• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.921-925
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• 2007

하천의 유량자료는 수위, 우량 등과 함께 수문 해석을 위해 매우 중요하다. 유량자료는 수자원을 정확하게 파악하기 위해 가장 중요한 자료이기 때문에 측정을 위해 많은 노력을 기울이고 있다. 그러나 유량측정은 다른 수문관측과는 달리 변동성이 크고 오차의 범위가 커서 실제 활용에 많은 한계가 있는 것도 사실이다. 유량은 유속계를 이용하여 현장에서 인력으로 직접 측정되기 때문에 현장의 측정조건, 측정하는 사람의 기술적 숙련도 등에 따라 크게 변화할 수 있는 요소를 가지고 있다. 또한 유량자료는 대부분의 경우 연속적인 자료획득이 곤란하기 때문에 수위-유량관계를 이용하여 연속측정된 수위를 유량으로 환산한다. 이와 같은 수위-유량관계는 현장의 조건이 변화하지 않는다는 가정하에서 이루어지는 것이므로 실제 현장에서 발생하는 변화를 고려할 수 없는 한계가 있다. 본 연구에서 유량 모니터링 대상인 서낙동강은 정체수역으로서 하천의 상류와 하류에 대저수문과 녹산수문이 위치해 있고, 두 수문의 개방시 일정시간 동안의 연속적이고 정확한 유량변화의 측정을 필요로 한다. 서낙동강은 녹산수문에서 바다와의 수위차를 고려하여 수문을 개방하기 때문에 대저수문과 녹산수문의 개방 시기 및 시간이 매 순간 유동적이다. 본 연구에서는 서낙동강의 수질 및 수량 관리를 위하여 수문운영에 따른 유량변화를 측정하고자 하였으며, 전술한 바와 같은 한계를 극복하기 위해 유량측정장비는 최첨단 장비인 ADCP를 활용하였다. ADCP(Accoustic Doppler Current Profiler)는 최근에 하천유량측정을 위해 활용되고 있는 장비로서 음파의 도플러 효과를 이용하여 하천을 횡단하면서 단시간에 유속과 유량을 측정한다. 국내의 경우 1990년대 후반부터 도입된 ADCP는 유량측정 기법과 현장 적용상의 문제가 일정부분 검토되고 있다. 본 연구에서는 기존의 유속계를 이용해서 측정한 유량값과 비교하여 ADCP에 의한 결과를 검증하고, 수문운영에 따른 비정상 유량변화를 모니터링하고자 하였다.

• Applied Chemistry for Engineering
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• v.23 no.1
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• pp.59-64
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• 2012

Polystyrene latex spheres (PLS) were prepared as artificial dusts by the emulsion polymerization with potassium persulfate (KPS) and sodium dodecyl sulfonate (SDS) as an initiator and a stabilizer, respectively. The reaction temperature and the concentration of the initiator and stabilizer were chosen as variables to control the PLS particle size. As temperature increased, the particle size decreased considerably. Furthermore, the PLS particle size and their size distributions can be controlled minutely by adjusting the concentrations of KPS and SDS. It is confirmed that the PLS prepared in this work is monodispersed with the coefficient of variance less than 7% and are in the range of 0.1~0.5 ${\mu}m$, which are good for using as artificial dusts.

• Korean Journal of Ecology and Environment
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• v.41 no.2
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• pp.264-274
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• 2008

Seasonal variations of cyanobacterial toxins (microcystins) in Yeongehun reservoir were studied from March to December, 2007. High level of microcystins production was shown during the late autumn and winter seasons. Total microcystins concentration increased sharply when the dominant species changed from Anabaena sp. to Microcystis aeruginosa. Microcystins-RR and -YR were the main components of the microcystins, whereas microcystin-LR was detected in small quantities. Especially, large amounts of microcystin-LR were detected when standing crops of M. aeruginosa increased exponentially. Total microcystins concentration showed a negative correlation with water temperature. However, total microcystins were lowly correlated with other environmental factors except for water temperature. As a result, this study clearly demonstrated that M. aeruginosa was the main producer of microcystins in Yeongchun reservoir.

• Korean Journal of Environmental Biology
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• v.20 no.1
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• pp.46-54
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• 2002

We observed zooplankton community to understand variations in the species composition and abundance in Gangjin Bay. Samples were collected bimonthly from February to November 1999 at 10 stations in Gangjin Bay of the southern part of Korea. Zooplankton communities consisted to nine taxa and mean biomass was 2,028 indiv. $m^{-3}$. The maximum abundance was observed to be 5,496 indiv. $m^{-3}$ in February and the minimum in November, 78 indiv. $m^{-3}$. Copepods dominated and most diverse in Gangjin Bay. Seasonal fluctuation in the copepod abundance varied between 42 and 4,159 indiv. $m^{-3}$. Dominant species are Acartia omorii, Centrophages abdominalis, Paracalanus indicus and A. steueri. Cladoceran also dominated and the maximum abundance was 765 indiv. $m^{-3}$ in April. A. omorii and Oithona davisae dominated in February, A. omorii, Eurytemora pacifica, Evadne nordmanni and Podon polyphemoides in April, Tortanus dextrilobatus and decapod nauplius in June, Paracalanus indicus, E. tergestina and Penitia avirostris in August and A. erythraea and P. indicus in October. In November, P. indicus and Sagitta crassa dominated.

