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Measurement report: The influence of traffic and new particle formation on the size distribution of 1–800?nm particles in Helsinki – a street canyon and an urban background station comparison

机译:测量报告:交通和新粒子形成对赫尔辛基尺寸分布的影响,赫尔辛基的尺寸分布 - 街道峡谷和城市背景站比较

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Most of the anthropogenic air pollution sources are located in urban environments. The contribution of these sources to the population of atmospheric particles in the urban environment is poorly known. In this study, we investigated the aerosol particle number concentrations in a diameter range from 1 to 800?nm at a street canyon site and at a background station within 1?km from each other in Helsinki, Finland. We use these number size distribution data together with complementary trace gas data and develop a method to estimate the relative contributions of traffic and atmospheric new particle formation (NPF) to the concentrations of sub-3?nm particles. During the daytime, the particle concentrations were higher at the street canyon site than at the background station in all analyzed modes: sub-3?nm particles, nucleation mode (3–25?nm), Aitken mode (25–100?nm), and accumulation mode (100–800?nm). The population of sub-3?nm and nucleation mode particles was linked to local sources such as traffic, while the accumulation mode particles were more related to non-local sources. Aitken mode particles were dominated by local sources at the street canyon site, while at the background station they were mainly influenced by non-local sources. The results of this study support earlier research showing direct emissions of the sub-3?nm particles from traffic. However, by using our new method, we show that, during NPF events, traffic contribution to the total sub-3?nm particle concentration can be small and during daytime (6:00–20:00) in spring it does not dominate the sub-3?nm particle population at either of the researched sites. In the future, the contribution of traffic to particle number concentrations in different urban environments can be estimated with a similar approach, but determining the relationships between the gas and particle concentrations from observations needs to be conducted with longer data sets from different urban environments.
机译:大多数人为空气污染源都位于城市环境中。这些来源对城市环境中大气粒子群的贡献知名。在这项研究中,我们在街道峡谷网站和在芬兰赫尔辛基彼此的1千米之内,在街道峡谷网站和背景站中调查了气溶胶粒子数浓度。我们将这些数字大小分布数据与互补的痕量气体数据一起使用,并开发一种方法来估算交通和大气新粒子形成(NPF)的相对贡献给亚3?NM粒子的浓度。在白天,在街道峡谷部位的颗粒浓度高于在所有分析的模式下的背景站较高:Sub-3?NM粒子,成核模式(3-25?NM),Aitken模式(25-100?NM) ,累积模式(100-800?nm)。亚3?NM和成核模式颗粒的群体与局部源相连,累积模式颗粒与非局部来源更相关。 Aitken模式粒子由街道峡谷网站的当地来源主导,而在后台站在后台,它们主要受非局部来源的影响。本研究结果支持前面的研究表明,来自交通的亚3的直接排放。但是,通过使用我们的新方法,我们表明,在NPF事件期间,对总子3的流量贡献可以在春天中少且白天(6:00-20:00),但它不会占主导地位亚3?NM颗粒粒子在任何一个研究的网站。将来,可以用类似的方法估计不同城市环境中的粒子数浓度的贡献,但是使用来自不同城市环境的更长的数据集来确定来自观察的气体和颗粒浓度之间的关系。

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