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[天津冬季道路颗粒物的粒径分布及来源解析]

[Size Distribution and Source Appointment of Road Particles During Winter in Tianjin].

作者信息

Zhang Guo-Tao, Yin Bao-Hui, Bai Wen-Yu, Guo Li-Yao, Wang Zhi-Yu, Zhang Nan, Zheng Zhen-Sen, Zhang Li-Wen, Yang Wen, Han Bin, Bai Zhi-Peng

机构信息

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

School of Public Health, Tianjin Medical University, Tianjin 300070, China.

出版信息

Huan Jing Ke Xue. 2022 Sep 8;43(9):4467-4474. doi: 10.13227/j.hjkx.202112109.

Abstract

The significant role of traffic emissions mixed from various sources in urban air pollution has been widely recognized. However, the corresponding contributions to the roadside particle distribution are poorly understood due to the mixed impacts of various sources. Particle number concentrations of different sizes at the roadside in Nankai District of Tianjin were continuously monitored using a portable aerosol particle spectrometer during the morning rush hour (07:30-09:20) from Nov. 9, 2018 to Jan. 6, 2019. Characteristic and influencing factors of particle size distributions were discussed combined with temperature and relative humidity data, while potential sources of particles at the roadside were identified based on size distribution analysis. The results showed that the average total particle number concentrations were 502 cm, and the concentrations of the accumulation mode and coarse mode were 500 cm and 2 cm, respectively. The distribution of number concentrations at the roadside was unimodal and primarily concentrated at 0.25-0.50 μm, with peak sizes at 0.28-0.30 μm. The same distribution trend of particle number concentration and difference in the concentration in the same segment size were observed at different periods. Vehicle activity level was the main influencing factor of road particulate matter concentration on different weekdays; the probability of the high value of road particulate matter concentration was reduced by a reasonable combination of the vehicle tail numbers. Temperature and relative humidity were both found to be positively correlated with the number concentration of particles. With the increase in temperature and relative humidity, the total and peak particle number concentration showed an overall upward trend. In addition, the peak particle size increased from 0.28-0.30 μm to 0.35-0.40 μm when relative humidity was higher than 80%. Three sources, including road dust, brake and tire wear, and the aging particles from vehicle exhaust, were identified using positive matrix factorization in this study. Road dust contributed 8.6% of the total number concentration, which mainly consisted of particles with sizes above 5.00 μm. Brake and tire wear contributed 2.8% of the total number concentration of particles with a size range of 0.80-4.00 μm. The aging particles from vehicle exhaust contributed the most (88.5%), with a peak at 0.25-0.65 μm. The sources of roadside particles were mainly related to vehicle activity, whereas temperature and relative humidity also affected the particle number size distribution.

摘要

来自各种源的交通排放物在城市空气污染中的重要作用已得到广泛认可。然而,由于各种源的混合影响,其对路边颗粒物分布的相应贡献却知之甚少。2018年11月9日至2019年1月6日早高峰时段(07:30 - 09:20),使用便携式气溶胶粒子光谱仪对天津市南开区路边不同粒径的粒子数浓度进行了连续监测。结合温度和相对湿度数据讨论了粒径分布的特征及影响因素,同时基于粒径分布分析确定了路边颗粒物的潜在来源。结果表明,平均总粒子数浓度为502个/cm³,积聚模态和粗模态浓度分别为500个/cm³和2个/cm³。路边粒子数浓度分布呈单峰型,主要集中在0.25 - 0.50μm,峰值粒径在0.28 - 0.30μm。不同时段观察到粒子数浓度具有相同的分布趋势以及相同粒径段浓度的差异。车辆活动水平是不同工作日道路颗粒物浓度的主要影响因素;通过合理组合车辆尾号可降低道路颗粒物浓度高值出现的概率。温度和相对湿度均与粒子数浓度呈正相关。随着温度和相对湿度的升高,总粒子数浓度和峰值粒子数浓度总体呈上升趋势。此外,当相对湿度高于80%时,峰值粒径从0.28 - 0.30μm增大至0.35 - 0.40μm。本研究采用正定矩阵因子分解法识别出道路扬尘、刹车和轮胎磨损以及机动车尾气老化颗粒三种来源。道路扬尘对总粒子数浓度的贡献率为8.6%,主要由粒径大于5.00μm的粒子组成。刹车和轮胎磨损对粒径范围为0.80 - 4.00μm的粒子总浓度贡献率为2.8%。机动车尾气老化颗粒贡献率最大(88.5%),峰值在0.25 - 0.65μm。路边颗粒物来源主要与车辆活动有关,而温度和相对湿度也会影响粒子数粒径分布。

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