Municipal Research Institute of Environmental Protection, Beijing 100037, China; Key Laboratory of Beijing on VOC Pollution Control Technology and Application of Urban Atmosphere, Beijing 100037, China.
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; Key Laboratory of Beijing on VOC Pollution Control Technology and Application of Urban Atmosphere, Beijing 100037, China.
J Environ Sci (China). 2018 May;67:78-88. doi: 10.1016/j.jes.2017.08.003. Epub 2017 Aug 9.
In China, volatile organic compound (VOC) control directives have been continuously released and implemented for important sources and regions to tackle air pollution. The corresponding control requirements were based on VOC emission amounts (EA), but never considered the significant differentiation of VOC species in terms of atmospheric chemical reactivity. This will adversely influence the effect of VOC reduction on air quality improvement. Therefore, this study attempted to develop a comprehensive classification method for typical VOC sources in the Beijing-Tianjin-Hebei region (BTH), by combining the VOC emission amounts with the chemical reactivities of VOC species. Firstly, we obtained the VOC chemical profiles by measuring 5 key sources in the BTH region and referencing another 10 key sources, and estimated the ozone formation potential (OFP) per ton VOC emission for these sources by using the maximum incremental reactivity (MIR) index as the characteristic of source reactivity (SR). Then, we applied the data normalization method to respectively convert EA and SR to normalized EA (NEA) and normalized SR (NSR) for various sources in the BTH region. Finally, the control index (CI) was calculated, and these sources were further classified into four grades based on the normalized CI (NCI). The study results showed that in the BTH region, furniture coating, automobile coating, and road vehicles are characterized by high NCI and need to be given more attention; however, the petro-chemical industry, which was designated as an important control source by air quality managers, has a lower NCI.
在中国，挥发性有机化合物 (VOC) 控制指令不断发布并在重要源头和地区实施，以应对空气污染。相应的控制要求基于 VOC 排放量 (EA)，但从未考虑过 VOC 物种在大气化学反应性方面的显著差异。这将对 VOC 减排对空气质量改善的效果产生不利影响。因此，本研究试图通过结合 VOC 排放量和 VOC 物种的化学反应性，为京津冀地区的典型 VOC 源开发一种综合分类方法。首先，我们通过测量京津冀地区的 5 个关键源，并参考另外 10 个关键源，获得了 VOC 化学特征谱，并使用最大增量反应性 (MIR) 指数作为源反应性 (SR) 的特征，估算了这些源每吨 VOC 排放的臭氧形成潜力 (OFP)。然后，我们应用数据归一化方法，分别将 EA 和 SR 转换为京津冀地区各种源的归一化 EA (NEA) 和归一化 SR (NSR)。最后，计算了控制指数 (CI)，并根据归一化 CI (NCI) 将这些源进一步分为四级。研究结果表明，在京津冀地区，家具涂料、汽车涂料和道路车辆的 NCI 较高，需要给予更多关注；然而，石化行业作为空气质量管理者指定的重要控制源，其 NCI 较低。
