Development and evaluation of a dynamic multimedia model (ECORAME) for local scale assessment of aquatic ecological exposure to chemicals originating from sources in environmental media

Jung, Ja Eun; Kim, Yoon Kwan; Song, Jee Hey; Lee, Dong Hoon

doi:10.1016/j.scitotenv.2014.08.097

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Among different multimedia models, the fugacity model by Mackay [13] has been used successfully in many case studies to evaluate the fate of chemicals [12,14,15]. Many of the studies quantify the fate and exchange of the chemicals in the environment by considering the steady or unsteady conditions [16][17][18]. The Quantitative Water Air Sediment Interaction (QWASI) fugacity model [19] is one of the models that has been used to explore the chemical variations (e.g., pesticides and heavy metals) by many researchers [12].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Environmental Exposure to Methoxychlor, α-HCH and Endosulfan–sulfate Residues in Lake Naivasha (Kenya) Using a Multimedia Fate Modeling Approach

Abbasi

Mannaerts

2020

IJERPH

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Distribution of pesticide residues in the environment and their transport to surface water bodies is one of the most important environmental challenges. Fate of pesticides in the complex environments, especially in aquatic phases such as lakes and rivers, is governed by the main properties of the contaminants and the environmental properties. In this study, a multimedia mass modeling approach using the Quantitative Water Air Sediment Interaction (QWASI) model was applied to explore the fate of organochlorine pesticide residues of methoxychlor, α-HCH and endosulfan-sulfate in the lake Naivasha (Kenya). The required physicochemical data of the pesticides such as molar mass, vapor pressure, air-water partitioning coefficient (K AW ), solubility, and the Henry's law constant were provided as the inputs of the model. The environment data also were collected using field measurements and taken from the literature. The sensitivity analysis of the model was applied using One At a Time (OAT) approach and calibrated using measured pesticide residues by passive sampling method. Finally, the calibrated model was used to estimate the fate and distribution of the pesticide residues in different media of the lake. The result of sensitivity analysis showed that the five most sensitive parameters were K OC , logKow, half-life of the pollutants in water, half-life of the pollutants in sediment, and K AW . The variations of outputs for the three studied pesticide residues against inputs were noticeably different. For example, the range of changes in the concentration of α-HCH residue was between 96% to 102%, while for methoxychlor and endosulfan-sulfate it was between 65% to 125%. The results of calibration demonstrated that the model was calibrated reasonably with the R 2 of 0.65 and RMSE of 16.4. It was found that methoxychlor had a mass fraction of almost 70% in water column and almost 30% of mass fraction in the sediment. In contrast, endosulfan-sulfate had highest most fraction in the water column (>99%) and just a negligible percentage in the sediment compartment. α-HCH also had the same situation like endosulfan-sulfate (e.g., 99% and 1% in water and sediment, respectively). Finally, it was concluded that the application of QWASI in combination with passive sampling technique allowed an insight to the fate process of the studied OCPs and helped actual concentration predictions. Therefore, the results of this study can also be used to perform risk assessment and investigate the environmental exposure of pesticide residues.

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Section: Introductionmentioning

confidence: 99%

Exploring the Environmental Exposure to Methoxychlor, α-HCH and Endosulfan–sulfate Residues in Lake Naivasha (Kenya) Using a Multimedia Fate Modeling Approach

Abbasi

Mannaerts

2020

IJERPH

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“…Among different multimedia models, the fugacity model by (Mackay 1979) has been used successfully in many case studies to evaluate the fate of chemicals (Xu et al 2013;Lang et al 2008;Wang et al 2011). Many of the studies quantify the fate and exchange of the chemicals in the nature by considering the steady or unsteady conditions (Huang et al 2019;Jung et al 2014;Kim and Lee 2017). The Quantitative Water Air Sediment Interaction (QWASI) fugacity model (Mackay, Paterson, and Joy 1983) is one of the models that have been used to explore the chemicals (e.g., pesticides and heavy metals) by many researchers (Xu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Evaluating and Monitoring Environmental Exposure to Pesticide Residues in the Lake Naivasha River Basin (Kenya)

Abbasi¹

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A multimedia fugacity model to estimate the fate and transport of polycyclic aromatic hydrocarbons (PAHs) in a largely urbanized area, Shanghai, China

et al. 2019

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Development and evaluation of a dynamic multimedia model (ECORAME) for local scale assessment of aquatic ecological exposure to chemicals originating from sources in environmental media

Cited by 7 publications

References 24 publications

Exploring the Environmental Exposure to Methoxychlor, α-HCH and Endosulfan–sulfate Residues in Lake Naivasha (Kenya) Using a Multimedia Fate Modeling Approach

Exploring the Environmental Exposure to Methoxychlor, α-HCH and Endosulfan–sulfate Residues in Lake Naivasha (Kenya) Using a Multimedia Fate Modeling Approach

Evaluating and Monitoring Environmental Exposure to Pesticide Residues in the Lake Naivasha River Basin (Kenya)

A multimedia fugacity model to estimate the fate and transport of polycyclic aromatic hydrocarbons (PAHs) in a largely urbanized area, Shanghai, China

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