• Title/Summary/Keyword: Dissolved oxygen(DO)

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Quantitative Visualization of Oxygen Transfer in Micro-channel using Micro-LIF Technique (마이크로 레이저 형광 여기법을 이용한 미세채널 내부에서의 산소 확산에 대한 정량적 가시화)

  • Chen, Juan;Kim, Hyun-Dong;Kim, Kyung-Chun
    • Journal of the Korean Society of Visualization
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    • v.10 no.1
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    • pp.34-39
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    • 2012
  • In the present study, oxygen transfer process across gas-liquid interface in a Y-shape micro-channel is quantitatively visualized using the micro laser induced fluorescence (${\mu}$-LIF) technique. Diffusion coefficient of Oxygen ($D_L$) is estimated based on the experimental results and compared to its theoretical value. Tris ruthenium (II) chloride hexahydrate was used as the oxygen quenchable fluorescent dye. A light-emitting diode (LED) with wavelength of 450 nm was used as the light source and phosphorescence images of fluorescent dye were captured by a CMOS high speed camera installed on the microscope system. Water having dissolved oxygen (DO) value of 0% and pure oxygen gas were injected into the Y-shaped microchannel by using a double loading syringe pump. In-situ pixel-by-pixel calibration was carried out to obtain Stern-Volmer plots over whole flow field. Instantaneous DO concentration fields were successfully mapped according to Stern-Volmer plots and DL was calculated as $2.0675{\times}10^{-9}\;m^2/s$.

A Numerical Simulation of Dissolved Oxygen Based on Stochastically-Changing Solar Radiation Intensity (일사량의 확률분포를 이용한 용존산소의 수치예측실험)

  • LEE In-Cheol
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.34 no.6
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    • pp.617-623
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    • 2001
  • To predict the seasonal variation of dissolved oxygen (DO) in Hakata bay, Japan, possible 20 time-series of different hourly-solar-radiation intensities were generated based on stochastically changing solar radiation intensity, and a numerical simulation on dissolved oxygen (DO) was carried out for each time series by using the Sediment-Water Ecological Model (SWEM). The model, consisting of two sub-models with hydrodynamic and biological models, simulates the circulation process of nutrient between water column and sediment, such as nutrient regeneration from sediments as well as ecological structures on the growth of phytoplankton and zooplankton, The results of the model calibration followed the seasonal variation of observed water quality well, and generated cumulative-frequency-distribution (CFD) curves of daily solar radiation agreed well with observed ones, The simulation results indicated that the exchange of sea water would have a great influence on the DO concentration, and that the concentration could change more than 1 mg/L in a day. This prediction method seems to be an effective way to examine a solution to minimize fishery damage when DO is depleted.

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Optimum Operation of Thermophilic Aerobic Digestion Process for Waste Activated Sludge Minimization

  • Kim, Young-Kee;Choi, Jeong-Woo
    • Journal of Microbiology and Biotechnology
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    • v.12 no.4
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    • pp.683-686
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    • 2002
  • To achieve optimum operation of a thermophilic aerobic digestion (TAD) process for waste activated sludge (WAS), TAD experiments using Bacillus stearothermophilus (ATCC 31197) were carried out to investigate the optimum concentration of dissolved oxygen (DO). TAD reactors were operated at DO concentrations of 0, 1, 2, 3, 4, and 5 ppm, and the results showed that the WAS could be successfully degraded by a TAD system operated with a DO concentration of 1 ppm and above. When the TAD system with an optimum additive (2 mM Ca ion), selected from a previous study, and 1 ppm DO concentration were combined with a thermal pretreatment ($121^{\circ}C$, 10 min), the results exhibited upgraded total suspended solids and an enhanced protein degradation.

