BasinBox: a generic multimedia fate model for predicting the fate of chemicals in river catchments

2.50
Hdl Handle:
http://hdl.handle.net/10029/7608
Title:
BasinBox: a generic multimedia fate model for predicting the fate of chemicals in river catchments
Authors:
Hollander, A; Huijbregts, M A J; Ragas, A M J; Meent, D van de
Abstract:
Multimedia fate models have proven to be very useful tools in chemical risk assessment and management. This paper presents BasinBox, a newly developed steady-state generic multimedia fate model for evaluating risks of new and existing chemicals in river basins. The model concepts, as well as the intermedia processes quantified in the model, are outlined, and an overview of the required input parameters is given. To test the BasinBox model, calculations were carried out for predicting the fate of chemicals in the river Rhine basin. This was done for a set of 3175 hypothetical chemicals and three emission scenarios to air, river water and cropland soils. For each of these hypothetical chemicals and emission scenarios the concentration ratio between the downstream area and the upstream area was calculated for all compartments. From these calculations it appeared that BasinBox predicts significant concentration differences between upstream and downstream areas of the Rhine river basin for certain types of chemicals and emission scenarios. There is a clear trend of increasing chemical concentrations in downstream direction of the river basin. The calculations show that taking into account spatial variability between upstream, midstream and downstream areas of large river basins can be useful in the predictions of environmental concentrations by multimedia fate models.
Citation:
Hydrobiologia 2006, 565:1
Publisher:
Springer
Issue Date:
20-May-2006
URI:
http://hdl.handle.net/10029/7608
DOI:
10.1007/s10750-005-1903-9
Type:
Article
Language:
en
ISSN:
00188158,15735117
Appears in Collections:
Environment

Full metadata record

DC FieldValue Language
dc.contributor.authorHollander, A-
dc.contributor.authorHuijbregts, M A J-
dc.contributor.authorRagas, A M J-
dc.contributor.authorMeent, D van de-
dc.date.accessioned2007-01-18T10:49:09Z-
dc.date.available2007-01-18T10:49:09Z-
dc.date.issued2006-05-20-
dc.identifier.citationHydrobiologia 2006, 565:1en
dc.identifier.issn00188158,15735117-
dc.identifier.doi10.1007/s10750-005-1903-9-
dc.identifier.urihttp://hdl.handle.net/10029/7608-
dc.description.abstractMultimedia fate models have proven to be very useful tools in chemical risk assessment and management. This paper presents BasinBox, a newly developed steady-state generic multimedia fate model for evaluating risks of new and existing chemicals in river basins. The model concepts, as well as the intermedia processes quantified in the model, are outlined, and an overview of the required input parameters is given. To test the BasinBox model, calculations were carried out for predicting the fate of chemicals in the river Rhine basin. This was done for a set of 3175 hypothetical chemicals and three emission scenarios to air, river water and cropland soils. For each of these hypothetical chemicals and emission scenarios the concentration ratio between the downstream area and the upstream area was calculated for all compartments. From these calculations it appeared that BasinBox predicts significant concentration differences between upstream and downstream areas of the Rhine river basin for certain types of chemicals and emission scenarios. There is a clear trend of increasing chemical concentrations in downstream direction of the river basin. The calculations show that taking into account spatial variability between upstream, midstream and downstream areas of large river basins can be useful in the predictions of environmental concentrations by multimedia fate models.en
dc.format.extent717736 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherSpringeren
dc.titleBasinBox: a generic multimedia fate model for predicting the fate of chemicals in river catchmentsen
dc.typeArticleen
dc.format.digYES-
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