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Spatiotemporal Variations of Indoor PM 2.5 Concentrations in Nanjing, China

Author

Listed:
  • Zhijuan Shao

    (State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China)

  • Xiangjun Yin

    (Nanjing Urban Planning & Research Center, Nanjing 210029, China)

  • Jun Bi

    (State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
    Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Zongwei Ma

    (State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
    Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Jinnan Wang

    (State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
    State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environmental Planning, Beijing 100012, China)

Abstract

Indoor fine particulate matter (PM 2.5 ) is important since people spend most of their time indoors. However, knowledge of the spatiotemporal variations of indoor PM 2.5 concentrations within a city is limited. In this study, the spatiotemporal distributions of indoor PM 2.5 levels in Nanjing, China were modeled by the multizone airflow and contaminant transport program (CONTAM), based on the geographically distributed residences, human activities, and outdoor PM 2.5 concentrations. The accuracy of the CONTAM model was verified, with a good agreement between the model simulations and measurements (r = 0.940, N = 110). Two different scenarios were considered to examine the building performance and influence of occupant behaviors. Higher PM 2.5 concentrations were observed under the scenario when indoor activities were considered. Seasonal variability was observed in indoor PM 2.5 levels, with the highest concentrations occurring in the winter and the lowest occurring in the summer. Building characteristics have a significant effect on the spatial distribution of indoor PM 2.5 concentrations, with multistory residences being more vulnerable to outdoor PM 2.5 infiltration than high-rise residences. The overall population exposure to PM 2.5 in Nanjing was estimated. It would be overestimated by 16.67% if indoor exposure was not taken into account, which would lead to a bias in the health impacts assessment.

Suggested Citation

  • Zhijuan Shao & Xiangjun Yin & Jun Bi & Zongwei Ma & Jinnan Wang, 2019. "Spatiotemporal Variations of Indoor PM 2.5 Concentrations in Nanjing, China," IJERPH, MDPI, vol. 16(1), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:1:p:144-:d:195506
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