• Title/Summary/Keyword: 증기추출법

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Simultaneous Determination of Mercury and Arsenic by Reductive Vapor Generation-ICP-AES (환원 증기 발생법-유도결합 플라즈마 원자방출 분광계를 이용한 수은과 비소의 동시 분석법)

  • Shin, Hyung-Seon;Choi, Man-Sik;Kim, Kang-Jin
    • Analytical Science and Technology
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    • v.12 no.4
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    • pp.273-278
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    • 1999
  • Simultaneous determination of mercury and arsenic has been studied by reductive vapor generation-ICP-AES. Samples were digested with a microwave digestion system and extracted with acids. Reductive vapor generation was carried out with 6N HCI and 2% $NaBH_4$. Detection limit of Hg and As are found to be 0.06 ppb and 0.08 ppb, respectively. Measured values of Hg and As in inorganic samples agree well with reference value of SRMs, but the recovery of As from organic samples is obtained approximately 80% of the reference values.

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Laboratory Tests for Trichloroethylene (TCE) and Toluene Remediation in Soil Using Soil Vapor Extraction (토양증기추출(Soil Vapor Extraction)을 이용한 토양 내 Trichloroethylene (TCE)과 Toluene정화 실험)

  • 이민희;강현민
    • Economic and Environmental Geology
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    • v.35 no.3
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    • pp.221-227
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    • 2002
  • Column experiments were performed to evaluate the removal efficiency of soil vapor extraction (SVE) iota TCE (trichloroethylene) and toluene in soil. Homogeneous Ottawa sands and real soils collected from contaminated area were used to investigate the effect of soil properties and SVE operation conditions on the removal efficiency. In column teats with two different sizes of Ottawa sand, the maximum effluent TCE concentration in a coarse sand column was 442 mg/L and 337 mg/L in a fine sand column. However, after 20 liter gas flushing, the effluent concentrations were very similar and more than 90% of initial TCE mass were removed from the column. For two real contaminated soil columns, the maximum effluent concentration decreased 50% compared with that in the homogeneous Ottawa coarse sand column, but 99% of initial TCE mass were extracted from the column within 40 liter air flushing, suggesting that SVE is very available to remove volatile NAPLs in the contaminated soil. To investigate the effect of contaminant existing time on the removal efficiency, an Ottawa sand column was left stable for one week after TCE was injected and the gas extraction was applied into the column. Its effluent concentration trend was very similar to those for other Ottawa sand columns except that the residual TCE after the air flushing showed relatively high. Column tests with different water contents were performed and results showed high removal efficiency even in a high water content sand column. Toluene as one of BTEX compounds was used in an Ottawa sand column and a real soil column. Removal trends were similar to those in TCE contaminated columns and more than 98% of initial toluene mass were removed with SVE in both column.

Biofiltration of soil Vapor Extraction Off-gas from Gasoline Contaminated Soil Using a Compost (퇴비를 이용한 가솔린 오염토양증기추출 배가스의 바이오필터 처리)

  • 남궁완;박준석
    • Journal of Korea Soil Environment Society
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    • v.4 no.3
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    • pp.25-33
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    • 1999
  • The recent emergence of biofiltration as a cost effective waste-gas control technology has stimulated in European countries and the USA. Biofiltration of soil vapor extraction off-gas from gasoline contaminated site was simulated in lab-scale in this study. A filling material used was a compost. This study was conducted to evaluate biofiltration characteristics of the compost material for gasoline off-gas. TPH elimination capacity at the gas loading rate of about 50g/$\textrm{m}^3$((filling material)/hr was circa 40g/$\textrm{m}^3$((filling material)/hr. Removal rate of xylene was the highest among BTEX. while it was the lowest in case of bezene. The maximum elimination capacity of the compost was about 1.5g/$\textrm{m}^3$((filling material)/hr for benzene. More than 95% of trimethylbenzene and naphtalene were removed below the loading rate of 0.7g/㎥(filling material)/hr. About 80% of total TPH and BTEX were removed by biodegradation.

