USING OPEN-AIR PACKAGE FOR STATISTIC OF AIR QUALITY DATA: STUDY IN KAOHSIUNG, TAIWAN

Abstract

This paper used some functions of open-air package to analysis air quality index (AQI) in Kaohsiung. The package includes many tools for manipulating data to understand about air pollution data. The time series concentration of PM10 and PM2.5 are be used for evaluation and analysis of AQI. Air pollution data is collected from monitoring sites in the world. There are two principal approaches are used. First, a graphical technique using bivariate polar plots to discriminate between source types. Bivariate polar plots is a method which plotting pollutant concentration in polar coordinates showing concentration by wind speed (or another numeric variable) and direction. Second, using timeVariation and timePlot functions to analyze and assess the level of air pollution. For presented case study, we initially understand and properly evaluate the level of pollution to improve air quality.