YUAN Chen-xi, DING Ge, LI Tao, CHU Hai-yan, WANG Mei-lin, HUA Qiu-han, NI Chun-hui, ZHANG Zheng-dong, WU Dong-mei. Analysis of Indoor and Outdoor PM2.5 Concentrations in a University of Nanjing[J]. Journal of Environmental and Occupational Medicine, 2016, 33(7): 670-674. DOI: 10.13213/j.cnki.jeom.2016.15626
Citation: YUAN Chen-xi, DING Ge, LI Tao, CHU Hai-yan, WANG Mei-lin, HUA Qiu-han, NI Chun-hui, ZHANG Zheng-dong, WU Dong-mei. Analysis of Indoor and Outdoor PM2.5 Concentrations in a University of Nanjing[J]. Journal of Environmental and Occupational Medicine, 2016, 33(7): 670-674. DOI: 10.13213/j.cnki.jeom.2016.15626

Analysis of Indoor and Outdoor PM2.5 Concentrations in a University of Nanjing

  • Objective To investigate the indoor and outdoor PM2.5 concentrations and related impact factors in a university and provide valuable data for indoor air study or control.
    Methods PM2.5 concentrations in six environments in urban campus(Wutai) and suburban campus(Jiangning) of Nanjing Medical University were monitored using a portable particulate matter monitor. Meanwhile, temperature, humidity, ventilation, and carpet area were monitored. Differences in PM2.5 concentrations among varied locations and functional indoor areas were also compared.
    Results The highest indoor PM2.5 levels were both found in the canteen areas(82.00 and 149.71 μg/m3) and the lowest in the library areas(31.20 μg/m3, 35.00 μg/m3) in Jiangning and Wutai campuses, respectively. The differences in indoor PM2.5 concentrations were statistically significant between classroom, library, and canteen of Jiangning and Wutai(P < 0.001). In addition, the PM2.5 concentrations of outside environments of classroom, laboratory, and canteen in Jiangning were higher than those in Wutai(P < 0.05). According to the results of multiple comparisons, the PM2.5 indoor/outdoor concentrations(I/O) of laboratory(0.76) and canteen(1.09) were different from those of other areas in Jiangning campus(P < 0.001); the I/O values of library(0.8) and canteen(3.08) were different from those of other areas in Wutai campus(P < 0.001). According to the results of multivariate regression analysis, air conditioning and ventilation were negatively associated with indoor PM2.5 concentration, but area was positively related with the PM2.5 concentration. The regression equation was: ?=48.63-15.01X1+0.022X2-4.46X3(Y denoted PM2.5 concentration; X1, X2, and X3 denoted air conditioning, area, and ventilation, respectively). When cooking activities were included, the regression equation was: ?=139.17-17.67X1+0.025X2-91.38X4(Y denoted PM2.5 concentration; X1, X2, and X4 denoted air conditioning, area, and cooking activity, respectively).
    Conclusion The PM2.5 concentrations meet the standards of ambient air quality in all monitored places except canteen. Use of air conditioning or ventilation is beneficial to decrease indoor PM2.5 concentration. Cooking activities significantly affect the quality of indoor PM2.5.
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