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珠江三角洲区域大气二次有机气溶胶的数值模拟
引用本文:程艳丽,李湉湉,白郁华,李金龙,刘兆荣,王雪松.珠江三角洲区域大气二次有机气溶胶的数值模拟[J].环境科学,2009,30(12):3441-3447.
作者姓名:程艳丽  李湉湉  白郁华  李金龙  刘兆荣  王雪松
作者单位:1. 中国气象科学研究院,北京,100081;北京大学环境科学与工程学院,北京,100871
2. 中国疾病预防控制中心环境与健康相关产品安全所,北京,100021
3. 北京大学环境科学与工程学院,北京,100871
基金项目:国家重点基础研究发展规划(973计划),中国气象局行业专项 
摘    要:二次有机气溶胶是大气颗粒物污染的重要组分之一,确定大气中二次有机气溶胶污染状况及来源是深入了解大气颗粒物污染发生、演变规律及其影响因素的前提.基于珠江三角洲区域的污染源和气象资料,利用耦合了二次有机气溶胶模块的二维空气质量模式对区域尺度上的大气二次有机气溶胶污染状况和来源进行了模拟研究.结果表明,二次有机气溶胶生成具有明显的光化学反应特征,浓度高值出现在14:00左右;源排放较大的广州和东莞的部分地区及其下风向的中山、珠海和江门部分地区SOA浓度较高;几类主要污染源对SOA的贡献率分别为:生物源72.6%,流动源30.7%,点源12%,溶剂、油漆源12%,面源不足5%.

关 键 词:空气质量模式  二次有机气溶胶  贡献率  数值模拟
收稿时间:2008/11/19 0:00:00
修稿时间:2009/6/15 0:00:00

Numerical Simulation Study of SOA in Pearl River Delta Region
CHENG Yan-li,LI Tian-tian,BAI Yu-hu,LI Jin-long,LIU Zhao-rong and WANG Xue-song.Numerical Simulation Study of SOA in Pearl River Delta Region[J].Chinese Journal of Environmental Science,2009,30(12):3441-3447.
Authors:CHENG Yan-li  LI Tian-tian  BAI Yu-hu  LI Jin-long  LIU Zhao-rong and WANG Xue-song
Institution:CHENG Yan-li~(1,2),LI Tian-tian~3,BAI Yu-hua~2,LI Jin-long~2,LIU Zhao-rong~2,WANG Xue-song~2(1.Chinese Academy of Meteorological Sciences,Beijing 100081,China,2.College of Environmental Sciences and Engineering,Peking University,Beijing 100871,3.Institute of Environmental Health and Related Product Safety,China Center for Disease Control and Prevention,Beijing 100021,China)
Abstract:Secondary organic aerosols(SOA) is an important component of the atmospheric particle pollution, thus, determining the status and sources of SOA pollution is the premise of deeply understanding the occurrence, development law and the influence factors of the atmospheric particle pollution. Based on the pollution sources and meteorological data of Pearl River Delta region, the study used the two-dimensional model coupled with SOA module to stimulate the status and source of SOA pollution in regional scale. The results showe: the generation of SOA presents obvious characteristics of photochemical reaction, and the high concentration appears at about 14:00; SOA concentration is high in some areas of Guangzhou and Dongguan with large pollution source-emission, and it is also high in some areas of Zhongshan, Zhuhai and Jiangmen which are at downwind position of Guangzhou and Dongguan. Contribution ratios of several main pollution sources to SOA are: biogenic sources 72.6%, mobile sources 30.7%, point sources 12%, solvent and oil paint sources 12%, surface sources less than 5% respectively.
Keywords:air quality model  secondary organic aerosols(SOA)  contribution ratio  numerical simulation
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