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Improving imputation of missing PM2.5 speciation data using PMF-informed source-receptor relationships.

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Title: Improving imputation of missing PM2.5 speciation data using PMF-informed source-receptor relationships.
Authors: Zhu, Wubin1 (AUTHOR), Xie, Mingjie2 (AUTHOR), Dai, Qili1,3 (AUTHOR) daiql@nankai.edu.cn, Bi, Xiaohui1 (AUTHOR), Zhang, Yufen1 (AUTHOR), Feng, Yinchang1 (AUTHOR)
Source: Atmospheric Measurement Techniques. 2026, Vol. 19 Issue 12, p4219-4231. 13p.
Database: Academic Search Ultimate
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  Data: Improving imputation of missing PM<subscript>2.5</subscript> speciation data using PMF-informed source-receptor relationships.
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Measurement+Techniques%22">Atmospheric Measurement Techniques</searchLink>. 2026, Vol. 19 Issue 12, p4219-4231. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195125910
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.5194/amt-19-4219-2026
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 4219
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      – TitleFull: Improving imputation of missing PM2.5 speciation data using PMF-informed source-receptor relationships.
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            NameFull: Zhang, Yufen
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            – D: 15
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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