Comparison of the Application of Three Methods for the Determination of Outdoor PM2.5 Design Concentrations for Fresh Air Filtration Systems in China

被引:12
作者
Zhang, Xin [1 ,2 ]
Sun, Hao [1 ]
Li, Kaipeng [1 ]
Nie, Xingxin [1 ]
Fan, Yuesheng [3 ]
Wang, Huan [3 ]
Ma, Jingyao [1 ]
机构
[1] Xian Univ Architecture & Technol, Sch Resources Engn, Xian 710055, Peoples R China
[2] Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, Xian 710055, Peoples R China
[3] Xian Univ Architecture & Technol, Sch Bldg Serv Sci & Engn, Xian 710055, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
fresh-air filtration systems; PM2.5; no-guarantee days; guarantee rate; mathematical inductions; PARTICULATE MATTER; POLLUTANTS; FILTERS; IMPACT; XIAN;
D O I
10.3390/ijerph192416537
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the increasing popularity of fresh-air filtration systems, the methods of determining the outdoor PM2.5 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 PM2.5 design concentration were analyzed using the daily average concentration of PM2.5 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 PM2.5 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 PM2.5 design concentrations. The local outdoor PM2.5 design concentration could be quickly calculated using the recommended coefficient K and annual average PM2.5 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.
引用
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页数:14
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