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Relationship and variations of aerosol number and PM10 mass concentrations in a highly polluted urban environment - New Delhi, India

机译:在高度污染的城市环境中气溶胶数量与PM10浓度的关系和变化-印度新德里

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Measurements of the aerosol number concentration and the PM 10 mass concentrations of urban background aerosols in different seasons were performed in New Delhi 2002, including the simultaneous measurements of NO2, SO2 and CO concentrations. The results indicate an interesting relationship between the aerosol number and the PM10 mass concentrations. The number concentration increases with the mass concentration up to 300 mug m(-3). However, after this point, the number concentration decreases even if the mass concentration increases. An explanation for this nonlinear behavior is proposed through a dynamic model involving the coagulation sink concept. The linear relationship between the mass and the number concentration in ambient air is valid if the mass concentration is relatively low. A high sink, however, means that the number concentration cannot be high resulting in a decline in the number vs. mass plot. Clear diurnal, weekly and seasonal variations in concentrations were observed. High number concentrations of aerosols were observed in the mornings (7-8 a.m.) and in the evenings (7-10 p.m.). The number concentration was highest in March and lowest in June and the mass concentration was highest in November and lowest in June. The number concentration was higher during weekdays, but the mass concentration was higher during weekends. The number concentration correlates with the NO2 concentration, which indicates that one major source of aerosol particles for the monitored site in New Delhi may be vehicular emission, but also domestic use of fossil fuels and biofuels cannot be neglected. (C) 2003 Elsevier Ltd. All rights reserved. [References: 28]
机译:2002年在新德里进行了不同季节的城市背景气溶胶的气溶胶数量浓度和PM 10质量浓度的测量,包括同时测量NO2,SO2和CO浓度。结果表明,气溶胶数量与PM10质量浓度之间存在有趣的关系。随着质量浓度增加到300马克杯m(-3),数字浓度增加。但是,此后,即使质量浓度增加,数浓度也降低。通过涉及凝固汇概念的动力学模型,提出了对此非线性行为的解释。如果质量浓度相对较低,则质量与环境空气中数字浓度之间的线性关系有效。但是,沉度高意味着数字浓度不能太高,导致数字与质量图的下降。观察到浓度的每日,每周和季节性明显变化。在早晨(上午7-8点)和晚上(下午7-10点)观察到大量的气溶胶。数量浓度在3月最高,6月最低,质量浓度在11月最高,6月最低。在工作日中,数字浓度更高,但是在周末,质量浓度更高。数量浓度与NO2浓度相关,这表明用于新德里监测地点的气溶胶颗粒的主要来源之一可能是车辆排放,但也不能忽略家用化石燃料和生物燃料。 (C)2003 Elsevier Ltd.保留所有权利。 [参考:28]

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