Water Mass Structure and Dissolved Oxygen Distribution in Chinhae Bay (진해만의 수괴구조와 용존산소 분포)

  • KIM Cha-kyum;LEE Pil-Yong
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.27 no.5
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    • pp.572-582
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    • 1994
  • To investigate water mass structure and DO(Dissolved Oxygen) distribution in Chinhae Bay, temperature, salinity and DO were observed in the bay in summer and winter from 1990 to 1993, and two-dimensional tidal current and parameter log($H/U^3$) were computed. Shallow water fronts in the bay were formed in summer in Kaduk channel and the central part of the bay having log($H/U^3$) values of $2.0{\sim}2.5$. Oxygen deficiency at the bottom layer in summer occurred in the western and northern part of the bay with weak tidal current, where the value of log($H/U^3$) was more than about 3.5 and $M_2$ tidal current was less than about 20 cm/s. DO concentration at the bottom layer of Kaduk channel and the central channel of the bay having the strong tidal current was more than about 3.5 mg/l. The isolines of DO concentration were nearly parallel to the isovelocity, and the concentrations correlated with the frontal location. The frontal location and DO distribution were influenced by tidal range, river inflow and meteorological conditions, and also correlated with bottom slope characteristics.

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Control of the Dissolved Oxygen Concentration in the Aeration Using Genetic Algorithms (유전 알고리즘을 이용한 폭기조내 용존산소농도 제어)

  • Kim, Chang-Hyun;Hur, Dong-Ryol;Kim, Sang-Hyo;Chung, Hyeng-Hwan
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2479-2481
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    • 2000
  • It is the time-varying dissolved oxygen(DO) dynamics that requires controlling for maintaining the DO concentration in the aeration tank. Many linear controllers have thus been applied. Because of the nonlinearity of the oxygen transfer function together with the time-varying respiration rate, however, the linear controllers are found to poorly perform in many cases. To overcome this limitation, a number of advanced controlling techniques have been developed and applied. In this study, designed GA-PI Controller using genetic algorithm(GA). Genetic algorithms(GAs) are search algorithms based on the mechanics of natural selection and natural genetics. As result of computer simulation, GA-PI controller shows the better control performance especially under the condition of the continuously changing DO set-point. This result represents that GA-PI controller can be a good measure to control the DO concentration in the SBR process which requires the sequential DO set-point change to accomplish the nitrification and denitrification in a single reactor.

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강변여과수 개발부지 지하수의 수리지화학적 특성 -Preliminary results

  • 현승규;우남칠;신우식;함세영
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.09a
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    • pp.579-582
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    • 2003
  • This study is a part of the project to identify water-quality degradation mechanism due to Fe and Mn in the river-bank infiltration system in the Changwon city, Kyungsangnam-Do. Results of hydrogeochemical logging indicated that the matrix of the river bank affects groundwater quality, probably related with the hydraulic conductivities of the different layers of bank deposits. Electric conductivity logging data clearly show various layers of groundwater flows. Further studies are necessary to identify mechanisms of increasing dissolved oxygen contents with depths at some monitoring wells.

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The Characteristics of Water Quality in Mokpo Harbour(I) - Centering on organic pollution and dissolved oxygen in summer- (목포항의 수질 특성(I) - 하계의 유기물 오염과 용존산소를 중심으로 -)

  • 김광수
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.3 no.1
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    • pp.99-109
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    • 1997
  • The in situ observations and the seawater analyses were conducted in July and August, 1996 for the purpose of describing the characteristics of organic pollution, dissolved oxygen distributions, and the evaluation of water quality in Mokpo harbour. The vertical density distribution of water column was found to be in stable structure with higher water temperature and lower salinity on surface layer at ebb tide in summer. In July, dissolved oxygen was shown to be oversaturated on surface and bottom layers, while in August, which was shown to be oversaturated on surface layer, and to be unsaturated on bottom layer as 68∼93% of saturation percentage. Dissolved oxygen of bottom layer in August was evaluated to be under the regular grades, based on Korean standards of seawater quality. In view of COD, the seawater quality of Mokpo harbour in summer was evaluated to be deteriorated due to organic wastes and graded to be the third class, and TSS of Mokpo harbour in summer was graded to be the second class, based on Korean standards of seawater quality. In particular, COD of surface layer in August was found to be under the regular grades. It is, therefore, necessary to take measures for the control of pollution loads and the proper management of seawater quality in Mokpo harbour. The distribution patterns of DO, COD, VSS and Chlorophyll-a on surface layer along the downstream center line from inner harbour to harbour entrance were similar to one another at ebb tide in August.

