• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2006년도 춘계학술대회 논문집
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• pp.407-409
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• 2006

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2008년도 추계학술대회 논문집
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• pp.187-189
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• 2008

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2007년도 추계학술대회 논문집
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• pp.236-237
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• 2007

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2009년도 추계학술대회 논문집
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• pp.111-112
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• 2009

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2010년도 춘계학술대회 논문집
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• pp.547-548
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• 2010

• 한국환경과학회지
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• 제30권3호
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• pp.219-234
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• 2021

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.

• 한국산학기술학회논문지
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• 제14권2호
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• pp.911-918
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• 2013

2차원 RMA2 모형을 이용하여 방류조건에 따른 댐하류 하천의 홍수위, 유속분포 및 하상변동을 분석하였다. 수위분석결과 200년빈도에 의한 영향은 주암댐에서 광천교까지 구간(1.27km)에서 나타났고, 여유고는 댐 직하류 좌안제방 300m 구간에서 0.7m 부족하였다. PMF 방류시는 보성강 전구간에서 제방을 월류하는 것으로 분석되었다. 침수범람구역은 200년 빈도에서는 하천합류부의 일부지점에서 발생하였고, PMF 방류시에는 제방월류로 침수구역이 확대되었다. 하도내의 유속은 교량 및 하도의 폭이 좁은 구간에서 비교적 유속이 크게 나타나 하상저하가 발생하였다.

• 한국대기환경학회지
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• 제25권1호
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• pp.75-89
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• 2009

The purpose of this study was to identify $PM_{2.5}$ sources and to estimate their contributions to the border of Yongin-Suwon area, based on the analysis of the $PM_{2.5}$ mass concentration and the associated inorganic elements, ions and carbon components. The contribution of $PM_{2.5}$ sources were estimated by using a positive matrix factorization (PMF) model to identify air emission sources. For this study, $PM_{2.5}$ samples were collected from May, 2007 to April, 2008. The inorganic elements were analyzed by an ICP-AES. The ionic components in $PM_{2.5}$ were analyzed by an Ie. The carbon components were also analyzed by DRI/OGC analyzer. After performing PMF modeling, a total of 12 sources were identified and their contributions were quantitatively estimated. The contributions from each emission source were as follows: 11.3% from oil combustion source, 3.4% from bus/highway source, 5.8% from diesel vehicle source, 4.7% from gasoline vehicle source, 8.8% from biomass burning source, 15.1 % from secondary sulfate, 5.2% from secondary nitrate source, 13.4% from industrial related source, 4.1% from Cl-rich source, 19.6% from soil related source, 1.0% from aged sea salt, and 7.4% from coal combustion source, respectively. This study provides basic information on the major sources affecting air quality, and then it will help to effectively control $PM_{2.5}$ in this study area.

• EDISON SW 활용 경진대회 논문집
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• 제5회(2016년)
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• pp.120-125
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• 2016

용매화 된 이온들간의 상호작용은 화학을 비롯한 여러 분야에서 중요하게 다뤄지고 있다. 계산화학에 있어 다양한 용매에 용매화 된 이온들간의 상호작용은 분자동력학 시뮬레이션(MD)을 이용한 PMF 계산을 통해 많이 연구되어 왔는데, 본 그룹에서는 물을 표현할 수 있는 다양한 모델과 Salt solution 하에 Na+ 이온과 Cl- 이온 사이 상호작용을 PMF 계산을 통해 알아보았다. 첫 번째로 Polarizable water model인 Tip4p-fq를 사용한 PMF 계산 결과는 아직 진행 중에 있으며 결과적으로는 기본적으로 CHARMM water force field에서 제공해주는 Tip3p 모델 및 양자계산 방법 중 하나인 Ab initio를 이용한 결과와 비교, 분석 할 예정이다. 두 번째로 1M/2M/5M Salt solution의 서로 다른 농도를 사용하여 시뮬레이션 한 결과 1M과 2M에서는 물 속에서 시뮬레이션 한 결과와 큰 차이가 없었으나 농도가 짙은 5M 용매 내에선 $Na^+$이온과 $Cl^-$이온 사이 거리가 멀어질수록 주변 Salt에 영향을 받는 것을 확인 할 수 있었다. 결론적으로 본 연구를 진행함으로써 우리는 서로 다른 전하를 갖는 이온 사이 상호작용에 대한 이해를 더 높일 수 있었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.475-475
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• 2022

The aim of this study is to identify the significant pollutant sources from the tributaries that are affecting the water quality of the study site, the Geum River and provide a solution to enhance the water quality. Multivariate statistical analysis modles such as cluster analysis, Principal component analysis (PCA) and positive matrix factorization (PMF) were applied to identify and prioritize the major pollutant sources of the two major tributaries, Gab-cheon and Miho-cheon, of the Geum River. PCA identifies three major pollutant sources for Gab-cheon and Miho-cheon, respectively. For Gab-cheon, wastewater treatment plant (WWTP), urban, and agricultural pollutions are identified as major pollutant sources. For Miho-cheon, agricultural, urban, and forest land are identified as major pollutant sources. On the contrary, PMF identifies three pollutant sources in Gab-cheon, same as PCA result and two pollutant sources in Miho-cheon. Water quality control scenarios are formulated and improvement of water quality in the river locations are simulated and analyzed with the Environmental Fluid Dynamic Code (EFDC) model. Scenario results were evaluated using a water quality index developed by Canadian Council of Ministers of the Environment. PCA and PMF appears to be effective to identify water pollution sources for the Geum river and also its tributaries in detail and thus can be used for the development of water quality improvement alternative of the above water bodies.