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基于聚类分析的长治市夏季VOCs来源及活性
引用本文:李如梅,闫雨龙,段小琳,王芳园,牛月圆,王成,徐扬,李颖慧,胡冬梅,樊占春,李焕峰,彭林.基于聚类分析的长治市夏季VOCs来源及活性[J].中国环境科学,2020,40(8):3249-3259.
作者姓名:李如梅  闫雨龙  段小琳  王芳园  牛月圆  王成  徐扬  李颖慧  胡冬梅  樊占春  李焕峰  彭林
作者单位:1. 华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206;2. 华北电力大学能源动力与机械工程学院, 北京 102206;3. 山西省生态环境监测中心, 山西 太原 030027
基金项目:国家重点研发计划项目(2019YFC0214200);国家自然科学基金资助项目(41673004,21976053);中央高校基本科研业务费资助项目(2019QN087)
摘    要:分析长治市夏季环境VOCs浓度及其反应活性(以OH·消耗速率计),基于聚类分析与正定矩阵因子分解法 (PMF)解析VOCs来源.结果表明:长治市总VOCs平均浓度为37.40 μg/m3,平均活性水平为5.07s-1,具有本地新鲜排放和反应后混合的特征.机动车排放、燃煤、液化石油气/天然气(LPG/ NG)使用、工艺过程和溶剂使用源对环境VOCs的贡献分别为29.7%、29.2%、23.5%、11.6%和6.1%;对具有新鲜排放特征VOCs的贡献分别为34.6%、38.4%、10.1%、8.5%和8.5%.长治市VOCs主要受本地机动车与燃煤源排放的影响,而LPG/ NG使用源与工艺过程源可通过区域传输影响本地环境VOCs.可见,有效控制本地机动车与燃煤源排放、加强市区周边LPG/NG使用与工艺过程源的联防联控,是降低长治市环境VOCs浓度与O3生成的有效途径.

关 键 词:挥发性有机物  夏季  源解析  聚类  化学反应活性  
收稿时间:2020-01-07

Source apportionment and chemical reactivity of VOCs based on clustering during summertime in Changzhi
LI Ru-mei,YAN Yu-long,DUAN Xiao-lin,WANG Fang-yuan,NIU Yue-yuan,WANG Cheng,XU Yang,LI Ying-hui,HU Dong-mei,FAN Zhan-chun,LI Huang-feng,PENG Lin.Source apportionment and chemical reactivity of VOCs based on clustering during summertime in Changzhi[J].China Environmental Science,2020,40(8):3249-3259.
Authors:LI Ru-mei  YAN Yu-long  DUAN Xiao-lin  WANG Fang-yuan  NIU Yue-yuan  WANG Cheng  XU Yang  LI Ying-hui  HU Dong-mei  FAN Zhan-chun  LI Huang-feng  PENG Lin
Institution:1. Key Laboratory of Resources and Environmental System Optimization, Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China;2. School for Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China;3. Shanxi Ecological Environment Monitoring Center, Taiyuan 030027, China
Abstract:To better understand sources and characteristics of volatile organic compounds (VOCs) pollution in Changzhi, a set of air samples were collected in summer 2017 to study the concentration and chemical reactivity (in the rate of OH radical loss) on ozone generation, and to identify anthropogenic sources of VOCs based on clustering analysis and positive matrix factorization model (PMF). Results revealed that the average concentration and chemical reactivity of total VOCs was 37.40μg/m3 and 5.07s-1, respectively, with the mixing characteristic of the local fresh emissions and aged air masses after oxidation reaction. Five major anthropogenic sources of VOCs with their contribution were identified by PMF: vehicles exhaust (29.7%), coal combustion (29.2%), liquefied petroleum gas/natural gas (LPG/NG) usage (23.5%), industrial processes (11.6%), and solvent usage (6.1%). For fresh emissions, the contribution shares became 34.6%, 38.4%, 10.1%, 8.5%, and 8.5%, respectively. The results suggested that VOCs in Changzhi mainly came from local vehicles exhaust and coal combustion, but LPG/NG usage and industrial processes in neighboring regions could also influence local VOCs via regional transportation processes. Thus, to effectively control the local VOCs emission, a joint prevention and control effort of LPG/NG usage and industrial processes in the neighboring urban area around Changzhi is needed in addition of regulating local vehicles and coal combustion.
Keywords:volatile organic compounds  summertime  source apportionment  clustering  chemical reactivity  
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