{"title":"[Pollution Characteristics and Source Apportionment of Volatile Organic Compounds in Typical Solvent-using Industrial Parks in Beijing].","authors":"Rui Liu, Zhen Yao, Xiao-Hui Hua, Xiu-Rui Guo, Hai-Lin Wang, Feng Qi","doi":"10.13227/j.hjkx.202310142","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>-3</sup> on average. The concentrations of TVOCs under the influence of southerly and northerly winds were (214.18 ± 202.37) μg·m<sup>-3</sup> and (197.56 ± 188.3) μg·m<sup>-3</sup>, respectively. Alkanes were the species with the highest average concentration and proportion, respectively (45.53 ± 41.43) μg·m<sup>-3</sup>. 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<sup>-3</sup> and (87.92 ± 75.03) μg·m<sup>-3</sup>, 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<sup>-3</sup> 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.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Huanjing Kexue/Environmental Science","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202310142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
Abstract
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.