Development of a geography-referenced regional exposure assessment tool for European rivers - great-er contribution to great-er #1

Feijtel, Tom C. J.; Boeije, Geert; Matthies, Michael; Young, Andrew; Morris, G.; Gandolfi, Claudio; Hansen, B.; Fox, K; Holt, Martin; Koch, Volker; Schröder, R.; Cassani, G.; Schowanek, Diederik; Rosenblom, Jan; Niessen, H.

doi:10.1016/s0045-6535(97)00048-9

Cited by 144 publications

(58 citation statements)

References 9 publications

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“…The method represents an intermediate level between generic (and crude) multi-media models or "back-of-theenvelope" exposure calculations and detailed (but rather data hungry) process-based models, such as GREAT-ER (Feijtel et al, 1997;Koormann et al, 2006;. A key output from this approach is the ability to identify particular regions in which concentrations of certain chemicals may be a cause for concern.…”

Section: Discussionmentioning

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: Discussionmentioning

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

“…ADIs were used to estimate PNECs for both drinking water and fish ingestion. The PNECs were compared to measured environmental concentrations (MECs) from the published literature and to maximum PECs generated using the regional assessment models PhATE TM (Anderson et al, 2004) for North America and GREAT-ER (Feijtel et al, 1997) for Europe. The model predictions assumed low river flow and no depletion (no metabolism, no removal during wastewater or drinking water treatment, and no instream depletion).…”

Section: Risk Assessmentmentioning

confidence: 99%

Review of risk from potential emerging contaminants in UK groundwater

Stuart

Lapworth

Crane

et al. 2012

Science of The Total Environment

673

284

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This paper provides a review of the types of emerging organic groundwater contaminants (EGCs) which are beginning to be found in the UK. EGCs are compounds being found in groundwater that were previously not detectable or known to be significant and can come from agricultural, urban and rural point sources. EGCs include nanomaterials, pesticides, pharmaceuticals, industrial compounds, personal care products, fragrances, water treatment by-products, flame retardants and surfactants, as well as caffeine and nicotine. Many are relatively small polar molecules which may not be effectively removed by drinking water treatment. Data from the UK Environment Agency's groundwater screening programme for organic pollutants found within the 30 most frequently detected compounds a number of EGCs such as pesticide metabolites, caffeine and DEET. Specific determinands frequently detected include pesticides metabolites, pharmaceuticals including carbamazepine and triclosan, nicotine, food additives and alkyl phosphates. This paper discusses the routes by which these compounds enter groundwater, their toxicity and potential risks to drinking water and the environment. It identifies challenges that need to be met to minimise risk to drinking water and ecosystems.

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“…This, for example, is the case in the Great-ER model (Feijtel et al, 1997) and the LOIS model (Boorman, 2003). Coulibaly et al (2004) did develop a multimedia catchment model for the Passaic River Watershed in the USA, and Suzuki et al (2004) described a multimedia model built up from 38,000 river catchments in Japan (G-CIEMS), but both are very site-specific GIS-based models of relatively small basins (up to 200 km 2 ) that cannot be easily applied to other river catchments.…”

Section: Introductionmentioning

confidence: 92%

BasinBox: A Generic Multimedia Fate Model for Predicting the Fate of Chemicals in River Catchments

et al. 2006

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Development of a geography-referenced regional exposure assessment tool for European rivers - great-er contribution to great-er #1

Cited by 144 publications

References 9 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

Review of risk from potential emerging contaminants in UK groundwater

BasinBox: A Generic Multimedia Fate Model for Predicting the Fate of Chemicals in River Catchments

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