Traffic emission factors of ultrafine particles: effects from ambient air.

Journal of Environmental Monitoring Pub Date : 2012-09-01 Epub Date: 2012-08-03 DOI:10.1039/c2em30235g
Sara Janhäll, Peter Molnar, Mattias Hallquist
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引用次数: 16

Abstract

Ultrafine particles have a significant detrimental effect on both human health and climate. In order to abate this problem, it is necessary to identify the sources of ultrafine particles. A parameterisation method is presented for estimating the levels of traffic-emitted ultrafine particles in terms of variables describing the ambient conditions. The method is versatile and could easily be applied to similar datasets in other environments. The data used were collected during a four-week period in February 2005, in Gothenburg, as part of the Göte-2005 campaign. The specific variables tested were temperature (T), relative humidity (RH), carbon monoxide concentration (CO), and the concentration of particles up to 10 μm diameter (PM(10)); all indicators are of importance for aerosol processes such as coagulation and gas-particle partitioning. These variables were selected because of their direct effect on aerosol processes (T and RH) or as proxies for aerosol surface area (CO and PM(10)) and because of their availability in local monitoring programmes, increasing the usability of the parameterization. Emission factors are presented for 10-100 nm particles (ultrafine particles; EF(ufp)), for 10-40 nm particles (EF(10-40)), and for 40-100 nm particles (EF(40-100)). For EF(40-100) no effect of ambient conditions was found. The emission factor equations are calculated based on an emission factor for NO(x) of 1 g km(-1), thus the particle emission factors are easily expressed in units of particles per gram of NO(x) emitted. For 10-100 nm particles the emission factor is EF(ufp) = 1.8 × 10(15) × (1 - 0.095 × CO - 3.2 × 10(-3) × T) particles km(-1). Alternative equations for the EFs in terms of T and PM(10) concentration are also presented.

超细颗粒的交通排放因子:来自环境空气的影响。
超细颗粒物对人类健康和气候都有重大危害。为了缓解这一问题,有必要确定超细颗粒的来源。提出了一种参数化方法,用于根据描述环境条件的变量估计交通排放的超细颗粒的水平。该方法是通用的,可以很容易地应用于其他环境中的类似数据集。所使用的数据是作为Göte-2005运动的一部分,于2005年2月在哥德堡为期四周的时间内收集的。测试的具体变量为温度(T)、相对湿度(RH)、一氧化碳浓度(CO)和直径10 μm以下颗粒物浓度(PM(10));所有的指标都是重要的气溶胶过程,如凝聚和气体-颗粒分配。选择这些变量是因为它们对气溶胶过程(T和RH)的直接影响或作为气溶胶表面积(CO和PM(10))的代用物,还因为它们在当地监测计划中可用,从而增加了参数化的可用性。给出了10 ~ 100 nm粒子(超细粒子;EF(ufp)),用于10-40 nm颗粒(EF(10-40))和40-100 nm颗粒(EF(40-100))。对于EF(40-100),环境条件没有影响。排放因子方程是根据NO(x)的排放因子1 g km(-1)计算的,因此粒子排放因子很容易以每克排放的NO(x)的粒子单位表示。对于10-100 nm粒子,发射因子为EF(ufp) = 1.8 × 10(15) × (1 - 0.095 × CO - 3.2 × 10(-3) × T)粒子km(-1)。还提出了以T和PM(10)浓度表示的EFs的替代方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Environmental Monitoring
Journal of Environmental Monitoring 环境科学-分析化学
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审稿时长
2.3 months
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