Sources of Polycyclic Aromatic Hydrocarbons in Sediments of the Kinnickinnic River, Wisconsin

Christensen, Erik R.; Liu, An; Razak, Irwan A. Ab; Rachdawong, Pichaya; Karls, Jay F.

doi:10.1016/s0380-1330(97)70885-2

Cited by 56 publications

(47 citation statements)

References 20 publications

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“…(Baek et al 1991). Byproducts containing PAHs have been dumped on the land, in the water, or buried at subsurface sites, and they can also undergo long-range transport, find their final destination in soil and sediment of aquatic systems and exist for a long time in the environment (Christensen et al 1997). PAHs can be introduced into the aquatic environment through various routes, such as wastewater discharge, atmospheric deposition, surface runoff, and oil leaking, etc.…”

Section: Introductionmentioning

confidence: 99%

Distribution and ecosystem risk assessment of polycyclic aromatic hydrocarbons in the Luan River, China

et al. 2010

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The distribution and ecosystem risk of 16 polycyclic aromatic hydrocarbons (PAHs) in the Luan River, China, has been investigated. summation operatorPAHs levels ranged from 37.3 to 234 ng L(-1) in water, from 20.9 to 287 ng g(-1) in sediment and from 36.9 to 378 ng g(-1) in bank soil, respectively. A method based on toxic equivalency factors (TEFs) and risk quotient (RQ) which can be used to assess the ecosystem risk of summation operatorPAHs sensitively and accurately was invented and a new ecosystem risk classification of summation operatorPAHs was suggested. The results indicated that the PAHs in aquatic environment of the Luan River resulted in low ecosystem risk and at S9 the ecosystem risk of PAHs in water was moderate. Low and moderate molecular PAHs presented much more ecosystem risk than high molecular PAHs in the Luan River basin and the mean ecosystem risk in water was higher than that in sediment and bank soil.

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Section: Introductionmentioning

confidence: 99%

Distribution and ecosystem risk assessment of polycyclic aromatic hydrocarbons in the Luan River, China

et al. 2010

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“…where X 0 is the new approximate data matrix (G Â F), C 1 is given a value close to the detection limit, and C 2 is similar to a relative error estimate (Christensen et al, 1997), usually ranging from 0.1 to 0.3.…”

Section: Pmf-based Methodsmentioning

confidence: 99%

“…Thus, the approximate weighting matrix, if it is not known a priori, can be adjusted through C 1 and C 2 in Equation (12), such that Q % (Paatero and Tapper, 1993;Paterson et al, 1999;Song et al, 2001). In fact, this method was used for the CMB model (Christensen et al, 1997) to find relative errors producing chi-square (Q) equal to the number of degrees of freedom.…”

Section: Diagnostic Toolsmentioning

confidence: 99%

Comparison of a new variant of PMF with other receptor modeling methods using artificial and real sediment PCB data sets

Bzdusek

Christensen

2006

Environmetrics

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SUMMARYA new variant of positive matrix factorization (PMF) is developed and compared to existing methods of PMF and eigenvalue-based factor analysis (FA) using an artificially created data set, including environmental variability and an environmental data set. Diagnostic tools are considered for the determination of the number of significant factors for all methods. The methodology for the new method of PMF is based on a nonnegative least squares (NNLS) technique combined with iterative rotations to eliminate negative elements from the source profile and source contribution matrices. The PMF and FA methods reproduce the source profiles for the artificial data set well, and the PMF method provides realistic source profiles for the real data set, whereas the FA method does not. The new method may be able to reproduce zero values better than PMF using penalty terms, and also appears to provide a better fit for the data since the minimum value of the weighted sum of squares of residuals Q is maintained during the rotations.

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“…The original code for the CMB model used by Christensen et al (1997) is given in Rachdawong (1997). In this study, the modified version of the model, rewritten in Visual Basic (Demircioğlu 2010), was used.…”

Section: Seyitömer Thermalmentioning

confidence: 99%

A preliminary investigation of the environmental impact of a thermal power plant in relation to PCB contamination

Gedik

İmamoğlu

2011

Environ Sci Pollut Res

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Since there are no other sources of PCBs in the region and the identity of PCB sources estimated by the CMB model mirrors PCB mixtures contained in transformers formerly used in the plant, the environmental contamination observed especially in sediments is attributed to the power plant. Release of PCBs over time, as indicated by the significant concentrations observed even in surface samples, emphasizes the importance of the need for better environmental management.

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Sources of Polycyclic Aromatic Hydrocarbons in Sediments of the Kinnickinnic River, Wisconsin

Cited by 56 publications

References 20 publications

Distribution and ecosystem risk assessment of polycyclic aromatic hydrocarbons in the Luan River, China

Distribution and ecosystem risk assessment of polycyclic aromatic hydrocarbons in the Luan River, China

Comparison of a new variant of PMF with other receptor modeling methods using artificial and real sediment PCB data sets

A preliminary investigation of the environmental impact of a thermal power plant in relation to PCB contamination

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