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定量评估气象条件和排放变化对 2015-2022 年中国长三角地区 O 长期变化趋势的影响

Quantitative impacts of meteorology and emissions on the long-term trend of O in the Yangtze River Delta (YRD), China from 2015 to 2022.

机构信息

Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China.

出版信息

J Environ Sci (China). 2025 Mar;149:314-329. doi: 10.1016/j.jes.2024.01.038. Epub 2024 Feb 12.

Abstract

Extensive spatiotemporal analyses of long-trend surface ozone in the Yangtze River Delta (YRD) region and its meteorology-related and emission-related have not been systematically analyzed. In this study, by using 8-year-long (2015-2022) surface ozone observation data, we attempted to reveal the variation of multiple timescale components using the Kolmogorov-Zurbenko filter, and the effects of meteorology and emissions were quantitatively isolated using multiple linear regression with meteorological variables. The results showed that the short-term, seasonal, and long-term components accounted for daily maximum 8-hr average O (O) concentration, 46.4%, 45.9%, and 1.0%, respectively. The meteorological impacts account for an average of 71.8% of O, and the YRD's eastern and northern sections are meteorology-sensitive areas. Based on statistical analysis technology with empirical orthogonal function, the contribution of meteorology, local emission, and transport in the long-term component of O were 0.21%, 0.12%, and 0.6%, respectively. The spatiotemporal analysis indicated that a distinct decreasing spatial pattern could be observed from coastal cities towards the northwest, influenced by the monsoon and synoptic conditions. The central urban agglomeration north and south of the YRD was particularly susceptible to local pollution. Among the cities studied, Shanghai, Anqing, and Xuancheng, located at similar latitudes, were significantly impacted by atmospheric transmission-the contribution of Shanghai, the maximum accounting for 3.6%.

摘要

长三角地区(YRD)长时间趋势地面臭氧的广泛时空分析及其与气象和排放的关系尚未系统分析。在这项研究中,我们使用了 8 年(2015-2022)的地面臭氧观测数据,试图通过柯尔莫哥洛夫-祖尔贝肯滤波器揭示多个时间尺度成分的变化,并使用多元线性回归结合气象变量定量分离气象和排放的影响。结果表明,短期、季节性和长期成分分别占日最大 8 小时平均臭氧(O)浓度的 46.4%、45.9%和 1.0%。气象影响平均占 O 的 71.8%,YRD 的东部和北部地区是气象敏感区。基于经验正交函数的统计分析技术,O 的长期成分中气象、本地排放和传输的贡献分别为 0.21%、0.12%和 0.6%。时空分析表明,从沿海城市向西北方向可以观察到明显的递减空间格局,这受到季风和天气条件的影响。YRD 南北的中心城市群特别容易受到本地污染的影响。在所研究的城市中,上海、安庆和宣城位于相似的纬度,受大气传输的影响显著-上海的贡献最大,占 3.6%。

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