Hu Feng, Xie Pinhua, Xu Jin, Lv Yinsheng, Zhang Zhidong, Zheng Jiangyi, Tian Xin
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China; Key laboratory of Environmental Optical and Technology, Anhui Institute of optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China; Key laboratory of Environmental Optical and Technology, Anhui Institute of optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China.
J Environ Sci (China). 2025 Oct;156:408-420. doi: 10.1016/j.jes.2024.07.017. Epub 2024 Jul 22.
The Yangtze River Delta (YRD) region has witnessed a consistent decrease in NO, CO, and PM from 2016 to 2023. However, ozone has exhibited fluctuating patterns. Quantifying ozone contributions from emissions, both within and outside the YRD, is essential for understanding city-cluster-scale ozone pollution (CCSOP). To address these concerns, a comprehensive approach combining Kolmogorov-Zurbenko filtering, Empirical Orthogonal Function, Absolute Principal Component Score, and Multiple Linear Regression methods (KZ-EOF-APCs-MLR) was employed to quantify the impacts of meteorological factors, local and non-local emission contributions of ozone (LECO and NECO). Emission changes were identified as the predominant factor shaping annual fluctuations in ambient ozone. Notably, during the previous and middle stages of the COVID-19 pandemic (from 2017 to 2021), emissions reductions led to a marked decrease in YRD ozone levels (-7.01 µg/m), with a pronounced rebound post-pandemic (2022 to 2023) (+8.04 µg/m). Seasonally, the emission-induced ozone exhibited fluctuating upward trend during autumn and winter, suggesting a transition of ozone pollution towards colder seasons. Spatially, high LECO concentrated in the eastern YRD (EYRD) across spring, autumn, and winter, becoming prominent in the central YRD (CYRD) during summer. During CCSOP, the CYRD exhibited the highest LECO and exceedance frequency (20.82 µg/m and 45.27 %). LECO explained a large portion of ozone variability during CCSOP, particularly in the EYRD, while NECO showed less explanatory power but consistently high contributions (148.05 ± 15.52 µg/m). These findings offer valuable insights for a deeper understanding of the evolving patterns of ozone pollution and the issue of CCSOP in the YRD.
2016年至2023年期间,长江三角洲(YRD)地区的氮氧化物、一氧化碳和颗粒物含量持续下降。然而,臭氧呈现出波动模式。量化长三角地区内外排放对臭氧的贡献,对于理解城市群尺度的臭氧污染(CCSOP)至关重要。为了解决这些问题,采用了一种综合方法,结合柯尔莫哥洛夫-祖尔本科滤波、经验正交函数、绝对主成分得分和多元线性回归方法(KZ-EOF-APCs-MLR)来量化气象因素、臭氧的本地和非本地排放贡献(LECO和NECO)。排放变化被确定为影响环境臭氧年度波动的主要因素。值得注意的是,在新冠疫情前期和中期(2017年至2021年),排放减少导致长三角地区臭氧水平显著下降(-7.01µg/m),疫情后(2022年至2023年)出现明显反弹(+8.04µg/m)。季节性方面,排放引起的臭氧在秋冬季节呈现波动上升趋势,表明臭氧污染向较冷季节转变。空间上,高LECO集中在长三角东部(EYRD)的春、秋、冬三季,夏季在长三角中部(CYRD)更为突出。在CCSOP期间,CYRD的LECO最高,超标频率也最高(20.82µg/m和45.27%)。LECO解释了CCSOP期间臭氧变异性的很大一部分,特别是在EYRD,而NECO的解释力较小,但贡献始终很高(148.05±15.52µg/m)。这些发现为深入了解长三角地区臭氧污染的演变模式和CCSOP问题提供了有价值的见解。