| 台州市市区环境空气中PM2.5的多模型联用来源解析 |
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| 引用本文： | 何微娜,谢松青,陶志华,王俏丽,李伟.台州市市区环境空气中PM2.5的多模型联用来源解析[J].环境科学研究,2020,33(6):1384-1392. |
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| 作者姓名： | 何微娜 谢松青 陶志华 王俏丽 李伟 |
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| 作者单位： | 1.台州市环境监测中心站, 浙江 台州 318000 |
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| 基金项目： | 国家自然科学基金项目（No.51608475）；浙江省科技厅公益技术研究工业项目（No.2015C31011） |
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| 摘 要： | 为对台州市市区环境空气中PM2.5的主要来源进行全面分析，运用CMAQ(空气质量模型)模型中的ISAM源追踪算法，计算了台州市本地各类污染源及外来源对PM2.5的贡献，同时基于CMB模型的初步源解析结果，利用CMAQ模型解析二次前体物排放源的贡献，得到CMB-CMAQ联用模型的源解析结果，综合分析CMAQ模型和CMB-CMAQ联用模型解析结果最终获得台州市市区空气中PM2.5的贡献源数据.结果表明:①CMAQ模型和CMB-CMAQ联用模型解析结果均表明，台州市市区PM2.5本地源中首要贡献源为工业源，两个模型中工业源贡献率分别为20.13%和26.94%，其次为扬尘源(贡献率分别为16.98%、19.37%)和道路移动源(贡献率分别为16.44%、18.14%).②CMB-CMAQ联用模型解析结果中工业源、扬尘源和道路移动源的贡献率均高于CMAQ模型解析结果，而外来源和电力源的贡献率均低于CMAQ模型解析结果.③CMAQ模型和CMB-CMAQ联用模型综合分析分配结果表明，外来源、工业源、扬尘源、道路移动源是对区域中PM2.5贡献较大的4个污染源，贡献率分别为26.10%、22.38%、16.09%、15.07%.研究显示，台州市市区环境空气中PM2.5污染呈以工业源、扬尘源为主，道路移动源污染突出的复合型污染特征，加强这三类源的排放管理对于台州市市区PM2.5污染防治具有重要意义.
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| 关 键 词： | PM2.5 源解析 CMB模型 CMAQ模型 CMB-CMAQ联用模型 台州市 |
| 收稿时间： | 2018/9/18 0:00:00 |
| 修稿时间： | 2019/7/2 0:00:00 |
Source Apportionment of PM2.5 in Taizhou City Using Multiple Models |
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| HE Weina,XIE Songqing,TAO Zhihua,WANG Qiaoli,LI Wei.Source Apportionment of PM2.5 in Taizhou City Using Multiple Models[J].Research of Environmental Sciences,2020,33(6):1384-1392. |
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| Authors: | HE Weina XIE Songqing TAO Zhihua WANG Qiaoli LI Wei |
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| Affiliation: | 1.Taizhou Environmental Monitoring Center, Taizhou 318000, China2.Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310058, China3.Institute of Environmental Engineering, Zhejiang University, Hangzhou 310058, China4.Biomass Chemical Industry Ministry of Education Key Laboratory, Institute of Industrial Ecology and Environment, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | To investigate the characteristics and sources apportionment of PM2.5 in Taizhou City, the Integrated Source Apportionment Method (ISAM) source tracking algorithm of CMAQ mode was employed to evaluate the contribution of regional and external pollution source to PM2.5. The contribution of the sources of PM2.5 was also analyzed by CMB-CMAQ model based on the preliminary results of CMB model. The final results were obtained by combing the results of CMAQ model and CMB-CMAQ model. (1) The results of CMAQ model and CMB-CMAQ model showed that industry (CMAQ,20.13%; CMB-CMAQ,26.94%) was the most important source of PM2.5 among regional sources, and the other two main sources were dust (CMAQ,16.98%; CMB-CMAQ,19.37%) and transportation source (CMAQ,16.44%; CMB-CMAQ,18.14%). (2) Compared to the results of CMAQ model, the contribution of industry, transportation source and dust increased while the contribution of external sources and electricity decreased according to the results of CMB-CMAQ model. (3) The final results were obtained by combing the results of CMAQ model and CMB-CMAQ model, which showed that the dominant sources of PM2.5 were external sources (26.10%), industry (22.38%), raise dust (16.09%) and transportation sources (15.07%). The results showed that the sources of PM2.5 in Taizhou City were mainly from industry, raise dust and transportation, which should be specially controlled. |
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| Keywords: | PM2 5 source apportionment CMB model CMAQ model CMB-CMAQ model Taizhou City |
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