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Titel |
Estimation of PM10 concentrations over Seoul using multiple empirical models with AERONET and MODIS data collected during the DRAGON-Asia campaign |
VerfasserIn |
S. Seo, J. Kim, H. Lee, U. Jeong, W. Kim, B. N. Holben, S.-W. Kim, C. H. Song, J. H. Lim |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 15, no. 1 ; Nr. 15, no. 1 (2015-01-13), S.319-334 |
Datensatznummer |
250119300
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Publikation (Nr.) |
copernicus.org/acp-15-319-2015.pdf |
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Zusammenfassung |
The performance of various empirical linear models to estimate the
concentrations of surface-level particulate matter with a diameter less than
10 μm (PM10) was evaluated using Aerosol Robotic Network
(AERONET) sun photometer and Moderate-Resolution Imaging Spectroradiometer
(MODIS) data collected in Seoul during the Distributed Regional Aerosol
Gridded Observation Network (DRAGON)-Asia campaign from March to May 2012. An
observed relationship between the PM10 concentration and the aerosol
optical depth (AOD) was accounted for by several parameters in the empirical
models, including boundary layer height (BLH), relative humidity (RH), and
effective radius of the aerosol size distribution (Reff), which
was used here for the first time in empirical modeling. Among various
empirical models, the model which incorporates both BLH and Reff
showed the highest correlation, which indicates the strong influence of BLH
and Reff on the PM10 estimations. Meanwhile, the effect of
RH on the relationship between AOD and PM10 appeared to be
negligible during the campaign period (spring), when RH is generally low in
northeast Asia. A large spatial dependency of the empirical model performance
was found by categorizing the locations of the collected data into three
different site types, which varied in terms of the distances between
instruments and source locations. When both AERONET and MODIS data sets were
used in the PM10 estimation, the highest correlations between measured
and estimated values (R = 0.76 and 0.76 using AERONET and MODIS data,
respectively) were found for the residential area (RA) site type, while the
poorest correlations (R = 0.61 and 0.68 using AERONET and MODIS data,
respectively) were found for the near-source (NS) site type. Significant
seasonal variations of empirical model performances for PM10 estimation
were found using the data collected at Yonsei University (one of the DRAGON
campaign sites) over a period of 17 months including the DRAGON campaign
period. The best correlation between measured and estimated PM10
concentrations (R = 0.81) was found in winter, due to the presence of a
stagnant air mass and low BLH conditions, which may have resulted in
relatively homogeneous aerosol properties within the BLH. On the other hand,
the poorest correlation between measured and estimated PM10
concentrations (R = 0.54) was found in spring, due to the influence of
the long-range transport of dust to both within and above the BLH. |
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