| 基于工业源成分谱的宿迁市VOCs来源解析及污染特征分析 |
| 摘要点击 337 全文点击 7 投稿时间：2024-07-01 修订日期：2024-08-30 |
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| 中文关键词 工业源成分谱 挥发性有机物（VOCs） 正定矩阵因子分解（PMF） ME-2限定源解析 臭氧（O3）污染 协同管控 |
| 英文关键词 industrial source spectrum volatile organic compounds （VOCs） positive matrix factorization （PMF） ME-2 constrained model ozone （O3） pollution collaborative control |
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| 中文摘要 |
| 为研究宿迁市挥发性有机物（VOCs）与臭氧（O3）的污染特征，厘清工业源的贡献，于2023年夏季开展了大气中116种VOCs的在线监测及典型工业污染源的离线采样，结合受体模型分析了宿迁市VOCs的变化特征、来源及O3超标天的污染特征. 结果表明，监测期间φ（TVOCs）为21.78×10-9，其中含氧VOCs与烷烃的贡献最高. 总臭氧生成潜势（OFP）达109.67 μg·m-3，对OFP贡献最高的物种依次为乙醛、甲苯和异戊二烯. 正定矩阵因子分解（PMF）模型与基于实测工业源成分谱的ME-2模型结果较为吻合，但PMF模型解析出的工业源对TVOCs的贡献及其含氧VOCs的贡献相对更高，表明工业源排放的新鲜VOCs进入大气后易老化增长. O3超标天辐射上升显著，工业源、交通源和生物源的贡献均有所增长，二次源升幅最大（51.7%），其贡献也从非污染天的30.4%上升到污染天的36.1%. 监测期间，O3和PM2.5的质量浓度均与φ（TVOCs）存在正相关，O3超标天PM2.5的质量浓度尤其是二次组分上升明显，其中二次有机气溶胶（SOA）升幅最大（42.9%）. 研究突出了VOCs的源排放增强在有利气象条件的驱动下对于O3和PM2.5的重要贡献及相关二次过程对大气污染的重要影响. |
| 英文摘要 |
| To characterize the volatile organic compounds （VOCs） and ozone （O3） pollution in Suqian and quantitatively evaluate the contribution from industrial emissions， online measurements of 116 types of VOCs were carried out in Suqian in the summer of 2023 together with offline samples collected in a typical industrial area. Combined with other measurements and receptor models， the mass variations of VOCs， source apportionment， and O3 pollution were investigated. The φ（TOVCs） during the monitoring period was 21.78×10-9. The oxygen-containing VOC and alkane showed the highest contribution to the TVOCs. The total ozone formation potential （OFP） reached 109.67 μg·m-3， with the highest contribution from acetaldehyde， toluene， and isoprene. Positive matrix factorization （PMF） agreed well with the ME-2 model based on measured industrial sources. However， the contribution of industrial sources to the TVOCs and the proportion of oxygen-containing VOCs resolved by PMF were relatively higher， indicating that fresh VOCs from the industrial sources were easy to age and increase while emitted into the atmosphere. During O3 pollution days， industrial， transportation， and biological sources increased. Secondary sources exhibited the highest increase （51.7%） with their contribution to TVOCs up to 36.1% from 30.4% during non-polluted days. During the study period， both O3 and PM2.5 showed strong correlations with TVOCs. The mass concentrations of PM2.5， especially the secondary components， increased significantly in O3-polluted days， with secondary organic aerosols increasing the most （42.9%）. The results highlight the significant contributions of elevated VOC emissions to O3 and PM2.5 pollution driven by favorable meteorology conditions and its important role in the formation of atmospheric secondary processes. |