• Journal of the Korean Geotechnical Society
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• v.30 no.8
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• pp.25-37
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• 2014

In load and resistance factor design (LRFD) method, resistance factors are typically calibrated using resistance bias factors obtained from either only the data within ${\pm}2{\sigma}$ or the data except the tail values of an assumed probability distribution to increase the reliability of the database. However, the data selection approach has a shortcoming that any low-quality data inadvertently included in the database may not be removed. In this study, a data quality evaluation method, developed based on the quality of static load test results, the engineering characteristics of in-situ soil, and the dimension of aggregate piers, is proposed for use in constructing database. For the evaluation of the method, a total 65 static load test results collected from various literatures, including static load test reports, were analyzed. Depending on the quality of the database, the comparison between bias factors, coefficients of variation, and resistance factors showed that uncertainty in estimating bias factors can be reduced by using the proposed data quality evaluation method when constructing database.

• Journal of the Korean Society of Propulsion Engineers
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• v.17 no.3
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• pp.47-55
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• 2013

Curved duct channel flow characteristics for non-Newtonian gel fluid is investigated. A simulant gel propellant mixed by Water, Carbopol 941 and NaOH solution has been chosen to analyze the gel propellant flow behavior. Rheological data have been measured prior to the flow analysis where water-gel propellant and water-gel propellant with $Al_2O_3$ nano particles are both used. The critical Dean number examined by the numerical simulation in the U-shape duct flow reveals that although water-gel-nano propellants have higher apparent viscosity, the critical Dean number do show no notable difference for both the two gel propellant. It is found that the power-law index may be a dominant parameter in determining the critical Dean number and that the gel with particles addition may be more vulnerable to Dean instability.

• Journal of the Korean Wood Science and Technology
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• v.27 no.3
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• pp.99-116
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• 1999

Wooden hollow core flush door is one of the main products of furniture manufacturing and woodworking industries. Warping and buckling of the door is serious problems in service. It has been reported that warping is caused by differences of physical and mechanical properties of face and back of skin panel for the door. This study focused on the prediction of warping and buckling phenomena of the flush door using numerical models. Predictions from the models were also compared with the experimental results obtained from the doors with plywood and hardboard skin panels under various environmental conditions. Three elastic constitutive models, so called elastic beam model, plate model and plate-buckling model, were employed to predict warping and buckling of the doors. It was observed that warping was more pronounced in low humidity condition than in high humidity condition. The plate model considering Poisson's effect was reliable to predict warping more closely than elastic beam model in low humidity condition. The plate-buckling model, however, was the best in the fitting of predictions with the experimental results under high humidity condition because buckling was developed in face and back of skin panel at that condition.

• Journal of Korea Water Resources Association
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• v.53 no.6
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• pp.417-425
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• 2020

In order to predict and prevent hydrological disasters such as flood, it is necessary to accurately estimate rainfall. In this paper, an areal average rainfall estimation method using multiple elevation observation data of an electromagnetic wave rain gauge is presented. The small electromagnetic rain gauge system is a very small precipitation radar that operates at K-band with dual-polarization technology for very short distance observation. The areal average rainfall estimation method is based on the assumption that the variation in rainfall over the observation range is small because the observation distance and time are very short. The proposed method has been evaluated by comparing with ground instruments such as tipping-bucket rain gauges and a Parsivel. The evaluation results show that the methodology works fairly well for the rainfall events which are shown here.

• Journal of the Korean Society of Food Science and Nutrition
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• v.18 no.1
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• pp.93-100
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• 1989

The effect of each azalea(Rhodoendron mucronulatum) pollen extract on phase I enzyme(aniline hydroxylase)was studied in this experiment. Serum aminotransferases were not changed in mice injected each azalea pollen extract, respectively compared to control group. The hepatic micros mal aniline hydroxylase activities in the presence of each azalea pollen extract were not affected in vitro. After treatment with azalea pollen water extract, hepatic microsomal aniline hydroxylase activity was increased with dose-dependent manner as compared to control group. The increment of hepatic microsmal aniline hydroxylase activity was more powerful by the treatment of water extract. As mice received aniline after pollen butanol and water extract-pretreatment once a day for 5 days, the blood and liver levels of aniline were decreased significantly.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.311-319
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• 2015

In this paper, in order to increase the production efficiency of the industrial plant, and predicts the resources of the manufacturing process, we have proposed a decision-making system for resource implementing the risk management effectively forecasting and risk management. A variety of information that occurs at each step efficiently difficult the creation of detailed process steps in the scenario you want to manage, is a frequent condition change of manufacturing facilities for the production of various products even within the same process. The data that is not contiguous products production cycle also not constant occurs, there is a problem that needs to check the variation in the small amount of data. In order to solve these problems, data centralized manufacturing processes, process resource prediction, risk prediction, through a process current status monitoring, must allow action immediately when a problem occurs. In this paper, the range of change in the design drawing, resource prediction, a process completion date using a regression algorithm to derive the formula, classification tree technique was proposed decision system in three stages through the boundary value analysis.