IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i8p5564-d1126249.html
   My bibliography  Save this article

The Representativeness of Outdoor Particulate Matter Concentrations for Estimating Personal Dose and Health Risk Assessment of School Children in Lisbon

Author

Listed:
  • Eleftheria Chalvatzaki

    (School of Chemical and Environmental Engineering, Technical University of Crete, Chania 73100, Greece)

  • Sofia Eirini Chatoutsidou

    (School of Chemical and Environmental Engineering, Technical University of Crete, Chania 73100, Greece)

  • Susana Marta Almeida

    (Centro de Ciências Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, Estrada Nacional 10, Km 139.7, 2695-066 Bobadela LRS, Portugal)

  • Lidia Morawska

    (School of Earth and Atmospheric Sciences, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia)

  • Mihalis Lazaridis

    (School of Chemical and Environmental Engineering, Technical University of Crete, Chania 73100, Greece)

Abstract

This study investigated the suitability of outdoor particulate matter data obtained from a fixed monitoring station in estimating the personal deposited dose. Outdoor data were retrieved from a station located within the urban area of Lisbon and simulations were performed involving school children. Two scenarios were applied: one where only outdoor data were used assuming an outdoor exposure scenario, and a second one where an actual exposure scenario was adopted using the actual microenvironment during typical school days. Personal PM 10 and PM 2.5 dose (actual exposure scenario) was 23.4% and 20.2% higher than the ambient (outdoor exposure scenario) PM 10 and PM 2.5 doses, respectively. The incorporation of the hygroscopic growth in the calculations increased the ambient dose of PM 10 and PM 2.5 by 8.8% and 21.7%, respectively. Regression analysis between the ambient and personal dose showed no linearity with R 2 at 0.07 for PM 10 and 0.22 for PM 2.5 . On the other hand, linear regression between the ambient and school indoor dose showed no linearity (R 2 = 0.01) for PM 10 but moderate (R 2 = 0.48) for PM 2.5 . These results demonstrate that ambient data must be used with caution for the representativeness of a realistic personal dose of PM 2.5 while for PM 10 the ambient data cannot be used as a surrogate of a realistic personal dose of school children.

Suggested Citation

  • Eleftheria Chalvatzaki & Sofia Eirini Chatoutsidou & Susana Marta Almeida & Lidia Morawska & Mihalis Lazaridis, 2023. "The Representativeness of Outdoor Particulate Matter Concentrations for Estimating Personal Dose and Health Risk Assessment of School Children in Lisbon," IJERPH, MDPI, vol. 20(8), pages 1-14, April.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:8:p:5564-:d:1126249
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/8/5564/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/8/5564/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:8:p:5564-:d:1126249. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.