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Residential indoor and personal PM10 exposures of ambient origin based on chemical components.
Xu, Jia; Bai, Zhipeng; You, Yan; Zhou, Jian; Zhang, Jiefeng; Niu, Can; Liu, Yating; Zhang, Nan; He, Fei; Ding, Xiao.
Afiliação
  • Xu J; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Bai Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
  • You Y; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Zhou J; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Zhang J; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Niu C; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Liu Y; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Zhang N; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • He F; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
  • Ding X; College of Environmental Science and Engineering, Nankai University, Tianjin, China.
J Expo Sci Environ Epidemiol ; 24(4): 428-36, 2014 Jul.
Article em En | MEDLINE | ID: mdl-24802553
ABSTRACT
Many studies have focused on the relationships of particulate matter between indoor, outdoor and personal exposure; however, considerable uncertainties remain regarding the portion of indoor particles and personal exposure of ambient origin. As part of the Particle Exposure Assessment for Community Elderly (PEACE) study in Tianjin, China, we have further interpreted the relationships between personal, residential indoor, outdoor and community PM10 (particulate matter with aerodynamic diameters of less than 10 µm). Comparisons of the chemical compositions of PM10 samples were performed using the coefficient of divergence (COD). A robust regression method, least-trimmed squared (LTS) regression, was used to estimate the infiltration factors of PM10 from residential outdoor to indoor environments based on the particulate component concentrations. Personal exposures of ambient origin were also estimated. A relatively good correlation was found between the personal and indoor PM10 samples with respect to chemical composition. The infiltration factors (Finf) of the residential indoor-outdoor PM10 were 0.74±0.31 (mean±SD) in summer and 0.44±0.22 in winter, with medians of 0.98 and 0.48, respectively. The residential outdoor contributions to the indoor environments were 87±55 µg/m(3) in summer and 80±54 µg/m(3) in winter, with medians of 75 µg/m(3) and 61 µg/m(3), respectively. The personal exposures of ambient origin were 92±44 µg/m(3) in summer and 89±47 µg/m(3) in winter, with medians of 81 µg/m(3) and 80 µg/m(3), respectively. This study indicated that the infiltrations in an urbanized area in North China exhibited a seasonal difference the residential outdoor contributions to residential indoor environments were larger in summer due to the higher use of natural ventilation. The personal exposures of ambient origin were comparable during the different seasons, whereas those of non-ambient origin were higher in summer than in winter.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluição do Ar em Ambientes Fechados / Exposição Ambiental / Material Particulado Limite: Aged / Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluição do Ar em Ambientes Fechados / Exposição Ambiental / Material Particulado Limite: Aged / Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article