摘要
为了研究城市不同交通方式通勤者颗粒物暴露水平、颗粒物浓度影响因素以及不同粒径粒子数量浓度分布,利用便携式Grimm11-A粉尘监测仪在2019年1月对高峰期和非高峰期4个时段的交通微环境颗粒物浓度及粒子粒径分布数据进行64次采样。结果表明,自行车通勤者细颗粒物(PM)暴露剂量最大(PM10、PM2.5和PM1.0分别为2285.6、1312.7、1035.5min·μg/m^3),其余依次是出租车、公交车,地铁暴露剂量最小;四种通勤方式中,PM10和PM2.5暴露浓度与空气质量监测数据之间具有强正相关性,其中,数量浓度与相对湿度的相关系数均大于0.82;粒子数浓度主要分布在0.25~0.7μm(>99%),粒径小于2.5μm粒子数累计贡献率达99.9%。研究结果有助于通勤者选择低暴露通勤路线。
In order to investigate urban commuters’exposure to particulate matter,influence factors on particulate matter concentration,and particles number concentration distribution of different size,a portable Grimm 11-A dust monitor was used to collect 64 samples of particulate matter concentration and particle size distribution in transportation micro-environment during four periods of peak and non-peak periods in January 2019.The results show that the PM exposure dose of bicycle commuters is the highest(PM10,PM2.5 and PM1.0 are 2285.56、1312.69 and1035.49 min·μg/m^3,respectively),followed by taxis,buses and minimum exposure dose in Metro.A strong positive correlation between the exposure concentration of PM10 and PM2.5 of four commuting modes and urban background concentration were provided by air quality monitoring station,the correlation coefficients between particles number concentration and relative humidity of four commuting modes are greater than 0.82;The particle size range from 0.25μm to 0.7μm contribute 99%of particle number concentration and the cumulative contribution rate of particle size less than 2.5μm is up to 99.9%.Our findings could serve to better choose alternative low-exposure network of commuting routes.
作者
李兵
郑金龙
邱兆文
王娃子
智慧楠
曹慧慧
LI Bing;ZHENG Jin-long;QIU Zhao-wen;WANG Wa-zi;ZHI Hui-nan;CAO Hui-hui(School of Automobile,Chang an University,Xi'an 710064,China)
出处
《科学技术与工程》
北大核心
2019年第32期371-376,共6页
Science Technology and Engineering
基金
陕西省自然科学基础研究计划(2017JM7007)
长安大学研究生科研创新实践项目资助
关键词
交通方式
颗粒物数量浓度
个人通勤暴露
相关性
粒径分布
transportation mode
particle number concentration
personal commuting exposure
correlation
particle size distribution
