• Journal of Soil and Groundwater Environment
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• v.9 no.2
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• pp.48-53
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• 2004

This study is objected to estimate the variation of the coefficient of leachate according to designs in landfill cover systems. Design (a) is the unsanitary landfill cover system with 50 cm soil. But Design (b), (c) are sanitary cover systems which are composed of soil top layer, drainage layer, barrier liner(Design (b): Geomembrane(1.5 mm) and compacted clay liner(30 cm), Design (c) compacted clay liner(45 cm)), gas venting layer. Quantity of leachate estimates Rational Method generally and depend on the coefficient of leachate, on one of the factors in Rational Method largely. The coefficient of leachate is defined as the leachate production ratio result from incident precipitation. To estimate the variation of the coefficient of leachate, the authors use HELP(Hydrologic Evaluation of Landfill Performance) Simulation and Pilot Test. As a result of HELP Simulation, the coefficient of leachate is 0.36∼0.42 in Design (a) and 0.03∼0.15 in Design (b), (c) according to designs in landfill cover systems and quality of barrier liner placement. These numerical values are similar to 0.13 with the coefficient of leachate in Pilot Test.

• Journal of Korea Water Resources Association
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• v.50 no.10
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• pp.661-671
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• 2017

The objective of this study was to analyze the flood stage considering the uncertainty caused by the river roughness coefficients and discharge. The methodology of this study involved the GLUE (Generalized Likelihood Uncertainty Estimation) to quantify the uncertainty bounds applying three different storm events. The uncertainty range of the roughness was 0.025~0.040. In case of discharge, the uncertainty stemmed from parameters in stage-discharge rating curve, if h represents stage for discharge Q, which can be written as $Q=A(h-B)^C$. Parameters in rating curve (A, B and C) were estimated by non-linear regression model and assumed by t distribution. The range of parameters in rating curve was 5.138~18.442 for A, -0.524~0.104 for B and 2.427~2.924 for C. By sampling 10,000 parameter sets, Monte Carlo simulations were performed. The simulated stage value was represented by 95% confidence interval. In storm event 1~3, the average bound was 0.39 m, 0.83 m and 0.96 m, respectively. The peak bound was 0.52 m, 1.36 m and 1.75 m, respectively. The recurrence year of each storm event applying the frequency analysis was 1-year, 10-year and 25-year, respectively.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.10a
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• pp.214-219
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• 1997

CANDU원자로의 노심계산을 위한 WIMS-AECL에 적합한 최적의 cross section library를 선정하기 위하여, 연소도에 대한 무한증배계수(k$\infty$)의 변화와 핵연료온도반응도계수, 냉각재온도반응도계수, 감속재온도반응도계수 및 기포반응도들을 계산하여 그 결과를 비교하였다. 그 결과, WIMS-AECL에 WINFRITH와 ENDF/B-V를 사용한 경우 핵연료 온도계수를 제외하고는 무한증배계수와 반응도계수들의 계산차이는 유효연소도 영역에서 크지 않았다. 그러나 연소가 진행됨에 따라 차이가 커짐을 보여주고 있으며, 기존의 POWDERPUFS-V(PPV)결과와는 초기 연소도에서는 차이가 적으나, 연소도가 커짐에 따라 많은 차이를 보여주고 있다. 따라서, 연소된 핵연료 또는 Pu이 함유된 핵연료에 대한 격자실험의 자료에 의하여 평가 및 검증될 수 있을 것이다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.1
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• pp.55-60
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• 2009

This study was conducted to measure tea surface colors using the visible bands ($400{\sim}700$ nm) with near-infrared spectroscopy (NIRS). The surface colors of 117 tea products were measured with a colorimeter. The $a^*/b^*$ (CIE color scale) or a/b (Hunter color scale) ratios in different tea products accounted for about 99.7% of the variation in fermentation degree (FD), indicating that the $a^*/b^*$ (a/b) ratio is a very useful trait for assessing fermentation degree. Also tea powders were scanned in the visible bands used with NIRS. Calibration equations for surface colors and fermentation degree were developed using the regression method of modified partial least-squares (MPLS) with internal cross validation. The equations had low SECV (standard errors of cross-validation), and high $R^2$ (coefficient of determination in calibration) values with $0.779{\sim}0.999$, indicating that the whole bands ($400{\sim}2500\;nm$) with NIRS could be used to rapidly measure traits related to surface color, fermentation degree and other chemical components in tea products with high precision and ease at a time.

