[北京典型溶剂使用工业园区挥发性有机化合物的污染特征和来源分配]。

Q2 Environmental Science Huanjing Kexue/Environmental Science Pub Date : 2024-10-08 DOI:10.13227/j.hjkx.202310142
Rui Liu, Zhen Yao, Xiao-Hui Hua, Xiu-Rui Guo, Hai-Lin Wang, Feng Qi
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引用次数: 0

摘要

BCT-7800A PLUS 挥发性有机化合物在线监测系统用于测量北京典型溶剂使用工业园区的环境挥发性有机化合物(VOCs)。的测量。研究了 2023 年 1 月至 6 月期间挥发性有机化合物的污染特征、来源分配和臭氧形成潜力(OFP),并讨论了采暖期和非采暖期的对比分析结果。结果表明,2023 年 1 月至 6 月的挥发性有机化合物浓度为(104.21 ± 91.31)μg-m-3。μg-m-3。在偏南风和偏北风的影响下,TVOCs 的浓度分别为(214.18 ± 202.37)μg-m-3 和(1970 ± 202.37)μg-m-3。μg-m-3和(197.56 ± 188.3)μg-m-3。μg-m-3。烷烃是平均浓度和比例最高的种类,分别为(45.53 ± 41.43)μg-m-3和(197.56 ± 188.3)μg-m-3。μg-m-3。加热期的挥发性有机化合物浓度高于非加热期,其值分别为(111.57 ± 83.96)μg-m-3和(87.92 ± 75.03)μg-m-3。μg-m-3。丙烷和乙烷是加热期平均浓度最高的物质。与非采暖期相比,采暖期前十位的三个物种(丙烷、乙烷和正丁烷)的平均浓度均有所上升。的平均浓度分别增加了 51.94%、54.64% 和 26.32%。基于正矩阵因式分解(PMF)模型的源分配结果表明,VOCs 的主要来源是甲烷和丁烷。根据正矩阵因式分解(PMF)模型,监测期间公园内 VOCs 的主要来源为印刷排放源(4.95%)、油气蒸发源(9.52%)、燃料燃烧源(15.44%)、交通排放源(18.97%)、电子设备制造源(24.59%)、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。与非采暖期相比,采暖期工业涂装源、交通排放源和燃料燃烧源对 VOC 的贡献较大,VOC 浓度分别增加了 15.02%、16.53% 和 24.98%。监测期间,5-6 月 VOCs 的平均 OFP 为 198.51 μg-m-3 ,OVOCs、烯烃和芳香烃对 OFP 的贡献最大,分别为 47.41%、22.15% 和 18.41%。电子设备制造源是园区夏季 OFP 的最大贡献源,其贡献率为 30.11%,今后应进一步加强。
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[Pollution Characteristics and Source Apportionment of Volatile Organic Compounds in Typical Solvent-using Industrial Parks in Beijing].

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-3 on average. The concentrations of TVOCs under the influence of southerly and northerly winds were (214.18 ± 202.37) μg·m-3 and (197.56 ± 188.3) μg·m-3, respectively. Alkanes were the species with the highest average concentration and proportion, respectively (45.53 ± 41.43) μg·m-3. 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-3 and (87.92 ± 75.03) μg·m-3, 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-3 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.

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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
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15329
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