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A probabilistic modeling framework developed within the ENCORE project assesses chemical risk to aquatic ecosystems at the European watershed level. The 4.1 MB file contains a pilot study using a subset of pesticides in Belgium to test a Bayesian network that integrates process-based simulation data with monitoring data from the Waterbase Water Quality dataset. This proof-of-concept, authored by Sophie Mentzel and last updated in May 2026, aims to identify high-risk chemicals by accounting for spatial and temporal exposure patterns.
Primary data is in a DOCX document format, which may not be immediately machine-readable for analysis.