Health impact reduction design strategies according to the circulation pattern of indoor PM <sub>2.5</sub> using computational fluid dynamics models

Humans spend approximately 80% of their lifetime indoors, exposing themselves to indoor pollutants for prolonged periods. There has been considerable focus on outdoor and indoor air pollution sources in academic research. However, the mechanism of PM 2.5 (particulate matter with a diameter of 2.5 µm or less) diffusion from outdoors to indoors, which governs indoor PM 2.5 distribution, has been significantly overlooked. Human behaviours, particularly window opening habits, have a critical impact on the distribution of indoor PM 2.5 concentration. We investigated the distribution of indoor PM 2.5 under different natural ventilation conditions; furthermore, we quantified the health risks associated with PM 2.5 inhalation. The results showed that natural ventilation modes have a substantial influence on the distribution of indoor PM 2.5 through the vortex end of airflows, especially at different window opening angles. The thermal convection effect induced by radiators shifts indoor airflow, resulting in altered distribution of dust PM 2.5 during winter. The excess carcinogenic risk for children due to indoor PM 2.5 exposure during non-heating periods was higher for boys (1.12 × 10 −6 ) as compared to girls (1.05 × 10 −6 ). This study provides a useful perspective on the health effects of indoor PM 2.5 pollution caused by dust aerosols on low-income groups.

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Publication Details

Journal
Indoor and Built Environment
Published
2025-03-25
DOI
https://doi.org/10.1177/1420326x251324368
Citations
2
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
1.60

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article

Health impact reduction design strategies according to the circulation pattern of indoor PM 2.5 using computational fluid dynamics models

Ketong Chen, Yun Hang, Siyu Chen, Chuwei Liu et al.
2 citations
Indoor and Built Environment
Air Quality Monitoring and Forecasting
1.60
article

Health impact reduction design strategies according to the circulation pattern of indoor PM 2.5 using computational fluid dynamics models

Ketong Chen, Yun Hang, Siyu Chen, Chuwei Liu, Runbin Zhang
article en
2 citations

Abstract

Humans spend approximately 80% of their lifetime indoors, exposing themselves to indoor pollutants for prolonged periods. There has been considerable focus on outdoor and indoor air pollution sources in academic research. However, the mechanism of PM 2.5 (particulate matter with a diameter of 2.5 µm or less) diffusion from outdoors to indoors, which governs indoor PM 2.5 distribution, has been significantly overlooked. Human behaviours, particularly window opening habits, have a critical impact on the distribution of indoor PM 2.5 concentration. We investigated the distribution of indoor PM 2.5 under different natural ventilation conditions; furthermore, we quantified the health risks associated with PM 2.5 inhalation. The results showed that natural ventilation modes have a substantial influence on the distribution of indoor PM 2.5 through the vortex end of airflows, especially at different window opening angles. The thermal convection effect induced by radiators shifts indoor airflow, resulting in altered distribution of dust PM 2.5 during winter. The excess carcinogenic risk for children due to indoor PM 2.5 exposure during non-heating periods was higher for boys (1.12 × 10 −6 ) as compared to girls (1.05 × 10 −6 ). This study provides a useful perspective on the health effects of indoor PM 2.5 pollution caused by dust aerosols on low-income groups.

Indoor and Built EnvironmentVol. 34(4)
Emory University (US), Lanzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Air Quality Monitoring and Forecasting
1.60
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Health impact reduction design strategies according to the circulation pattern of indoor PM <sub>2.5</sub> using computational fluid dynamics models — Ketong Chen, Yun Hang, et al. · Indoor and Built Environment (2025) | TGRS Research Map | TGRS