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Investigating near-road particle number concentrations along a busy urban corridor with varying built environment characteristics

机译:研究具有不同建筑环境特征的繁忙城市走廊沿线的近路颗粒物浓度

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This study aimed at capturing the determinants of near-road concentrations of ultrafine particles (UFP) using linear mixed-effects models, investigating the effects of meteorology, built environment, and traffic. In addition, the differences in the levels of UFP between both sides of the road were investigated. To reach these objectives, field measurements were conducted on 16 weekdays in the months of March and April 2015, along Papineau Avenue, a high-volume street in Montreal, Canada. Four sites were identified varying in land use, building height, and road characteristics. Air quality measurements were conducted at each location (on both sides of the road) for two consecutive hours, at four different times during the day and repeated four times, leading to a total of 16 visits per location. Traffic volume and composition was also recorded. On-site meteorological variables including wind speed, wind direction, temperature and relative humidity were collected using a portable weather station. Linear mixed-effects models with random intercept were developed for both dependent variables: the natural logarithm of the mean UFP concentration and the difference in UFP concentrations between two sides of the road. Lower temperatures and wind speeds were associated with increased UFP concentrations. Winds orthogonal to the road tended to increase UFP concentrations as well as the differences between both sides of the road. Finally, built environment variables such as the presence of open areas and buildings on both sides of the road, had a positive influence on the difference between UFP on the two sides. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究旨在使用线性混合效应模型来捕获道路附近超微粒子(UFP)浓度的决定因素,研究气象学,建筑环境和交通的影响。此外,还研究了道路两侧UFP水平的差异。为了实现这些目标,在2015年3月和4月的16个工作日内,沿着位于加拿大蒙特利尔的高容量街道Papineau Avenue进行了实地测量。根据土地用途,建筑物高度和道路特征,确定了四个地点。在每个位置(道路两侧)连续两个小时进行了空气质量测量,一天中的四个不同时间重复了四次,导致每个位置总共16次访问。还记录了流量和组成。使用便携式气象站收集包括风速,风向,温度和相对湿度在内的现场气象变量。针对两个因变量,开发了具有随机截距的线性混合效应模型:平均UFP浓度的自然对数以及道路两侧之间UFP浓度的差。较低的温度和风速与UFP浓度升高有关。与道路正交的风倾向于增加UFP浓度以及道路两侧之间的差异。最后,建筑环境变量(例如道路两侧是否存在开放区域和建筑物)对两侧UFP之间的差异具有积极影响。 (C)2016 Elsevier Ltd.保留所有权利。

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