2024년 서울특별시 종로구의 기상요인과 대기오염물질의 계절적 상호작용 분석 - 건강안전 평가를 위한 기초 연구 - = Analysis of Seasonal Interactions between Air Pollutants and Meteorological Factors in Jongno-gu, Seoul, 2024 - A Baseline Study for Health Safety Assessment -

다국어 초록 (Multilingual Abstract)

This study aimed to investigate the seasonal distribution characteristics of major air pollutants and meteorological factors in a single area of Jongno-gu, Seoul, in 2024, and to analyze the correlations between them. Daily data from January to December 2024 were collected from air quality monitoring stations and the Automated Synoptic Observing System operated by the Seoul Metropolitan Government. Considering the non-normal distribution of the data, medians and interquartile ranges were used instead of means for descriptive statistical analysis. Spearman’s rank correlation analysis was conducted to examine the relationships between air pollutants and meteorological factors, with comparisons made across different seasons. Particulate matter(PM₁₀ and PM₂.₅) concentrations were relatively higher during winter and spring, while O₃ concentrations peaked under high-temperature conditions in summer. CO and NO₂ tended to increase in winter due to heating activities and atmospheric stagnation. Temperature exhibited a significant positive correlation with O₃, whereas negative correlations were observed with CO and NO₂. Relative humidity generally showed weak negative correlations with most air pollutants. This study is meaningful in that it statistically explored the seasonal distribution patterns of major air pollutants and their interactions with meteorological factors. Through this, it aims to provide essential baseline data for establishing air quality prediction models and conducting health safety assessments considering future meteorological changes, such as rising temperatures.