[Characteristics and Source Analysis of VOCs Pollution During Emergency Response in Tianjin].

Q2 Environmental Science Huanjing Kexue/Environmental Science Pub Date : 2024-08-08 DOI:10.13227/j.hjkx.202308117
Lu Yao, Zhong-Wei Luo, Kun Hua, Ya-Fei Li, Yao Gu, Li-Lai Song, Shen-Yu Bi, Si-Han Yin, Ming-Qi Kou, Xiao-Hui Bi, Yu-Fen Zhang, Yin-Chang Feng
{"title":"[Characteristics and Source Analysis of VOCs Pollution During Emergency Response in Tianjin].","authors":"Lu Yao, Zhong-Wei Luo, Kun Hua, Ya-Fei Li, Yao Gu, Li-Lai Song, Shen-Yu Bi, Si-Han Yin, Ming-Qi Kou, Xiao-Hui Bi, Yu-Fen Zhang, Yin-Chang Feng","doi":"10.13227/j.hjkx.202308117","DOIUrl":null,"url":null,"abstract":"<p><p>To elucidate the characteristics of VOCs chemical components during heavy pollution episodes, hourly online VOCs data derived from 11 heavy pollution events in Tianjin from 2019 to 2020 were employed. The positive matrix factorization (PMF) and conditional bivariate probability function (CBPF) were employed to analyze the sources of VOCs during heavy pollution episodes. The results indicated that the average VOCs volume fraction during these episodes was recorded at 35.7×10<sup>-9</sup>. Furthermore, it was observed that during the winter emergency response period, there was a discernible increase in the volume fraction of VOCs when compared to that during the autumn season. Specifically, there was a notable upswing of 48% in the olefins category, whereas alkanes registered a 4% increase. Additionally, the VOCs component structure changed significantly during the heavy pollution episodes. During the orange warning period, the proportion of alkanes increased by 36%, and the proportion of acetylene decreased by 32%. During the yellow warning period, the proportion of alkanes increased by 14%, and the proportion of acetylene decreased by 5%. During the emergency response period, motor vehicle emission sources, natural gas evaporative sources, and solvent use sources were the main contributors of VOCs in environmental receptors, contributing 17.5%, 15.4%, and 15.2%, respectively. Compared with that during the period antecedent to the emergency response, the contribution of vehicle emission sources and diesel volatile sources to VOCs in environmental receptors decreased by 2.0% to 5.5% and 2.1% to 6.6%, respectively, and the contribution of solvent use sources decreased by 0.2% to 2.4% during the yellow warning period. During the orange warning period, the contribution of motor vehicle emission sources was reduced by 0.1% to 8.3%, and the contribution of solvent use sources was reduced by 0.5% to 6.2%.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","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.202308117","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

To elucidate the characteristics of VOCs chemical components during heavy pollution episodes, hourly online VOCs data derived from 11 heavy pollution events in Tianjin from 2019 to 2020 were employed. The positive matrix factorization (PMF) and conditional bivariate probability function (CBPF) were employed to analyze the sources of VOCs during heavy pollution episodes. The results indicated that the average VOCs volume fraction during these episodes was recorded at 35.7×10-9. Furthermore, it was observed that during the winter emergency response period, there was a discernible increase in the volume fraction of VOCs when compared to that during the autumn season. Specifically, there was a notable upswing of 48% in the olefins category, whereas alkanes registered a 4% increase. Additionally, the VOCs component structure changed significantly during the heavy pollution episodes. During the orange warning period, the proportion of alkanes increased by 36%, and the proportion of acetylene decreased by 32%. During the yellow warning period, the proportion of alkanes increased by 14%, and the proportion of acetylene decreased by 5%. During the emergency response period, motor vehicle emission sources, natural gas evaporative sources, and solvent use sources were the main contributors of VOCs in environmental receptors, contributing 17.5%, 15.4%, and 15.2%, respectively. Compared with that during the period antecedent to the emergency response, the contribution of vehicle emission sources and diesel volatile sources to VOCs in environmental receptors decreased by 2.0% to 5.5% and 2.1% to 6.6%, respectively, and the contribution of solvent use sources decreased by 0.2% to 2.4% during the yellow warning period. During the orange warning period, the contribution of motor vehicle emission sources was reduced by 0.1% to 8.3%, and the contribution of solvent use sources was reduced by 0.5% to 6.2%.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
[天津市应急响应期间 VOCs 污染特征及来源分析]。
为阐明重污染天气期间VOCs化学成分的特征,采用了天津市2019年至2020年11次重污染天气期间的VOCs小时在线数据。正矩阵因式分解(PMF)和条件双变量概率函数(CBPF)来分析重污染天气下 VOCs 的来源。结果表明,重污染天气期间 VOCs 的平均体积分数为 35.7×10-9。此外,与秋季相比,在冬季应急响应期间,VOCs 的体积分数明显增加。具体来说,烯烃类明显增加了 48%,而烷烃类只增加了 4%。此外,在重污染天气期间,挥发性有机化合物的成分结构也发生了显著变化。橙色预警期间,烷烃的比例上升了 36%,乙炔的比例下降了 32%。黄色预警期间,烷烃比例上升 14%,乙炔比例下降 5%。应急响应期间,机动车排放源、天然气蒸发源和溶剂使用源是环境受体中 VOCs 的主要来源,分别占 17.5%、15.4% 和 15.2%。与应急响应前相比,在黄色预警期间,汽车排放源和柴油挥发源对环境受体中 VOCs 的贡献率分别下降了 2.0%至 5.5%和 2.1%至 6.6%,溶剂使用源的贡献率下降了 0.2%至 2.4%。在橙色预警期间,机动车排放源的贡献率降低了 0.1%至 8.3%,溶剂使用源的贡献率降低了 0.5%至 6.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
期刊最新文献
[Adsorption and Desorption Behavior of PAEs Plasticizer on PVC and Rubber Particles After Natural Environment Aging]. [Advances in Research of the Effects and Mechanisms of Polyethylene Microplastics on Soil Nitrogen Transformation]. [An Analysis of the Industrial Water Use Evolution in China]. [Analysis and Optimization Suggestions on Allowance Allocation Methods of the Power Industry in the Carbon Market]. [Analysis of Antibiotic Resistance of Bioaerosols from Wastewater Treatment Process].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1