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[天津应急响应期间挥发性有机化合物污染的特征和来源分析]

Lu Yao¹, Zhong-Wei Luo¹, Kun Hua¹

¹China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research, State Environment Protection Key Laboratory of Urban Particulate Air Pollution Prevention, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.

Huan jing ke xue= Huanjing kexue

|August 21, 2024

概括

在天津严重污染期间,挥发性有机化合物 (VOC) 增加,冬季显示的水平高于秋季. 汽车排放,天然气和溶剂使用是紧急响应期间的主要VOC来源.

科学领域:

环境科学环境科学
大气化学大气化学
空气污染造成的空气污染

背景情况:

严重污染事件的特点是高度的挥发性有机化合物 (VOC).
了解VOC的化学成分和来源对于有效的空气质量管理至关重要.

研究的目的:

调查天津重污染事件中挥发性有机化合物的特性和来源.
分析不同污染警告级别期间不同来源的VOC组成和贡献的变化.

主要方法:

利用天津11个重污染事件 (2019-2020) 的每小时在线VOC数据.
使用正矩阵分解 (PMF) 和条件二变概率函数 (CBPF) 进行源分配.
分析了不同污染警告期的VOC数据 (黄色,色,应急响应).

主要成果:

严重污染期间的平均VOC体积分数为35.7×10−9.
冬季污染事件显示,VOC体积分比秋季高,烯酸增加了48%,烯酸增加了4%.
在应急响应期间,机动车排放 (17.5%),天然气蒸发 (15.4%) 和溶剂使用 (15.2%) 是主要的VOC来源. 在黄色和色警告期间,观察到车辆排放和溶剂使用的贡献大幅减少.

结论:

挥发性有机化合物的组成和来源在严重污染期间以及在不同的警告级别中发生显著变化.
针对机动车排放,天然气蒸发和溶剂使用的控制措施对于在严重空气污染事件中减轻VOC至关重要.
季节性变化,特别是冬季较高的VOC,需要量身定制的污染控制策略.

关键词:

条件二变概率函数 (CBPF) 是一种条件二变概率函数.应急响应应急响应应急响应应急响应应急响应应急响应积极矩阵因子化 (PMF)源头分析源头分析挥发性有机化合物 (VOC) 是一种挥发性有机化合物.

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