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Published on: January 20, 2023
Environmental persistence of chemicals
1Canadian Environmental Modelling Centre, Trent University, Peterborough, Ontario, K9J 7B8, Canada. dmackay@trentu.ca
Estimating chemical persistence in the environment requires models that consider degradation, partitioning, and release. Average residence time is a preferred criterion, with Level II, III, and IV models offering comprehensive insights.
Area of Science:
- Environmental Chemistry
- Chemical Risk Assessment
- Environmental Modeling
Background:
- Persistence is a key environmental hazard criterion for chemicals.
- Direct measurement of environmental persistence is not feasible.
- Persistence estimation relies on models integrating half-lives, partitioning, environmental characteristics, and release scenarios.
Purpose of the Study:
- To review and discuss the hazard criterion of persistence in environmental chemistry.
- To propose a preferred method for estimating chemical persistence.
- To evaluate the utility of different environmental fate models for persistence assessment.
Main Methods:
- The study proposes average residence time as the preferred persistence criterion.
- It analyzes how degradation kinetics, mode-of-entry, and partitioning influence multimedia environmental persistence.
- The suitability of Level II, III, and IV environmental fate models for persistence estimation is examined.
Main Results:
- Average residence time is independent of chemical quantity and introduction type (steady- or unsteady-state) if processes are first-order.
- Multimedia persistence is influenced by degradation, entry mode, and partitioning.
- Level II models suffice for screening, Level III for average persistence, and Level IV for persistence distribution.
Conclusions:
- Regulating chemicals based on persistence requires sophisticated modeling.
- Using only degradation kinetics or media-specific half-lives can be misleading and inefficient.
- A strategy employing Level II, III, and IV models is recommended for accurate and economical persistence assessment.
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