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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
- 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.
- Subjects :
- Multimedia
Computer science
Engineered nanomaterials
Bayesian network
02 engineering and technology
010501 environmental sciences
021001 nanoscience & nanotechnology
computer.software_genre
01 natural sciences
Rapid assessment
Test case
Range (statistics)
General Materials Science
Data mining
0210 nano-technology
computer
0105 earth and related environmental sciences
Subjects
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