Liu Rui, Yao Zhen, Hua Xiao-Hui, Guo Xiu-Rui, Wang Hai-Lin, Qi Feng
Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, China.
Huan Jing Ke Xue. 2024 Oct 8;45(10):5661-5670. doi: 10.13227/j.hjkx.202310142.
The BCT-7800A PLUS VOC online monitor system was employed to measure ambient volatile organic compounds (VOCs) in a typical solvent-using industrial park in Beijing. From January to June 2023, the pollution characteristics, source apportionment, and ozone formation potential(OFP)of VOCs were studied, and the results of a comparative analysis were also discussed between heating and non-heating periods. The results indicated that VOC concentrations from January to June 2023 were (104.21 ± 91.31) μg·m on average. The concentrations of TVOCs under the influence of southerly and northerly winds were (214.18 ± 202.37) μg·m and (197.56 ± 188.3) μg·m, respectively. Alkanes were the species with the highest average concentration and proportion, respectively (45.53 ± 41.43) μg·m. The VOC concentration during the heating period was higher than those during the non-heating period, with values of (111.57 ± 83.96) μg·m and (87.92 ± 75.03) μg·m, respectively. Propane and ethane were the species with the highest average concentration during the heating period. Compared with those in the non-heating period, the average concentrations of three species (propane, ethane, and n-butane) in the top ten species increased during the heating period, with average concentrations increasing by 51.94%, 54.64%, and 26.32%, respectively. The source apportionment results based on the positive matrix factorization (PMF) model indicated that the major sources of VOCs in the park during the monitoring period were printing emission sources (4.95%), oil and gas evaporation sources (9.52%), fuel combustion sources (15.44%), traffic emissions sources (18.97%), electronic equipment manufacturing (24.59%), and industrial painting sources (26.52%). Therefore, industrial painting sources, electronic equipment manufacturing sources, and traffic emissions sources were the emission sources that the park should focus on controlling. Compared with those during non-heating periods; industrial painting, traffic emission, and fuel combustion sources contributed more during the heating period, with VOC concentrations increasing by 15.02%, 16.53%, and 24.98%, respectively. The average OFP of VOCs from May to June during the monitoring period was 198.51 μg·m and OVOCs, olefins, and aromatic hydrocarbons contributed the most to OFP, which were 47.41%, 22.15%, and 18.41%, respectively. The electronic equipment manufacturing source was the largest contributor to the summer OFP of the park and its contribution rate was 30.11%, which should be strengthened in the future.
采用BCT - 7800A PLUS挥发性有机物在线监测系统,对北京某典型溶剂使用型工业园区的环境挥发性有机物(VOCs)进行监测。于2023年1月至6月,研究了VOCs的污染特征、来源解析及臭氧生成潜势(OFP),并探讨了供暖期与非供暖期的对比分析结果。结果表明,2023年1月至6月VOCs浓度平均为(104.21±91.31)μg·m 。南风和北风影响下总挥发性有机物(TVOCs)浓度分别为(214.18±202.37)μg·m和(197.56±188.3)μg·m。烷烃是平均浓度和占比最高的物种,分别为(45.53±41.43)μg·m。供暖期VOCs浓度高于非供暖期,分别为(111.57±83.96)μg·m和(87.92±75.03)μg·m。丙烷和乙烷是供暖期平均浓度最高的物种。与非供暖期相比,供暖期前十物种中三种物质(丙烷、乙烷和正丁烷)平均浓度增加,平均浓度分别增加51.94%、54.64%和26.32%。基于正定矩阵因子分解(PMF)模型的源解析结果表明,监测期内园区VOCs主要来源为印刷排放源(4.95%)、油气挥发源(9.52%)、燃料燃烧源(15.44%)、交通排放源(18.97%)、电子设备制造(24.59%)和工业涂装源(26.52%)。因此,工业涂装源、电子设备制造源和交通排放源是园区应重点控制的排放源。与非供暖期相比,供暖期工业涂装、交通排放和燃料燃烧源贡献更大,VOCs浓度分别增加15.02%、16.53%和24.98%。监测期内5月至6月VOCs平均OFP为198.51μg·m ,含氧挥发性有机物(OVOCs)、烯烃和芳烃对OFP贡献最大,分别为47.41%、22.15%和18.41%。电子设备制造源是园区夏季OFP最大贡献源,贡献率为30.11%,未来应加强管控。