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风况对街区机动车多维度污染暴露水平的影响研究

The Impact of Wind Conditions on the Multi-dimensional Pollution Exposure Levels of Motor Vehicles in Street Blocks

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【作者】 王兴渝; 冯海霞; 王纳; 郭猛;

【Author】 Wang Xingyu;Feng Haixia;Wang Na;Guo Meng;School of Transportation and Logistics Engineering, Shandong Jiaotong University;Shandong Intelligent Transportation Key Laboratory(Preparatory);

【通讯作者】 冯海霞;

【机构】 山东交通学院交通与物流工程学院; 山东省智慧交通重点实验室(筹);

【摘要】 随着机动车保有量持续增加,机动车尾气成为城市大气环境中污染物的主要来源。以济南市人民政府周边街区为例,探讨盛行风况(风向风速)对街区机动车多维度(点、线、面、体)污染暴露水平的影响,结果表明:在风况一定的情况下,不同位置的污染物暴露水平存在显著差异。对济南市近14年的盛行风向、风速进行了分析,发现当风速一定时,龙奥东路在不同风向的影响下CO的扩散差异最为显著,为98.21%;龙奥西路差异最小,为34.24%。当风向一定时,随着风速的增加,四条慢行路上的CO逐渐下降,龙奥西路CO下降最多,为74.27%;龙奥南路CO下降最少,为11.18%。

【Abstract】 With the continuous increase in motor vehicle population, vehicle exhaust has become the primary source of pollutants in urban atmospheric environments. Taking the area around the Jinan Municipal People’s Government as an example, this study investigates the impact of prevailing wind conditions(wind direction and speed)on multi-dimensional(point, line, area, volume)pollution exposure levels from vehicular emissions in urban blocks. The results indicate that under specific wind conditions, pollutant exposure levels show significant variations across different locations. Analysis of Jinan’s prevailing wind directions and speeds over the past 14 years reveals that Long’ao East Road exhibited the most pronounced variation in CO diffusion(98.21%)under constant wind speeds with changing wind directions, while Long’ao West Road showed the smallest variation(34.24%). Additionally, under consistent wind directions, CO concentrations on four slow-traffic roads gradually decreased with increasing wind speeds. The highest reduction occurred on Long’ao West Road(74.27%), contrasting with the minimal decrease observed on Long’ao South Road(11.18%). These findings highlight the critical role of local wind patterns in shaping urban air pollution dispersion and exposure risks.

【基金】 济南市高校院所自主培养创新团队项目(20233036,20233040);国家自然科学基金(52102412);山东省自然基金(ZR2022MG077)
  • 【文献出处】 环境科学与管理 ,Environmental Science and Management , 编辑部邮箱 ,2026年03期
  • 【分类号】X734.2
  • 【下载频次】13
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