articleEnvironmental Science & TechnologyApr 4, 2016HYBRID OA

Dynamic Probabilistic Modeling of Environmental Emissions of Engineered Nanomaterials

ETH Zurich · Institute for Biomedical Engineering · +3 more institutions

PubMed
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Abstract

The need for an environmental risk assessment for engineered nanomaterials (ENM) necessitates the knowledge about their environmental concentrations. Despite significant advances in analytical methods, it is still not possible to measure the concentrations of ENM in natural systems. Material flow and environmental fate models have been used to provide predicted environmental concentrations. However, almost all current models are static and consider neither the rapid development of ENM production nor the fact that many ENM are entering an in-use stock and are released with a lag phase. Here we use dynamic probabilistic material flow modeling to predict the flows of four ENM (nano-TiO2, nano-ZnO, nano-Ag and…

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