[银川市大气臭氧敏感性分析及挥发性有机化合物源分配]。

Q2 Environmental Science Huanjing Kexue/Environmental Science Pub Date : 2024-08-08 DOI:10.13227/j.hjkx.202308052
Li-Rong Yang, Meng Xu, Xue-Zhe Xu, Chen-Bing Yan, Xue Yu
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引用次数: 0

摘要

基于 2022 年银川市臭氧浓度观测数据,分析了臭氧浓度的月变化特征。此外,根据银川市某城市点位 5~7 月气象要素、常规污染物、挥发性有机物(VOCs)浓度观测数据,分析了气象要素、常规污染物、挥发性有机物(VOCs)浓度的月变化特征。浓度的观测数据,比较了污染日与非污染日气象要素和前体物质浓度的差异。然后,利用0-D大气模拟框架(F0AM)和正矩阵因式分解(PMF)对O3敏感性和VOCs来源进行了讨论。和正矩阵因式分解(PMF)模型。结果表明:①2022年5-7月为O3污染高发期,O3-8h-90per浓度分别为156μg-m-3、170μg-m-3和174μg-m-3,超标率分别为9.7%、26.7%和29.0%。与非污染日相比,O3 污染日的气温、太阳辐射总量和各种前体物浓度的小时均值均有所上升,其中丙烷、异丁烷、乙烷、正丁烷和二氯甲烷的体积浓度分别显著上升了 33.1%、29.1%、25.0%、22.7% 和 21.3%。结果表明,污染物排放量的增加和不利的气象条件共同促成了 O3 的形成。③ 2022 年 5 月至 7 月,臭氧形成潜能值(OFP)排名前五位的 VOCs 物种分别是:全污染、无污染、有污染、有污染和无污染。值排名前五位的挥发性有机物种类相同。它们是乙醛、间/对二甲苯、乙烯、异戊二烯和甲苯,主要来自溶剂使用源、自然源和化工行业排放。当地的 O3 生成主要由 VOCs 控制,相对反应性增量(RIR)结果表明,在污染日和非污染日,O3 的产生对烯烃和芳香烃有很强的正敏感性,而对氮氧化物则呈负敏感性。丙酮、乙烯和异丁烷等活性物种对 O3 生成的相对贡献率较高,实施 VOCs 与 NOx 减排比例远大于 1 的减排方案可有效降低当地的 O3 浓度。银川市大气 VOCs 主要来源为机动车排放源(32.3%)、工艺源(20.7%)、燃烧源 (19.2%)、溶剂使用源(12.7%)、汽油挥发源(9.污染日机动车排放源贡献率比非污染日增加了 4.6%,说明机动车排放源是银川市夏季 VOCs 治理的重要对象。
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[Sensitivity Analysis of Atmospheric Ozone and Source Apportionment of Volatile Organic Compounds in Yinchuan City].

Based on the observation data of O3 concentration in Yinchuan in 2022, the monthly variation characteristics of O3 concentrations were analyzed. Further, based on the observation data of meteorological elements, conventional pollutants, and volatile organic compounds (VOCs) concentrations at an urban site in Yinchuan from May to July, the difference in meteorological elements and precursor concentrations between the polluted days and the non-polluted days were compared. Then, the O3 sensitivity and the VOCs sources were discussed using the Framework for 0-D Atmospheric Modeling (F0AM) and positive matrix factorization (PMF) model, respectively. The results showed that: ① The O3 pollution occurred from May to July in 2022, and the concentrations of O3-8h-90per were 156 μg·m-3, 170 μg·m-3, and 174 μg·m-3, respectively, with exceeding standard rates of 9.7%, 26.7%, and 29.0%, respectively. ② Compared with those on the non-polluted days, the hourly mean values of temperature, total solar radiation, and concentrations of various precursors on the O3-polluted days increased, including the volume concentrations of propane, isobutane, ethane, n-butane, and dichloromethane, which increased significantly by 33.1%, 29.1%, 25.0%, 22.7%, and 21.3%, respectively. The results showed that the combined increase in pollutant emissions and adverse meteorological conditions contributed to the formation of O3. ③ From May to July 2022, the top five VOCs species in terms of ozone formation potential (OFP) value on whole, non-polluted, and polluted days were the same. They were acetaldehyde, m/p-xylene, ethylene, isoprene, and toluene, mainly from solvent use sources, natural sources, and chemical industry emissions. ④ The local O3 production was mostly controlled by VOCs, and the relative incremental reactivity (RIR) results revealed that O3 production showed strong positive sensitivity to alkene and aromatic hydrocarbon but showed negative sensitivity to NOx on both polluted and non-polluted days. The relative contributions of active species such as acetone, ethylene, and isobutane to O3 production were high, and the implementation of an emission reduction scheme with the ratio of VOCs to NOx emission reduction much greater than 1 could effectively reduce the local O3 concentration. ⑤ The main sources of atmospheric VOCs in Yinchuan were motor vehicle emission sources (32.3%), process sources (20.7%), combustion sources (19.2%), solvent use sources (12.7%), gasoline volatile sources (9.1%), and natural sources (6%), and the contribution rate of motor vehicle emission sources on polluted days increased by 4.6% compared with that on non-polluted days, indicating that the motor vehicle emission source was an important object of summer VOCs control in Yinchuan.

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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
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0.00%
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15329
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