The contribution rate of coal-fired power plant analyzed by CMB modeling with component analysis data of PM10

The purpose of this study is to analyze the contribution rate of air pollutants from Taean coal-fired power plants of four measuring points. For this purpose, total mass analysis, metal component analysis, ion component analysis, and carbon analysis were performed on particulate matter 10 (PM10) samples, collected over 24 h. In addition, to perform comparative analysis, data measured by the Ministry of Environment at Pado-ri, Taean-gun was also used. As a result of the analysis, at Pado-ri point, 15km away from the plant, Na+ and SO42- accounted for 12%, respectively, occupying the biggest portion, while at the four neighboring points around the plant, organic carbon (OC) and elemental carbon (EC) accounted for up to 34.8%. The result of factor analysis performed by using SPSS 6 statistical package revealed that four measuring points around the plants have a correlation coefficient greater than 0.9. As a result of chemical mass balance (CMB) modeling, a receptor model, it was found to be the contribution rate of the power plants' four measuring points and standard error within 24% similar to 52% and 0.38 similar to 0.89 mg/m(3), respectively. In detail, a-1 point (Hakam-po) showed the highest contribution ratio, while at a-2 point (Bangal-ri) contribution ratio of biomass burning (27%) was greater than that of emissions from the power plant (24%). In the next study, performing dispersion modeling on air pollutants from power plants and comparing this data with CMB 8 Modeling should be required, to locate pollutant sources and to establish an effective method of converting contribution ratio.