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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Human Health Effects Marine & Wildlife Policy & Risk Remediation Sign in to save

Environmental fate and exposure models: advances and challenges in 21<sup>st</sup> century chemical risk assessment

Environmental Science Processes & Impacts 2017 68 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Martin Scheringer Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Antonio Di Guardo, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Todd Gouin, Martin Scheringer Matthew MacLeod, Matthew MacLeod, Matthew MacLeod, Matthew MacLeod, Martin Scheringer Matthew MacLeod, Todd Gouin, Todd Gouin, Matthew MacLeod, Matthew MacLeod, Martin Scheringer Matthew MacLeod, Todd Gouin, Matthew MacLeod, Todd Gouin, Matthew MacLeod, Martin Scheringer Martin Scheringer Martin Scheringer Todd Gouin, Todd Gouin, Todd Gouin, Matthew MacLeod, Antonio Di Guardo, Todd Gouin, Antonio Di Guardo, Antonio Di Guardo, Martin Scheringer Antonio Di Guardo, Martin Scheringer Todd Gouin, Martin Scheringer Martin Scheringer Matthew MacLeod, Matthew MacLeod, Matthew MacLeod, Todd Gouin, Antonio Di Guardo, Antonio Di Guardo, Martin Scheringer Martin Scheringer Martin Scheringer Todd Gouin, Todd Gouin, Matthew MacLeod, Antonio Di Guardo, Martin Scheringer Martin Scheringer

Summary

This review examines how computational models are used to predict where chemicals — including nanomaterials and microplastics — end up in the environment, tracing 25 years of progress and identifying key remaining gaps. It highlights the ongoing need for better bioavailability estimates and calls for expert groups to help translate these scientific advances into regulatory policy.

Environmental fate and exposure models are a powerful means to integrate information on chemicals, their partitioning and degradation behaviour, the environmental scenario and the emissions in order to compile a picture of chemical distribution and fluxes in the multimedia environment. A 1995 pioneering book, resulting from a series of workshops among model developers and users, reported the main advantages and identified needs for research in the field of multimedia fate models. Considerable efforts were devoted to their improvement in the past 25 years and many aspects were refined; notably the inclusion of nanomaterials among the modelled substances, the development of models at different spatial and temporal scales, the estimation of chemical properties and emission data, the incorporation of additional environmental media and processes, the integration of sensitivity and uncertainty analysis in the simulations. However, some challenging issues remain and require research efforts and attention: the need of methods to estimate partition coefficients for polar and ionizable chemical in the environment, a better description of bioavailability in different environments as well as the requirement of injecting more ecological realism in exposure predictions to account for the diversity of ecosystem structures and functions in risk assessment. Finally, to transfer new scientific developments into the realm of regulatory risk assessment, we propose the formation of expert groups that compare, discuss and recommend model modifications and updates and help develop practical tools for risk assessment.

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