서울시 지표 오존 농도의 시간적 공간적 패턴에 대한 연구

Various analyses of the complex behavior in ambient air pollutants have been conducted to extract their implicit patterns and meaningful information. In the present study, we conducted some statistical analyses to identify spatial and temporal variability of ground-level ozone concentration profiles collected from 2005 to 2010 at 25 different monitoring sites in Seoul, Korea. We utilized the k-means clustering method to group the monitoring sites that have similar temporal patterns. Moreover, we proposed to use a decision tree algorithm that characterizes the spatial variations in terms of meteorological information and other pollutants.