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

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 da...

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Autores principales: Zhang, Xin, Sun, Hao, Li, Kaipeng, Nie, Xingxin, Fan, Yuesheng, Wang, Huan, Ma, Jingyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779298/
https://www.ncbi.nlm.nih.gov/pubmed/36554417
http://dx.doi.org/10.3390/ijerph192416537
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author Zhang, Xin
Sun, Hao
Li, Kaipeng
Nie, Xingxin
Fan, Yuesheng
Wang, Huan
Ma, Jingyao
author_facet Zhang, Xin
Sun, Hao
Li, Kaipeng
Nie, Xingxin
Fan, Yuesheng
Wang, Huan
Ma, Jingyao
author_sort Zhang, Xin
collection PubMed
description 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.
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spelling pubmed-97792982022-12-23 Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China Zhang, Xin Sun, Hao Li, Kaipeng Nie, Xingxin Fan, Yuesheng Wang, Huan Ma, Jingyao Int J Environ Res Public Health Article 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. MDPI 2022-12-09 /pmc/articles/PMC9779298/ /pubmed/36554417 http://dx.doi.org/10.3390/ijerph192416537 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Xin
Sun, Hao
Li, Kaipeng
Nie, Xingxin
Fan, Yuesheng
Wang, Huan
Ma, Jingyao
Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China
title Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China
title_full Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China
title_fullStr Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China
title_full_unstemmed Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China
title_short Comparison of the Application of Three Methods for the Determination of Outdoor PM(2.5) Design Concentrations for Fresh Air Filtration Systems in China
title_sort comparison of the application of three methods for the determination of outdoor pm(2.5) design concentrations for fresh air filtration systems in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779298/
https://www.ncbi.nlm.nih.gov/pubmed/36554417
http://dx.doi.org/10.3390/ijerph192416537
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