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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...

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Autores principales: Ribalta, Carla, López-Lilao, Ana, Fonseca, Ana Sofia, Jensen, Alexander Christian Østerskov, Jensen, Keld Alstrup, Monfort, Eliseo, Viana, Mar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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