인구 유동에 따른 서울시 대기 중 초미세먼지 농도 변화 요인 분석 및 노출평가

• 영문명: Analysis and Exposure Assessment of Factors That Affect the Concentration of Ambient PM2.5 in Seoul Based on Population Movement
• 발행기관: 한국환경보건학회
• 저자명: 우재민 신지훈 민기홍 김동준 성경화 조만수 우병열 양원호
• 간행물 정보: 『1. 한국환경보건학회지』제50권 제1호, 6~15쪽, 전체 10쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2024.02.29

국문 초록

Background: People’s activities have been restricted due to the COVID-19 pandemic. These changes in activity patterns may lead to a decrease in fine particulate matter (PM2.5) concentrations. Additionally, the level of population exposure to PM2.5 may be changed. Objectives: This study aimed to analyze the impact of population movement and meteorological factors on the distribution of PM2.5 concentrations before and after the outbreak of COVID-19. Methods: The study area was Guro-gu in Seoul. The research period was selected as January to March 2020, a period of significant population movement changes caused by COVID-19. The evaluation of the dynamic population was conducted by calculating the absolute difference in population numbers between consecutive hours and comparing them to determine the daily average. Ambient PM2.5 concentrations were estimated for each grid using ordinary kriging in Python. For the population exposure assessment, the populationweighted average concentration was calculated by determining the indoor to outdoor population for each grid and applying the indoor to outdoor ratio to the ambient PM2.5 concentration. To assess the factors influencing changes in the ambient PM2.5 concentration, a statistical analysis was conducted, incorporating population mobility and meteorological factors. Results: Through statistical analysis, the correlation between ambient PM2.5 concentration and population movement was positive on both weekends and weekdays (r=0.71, r=0.266). The results confirmed that most of the relationships were positive, suggesting that a decrease in human activity can lead to a decrease in PM2.5 concentrations. In addition, when population-weighted concentration averages were calculated and the exposure level of the population group was compared before and after the COVID-19 outbreak, the proportion of people exceeding the air quality standard decreased by approximately 15.5%. Conclusions: Human activities can impact ambient concentrations of PM2.5, potentially altering the levels of PM2.5 exposure in the population.

키워드

PM2.5 COVID-19 dynamic population GIS population exposure