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Factors affecting variability in gaseous and particle microenvironmental air pollutant concentrations in Hong Kong primary and secondary schools.
Che, Wenwei; Li, Alison T Y; Frey, Henry Christopher; Tang, Kimberly Tasha Jiayi; Sun, Li; Wei, Peng; Hossain, Md Shakhaoat; Hohenberger, Tilman Leo; Leung, King Wai; Lau, Alexis K H.
Afiliação
  • Che W; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Li ATY; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Frey HC; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Tang KTJ; Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA.
  • Sun L; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Wei P; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Hossain MS; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Hohenberger TL; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Leung KW; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Lau AKH; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
Indoor Air ; 31(1): 170-187, 2021 01.
Article em En | MEDLINE | ID: mdl-32731301
ABSTRACT
School-age children are particularly susceptible to exposure to air pollutants. To quantify factors affecting children's exposure at school, indoor and outdoor microenvironmental air pollutant concentrations were measured at 32 selected primary and secondary schools in Hong Kong. Real-time PM10 , PM2.5 , NO2, and O3 concentrations were measured in 76 classrooms and 23 non-classrooms. Potential explanatory factors related to building characteristics, ventilation practice, and occupant activities were measured or recorded. Their relationship with indoor measured concentrations was examined using mixed linear regression models. Ten factors were significantly associated with indoor microenvironmental concentrations, together accounting for 74%, 61%, 46%, and 38% of variations observed for PM2.5 , PM10 , O3, and NO2 microenvironmental concentrations, respectively. Outdoor concentration is the single largest predictor for indoor concentrations. Infiltrated outdoor air pollution contributes to 90%, 70%, 75%, and 50% of PM2.5 , PM10 , O3, and NO2 microenvironmental concentrations, respectively, in classrooms during school hours. Interventions to reduce indoor microenvironmental concentrations can be prioritized in reducing ambient air pollution and infiltration of outdoor pollution. Infiltration factors derived from linear regression models provide useful information on outdoor infiltration and help address the gap in generalizable parameter values that can be used to predict school microenvironmental concentrations.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Instituições Acadêmicas / Poluição do Ar em Ambientes Fechados / Poluentes Atmosféricos Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Instituições Acadêmicas / Poluição do Ar em Ambientes Fechados / Poluentes Atmosféricos Idioma: En Ano de publicação: 2021 Tipo de documento: Article