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基于气象条件指数的中国重点区域细颗粒物与臭氧复合污染气象影响评估

[Meteorological Impact Assessment of PM and O Complex Pollution in Key Regions of China Based on Meteorological Conditions Index].

作者信息

Yang Xin, Yang Yuan-Qin, Li Hong, Gao Jian, Niu Jun-Jie, Chu Wang-Hui, Liu Shi-Jie, Chen Yi-Zhen, He You-Jiang, Zhao Yu-Xi

机构信息

Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

Chinese Academy of Meteorological Sciences, Beijing 100081, China.

出版信息

Huan Jing Ke Xue. 2023 Dec 8;44(12):6433-6440. doi: 10.13227/j.hjkx.202212101.

Abstract

Meteorological conditions play a key role in the occurrence and evolution of atmospheric complex pollution. Considering the different pollution formation mechanisms of PM and O, statistical calculation and in-depth learning methods were used to construct the PM and O meteorological condition indexes based on long-term pollution meteorological observation data. A research method was developed to study the meteorological characteristics and impact contribution of atmospheric complex pollution by using the meteorological condition index, and quantitative analysis of the distribution and variation of pollution excluding the influence of regional meteorological differences was also conducted. The results showed that in the summer of 2021, the pollution meteorological conditions in the key regions in central and eastern China were generally worse in the north and better in the south(index:"2+26" cities>the border area of Jiangsu, Anhui, Shandong, and Henan>the Yangtze River Delta) and the worst in June and the best in July. The "double high" pollution began to appear when the PM meteorological condition index>30 and O meteorological condition index>100; meanwhile, the unfavorable meteorological conditions for O also promoted the increase in PM concentration, resulting in the frequency of "double high" increases with the increase in O meteorological condition index. Compared with that during the same period last year, (PM) of each region decreased by 3.9 μg·m, 3.3 μg·m, and 1.4 μg·m due to the contribution of the improvement in the pollution meteorological conditions, which is nearly 58.5% on average of the total decrease in PM concentration. However, the change in O pollution meteorological conditions was better in the north and worse in the south, and the overall deterioration in the Yangtze River Delta Region led to approximately 2.8 μg·m growth for the O concentration. The PM and O concentrations after excluding the impact of meteorological differences showed different distribution characteristics from the air quality monitoring, in which the high concentrations of PM were distributed along the Bohai Sea, the inter-provincial border, and the south of the region, whereas the high concentrations of O were concentrated along the Taihang Mountains, around Mount Tai, and in parts of the Yangtze River Delta. The daily concentration variations in a single city during a specific pollution control period could be used as a basis for evaluating the effectiveness of local supervision and control, which will provide a reference for the dynamic supervision and daily scheduling of local control management.

摘要

气象条件在大气复合污染的发生和演变过程中起着关键作用。考虑到细颗粒物(PM)和臭氧(O₃)不同的污染形成机制,基于长期污染气象观测数据,采用统计计算和深度学习方法构建了PM和O₃气象条件指数。开发了一种研究方法,利用气象条件指数研究大气复合污染的气象特征及其影响贡献,并对排除区域气象差异影响后的污染分布和变化进行了定量分析。结果表明,2021年夏季,中国中东部重点区域的污染气象条件总体上北差南好(指数:“2+26”城市>苏皖鲁豫交界地区>长江三角洲),6月最差,7月最好。当PM气象条件指数>30且O₃气象条件指数>100时,开始出现“双高”污染;同时,不利于O₃的气象条件也促使PM浓度升高,导致“双高”出现的频次随O₃气象条件指数的增加而增多。与去年同期相比,各区域由于污染气象条件改善的贡献,细颗粒物(PM₂.₅)浓度分别下降了3.9 μg·m⁻³、3.3 μg·m⁻³和1.4 μg·m⁻³,平均占PM₂.₅浓度总下降量的近58.5%。然而,O₃污染气象条件的变化北好南差,长江三角洲地区整体恶化导致O₃浓度上升约2.8 μg·m⁻³。排除气象差异影响后的PM和O₃浓度呈现出与空气质量监测不同的分布特征,其中PM高浓度分布在渤海沿岸、省界及区域南部,而O₃高浓度集中在太行山沿线、泰山周边及长江三角洲部分地区。特定污染管控期间单个城市的日浓度变化可作为评估当地监管成效的依据,这将为地方管控管理的动态监管和日常调度提供参考。

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