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발생원에 근거한 울산지역의 대기중금속 분포특성 및 발암위해성 평가
최봉욱,정종현,최원준,전창재,손병현,Choi, Bong-Wook,Jung, Jong-Hyeon,Choi, Won-Joon,Jeon, Chang-Jae,Shon, Byung-Hyun 한국환경보건학회 2006 한국환경보건학회지 Vol.32 No.5
This study has been conducted to evaluate the influence of ambient heavy metals to the air quality and to find their sources in Ulsan. Korea. The distribution characteristics of ambient heavy metals with wind direction were investigated by using pollution-rose diagram. Carcinogenic risk for five trace heavy metals (Pb. Cd, Cr, Mn, and Ni), which are classified to carcinogenic material by US EPA, are assessed according to the classification system of USEPA and WHO. According to pollution-rose calculation on pollutants sources, Pb and Cu in Deoksin, which is an adjacent to Onsan industrial complexes, were $0.1058\;and\;0.3242{\mu}g/m^3$. These concentration levels are the highest at all sampling sites. From this result we could confirm that it was affected by Onsan industrial complex that is located northeast of Deoksin.,And the maximum concentration of Cd, Cr, and Ni were $0.0306,\;0.0102,\;and\;0.0146\;{\mu}g/m^{3} in Yeocheon respectively. Because Yeocheon is in the Mipo industrial complexes, which have many combustors, incinerators, and manufacturing facilities compared to other regions. In carcinogenic risk assessment, Pb, Ni, and Mn concentration level at six sampling sites were lower than the risk level guideline values ($10^{-5}$) of WHO. However, $Cr^{6+}$ and Cd concentration in Yeocheon were 60% and 205% higher than the guideline values of WHO. Therefore it is very important that the emission from industrial complexes were carefully managed and controlled to improve air quality in residential area.
오염원 및 기상 조건에 따른 울산지역의 고농도 대기오염 분포 특성
최봉욱,정종현,최원준,손병현,오광중,Choi, Bong-Wook,Jung, Jong-Hyeon,Choi, Won-Joon,Shon, Byung-Hyun,Oh, Kwang-Joong 한국환경보건학회 2006 한국환경보건학회지 Vol.32 No.4
Five sampling sites were selected to investigate the distribution characteristics of air pollutants with pollution sources and weather conditions in Ulsan. $SO_2,\;NO_2,\;O_3,\;CO,\;PM_{10}$ concentrations and weather conditions with time were analyzed by using several statistical methods. Also, the distribution characteristics of ambient air quality were estimated by pollution-rose and multi-regression analysis. As a result of the analysis, $NO_2,\;CO\;and\;PM_{10}$ concentrations were high in winter season, whereas $SO_2\;and\;O_3$ concentrations were high in summer season. This concentration distribution was caused by the unfavorable geographical location, which the residential area was located at the downwind direction to industrial area. From the pollution-rose, we confirmed that each pollutant influenced the downwind residential areas because of seasonal wind direction. $SO_2$ concentration has shown positive correlation of $0.2{\simm}0.3$ for $NO_2,\;PM_{10}$ and temperature, while $O_3$ concentration has shown negative correlation. Also, $NO_2$ and CO concentrations, pollutants generated by combustion, have shown positive correlation, while $O_3$ concentration and temperature have shown negative correlation. Therefore, it could be suggested that a seasonal air quality policy and a new guideline of air quality was necessary in each season with wind directions to reduce the air pollution level in Ulsan.
최봉욱 ( Bong Wook Choi ),김광섭 ( Gwang Sub Kim ) 대한설비관리학회 2002 대한설비관리학회지 Vol.7 No.4
N/A In this paper, we proposed the newly developed forecasting method that can be easily applicable situations by considering the characteristics of significant independent variables and characteristics of given time series. One remarkable characteristics is that significant independent variables are detected by statistical validation and the detected significant variables are utilized as important input variables for a given model structure. Compared to conventional approach such as Box-Jenkins and neural network, proposed method is better interms of forecasting accuracy.
최봉욱(Bong Wook Choi),김광섭(Gwang Sub Kim) 대한설비관리학회 2000 대한설비관리학회지 Vol.5 No.4
N/A The proposed intelligent 7 days natual gas load forecasting system for a power supplier of a city is based on a combination of artifical neural network technique and correlation analysis logic. The forecasting system is composed of two netual networks, each representing a period of a week. Each network can be sensibilized using different input Information for each period of a week. The input data is determined by degree of the correlation coefficient The proposed revised neural network method shows more improved prediction results than by traditional methods.
최봉욱 ( Bong Wook Choi ),김광섭 ( Gwang Sub Kim ) 대한설비관리학회 2002 대한설비관리학회지 Vol.7 No.3
N/A The Forecasting system has two steps which are outliers detection using neural network and the deteced outliers replace using interpolation. Therefore the effects of outliers are removed, the one-step ahead prediction neural network is constructed by using the filtered series. The two step prediction neural network is also trained by using the previous predicted values. Experimental results indicated that the algorithm show much better than the neural network method. And in conclusion, we can get more accurated forecasting data by using the proposed method.
