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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Main Authors: Carla Ribalta, Ana López-Lilao, Ana Sofia Fonseca, Alexander Christian Østerskov Jensen, Keld Alstrup Jensen, Eliseo Monfort, Mar Viana
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Toxics
Subjects:
Online Access:https://www.mdpi.com/2305-6304/9/9/201
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author Carla Ribalta
Ana López-Lilao
Ana Sofia Fonseca
Alexander Christian Østerskov Jensen
Keld Alstrup Jensen
Eliseo Monfort
Mar Viana
author_facet Carla Ribalta
Ana López-Lilao
Ana Sofia Fonseca
Alexander Christian Østerskov Jensen
Keld Alstrup Jensen
Eliseo Monfort
Mar Viana
author_sort Carla Ribalta
collection DOAJ
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 doaj.art-536b325c3c4149dc971f7bf5aae3836b2023-12-03T13:22:10ZengMDPI AGToxics2305-63042021-08-019920110.3390/toxics9090201Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial ScaleCarla Ribalta0Ana López-Lilao1Ana Sofia Fonseca2Alexander Christian Østerskov Jensen3Keld Alstrup Jensen4Eliseo Monfort5Mar Viana6The National Research Center for Work Environment (NRCWE), DK-2100 Copenhagen, DenmarkInstitute of Ceramic Technology (ITC)-AICE, Campus Universitario Riu Sec, Universitat Jaume I, 12006 Castellón, SpainThe National Research Center for Work Environment (NRCWE), DK-2100 Copenhagen, DenmarkThe National Research Center for Work Environment (NRCWE), DK-2100 Copenhagen, DenmarkThe National Research Center for Work Environment (NRCWE), DK-2100 Copenhagen, DenmarkInstitute of Ceramic Technology (ITC)-AICE, Campus Universitario Riu Sec, Universitat Jaume I, 12006 Castellón, SpainInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), 08034 Barcelona, SpainOne- 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.https://www.mdpi.com/2305-6304/9/9/201mass-balance modelsoccupational exposuredustiness indexhandling energy factorindoor aerosol modellingemission rate
spellingShingle Carla Ribalta
Ana López-Lilao
Ana Sofia Fonseca
Alexander Christian Østerskov Jensen
Keld Alstrup Jensen
Eliseo Monfort
Mar Viana
Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale
Toxics
mass-balance models
occupational exposure
dustiness index
handling energy factor
indoor aerosol modelling
emission rate
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 mass-balance models
occupational exposure
dustiness index
handling energy factor
indoor aerosol modelling
emission rate
url https://www.mdpi.com/2305-6304/9/9/201
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