G. Morris
Environment Agency
9 Papers
79 Citations
G. Morris is an academic researcher from Environment Agency. The author has contributed to research in topics: Exposure assessment & Risk assessment. The author has an hindex of 7, co-authored 8 publications.
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Papers
Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER
Tom C. J. Feijtel,Geert Boeije,Michael Matthies,A. Young,G. Morris,C Gandolfi,B. Hansen,K Fox,E. Matthijs,Volker Koch,R. Schroder,G. Cassani,Diederik Schowanek,J. Rosenblom,M. S. Holt +14 more
TL;DR: The GREAT-ER project as mentioned in this paper developed and validated a powerful and accurate aquatic chemical exposure prediction tool for use within the EU environmental risk assessment schemes by using Geographical Information Systems (GIS) for data storage and visualization, combined with simple mathematical models.
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GREAT-ER: a new tool for management and risk assessment of chemicals in river basins. Contribution to GREAT-ER #10.
Diederik Schowanek,K Fox,M. Holt,F. R. Schroeder,Volker Koch,G. Cassani,Michael Matthies,Geert Boeije,Peter A. Vanrolleghem,A. Young,G. Morris,Claudio Gandolfi,Tom C. J. Feijtel +12 more
TL;DR: 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.
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GREAT-ER: A new tool for management and risk assessment of chemicals in river basins
Diederik Schowanek,K Fox,M. Holt,Fr Schroeder,Koch,Giorgio Cassani,Michael Matthies,Geert Boeije,Peter A. Vanrolleghem,A. Young,G. Morris,Claudio Gandolfi,Tcj Feijtel +12 more
- 01 Jan 2000
TL;DR: The GREAT-ER project as mentioned in this paper developed and validated an accurate aquatic chemical exposure prediction tool for use within environmental risk assessment schemes, which calculates the distribution of predicted environmental concentrations (PECs) of consumer chemicals in surface waters, for individual river stretches as well as for entire catchments.
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Data requirements of GREAT-ER: modelling and validation using LAS in four UK catchments.
Oliver R. Price,Dawn K. Munday,Mick J. Whelan,Martin S. Holt,Katharine K. Fox,G. Morris,Andrew R. Young +6 more
TL;DR: It is demonstrated that the GREAT-ER model is very sensitive to variability in river discharges, however it is insensitive to the form of distributions used to describe chemical usage and removal rate in sewage treatment plants (STPs).
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Effective environmental regulation to maximise the benefits of integrated wastewater management
B. Crabtree,G. Morris +1 more
TL;DR: The paper illustrates how the Urban Pollution Management procedure and associated environmental standards are to be used to underpin the Environment Agency's policy, to encourage the use of integrated wastewater planning and, as a result, ensure that the anticipated environmental improvements will be delivered.
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