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- W2359476939 abstract "Objective To investigate the indoor air pollution of fine particles(PM2.5) and associated factors in the restaurants of Beijing.Methods A stratified sampling method was taken to select 42 restaurants in the one of Beijing districts.AM-510 artificial intelligence anti-explosion dust detectors were used to test for the densities of fine particles in the air inside and outside of restaurants.The numbers of smoking customers were recorded for the restaurants simultaneously.Linear regression model was applied to evaluate associated factors for air contamination of fine particles.Results The average densities of indoor and outdoor fine particles(PM2.5) were 194μg/m3 and 76μg/m3 in the 42 restaurants.The average density of indoor air PM2.5(206μg/m3) was significantly higher than that of outdoor PM2.5(P0.05).The proportion of smoking customers and the density of indoor fine particles(PM2.5) were significantly higher in Chinese style restaurants than those in fast-food and western style restaurants.The proportions of smoking customers and the densities of indoor fine particles(PM2.5) were significantly different among different sizes and quality levels of restaurants(P0.05).The densities of indoor fine particles(PM2.5) were positively correlated with densities of outdoor fine particles(PM2.5) and proportions of smoking customers(numbers of cigarettes,r=0.814,P0.001) by Spearman non-parameter correlation analysis.A one variable linear regression equation has been set up as y(μg/m3)=0.828x+9.456(R2=0.862,F=100.327,P0.001) to calculate the densities of out door PM2.5(Y) with the densities of indoor PM2.5.(X).Conclusion The indoor fine particle air pollution is very serious in the restaurants of Beijing.Smoking customers and the outdoor densities of fine particles(PM2.5) are the main associated factors." @default.
- W2359476939 created "2016-06-24" @default.
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- W2359476939 date "2010-01-01" @default.
- W2359476939 modified "2023-09-23" @default.
- W2359476939 title "Cross-sectional study on the densities of fine particles(PM_(2.5))in the restaurants of Beijing" @default.
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