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A rule-based screening environmental risk assessment tool derived from EUSES
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GREAT-ER: a new tool for management and risk assessment of chemicals in river basins: contribution to GREAT-ER #10
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Adequate model complexity for scenario analysis of VOC stripping in a trickling filter
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Development of a chemical fate model for trickling filters based on the activated sludge model Simple Treat: a case study for LAS
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Toepassing van GREAT-ER, een blootstellingsmodel voor chemicalien, op het Rupelstroombekken
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Incorporation of biofilm activity in river biodegradation modeling: a case study for linear alkylbenzene sulphonate (LAS)
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New PEC definitions for river basins applicable to GIS-based environmental exposure assessment
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GREAT-ER: A new tool for management and risk assessment of chemicals in river basins
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- Journal Article
- A4
- open access
Toepassing van GREAT-ER, een blootstellingsmodel voor chemicaliën, op het Rupelstroombekken
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Non-invasive and continuous monitoring of a pilot-scale trickling filter: Weight, off-gas and hydraulic characterization.
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Non-invasive and continuous monitoring of a pilot-scale trickling filter: Weight, off-gas and hydraulic characterization.
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Geo-referenced regional exposure assessment tool for European rivers (GREAT-ER): A case study for the Rupel basin (B).
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Spatially aggregated predicted environmental concentrations (PECs) for geo-referenced exposure assessment
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Development of a geography-referenced regional exposure assessment tool for European rivers: GREAT-ER
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Adaptation of the SimpleTreat chemical fate model to single-sludge biological nutrient removal wastewater treatment plants.
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Prediction and Visualization of the Environmental Concentration of Consumer Chemicals: the GREAT-ER Project
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Geo-referenced prediction of environmental concentrations of chemicals in rivers: A hypothetical case study
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A geo-referenced fate simulation methodology for aquatic exposure assessment of 'down-the-drain' chemicals
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The identification of thresholds of acceptability and danger : the chemical presence route
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Development of a geography-referenced regional exposure assessment tool for European rivers - GREAT-ER contribution to GREAT-ER #1.