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基于VOCs来源解析的臭氧污染控制策略
摘要点击 766  全文点击 75  投稿时间:2025-01-06  修订日期:2025-04-01
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中文关键词  臭氧(O3)污染  挥发性有机物(VOCs)  正定矩阵因子分解(PMF)  基于观测的模型(OBM)  经验动力学(EKMA)曲线  减排情景模拟
英文关键词  ozone (O3) pollution  volatile organic compounds (VOCs)  positive matrix factorization (PMF)  observational-based model (OBM)  empirical kinetic modeling approach (EKMA) curve  emission reduction scenario
DOI    10.13227/j.hjkx.20260203
作者单位E-mail
孙鹏 江苏省环境监测中心, 南京 210019 sunpeng123ll@163.com 
徐韬 南京大学大气科学学院, 南京 210023  
钟声 江苏省环境监测中心, 南京 210019  
徐政 江苏省环境监测中心, 南京 210019  
郁建桥 江苏省环境监测中心, 南京 210019  
中文摘要
      我国多地臭氧(O3)污染处在挥发性有机物(VOCs)控制区,而针对不同污染源VOCs减排的情景模拟则是当下研究的薄弱点. 鉴于此,于2024年夏季在南京开展大气中116种VOCs及基于液相化学的甲醛(HCHO)观测,进一步结合正定矩阵因子分解(PMF)及基于观测的光化学模型(OBM)探索针对不同污染源减排的O3控制策略. 结果表明,南京市6月O3日最大8 h滑动质量浓度平均值[ρ(MDA8-O3)]为222 μg·m-3,超过空气质量二级标准,期间φ(TVOCs)平均值(含HCHO)为30.2×10-9,以含氧VOCs和烷烃为主,乙醛、甲醛和异戊二烯作为优势物种,贡献了总臭氧生成潜势(151 μg·m-3)的51.8%. VOCs污染主要来自机动车尾气源(33.9%)和工业源(26.4%). OBM模拟较好地再现了实测O3R=0.86),经验动力学(EKMA)曲线显示南京O3污染处在VOCs控制区,可通过适度减排VOCs(40%)或大幅削减NOx(70%)使O3达标. 基于OBM与PMF成分谱的减排情景模拟显示O3污染对VOCs的机动车尾气源与工业源较为敏感,二者分别单独下降90%均可显著降低O3并达标. 研究立足于实测污染物,通过模拟真实大气中的光化学过程,可为O3污染管控提供理论依据.
英文摘要
      The frequent O3 pollution in China occurs mainly in volatile organic compounds (VOCs) control areas. However, a simulation focusing on the influence of reduction from different VOCs sources is lacking. Thereby, we conducted online observations of 116 types of VOCs and HCHO based on liquid phase chemistry in the summer of 2024 in Nanjing. A positive matrix factorization (PMF) model was further combined with observational-based model (OBM) to explore O3 control policies for emission reduction from different pollution sources. As a result, the maximum 8h moving average of O3[ρ(MDA8-O3)] in Nanjing exceeded the national standard (222 μg·m-3), and the average volume mixing ratio of total VOCs (including HCHO) was 30.2×10-9, dominated by oxygenated VOCs and alkanes. Acetaldehyde, formaldehyde, and isoprene as the top three species contributed 51.8% of the total ozone formation potential (151 μg·m-3). Motor vehicle sources (33.9%) and industrial sources (26.4%) were the main sources of TVOCs. OBM simulation captured the measured O3R=0.86) well, and the O3 pollution in Nanjing was found to be in the VOCs control areas by the EKMA curve. The O3 could reach the standard through a moderate reduction of VOCs (40%) or substantial reduction of NOx (70%). The scenario based on the observations and PMF resolved spectrum showed that O3 pollution was more sensitive to motor vehicle sources and industrial sources, wherein reducing 90% of either source, respectively, could significantly reduce O3 and reach the standard. This study on a basis of the measured pollutants could simulate the photochemical process in the real atmosphere to provide a theoretical suggestion for O3 pollution control.

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