不同出行方式PM2.5个体暴露及其影响因素

李友平; 范忠雨; 李坤; 吴大磊

doi:10.7524/j.issn.0254-6108.2015.08.2015012610

不同出行方式PM2.5个体暴露及其影响因素

1.
西华师范大学环境科学与工程学院, 南充, 637009;
2.
广元市利州区环境保护局, 广元, 628000;
3.
广东省社会科学院环境经济与政策研究中心, 广州, 510610
基金项目:
四川省大学生创新训练计划项目(201310638042)

四川省教育厅项目(13ZB0011)

南充市科技局项目(13A0071)

化学合成与污染控制四川省重点实验室项目(CSPC2014-4-2)

四川省科技厅项目(2015JY0094).

Commuter exposure to PM2.5 and its influencing factors in different commuting modes

1.
College of Environmental Science and Engineering, China West Normal University, Nanchong, 637009, China;
2.
Lizhou Environmental Protection Agency, Guangyuan, 628000, China;
3.
Center for Environmental Economics and Policy Research, Guangdong Academy of Social Science, Guangzhou, 510610, China
Fund Project:

摘要: 于2014年4月在南充市城区选择一条固定线路,使用数字直读式颗粒物测定仪连续14 d对自行车、公交车、私家车、摩托车、出租车和步行等6种出行方式PM2.5个体暴露浓度进行监测;获取采样期间的气象数据和大气环境PM2.5浓度数据,以了解不同出行方式PM2.5个体暴露水平及其影响因素.结果表明,不同出行方式中PM2.5个体暴露浓度最高和最低的分别为私家车(51.2±29.2) μg·m-3和出租车(40.2±29.8) μg·m-3;在出行高峰期和工作日,PM2.5个体暴露浓度分别高于非出行高峰期和周末.计入个体暴露时间和呼吸率,最高和最低PM2.5个体暴露量分别为步行(20.9±17.9) μg和出租车(2.8±2.1) μg.应用相关性分析和线性回归分析得出,降雨和风速有利于PM2.5个体暴露浓度降低;大气环境PM2.5浓度对个体暴露量有正相关影响.
- PM_2.5 /
- 个体暴露 /
- 出行方式 /
- 微环境 /
- 南充市
Abstract: This study was carried out to measure commuter exposure to PM2.5 and investigate its influencing factors on a fixed route by different commuting modes (bicycle, bus, car, motor, taxi and walk) in April, 2014, in Nanchong. Real-time meteorological data and ambient PM2.5 concentrations were obtained during the same period. The highest and lowest PM2.5 exposure concentrations were (51.2±29.2) μg·m-3 and (40.2±29.8) μg·m-3 for car and taxi commuters, respectively; During the peak traffic period and working days, the exposure concentrations were higher than the non-peak and weekend, respectively. The maximum and minimum exposure doses were (20.9±17.9) μg and (2.8±2.1) μg for walk and taxi commuters. Correlation analysis showed that rainfall and wind speed were beneficial to reduing PM2.5 exposure concentrations. Linear regression analysis demonstrated that ambient PM2.5 concentrations correlated positorely with commuter exposure concentrations.
- PM_{2 5} /
- personal exposure /
- commuting modes /
- micro-environment /
- Nanchong City

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不同出行方式PM2.5个体暴露及其影响因素

Commuter exposure to PM2.5 and its influencing factors in different commuting modes

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不同出行方式PM2.5个体暴露及其影响因素

Commuter exposure to PM2.5 and its influencing factors in different commuting modes

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不同出行方式PM2.5个体暴露及其影响因素

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