PMF모델을 이용한 용인ㆍ수원 경계지역에서 PM<SUB>10</SUB> 오염원의 확인과 상대적 기여도의 추정

다국어 초록 (Multilingual Abstract)

The purpose of this study was to extensively identify PM<SUB>10</SUB> sources and to estimate their contributions to the study area, based on the analysis of the PM<SUB>10</SUB> mass concentration and the associated inorganic elements, ions, and total carbon. The contribution of PM<SUB>10</SUB> sources was estimated by applying a receptor method because identifying air emission sources were effective way to control the ambient air quality. PM₁? particles were collected from May to November 2007 in the Yongin-Suwon bordering area. PM<SUB>10</SUB> samples were collected on quartz filters by a PM<SUB>10</SUB> high-volume air sampler. The inorganic elements (Al, Mn, V, Cr, Fe, Ni, Cu, Zn, Cd, Pb, Si, Ba, Ti and Ag) were analyzed by an ICP-AES after proper pre-treatments of each sample. The ionic components of these PM10 samples (Cl?, NO₃?, SO₄²?, Na?, NH₄?, K?, Ca²? and Mg²?) were analyzed by an IC. The carbon components (OC1, OC2,OC3, OC4, OP, EC1, EC2 and EC3) were also analyzed by DRI/OGC analyzer. Source apportionment of PM<SUB>10</SUB> was performed using a positive matrix factorization (PMF) model. After performing PMF modeling, a total of 8 sources were identified and their contribution were estimated. Contributions from each emission source were as follows: 13.8% from oil combustion and industrial related source, 25.4% from soil source, 22.1% from secondary sulfate, 12.3% from secondary nitrate, 17.7% from auto emission including diesel (12.1%) and gasoline (5.6%), 3.1% from waste incineration and 5.6% from Na-rich source. This study provides information on the major sources affecting air quality in the receptor site, and therefore it will help us maintain and manage the ambient air quality in the Yongin-Suwon bordering area by establishing reliable control strategies for the related sources.