[논문]지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가

우재민; 민기홍; 김동준; 조만수; 성경화; 원정일; 이채관; 신지훈; 양원호

doi:10.5668/jehs.2022.48.6.298

지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가
Existing Population Exposure Assessment Using PM2.5 Concentration and the Geographic Information System 원문보기

韓國環境保健學會誌 = Journal of environmental health sciences, v.48 no.6, 2022년, pp.298 - 305

우재민 (대구가톨릭대학교 보건안전학과) , 민기홍 (대구가톨릭대학교 보건안전학과) , 김동준 (대구가톨릭대학교 보건안전학과) , 조만수 (대구가톨릭대학교 보건안전학과) , 성경화 (대구가톨릭대학교 환경보건모니터링센터) , 원정일 (충북도립대학교 환경보건학과) , 이채관 (인제대학교 의과대학 환경.산업의학연구소) , 신지훈 (대구가톨릭대학교 보건안전학과) , 양원호 (대구가톨릭대학교 보건안전학과)

Abstract ▼ AI-Helper

Background: The concentration of air pollutants as measured by the Air Quality Monitoring System (AQMS) is not an accurate population exposure level since actual human activities and temporal and spatial variability need to be considered. Therefore, to increase the accuracy of exposure assessment, the population should be considered. However, it is difficult to obtain population data due to limitations such as personal information. Objectives: The existing population defined in this study is the number of people in each region's grid. The purpose is to provide a methodology for evaluating exposure to PM2.5 through existing population data provided by the National Geographic Information Institute. Methods: The selected study period was from October 26 to October 28, 2021. Using PM2.5 concentration data measured at the Sensor-based Air Monitoring Station (SAMS) installed in Guro-gu and Wonju-si, the concentration for each grid was estimated by applying inverse distance weights through QGIS version 3.22. Considering the existing population, population-weighted average concentration (PWAC) was calculated and the exposure level of the population was compared by region. Results: The outdoor PM2.5 concentration as measured through the SAMS was high in Wonju-si on all three days. Wonju-si showed an average 22% higher PWAC than Guro-gu. As a result of comparing the PWAC and outdoor PM2.5 concentration by region, the PWAC in Guro-gu was 1~2% higher than the observed value, but it was almost the same. Conversely, observations of Wonju-si were 10.1%, 11.3%, and 8.2% higher than PWAC. Conclusions: It is expected that the Geographic Information System (GIS) method and the existing population will be used to evaluate the exposure level of a population with a narrow activity radius in further research. In addition, based on this study, it is judged that research on exposure to environmental pollutants and risk assessment methods should be expanded.

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지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가
Existing Population Exposure Assessment Using PM2.5 Concentration and the Geographic Information System 원문보기

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지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가 Existing Population Exposure Assessment Using PM2.5 Concentration and the Geographic Information System 원문보기

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지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가
Existing Population Exposure Assessment Using PM2.5 Concentration and the Geographic Information System 원문보기