The GREAT-ER (Geo-referenced Regional Exposure Assessment Tool for European Rivers) project team has developed and validated an accurate aquatic chemical exposure prediction tool for use within environmental risk assessment schemes. The software system GREAT-ER 1.0 calculates the distribution of predicted environmental concentrations (PECs) of consumer chemicals in surface waters, for individual river stretches as well as for entire catchments. The system uses an ARC/INFO – ArcView (® ESRI) based Geographical Information System (GIS) for data storage and visualization, combined with simple mathematical models for prediction of chemical fate. At present, the system contains information for four catchments in Yorkshire, one catchment in Italy, and two in Germany, while other river basins are being added. Great-ER 1.0 has been validated by comparing simulations with the results of an extensive monitoring campaign for two ‘down-the-drain’ chemicals, i.e. the detergent ingredients boron and Linear Alkylbenzene Sulphonate (LAS). GREAT-ER 1.0 is currently being expanded with models for the terrestrial (diffuse input), air and estaurine compartments.
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Research Article|
January 01 2001
GREAT-ER: a new tool for management and risk assessment of chemicals in river basins Contribution to GREAT-ER No.10 Available to Purchase
D. Schowanek;
1Procter & Gamble Eurocar, Temselaan 100, B-1853 Strombeek-Bever, Belgium
E-mail: [email protected]
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K. Fox;
K. Fox
2Unilever Research Port Sunlight Laboratory, Quarry Road East, Bebington, Wirral L63 3JW, UK
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M. Holt;
M. Holt
3ECETOC, Avenue van Nieuwenhuyse 4, Box 6, B-1160, Brussels, Belgium
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F. R. Schroeder;
F. R. Schroeder
4Henkel, KGaA, D-40191 Düsseldorf; Germany
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V. Koch;
V. Koch
5Clariant AG, ESHA Chemicals, D-65840, Sulzbach, Germany
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G. Cassani;
G. Cassani
6Condea Augusta S.p.A. Research Center, Via Reali 4, 1-20037 Padermo Dugnano, Italy
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M. Matthies;
M. Matthies
7University Osnabrück, Institute of Environmental Systems Research, Artilleriestrasse 34, D-49069 Osnabrück, Germany
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G. Boeije;
G. Boeije
8University Gent, Department of Applied Mathematics, Biometrics and Process Control, Coupure L-653, 9000 Gent, Belgium
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P. Vanrolleghem;
P. Vanrolleghem
8University Gent, Department of Applied Mathematics, Biometrics and Process Control, Coupure L-653, 9000 Gent, Belgium
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A. Young;
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A. Young
9Institute of Hydrology, Crowmarsh Gifford, GB-Wallingford, Oxfordshire OX10 8BB, UK
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G. Morris;
G. Morris
10Environment Agency Laboratory Service, Olympia House, Gelderd Lane, Gelderd Road, LS12 6DD Leeds, UK
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C. Gandolfi;
C. Gandolfi
11University of Milan, Istituto di Idraulica Agraria, Via Celoria 2, 20133, Milan, Italy
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T. C. Feijtel
T. C. Feijtel
1Procter & Gamble Eurocar, Temselaan 100, B-1853 Strombeek-Bever, Belgium
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Water Sci Technol (2001) 43 (2): 179–185.
Citation
D. Schowanek, K. Fox, M. Holt, F. R. Schroeder, V. Koch, G. Cassani, M. Matthies, G. Boeije, P. Vanrolleghem, A. Young, G. Morris, C. Gandolfi, T. C. Feijtel; GREAT-ER: a new tool for management and risk assessment of chemicals in river basins Contribution to GREAT-ER No.10. Water Sci Technol 1 January 2001; 43 (2): 179–185. doi: https://doi.org/10.2166/wst.2001.0088
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