Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold & Arid Regions Environmental & Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China.
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold & Arid Regions Environmental & Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China.
Environ Int. 2016 Jan;86:92-106. doi: 10.1016/j.envint.2015.11.003. Epub 2015 Nov 9.
Long-term air quality data with high temporal and spatial resolutions are needed to understand some important processes affecting the air quality and corresponding environmental and health effects. The annual and diurnal variations of each criteria pollutant including PM2.5 and PM10 (particulate matter with aerodynamic diameter less than 2.5 μm and 10 μm, respectively), CO (carbon monoxide), NO2 (nitrogen dioxide), SO2 (sulfur dioxide) and O3 (ozone) in 31 provincial capital cities between April 2014 and March 2015 were investigated by cluster analysis to evaluate current air pollution situations in China, and the cities were classified as severely, moderately, and slightly polluted cities according to the variations. The concentrations of air pollutants in winter months were significantly higher than those in other months with the exception of O3, and the cities with the highest CO and SO2 concentrations were located in northern China. The annual variation of PM2.5 concentrations in northern cities was bimodal with comparable peaks in October 2014 and January 2015, while that in southern China was unobvious with slightly high PM2.5 concentrations in winter months. The concentrations of particulate matter and trace gases from primary emissions (SO2 and CO) and NO2 were low in the afternoon (~16:00), while diurnal variation of O3 concentrations was opposite to that of other pollutants with the highest values in the afternoon. The most polluted cities were mainly located in North China Plain, while slightly polluted cities mostly focus on southern China and the cities with high altitude such as Lasa. This study provides a basis for the formulation of future urban air pollution control measures in China.
需要具有高时间和空间分辨率的长期空气质量数据,以了解影响空气质量和相应环境与健康影响的一些重要过程。采用聚类分析的方法研究了 2014 年 4 月至 2015 年 3 月期间 31 个省会城市的 PM2.5 和 PM10(空气动力学直径分别小于 2.5μm 和 10μm 的颗粒物)、CO(一氧化碳)、NO2(二氧化氮)、SO2(二氧化硫)和 O3(臭氧)等每个指标污染物的年际和日变化,根据变化将城市分为严重、中度和轻度污染城市。除了 O3 之外,冬季月份的空气污染物浓度明显高于其他月份,CO 和 SO2 浓度最高的城市位于中国北方。北方城市的 PM2.5 浓度年变化呈双峰型,2014 年 10 月和 2015 年 1 月的峰值相当,而中国南方的 PM2.5 浓度年变化不明显,冬季月份的浓度略高。一次排放的颗粒物和气态污染物(SO2 和 CO)和 NO2 的浓度在下午(约 16:00)较低,而 O3 浓度的日变化与其他污染物相反,下午浓度最高。污染最严重的城市主要位于华北平原,而污染较轻的城市主要集中在中国南方和拉萨等高海拔地区。本研究为中国未来城市空气污染控制措施的制定提供了依据。