Nano and Micro Scaled Pore Formation on the Ti-(10-50wt%)Nb Alloys by Electrochemical Methods

In-Jo Hwang(황인조),Han-Cheol Choe(최한철) 한국표면공학회 2016 한국표면공학회 학술발표회 초록집 Vol.2016 No.5

Electrochemical Behaviors of PEO-treated Ti-6Al-4V Alloy in Solution Containing Zn and Si Ions

In-Jo Hwang(황인조),Han-Cheol Choe(최한철) 한국표면공학회 2017 한국표면공학회 학술발표회 초록집 Vol.2017 No.5

Effect of Zn Content on the Corrosion Behavior of Ti-6Al-4V Alloy after Plasma Electrolytic Oxidation

In-Jo Hwang(황인조),Han-Cheol Choe(최한철) 한국표면공학회 2017 한국표면공학회 학술발표회 초록집 Vol.2017 No.5

저탄소 그린캠퍼스 조성을 위한 온실가스 인벤토리 구축 및 감축잠재량 분석

정영진(Yeong Jin Jeong),이개초(Kai Chao Li),김태오(Tae Oh Kim),황인조(In Jo Hwang) 大韓環境工學會 2014 대한환경공학회지 Vol.36 No.7

본 연구는 대구대학교를 대상으로 온실가스 인벤토리를 구축하고, 감축잠재량을 분석할 것이다. 대구대학교의 온실가스 배출량은 연평균 19,413 ton CO₂ eq로 조사되었다. Scope 2의 구입전력부문이 온실가스 총 배출량의 55.4%를 차지하여 가장 많이 기여하는 것으로 계산되었다. 연구기간동안의 온실가스 총배출량에서 Scope 2가 60.4%, Scope 1이 22.6%, Scope 3이 17.0%를 기여하는 것으로 나타났다. 대구대학교의 온실가스 감축잠재량을 파악하기 위하여 재실센서, LED 조명, 태양열시설 등과 같은 시나리오를 작성하고 LEAP 모델을 이용하였다. LED 조명 교체 시 2020년에 BAU 대비 1,656 ton CO₂ eq가 감축되는 것으로 나타났고, 재실센서 설치, 태양열 시설 도입은 각각 1,041 ton CO₂ eq, 737 ton CO₂ eq가 감축되는 것으로 조사 되었다. 감축시나리오를 모두 적용한 결과 2020년 BAU 대비 온실가스 배출량을 약 15% 감축할 수 있을 것으로 계산되었다. The objective of this study is to establish the greenhouse gases (GHG) inventories and estimate the GHG reduction plans for Daegu University from 2009 to 2011. The annual average of GHG emissions in Daegu University was estimated to be 19,413 ton CO₂ eq during the study period. Emissions of electricity usage in Scope 2 most contributed about 55.4% of the total GHG emissions. Also, GHG emissions of Scope 2, Scope 1, and Scope 3 contributed 60.4%, 22.6%, and 17.0%, respectively. In order to estimate reduction potential of GHG, the Long-range Energy Alternatives Planning (LEAP) model was calculated using three scenarios such as sensor installation, LED replacement, and solar facility. The GHG will be reduced by 1,656 ton CO₂ eq for LED scenario, by 1,041 ton CO₂ eq for sensor scenario, and by 737 ton CO₂ eq for solar scenario compared to 2020 business as usual (BAU). Therefore, the total GHG emissions in 2020 apply three scenarios can be reduced by 15% compared with 2020 BAU.

경주지역 석조문화재 풍화에 미치는 대기오염물질의 영향

정종현(Jung, Jong-Hyeon),정민호(Jung, Min-Ho),최원준(Choi, Won-Joon),서정호(Seo, Jung-Ho),황인조(Hwang, In-Jo),손병현(Shon Byung-Hyun) 한국산학기술학회 2010 한국산학기술학회논문지 Vol.11 No.2

