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Carla Ribalta

Biographic Data

ID7869476
NAMECarla Ribalta
GIVEN NAMESCarla
FAMILY NAMERibalta
SIGNATURERIBALTA C
AFFILIATIONSInstitute of Environmental Assessment and Water Research
ORCID0000-0002-0842-5842
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX0
  • Modeling of High Nanoparticle Exposure in an Indoor Industrial Scenario with a One-Box Model

    Open Access•Carla Ribalta, Antti Joonas Koivisto et al.•ARTICLE•International Journal of…•2019

    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 met…

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

    Open Access•Carla Ribalta, Antti Joonas Koivisto et al.•ARTICLE•International Journal of…•2019

    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 met…

Air Quality and Health Impacts (1 work) · Atmospheric sciences (1 work) · Box model (1 work) · Computer Science (1 work) · Environmental health (1 work) · Environmental Impact and Sustainability (1 work) · Environmental Science (1 work) · Medicine (1 work) · Occupational exposure (1 work) · Physics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae