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http://dx.doi.org/10.5467/JKESS.2020.41.2.111

A Study on the Prediction of Residual Probability of Fine Dust in Complex Urban Area  

Park, Sung Ju (School of Freshmen, KAIST)
Seo, You Jin (School of Freshmen, KAIST)
Kim, Dong Wook (College of Life Science & Biotechnology, Korea University)
Choi, Hyun Jeong (Department of Physics & Earth Science, Korea Science Academy of KAIST)
Publication Information
Journal of the Korean earth science society / v.41, no.2, 2020 , pp. 111-128 More about this Journal
Abstract
This study presents a possibility of intensification of fine dust mass concentration due to the complex urban structure using data mining technique and clustering analysis. The data mining technique showed no significant correlation between fine dust concentration and regional-use public urban data over Seoul. However, clustering analysis based on nationwide-use public data showed that building heights (floors) have a strong correlation particularly with PM10. The modeling analyses using the single canopy model and the micro-atmospheric modeling program (ENVI-Met. 4) conducted that the controlled atmospheric convection in urban area leaded to the congested flow pattern depending on the building along the distribution and height. The complex structure of urban building controls convective activity resulted in stagnation condition and fine dust increase near the surface. Consequently, the residual effect through the changes in the thermal environment caused by the shape and structure of the urban buildings must be considered in the fine dust distribution. It is notable that the atmospheric congestion may be misidentified as an important implications for providing information about the residual probability of fine dust mass concentration in the complex urban area.
Keywords
Fine dust residues; Data mining; ENVI-Met.; Complex urban area;
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