경주시의 1∼3종에 해당하는 고정배출원에서 배출되는 오염물질 배출량은 PM-10 0.70 ton/yr, SO₂ 13.95 ton/yr, NOx 37.12 ton/yr로 조사되었고, 면오염원의 경우 PM-10 1.02 ton/yr, SO₂ 13.44 ton/yr, NOx 21.10 ton/yr로 나타났다. 또한 이동오염원의 오염물질 배출량은 PM-10 963.91 ton/yr, SO₂ 1415.02 ton/yr, NOx 5612.70 ton/yr로 조사되었다. 경주, 포항 및 주변지역의 대기 중 PM-10, SO₂ 및 NO₂의 농도분포를 확인한 결과, 고농도 지역은 주로 포항철강공단 및 이동오염원 주변이었다. 경주지역의 SO₂ 농도는 2006년 0.002 ppm에서 2015년 0.005 ppm으로, NO₂는 2006년 0.004 ppm에서 2015년 0.010 ppm으로 증가할 것으로 예측되었다. 이에 대기오염물질을 저감하기 위한 실천방안과 석조문화재를 환경오염물질 및 기타 화학적, 물리적, 생물학적 요인으로 부터 보호하기 위한 실천관리 프로그램이 적극적으로 도입되어야 할 시점으로 사료된다. The amount of pollutants from stationary sources of businesses classified into 1-3 type in Gyeongju was found to be 0.70 ton/yr for PM-10, 13.95 ton/yr for SO₂, and 37.12 ton/yr for NOx ; with respect to area sources, 1.02 ton/yr for PM-10, 13.44 ton/yr for SO₂, and 21.10 ton/yr for NOx ; and with respect to mobile sources 963.91 ton/yr for PM-10, 1415.02 ton/yr for SO₂, and 5612.70 ton/yr for NOx. This study surveyed the concentration distribution of PM-10, SO₂, and NO₂ in the air in around Gyeongju and Pohang, and found that high concentration was mainly distributed around Pohang Steel Industrial Complex and the around of mobile sources. In Gyeongju area, SO₂ was predicted to increase from 0.002 ppm in 2006 to 0.005 ppm in 2015, and that of NO₂ was predicted to increase from 0.004 ppm to 0.010 ppm during the same period. At this point, practicing guidelines to reduce air pollutants and management plan for environmental pollutants should be devised, and also practicing and management programs to protect the stone cultural properties from environmental pollutants and other chemical, physical, and biological factors should be actively introduced.

PMF 모델을 이용한 대기 중 PM-10 오염원의 확인

황인조,김동술 한국대기환경학회 2003 한국대기환경학회지 Vol.19 No.6

The objective of this study was to extensively estimate the air quality trends of the study area by surveying concentration trends in months or seasons, after analyzing the mass concentration of PM-10 samples and the inorganic elements, ion, and total carbon in PM-10. Also, the study introduced to apply the PMF (Positive Matrix Factorization model that is useful when absence of the source profile. Thus the model was thought to be suitable in Korea that often has few information about pollution sources. After obtaining results from the PMF modeling, the existing sources at the study area were qualitatively identified. The PM-10 particles collected on quartz fiber filters by a PM-IO high-vol air sampler for 3 years (Mar. 1999~Dec. 2001) in Kyung Hee University. The 25 chemical species (AI, Mn, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, Pb, Si, Na^(+), NH₄^(+), K^(+), Mg²^(+), Ca²^(+), CI^(-), N0₃^(-), SO₄^(2-), TC) were analyzed by ICP-AES, IC, and EA after executing proper pre-treatments of each sample filter. The PMF model was intensively applied to estimate the quantitative contribution of air pollution sources based on the chemical information (128 samples and 25 chemical species). Through a case study of the PMF modeling for the PM -10 aerosols, the total of 11 factors were determined. The multiple linear regression analysis between the observed PM-10 mass concentration and the estimated G matrix had been performed following the FPEAK test. Finally the regression analysis provided source profiles (scaled F matrix). So, 11 sources were qualitatively identified, such as secondary aerosol related source, soil related source, waste incineration source, field burning source, fossil fuel combustion source, industry related source, motor vehicle source, oil/coal combustion source, non-ferrous metal source, and aged sea-salt source, respectively.

