Comparison of the Application of Three Methods for the Determination of Outdoor PM2.5 Design Concentrations for Fresh Air Filtration Systems in China
Bibliographic Data
| ID | 15480812 |
|---|---|
| Authors | Xin Zhang (0000-0003-0184-5868, Xi'an University of Architecture and Technology), Hao Sun (0000-0002-4563-5363, Xi'an University of Architecture and Technology), Kaipeng Li (0000-0002-2069-2337, Xi'an University of Architecture and Technology), Xingxin Nie (0000-0002-7228-1855, Xi'an University of Architecture and Technology, corresponding author), Yuesheng Fan (Xi'an University of Architecture and Technology, corresponding author), Huan Wang (0000-0003-3219-7226, Xi'an University of Architecture and Technology), Jingyao Ma (0000-0003-3737-0876, Xi'an University of Architecture and Technology) |
| Year | 2022 |
| Volume | 19 |
| Issue | 24 |
| Pages | 16537-16537 |
| Publication date | 2022-12-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192416537 |
| PMID | 36554417 |
| OpenAlex | W4311956322 |
| Language | EN |
| References cited | 23 |
With the increasing popularity of fresh-air filtration systems, the methods of determining the outdoor PM 2.5 design concentration have become more important. However, the monitoring of atmospheric fine particles in China started relatively late, and there are relatively few cities with complete data, with obvious regional differences, which led to many problems in the selection of air filters for fresh-air filtration systems. In this paper, three methods of determining outdoor PM 2.5 design concentration were analyzed using the daily average concentration of PM 2.5 in 31 provincial capital cities from 2016 to 2020. Six typical cities in different regions were also taken as examples. The advantages and disadvantages of the three existing statistical methods were compared and analyzed, as well as the corresponding differences in the selection of outdoor PM 2.5 concentration value on the filter systems. The results showed that the method of mathematical induction was more accurate and reasonable for the calculation of outdoor PM 2.5 design concentrations. The local outdoor PM 2.5 design concentration could be quickly calculated using the recommended coefficient K and annual average PM 2.5 concentration of the region, especially for small and medium-sized cities without monitoring data. However, the recommended coefficient K should be provided based on the specific region, and should be divided into values for strict conditions and normal conditions during use. This would provide a simple and effective way to select the correct air filters for practical engineering
Air filter · Air filtration · Capital city · Filter (signal processing · Filtration (mathematics · Geography · Indoor air quality · Selection (genetic algorithm · Statistics · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Computer Science · Engineering · Environmental Science · Mathematics · Noise Effects and Management · Environmental Engineering
| Citation velocity | historical |
|---|---|
| Highly cited | No |