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지하수 중 다환방향족탄화수소류(PAHs, Polycyclic Aromatic Hydrocarbons)의 동시분석법 마련 및 수질실태조사
김덕현,박선화,윤종현,최효정,김문수,정도환,김영,김현구,Kim, Deok Hyun,Park, Sunhwa,Yoon, Jong Hyun,Choi, Hyojung,Kim, Moonsu,Jeong, Do Hwan,Kim, Young,Kim, Hyun-Koo 한국지하수토양환경학회 2020 지하수토양환경 Vol.25 No.4
Polycyclic aromatic hydrocarbons (PAHs) are organic compounds that tend to persist in environmental media for a long period of time. This work presents a 2-year monitoring study of occurrence of three PAHs (benzo(a)pyrene, naphthalene, and fluoranthene) in groundwater. The groundwater samples were collected from 106 sites of nation's groundwater quality monitoring network and analyzed by simultaneous analysis method to quantify the concentrations of the PAHs. Benzo(a)pyrene was not detected in all samples. Naphthalene and fluoranthene concentrations ranged from not detected to 12.8 ng/L and not detected to 10.5 ng/L with their detection frequency being 57.8 and 4.2%, respectively. The concentrations of PAHs in ground- and drinking waters are not currently regulated in Korea, but the concentration levels of naphthalene and fluoranthene found in this work were lower than the regulatory limits of other countries (naphthalene 0.001~0.07 mg/L, fluoranthene 0.001~1.4 mg/L). The monitoring result of this study revealed that PAHs exist as trace amounts in domestic groundwater, however continuos monitoring is necessary to protect groundwater from PAHs contamination with growing industrialization and urbanization.
석유계 총 탄화수소(Total Petroleum Hydrocarbons, TPH) 분획분석법을 이용한 지하수 중 유류오염물질 분포특성 평가
김덕현,박선화,최민영,김문수,윤종현,이경미,전상호,송다희,김영,정현미,김현구,Kim, Deok Hyun,Park, Sunhwa,Choi, Min-Young,Kim, Moonsu,Yoon, Jong Hyun,Lee, Gyeong-Mi,Jeon, Sang-Ho,Song, Dahee,Kim, Young,Chung, Hyen Mi,Kim, Hyun-Koo 한국지하수토양환경학회 2018 지하수토양환경 Vol.23 No.5
Total petroleum hydrocarbon (TPH) is a mixture of various oil substances composed of alkane, alkene, cycloalkane, and aromatic hydrocarbons (benzene, toluene, ethylbenzene, xylene, etc.). In this study, we investigated 92 groundwater wells around 36 gas stations to evaluate distribution characteristics of petroleum hydrocarbons. Groundwater in the wells was sampled and monitored twice a year. The fraction analysis method of TPH was developed based on TNRCC 1006. The test results indicated aliphatic and aromatic fractions accounted for 28.6 and 73.8%, respectively. The detection frequencies of TPH in the monitoring wells ranged in 21.6 - 24.2%. The average concentration of TPH was 0.11 mg/L with the concentration range of 0.25~0.99 mg/L. In the result of TPH fraction analysis, in aliphatic fractions were 19% (C6-C8 : 0.2%, C8-C10 : 0.4%, C10-C12 : 0.4%, C12-C16 : 0.5%, C16-C22 : 1.0%, C22-C36 : 16.6%), and aromatic fractions were 81% (C6-C8 : 1.1%, C8-C10 : 0%, C10-C12 : 2.9%, C12-C16 : 0.3%, C16-C22 : 4%, C22-C36 : 66.8%). Fractions of C22-C36 were detected in about 83% of the monitoring wells, suggesting non-degradable characteristics of hydrocarbons with high carbon content.
Alcaligenes sp.의 생장과 인 제거에 미치는 이종 중금속 혼합의 독성 효과
김덕현 ( Deok Hyun Kim ),유진 ( Jin Yoo ),정근욱 ( Keun Yook Chung ) 한국환경농학회 2016 한국환경농학회지 Vol.35 No.1
BACKGROUND: This study was initiated to quantitatively evaluate the effects of five heavy metals on the growth and P removal efficiencies of Alcaligenes sp., known as the Phosphorus Accumulating Organisms (PAOs). It was cultivated in the batch system with five heavy metals, such as Cd, Cu, Zn, Pb and Ni, added in single and binary mixtures, respectively. METHODS AND RESULTS: IC50 (half of inhibition concentration of bacterial growth) and EC50 (half of effective concentration of phosphorus removal Efficiencies) were used to quantitatively evaluate the effects of heavy metals on the growth and phosphorus removal Efficiencies of Alcaligenes sp. In addition, Additive Index Value (A.I.V.) method was used to evaluate the interactive effects between Alcaligenes sp. and heavy metals. As a result, as the five heavy metals were singly added to Alcaligenes sp., the greatest inhibitory effects on the growth and P removal efficiencies of each bacteria was observed in the cadmium (Cd). In the binary mixture treatments of heavy metals, the treatments of lowest IC50 and EC50 were the Cd + Cu treatment. Based on the IC50 and EC50 of the binary mixtures of heavy metals treatments, most interactive effects between the heavy metals were found to be antagonistic. CONCLUSION: Based on the results obtained from this study, it appears that they could provide the basic information about the toxic effects of the respective treatments of single and binary mixtures of heavy metals on the growth and P removal efficiencies of Alcaligenes sp. through further study about the characterization of functional proteins involved in toxic effects of heavy metals.
