YIC-IR  > 中科院海岸带环境过程与生态修复重点实验室
Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM2.5 from a National Background Site in North China
Wang, Xiaoping1,2; Zong, Zheng2; Tian, Chongguo2; Chen, Yingjun3; Luo, Chunling1; Li, Jun1; Zhang, Gan1; Luo, Yongming2; Tian, Chongguo(Chinese Acad Sci, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China)
2017-09-06
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
Volume7
Contribution Rank第2完成单位
AbstractTo explore the utility of combining positive matrix factorization (PMF) with radiocarbon (C-14) measurements for source apportionment, we applied PM2.5 data collected for 14 months at a national background station in North China to PMF models. The solutions were compared to C-14 results of four seasonally averaged samples and three outlier samples. Comparing the most readily interpretable PMF solutions and C-14 results revealed that PMF modeling was well able to capture the source patterns of PM2.5 with two and three irrelevant source classifications for the seasonal and outlier samples. The contribution of sources that could not be classified as either fossil or non-fossil sources in the PMF solution, and the errors between the modeled and measured concentrations weakened the effectiveness of the comparison. Based on these two factors, we developed an index for selecting the most suitable C-14 measurement samples for combining with the PMF model. Then we examined the potential for coupling PMF modeling and C-14 data with a constrained PMF run using the C-14 data as a priori information. The restricted run could provide a more reliable solution; however, the PMF model must provide a flexible dialog to input the priori restrictions for executing the constraint simulation.
DOI10.1038/s41598-017-10762-8
Funding OrganizationKey Laboratory of Coastal Environmental Processes and Ecological Remediation of the Chinese Academy of Sciences (CAS)(2016KFJJ01) ; Natural Scientific Foundation of China (NSFC)(41471413, 41473101) ; Guangzhou Science and Technology Plan Project(201504010002) ; Strategic Priority Research Program of the CAS(XDA11020402) ; NASA/HQ
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Indexed BySCI
WOS KeywordCARBONACEOUS AEROSOLS ; ORGANIC-CARBON ; HAZE EVENTS ; SOUTH CHINA ; GUANGZHOU ; MODELS ; IMPACT ; VS.
SubtypeArticle
Language英语
WOS Research AreaScience & Technology - Other Topics
WOS IDWOS:000409439900066
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/23428
Collection中科院海岸带环境过程与生态修复重点实验室
Corresponding AuthorTian, Chongguo; Tian, Chongguo(Chinese Acad Sci, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China)
Affiliation1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China
2.Chinese Acad Sci, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
3.Tongji Univ, Key Lab Cities Mitigat & Adaptat Climate Change S, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China
First Author AffilicationYantai Institute of Coastal Zone Research, Chinese Academy of Sciences
Corresponding Author AffilicationYantai Institute of Coastal Zone Research, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Xiaoping,Zong, Zheng,Tian, Chongguo,et al. Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM2.5 from a National Background Site in North China[J]. SCIENTIFIC REPORTS,2017,7.
APA Wang, Xiaoping.,Zong, Zheng.,Tian, Chongguo.,Chen, Yingjun.,Luo, Chunling.,...&Tian, Chongguo.(2017).Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM2.5 from a National Background Site in North China.SCIENTIFIC REPORTS,7.
MLA Wang, Xiaoping,et al."Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM2.5 from a National Background Site in North China".SCIENTIFIC REPORTS 7(2017).
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