Predicting spatio-temporal distribution of indoor multi-phase phthalates under the influence of particulate matter

Bu, Subei; Wang, Yanling; Wang, Haiyan; Wang, Fang; Tan, Yufei

doi:10.1016/j.buildenv.2022.109329

Cited by 9 publications

(10 citation statements)

References 57 publications

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“…The monitoring data for 31 provincial capitals in China, from 2016 to 2020, were counted and analyzed based on the existing relevant research and conclusions. The outdoor atmospheric PM 2.5 concentration values, corresponding to the different not-guaranteed day parameters, are given in Table 1 [ 6 , 15 ].…”

Section: Resultsmentioning

confidence: 99%

“…The method for no-guarantee days used the outdoor calculated concentration of PM 2.5 to adopt an average daily mass concentration that was not guaranteed for specific days [ 6 , 15 , 22 ]. For example, if the daily mass concentration was not guaranteed for 5 days, the average mass concentration of PM 2.5 per year in each statistical year should be arranged in descending order, and then the highest 5 days in terms of average mass concentration of PM 2.5 should be removed.…”

Section: Methodsmentioning

confidence: 99%

“…For example, if the daily mass concentration was not guaranteed for 5 days, the average mass concentration of PM 2.5 per year in each statistical year should be arranged in descending order, and then the highest 5 days in terms of average mass concentration of PM 2.5 should be removed. The average mass concentration of PM 2.5 on the sixth day is the daily mass concentration that is not guaranteed for 5 days [ 6 , 15 , 22 ]. No-guarantee for 10 days means that the average mass concentration of PM 2.5 per year in each statistical year should be arranged in descending order, and then the highest average mass concentration of PM 2.5 for 10 days should be removed.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, PM 2.5 in the atmosphere might cause some diseases related to human lung disease, cardiovascular disease, etc. [ 4 , 5 , 6 , 7 , 8 ]. However, people spend as much as 80–90% of their time indoors [ 9 ], and the quality of the indoor environment was the most important to us.…”

Section: Introductionmentioning

confidence: 99%

“…Some scholars conducted related research on the design concentrations of outdoor particulate matter [ 15 , 22 , 23 ]. They proposed and verified various determination methods, such as no-guarantee days [ 6 , 15 ], guarantee rate [ 22 ], and no-guarantee hours [ 23 ]. Although those methods brought certain improvements, the selection of fresh-air filters is still slightly insufficient.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Sun

et al. 2022

IJERPH

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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.

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Section: Resultsmentioning

confidence: 99%