρ（PM2.5）、ρ（NO2）、ρ（CO）水平梯度分布明显.与距离道路边缘0 m处相比，小寨ρ（PM2.5）在距离道路边缘15和50 m处分别减少了6.48%、7.96%，秦岭减少了5.45%、9.09%；小寨ρ（NO2）在15和50 m处分别减少了8.57%、14.29%，秦岭减少了15.45%、24.89%；在距离道路边缘50 m处小寨ρ（CO）减少了25.00%，而秦岭在距离道路边缘15和50 m处分别减少了25.00%、41.67%.研究显示，来自于机动车排放的PM2.5、NO2和CO在道路两侧有明显的距离效应，并且郊区观测点水平递减更明显.

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