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Comparison of predicted vehicular pollution concentration with air quality standards for different time periods

机译:在不同时间段内预测的车辆污染浓度与空气质量标准的比较

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摘要

Air pollution is caused by variety of sources such as industries, vehicles, cremation, bakeries, and open burning. These sources have variation in emission with different time scales. Industry and bakeries have variation in emission with day or week, rest of the sources like vehicles and domestic sector have variation with time in a day. In fact, vehicles have a large variation in emission with time period of the day. The average concentration of 24 h is much less than hourly concentration of peak time when there is heavy vehicular emissions. The hourly concentration of off-peak time or lean time is very low due to low emission for that period. The air quality standards of India are prescribed for 24-h average concentration with which the predicted average concentration from models is compared. However, the peak time concentration may be much higher than the standard. In the peak time, outdoor concentration is more and since a large proportion of the population is out the exposure is also very high and can cause severe health effect. In this paper, vehicular pollution modeling has been carried out using AERMOD with simulated meteorology by Weather Research and Forecasting model. NOx and PM concentrations were 3.6 and 1.45 times higher in peak time than off-peak and evening peak, respectively. Lean time has higher concentration for both NOx and PM than off-peak and evening peak. It shows the misleading concept of comparing average predicted concentration of 24 h with standards for vehicles.
机译:空气污染是由多种来源造成的,例如工业,车辆,火化,面包房和露天焚烧。这些源在不同的时间尺度上具有变化的发射。工业和面包店的排放量每天或每周都有变化,其他来源(如车辆和家庭部门)一天中的时间也会变化。实际上,车辆的排放随一天的时间段有很大的变化。 24h的平均浓度远低于车辆排放量大时的高峰时间每小时浓度。非高峰时间或稀薄时间的每小时浓度非常低,因为该时段的排放量很低。印度的空气质量标准规定了24小时平均浓度,并与模型中的预测平均浓度进行比较。但是,峰值时间浓度可能比标准浓度高得多。在高峰时间,室外集中度更高,并且由于大部分人外出,暴露量也很高,并且可能造成严重的健康影响。本文通过气象研究和预报模型,使用AERMOD和模拟气象学对车辆污染进行了建模。高峰时间的NOx和PM浓度分别比非高峰和夜间高峰高3.6倍和1.45倍。与非高峰时段和傍晚时段相比,NOx和PM的精益时间浓度更高。它显示了将24小时平均预测浓度与车辆标准进行比较的误导性概念。

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