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DME도입 시장환경

  • Gang, Jeong-Uk
    • LP가스
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    • s.105
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    • pp.43-50
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    • 2006
  • 연료로서의 DME 디메틸에테르(화학식 CH -O-CH ,DME)는 당초 가정용 캔 스프레이 등 분사 약제인 프레온의 대체 물질로 사용되기 시작했다. 그 후 양호한 압축 착화성이나 무연 연소하는 성질을 가지는 등 디젤 엔진의 연로로서 LP 가스와 동등한 증기압을 가져 LP가스의 대체연료로서 현재 전 세계에서 활발히 연구개발이 이뤄지고 있다. DME의 재료는 천연가스, 석탄, 바이오매스 등 다양한 자원에서 제조가 가능한데 이들로부터 합성가스(CO,H )를 추출.합성해 제조한다. 이것은 경제규모에 미달하는 부존자원의 유효한 이용이나 자원의 다양화에도 연결되기 때문에 차세대 연료로서 주목받고 있다. 천연가스로부터 저가로 대량 생산이 가능한 직적법이나 메탄올을 탈수해 제조하는 간접법 등 제조 기술도 확립되어 있다.

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Heating Characteristics of the Soils for the Application of Electrical Resistance Heating with Soil Vapor Extraction (전기 저항열을 이용한 유류 오염토 복원공정 적용을 위한 토양의 가열특성 연구)

  • Yun Yeo-Bog;Ko Seok-Oh;Park Gi-Ho;Park Min-Ho
    • Journal of Soil and Groundwater Environment
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    • v.11 no.1
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    • pp.45-53
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    • 2006
  • This study was performed to evaluate the heating characteristics of soils for the application of electrical resistance heating process combined with soil vapor extraction. Laboratory tests were conducted to find out optimum heating conditions by the adjustment of electrical supply and electrode. Results show that fine soil particles are more efficient for electrical heating. As water content of soil increases, more efficient electrical heating is observed. However, as the soil is saturated with water above the soil porosity, decrease in the heating efficiency is observed. The higher the voltage, is and the shorter the distance between the electrodes is, the better the heating efficiency is. The soil contaminated by fuel is also more efficient than non-contaminated soil in electrical resistance heating. From the relationship between the intial electrical current and the conductivity obtained in this study, soil temperature by electrical heating can be estimated.

Prediction of Defect Size of Steam Generator Tube in Nuclear Power Plant Using Neural Network (신경회로망을 이용한 원전SG 세관 결함크기 예측)

  • Han, Ki-Won;Jo, Nam-Hoon;Lee, Hyang-Beom
    • Journal of the Korean Society for Nondestructive Testing
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    • v.27 no.5
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    • pp.383-392
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    • 2007
  • In this paper, we study the prediction of depth and width of a defect in steam generator tube in nuclear power plant using neural network. To this end, we first generate eddy current testing (ECT) signals for 4 defect patterns of SG tube: I-In type, I-Out type, V-In type, and V-Out type. In particular, we generate 400 ECT signals for various widths and depths for each defect type by the numerical analysis program based on finite element modeling. From those generated ECT signals, we extract new feature vectors for the prediction of defect size, which include the angle between the two points where the maximum impedance and half the maximum impedance are achieved. Using the extracted feature vector, multi-layer perceptron with one hidden layer is used to predict the size of defects. Through the computer simulation study, it is shown that the proposed method achieves decent prediction performance in terms of maximum error and mean absolute percentage error (MAPE).

Quantitative Analysis of Platycodin D from Platycodon grandiflorum by HPLC-ELSD (HPLC-ELSD법에 의한 길경의 platycodin D 정량분석)

  • Kim, Geum-Soog;Kim, Hyun-Tae;Seong, Jae-Duck;Park, Hee-Saeng;Kim, Soo-Dong
    • Korean Journal of Medicinal Crop Science
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    • v.10 no.3
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    • pp.200-205
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    • 2002
  • Platycodin D was isolated from n-butanol extract of Platycodi radix(Platycodon grandiflorum and identified by the spectroscopic analysis using $^1H$ and $^{13}C$ NMR techniques. A new method of analysis of platycodin D by high performance liquid chromatography(HPLC) was established using a reversed phase system with YMC-Pack ODS-AM( 250 X 4.6 mm) column and 30% acetonitrile as a mobile phase. Evaporative light scattering detector was used as detector. The kinds of extraction solvents and methods were examined to determine the efficient extraction condition and HPLC analysis was carried out to establish the optimum drying condition for the root of Platycodon grandiflorum. The contents of Platycodin D was highest as 0.083% when platycodon roots were dried at $60^{\circ}C$ using dry oven.

