大气与环境光学学报 ›› 2024, Vol. 19 ›› Issue (3): 357-370.doi: 10.3969/j.issn.1673-6141.2024.03.008

• 环境光学监测技术 • 上一篇    

乌鲁木齐市两种通勤方式的大气污染物个体暴露水平研究

庄丹 1,2, 陈学刚 1,2*, 董煜 1,2   

  1. 1 新疆师范大学地理科学与旅游学院, 新疆 乌鲁木齐 830054; 2 新疆维吾尔自治区干旱区湖泊环境与资源重点实验室, 新疆 乌鲁木齐 830054
  • 收稿日期:2022-11-28 修回日期:2023-03-02 出版日期:2024-05-28 发布日期:2024-06-11
  • 通讯作者: E-mail: caschxg@126.com E-mail:zd0608@foxmail.com
  • 作者简介:庄丹 (1995- ), 女, 河南驻马店人, 硕士研究生, 主要从事城市地理与规划方面的研究。 E-mail: zd0608@foxmail.com
  • 基金资助:
    新疆维吾尔自治区自然科学基金资助项目 (2022D01A212), 国家自然科学基金 (41861033), 新疆干旱区湖泊环境与资源实验室资助项 目 (XJNUSYS2019A15)

Personal exposure levels of air pollutants in two commuting modes in Urumqi City

ZHUANG Dan 1,2, CHEN Xuegang 1,2*, DONG Yu 1,2   

  1. 1 School of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China; 2 Xinjiang Key Laboratory of Lake Environment and Resources in Arid Zone, Urumqi 830054, China
  • Received:2022-11-28 Revised:2023-03-02 Online:2024-05-28 Published:2024-06-11

摘要: 在2022 年7 月对乌鲁木齐市公交车和步行两种通勤方式下PM2.5、O3、NO2大气污染物个体暴露浓度进行了移 动监测, 分析了这两种通勤方式污染物个体暴露浓度的时空变化及其影响因素。结果表明: (1) 在时间上,公交车 PM2.5早高峰 > 非高峰 > 晚高峰, 公交车和步行O3、NO2非高峰 > 晚高峰 > 早高峰; 早高峰公交车PM2.5 > 步行、步行 O3、NO2 > 公交车,晚高峰步行O3、NO2 > 公交, 非高峰公交NO2 > 步行,步行O3 > 公交车; 日际PM2.5公交车 > 步行, O3、NO2步行 > 公交车; 公交车、步行PM2.5、O3工作日 > 休息日。(2) 空间上, PM2.5步行 > 公交车,O3、NO2则反之; 鲤鱼 山南路个体暴露浓度高于其他路段, 十字路口个体暴露浓度较低但红绿灯前后较高。(3) 无论是公交还是步行, PM2.5、O3两种污染物与背景值都呈显著性正相关; 温度在两种通勤方式下都与PM2.5、O3、NO2显著性相关; 湿度与公交 车通勤方式下的NO2以及步行方式下的PM2.5、O3、NO2呈显著性相关; 风速与步行方式下的PM2.5、O3、NO2呈显著性相 关; 而风向与公交车通勤方式下的PM2.5、O3、NO2以及步行方式下的PM2.5、O3呈显著性相关。最后基于研究结果, 为减 少大气污染物暴露度对人体的危害程度, 提出了居民出行方式的建议。

关键词: 大气污染物, 个体暴露, 通勤方式, 影响因素

Abstract: In July 2022, mobile monitoring was conducted on the personal exposure concentration of PM2.5, O3 and NO2 air pollutants under two commuting modes of bus and walking in Urumqi, and the saptiotemporal changes and influencing factors of individual exposure concentration of pollutants under the two commuting modes were analyzed. The results show that: (1) In terms of temporal distribution, individual exposure concentration of PM2.5 decreases in the sequence of morning peak, off-peak, evening peak under bus mode; both individual exposure concentrations of O3 and NO2 show off-peak > evening peak > morning peak for both bus and walking modes. In morning peak, PM2.5 exposure concentration under bus mode is higher than that under walking mode, while the exposure concentrations of O3 and NO2 under walking mode are higher than those of under bus mode. In evening peak, the exposure concentrations of O3 and NO2 under walking mode are higher than those of under bus mode. In off-peak, the exposure concentration of NO2 under bus mode is higher that of under walking mode, walking O3 > bus. In terms of daily variation, the exposure concentrations of PM2.5 under bus mode is higher than that of under walk mode, while the exposure concentrations of O3 and NO2 under walk mode are higher than those of under bus model. And all the exposure concentrations of PM2.5, O3 in weekdays are higher than those in weekends for both bus and walking modes. (2) Spatially, PM2.5 concentration under foot mode is higher than that of under bus mode, while O3 and NO2 are opposite. In addition, the personal exposure concentration of pollutants in Liyushan South Road is relatively higher than that of in other road sections. Especially, the personal exposure concentration of pollutants is lower at the crossroads while comparatively higher before and after traffic lights. (3) There is a significantly positive correlation between the PM2.5 and O3 exposure concentrations and the background values for both bus and walking modes. Temperature is significantly correlated with the concentrations of PM2.5, O3, NO2 produced both in commuting modes of bus and walking. Humidity is significantly related to NO2 produced in commuting mode of buses and PM2.5, O3 and NO2 produced in commuting mode of walking. The wind speed is also significantly correlated to PM2.5, O3 and NO2 produced in commuting mode of walking, while there is a significant correlation between wind direction and PM2.5, O3, NO2 produced in commuting mode of bus and PM2.5 and O3 produced in walking mode. Finally, based on the research results in this work, , some suggestions are put forward on the residents' travel mode in order to reduce the harmful degree of air pollutant exposure to human body.

Key words: air pollutants, personal exposure, commuting mode, influencing factors

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