江淮地区城市O_(3)污染过程的非典型特征及其前体物来源分析  被引量:7

Atypical characteristics of urban O_(3) pollution process and the source analysis of precursor pollutants in Yangtze−huaihe Region

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作  者:赵旭辉 史天哲 马啸 王含月 朱余 ZHAO Xuhui;SHI Tianzhe;MA Xiao;WANG Hanyue;ZHU Yu(Anhui Eco−environmental Monitoring Centre,Hefei,230071,China;College of Environmental Science and Engineering,Tongji University,Shanghai,200092,China;School of Resources and Environmental Engineering,Hefei University of Technology,Hefei,230009,China)

机构地区:[1]安徽省生态环境监测中心,合肥230071 [2]同济大学环境科学与工程学院,上海200092 [3]合肥工业大学资源与环境工程学院,合肥230009

出  处:《环境化学》2022年第3期834-849,共16页Environmental Chemistry

基  金:国家重点研发计划(2018YFC0213804)资助.

摘  要:为了研究江淮地区典型城市的O_(3)污染来源,该文对一次典型O_(3)污染过程(2020年9月1—10日)开展了多参数的监测分析,综合多种方法分析了江淮区域的O_(3)和挥发性有机物(VOCs)污染特征及其来源.结果表明,江淮地区城市(合肥、宿州、阜阳、滁州和淮南)O_(3)浓度的日变化均呈现出非典型的“双峰”特征(日间和夜间均有污染峰值).污染期间VOCs的污染程度由高到低分别为合肥、淮南、滁州、宿州和阜阳;其中,机动车排放源为该区域城市VOCs污染贡献最大的来源,贡献率分别高达44.1%、36.8%、37.8%、38.7%和40.5%;其次是燃烧源(18.9%—21.3%)、溶剂使用源(12.4%—21.3%)、工业源(13.0%—15.3%)和天然源(除滁州为13.9%外,其余为8.0%左右).O_(3)生成潜势(OFP)分析表明,除OVOCs对淮南市OFP贡献较高外,其余城市中烯烃、芳香烃等组分对OFP贡献最高,OFP由高到低分别为合肥(284.9μg·m^(−3))、淮南(167.7μg·m^(−3))、滁州(123.8μg·m^(−3))、宿州(73.9μg·m^(−3))和阜阳(62.1μg·m^(−3)).O_(3)的污染主要以本地生成为主,其中滁州、淮南和合肥的O_(3)本地生成速率平均分别高达32μg·m^(−3)·h^(−1)、36μg·m^(−3)·h^(−1)和29μg·m^(−3)·h^(−1),比皖北城市(阜阳和宿州)高9—20μg·m^(−3)·h^(−1);O3传输过程主要表现为白天高浓度时段的对外传输和夜间的对内输入.A typical O_(3)pollution episode occurred during September 1 to 10 in 2020 in the Yangtze-Huaihe region,which was researched to reveal the source of O_(3).In this paper,the characteristics and sources of O_(3)and precursor pollutants(VOCs)were researched based on multi parameter monitoring data and analysis methods.The results showed that the daily variation feature of O_(3)concentration in Yangtze-Huaihe region(Hefei,Suzhou,Fuyang,Chuzhou and Huainan)presented an atypical"double peaks"structure.Meanwhile,the peak value both appeared in daytime and nighttime.During the pollution episode,the order of the VOCs concentration from high to low was Hefei,Huainan,Chuzhou,Suzhou,and Fuyang.Motor vehicle emission was the most important source of VOCs and it respectively accounted for 44.1%,36.8%,37.8%,38.7%and 40.5%of VOCs concentration in the five cities.In addition,the others emission sources included combustion source(18.9%—21.3%),solvent consumption source(12.4%—21.3%),industrial source(13.0%—15.3%)and natural source(13.9%for Chuzhou and about 8%for the other four cities).The ranked of O_(3)formation potential(OFP)value from high to low was Hefei(284.97μg·m^(−3)),Huainan(167.77μg·m^(−3)),Chuzhou(123.87μg·m^(−3)),Suzhou(73.97μg·m^(−3))and Fuyang(62.17μg·m^(−3)).The most important contributors for OFP were OVOCs in Huainan and the olefins,aromatic hydrocarbons in the other four cities.Local generation was main method for O_(3)pollution.O_(3)local generation rate was 32,36,29μg·m^(−3)·h^(−1)respectively for Chuzhou,Huainan and Hefei,which was obviously higher than it in the cities in the north of Anhui province with the value during 9μg·m^(−3)·h^(−1)to 20μg·m^(−3)·h^(−1).The transmission characteristics of O_(3)represented external transmission during high concentration period in the daytime and internal transmission at night.

关 键 词:O_(3) VOCs OFP 正定矩阵因子分析(PMF) 来源分析 

分 类 号:X515[环境科学与工程—环境工程]

 

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