WP6: Risks and Mitigation
6.1. Develop and apply a probabilistic models for risk assessment of agricultural chemicals under current and future GC scenarios.
6.2. Apply probabilistic models for assessment of pharmaceuticals and personal care products (PPCP) from waste water emissions under current and future GC scenarios.
6.3. Assess the effectiveness of different mitigation options to improve future waste water quality.
|Description of Work and Role of Specific Beneficiaries / Partner Organisations
WP6 will assess the risk of emerging chemicals from agricultural and urban sources, separately and in mixtures, under current and future scenarios. Hazard/risk quotient derivation will be used for quantitative risk assessments based on results from WP4 (Exposure) and WP5 (Effects). A probabilistic modelling approach (Bayesian network – BN) will be applied to integrate the risk assessments with future global change scenarios (WP3), as well as with effects of mitigation measures. The BN approach will also be used to address uncertainty associated with emerging chemicals, throughout the causal chain from scenarios to biological effects. While the general modelling approach will be applicable for all results from ECORISK2050, specific models will be adapted risk assessment for geographic regions and specific chemical types (pesticides (ESR11; NIVA); urban chemicals (ESR12; NIVA)) and for assessment of mitigation measures and backcasting (ESR13; UU). Partner organisations will contribute to assessment of combined toxicity and cumulative hazard (NIBIO) and to evaluation of mitigation options (KWR).
|Description of Deliverables
6.1 Risk assessment model (Bayesian network) for agricultural chemicals developed for one of the case study regions
6.2 Prioritisation of pharmaceuticals and PHCP which pose highest risk
6.3 Robust implementation of mitigation strategies to close the gap to a non-toxic environment in 2050