Colls J J, Micallef A
Division of Environmental Science, School of Biological Sciences, University of Nottingham, Loughborough, UK.
Sci Total Environ. 1999 Sep 1;235(1-3):221-33. doi: 10.1016/s0048-9697(99)00194-1.
Concentrations and vertical profiles of various fractions of airborne particulate matter (suspended particulate matter (SPM), PM10 and PM2.5) have been measured over the first three metres from ground in a street canyon. Measurements were carried out using automated near real-time apparatus called the Kinetic Sequential Sampling (KSS) system. KSS system is essentially an electronically-controlled lift carrying a real-time particle monitor for sampling air sequentially, at different heights within the breathing zone, which includes all heights within the surface layer of a street canyon at which people may breathe. Data is automatically logged at the different receptor levels, for the determination of the average vertical concentration profile of airborne particulate matter. For measuring the airborne particle concentration, a Grimm Dust Monitor 1.104/5 was used. The recorded data also allows for time series analysis of airborne particulate matter concentration at different heights. Time series data and hourly-average vertical concentration profiles in the boundary layer of the confines of a street are thought to be mainly determined by traffic emissions and traffic associated processes. Hence the measured data were compared with results of a street canyon emission-dispersion model in time and space. This Street Level Air Quality (SLAQ) model employs the plume-box technique and includes modules for simulating vehicle-generated effects such as thermally- and mechanically-generated turbulence and resuspension of road dust. Environmental processes, such as turbulence resulting from surface sensible heat and the formation of sulphate aerosol from sulphur dioxide exhaust emissions, are taken into account. The paper presents an outline description of the measuring technique and model used, and a comparison of the measured and modelled data.
在街道峡谷中,对距地面最初三米范围内空气中各种颗粒物(悬浮颗粒物(SPM)、PM10和PM2.5)的浓度及垂直分布进行了测量。测量使用了一种名为动力学顺序采样(KSS)系统的自动近实时设备。KSS系统本质上是一个电控升降机,搭载一个实时粒子监测器,用于在呼吸区内不同高度依次对空气进行采样,呼吸区包括街道峡谷表层内人们可能呼吸的所有高度。数据会在不同受体水平自动记录,以确定空气中颗粒物的平均垂直浓度分布。为测量空气中颗粒物浓度,使用了一台格林姆粉尘监测仪1.104/5。记录的数据还可用于对不同高度处空气中颗粒物浓度进行时间序列分析。街道范围内边界层的时间序列数据和每小时平均垂直浓度分布被认为主要由交通排放及与交通相关的过程决定。因此,将测量数据在时间和空间上与街道峡谷排放 - 扩散模型的结果进行了比较。这个街道层面空气质量(SLAQ)模型采用烟羽箱技术,包括用于模拟车辆产生的影响(如热致和机械致湍流以及道路扬尘再悬浮)的模块。还考虑了环境过程,如地表感热产生的湍流以及二氧化硫废气排放形成硫酸盐气溶胶的过程。本文介绍了所使用的测量技术和模型的概述,以及测量数据与模型数据的比较。