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Dispersion of pollutants and estimation of emissions in a street canyon in Rouen, France

机译:法国鲁昂市街道峡谷中污染物的扩散和排放估算

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摘要

A six-week data set with simultaneous measurements of gaseous pollutants (NO_x and CO) and particle matter (PM_(2.5) inside an urban street canyon and nearby urban background location in Rouen (France) is presented. The experimental results for working days and weekends show the effects on the pollutant dispersion. The background/street concentrations mean ratios are 0.32 for CO, 0.43 for NO_x and 0.67 for PM_(2.5). The OSPM model was used in two ways: (ⅰ) to model the pollutant concentrations in the street canyon (direct modeling) and (ⅱ) to predict the traffic emissions from the measured concentrations (inverse simulation). An estimation of the hourly emission factors is obtained for NO_x, CO and PM_(2.5) for working days and Sundays; a daily emission factor is also given. Mean emission factors per vehicle are 0.64 g NO_x/km veh, 7.5 g CO/km veh and 0.060 g PM_(2.5)/km veh for the working days.
机译:提出了一个六周的数据集,同时测量了法国鲁昂市一个城市街道峡谷内和附近城市背景位置内的气态污染物(NO_x和CO)和颗粒物(PM_(2.5)),工作日和工作日的实验结果周末显示了对污染物扩散的影响,背景/街道浓度的平均比为:CO 0.32,NO_x 0.43,PM_(2.5)0.67。OSPM模型有两种使用方式:(ⅰ)模拟污染物的浓度。街道峡谷(直接建模)和(ⅱ)根据测得的浓度预测交通排放量(逆模拟),得出工作日和周日的NO_x,CO和PM_(2.5)每小时排放因子的估算值; a还给出了每日排放因子,每个工作日的平均排放因子为0.64 g NO_x / km veh,7.5 g CO / km veh和0.060 g PM_(2.5)/ km veh。

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