Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
Based on multiple linear regression (MLR) models, we estimated the PM<sub>2.5</sub> at Seoul using a number of aerosol optical depth (AOD) values obtained from ground-based and satellite remote sensing observations. To construct the MLR model, we consider various parameters related to th...
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| Autores principales: | , , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/9275883b079244d1bfe0301639353d8c |
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| Sumario: | Based on multiple linear regression (MLR) models, we estimated the PM<sub>2.5</sub> at Seoul using a number of aerosol optical depth (AOD) values obtained from ground-based and satellite remote sensing observations. To construct the MLR model, we consider various parameters related to the ambient meteorology and air quality. In general, all AOD values resulted in the high quality of PM<sub>2.5</sub> estimation through the MLR method: mostly correlation coefficients >~0.8. Among various polar-orbit satellite AODs, AOD values from the MODIS measurement contribute to better PM<sub>2.5</sub> estimation. We also found that the quality of estimated PM<sub>2.5</sub> shows some seasonal variation; the estimated PM<sub>2.5</sub> values consistently have the highest correlation with in situ PM<sub>2.5</sub> in autumn, but are not well established in winter, probably due to the difficulty of AOD retrieval in the winter condition. MLR modeling using spectral AOD values from the ground-based measurements revealed that the accuracy of PM<sub>2.5</sub> estimation does not depend on the selected wavelength. Although all AOD values used in this study resulted in a reasonable accuracy range of PM<sub>2.5</sub> estimation, our analyses of the difference in estimated PM<sub>2.5</sub> reveal the importance of utilizing the proper AOD for the best quality of PM<sub>2.5</sub> estimation. |
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