Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China; Pudong New Area Environmental Monitoring Station, Shanghai, 200135, China.
Chemosphere. 2020 Jul;251:126598. doi: 10.1016/j.chemosphere.2020.126598. Epub 2020 Mar 30.
Here we present a long-term, hourly resolution dataset (from January 2014 to April 2015) of secondary inorganic aerosol (SIA) matter, organic matter (OM) and black carbon (BC) as PM chemical components in China. Seasonally differentiated weekly diurnal profiles of major particulate species were investigated in conjunction with potential source contribution function (PSCF) analysis. The average concentration of PM was 48.3 ± 35.1 μg m, in which OM was the major constituent (29.7 ± 13.9%), followed by sulfate (25.1 ± 8.1%), nitrate (18.5 ± 8.3%), ammonium (13.3 ± 3.8%), and other trace species (6.8 ± 4.0%). Interestingly, unlike other PM species, OM concentrations kept very similar level among different seasons, indicating on-road traffic is a stable source of PM. Besides, a persistently strong particulate OM pollution belt was found along the lower reaches of Yangtze River. Significant enhancement of SIA (mainly nitrate) was coincided with high PM mass loading. Source apportionment were conducted and found the overwhelming dominance of long-range transport of the pollutants from north China. Using a case study, we further integrate Weather Research and Forecasting (WRF) meteorological modeling and lidar observation to better understand the evolution process of a typical pollution episode. Our assessment of the extremely large datasets derived from Shanghai supersite demonstrated the online instrumentation as a robust and credible alternative to filter-based sampling techniques for long-term PM monitoring and characterization in heavily polluted areas.
在这里，我们呈现了一个长期的、每小时分辨率的数据集（2014 年 1 月至 2015 年 4 月），其中包含中国大气中二次无机气溶胶（SIA）物质、有机物（OM）和黑碳（BC）等 PM 化学组分。结合潜在源贡献函数（PSCF）分析，研究了主要颗粒物物种的季节性差异周内日变化特征。PM 的平均浓度为 48.3 ± 35.1 μg m，其中 OM 是主要成分（29.7 ± 13.9%），其次是硫酸盐（25.1 ± 8.1%）、硝酸盐（18.5 ± 8.3%）、铵盐（13.3 ± 3.8%）和其他痕量物种（6.8 ± 4.0%）。有趣的是，与其他 PM 物种不同，OM 浓度在不同季节保持非常相似的水平，表明道路交通是 PM 的稳定来源。此外，在长江下游发现了一条持续存在的强烈颗粒物 OM 污染带。SIA（主要是硝酸盐）的显著增强与高 PM 质量负荷同时发生。进行了源分配，发现污染物主要来自华北的远距离传输。通过一个案例研究，我们进一步整合了天气研究和预报（WRF）气象模型和激光雷达观测，以更好地理解一个典型污染事件的演变过程。我们对来自上海超级站点的极其庞大数据集的评估表明，在线仪器是一种可靠的替代方法，可以替代滤膜采样技术，用于在污染严重地区进行长期 PM 监测和特征描述。
