A novel model for regional indoor PM2.5 quantification with both external and internal contributions included
PM2.5 (particulate matter with an aerodynamic size ≤ 2.5 μm) of indoor origins is a dominant contributor to the overall air pollution exposure. Although some sophisticated models have been developed to simulate indoor air quality for individual households, it is still challenging to quantify indoor...
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Series: | Environment International |
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doaj-ebb708219c2540759bd36ea307de1d5d2020-11-25T03:50:45ZengElsevierEnvironment International0160-41202020-12-01145106124A novel model for regional indoor PM2.5 quantification with both external and internal contributions includedCengxi Lu0Haoran Xu1Wenjun Meng2Weiying Hou3Wenxiao Zhang4Guofeng Shen5Hefa Cheng6Xuejun Wang7Xilong Wang8Shu Tao9College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaCorresponding author.; College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, ChinaPM2.5 (particulate matter with an aerodynamic size ≤ 2.5 μm) of indoor origins is a dominant contributor to the overall air pollution exposure. Although some sophisticated models have been developed to simulate indoor air quality for individual households, it is still challenging to quantify indoor PM2.5 on a regional scale, which is critical for health impact assessments. In this study, a new model was developed to predict indoor PM2.5 concentrations by quantifying the external penetration, as well as the internal contributions. The model was parameterized based on a set of simultaneously measured indoor and outdoor PM2.5 concentrations at five-second temporal resolution for 53 households in Beijing. This study found that indoor PM2.5 concentrations were significantly correlated with those in the outdoor environment with an approximately 1-h lag-time on average. Outdoor-to-indoor penetration dominated the contribution to indoor PM2.5 during polluted hours with relatively high ambient PM2.5 concentrations, while the indoor PM2.5, during clean hours, was contributed by internal sources, including smoking, cooking, incense burning, and human disturbance. The influence of windows, house area, and air purifier use was addressed in the new model. The model was applied to evaluate indoor PM2.5 concentrations in six urban districts of Beijing via an uncertainty analysis. The model was developed based on and applied to households using clean residential energy, and it would be interesting also important to evaluate it in households using solid fuels.http://www.sciencedirect.com/science/article/pii/S0160412020320791 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cengxi Lu Haoran Xu Wenjun Meng Weiying Hou Wenxiao Zhang Guofeng Shen Hefa Cheng Xuejun Wang Xilong Wang Shu Tao |
spellingShingle |
Cengxi Lu Haoran Xu Wenjun Meng Weiying Hou Wenxiao Zhang Guofeng Shen Hefa Cheng Xuejun Wang Xilong Wang Shu Tao A novel model for regional indoor PM2.5 quantification with both external and internal contributions included Environment International |
author_facet |
Cengxi Lu Haoran Xu Wenjun Meng Weiying Hou Wenxiao Zhang Guofeng Shen Hefa Cheng Xuejun Wang Xilong Wang Shu Tao |
author_sort |
Cengxi Lu |
title |
A novel model for regional indoor PM2.5 quantification with both external and internal contributions included |
title_short |
A novel model for regional indoor PM2.5 quantification with both external and internal contributions included |
title_full |
A novel model for regional indoor PM2.5 quantification with both external and internal contributions included |
title_fullStr |
A novel model for regional indoor PM2.5 quantification with both external and internal contributions included |
title_full_unstemmed |
A novel model for regional indoor PM2.5 quantification with both external and internal contributions included |
title_sort |
novel model for regional indoor pm2.5 quantification with both external and internal contributions included |
publisher |
Elsevier |
series |
Environment International |
issn |
0160-4120 |
publishDate |
2020-12-01 |
description |
PM2.5 (particulate matter with an aerodynamic size ≤ 2.5 μm) of indoor origins is a dominant contributor to the overall air pollution exposure. Although some sophisticated models have been developed to simulate indoor air quality for individual households, it is still challenging to quantify indoor PM2.5 on a regional scale, which is critical for health impact assessments. In this study, a new model was developed to predict indoor PM2.5 concentrations by quantifying the external penetration, as well as the internal contributions. The model was parameterized based on a set of simultaneously measured indoor and outdoor PM2.5 concentrations at five-second temporal resolution for 53 households in Beijing. This study found that indoor PM2.5 concentrations were significantly correlated with those in the outdoor environment with an approximately 1-h lag-time on average. Outdoor-to-indoor penetration dominated the contribution to indoor PM2.5 during polluted hours with relatively high ambient PM2.5 concentrations, while the indoor PM2.5, during clean hours, was contributed by internal sources, including smoking, cooking, incense burning, and human disturbance. The influence of windows, house area, and air purifier use was addressed in the new model. The model was applied to evaluate indoor PM2.5 concentrations in six urban districts of Beijing via an uncertainty analysis. The model was developed based on and applied to households using clean residential energy, and it would be interesting also important to evaluate it in households using solid fuels. |
url |
http://www.sciencedirect.com/science/article/pii/S0160412020320791 |
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