Human health risk assessment of carbamazepine in surface waters of North America and Europe

Cunningham, Virginia; Perino, Christopher; D’Aco, Vincent J.; Hartmann, Andreas; Bechter, R.

doi:10.1016/j.yrtph.2009.10.006

Cited by 87 publications

(44 citation statements)

References 44 publications

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“…These factors have been accounted for in models such as GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers : Feijtel. et al, 1997;Schroeder et al, 2002;Koormann et al, 2006;, LF2K-WQX (Price et al, 2010;Williams et al, 2009) QMX (Warren et al, 2005; and PhATE (Cunningham et al, 2009;Cunningham et al, 2010;Capdevielle et al, 2008) which are designed for higher tier risk assessments in specific catchments. However, the application of such models is limited by data requirements (location and sizes of point sources and river discharge statistics).…”

Section: Introductionmentioning

confidence: 99%

Estimating surface water concentrations of “down-the-drain” chemicals in China using a global model

Whelan¹,

Hodges²,

Williams³

et al. 2012

Environmental Pollution

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Predictions of surface water exposure to "down-the-drain" chemicals are presented which employ grid-based spatially-referenced data on average monthly runoff, population density, country-specific per capita domestic water and substance use rates and sewage treatment provision. Water and chemical load are routed through the landscape using flow directions derived from digital elevation data, accounting for in-stream chemical losses using simple first order kinetics. Although the spatial and temporal resolution of the model are relatively coarse, the model still has advantages over spatially inexplicit "unit-world" approaches, which apply arbitrary dilution factors, in terms of predicting the location of exposure hotspots and the statistical distribution of concentrations. The latter can be employed in probabilistic risk assessments. Here the model was applied to predict surface water exposure to "downthe-drain" chemicals in China for different levels of sewage treatment provision.Predicted spatial patterns of concentration were consistent with observed water quality classes for China.Key Words: Global, Exposure, Chemical, Model, China Capsule AbstractA global-scale model was used to predict spatial patterns of "down-the-drain" chemical concentrations in China. Predictions were consistent with observed water quality classes, demonstrating the potential value of the model.3

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Section: Introductionmentioning

confidence: 99%

Estimating surface water concentrations of “down-the-drain” chemicals in China using a global model

Whelan¹,

Hodges²,

Williams³

et al. 2012

Environmental Pollution

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show abstract

“…In contrast, modeled concentrations generally reflect typical or average concentrations required for detailed environmental risk assessment (Leeuwen and Vermeire 2007). To assess the environmental risks of Bdown-the-drain^chemicals in rivers, GREAT-ER has proven to be a well-developed and reliable model that simulates environmental concentrations and provides risk distributions of these chemicals in a series of individual European catchments (Cunningham et al 2010;Hannah et al 2009;Hüffmeyer et al 2009;Sabaliunas et al 2003). By establishing a European digital river network based on input data including hydrological data, emission information, and other parameters, GREAT-ER has been successfully used to simulate environmental concentrations and assess the environmental risks of surfactants such as alkylbenzene sulfonate (Fox et al 2000), drugs such as ethinyl estradiol and aspirin (Schowanek and Webb 2002), and EDCs such as estradiol and estrogen estrone (Sabaliunas et al 2003;Sumpter et al 2006).…”

Section: Responsible Editor: Michael Matthiesmentioning

confidence: 99%

Application of the GREAT-ER model for environmental risk assessment of nonylphenol and nonylphenol ethoxylates in China

Zhang

Yan

Hao

et al. 2015

Environ Sci Pollut Res

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The environmental risk presented by Bdown-thedrain^chemicals to receiving rivers in large urban areas has received increasing attention in recent years. Geo-referenced Regional Environmental Assessment Tool for European Rivers (GREAT-ER) is a typical river catchment model that has been specifically developed for the risk assessment of these chemicals and applied in many European rivers. By utilizing the new version of the model, GREAT-ER 3.0, which is the first completely open source software for worldwide application, this study represents the first attempt to conduct an application of GREAT-ER in the Wenyu River of China. Aquatic exposure simulation and an environmental risk assessment of nonylphenol (NP) and its environmental precursor nonylphenol ethoxylates (NPEOs) were conducted effectively by GREAT-ER model, since NP is one of typical endocrine disrupting chemicals (EDCs) and its environmental precursor NPEOs as a Bdown-the-drain^chemical are extensively used in China. In the result, the predicted environmental concentrations (PECs) of NP and NPEOs in the water of Wenyu River were 538 and 4320 ng/L, respectively, at the regional scale, and 1210 and 8990 ng/L, respectively, at the local scale. From the results profile of the RCR, the combination of high emissions from large STPs with insufficient dilution of the river caused the high RCR. The PECs of NP in the sediment were in the range of 216.8-8218.3 ng/g (dry weight), which was consistent with the available monitoring data. The study showed the worldwide applicability and reliability of GREAT-ER as a river catchment model for the risk assessment of these chemicals and also revealed the general environmental risks presented by NP and NPEOs in the Wenyu River catchment in Beijing due to the extensive use of these chemicals. The results suggest that specific control or treatment measures are probably warranted for these chemicals to reduce their discharge in major cities.

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“…Токсикологи рассматри-вают риск для здоровья людей от превышения концентрации карбамазепина в поверхностных водах Северной Америки и Евро-пы [192]. Поэтому стремление к ограничению предельной суточ-ной дозы карбамазепина вполне оправдано.…”

Section: принципы лечения тригеминальной невралгииunclassified

“…При этом обращал на себя внимание тот факт, что дренируемая зона не зависела от места впадения ВКВ в верхний каменистый синус. Учитывая то обстоятельство, что многие авторы причиной классической НТН Считают также конфликт и с венозными сосу-дами, расположенными вблизи КТН [83,127,128,146,192,193,275], нами проведено изучение взаимоотношений КТН с ВКВ и ее притоками у лиц, не страдавших НТН. Установлено, что при меди-альном типе впадения ВКВ в ВКС расстояние между КТН и ВКВ со-ставляло от 1 до 5 мм.…”

Section: топографо-анатомические взаимоотношения корешка тройничного unclassified

Классическая Невралгия Тройничного Нерва

Балязина¹

2015

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Human health risk assessment of carbamazepine in surface waters of North America and Europe

Cited by 87 publications

References 44 publications

Estimating surface water concentrations of “down-the-drain” chemicals in China using a global model

Estimating surface water concentrations of “down-the-drain” chemicals in China using a global model

Application of the GREAT-ER model for environmental risk assessment of nonylphenol and nonylphenol ethoxylates in China

Классическая Невралгия Тройничного Нерва

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