State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China.
Digital Fujian Internet-of-things Laboratory of Environmental Monitoring, School of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China.
Sci Total Environ. 2021 Dec 1;798:149375. doi: 10.1016/j.scitotenv.2021.149375. Epub 2021 Jul 31.
In this study, real-time measurement of Volatile Organic Compounds (VOCs) was conducted at an urban site in Changzhou, a typical corridor city in the Yangtze River Delta (YRD) region in China, by Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS) during 2019 China International Import Expo (CIIE) episode. An improved method based on Air Quality Index (AQI) value is applied to identify polluted and clean periods. Diurnal pattern of VOC levels revealed elevated photochemical reactivity during polluted periods. Five VOC sources were identified by Positive Matrix Factorization (PMF) model, including secondary formation (22.71 ± 12.33%), biogenic (21.50% ± 11.76%), solvent usage (20.50 ± 10.07%), vehicle exhaust (18.32 ± 8.32%), and industrial process and fuel usage (16.96 ± 13.21%). The mean contribution of vehicular exhaust was 10.84% higher during the nighttime than the daytime under polluted days. The biogenic source contributed more during clean periods, while the secondary formation presented the opposite. Spatial analysis displayed that the VOC concentration was higher in the S and SSE. In terms of the regional transport, short-distance air masses from the northeast and the south within the YRD region led to high VOC levels and biogenic VOC derived from the ocean might affect the entire region. Stringent emission control policies enforced over the YRD for 2019 CIIE provided an excellent opportunity to determine the source-receptor response. As joint control area, the VOC level of Changzhou exhibited a substantial reduction and the VOC amounts emitted by solvent usage showed the biggest decrease (-58%). The findings of this study highlight the superiority of high time-resolved data in identifying the dynamic variation pattern (with the change of time and wind) of VOC levels and emission intensities.
在这项研究中,利用质子转移反应飞行时间质谱仪(PTR-ToF-MS),于 2019 年中国国际进口博览会(CIIE)期间,在长三角(YRD)地区典型走廊城市常州的一个城区现场,对挥发性有机化合物(VOC)进行了实时测量。应用了一种基于空气质量指数(AQI)值的改进方法来识别污染和清洁期。VOC 水平的日变化模式表明,在污染期间具有较高的光化学反应性。通过正定矩阵因子化(PMF)模型,确定了 5 种 VOC 源,包括二次形成(22.71±12.33%)、生物源(21.50%±11.76%)、溶剂使用(20.50±10.07%)、车辆尾气(18.32±8.32%)和工业过程及燃料使用(16.96±13.21%)。在污染天,夜间车辆尾气的平均贡献比白天高 10.84%。在清洁期,生物源的贡献更高,而二次形成则相反。空间分析显示,S 和 SSE 地区的 VOC 浓度较高。在区域传输方面,长三角地区东北部和南部的短距离气团导致 VOC 水平升高,而海洋来源的生物 VOC 可能会影响整个区域。长三角地区为 2019 年 CIIE 实施的严格排放控制政策为确定源-受体响应提供了绝佳机会。作为联合控制区,常州的 VOC 水平显著降低,溶剂使用的 VOC 排放量降幅最大(-58%)。本研究结果突出了高时间分辨率数据在识别 VOC 水平和排放强度的动态变化模式(随时间和风向的变化)方面的优势。