聊城市城区夏季VOCs污染特征及来源解析  被引量:11

Pollution Characteristics and Source Apportionment of VOCs in Urban Areas of Liaocheng in Summer

在线阅读下载全文

作  者:李万勇 黄浩瑜 王艳振 朱子博 王一秋 高艳珊 彭娜娜 伦小秀 黄亮[1,2] 冯如帆 菅月诚 王强 LI Wan-yong;HUANG Hao-yu;WANG Yan-zhen;ZHU Zi-bo;WANG Yi-qiu;GAO Yan-shan;PENG Na-na;LUN Xiao-xiu;HUANG Liang;FENG Ru-fan;JIAN Yue-cheng;WANG Qiang(Beijing Key Laboratory for Source Control Technology of Water Pollution,College of Environmental Science and Engineering,Beijing Forestry University,Beijing 100083,China;Engineering Research Center for Water Pollution Source Control&Eco-remediation,College of Environmental Science and Engineering,Beijing Forestry University,Beijing 100083,China;Centre for Liaocheng Intelligent Environmental Dispatch,Liaocheng 252000,China;Centre for Liaocheng Environmental Information and Monitoring,Liaocheng 252000,China)

机构地区:[1]北京林业大学环境科学与工程学院,水体污染源控制技术北京市重点实验室,北京100083 [2]北京林业大学环境科学与工程学院,污染水体源控制与生态修复技术北京市高等学校工程研究中心,北京100083 [3]聊城智慧环保调度中心,聊城252000 [4]聊城市环境信息与监控中心,聊城252000

出  处:《环境科学》2023年第12期6564-6575,共12页Environmental Science

基  金:大气重污染成因与治理攻关项目(DQGG202126);聊城市细颗粒物和臭氧污染协同防控综合解决方案研究项目(2021-HXFW-HJ-0024);国家自然科学基金项目(42077454)。

摘  要:基于聊城市2021年6月挥发性有机物(VOCs)和臭氧(O3)在线监测数据,系统分析了O3污染日和清洁日VOCs的浓度水平、组成特征、日变化特征和O3生成潜势(OFP),通过潜在源贡献因子法(PSCF)和浓度权重轨迹分析法(CWT)识别了VOCs的潜在源区,利用特征物种比值和正定矩阵因子分解(PMF)模型对VOCs来源进行了解析.结果表明,聊城市2021年6月O3污染日和清洁日ρ(VOCs)小时均值分别为(115.38±59.12)μg·m^(-3)和(88.10±33.04)μg·m^(-3),各类别VOCs浓度水平在污染日和清洁日的大小均表现为:含氧挥发性有机物(OVOCs)>烷烃>卤代烃>芳香烃>烯烃>炔烃>有机硫.污染日和清洁日浓度差值较大的VOCs物种均出现在二者VOCs浓度小时均值贡献前10物种中.总VOCs、烷烃、炔烃、芳香烃、卤代烃和有机硫浓度日变化趋势表现为日间低于夜间,OVOCs浓度日变化呈现出白天高,夜间低的特征.OFP在污染日为285.29μg·m^(-3),在清洁日为212.00μg·m^(-3),OVOCs、烯烃和芳香烃对O3生成贡献大.PSCF和CWT结果发现,聊城市VOCs潜在源区集中分布在东昌府区北部和东北部以及茌平区中部和西南部.特征物种比值结果表明,聊城市VOCs可能较多来源于燃煤、汽油挥发和机动车尾气;PMF模型解析结果显示工业排放源(30.57%)、机动车尾气及油气挥发源(19.44%)、燃烧源(17.23%)、空气老化及二次生成源(13.69%)、溶剂使用源(12.75%)和天然源(6.32%)为聊城市VOCs的主要来源.Based on the online monitoring data of volatile organic compounds(VOCs)and ozone(O3)in Liaocheng in June 2021,the concentration levels,compositional characteristics,daily variation characteristics,and ozone formation potential(OFP)of VOCs on polluted days and clean days were systematically analyzed.Potential source areas of VOCs were identified by the potential source contribution function(PSCF)and concentration-weighted trajectory(CWT).The sources of VOCs in Liaocheng were analyzed using the characteristic species ratio and positive matrix factorization(PMF).The results showed that the hourly mean values of VOCs concentrations on polluted days and clean days in Liaocheng in June 2021 were(115.38±59.12)μg·m^(-3) and(88.10±33.04)μg·m^(-3),respectively,and the concentration levels of VOCs in each category showed that oxygenated volatile organic compounds(OVOCs)>alkanes>halogenated hydrocarbons>aromatic hydrocarbons>alkenes>alkynes>organosulfur.VOCs species with large differences in concentrations between polluted and clean days were among the top ten species of the hourly mean VOCs concentrations.The daily trends of concentrations of total VOCs,alkanes,alkynes,aromatic hydrocarbons,halogenated hydrocarbons,and organosulfur showed that the daytime concentrations were lower than the nighttime concentrations,and the daily changes in OVOCs concentrations showed the characteristics of high in the daytime and low at nighttime.The OFP was 285.29μg·m^(-3) on polluted days and 212.00μg·m^(-3) on clean days,and OVOCs,alkenes,and aromatic hydrocarbons contributed significantly to ozone formation.The PSCF and CWT results found that the potential source areas of VOCs in Liaocheng were concentrated in the northern and northeastern part of Dongchangfu District and the central and southwestern part of Chiping District.The results of the characteristic species ratio indicated that the VOCs in Liaocheng might have been more from coal combustion,gasoline volatilization,and motor vehicle exhaust.The results of PMF showed tha

关 键 词:聊城市 挥发性有机物(VOCs) 污染特征 臭氧生成潜势(OFP) 来源解析 

分 类 号:X511[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象