ARCHE Consulting, NIVA, and Deltares are embarking on a cutting-edge project focused on next-generation risk assessment methods for chemical co-exposure in the environment.
ENCORE: Tackling Chemical Co-Exposure Risks
ENCORE - ENvironmental CO-exposure and Risk Estimation
ARCHE Consulting, NIVA, and Deltares are collaborating on a novel project to develop risk assessment methods for chemical co-exposure in the environment. Supported by the Cefic-LRI initiative, this ambitious project incorporates new principles set by the EU Commission’s Chemicals Strategy for Sustainability (CSS) and directly aligns with the Green Deal’s objectives.
Why this matters?
Traditional chemical risk assessments often evaluate substances individually, overlooking the risks posed by combined exposures to multiple chemicals. Co-exposures can lead to environmental (aquatic) risks that current methods struggle to predict effectively. Our project aims to change that by developing a probabilistic modelling framework to identify priority chemicals contributing to co-exposure risks at the watershed level.
What sets this project apart?
- Advanced Data Integration:
We’re collecting comprehensive input data, including contribution of legacy chemicals, spatially specific emissions, and hazard data from multiple sources, to enhance the accuracy of our predictions. - Bayesian Network Modelling:
By integrating monitoring data with environmental fate modelling, we’ll create a probabilistic framework capable of quantifying uncertainties and refining risk assessments dynamically. - Chemical Prioritization:
Our approach will identify chemicals most responsible for co-exposure risks, helping regulators and stakeholders to take the most effective measures.
By combining probabilistic modelling techniques, robust data collection, and the power of collaboration, we aim to push the boundaries of chemical risk assessment and contribute to a safer, more sustainable environment.
This project is a collaboration between ARCHE Consulting, NIVA and Deltares. These partners bring their expertise in probabilistic risk assessment, co-exposure risks and fate modelling to ensure the project’s success.
