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http://dx.doi.org/10.5572/KOSAE.2012.28.3.294

A Statistical Analysis and Spatial Distribution Analysis for Deposition Characteristics of Fall-out Particles  

Ju, Jae-Hee (Department of Environmental Engineering, Daegu University)
Hwang, In-Jo (Department of Environmental Engineering, Daegu University)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.28, no.3, 2012 , pp. 294-305 More about this Journal
Abstract
The objective of this study is to estimate the chemical compositions and to identify qualitative sources of fall-out particles in study area. Also, this study used a spatial analysis to estimate spatial distributions and average deposition flux. In this study, the chemical compositions of fall-out particle samples collected at Muncheon lake from May 2010 to January 2011 were analyzed by ICP and IC. The monthly trend of deposition fluxes for fall-out particles showed highest in June ($107.61kg/km^2/day$) and lowest in October ($22.22kg/km^2/day$). The average fluxes of Fe, Si, Al, Zn and Ba are 0.44, 0.24, 0.20, 0.17, $0.09kg/km^2/day$, respectively. Also, the average fluxes of $NO_3^-$, $SO_4^{2-}$, $NH_4^+$, $Ca^{2+}$, and $Na^+$ are 6.48, 5.01, 4.96, 1.75, $1.37kg/km^2/day$, respectively. A Factor analysis identified four sources such as 1) nonferrous metal, motor vehicle, and agriculture, 2) soil, 3) field burning, incineration, and 4) road dust and oil burning. The IDW (inverse distance weighting) spatial analysis method was used to estimate spatial distribution and average deposition flux for fall-out particles. A total average deposition fluxes estimated in Muncheon lake were 936.15 kg/month. The spatial distribution trend of deposition flux showed higher at site 1 and 2 than at site 3, 4 because local road is adjacent to the site 1 and 2.
Keywords
Fall-out particle; Deposition flux; Factor analysis; Spatial analysis; Inverse distance weighting;
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Times Cited By KSCI : 2  (Citation Analysis)
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