최봉욱(Bong Wook Choi),왕지남(Gi Nam Wang),김광섭(Gwang Sub Kim) 대한설비관리학회 1999 대한설비관리학회지 Vol.4 No.4
N/A In order to improve forecasting accuracy, we propose a new correction algorithm used the step-wise multiple regression technique for the neural network based forecasting data. The core of the algorithm is regression modelling by the independent variables
정종현,최봉욱,문기내,석성자,김현규,손병현,Jung, Jong-Hyeon,Choi, Bong-Wook,Moon, Ki-Nai,Seok, Seong-Ja,Kim, Hyun-Gyu,Shon, Byung-Hyun 한국환경보건학회 2010 한국환경보건학회지 Vol.36 No.2
This study was undertaken in an attempt to provide scientific grounds in explaining the causes of environmental and respiratory diseases resulting from air pollutants in Gyeongju and its neighboring areas. In relation to heavy metals, lead (Pb) was $0.0135{\sim}0.1744\;{\mu}g/m^3$ and high in order of Pohang, Ulsan, and Gyeongju while nickel (Ni) was $0.0023{\sim}0.0115\;{\mu}g/m^3$. The concentrations of heavy metals in the investigated areas did not exceed the environmental standards or Guideline Value of Korea or other countries. However, it is considered necessary to apply intensive control to some heavy metals including cadmium (Cd) that show a relatively high level of hazard. Based on the responses to the survey, measured personal interest in environmental pollution and the basic knowledge of the causes of the respiratory diseases was higher in those with a family history of allergic reactions to metals and bronchial asthma. The incidence of allergic disease was higher in those who are currently in poor health state. In addition, the general knowledge of environmental pollutants was higher in those with higher educational level and those with a higher interest in environmental pollution. Personal interest in environmental pollution was higher in those with higher basic knowledge of environmental pollutants. Therefore, it is necessary to increase the awareness through better education and campaigns on environmental pollution.
페로니켈 슬래그로 부터 제조된 Mg(OH)<sub>2</sub>를 이용한 CO<sub>2</sub> 고정화
송호양,서종범,강성규,김인득,최봉욱,오광중,Song, Hao-Yang,Seo, Jong-Beom,Kang, Seong-Kuy,Kim, In-Deuk,Choi, Bong-Wook,Oh, Kwang-Joong 한국청정기술학회 2014 청정기술 Vol.20 No.1
본 논문은 페로니켈 슬래그를 이용하여 간접적으로 $CO_2$를 고정화시키는 기술에 대한 연구를 하였으며, 효율적으로 Mg를 추출하여 제조된 $Mg(OH)_2$의 $CO_2$ 고정화 최적 조건을 제시하고자 하였다. 실험 결과, 최적의 추출조건은 1 M $H_2SO_4$, 반응온도 333 K이었으며, 용출액에 NaOH를 첨가하여 pH값을 8까지 높일 경우, 침전물은 $Fe_2O_3$로 확인되었다. 또한 pH 값이 11까지 높아질 때, 그 성분은 $Mg(OH)_2$로 나타났다. 이렇게 제조된 $Mg(OH)_2$ slurry 용액을 $CO_2$ 고정화실험에서 준 2차 탄산화반응 모델을 통해 적용한 결과, 반응온도 및 초기 $CO_2$분압에 따라 초기 $CO_2$의 고정화 속도를 증진할 수 있는 반면 반응온도가 323 K 이상 높아질 경우, 고정화속도가 감소하는 것으로 나타났다. 또한 $CO_2$ 고정화반응 시 이온을 조사한 결과, $CO_2$를 고정화 할 수 있는 최적의 pH 조건으로 8.38 이상 유지해야 할 것으로 판단되었다. 종합적으로 본 연구에서는 페로니켈 슬래그를 이용하여 $CO_2$를 고정화하기 위한 최적의 조건을 도출하였으며, 향후 $CO_2$를 고정화 하기 위한 연구의 기초자료로 활용할 수 있을 것으로 판단된다. In this study, the $Mg(OH)_2$ slurry was made form ferro-nickel slag and then used for $CO_2$ sequestration. The experiments were in the order as leaching step, precipitation, carbonation experiments. According to the leaching results, the optimal leaching conditions were $H_2SO_4$ concentration of 1 M and the temperature of 333 K. In the $Mg(OH)_2$ manufacturing step, NaOH was added to increase the pH upto 8, the first precipitation was confirmed as $Fe_2O_3$. After removal the first precipitation, the pH was upto 11, the $Mg(OH)_2$ was generated by XRD analysis. The $Mg(OH)_2$ slurry was used for $CO_2$ sequestration. The pseudo-second-order carbonation model was used to apply for $CO_2$ sequestration. The $CO_2$ sequestration rate was increased by the $CO_2$ partial pressure and temperature. However, $CO_2$ sequestration rate was decreased when temperature upto 323 K. After $CO_2$ sequestrated by $Mg(OH)_2$, the $CO_2$ can be sequestrated stable as $MgCO_3$. This study also presented optimal sequestration condition was the pH upto 8.38, the maximum $MgCO_3$ can be generated. This study can be used as the basic material for $CO_2$ sequestration by ferro-nickel slag at pilot scale in the future.