Evaluating near-roadway concentrations of diesel-related air pollution using RLINE

被引:20
|
作者
Patterson, Regan F. [1 ]
Harley, Robert A. [1 ]
机构
[1] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA
关键词
traffic-related air pollution; Black carbon; Oxides of nitrogen; Dispersion modeling; RLINE; DISPERSION MODEL; PARTICULATE MATTER; EMISSIONS; GASOLINE; URBAN; FORMULATION; POLLUTANTS; HIGHWAYS; SUPPORT;
D O I
10.1016/j.atmosenv.2018.11.016
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The near-roadway pollutant dispersion model RLINE was evaluated for prediction of nitrogen oxides (NOx) and black carbon (BC) concentrations. Model predictions were compared with continuous, yearlong measurements from two near-roadway sites in the San Francisco Bay Area. Heavy-duty diesel trucks were a significant source of NOx and BC at both sites. Characterization of temporal variations in heavy-duty truck activity on diurnal, weekly, and seasonal scales were included in this study; truck traffic and emissions are not well-correlated with passenger vehicle or total traffic volumes. For both pollutants, more than 90% of predicted 24-h average concentrations were within a factor of two of observations at both near-roadway monitoring sites. The model responds appropriately to seasonal variations in meteorology and day-of-week variations in emissions. RLINE model performance for NOx was better overall than for BC. Reducing uncertainties in emission factors would help to improve model performance for BC.
引用
收藏
页码:244 / 251
页数:8
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