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

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

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 pre...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 43(2001), 2 vom: 14., Seite 179-85
1. Verfasser: Schowanek, D (VerfasserIn)
Weitere Verfasser: Fox, K, Holt, M, Schroeder, F R, Koch, V, Cassani, G, Matthies, M, Boeije, G, Vanrolleghem, P, Young, A, Morris, G, Gandolfi, C, Feijtel, T C
Format: Aufsatz
Sprache:English
Veröffentlicht: 2001
Zugriff auf das übergeordnete Werk:Water science and technology : a journal of the International Association on Water Pollution Research
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Validation Study Xenobiotics
Beschreibung
Zusammenfassung: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
Beschreibung:Date Completed 21.06.2001
Date Revised 10.12.2019
published: Print
Citation Status MEDLINE
ISSN:0273-1223