Remediation for Gasoline Contaminated Soils with SVE (soil vapor extraction) Including a Post-treatment System of Extraction Gases (배출가스의 후처리 공정을 포함한 토양증기추출법을 이용한 가솔린 오염 토양 복원)

  • 이민희;강현민;이병헌;빈정인
    • Journal of Soil and Groundwater Environment
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    • v.9 no.2
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    • pp.28-40
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    • 2004
  • Box experiments were performed to evaluate the removal efficiency of SVE (soil vapor extraction) for gasoline in soil. An activated carbon sorption tower and a biofilter were operated as post-treatment processes to remove VOCs extracted from extraction wells of SVE. An acrylic resin box (65 cm${\times}$20 cm${\times}$30 cm) was used to make artificial soil layers and two injection wells and one extraction well were built for SVE process in the box. Gases from extraction wells flew into the activated carbon sorption tower or the biofilter. Gasoline concentrations of VOCs emitted from the extraction well were compared with those after post treatments. More than 92% of initial gasoline mass in soil were removed by SVE within few days, suggesting that SVE is very available to remove VOCs from contaminated soils. To treat VOCs from extraction wells of SVE, an activated carbon sorption tower and a biofilter were attached to SVE process and their gasoline removal efficiencies were measured. These post treatment systems lowered gasoline concentrations to below 1.0 ppm within few days. Average remediation efficiency was 98% of gasoline for the activated carbon sorption tower and 84.1% for the biofilter. The maximum removal capacity of a biofilter was 10.7 g/L/hr, which was ten times higher than general biofilter removal capacity. Results from the study suggest that the activated carbon sorption tower and the biofilter would be available for the post treatment process to remove VOCs generated from SVE process.

A novel approach to the classification of ultrasonic NDE signals using the Expectation Maximization(EM) and Least Mean Square(LMS) algorithms (Expectation Maximization (EM)과 Least Mean Square(LMS) algorithm을 이용하여 초음파 비파괴검사 신호의 분류를 하기 위한 새로운 접근법)

  • Daewon Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.1
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    • pp.15-26
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    • 2003
  • Ultrasonic inspection methods are widely used for detecting flaws in materials. The signal analysis step plays a crucial part in the data interpretation process. A number of signal processing methods have been proposed to classify ultrasonic flaw signals. One of the more popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature space. This paper describes an alternative approach which uses the least mean square (LMS) method and expectation maximization (EM) algorithm with the model based deconvolution which is employed for classifying nondestructive evaluation (NDE) signals from steam generator tubes in a nuclear power plant. The signals due to cracks and deposits are not significantly different. These signals must be discriminated to prevent from happening a huge disaster such as contamination of water or explosion. A model based deconvolution has been described to facilitate comparison of classification results. The method uses the space alternating generalized expectation maximization (SAGE) algorithm In conjunction with the Newton-Raphson method which uses the Hessian parameter resulting in fast convergence to estimate the time of flight and the distance between the tube wall and the ultrasonic sensor Results using these schemes for the classification of ultrasonic signals from cracks and deposits within steam generator tubes are presented and showed a reasonable performances.

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Antifungal Activity of Essential Oil from Asarum sieboldii against Epidermal and Opportunistic Pathogenic Fungi (세신 정유 추출물의 피부진균 및 기회감염진균에 대한 항진균 효과)

  • Han, Kap-Hoon
    • The Korean Journal of Mycology
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    • v.35 no.1
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    • pp.58-60
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    • 2007
  • Root of Asarum sieboldii has been used in chinese medicine. It was been known that the extract of A. sieboldii has medicinal effect such as antifebrile, anodyne, and anti-inflammatory. Antifungal activity of the essential oil extracted from A. sieboldii against various epiderman and opportunistic human pathogenic fungi was investigated. Steam-distillated essential oil demonstrated very high antifungal activity against Aspergillus fumigatus, Aspergillus niger, Cryptococcus neoformans, and Candida albicans. MIC (minimum inhibitory concentration) of the essential oil against C. albicans was 5 ul/ml, indicating that the essential oil may be used as natural preserves for cosmetic and nutritional products.