Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box Model
Impacto
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Otros documentos de la autoría: Ribalta, Carla; Koivisto, Antti Joonas; Salmatonidis, Apostolos; López Lilao, Ana; Monfort, Eliseo; Viana, Mar
Metadatos
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comunitat-uji-handle2:10234/176601
comunitat-uji-handle3:10234/176618
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INVESTIGACIONMetadatos
Título
Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box ModelAutoría
Fecha de publicación
2019-05Editor
MDPICita bibliográfica
RIBALTA, Carla, et al. Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box Model. International journal of environmental research and public health, 2019, 16.10: 1695.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/1660-4601/16/10/1695/htmVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Mass balance models have proved to be effective tools for exposure prediction in occupational settings. However, they are still not extensively tested in real-world scenarios, or for particle number concentrations. ... [+]
Mass balance models have proved to be effective tools for exposure prediction in occupational settings. However, they are still not extensively tested in real-world scenarios, or for particle number concentrations. An industrial scenario characterized by high emissions of unintentionally-generated nanoparticles (NP) was selected to assess the performance of a one-box model. Worker exposure to NPs due to thermal spraying was monitored, and two methods were used to calculate emission rates: the convolution theorem, and the cyclic steady state equation. Monitored concentrations ranged between 4.2 × 104–2.5 × 105 cm−3. Estimated emission rates were comparable with both methods: 1.4 × 1011–1.2 × 1013 min−1 (convolution) and 1.3 × 1012–1.4 × 1013 min−1 (cyclic steady state). Modeled concentrations were 1.4-6 × 104 cm−3 (convolution) and 1.7–7.1 × 104 cm−3 (cyclic steady state). Results indicated a clear underestimation of measured particle concentrations, with ratios modeled/measured between 0.2–0.7. While both model parametrizations provided similar results on average, using convolution emission rates improved performance on a case-by-case basis. Thus, using cyclic steady state emission rates would be advisable for preliminary risk assessment, while for more precise results, the convolution theorem would be a better option. Results show that one-box models may be useful tools for preliminary risk assessment in occupational settings when room air is well mixed. [-]
Proyecto de investigación
Spanish MINECO (CGL2015-66777-C2–1-R, 2-R), and through project PCIN-2015–173-C02-01, under the frame of SIINN, the ERA-NET for a Safe Implementation of Innovative Nanoscience and Nanotechnology, by SIINN-ERANET project CERASAFE (id.:16). Additional support was provided by Generalitat de Catalunya AGAUR 2017 SGR41, the Spanish Ministry of the Environment (13CAES006), FEDER (European Regional Development Fund) “Una manera de hacer Europa”.Derechos de acceso
info:eu-repo/semantics/openAccess
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