Alcaligenes sp.와 Pseudomonas sp.의 공동배양조건에서 박테리아 생장 및 인제거에 미치는 두 종 중금속의 상호적인 독성효과 평가
김덕현 ( Deok-hyun Kim ),박상욱 ( Sang-wook Park ),김덕원 ( Deok-won Kim ),박지수 ( Ji-su Park ),오은지 ( Eun-ji Oh ),유진 ( Jin Yoo ),정근욱 ( Keun-yook Chung ) 한국공업화학회 2020 공업화학 Vol.31 No.6
본 연구는 Alcaligenes sp.와 Pseudomonas sp. 균주를 2종 혼합 배양 시, 혼합균주의 생장 및 인 제거에 5종의 중금속(Cd,Cu, Zn, Pb, Ni)이 미치는 저해효과를 정량적으로 평가하고자 수행되었다. 단일 중금속 처리 시 중금속별 Alcaligenessp.와 Pseudomonas sp. 균주의 IC<sub>50</sub>는 Cd 0.75 mg/L, Cu 10.93 mg/L, Zn 7.08 mg/L, Pb 13.3 mg/L, Ni 15.78 mg/L 인 것으로 나타났다. 중금속 2종 처리 시 IC<sub>50</sub>는 Cd + Cu 처리구에서 가장 낮은 농도를 보였고, Ni + Pb 처리구에서 가장 높은 농도를 보였다. 단일 중금속 처리 시 중금속별 EC<sub>50</sub> 값은 Cd 0.54 mg/L, Cu 11.08 mg/L, Zn 6.14 mg/L, Pb 9.33mg/L 및 Ni 13.81 mg/L이었다. 2종의 중금속 혼합 처리구별 EC<sub>50</sub>은 Cd + Zn 처리구에서 가장 낮은 농도, Zn + Ni처리구에서 가장 높은 농도를 보였다. 2종 혼합 균주에 대한 2종 중금속 처리 결과 도출된 IC<sub>50</sub> 및 EC<sub>50</sub> 값을 기반중금속 별 상호작용 평가 결과, 대부분 길항작용을 보이는 것으로 나타났으나, Cu + Ni 처리구에서는 상승작용을 보이는 것이 확인되었다. 따라서 본 연구 결과는 미생물을 이용한 오폐수 정화 처리 시 미생물의 성장 및 인 제거에 미치는 중금속의 독성으로 인한 저해효과에 대한 기초 자료를 제공할 수 있을 것으로 판단된다. This study was initiated to quantitatively evaluate the inhibitory effects of five heavy metals (Cd, Cu, Zn, Pb, Ni) on bacterial growth and phosphorus removal in the binary culture of Alcaligenes sp. plus Pseudomonas sp. IC<sub>50</sub> values of Alcaligenes sp. plus Pseudomonas sp. for Cd, Cu, Zn, Pb, and Ni were 0.75, 10.93, 7.08, 13.30, and 15.78 mg/L, respectively. For the binary treatments of heavy metals, IC<sub>50</sub> was the lowest in the treatment of Cd + Cu, whereas, it was the highest in the Ni + Pb treatment. The EC<sub>50</sub> values for Cd, Cu, Zn, Pb, and Ni were 0.54, 11.08, 6.14, 9.33, and 13.81 mg/L, respectively. For the binary treatments of heavy metals, EC<sub>50</sub> was the lowest in the Cd + Zn, whereas, the highest in the Zn + Ni. Based on both IC<sub>50</sub> and EC<sub>50</sub> values for the binary culture of bacteria with the binary mixtures of heavy metals, the most interactive effect was found to be antagonistic, though the only synergistic effect was found in Cu + Ni treatment. Therefore, our results can provide basic data on the toxic effects of heavy metals on the bacterial growth and phosphorus removal in the wastewater treatment process.
데이터 마이닝 기법을 통한 COVID-19 팬데믹의 국내 주가 영향 분석: 헬스케어산업을 중심으로
김덕현 ( Kim¸ Deok Hyun ),유동희 ( Yoo¸ Dong Hee ),정대율 ( Jeong¸ Dae Yul ) 한국정보시스템학회 2021 情報시스템硏究 Vol.30 No.3
Purpose This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic. Design/methodology/approach We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models. Findings All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.
김덕현(Deok Hyun Kim),이인수(In Su Lee),차춘남(Chun Nam Cha) 한국산업경영시스템학회 2020 한국산업경영시스템학회지 Vol.43 No.1
To enhance the effectiveness of the FMS (flexible manufacturing system), it is necessary for the manufacturing control system to be upgraded by integrating the cyber and the physical manufacturing systems. Using the CPPS (Cyber-Physical Production System) concept, this study proposes a 4-stage vertical integration and control framework for an aircraft parts manufacturing plant. In the proposed framework, the process controller prepares the operations schedule for processing work orders generated from the APS (advanced planning & scheduling) system. The scheduled operations and the related control commands are assigned to equipments by the dispatcher of the line controller. The line monitor is responsible for monitoring the overall status of the FMS including work orders and equipments. Finally the process monitor uses the simulation model to check the performance of the production plan using real time plant status data. The W-FMCS (Wing rib-Flexible Manufacturing Control & Simulation) are developed to implement the proposed 4-stage CPPS based FMS control architecture. The effectiveness of the proposed control architecture is examined by the real plant’s operational data such as utilization and throughput. The performance improvement examined shows the usefulness of the framework in managing the smart factory’s operation by providing a practical approach to integrate cyber and physical production systems.