2019
DOI: 10.1007/s10661-019-7360-0
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Polycyclic aromatic hydrocarbons (PAHs) in water and sediment of Hoor Al-Azim wetland, Iran: a focus on source apportionment, environmental risk assessment, and sediment-water partitioning

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Cited by 45 publications
(18 citation statements)
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“…PCA-MLR as a receptor model quantifies the percentage contribution of pollution sources (Pan et al 2017 ). PCA-MLR is formulated as follows (Fakhradini et al 2019 ): …”
Section: Methodsmentioning
confidence: 99%
“…PCA-MLR as a receptor model quantifies the percentage contribution of pollution sources (Pan et al 2017 ). PCA-MLR is formulated as follows (Fakhradini et al 2019 ): …”
Section: Methodsmentioning
confidence: 99%
“…It is very important to determine whether the concentration levels of heavy metals in sediments pose an ecological risk to aquatic life. Therefore, risk assessment of heavy metals in sediments was carried out by comparing the heavy metal concentrations with SQGs (Costa- Fakhradini et al 2019;Tian et al 2020). According to the quality directive, the indices are the threshold effect level (TEL) and the possible impact level (PEL).…”
Section: Sediment Quality Guidelines (Sqgs)mentioning
confidence: 99%
“…Organic carbon normalized partition coefficients (Koc) estimate PAH attraction to sediment and define the sediment-water partitioning level [ 23 , 24 , 25 ]. In order to assess the behavior of PAHs in the Sele River area, in situ organic carbon coefficients ( K oc ′ ) were calculated by Equation (1) [ 26 , 27 ]: K oc ′ = C S /( C aq × f oc ) where C s and C aq are the PAH concentrations in the solid and liquid phases, respectively, and f oc is the percentage of organic carbon in the sediment.…”
Section: Methodsmentioning
confidence: 99%