title: Monitoring, modelling and environmental exposure assessment of industrial chemicals in the aquatic environment.
abstract: Monitoring and laboratory data play integral roles alongside fate and exposure models in comprehensive risk assessments. The principle in the European Union Technical Guidance Documents for risk assessment is that measured data may take precedence over model results but only after they are judged to be of adequate reliability and to be representative of the particular environmental compartments to which they are applied. In practice, laboratory and field data are used to provide parameters for the models, while monitoring data are used to validate the models' predictions. Thus, comprehensive risk assessments require the integration of laboratory and monitoring data with the model predictions. However, this interplay is often overlooked. Discrepancies between the results of models and monitoring should be investigated in terms of the representativeness of both. Certainly, in the context of the EU risk assessment of existing chemicals, the specific requirements for monitoring data have not been adequately addressed. The resources required for environmental monitoring, both in terms of manpower and equipment, can be very significant. The design of monitoring programmes to optimise the use of resources and the use of models as a cost-effective alternative are increasing in importance. Generic considerations and criteria for the design of new monitoring programmes to generate representative quality data for the aquatic compartment are outlined and the criteria for the use of existing data are discussed. In particular, there is a need to improve the accessibility to data sets, to standardise the data sets, to promote communication and harmonisation of programmes and to incorporate the flexibility to change monitoring protocols to amend the chemicals under investigation in line with changing needs and priorities.
authors.affiliation: ECETOC, Brussels, Belgium.
authors.forename: M S
authors.initials: MS
authors.lastname: Holt
authors.forename: K
authors.initials: K
authors.lastname: Fox
authors.forename: E
authors.initials: E
authors.lastname: Griessbach
authors.forename: S
authors.initials: S
authors.lastname: Johnsen
authors.forename: J
authors.initials: J
authors.lastname: Kinnunen
authors.forename: A
authors.initials: A
authors.lastname: Lecloux
authors.forename: R
authors.initials: R
authors.lastname: Murray-Smith
authors.forename: D R
authors.initials: DR
authors.lastname: Peterson
authors.forename: R
authors.initials: R
authors.lastname: Schröder
authors.forename: M
authors.initials: M
authors.lastname: Silvani
authors.forename: W F
authors.initials: WF
authors.lastname: ten Berge
authors.forename: R J
authors.initials: RJ
authors.lastname: Toy
authors.forename: T C
authors.initials: TC
authors.lastname: Feijtel
mesh_terms: D004781:Environmental Exposure; D004784:Environmental Monitoring; D007220:Industrial Waste; D008962:Models, Theoretical; D011640:Public Policy; D011786:Quality Control; D018570:Risk Assessment; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D007220:Industrial Waste; D014873:Water Pollutants