Study on characteristics of typical traffic environment air pollution in shanghai
SHENG Tao, PAN Jun, DUAN Yu-sen, LIU Qi-zhen, FU Qing-yan
Shanghai Environmental Monitoring Center, National Environmental Protection Shanghai Dianshan Lake Science Observatory Research Station, Shanghai 200235, China
Abstract:Based on the online monitoring data of three types of traffic environment air monitoring stations (roadside station, port station and airport station) in Shanghai in 2018, concentration levels and diurnal-noctural distribution characteristics of pollutants in three traffic stations were discussed. The concentrations of ambient air pollutants in Shanghai during the same period were compared and analyzed, and the effects of week days and weekend were revealed. The results showed that the airborne NOx, NO2 and NO of traffic environment air are higher than the average concentrations in Shanghai, and concentrations in the port environment is the highest; The average concentration of NO in the ambient air of ports, roadsides and airports were 68, 36 and 17μg/m3, respectively, which are higher than the average concentration of Shanghai by 871%, 414% and 143%; The average concentration of O3 ranged from 42 to 65 μg/m3, which was lower than the hourly-average concentration in Shanghai. NOx, NO2, NO, PM10, PM2.5, CO and BC (black charcoal) daytime and nighttime concentrations mainly showed bimodal distribution characteristics. Their peak occurrences time coincided with the peak traffic activities; the peak of O3 mostly occurred at 13:00, and the concentration of O3 in the airport ambient air concentration was the highest, which was 108μg/m3. The results of nonparametric tests showed that SO2, NOx, NO2, NO, PM10, PM2.5, O3, CO and BC in atmosphere near-road in Shanghai were not significantly different from Monday to Sunday (P>0.05).
盛涛, 潘骏, 段玉森, 刘启贞, 伏晴艳. 上海市典型交通环境空气污染特征[J]. 中国环境科学, 2019, 39(8): 3193-3200.
SHENG Tao, PAN Jun, DUAN Yu-sen, LIU Qi-zhen, FU Qing-yan. Study on characteristics of typical traffic environment air pollution in shanghai. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(8): 3193-3200.
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