본 연구에서는 PMF 모델을 이용하여 PM2.5에 대한 오염원 확인 및 오염원별 기여도를 분석하였다. A시의 배출원별 기여도 순위는 Secondary Sulfate가 19.8%로 가장 기여도가 높고, 그 다음으로는 Mobile 19.5%, Industry 16.0%, Biomass Buring 14.1%, Secondary Nitrate 14.1%, Oil Combustion 11.6%, Aged Sea Salt 2.6%, Soil 2.5% 등으로 분석되었다. Sulfate와 Ammonium 농도가 배출원별 프로 파일에서 기여도가 가장 높은 오염원으로 분석되었는데, 이는 대기 중에서 가스상 전구물질(SOx와 암모니아 가스)이 광화학 반응하여 생성된 2차 에어로졸인 것으로 분석되었다.

IIn this research, ambient VOCs samples were collected by specially prepared stainless steel canisters from August 2002 to September 2004 at seven representative sites in Gumi. 29 kinds of VOCs which are presented by United States EPA method TO-14 were analyzed using GC/MSD. Based on the monitored data, the characteristics of VOCs concentrations in atmosphere in Gumi were grasped, pollution sources and contributions were also analyzed by PMF model, one kind of receptor models. As a whole, the average annual concentrations of VOCs in industrial complexes were higher than that in residential areas. In residential area1 and residential area2, the VOCs that had high concentrations in industrial complexes showed comparatively lower concentrations. But the aromatic substances mainly attributed to vehicle exhaust showed high concentrations which indicated that VOCs emitting sources in industrial areas have no direct effect on the VOCs concentration in residential areas. The results from PMF modeling indicated that a total of seven sources were independently identified and each source was contributed to the ambient Gumi City from Freon relation source (17%), electronic industrial complex source (27.86%), organic solvent source (19.26%), vehicle exhaust source (17.59%), Textile relation source (8.31%), and unknown source - 1, 2 were up to 2.96%, 7.02% in terms of VOCs, respectively.

Industrial emissions, mainly from industrial complexes, are important sources of ambient Volatile Organic Compounds (VOCs). Identification of the significant VOC sources from industrial complexes has practical significance for emission reduction. VOC samples were collected from July 2019 to June 2020. A Positive Matrix Factorization (PMF) receptor model was used to evaluate the VOC sources in the area. Four sources were identified by PMF analysis, including coating-1, coating-2, printing, and vehicle exhaust. The coating-1 source was revealed to have the highest contribution (41.5%), followed by coating-2 (23.9%), printing (23.1%), and vehicle exhaust (11.6%). The source showing the highest contribution was coating emissions, originating from the northwest to southwest of the sample site. It also relates to facilities that produce auto parts. The major components of VOC emissions from the coating facilities were toluene, m,p-xylene, ethylbenzene, o-xylene, and butyl acetate. Industrial emissions should be the top priority to meet the relevant control criteria, followed by vehicular emissions. This study provides a strategy for VOC source apportionment from an industrial complex, which is helpful in the development of targeted control strategies.

최근 빈번한 기상이변에 따라 발생되는 자연재해에 대한 방재대책의 중요함이 절실히 요청되는 시점에서 수공구조물들의 설계빈도를 상향조정하는 등의 대책이 마련되고 있는 실정을 고려하여 유역의 수문학적 안정성을 확보하기 위한 최적방안을 마련하는데 필요한 강우의 임계지속시간 결정에 대한 연구를 수행하였다. 특히 2002년 여름 강릉지역에 발생한 태풍 "루사"로 인한 집중호우는 기존 PMP 규모를 초과하는 사상 초유의 24시간 최대 강수량(880mm)을 기록하여