논문 상세보기
pp.1355-1367
This study summarizes the relations among PM2.5 concentration, water-soluble ions concentration, metallic element Components characteristics and SPSS in negative ion and metallic element of PM2.5 particle in Miryang.(By the urban area, the industrial complex area and the suburban area according to the season)
PM2.5 concentration of total 72 samples collected from 3 sites turned out to range from 3.47 to 34.7 μg/m3 , and the average concentration was the suburban area-the kin nup(16.00 μg/m3 ) > the urban area-the roof of the old Miryang university(10.32 μg/m3 ) > the industrial complex-Sapo industrial complex(10.29 μg/m3 ). In particular, the suburban area had PM2.5 concentration 1.5 times those of urban area, industrial complex. It was thought although the site was suburban and farm-side without pollutants around, it had a higher concentration value influenced by external factors including the brickyard, small-scale incinerator, driving range construction, construction on the Daegu-Busan express and the widening of the four-lane road between Miryang-Anyang nearby.
As for water-soluble ions among PM2.5 particle collected in Miryang area, SO42− accounted for 60% and NO3−, was 30% in spring and summer. And NO3− accounted for 50% and SO42− was 35% in fall and winter. The AI value of metallic Components among PM2.5 particle collected in Miryang area had a high value influenced by the apartment complex construction and the extension work of road. The industrial complex area had Zn concentration 3 times, and Fe concentration 2 times those of urban area and suburb area. When it comes to the relation with metallic elements in urban area, the highest coefficient of correlation was between Cr-Fe with 0.85, and Pb-Cd turned out in the reverse correlation. Among metallic elements, the coefficients of correlation between Zn and Cr, Mn, Fe, NI were high in industrial complex area. The highest coefficient of correlation was between Mn-Zn with 0.88, meanwhile Ni and Cu, Cd turned out in the reverse correlation in the suburb area. These coefficients of correlation are attributed to the difference in pollutant sources, rather than difference in pollutant and non-pollutant.
