College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China.
Chengdu Academy of Environmental Science, Chengdu 610015, PR China.
Sci Total Environ. 2020 Apr 20;714:136692. doi: 10.1016/j.scitotenv.2020.136692. Epub 2020 Jan 15.
In order to evaluate the volatile organic compounds (VOCs) pollution characteristics in Chengdu and to identify their sources, ambient air sample collection and measurement were conducted at 28 sampling sites covering all districts/counties of Chengdu from May 2016 to January 2017. Meanwhile, a county-level anthropogenic speciated VOCs emission inventory was established by "bottom-up" method for 2016. Then, a comparison was made between the VOCs emissions, spatial variations, and source structures derived from the measurement and emission inventory. Ambient measurements showed that the annual average mixing ratios of VOCs in Chengdu were 57.54 ppbv (12.36 to 456.04 ppbv), of which mainly dominated by alkanes (38.8%) and OVOCs (22.0%). The ambient VOCs in Chengdu have distinct spatiotemporal characteristics, with a high concentration in January at the middle-northern part of the city and a low concentration in September at the southwestern part. The spatial distribution of VOCs estimated by the emission inventory was in good agreement with ambient measurements. Comparison of individual VOCs emissions indicated that the emissions of non-methane hydrocarbon species agreed within ±100% between the two methods. Both positive matrix factorization (PMF) model results and emission inventory showed that vehicle emissions were the major contributor of anthropogenic VOCs in Chengdu (31% and 37%), followed by solvent utilization (26% and 27%) and industrial processes (23% and 30%). The large discrepancies were found between the relative contribution of combustion sources, and the PMF resolved more contributions (20%) than the emission inventory (6%). Overall, this study demonstrates that measurement results and emission inventory were in a good agreement. However, to improve the reliability of the emission inventory, we suggest significant revision on source profiles of oxygenated volatile organic compounds (OVOCs) and halocarbons, as well as more detailed investigation should be made in terms of energy consumption in household.
为了评估成都市挥发性有机化合物(VOCs)的污染特征并识别其来源,本研究于 2016 年 5 月至 2017 年 1 月在覆盖成都所有区/县的 28 个采样点进行了环境空气样本采集和测量。同时,采用“自上而下”的方法建立了县级人为特定 VOCs 排放清单。然后,对测量和排放清单得出的 VOCs 排放、空间变化和源结构进行了比较。环境测量结果表明,成都市 VOCs 的年平均混合比为 57.54 ppbv(12.36 至 456.04 ppbv),其中主要以烷烃(38.8%)和 OVOCs(22.0%)为主。成都市的环境 VOCs 具有明显的时空特征,1 月城市中北部浓度较高,9 月西南部浓度较低。排放清单估算的 VOCs 空间分布与环境测量结果吻合较好。个别 VOCs 排放量的比较表明,两种方法之间非甲烷烃类物种的排放量在±100%范围内一致。正定矩阵因子(PMF)模型结果和排放清单均表明,车辆排放是成都市人为 VOCs 的主要来源(31%和 37%),其次是溶剂利用(26%和 27%)和工业过程(23%和 30%)。燃烧源的相对贡献存在较大差异,PMF 解析的贡献(20%)比排放清单(6%)多。总体而言,本研究表明测量结果和排放清单具有较好的一致性。然而,为了提高排放清单的可靠性,我们建议对含氧挥发性有机化合物(OVOCs)和卤代烃的源谱进行重大修订,并在家庭能源消耗方面进行更详细的调查。