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Modelling of dissolved oxygen (DO) in a reservoir using artificial neural networks: Amir Kabir Reservoir, Iran

  • Asadollahfardi, Gholamreza;Aria, Shiva Homayoun;Abaei, Mehrdad
    • Advances in environmental research
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    • v.5 no.3
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    • pp.153-167
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    • 2016
  • We applied multilayer perceptron (MLP) and radial basis function (RBF) neural network in upstream and downstream water quality stations of the Karaj Reservoir in Iran. For both neural networks, inputs were pH, turbidity, temperature, chlorophyll-a, biochemical oxygen demand (BOD) and nitrate, and the output was dissolved oxygen (DO). We used an MLP neural network with two hidden layers, for upstream station 15 and 33 neurons in the first and second layers respectively, and for the downstream station, 16 and 21 neurons in the first and second hidden layer were used which had minimum amount of errors. For learning process 6-fold cross validation were applied to avoid over fitting. The best results acquired from RBF model, in which the mean bias error (MBE) and root mean squared error (RMSE) were 0.063 and 0.10 for the upstream station. The MBE and RSME were 0.0126 and 0.099 for the downstream station. The coefficient of determination ($R^2$) between the observed data and the predicted data for upstream and downstream stations in the MLP was 0.801 and 0.904, respectively, and in the RBF network were 0.962 and 0.97, respectively. The MLP neural network had acceptable results; however, the results of RBF network were more accurate. A sensitivity analysis for the MLP neural network indicated that temperature was the first parameter, pH the second and nitrate was the last factor affecting the prediction of DO concentrations. The results proved the workability and accuracy of the RBF model in the prediction of the DO.

Prediction in Dissolved Oxygen Concentration and Occurrence of Hypoxia Water Mass in Jinhae Bay Based on Machine Learning Model (기계학습 모형 기반 진해만 용존산소농도 및 빈산소수괴 발생 예측)

  • Park, Seongsik;Kim, Byeong Kuk;Kim, Kyunghoi
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.34 no.3
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    • pp.47-57
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    • 2022
  • We carried out studies on prediction in concentration of dissolved oxygen (DO) with LSTM model and prediction in occurrence of hypoxia water mass (HWM) with decision tree. As results of study on prediction in DO concentration, a large number of Hidden node caused high complexity of model and required enough Epoch. And it was high accuracy in long Sequence length as prediction time step increased. The results of prediction in occurrence of HWM showed that the accuracy of nonHWM case was 66.1% in 30 day prediction, it was higher than 37.5% of HWM case. The reason is that the decision tree might overestimate DO concentration.

Dissolved Oxygen at the Bottom Boundary Layer of the Ulleung Basin, East Sea (동해 울릉분지 해저 경계면의 용존산소)

  • Kang, Dong-Jin;Kim, Yun-Bae;Kim, Kyung-Ryul
    • Ocean and Polar Research
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    • v.32 no.4
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    • pp.439-448
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    • 2010
  • General consensus on typical vertical profile of dissolved oxygen in the Ulleung Basin is that dissolved oxygen concentration beyond 300 m decreases with increasing depth. However, the results of our observations in 2005 and 2006 revealed three different dissolved oxygen distribution types in the deep layer of the Ulleung Basin. The first type showed oxygen concentration decreasing with increasing depth (Type-1), the second showed oxygen concentration decreasing very sharply near the bottom boundary layer but constant in the bottom adiabatic layer (Type-2), the final was of the oxygen minimum layer above the bottom boundary layer (Type-3). Type-2 was the most common pattern in the Ulleung Basin. Type-1 was most common close to the Japan Basin, including the Ulleung Interplane Gap, while Type-3 was found around Dok do. Oxygen Consumption Rate (OCR) at surface sediment estimated using the dissolved oxygen distribution at the bottom boundary layer was $0.2{\sim}5.8\;mmol{\cdot}m^{-2}d^{-1}$, which coincided with OCR from direct sediment incubation. This implies that organic matter decomposition at surface sediment may play an important role in dissolved oxygen distribution patterns at the bottom boundary layer of the Ulleung Basin.