期刊
ACS ES&T ENGINEERING
卷 -, 期 -, 页码 -出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsestengg.2c00027
关键词
NO2 formation; mobile monitoring; fixed-site monitoring; air quality; dispersion models
资金
- National Key Research and Development Program of China [2018YFE0106800]
- National Natural Science Foundation of China [52170111]
- Ford Motor Company (Ford)
- National Engineering Laboratory for Mobile Source Emission Control Technology
- China Environmental Protection Foundation
The spatial distribution of nitrogen dioxide (NO2) in cities is crucial for improving health impact assessments for NO2 exposure. The study found a strong linear relationship between NO2/NOx ratios and ambient background O-3 in on-road and near-roadway microenvironments. Heavy-duty diesel vehicles (HDDVs) can serve as effective indicators of variability in NO2/NOx ratios.
An understanding of the spatial distribution of nitrogen dioxide (NO2) in cities is required to improve health impact assessments for NO2 exposure. In this study, 32 702 5 s averaged on-road measurements and 125 hourly near-roadway measurements were used to evaluate the variability of NO2 and nitrogen oxide (NOx) concentrations in multiple microenvironments during two sampling campaigns (nonholiday and holiday). Microenvironments impacted by heavy-duty diesel vehicles (HDDVs) had large variations in NO2/NOx ratios due to the holiday effect. There was a strong linear relationship between NO2/NOx ratios and ambient background O-3 in on-road and near-roadway microenvironments. The slopes of the regression lines (Delta(NO2/NOx)/Delta O-3) provide estimations of the change rate of NO2/NOx ratios with respect to ambient background O3. Variable slopes occurred in on-road but not for near-roadway microenvironments. This is evidence that the change rate of on-road NO2/NOx ratios is strongly affected by vehicle fleet composition (i.e., HDDV%), while the near-roadway NO2/NOx ratios are more influenced by the atmospheric turbulence. The findings indicate that HDDVs could be a valid indicator of variability in NO2/NOx ratios concerning ambient background O-3 and the effect of HDDVs should be embedded into dispersion models for better prediction of NO2 concentrations in traffic-related environments.
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