Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box Model
Impact
Scholar |
Other documents of the author: Ribalta, Carla; Koivisto, Antti Joonas; Salmatonidis, Apostolos; López Lilao, Ana; Monfort, Eliseo; Viana, Mar
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/176601
comunitat-uji-handle3:10234/176618
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box ModelAuthor (s)
Date
2019-05Publisher
MDPIBibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
https://www.mdpi.com/1660-4601/16/10/1695/htmVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Investigation project
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”.Rights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- ITC_Articles [79]
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).