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Bayesian network as a support tool for rapid query of the environmental multimedia distribution of nanomaterials

Bayesian network as a support tool for rapid query of the environmental multimedia distribution of nanomaterials

Authors :
Muhammad Bilal
Haven Liu
Yoram Cohen
Rong Liu
Source :
Nanoscale. 9:4162-4174
Publication Year :
2017
Publisher :
Royal Society of Chemistry (RSC), 2017.

Abstract

An approach is presented describing the development of a Bayesian network (BN) based tool for rapid assessment of the distribution of engineered nanomaterials (ENMs). The methodology was demonstrated via the construction of a BN model for estimating the exposure concentrations of nanomaterials (BN-nanoExpo) based on simulation data derived from a mechanistic multimedia compartmental fate and transport model. The results of simulations of the distribution of six ENMs in eight different regions were generated for a broad range of geographical and meteorological parameters as well as ENM release rates to the air, water and soil major compartments. Test cases with the constructed BN-nanoExpo demonstrated the capability of the BN based model to portray a wide range of simulation results that can be obtained with the mechanistic fate and transport model. Moreover, BN-nanoExpo is shown to be a suitable tool for estimating both ENM concentrations and release rates given partial information, while also enabling assessment of the impact of uncertainties in input data on the predicted outcomes. The results of the current study suggest that there is merit in exploring the utility of the approach to more complex models, which would provide decision makers with powerful tools for rapid assessment of the behavior of nanomaterials in the environment.

Details

ISSN :
20403372 and 20403364
Volume :
9
Database :
OpenAIRE
Journal :
Nanoscale
Accession number :
edsair.doi.dedup.....60db5b4a88a38060584c3cf3de86a956
Full Text :
https://doi.org/10.1039/c6nr08583k