Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity

Kwanchul Kim; Kwon H. Lee; Ji I. Kim; Youngmin Noh; Dong H. Shin; Sung K. Shin; Dasom Lee; Jhoon Kim; Young J. Kim; Chul H. Song

doi:10.1016/j.chemosphere.2015.09.040

Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity

Kwanchul Kim, Kwon H. Lee, Ji I. Kim, Youngmin Noh, Dong H. Shin, Sung K. Shin, Dasom Lee, Jhoon Kim, Young J. Kim, Chul H. Song

Institute of Earth·Atmosphere·Astronomy(BK21+)

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Surface-level PM₁₀ distribution was estimated from the satellite aerosol optical depth (AOD) products, taking the account of vertical profiles and hygroscopicity of aerosols over Jeju, Korea during March 2008 and October 2009. In this study, MODIS AOD data from the Terra and Aqua satellites were corrected with aerosol extinction profiles and relative humidity data. PBLH (Planetary Boundary Layer Height) was determined from MPLNET lidar-derived aerosol extinction coefficient profiles. Through statistical analysis, better agreement in correlation (R = 0.82) between the hourly PM₁₀ concentration and hourly average Sunphotometer AOD was the obtained when vertical fraction method (VFM) considering Haze Layer Height (HLH) and hygroscopic growth factor f(RH) was used. The validity of the derived relationship between satellite AOD and surface PM₁₀ concentration clearly demonstrates that satellite AOD data can be utilized for remote sensing of spatial distribution of regional PM₁₀ concentration.

Original language	English
Pages (from-to)	32-40
Number of pages	9
Journal	Chemosphere
Volume	143
DOIs	https://doi.org/10.1016/j.chemosphere.2015.09.040
Publication status	Published - 2016 Jan 1

Bibliographical note

Funding Information:
This research was supported by the Korea Meteorological Administration Research and Development Program under Grant KMIPA2015-2012 , and the Korea Meteorological Administration Research and Development Program under Grant KMIPA2014-21130 . The NASA Micro-Pulse Lidar Network is funded by the NASA Earth Observing System and Radiation Sciences Program . We thank the MPLNET and AERONET PI (Soon-Chang Yoon) for efforts in establishing and maintaining the (Gosan_SNU) site. The authors also thank the NASA-US for making available the Collection 6 Level-2 MODIS data.

Publisher Copyright:
© 2015 The Authors.

All Science Journal Classification (ASJC) codes

Environmental Engineering
Chemistry(all)
Environmental Chemistry
Pollution
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.chemosphere.2015.09.040

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title = "Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity",

abstract = "Surface-level PM10 distribution was estimated from the satellite aerosol optical depth (AOD) products, taking the account of vertical profiles and hygroscopicity of aerosols over Jeju, Korea during March 2008 and October 2009. In this study, MODIS AOD data from the Terra and Aqua satellites were corrected with aerosol extinction profiles and relative humidity data. PBLH (Planetary Boundary Layer Height) was determined from MPLNET lidar-derived aerosol extinction coefficient profiles. Through statistical analysis, better agreement in correlation (R = 0.82) between the hourly PM10 concentration and hourly average Sunphotometer AOD was the obtained when vertical fraction method (VFM) considering Haze Layer Height (HLH) and hygroscopic growth factor f(RH) was used. The validity of the derived relationship between satellite AOD and surface PM10 concentration clearly demonstrates that satellite AOD data can be utilized for remote sensing of spatial distribution of regional PM10 concentration.",

author = "Kwanchul Kim and Lee, {Kwon H.} and Kim, {Ji I.} and Youngmin Noh and Shin, {Dong H.} and Shin, {Sung K.} and Dasom Lee and Jhoon Kim and Kim, {Young J.} and Song, {Chul H.}",

note = "Funding Information: This research was supported by the Korea Meteorological Administration Research and Development Program under Grant KMIPA2015-2012 , and the Korea Meteorological Administration Research and Development Program under Grant KMIPA2014-21130 . The NASA Micro-Pulse Lidar Network is funded by the NASA Earth Observing System and Radiation Sciences Program . We thank the MPLNET and AERONET PI (Soon-Chang Yoon) for efforts in establishing and maintaining the (Gosan_SNU) site. The authors also thank the NASA-US for making available the Collection 6 Level-2 MODIS data. Publisher Copyright: {\textcopyright} 2015 The Authors.",

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doi = "10.1016/j.chemosphere.2015.09.040",

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AU - Kim, Kwanchul

AU - Lee, Kwon H.

AU - Kim, Ji I.

AU - Noh, Youngmin

AU - Shin, Dong H.

AU - Shin, Sung K.

AU - Lee, Dasom

AU - Kim, Jhoon

AU - Kim, Young J.

AU - Song, Chul H.

N1 - Funding Information: This research was supported by the Korea Meteorological Administration Research and Development Program under Grant KMIPA2015-2012 , and the Korea Meteorological Administration Research and Development Program under Grant KMIPA2014-21130 . The NASA Micro-Pulse Lidar Network is funded by the NASA Earth Observing System and Radiation Sciences Program . We thank the MPLNET and AERONET PI (Soon-Chang Yoon) for efforts in establishing and maintaining the (Gosan_SNU) site. The authors also thank the NASA-US for making available the Collection 6 Level-2 MODIS data. Publisher Copyright: © 2015 The Authors.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Surface-level PM10 distribution was estimated from the satellite aerosol optical depth (AOD) products, taking the account of vertical profiles and hygroscopicity of aerosols over Jeju, Korea during March 2008 and October 2009. In this study, MODIS AOD data from the Terra and Aqua satellites were corrected with aerosol extinction profiles and relative humidity data. PBLH (Planetary Boundary Layer Height) was determined from MPLNET lidar-derived aerosol extinction coefficient profiles. Through statistical analysis, better agreement in correlation (R = 0.82) between the hourly PM10 concentration and hourly average Sunphotometer AOD was the obtained when vertical fraction method (VFM) considering Haze Layer Height (HLH) and hygroscopic growth factor f(RH) was used. The validity of the derived relationship between satellite AOD and surface PM10 concentration clearly demonstrates that satellite AOD data can be utilized for remote sensing of spatial distribution of regional PM10 concentration.

AB - Surface-level PM10 distribution was estimated from the satellite aerosol optical depth (AOD) products, taking the account of vertical profiles and hygroscopicity of aerosols over Jeju, Korea during March 2008 and October 2009. In this study, MODIS AOD data from the Terra and Aqua satellites were corrected with aerosol extinction profiles and relative humidity data. PBLH (Planetary Boundary Layer Height) was determined from MPLNET lidar-derived aerosol extinction coefficient profiles. Through statistical analysis, better agreement in correlation (R = 0.82) between the hourly PM10 concentration and hourly average Sunphotometer AOD was the obtained when vertical fraction method (VFM) considering Haze Layer Height (HLH) and hygroscopic growth factor f(RH) was used. The validity of the derived relationship between satellite AOD and surface PM10 concentration clearly demonstrates that satellite AOD data can be utilized for remote sensing of spatial distribution of regional PM10 concentration.

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Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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