海宁市VOCs污染特征、来源及其对臭氧生成的敏感性分析
Study of the characteristics and sources of VOCs and its sensitivity to ozone formation in Haining
徐庄浩 1冯晨 2邵一泓 2徐正宁 1谢光照 1曲芳琪 1张飞 1熊春 1金玲玲 3王志彬4
作者信息
- 1. 浙江大学环境与资源学院,浙江省有机污染过程与控制重点实验室,浙江大学环境与资源学院污染环境修复与生态健康教育部重点实验室,杭州 310058
- 2. 嘉兴市海宁生态环境监测站,嘉兴 314499
- 3. 浙江省生态环境监测中心,杭州 310012
- 4. 浙江大学环境与资源学院,浙江省有机污染过程与控制重点实验室,浙江大学环境与资源学院污染环境修复与生态健康教育部重点实验室,杭州 310058;浙江大学杭州国际科创中心,杭州 311200
- 折叠
摘要
基于2021年8-10月海宁市大气光化学污染加强观测实验的数据,本研究对挥发性有机物(VOCs)浓度水平和来源,以及O3污染的主控因子进行分析并设置不同减排情景研究前体物变化对O3生成的影响.结果表明:观测期间O3污染多发生于高温低湿和高体积分数的TVOCs条件下,烷烃和卤代烃为VOCs组分贡献最大的两个种类,芳香烃对臭氧生成潜势(OFP)的贡献最大.源解析的结果显示石化工业源对VOCs排放贡献最大(31.0%),而溶剂使用源和石化工业源对O3生成贡献较大(35.0%和27.8%),皮尔逊相关性分析表明生物源和涂料挥发源与温度相关性很高.对9月28日—10月2日的O3污染过程进行分析,发现芳香烃是影响O3光化学生成的最重要前体物,其主要来自溶剂使用源的排放.不同减排情景模拟结果表明,对VOCs和NOx协同减排将有效降低海宁市O3的生成,其中针对VOCs减排效果更明显.
Abstract
Based on the on-line measurement data in Haining City from August 1st to October 31st 2021,the VOCs concentration,the main sources and controlling factors of O3 pollution were analyzed.Different reduction scenarios were set to study the impact of precursor changes on O3 formation.During the observation period,O3 pollution mostly occurred during periods of high temperature,low humidity and high-volume mixing ratio of TVOCs.Alkanes and halides were the major contributors to VOCs concentration,while aromatics contributed the most to the ozone formation potential(OFP).Source apportionment revealed that the petrochemical industry was the largest source(31.0%).Solvent usage and the petrochemical industry contributed the most to the OFP(35.0%and 27.8%,respectively).Pearson correlation analysis suggested that biological sources and paint evaporation sources had a high correlation with temperature.The case study of the September 28th to October 2nd episode of O3 pollution indicated that aromatics was the most sensitive species.The results of different emission reduction scenarios indicated that simultaneously reducing VOCs and NOx emissions can effectively alleviate O3 pollution in Haining City,with VOCs reduction showing a more significant impact.
关键词
臭氧(O3)/挥发性有机物(VOCs)/源解析/基于观测的箱体模型(OBM)/经验动力学模拟方法(EKMA)Key words
ozone(O3)/volatile organic compounds(VOCs)/source apportionment/observation-based model(OBM)/empirical kinetic modeling Approach(EKMA)引用本文复制引用
出版年
2025
NETL
NSTL
万方数据