Sorption of hydrophobic pollutants on natural sediments

Karickhoff, Samuel W.; Brown, D. S.; Scott, Trudy A.

doi:10.1016/0043-1354(79)90201-x

Cited by 2,567 publications

(1,583 citation statements)

References 15 publications

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“…The slope in the PRE is lower than that in the Dongjiang River or the Pearl River. It is lower than the slope reported by Karickhoff et al (1979). But it is higher than that reported by Luo et al (2004) or by Deng et al (2006), which suggests that there was an increasing tendency of the lipophilicity of the suspensions in the Pearl River Delta.…”

Section: Dongjiangcontrasting

confidence: 65%

In-situ partitioning and bioconcentration of polycyclic aromatic hydrocarbons among water, suspended particulate matter, and fish in the Dongjiang and Pearl Rivers and the Pearl River Estuary, China

Huang

et al. 2014

Marine Pollution Bulletin

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Section: Dongjiangcontrasting

confidence: 65%

In-situ partitioning and bioconcentration of polycyclic aromatic hydrocarbons among water, suspended particulate matter, and fish in the Dongjiang and Pearl Rivers and the Pearl River Estuary, China

Huang

et al. 2014

Marine Pollution Bulletin

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“…The partitioning concept of soil sorption of organic contaminants implies that the sorption of hydrophobic organic molecules is determined by the organic carbon content of the substrate (Karickhof and Brown, 1979;Chiou et al, 1979Chiou et al, , 1998. The organic matter content is considered to be a very important variable related to PAHs pollution of soils (Boehm et al, 2002).…”

Section: Effect Of Soil Organic Carbon (Soc)mentioning

confidence: 99%

Contamination of polycyclic aromatic hydrocarbons (PAHs) in urban soils in Beijing, China

Tang

Zhu

et al. 2005

Environment International

280

104

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Soil contamination with polycyclic aromatic hydrocarbons (PAHs) is an increasing problem in many countries, including China. An extensive and systematic survey has been undertaken to evaluate the contamination with PAHs of urban soils in Beijing, China. Soil samples were collected from campuses of universities, schools and kindergartens, public squares, fallow land and roadsides, and were analyzed for 16 PAHs by GC -MS. There was a high variability in the total PAHs (~PAHs) concentrations, ranging from less than 366 to 27,825 ng g À 1 . The highest~PAHs concentrations were found at roadsides and industrial sites. Soil organic carbon (SOC) is one of the important factors that can influence the concentrations of PAHs in soils. It was found that concentrations of~PAHs were significantly correlated with that of soil organic carbon. To trace the sources of PAHs, the ratios of phenanthrene to anthracene and fluoranthene to pyrene were used to identify pyrogenic and petrogenic sources, respectively. In most cases, PAHs in soils in urban areas of Beijing were pyrogenic. These sources included motor vehicle exhausts, industrial activities and coal burning. These data can be further used to assess the health risk associated with soils polluted with PAHs. D

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“…In this study too, the linear model was used to fit sorption data for all the six pollutants over broad concentration ranges (0-3850 mg/L) and different background ionic strengths (0.01, 0.5 and 0.1). The isotherm parameters for particular ionic strengths and pollutants examined in the present study along with the regression co-efficient values, r 2 , are summarised in (Karickhoff et al, 1979;Garbarini and Lion, 1986) (given in Table 1). …”

Section: Estimation Of Experimental Sorption Coefficientsmentioning

confidence: 99%

QSAR Models To Predict Effect of Ionic Strength on Sorption of Chlorinated Benzenes and Phenols at Sediment–Water Interface

Rao

Asolekar

2001

Water Research

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Abstract}It is hypothesised that the experimental sorption coefficient normalised to the organic carbon fraction of sediment (K exp oc ) for non-ionic, hydrophobic, organic pollutant depends upon the molecular properties as well as background ionic strength of the aquatic system. The utility of this concept has been demonstrated by incorporating ionic strength as a parameter in the three quantitative structure activity relationships (QSARs) namely octanol-water partitioning coefficient model (Kow model), the linear solvation energy model (LSE model), and molecular connectivity indices theory (MCI model). Four chlorinated benzenes and two chlorinated phenols were employed in the present study. Sorption experiments using sediment from the Patalganga River were conducted in laboratory (bottle point method) at different ionic strengths (viz. 0.01, 0.05, and 0.10 M). The K cal oc values predicted using Kow model incorporating ionic strength compare reasonably well with the K exp oc values (r 2 ¼ 0:60 and standard error of estimator i.e. SEE=0.35). The LSE model incorporating ionic strength too, was found to be equally good (r 2 ¼ 0:67, SEE=0.33). An attempt has also been made to validate the QSARs developed in the present study utilising the sorption parameters experimentally measured by Dewulf et al. (1996)

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Sorption of hydrophobic pollutants on natural sediments

Cited by 2,567 publications

References 15 publications

In-situ partitioning and bioconcentration of polycyclic aromatic hydrocarbons among water, suspended particulate matter, and fish in the Dongjiang and Pearl Rivers and the Pearl River Estuary, China

In-situ partitioning and bioconcentration of polycyclic aromatic hydrocarbons among water, suspended particulate matter, and fish in the Dongjiang and Pearl Rivers and the Pearl River Estuary, China

Contamination of polycyclic aromatic hydrocarbons (PAHs) in urban soils in Beijing, China

QSAR Models To Predict Effect of Ionic Strength on Sorption of Chlorinated Benzenes and Phenols at Sediment–Water Interface

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