Spatiotemporal Variations of Indoor PM 2.5 Concentrations in Nanjing, China

Zhijuan Shao, Xiangjun Yin, Jun Bi, Zongwei Ma and Jinnan Wang
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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
Zongwei Ma: State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
Jinnan Wang: State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China

IJERPH, 2019, vol. 16, issue 1, 1-17

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.

Keywords: indoor PM 2.5; indoor/outdoor ratio; CONTAM; health impact (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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