Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610065, China.
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China; Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, USA.
Sci Total Environ. 2018 Jan 15;612:462-471. doi: 10.1016/j.scitotenv.2017.08.272. Epub 2017 Sep 1.
Source contributions to fine airborne particulate matter with aerodynamic diameters <2.5μm (PM) during 2013 were determined for 25 Chinese provincial capitals and municipalities using a source-oriented version of the Community Multiscale Air Quality (CMAQ) model. Based on the hierarchical clustering analysis of the observed PM concentrations, the 25 cities were categorized into nine groups. Generally, annual PM concentrations were highest in the cities in the north (81-154μgm) and lowest in the cities close to seas in the south and east (27-57μgm). Seasonal PM observations in the cities were generally higher in winter than in the other seasons. Industrial or residential sources were predicted to be the largest contributor to PM for all the city groups, with annually fractional contributions of 25.0%-38.6% and 9.6%-27%, respectively. The annual contributions from power plants, agriculture NH, windblown dust, and secondary organic aerosol (SOA) for the city groups were 8.7%-12.7%, 9.5%-12%, 6.1%-12.5%, and 5.4%-15.5%, respectively. Meanwhile, the annual contributions from transportation, sea salt, and open burning were relatively low (<8%, <2%, and <6%, respectively). Secondary PM accounted for 47%-63% of total annual PM concentrations in the cities and contributed to as much as 70% of daily PM concentrations on PM pollution days (daily concentrations>75μgm). Industrial or residential sources were generally the largest contributor on PM pollution days for all the city groups in each season, except that open burning, SOA, and windblown dust could be more important on some days, particularly in spring. The results of this study would be helpful to develop measures to reduce annual PM concentrations and the number of PM pollution days for different regions of China.
利用面向源的大气多尺度空气质量模型(CMAQ)版本,确定了 2013 年中国 25 个省会城市和直辖市细颗粒物(PM)在 2.5μm 以下的空气动力学直径(PM)的来源贡献。根据观测到的 PM 浓度的层次聚类分析,将 25 个城市分为 9 组。通常,北方城市的年 PM 浓度最高(81-154μg/m3),而靠近海洋的南方和东部城市的浓度最低(27-57μg/m3)。城市的季节性 PM 观测通常在冬季高于其他季节。工业或住宅源被预测为所有城市组 PM 的最大贡献者,其年分数贡献分别为 25.0%-38.6%和 9.6%-27%。对于城市组,电厂、农业 NH3、扬尘和二次有机气溶胶(SOA)的年贡献分别为 8.7%-12.7%、9.5%-12%、6.1%-12.5%和 5.4%-15.5%。同时,交通、海盐和露天燃烧的年贡献相对较低(分别<8%、<2%和<6%)。二次 PM 占城市总年 PM 浓度的 47%-63%,在 PM 污染日(日浓度>75μg/m3)中,贡献高达每日 PM 浓度的 70%。除了某些日子,尤其是在春季,开放燃烧、SOA 和扬尘可能更重要外,工业或住宅源通常是所有城市组在每个季节 PM 污染日的最大贡献者。本研究结果将有助于为中国不同地区制定降低年 PM 浓度和 PM 污染日数的措施。