State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing 100084, China.
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing 100084, China.
Environ Pollut. 2019 Oct;253:377-383. doi: 10.1016/j.envpol.2019.07.011. Epub 2019 Jul 8.
Changzhou, an industrial city in the Yangtze River Delta, has been experiencing serious haze pollution, particularly in winter. However, studies pertaining to the haze in Changzhou are very limited, which makes it difficult to understand the characteristics and formation of winter haze in this area, and develop effective control measures. In this study, we carried out continuous online observation of particulate matter, chemical components, and meteorology in Changzhou in February 2017. Our results showed that haze pollution occurred frequently in Changzhou winter and exhibited two patterns: dry haze with low relative humidity (RH) and wet haze with high RH. Water-soluble inorganic ions (SO, NO, and NH) accounted for ∼52.2% of the PM mass, of which sulfate was dominant in wet haze periods while nitrate was dominant in other periods. With the deterioration of haze pollution, the proportion of nitrate in PM increased, while sulfate proportion increased under wet haze and decreased under dry haze. Dry haze and wet haze appeared under slow north wind and south wind, respectively, and strong north wind or sea breeze scavenged pollution. We found that formation of nitrate occurred rapidly in daytime with high concentrations of odd oxygen (O = O + NO), whereas formation of sulfate occurred rapidly during nighttime with high RH, indicating that photochemistry and heterogeneous reaction were the major formation mechanisms for nitrate and sulfate, respectively. Through the cluster analysis of 36-h backward trajectories, five sources of air masses from three directions were identified. High PM concentrations (84.1 μg m on average) usually occurred under the influence of two clusters (46%) from the northwest, indicating that regional transport from northern China aggravated the winter haze pollution in Changzhou. Emission reduction, particularly the mobile sources, and regional joint prevention and control can help to mitigate the winter haze in Changzhou.
中国长三角地区的工业城市常州,冬季时常遭遇严重的雾霾污染。然而,有关常州雾霾的研究非常有限,这使得我们难以了解该地区冬季雾霾的特征和形成机制,也难以制定有效的控制措施。在本研究中,我们于 2017 年 2 月在常州进行了颗粒物、化学组分和气象的连续在线观测。结果表明,常州冬季雾霾污染频繁发生,存在两种模式:相对湿度(RH)较低的干霾和 RH 较高的湿霾。水溶性无机离子(SO、NO 和 NH)占 PM 质量的约 52.2%,其中硫酸盐在湿霾期占主导地位,而硝酸盐在其他时期占主导地位。随着雾霾污染的恶化,硝酸盐在 PM 中的比例增加,而硫酸盐在湿霾时增加,在干霾时减少。干霾和湿霾分别出现在北风和南风缓慢时,而强北风或海风则清除了污染。我们发现,硝酸盐的形成在白天迅速发生,伴随着高浓度的奇数氧(O = O + NO),而硫酸盐的形成在夜间迅速发生,伴随着高 RH,表明光化学和非均相反应分别是硝酸盐和硫酸盐的主要形成机制。通过对 36 小时后向轨迹的聚类分析,确定了来自三个方向的五个气团源。高 PM 浓度(平均 84.1 μg m)通常出现在来自西北的两个气团(46%)的影响下,表明来自中国北方的区域传输加剧了常州冬季的雾霾污染。减排,特别是移动源减排,以及区域联防联控,可以帮助缓解常州冬季的雾霾。