In this study, 1-hour integrated PM 2.5 mass and chemical composition concentrations were monitored at the St. Louis-Midwest Supersite in Illinois. Time-resolved samples were collected one week in each of June 2001 (22 June to 28 June), November 2001 (7 November to 13 November), and March 2002 (19 March to 25 March). A total of 427 samples were collected by CAMM (continuous ambient mass monitor) and 15 compounds were analyzed by AAS, PILS (particle-into-liquid sampler), and TOT (thermal optical transmittance) method. PMF was applied to identify the sources and apportion the PM 2.5 mass to each source for highly time resolved data. In addition, the nonparametric regression (NPR) was applied to identify the predominant directions of local sources relative to wind direction. Also, this study performed compare the NPR analysis and location of actual local point sources at the St. Louis area. The PMF modeling identified nine sources and the average mass was apportioned to gasoline vehicle, road dust, zinc smelter, copper production, secondary sulfate, diesel emission, secondary nitrate, iron+steel, and lead smelter, respectively. These results suggested that this study results will be help for PM2.5 source apportionment studies at similar metropolitan area, establish PM 2.5 standard, and establish effective emissions reduction strategies in Korea.
The objective of this study was to estimate the emission characteristics for PM, PM 10 , and PM 2.5 in the various stationary sources. The particulate matters collected in the various stationary sources such as power plants (Coal and B-C oil), incinerators (municipal and industrial waste), and glass furnaces. The PM and PM 10 , PM and PM 2.5 , PM 10 and PM 2.5 samples were collected using the cyclone type PM 10 , PM 2.5 samplers and 30 species (19 inorganic species, 9 ionic species, OC and EC) were analyzed by ICP, IC, and TOR/IMPROVE methods. The mass concentrations of PM, PM 10 , PM 2.5 from nine stationary sources ranged 0.63~9.58 mg/S㎥, 0.26~7.47 mg/S㎥ and 0.13~6.34 mg/S㎥, respectively. The level of PM 10 , PM 2.5 portion in PM calculated 0.63~0.99, 0.38~0.94, respectively. In the case of emission trend for species, power plant showed high concentrations for Al, Mg, Na, Si, V and SO₄ 2- , respectively. Also, Ca, Fe, K, Si, Cl - , and K + showed high in incinerator. In the case of glass furnace, Na, Pb, K, Si, Na + and SO₄ 2- represented high concentrations. Power plant showed higher EC/OC concentrations than other sampling sites. These results suggest the possible role for complement establishment process of emission inventory and emission management for PM.