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Analysis And Evaluation Of Selected Pm_(10) Pollution Episodes In The Helsinki Metropolitan Area In 2002

机译:2002年赫尔辛基都会区某些Pm_(10)污染事件的分析与评价

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In this study, we developed two methods to distinguish the long-range transport (LRT) episodes from local pollution (LP) episodes. The first method is based on particle number concentrations ratio between accumulation mode (diameter > 90 nm) and Aitken mode (diameter 25-90 nm). The second method is based on a proxy variable (interpolated ion sum) for long-range transported PM_(2.5). The ion-sum is available from the measurements of sulphate, nitrate and ammonium at the nearest EMEP stations. We also utilised synoptic meteorological weather charts, locally measured meteorological data, and air mass back-trajectories to support the evaluation of these methods. We selected nine time periods (i.e. episodes) with daily average PM_(10)>50 μg m~(-3) in the Helsinki Metropolitan Area during year 2002. We characterized the episodes in terms of PM_(10) and PM_(2.5) concentrations and the fraction of fine particles in PM_(10) at an urban traffic and regional background air quality monitoring sites. Three of these episodes were clearly of local origin. They were characterized by a low average fraction of PM_(2.5) (<0.2) in PM_(10) at the urban traffic monitoring site, low ratio between PM_(10) concentrations at the regional background site and at the urban traffic site (<0.2), low average ion sums (1.5-2.5μg m~(-3)) and low accumulation to Aitken mode ratios (0.13-0.26). Four of the episodes had distinct LRT characteristics: a high fraction of fine particles in PM_(10) (0.5-0.6) at the urban traffic site, a high ratio between PM_(10) concentrations at the regional background site and at the urban traffic site (0.7-0.8), high interpolated values for the ion sum (6.6-11.9 μg m~(-3)), and high accumulation to Aitken mode ratios (0.75-0.85). During the remaining two episodes there was significant contribution from both local sources and LRT. A detailed analysis of meteorological variables and air mass back-trajectories gave support to these findings. These characteristics can be utilised in a simple procedure to distinguish between LRT and LP episodes. Further quantitative investigations to these characteristics provide an indication to the episode strength. The quantitative results presented in the current study are applicable to the Helsinki Metropolitan Area and similar cities. Nevertheless, developing these methods for other cities require analyses of the meteorological conditions, behavior of the PM concentrations, and air-mass back trajectories for that specific city.
机译:在这项研究中,我们开发了两种方法来区分远程运输(LRT)事件和局部污染(LP)事件。第一种方法基于累积模式(直径> 90 nm)和Aitken模式(直径25-90 nm)之间的粒子数浓度比。第二种方法基于用于远程传输的PM_(2.5)的代理变量(内插离子和)。可通过最近的EMEP站的硫酸盐,硝酸盐和铵盐测量获得离子总和。我们还利用天气气象图,本地测量的气象数据和空气质量反演轨迹来支持对这些方法的评估。我们选择了2002年在赫尔辛基都会区的9个时间段(即发作),每天的平均PM_(10)> 50μgm〜(-3)。我们根据PM_(10)和PM_(2.5)来描述发作在城市交通和区域背景空气质量监测点的PM_(10)中的浓度和细小颗粒的分数。这些事件中有三个显然是本地血统。它们的特点是在城市交通监控站点的PM_(10)中PM_(2.5)的平均比例较低(<0.2),在区域背景站点和城市交通站点的PM_(10)浓度之间的比例较低(< 0.2),低的平均离子总和(1.5-2.5μgm〜(-3))和低的累积与Aitken模式比(0.13-0.26)。其中的四个事件具有明显的轻铁特征:城市交通站点的PM_(10)(0.5-0.6)中高比例的细小颗粒物,区域背景站点与城市交通中PM_(10)浓度之间的高比例位置(0.7-0.8),离子总和的高内插值(6.6-11.9μgm〜(-3))和高积累的Aitken模式比(0.75-0.85)。在剩下的两个事件中,当地资源和轻快铁都做出了重大贡献。对气象变量和空气质量后退轨迹的详细分析为这些发现提供了支持。这些特征可用于简单的过程中,以区分LRT和LP发作。对这些特征的进一步定量研究为发作强度提供了指示。本研究中提出的定量结果适用于赫尔辛基都会区和类似城市。然而,为其他城市开发这些方法需要分析该特定城市的气象条件,PM浓度的行为以及空气质量反演轨迹。

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