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Advances in Meteorology
Volume 2015, Article ID 704178, 12 pages
Research Article

Studying Air Pollutants Origin and Associated Meteorological Parameters over Seoul from 2000 to 2009

1Department of Earth Science, University of California Riverside, Riverside, CA 92521, USA
2Schmid College of Science and Technology, Chapman University, Orange, CA 92866, USA
3Center of Excellence in Earth Systems Modeling and Observation, Chapman University, Orange, CA 92866, USA
4Department of Environmental Sciences, Faculty of Science, Alexandria University, Moharam Bek, Alexandria 21522, Egypt
5Department of Natural Sciences, College of Health Sciences, Public Authority for Applied Education and Training, Faiha, P.O. Box 14281, 72853 Kuwait, Kuwait
6Department of Physics, Faculty of Science, Alexandria University, Moharam Bek, Alexandria 21522, Egypt
7Department of Environmental Science & Ecological Engineering, Korea University, Seoul 136-713, Republic of Korea
8Department of Applied Geology, Indian School of Mines, Dhanbad 826004, India

Received 27 August 2014; Accepted 23 January 2015

Academic Editor: Slobodan Nickovic

Copyright © 2015 Sunmin Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We investigate the temporal characteristics of major air pollutants collected from 44 air quality stations over the city of Seoul, Korea, namely, nitrogen dioxide, carbon monoxide, particular matter at 10 microns, and sulfur dioxide (SO2) between 2000 and 2009. The corresponding satellite datasets, namely, aerosol optical depth (AODsat), Ångström exponent, and fine mode fraction, collected from moderate resolution imaging spectroradiometer (MODIS) as well as the Aeronet ground aerosol optical depth (AODaeronet), have been analyzed. Pollutants’ seasonal effect has been inferred from the precipitation and temperature. The four pollutants under study show varying temporal characteristics with different annual mean concentration patterns. The monthly mean of mentioned pollutants all show similar low concentrations during the summer season and high concentrations during the winter season. We found that pollution is strongly linked to temperature and precipitation variability, especially during the fall season. Satellite data analysis provides information on the pollutants origin whether of natural or anthropogenic type. Our results indicate that the anthropogenic aerosol is dominant in the summer season even though the concentration was lower than the other seasons. AODaeronet and Ångström exponent indicated high positive and negative correlation coefficients with PM10, 0.60, and −0.45, respectively. Both small and large sizes of aerosols existed in 2007; however coarse size of aerosols was the primary component in 2002.