2012
DOI: 10.1002/env.2188
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Characteristic pattern analysis of polybromodiphenyl ethers in Great Lakes sediments: a combination of eigenspace projection and positive matrix factorization analysis

Abstract: A new idea in receptor modeling is proposed, which utilizes a geometric eigenspace projection combined with a mild alternative matrix updating technique. The eigenspace projection determines the sources or characteristic patterns as vertices that can span all measurements in a multidimensional eigenspace. The mild alternative matrix updating algorithm refines the results determined by the eigenspace projection to generate the optimized source profiles. Positive matrix factorization (PMF) analysis was adopted t… Show more

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Cited by 12 publications
(11 citation statements)
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References 30 publications
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“…The prediction accuracy ability with the logit model of Canada, the United Kingdom, and Germany was only 13%. These results are matched with the findings of Zou et al (2013), Lo Duca and Peltonen (2011), Borio and Lowe (2002), Gerdesmeier et al (2010), and Alessi and Detken (2011).…”
Section: Discussionsupporting
confidence: 88%
“…The prediction accuracy ability with the logit model of Canada, the United Kingdom, and Germany was only 13%. These results are matched with the findings of Zou et al (2013), Lo Duca and Peltonen (2011), Borio and Lowe (2002), Gerdesmeier et al (2010), and Alessi and Detken (2011).…”
Section: Discussionsupporting
confidence: 88%
“…They estimated that approximately 8% of the mass of PBDEs in the sediments may be the result of in situ environmental transformation or occurring during the transport of BDEs. A similar conclusion was arrived at by Zou et al using the Great Lakes sediment data. Zhu and Hites estimated that approximately 95 tons of BDE‐209 resides in Great Lakes sediments.…”
Section: Implications For Environmental Risk Assessmentssupporting
confidence: 86%
“…12 Therefore, PMF should be useful to trace the degradation of PBDEs in sediments, even with minor degradation signals. Recently, PMF analysis has been successfully applied to identify and quantify the microbial reductive debromination of PBDEs by analyzing the presence of specific congeners in sediments from Arkansas water bodies, 13 the Great Lakes 14 and San Francisco Bay. 15 These studies show the potential for PBDE degradation in sediments, but no direct evidence of in situ biodegradation processes has yet been presented.…”
Section: ■ Introductionmentioning
confidence: 99%