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

Research output: Contribution to journalArticlepeer-review

8 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 languageEnglish
Pages (from-to)32-40
Number of pages9
JournalChemosphere
Volume143
DOIs
Publication statusPublished - 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.

All Science Journal Classification (ASJC) codes

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

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