Models for Calculating Predicted Environmental Concentrations (PEC) of Pesticides in Surface Waters: Review, Selection Criteria, and Recommendations for Regulatory Applications
Abstract Accurate estimation of predicted environmental concentrations in surface waters (PECsw) is central to regulatory environmental risk assessment of plant protection products (PPPs). This review compiles and evaluates computational tools used to derive PECsw, based on the OECD overview of regulatory exposure models and expert appraisal. We synthesise each model’s conceptual design (entry routes via runoff/erosion, drainage, spray drift, atmospheric deposition), hydrological and water-body representations, mandatory inputs, and tiering suitability. Cross-model comparison highlights that parameterisation of sorption and degradation dominates PEC uncertainty; conservative inputs at lower tiers can overpredict exposure, necessitating higher-tier, scenario-realistic simulations. Good practices include documenting parameter sources, using “realistic worst case” scenarios, and reporting both initial and time-weighted PEC metrics. The review provides a clear description of the properties of calculation models and highlights their strengths and weaknesses.
Authors
- Marta Kijeńska (ORCID: https://orcid.org/0000-0002-5191-4318)
- Izabela Samson-Bręk (ORCID: https://orcid.org/0000-0002-3082-5703)
- R. Kalinowski (ORCID: https://orcid.org/0000-0002-0287-2094)
- Marta Gabryszewska (ORCID: https://orcid.org/0000-0001-9440-7634)
- Barbara Gworek (ORCID: https://orcid.org/0000-0002-2368-5888)
- Magdalena Graniewska
- Adriana Solecka
- Beata Kubiak
Institutions
- Advisory Board Company (United States) (US)
- Institute of Environmental Protection (PL)
- Radikal Therapeutics (US)
Publication Details
- Journal
- Ochrona Srodowiska i Zasobów Naturalnych - Environmental Protection and Natural Resources
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2478/oszn-2025-0020
- Primary Topic
- Environmental Toxicology and Ecotoxicology
- Type
- article
- Field-Weighted Citation Impact
- 0.00