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Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms

文献类型：期刊论文

作者Liu, Haitao; Tian, Chongguo; Zong, Zheng; Wang, Xiaoping; Li, Jun; Zhang, Gan
刊名ATMOSPHERIC ENVIRONMENT
出版日期2019-01-15
卷号197页码:159-165
关键词Source apportionment Receptor model Non-negative matrix factorization Model development Model assessment Radiocarbon measurement
ISSN号1352-2310
DOI10.1016/j.atmosenv.2018.10.037
产权排序[Liu, Haitao] Harbin Engn Univ, Sch Econ & Management, Harbin 150007, Heilongjiang, Peoples R China ; [Tian, Chongguo ; Zong, Zheng] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Peoples R China ; [Liu, Haitao] Heilongjiang Univ Sci & Technol, Grad Sch, Harbin 150022, Heilongjiang, Peoples R China ; [Zong, Zheng ; Li, Jun ; Zhang, Gan] Chinese Acad Sci, Guangzhou Inst Geochem, Kehua St 511, Guangzhou 510640, Guangdong, Peoples R China ; [Wang, Xiaoping] Ludong Univ, Yantai 264025, Peoples R China
文献子类Article
英文摘要This study developed a receptor model, comprising four non-negative matrix factorization algorithms: the multiplicative update method; the optimal gradient method; the highly efficient, monotonic, fixed-point method; and the conjugate gradient method. The feasibility and performance of the developed model for emission source apportionment were assessed, using both a synthetic dataset, and an ambient PM2.5 dataset. The results from the US EPA's positive matrix factorization (PMF) 5.0 model were used for the assessment. Modeled results for the synthetic data showed that the range of factor contributions to most matrix elements solved by the four algorithms covered actual values. Modeled results, using the ambient dataset as the input, showed that the four algorithms in the developed model, and the PMF model, identified the same eight emission sources, and apportioned similar source contributions to PM2.5. Comparisons between the modeled organic carbon, and the elemental carbon source apportionments and radiocarbon measurements, suggested that combined application of multiple algorithms could satisfactorily apportion emission source contributions for one, or a few, specified samples among a receptor dataset, thus confirming the excellent source apportionment ability of the proposed model.
WOS关键词PM2.5 CARBONACEOUS AEROSOLS ; PARTICULATE MATTER ; BACKGROUND SITE ; RADIOCARBON
WOS研究方向Environmental Sciences ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000451492400015
资助机构Key Laboratory of Coastal Environmental Processes and Ecological Remediation of the Chinese Academy of Sciences [2016KFJJ01] ; Natural Scientific Foundation of China (NSFC) [41471413, 41473101]
源URL[http://ir.yic.ac.cn/handle/133337/24623]  
专题烟台海岸带研究所_近岸生态与环境实验室
烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位1.Heilongjiang Univ Sci & Technol, Grad Sch, Harbin 150022, Heilongjiang, Peoples R China;
2.Ludong Univ, Yantai 264025, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Peoples R China;
4.Harbin Engn Univ, Sch Econ & Management, Harbin 150007, Heilongjiang, Peoples R China;
5.Chinese Acad Sci, Guangzhou Inst Geochem, Kehua St 511, Guangzhou 510640, Guangdong, Peoples R China;
推荐引用方式
GB/T 7714		 Liu, Haitao,Tian, Chongguo,Zong, Zheng,et al. Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms[J]. ATMOSPHERIC ENVIRONMENT,2019,197:159-165.
APA Liu, Haitao,Tian, Chongguo,Zong, Zheng,Wang, Xiaoping,Li, Jun,&Zhang, Gan.(2019).Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms.ATMOSPHERIC ENVIRONMENT,197,159-165.
MLA Liu, Haitao,et al."Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms".ATMOSPHERIC ENVIRONMENT 197(2019):159-165.

入库方式： OAI收割

来源：烟台海岸带研究所

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