http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 조영혁(Young-Hyuck Cho) (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
연구논문 : LEAP 모형을 활용한 전자소재,부품업의 온실가스 감축 잠재량 분석
박영수 ( Yeong Su Park ),조영혁 ( Young Hyuck Cho ),김태오 ( Tae Oh Kim ) 한국환경영향평가학회 2013 환경영향평가 Vol.22 No.6
This study analyzed the energy demand, greenhouse gas emission and greenhouse gas reduction potential of Electronic·Electrical components company. The LEAP model targeting long term energy plan was used to establish the most efficient plan for the companies by examining the climate change policy of government and the countermeasures by companies. A scenario was created by having 11 greenhouse gases reduction plans to be introduced from 2011 as the basic plan. Regarding input data, energy consumption by business place and by use, number of employee from 2009 to 2012, land area and change in number of business places were utilized. The study result suggested that approximately 13,800 TJ of energy will be spent in 2020, which is more than 2 times of 2012 energy consumption. When the integrated scenario based on the reduction plan of companies would be enforced, approximately 3,000 TJ will be reduced in 2020. The emission of greenhouse gases until 2020 was forecasted as approximately 760,000 ton CO2eq. When the integrated scenario would be enforced, the emission will be approximately 610,000 ton CO2eq, which is decrease by approximately 150,000 ton CO2eq. This study will help the efficient responding of eElectronic·Electrical components company in preparing detail report on objective management system and enforcement plan. It will also contribute in their image as environment-friendly companies by properly responding to the regulation reinforcement of government and greenhouse gases emission target based on environment policy.
-
PMF를 응용한 구미시 PM-10 오염원의 정량적 기여도 추정연구
황인조(InJo Hwang),조영혁(Young Hyuck Cho),최우건(Woo Gun Choi),이혜문(Hye Moon Lee),김태오(Tae Oh Kim) 한국대기환경학회 2008 한국대기환경학회지 Vol.24 No.1
The objective of this study was to quantitatively estimate PM-10 source contribution in Gumi City, Korea. Ambient PM-10 samples were collected by a high volume air sampler, which operated for 84 different days with a 24-h sampling basis, from June 14, 2001 though May 19, 2003. The filter samples were analyzed for determining 13 inorganic elements, 3 anions, and a total carbon. The study has intensively applied a receptor model, the PMF (Positive Matrix Factorization) model. 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 secondary sulfate (34%), motor vehicle (26%), soil relation (5%), field burning (3%), industrial relation (3%), secondary nitrate (22%), and incinration (7%) in terms of PM-10 mass, respectively.
-
PMF를 이용한 구미지역의 VOCs 오염원 및 기여도 확인
최우건(Woo-Gun Choi),조영혁(Young-Hyuck Cho),장한성(Han-Sung Jang),김창호(Chang-Ho Kim),김태오(Tae-Oh Kim) 한국냄새환경학회 2010 실내환경 및 냄새 학회지 Vol.9 No.2
본 연구는 2002년부터 2년여에 걸쳐 구미지역을 대상으로 VOCs를 채취하였으며, 이중 TO-14에 제시된 VOCs중 29개 성분을 GC/MSD를 이용하여 분석하였다. 이러한 분석 자료를 바탕으로 구미지역의 대기중 VOCs 농도 경향을 파악하였고, 수용모델의 한 종류인 PMF모델을 이용하여 오염원 및 정량적 기여도를 산출하였다. VOCs의 연평균 농도는 산업단지가 주거지역보다 높은 농도를 보였고, 주거1, 2의 경우 산단에서 고농도로 검출된 VOCs는 비교적 낮은 농도를 보인 반면, 자동차 배출가스가 주 오염원인 방향족 물질들이 높은 농도로 검출되어 산업단지에서 발생하는 VOCs의 직접적인 영향을 받지 않은 것을 알 수 있었다. 분석결과를 바탕으로 PMF 모델을 적용하여 수행한 결과 7개의 VOCs 오염원을 확인하였고, 각 오염원의 정량정 기여도를 파악하였다. 첫 번째 오염원은 Freon relation source로 기여도는 17%로 나타났다. 두 번째 오염원은 구미지역의 특징을 나타낸 Electronic industrial complex source로 기여도는 27.86%로 나타났다. 세 번째 오염원과 네 번째 오염원은 미확인 오염원 Unknown source - 1, 2로 기여도는 각각 2.96%과 7.02%로 나타났다. 다섯 번째 오염원은 다른 물질에 비해 톨루엔이 주로 나타난 Organic solvent source로 확인하였으며, 기여도는 19.26%로 전자산업 관련 오염원 다음으로 높게 나타났다. 여섯 번째 오염원은 방향족 화합물들이 나타나 Vehicle Exhaust source로 확인하였으며, 17.59%의 기여도를 보였다. 마지막 오염원은 섬유산업 관련 오염원인 Textile relation source로 나타났으며, 기여도는 8.31%로 밝혀졌다. 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.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
