Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China
The highest concentration of PM2.5 in cold rural dwellings of Northeast China is often generated by using mini stoves for cooking and heating, which can directly influence human health. As of yet, little is known about the impact of different daily life behavior on PM2.5 diffusion and residents’ exp...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/12/8/1223 |
| _version_ | 1797411057052942336 |
|---|---|
| author | Xueyan Zhang Yiming Yang Guanhua Huang Bin Chen Yu Chen Joe R. Zhao Helen J. Sun |
| author_facet | Xueyan Zhang Yiming Yang Guanhua Huang Bin Chen Yu Chen Joe R. Zhao Helen J. Sun |
| author_sort | Xueyan Zhang |
| collection | DOAJ |
| description | The highest concentration of PM2.5 in cold rural dwellings of Northeast China is often generated by using mini stoves for cooking and heating, which can directly influence human health. As of yet, little is known about the impact of different daily life behavior on PM2.5 diffusion and residents’ exposure in rural dwellings. In this study, the characteristics of indoor PM2.5 variation and diffusion in rural dwellings was described by measuring some rural dwellings and establishing a multi-zone network model. The calculated results indicated that the relative errors between theoretical calculated results and experimental measured results are within 10%. PM2.5 diffusion in a rural dwelling can be predicted. Furthermore, the impacts of daily life behavior on PM2.5 diffusion and exposure assessment can be analyzed. Through discussion, heating behavior is the most important factor causing high concentrations of PM2.5 in each room, followed by cooking, smoking, and cleaning. Door opening time can lead to different interzonal airflows and PM2.5 diffusion rates. By reducing the inner door opening time to less than 1 min, PM2.5 could decrease to 300 μg/m<sup>3</sup>. Door closing behavior could decrease risk that PM2.5 diffuses to bedrooms by more than 50%, and exposure of residents in bedrooms could reduce to 100 (μg·h)/m<sup>3</sup> effectively. |
| first_indexed | 2024-03-09T04:39:29Z |
| format | Article |
| id | doaj.art-dd75194005cd4a04aff22e960b4b62ca |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-09T04:39:29Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-dd75194005cd4a04aff22e960b4b62ca2023-12-03T13:24:10ZengMDPI AGBuildings2075-53092022-08-01128122310.3390/buildings12081223Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of ChinaXueyan Zhang0Yiming Yang1Guanhua Huang2Bin Chen3Yu Chen4Joe R. Zhao5Helen J. Sun6School of Civil Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Hydraulic and Civil Engineering, Zhengzhou University, Zhengzhou 450000, ChinaTri-Y Environmental Research Institute, 2655 Lillooet St., Vancouver, BC V5M 4P7, CanadaTri-Y Environmental Research Institute, 2655 Lillooet St., Vancouver, BC V5M 4P7, CanadaThe highest concentration of PM2.5 in cold rural dwellings of Northeast China is often generated by using mini stoves for cooking and heating, which can directly influence human health. As of yet, little is known about the impact of different daily life behavior on PM2.5 diffusion and residents’ exposure in rural dwellings. In this study, the characteristics of indoor PM2.5 variation and diffusion in rural dwellings was described by measuring some rural dwellings and establishing a multi-zone network model. The calculated results indicated that the relative errors between theoretical calculated results and experimental measured results are within 10%. PM2.5 diffusion in a rural dwelling can be predicted. Furthermore, the impacts of daily life behavior on PM2.5 diffusion and exposure assessment can be analyzed. Through discussion, heating behavior is the most important factor causing high concentrations of PM2.5 in each room, followed by cooking, smoking, and cleaning. Door opening time can lead to different interzonal airflows and PM2.5 diffusion rates. By reducing the inner door opening time to less than 1 min, PM2.5 could decrease to 300 μg/m<sup>3</sup>. Door closing behavior could decrease risk that PM2.5 diffuses to bedrooms by more than 50%, and exposure of residents in bedrooms could reduce to 100 (μg·h)/m<sup>3</sup> effectively.https://www.mdpi.com/2075-5309/12/8/1223traditional heating systemsrural dwellingsPM2.5 diffusionmulti-zone network modeldaily life behaviorexposure |
| spellingShingle | Xueyan Zhang Yiming Yang Guanhua Huang Bin Chen Yu Chen Joe R. Zhao Helen J. Sun Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China Buildings traditional heating systems rural dwellings PM2.5 diffusion multi-zone network model daily life behavior exposure |
| title | Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China |
| title_full | Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China |
| title_fullStr | Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China |
| title_full_unstemmed | Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China |
| title_short | Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China |
| title_sort | diffusion characteristics of pm2 5 in rural dwelling under different daily life behavior a case study in rural shenyang of china |
| topic | traditional heating systems rural dwellings PM2.5 diffusion multi-zone network model daily life behavior exposure |
| url | https://www.mdpi.com/2075-5309/12/8/1223 |
| work_keys_str_mv | AT xueyanzhang diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina AT yimingyang diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina AT guanhuahuang diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina AT binchen diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina AT yuchen diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina AT joerzhao diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina AT helenjsun diffusioncharacteristicsofpm25inruraldwellingunderdifferentdailylifebehavioracasestudyinruralshenyangofchina |