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: Sang-Min Kim, Ja-Ho Koo, Hana Lee, Jungbin Mok, Myungje Choi, Sujung Go, Seoyoung Lee, Yeseul Cho, Jaemin Hong, Sora Seo, Junhong Lee, Je-Woo Hong, Jhoon Kim
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:9275883b079244d1bfe0301639353d8c2021-11-25T16:37:28ZComparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD10.3390/app1122107552076-3417https://doaj.org/article/9275883b079244d1bfe0301639353d8c2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10755https://doaj.org/toc/2076-3417Based 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.Sang-Min KimJa-Ho KooHana LeeJungbin MokMyungje ChoiSujung GoSeoyoung LeeYeseul ChoJaemin HongSora SeoJunhong LeeJe-Woo HongJhoon KimMDPI AGarticlePM<sub>2.5</sub>aerosol optical depth (AOD)multiple linear regressionboundary layer heightTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10755, p 10755 (2021)
institution DOAJ
collection DOAJ
language EN
topic PM<sub>2.5</sub>
aerosol optical depth (AOD)
multiple linear regression
boundary layer height
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle PM<sub>2.5</sub>
aerosol optical depth (AOD)
multiple linear regression
boundary layer height
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Sang-Min Kim
Ja-Ho Koo
Hana Lee
Jungbin Mok
Myungje Choi
Sujung Go
Seoyoung Lee
Yeseul Cho
Jaemin Hong
Sora Seo
Junhong Lee
Je-Woo Hong
Jhoon Kim
Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
description 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.
format article
author Sang-Min Kim
Ja-Ho Koo
Hana Lee
Jungbin Mok
Myungje Choi
Sujung Go
Seoyoung Lee
Yeseul Cho
Jaemin Hong
Sora Seo
Junhong Lee
Je-Woo Hong
Jhoon Kim
author_facet Sang-Min Kim
Ja-Ho Koo
Hana Lee
Jungbin Mok
Myungje Choi
Sujung Go
Seoyoung Lee
Yeseul Cho
Jaemin Hong
Sora Seo
Junhong Lee
Je-Woo Hong
Jhoon Kim
author_sort Sang-Min Kim
title Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
title_short Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
title_full Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
title_fullStr Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
title_full_unstemmed Comparison of PM<sub>2.5</sub> in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
title_sort comparison of pm<sub>2.5</sub> in seoul, korea estimated from the various ground-based and satellite aod
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/9275883b079244d1bfe0301639353d8c
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