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

Eleftheria Chalvatzaki, Sofia Eirini Chatoutsidou, Susana Marta Almeida, Lidia Morawska and Mihalis Lazaridis ()
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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

IJERPH, 2023, vol. 20, issue 8, 1-14

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.

Keywords: personal dose; particulate matter; fixed monitoring station; school children (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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