Evaluation of one-and two-box models as particle exposure prediction tools at industrial scale
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Other documents of the author: Ribalta, Carla; López Lilao, Ana; Fonseca, Ana Sofía; Jensen, Alexander Christian Østerskov; Jensen, Keld Alstrup; Monfort, Eliseo; Viana, Mar
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comunitat-uji-handle2:10234/7033
comunitat-uji-handle3:10234/8618
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Title
Evaluation of one-and two-box models as particle exposure prediction tools at industrial scaleAuthor (s)
Date
2021-09-01Publisher
Multidisciplinary Digital Publishing InstituteISSN
2305-6304Bibliographic citation
Ribalta, C.; López-Lilao, A.; Fonseca, A.S.; Jensen, A.C.Ø.; Jensen, K.A.; Monfort, E.; Viana, M. Evaluation of One- and Two-Box Models as Particle Exposure Prediction Tools at Industrial Scale. Toxics 2021, 9, 201. https:// doi.org/10.3390/toxics9090201Type
info:eu-repo/semantics/articlePublisher version
https://www.mdpi.com/2305-6304/9/9/201Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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 ... [+]
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. [-]
Is part of
Toxics 2021, 9, 201. Núm. especial: Advanced Modeling Tools for Occupational and Consumer Exposure AssessmentProject code
CGL2015-66777-C2-2-R
Project title or grant
Predicción de emisiones y exposición a partículas micro y nanométricas en ambientes industriales. Desarrollos de modelos de predicción del poder de emisión de PMY NP
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info:eu-repo/semantics/openAccess
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