new approach to monitor transboundary particulate pollution over northeast asia
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2014
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Abstract
A new approach to more accurately monitor and evaluate transboundary
particulate matter (PM) pollution is introduced based on aerosol optical
products from Korea's Geostationary Ocean Color Imager (GOCI). The area
studied is Northeast Asia (including eastern parts of China, the Korean
peninsula and Japan), where GOCI has been monitoring since June 2010. The
hourly multi-spectral aerosol optical data that were retrieved from GOCI
sensor onboard geostationary satellite COMS (Communication, Ocean, and
Meteorology Satellite) through the Yonsei aerosol retrieval algorithm were first
presented and used in this study. The GOCI-retrieved aerosol optical data
are integrated with estimated aerosol distributions from US EPA
Models-3/CMAQ (Community Multi-scale Air Quality) v4.5.1 model simulations via data assimilation technique,
thereby making the aerosol data spatially continuous and available even for
cloud contamination cells. The assimilated aerosol optical data are utilized
to provide quantitative estimates of transboundary PM pollution from China
to the Korean peninsula and Japan. For the period of 1 April to 31 May, 2011
this analysis yields estimates that AOD as a proxy for PM2.5 or
PM10 during long-range transport events increased by 117–265%
compared to background average AOD (aerosol optical depth) at the four AERONET sites in Korea, and
average AOD increases of 121% were found when averaged over the entire
Korean peninsula. This paper demonstrates that the use of multi-spectral AOD
retrievals from geostationary satellites can improve estimates of
transboundary PM pollution. Such data will become more widely available
later this decade when new sensors such as the GEMS (Geostationary Environment
Monitoring Spectrometer) and GOCI-2 are scheduled to be launched.
| Reference Key |
park2014atmosphericnew
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|---|---|
| Authors | ;M. E. Park;C. H. Song;R. S. Park;J. Lee;J. Kim;S. Lee;J.-H. Woo;G. R. Carmichael;T. F. Eck;B. N. Holben;S.-S. Lee;C. K. Song;Y. D. Hong |
| Journal | Journal of agricultural and food chemistry |
| Year | 2014 |
| DOI |
10.5194/acp-14-659-2014
|
| URL | |
| Keywords |
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