Literature DB >> 12230190

PCB sources, transformations, and contributions in recent Fox River, Wisconsin sediments determined from receptor modeling.

Ipek Imamoglu1, Erik R Christensen.   

Abstract

The PCB contamination in lower Fox River sediments was investigated in order to identify possible PCB sources, contributions, and transformations, using two receptor models. Congener specific sediment PCB data from sites immediately upstream of DePere dam to Green Bay that had been gathered for the Green Bay/Fox River Mass Balance Study, were used in this analysis. The first receptor model is a self training factor analysis (FA) model with non-negative constraints that was applied to identify the PCB sources and significant congener patterns. The second is a chemical mass balance model (CMB) in which published Aroclor sources, inferred from our FA model, were used to apportion these Aroclors to each sample. The FA model indicated two significant factors, the major one being Aroclor 1242 and the other, a profile dominated by low chlorinated congeners, indicating a possible PCB alteration profile. This profile had significant contributions to samples at or around sites with total PCB concentrations higher than 50 ppm, indicating a potential anaerobic dechlorination activity. It was also deduced from the FA model that very small contributions of more highly chlorinated Aroclors may be present in the system. The results from the CMB model confirmed that the system is dominated by Aroclor 1242. Its average contribution was 95%, with small amounts of Aroclor 1254 (2%) and 1260 (1%). Two of the samples, located in the vicinity of point sources, showed high contributions of Aroclor 1016 by the CMB model. This is interpreted as an altered Aroclor profile resembling the less chlorinated Aroclor 1016. Contributions obtained form the CMB and FA models show similar patterns.

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Year:  2002        PMID: 12230190     DOI: 10.1016/s0043-1354(02)00050-7

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2011-02-02       Impact factor: 4.223

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Authors:  D V Chip Weseloh; Cynthia Pekarik; Shane R De Solla
Journal:  Environ Monit Assess       Date:  2006-02       Impact factor: 2.513

3.  Electrical stimulation of microbial PCB degradation in sediment.

Authors:  Chan Lan Chun; Rayford B Payne; Kevin R Sowers; Harold D May
Journal:  Water Res       Date:  2012-10-13       Impact factor: 11.236

4.  Application of the positive matrix factorization approach to identify heavy metal sources in sediments. A case study on the Mexican Pacific Coast.

Authors:  C González-Macías; G Sánchez-Reyna; L Salazar-Coria; I Schifter
Journal:  Environ Monit Assess       Date:  2013-08-22       Impact factor: 2.513

5.  Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay.

Authors:  Fu-Lin Tian; Fa-Yun Li; De-Gao Wang; Yan-Jie Wang
Journal:  Int J Environ Res Public Health       Date:  2018-04-16       Impact factor: 3.390

  5 in total

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