석유화학공업단지에서의 악취성 VOC/VIC의 농도조사

황인조,임득용,김동술 경희대학교 2003 環境硏究 論文集 Vol.12 No.-

Concentrations of malodorous VOC (volatile organic compounds) and VIP (volatile inorganic compounds) is the atmosphere were measured is the Yeas petrochemical industry complex during August 4, 2003 ∼ August 8, 2003. The malodorous VOC/VICs were collected .y medlar .age and 2,4-DNPH cartridges. The 66 malodorous species of VOC/VICs including sulfur, aldehydes, ketoses, alkalis, alkeses, alkyds, naphmheses, and aromatics were analyzed .y GP/MSD, GC/FPD, and GC/NPD. The purpose of this study was to survey the concentration trends malodorous VAC and VIP in the petrochemical industrial complex, and to provide the basic information. which can estalish the effective strategy of odor pollution management and control. The obtained results showed that the average concentrations of malodorous VOC/VICs group is Yeosu industrial complex were 64.19 ppb in alkaline, 60.61 ppb in aldehydes, 47.79 ppb in ketones, 37.86 ppb in alkenes, and 9.88 ppb in aromatics, respectively. The concentrations of propane, ethylene and toluene, is particular, were high is all the sampling sites.

신축 공동주택의 VOCs와 알데히드류 성분에 대한 실태조사

임득용,김지현,황인조,김동술 경희대학교 2004 環境硏究 論文集 Vol.13 No.-

In comparison with other studies, in particular, the emission of indoor HCHO in new apartments were very serious and Vacs showed below the Japan's guidelines (260 ㎍/㎥) excepting toluene (324.31 ㎍/㎥). Concentration of volatile organic compounds (VOCs) including aldehydes in indoor air was analyzed at 3 new apartments (at the lower, middle and upper floors of each apartment) during the Spring in 2004. The sample gases of Vacs and aldehydes were collected by Silicon canister (6 L) and 2,4-DNPH cartridges, and the analysis was made by the GC/MSD and PLC. As a result of the analysis, formaldehyde (HCHO) amongst aldehydes was found the highest (874.63 ppb) at the upper floor of C Apt., and the aldehydes' concentrations were S > C > K Apt. each. Also it did not show an apparent variation of characteristics according to floor. The concentration of VOCs was the highest (819.22 ppb) at the upper floor of C Apt. which exhibited in proportion with height.

서울시 지하철 역사내 라돈의 농도분포

황인조,한근혁,최형욱,김동술,김신도 경희대학교 환경연구소 2001 環境硏究 論文集 Vol.10 No.-

The various existing situations like overpopulation, urbanization, industrialization, and heavy traffic volume in the Seoul metropolitan area have led to the air pollution problem, traffic problem, and increase in opportunities of residing underground place. So, recently in Korea, the residents using underground working place have been of great concerns on indoor air pollutants such as HCHO, radon, particulate matter, carbon monoxide. However, the studies on indoor air pollution have been not extensively conducted in Korea. Indoor radon is an odorless, colorless, tasteless, invisible, inert, and naturally occurring radioactive gas. And it has been known as one of the notorious carcinogens. The purpose of this study was to survey the concentration variations of radon in the subway stations located Seoul metropolitan area. Total of 216 subway stations were surveyed by the continuous radon monitors from Mar. 2001 to Jun. 2001. The study showed that average radon levels of concourses in each line were 1.51, 1.45, 1.51, 1.23, 1.28, 1.37, 1.12, 1.28 pCi/L and those of platforms in each line were 2.09, 1.43, 1.37, 1.67, 1.44, 1.54, 1.40, 1.22 pCi/L, respectively. The study results showed that the average radon concentrations were 1.19 pCi/L in outdoor, 1.34 pCi/L in concourse, and 1.52 pCi/L in platform, respectively.

수원시에 대한 4가지 대기분산모델의 상대적 평가연구

박덕신,황인조,김동술 경희대학교 환경연구소 1998 環境硏究 論文集 Vol.8 No.-

Predictions by four atmospheric dispersion models such as TCM, ISCLT, Valley, and TEM were relatively compared in the Suwon City. Each dispersion model was seasonally modified with hourly TSP, SO_(2), NO_(2), and CO ground-level concentration data observed at two telemetered air monitoring sites operated by the Ministry of Environment. Prediction by each model was performed with the same input data prepared by intensive investigation of meteorological data as well as point, area, and line emission inventories in the target area. To present the paired comparison of each model, relative errors among four different models were calculated with reference statistics which were based on the predicted arithmetic means at a number of 48 different sites for each model. Since the main objective in this study was in the relative differences between models, it is impossible to quantitatively determine rank order for models. However, the results by four models show that the maximum relative errors in TSP, SO_(2), NO_(2), and CO concentration were 97.1%, 92.5%, 118.4%, and 49.7%, respectively.