| Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms | |
Liu, Haitao; Tian, Chongguo ; Zong, Zheng; Wang, Xiaoping; Li, Jun; Zhang, Gan
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| 发表期刊 | ATMOSPHERIC ENVIRONMENT
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| ISSN | 1352-2310 |
| 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 |
| 研究领域 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| DOI | 10.1016/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 |
| 作者部门 | 海岸带环境过程实验室 |
| 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. |
| 文章类型 | Article |
| 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] |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | PM2.5 CARBONACEOUS AEROSOLS ; PARTICULATE MATTER ; BACKGROUND SITE ; RADIOCARBON |
| 研究领域[WOS] | Environmental Sciences ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:000451492400015 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/24623 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室 中国科学院海岸带环境过程与生态修复重点实验室 |
| 作者单位 | 1.Harbin Engn Univ, Sch Econ & Management, Harbin 150007, Heilongjiang, Peoples R China; 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Peoples R China; 3.Heilongjiang Univ Sci & Technol, Grad Sch, Harbin 150022, Heilongjiang, Peoples R China; 4.Chinese Acad Sci, Guangzhou Inst Geochem, Kehua St 511, Guangzhou 510640, Guangdong, Peoples R China; 5.Ludong Univ, Yantai 264025, 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. |
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