Song Xiao-Han, Yan Li, Liu Wei, He Jin-Yu, Wang Ya-Chen, Huang Tong-Lin, Li Yuan-Yuan, Chen Min, Meng Jing-Jing, Hou Zhan-Fang
School of Geography and Environment, Liaocheng University, Liaocheng 252000, China.
Chinese Academy of Environment Planning, Beijing 100012, China.
Huan Jing Ke Xue. 2023 Apr 8;44(4):1841-1851. doi: 10.13227/j.hjkx.202205089.
PM and ozone co-pollution, which are harmful to not only human health but also the social economy, has become the pivotal issue in air pollution prevention and synergistic control, especially in Beijing-Tianjin-Hebei and its surrounding areas and "2+26" cities. It is necessary to analyze the correlation between PM and ozone concentration and explore the mechanism of PM and ozone co-pollution. In order to study the characteristics of PM and ozone co-pollution in Beijing-Tianjin-Hebei with its surrounding area, ArcGIS and SPSS software were used to analyze the correlation between air quality data and meteorological data of the "2+26" cities in Beijing-Tianjin-Hebei and its surrounding areas from 2015 to 2021. The results indicated:① PM pollution constantly decreased from 2015 to 2021, and the pollution was concentrated in the central and southern parts of the region; ozone pollution showed a trend of fluctuation and presented a pattern of "low in the southwest and high in the northeast" spatially. In terms of seasonal variation, PMconcentration was mainly in the order of winter>spring ≈ autumn>summer, and O-8h concentration was in the order of summer>spring>autumn>winter. ② In the research area, days with PM exceeding the standard continued to decline, whereas days with ozone exceeding the standard fluctuated, and days with co-pollution decreased significantly; there was a strong positive correlation between PM and ozone concentration in summer, with the highest correlation coefficient of 0.52, and a strong negative correlation in winter. ③ Comparing the meteorological conditions of typical cities during the ozone pollution period with that of the co-pollution period, the co-pollution occurred under the temperature range of 23.7-26.5℃, humidity of 48%-65%, and S-SE wind direction.
细颗粒物（PM）和臭氧的共同污染不仅对人类健康有害，而且对社会经济也有影响，已成为空气污染防治和协同控制中的关键问题，特别是在京津冀及其周边地区和“2+26”城市。分析PM与臭氧浓度之间的相关性并探究PM和臭氧共同污染的机制很有必要。为研究京津冀及其周边地区PM和臭氧共同污染的特征，利用ArcGIS和SPSS软件分析了2015年至2021年京津冀及其周边地区“2+26”城市空气质量数据与气象数据之间的相关性。结果表明：①2015年至2021年期间PM污染持续下降，且污染集中在该区域的中南部；臭氧污染呈波动趋势，在空间上呈现“西南低、东北高”的格局。在季节变化方面，PM浓度主要呈现冬季>春季≈秋季>夏季的顺序，而臭氧8小时滑动平均浓度呈现夏季>春季>秋季>冬季的顺序。②在研究区域，PM超标天数持续下降，而臭氧超标天数波动变化，共同污染天数显著减少；夏季PM与臭氧浓度之间存在较强的正相关，最高相关系数为0.52，冬季则存在较强的负相关。③将典型城市臭氧污染期间与共同污染期间的气象条件进行比较，共同污染发生在温度为23.7-26.5℃、湿度为48%-65%、风向为南-东南风的条件下。
