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Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale
One- and two-box models have been pointed out as useful tools for modelling indoor particle exposure. However, model performance still needs further testing if they are to be implemented as trustworthy tools for exposure assessment. The objective of this work is to evaluate the performance, applicab...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471509/ https://www.ncbi.nlm.nih.gov/pubmed/34564352 http://dx.doi.org/10.3390/toxics9090201 |
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author | Ribalta, Carla López-Lilao, Ana Fonseca, Ana Sofia Jensen, Alexander Christian Østerskov Jensen, Keld Alstrup Monfort, Eliseo Viana, Mar |
author_facet | Ribalta, Carla López-Lilao, Ana Fonseca, Ana Sofia Jensen, Alexander Christian Østerskov Jensen, Keld Alstrup Monfort, Eliseo Viana, Mar |
author_sort | Ribalta, Carla |
collection | PubMed |
description | One- and two-box models have been pointed out as useful tools for modelling indoor particle exposure. However, model performance still needs further testing if they are to be implemented as trustworthy tools for exposure assessment. The objective of this work is to evaluate the performance, applicability and reproducibility of one- and two-box models on real-world industrial scenarios. A study on filling of seven materials in three filling lines with different levels of energy and mitigation strategies was used. Inhalable and respirable mass concentrations were calculated with one- and two-box models. The continuous drop and rotating drum methods were used for emission rate calculation, and ranges from a one-at-a-time methodology were applied for local exhaust ventilation efficiency and inter-zonal air flows. When using both dustiness methods, large differences were observed for modelled inhalable concentrations but not for respirable, which showed the importance to study the linkage between dustiness and processes. Higher model accuracy (ratio modelled vs. measured concentrations 0.5–5) was obtained for the two- (87%) than the one-box model (53%). Large effects on modelled concentrations were seen when local exhausts ventilation and inter-zonal variations where parametrized in the models. However, a certain degree of variation (10–20%) seems acceptable, as similar conclusions are reached. |
format | Online Article Text |
id | pubmed-8471509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84715092021-09-28 Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale Ribalta, Carla López-Lilao, Ana Fonseca, Ana Sofia Jensen, Alexander Christian Østerskov Jensen, Keld Alstrup Monfort, Eliseo Viana, Mar Toxics Article One- and two-box models have been pointed out as useful tools for modelling indoor particle exposure. However, model performance still needs further testing if they are to be implemented as trustworthy tools for exposure assessment. The objective of this work is to evaluate the performance, applicability and reproducibility of one- and two-box models on real-world industrial scenarios. A study on filling of seven materials in three filling lines with different levels of energy and mitigation strategies was used. Inhalable and respirable mass concentrations were calculated with one- and two-box models. The continuous drop and rotating drum methods were used for emission rate calculation, and ranges from a one-at-a-time methodology were applied for local exhaust ventilation efficiency and inter-zonal air flows. When using both dustiness methods, large differences were observed for modelled inhalable concentrations but not for respirable, which showed the importance to study the linkage between dustiness and processes. Higher model accuracy (ratio modelled vs. measured concentrations 0.5–5) was obtained for the two- (87%) than the one-box model (53%). Large effects on modelled concentrations were seen when local exhausts ventilation and inter-zonal variations where parametrized in the models. However, a certain degree of variation (10–20%) seems acceptable, as similar conclusions are reached. MDPI 2021-08-29 /pmc/articles/PMC8471509/ /pubmed/34564352 http://dx.doi.org/10.3390/toxics9090201 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ribalta, Carla López-Lilao, Ana Fonseca, Ana Sofia Jensen, Alexander Christian Østerskov Jensen, Keld Alstrup Monfort, Eliseo Viana, Mar Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale |
title | Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale |
title_full | Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale |
title_fullStr | Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale |
title_full_unstemmed | Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale |
title_short | Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale |
title_sort | evaluation of one- and two-box models as particle exposure prediction tools at industrial scale |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471509/ https://www.ncbi.nlm.nih.gov/pubmed/34564352 http://dx.doi.org/10.3390/toxics9090201 |
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