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基于观测的中国长三角地区南京市臭氧污染特征及敏感性分析。

Ozone pollution characteristics and sensitivity analysis using an observation-based model in Nanjing, Yangtze River Delta Region of China.

机构信息

Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Jiangsu Environmental Monitoring Center, Nanjing 210036, China.

出版信息

J Environ Sci (China). 2020 Jul;93:13-22. doi: 10.1016/j.jes.2020.02.027. Epub 2020 Mar 12.

Abstract

Ground-level ozone (O) has become a critical pollutant impeding air quality improvement in Yangtze River Delta region of China. In this study, we present O pollution characteristics based on one-year online measurements during 2016 at an urban site in Nanjing, Jiangsu Province. Then, the sensitivity of O to its precursors during 2 O pollution episodes in August was analyzed using a box model based on observation (OBM). The relative incremental reactivity (RIR) of hydrocarbons was larger than other precursors, suggesting that hydrocarbons played the dominant role in O formation. The RIR values for NO ranged from -0.41%/% to 0.19%/%. The O sensitivity was also analyzed based on relationship of simulated O production rates with reductions of VOC and NO derived from scenario analyses. Simulation results illustrate that O formation was between VOCs-limited and transition regime. Xylenes and light alkenes were found to be key species in O formation according to RIR values, and their sources were determined using the Positive Matrix Factorization (PMF) model. Paints and solvent use was the largest contributor to xylenes (54%), while petrochemical industry was the most important source to propene (82%). Discussions on VOCs and NO reduction schemes suggest that the 5% O control goal can be achieved by reducing VOCs by 20%. To obtain 10% O control goal, VOCs need to be reduced by 30% with VOCs/NO larger than 3:1.

摘要

地面臭氧(O)已成为阻碍中国长江三角洲地区空气质量改善的关键污染物。本研究基于 2016 年江苏省南京市一个城市站点的一年在线监测数据,介绍了 O 污染特征。然后,利用基于观测的箱模型(OBM)分析了 2 次 8 月 O 污染事件期间 O 对其前体物的敏感性。与其他前体物相比,烃类的相对增量反应性(RIR)较大,表明烃类在 O 形成中起主导作用。NO 的 RIR 值范围为-0.41%/%至 0.19%/%。还根据情景分析得出的 VOC 和 NO 减少量与模拟 O 生成速率的关系分析了 O 的敏感性。模拟结果表明,O 的形成处于 VOCs 限制和过渡状态之间。根据 RIR 值,发现二甲苯和轻烯烃是 O 形成的关键物种,并用正定矩阵因子分解(PMF)模型确定了它们的来源。油漆和溶剂使用是二甲苯(54%)的最大来源,而石化工业是丙烯(82%)的最重要来源。对 VOCs 和 NO 减排方案的讨论表明,通过减少 20%的 VOCs 可以实现 5%的 O 控制目标,而要达到 10%的 O 控制目标,需要将 VOCs 减少 30%,同时要求 VOCs/NO 大于 3:1。

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