부산대학교 도서관

Objectives. This study compared fine particulate matter (PM_(2.5)) concentration data measured by AirBox devices and the Environmental Protection Administration of Taiwan's Air Quality Monitoring Network (EPA-TAQMN). Methods. PM_(2.5) concentrations were obtained from the EPA-TAQMN (Puzi and Xingang stations) and AirBox devices during the study period, 2016-2018. Meteorological data (e. g., temperature, relative humidity, rainfall, wind speed, and wind direction) were obtained from the EPA-TAQMN. The augmented Dickey-Fuller (ADF) test was used to analyze the stationary time series. Descriptive statistics (mean, standard deviation, and percentage) and inferential statistics (independent t test, one-way ANOVA, and Spearman's rank correlation coefficient) were employed to analyze the data. Results. The average PM_(2.5) concentrations obtained by AirBox (47.48μg/m^3) were significantly higher than those reported by the EPA-TAQMN (25.81μg/m^3; p＜0.001). AirBox and EPA-TAQMN PM_(2.5) concentrations were significantly and positively correlated (r=0.844). During the northeast monsoon period, PM_(2.5) concentrations were significantly; negatively correlated with rainfall (r=-0.616) and wind speed (r=-0.307). During non-northeast monsoon periods, PM_(2.5) concentrations wew significantly; negatively correlated with temperature (r=-0.650), relative humidity (r=-0.205), and wind speed (r=-0.504). Shorter distances between the AirBox and the EPA-TAQMN stations were associated with smaller differences in PM_(2.5) concentrations (p＜0.001). Conclusion. PM_(2.5) concentrations reported by AirBox stations were higher than those reported by EPA-TAQMN stations; however, AirBox and EPA-TAQMN data were highly correlated. The PM_(2.5) concentrations obtained by AirBox can be used as a reference for those organizing outdoor activities for community residents and for monitoring local pollution levels.