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Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box Model

Author

Listed:
  • Carla Ribalta

    (Institute of Environmental Assessment and Water Research (IDÆA-CSIC), C/ Jordi Girona 18, 08034 Barcelona, Spain
    Chemistry faculty, University of Barcelona, C/ de Martí i Franquès, 1–11, 08028 Barcelona, Spain)

  • Antti J. Koivisto

    (Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, PL 64, FI-00014 Helsinki, Finland
    Air Pollution Management, Willemoesgade 16, st tv, Copenhagen DK-2100, Denmark)

  • Apostolos Salmatonidis

    (Institute of Environmental Assessment and Water Research (IDÆA-CSIC), C/ Jordi Girona 18, 08034 Barcelona, Spain
    Chemistry faculty, University of Barcelona, C/ de Martí i Franquès, 1–11, 08028 Barcelona, Spain)

  • Ana López-Lilao

    (Institute of Ceramic Technology (ITC)- AICE - Universitat Jaume I, Campus Universitario Riu Sec, Av. Vicent Sos Baynat s/n, 12006 Castellón, Spain)

  • Eliseo Monfort

    (Institute of Ceramic Technology (ITC)- AICE - Universitat Jaume I, Campus Universitario Riu Sec, Av. Vicent Sos Baynat s/n, 12006 Castellón, Spain)

  • Mar Viana

    (Institute of Environmental Assessment and Water Research (IDÆA-CSIC), C/ Jordi Girona 18, 08034 Barcelona, Spain)

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. 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 × 10 4 –2.5 × 10 5 cm −3 . Estimated emission rates were comparable with both methods: 1.4 × 10 11 –1.2 × 10 13 min −1 (convolution) and 1.3 × 10 12 –1.4 × 10 13 min −1 (cyclic steady state). Modeled concentrations were 1.4-6 × 10 4 cm −3 (convolution) and 1.7–7.1 × 10 4 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.

Suggested Citation

  • Carla Ribalta & Antti J. Koivisto & Apostolos Salmatonidis & Ana López-Lilao & Eliseo Monfort & Mar Viana, 2019. "Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box Model," IJERPH, MDPI, vol. 16(10), pages 1-16, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1695-:d:231110
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    References listed on IDEAS

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    1. Jennifer Sahmel & Ken Unice & Paul Scott & Dallas Cowan & Dennis Paustenbach, 2009. "The Use of Multizone Models to Estimate an Airborne Chemical Contaminant Generation and Decay Profile: Occupational Exposures of Hairdressers to Vinyl Chloride in Hairspray During the 1960s and 1970s," Risk Analysis, John Wiley & Sons, vol. 29(12), pages 1699-1725, December.
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    Cited by:

    1. John William Cherrie & Wouter Fransman & Gerardus Antonius Henrikus Heussen & Dorothea Koppisch & Keld Alstrup Jensen, 2020. "Exposure Models for REACH and Occupational Safety and Health Regulations," IJERPH, MDPI, vol. 17(2), pages 1-8, January.

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