Comparison of the Application of Three Methods for the Determination of Outdoor PM 2.5 Design Concentrations for Fresh Air Filtration Systems in China

Xin Zhang, Hao Sun, Kaipeng Li, Xingxin Nie (), Yuesheng Fan (), Huan Wang and Jingyao Ma
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Xin Zhang: School of Resources Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Hao Sun: School of Resources Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Kaipeng Li: School of Resources Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Xingxin Nie: School of Resources Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Yuesheng Fan: School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Huan Wang: School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Jingyao Ma: School of Resources Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China

IJERPH, 2022, vol. 19, issue 24, 1-14

Abstract: 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.

Keywords: fresh-air filtration systems; PM 2.5; no-guarantee days; guarantee rate; mathematical inductions (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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