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GREAT-ER: a new tool for management and risk assessment of chemicals in river basins: contribution to GREAT-ER #10

(2001) WATER SCIENCE AND TECHNOLOGY. 43(2). p.179-185
Author
Organization
Abstract
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 ((R) 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.
Keywords
geographic information systems (GIS), environmental risk assessment, GREAT-ER, river basins, model validation, MODEL

Citation

Please use this url to cite or link to this publication:

MLA
Schowanek, D, K Fox, M Holt, et al. “GREAT-ER: a New Tool for Management and Risk Assessment of Chemicals in River Basins: Contribution to GREAT-ER #10.” WATER SCIENCE AND TECHNOLOGY 43.2 (2001): 179–185. Print.
APA
Schowanek, D, Fox, K., Holt, M., Schroeder, F., Koch, V., Cassani, G., Matthies, M., et al. (2001). GREAT-ER: a new tool for management and risk assessment of chemicals in river basins: contribution to GREAT-ER #10. WATER SCIENCE AND TECHNOLOGY, 43(2), 179–185. Presented at the 1st World Water Congress of the International-Water-Association (IWA).
Chicago author-date
Schowanek, D, K Fox, M Holt, FR Schroeder, V Koch, G Cassani, M Matthies, et al. 2001. “GREAT-ER: a New Tool for Management and Risk Assessment of Chemicals in River Basins: Contribution to GREAT-ER #10.” Water Science and Technology 43 (2): 179–185.
Chicago author-date (all authors)
Schowanek, D, K Fox, M Holt, FR Schroeder, V Koch, G Cassani, M Matthies, Geert Boeije, Peter Vanrolleghem, A Young, G Morris, C Gandolfi, and TCJ FEijtel. 2001. “GREAT-ER: a New Tool for Management and Risk Assessment of Chemicals in River Basins: Contribution to GREAT-ER #10.” Water Science and Technology 43 (2): 179–185.
Vancouver
1.
Schowanek D, Fox K, Holt M, Schroeder F, Koch V, Cassani G, et al. GREAT-ER: a new tool for management and risk assessment of chemicals in river basins: contribution to GREAT-ER #10. WATER SCIENCE AND TECHNOLOGY. 2001;43(2):179–85.
IEEE
[1]
D. Schowanek et al., “GREAT-ER: a new tool for management and risk assessment of chemicals in river basins: contribution to GREAT-ER #10,” WATER SCIENCE AND TECHNOLOGY, vol. 43, no. 2, pp. 179–185, 2001.
@article{168297,
  abstract     = {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 ((R) 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.},
  author       = {Schowanek, D and Fox, K and Holt, M and Schroeder, FR and Koch, V and Cassani, G and Matthies, M and Boeije, Geert and Vanrolleghem, Peter and Young, A and Morris, G and Gandolfi, C and FEijtel, TCJ},
  issn         = {0273-1223},
  journal      = {WATER SCIENCE AND TECHNOLOGY},
  keywords     = {geographic information systems (GIS),environmental risk assessment,GREAT-ER,river basins,model validation,MODEL},
  language     = {eng},
  location     = {Paris, France},
  number       = {2},
  pages        = {179--185},
  title        = {GREAT-ER: a new tool for management and risk assessment of chemicals in river basins: contribution to GREAT-ER #10},
  volume       = {43},
  year         = {2001},
}

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