| Summary: | 碩士 === 國立成功大學 === 環境工程學系 === 89 === Due to the heavy loading of industries, traffic and population, both PM10 and ozone(O3) are the most serious air pollution problems in Tainan, Kaohsiung and Pingtung areas of Taiwan. The stationary sources including coke oven of steel plant, melting oven of steel plant using heavy oil, electric arc furnace of steel plant, bitumen plant, oil-fired boiler of petrochemical industry, industrial waste incinerator, cement plant of raw-material operation process and pyroprocessing system and power plant and fugitive emission sources, which included construction engineering, open burning and farming waste combustion were investigated in this study to characterize the air pollutions emitted from these sources. Except the investigation for the concentration (mg/Nm3), composition (mg/g), emitted rate (mg/min) and emission factor of metal elements from these sources. The collected samples were digested by using a high pressure bomb and analyzed by using an inductively coupled plasma/atomic emission spectrometry (ICP/AES). Totally 18 elements including Ag, Al, Ba, Ca, Cd, Cr, Cu, Fe, Mg, Mn, Mo, Ni, Pb, Si, Sr, Ti, V and Zn were analyzed in this study. The major results of this study are summarized as follows : 1. Ni and V were significantly higher for the emission sources using heavy oil. 2. Due to the significant influence of feeding stock on the composition of particulates in the stack flue gas, for cement plant, Ca was the indicatory element. Zn was the major pollutant of the anthropogenic elements in the engineering construction sites (3.09 mg/g) and open burning (0.713 mg/g). 3. The emission factors of these stationary sources proposed by this study offer important information for the estimation of total emission, for the establishment of the emission standard and for the policy of air pollutant reduction. 4. The indicatory elements of these sources can be recognized as the tracer elements when using the receptor model to identify the pollution sources. 5. By using the factor analysis to analyze the ambient air of the Chao Jhou receptor; the pollution sources for factor 1 were road dust, steel plant and cement plant; for those of factor 2 were coal-fired power plant and mobile; for those of factor 3 were industrial waste incinerator and natural gas-fired power plant. These results indicated that the factor analysis can be applied to analyze the sources of metal element emission and described the relations between receptor and pollution sources.
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