Cefic-lri Programme | European Chemical Industry Council

Databases, Modelling & Validation

ECO10: EPOCH – Evaluation of existing population models for their potential application in ecological risk assessment of chemicals

The objective of the project is to provide a review of population models which can be directly used or which might be modified for the ecological risk assessment of chemicals (ERA). The main focus will be on the aquatic environment […]

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ECO14bis-UNT: Alternative methodology for standard laboratory fish bioconcentration tests

The overall goal of this project is to recommend a scientifically sound and defensible minimalized experimental design for fish bioconcentration measurement.  This experimental design will meet the "spirit" of the OECD 305 protocol producing key regulatory data, but ideally will […]

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ECO3A.2-USTO: Creation, Evaluation and Application of an Integrated Environmental Fate and Human Food Chain Bioaccumulation Model for Polar and Non-polar Organic Substances (IMPS)

The goals of the project are: To create a mechanistically based, non-steady state, chemical fate and bioaccumulation model to predict wildlife and human exposure to organic chemicals. To further develop this model to make it applicable to polar chemicals that […]

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ECO4-RIVO: MonitoringBase. Collation and Evaluation of Monitoring Programmes and Measured Environmental Concentration Data on Organic Chemicals in European Aquatic Environments

To facilitate retrieval of background concentrations and ranges of organic chemical concentrations in the marine and freshwater environment as input for various LRI models (e.g. multi-media, estuary models), ”MonitoringBase” was developed. This database includes information, references and links to more […]

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ECO3B-DELFT: Generic Estuary Modelling System to Evaluate Transport, Fate and Impact of Contaminants (GEMCO)

European estuarine and coastal waters may contain a range of organic and inorganic contaminants. Reliable methods are needed to assess how these behave in the three marine environmental compartments: offshore, estuarine and coastal zones. Transport and fate of contaminants in […]

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EEM6-TECH: Develop a Concept for Externalising Databases From Arcview Which is Needed for GREAT-ER 2.0 to Allow a Full Pan-European Development

GREAT-ER II is a software development project. GREAT-ER means Geography-referenced Regional Exposure Assessment Tool for European Rivers and uses a Geographic Information Systems (GIS) software for simulating substance distribution in river networks. The simulations output forms a basis on which […]

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EEM6-UCRA: Constructing a Sediment Exposure Module in GREAT-ER

Assessment of chemical exposure in sediments is part of the current TGD and is encapsulated in EUSES. In order to convince regulators that GREAT-ER provides an exposure assessment methodology which is at least equivalent to EUSES (in terms of sophistication) […]

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EEM6-INTE: Development of the GREAT-ER II Extension Sediment Exposure Module

Development of a Sediment Exposure Module as an extension to the GREAT-ER II software. The prediction of sediment concentrations of chemicals in freshwater is a requirement of the EU Risk assessment (EU TGD). The current GREAT-ER software only calculates total […]

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ECO3A-TUHH: MarSens – How Should We Deal with the Uncertainty in the Extrapolation of the Sensitivity of Marine Organisms to Narcotics? Critical Review of the State of the Art of Marine Risk Assessment and Recommendations for Future Research

The risk assessment of substances to the marine environment is linked with uncertainty due to several reasons, e.g. the marine environment encompasses a higher biodiversity than the freshwater environment. Moreover, the number of toxicity data on marine organisms for the […]

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EEM9-PGEU: Quantitative Structure-Activity Relationships software for data management

The software system will consist of functional modules allowing evaluation of the data stored in a database and various user interface modules. Compounds database will contain chemical structure, identifiers (including CAS numbers), imported descriptors and experimental data. The functional modules […]

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