지상측정자료를 활용한 자료동화 CMAQ과 MAIAC AOD를 적용한 미세먼지농도 재분석 방법 개발 (A Development of PM Concentration Reanalysis Method using CMAQ with Surface Data Assimilation and MAIAC AOD in Korea)

서지정보

· 발행기관 : 한국대기환경학회
· 수록지 정보 : 한국대기환경학회지 / 36권 / 4호 / 558 ~ 573페이지
· 저자명 : 구윤서, 최대련, 윤희영, 윤건우, 이정범

초록

Ambient exposure to PM (Particulate Matter) is harmful effect on public health and assessment of its exposure level is essential in health risk estimation. PM10 and PM2.5 concentration reanalysis method using CMAQ with surface data assimilation and MODIS (Moderate Resolution Imaging Spectroradiometer) MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (Aerosol Optical Depth) has been developed to provide PM exposure level for health risk assessment in this study and its performance was tested against the measurements in Korea. The assimilation of CMAQ (Community Multiscale Air Quality Modeling System) with ambient air quality monitoring stations in China and Korea was applied and the assimilated PM10 and PM2.5 concentrations shows better agreement with observations. In order to enhance the accuracy of exposure estimation especially remote area where the air quality measurements are not available, MLR (Multiple Linear Regression) to predict daily PM concentration with 1km resolution was applied using predictor variables of MAIAC AOD, NDVI (Normalized Difference Vegetation Index), CMAQ assimilated PM concentrations, and WRF (Weather Research and Forecasting) model predicted meteorological parameters. The MLR estimates daily PM10 with R2=0.81, IOA=0.95, and RMSE=14.62 μg/m3 and daily PM2.5 with R2=0.64, IOA=0.87, and RMSE=9.13 μg/m3. The annual and seasonal spatial distribution of PM10 and PM2.5 could depict key hot spot regions in Korea. The method is expected to be used in estimating long term PM concentration distributions more than 10 years for health risk assessment in Korea.

영어초록

Ambient exposure to PM (Particulate Matter) is harmful effect on public health and assessment of its exposure level is essential in health risk estimation. PM10 and PM2.5 concentration reanalysis method using CMAQ with surface data assimilation and MODIS (Moderate Resolution Imaging Spectroradiometer) MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (Aerosol Optical Depth) has been developed to provide PM exposure level for health risk assessment in this study and its performance was tested against the measurements in Korea. The assimilation of CMAQ (Community Multiscale Air Quality Modeling System) with ambient air quality monitoring stations in China and Korea was applied and the assimilated PM10 and PM2.5 concentrations shows better agreement with observations. In order to enhance the accuracy of exposure estimation especially remote area where the air quality measurements are not available, MLR (Multiple Linear Regression) to predict daily PM concentration with 1km resolution was applied using predictor variables of MAIAC AOD, NDVI (Normalized Difference Vegetation Index), CMAQ assimilated PM concentrations, and WRF (Weather Research and Forecasting) model predicted meteorological parameters. The MLR estimates daily PM10 with R2=0.81, IOA=0.95, and RMSE=14.62 μg/m3 and daily PM2.5 with R2=0.64, IOA=0.87, and RMSE=9.13 μg/m3. The annual and seasonal spatial distribution of PM10 and PM2.5 could depict key hot spot regions in Korea. The method is expected to be used in estimating long term PM concentration distributions more than 10 years for health risk assessment in Korea.

참고자료

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