• Journal of Korea Water Resources Association
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• v.43 no.6
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• pp.525-531
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• 2010

In this study, the effects of upstream Froude number ($Fr_1$), weir height (h), weir length (L), weir width (W) and main channel width (B) on the discharge coefficient of broad crested side-weirs in a relatively wide rectangular open channel were investigated experimentally. Furthermore the relationship between discharge coefficients of sharp crested side weir and broad crested side weir was studied using the concept of De Marchi discharge coefficient. The effect of $Fr_1$ on the relationship between discharge coefficients of sharp crested side weir and broad crested side weir is decreased in wide open channel and the relative importance of other influential parameters like h/$y_1$, L/B, and W/($y_1-h$) are increased. New estimated equations for the discharge coefficients of broad crested side weir are suggested from regression analysis with the experiment data sets.

• Journal of the Korean Chemical Society
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• v.28 no.6
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• pp.349-354
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• 1984

The relative viscosities and the osmotic coefficients of alkaline metal iodides (NaI, KI, RbI, CsI) in methanol, ethanol, dimethylsulfoxide (DMSO), and sulfolane (TMS) have been measured by Ubbelohde viscometer and vapor pressure osmometry at 45 ∼ $120^{\circ}C.$ The order of A and B coefficients in viscosity for alkaline metal iodides are MeOH > EtOH > TMS > DMSO, and TMS > EtOH > DMSO > MeOH. dB/dT values for the alkaline metal iodides are in the order of NaI > KI > RbI > CsI in the protic solvents, while those for the aprotic solvents are in the reverse order. The order of the osmotic coefficients for the alkaline metal iodides is EtOH > DMSO > MeOH > TMS.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.155-159
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• 2011

본 연구는 만곡수로 외측에 횡월류 위어를 설치하여 곡률반경에 대한 횡월류 유량계수의 특성을 분석하였다. 곡률반경의 변화에 따른 만곡부의 중심각이 180인 수로모형을 설계하였으며, FLOW-3D모형에 적용하여 유량계수를 산정하고 직선 수로와 비교하여 유량계수의 특성을 분석하는데 목적이 있다. 난류모형은 RNG-$\in$ 모형을 사용하였으며, 수치기법으로는 유한체적법을 사용하였다. 모형의 적용성 검정을 위해 기존에 연구되었던 수리실험과 동일한 조건의 수치모의를 수행하여 모형의 적용성을 확인하였다. 본 연구에서는 하폭를 고정시키고 곡률반경를 변화시킴으로써 $R_c/b$의 변화에 따른 유량계수(C)의 변화를 분석하고, 만곡수로의 월류량($Q_{wc}$)에 대한 직선수로의 월류량($Q_{ws}$)의 비, 만곡수로의 평균 월류 수심에 대한 직선수로의 평균 월류 수심($y_{cave}/y_{save}$)과 $R_c/b$의 관계를 분석하였다. 분석결과 유량계수는 상류수심, 월류량, 만곡수로의 곡률반경 등의 변화에 따라 유량계수는 변화하였으며, 직선과 만곡수로에 대해 분석을 수행하였기 때문에 직선수로의 영향인자를 이용하여 만곡수로에 설치된 횡월류 위어의 월류량과 유량계수를 추정 가능할 것이라 판단된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.107-116
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• 2014

A volume density of roughness correction blocks in a channel is defined and the corresponding roughness coefficient(n) is estimated by analyzing the diverse hydraulic characteristics of VR, the product of the average velocity and the hydraulic radius, block Reynolds number ($Re^*$), drag coefficient ($\acute{C}_D$), and the roughness coefficient ($n_b$) of bottom shear. The increase of VR and block Reynolds number causes the exponential decrease of roughness coefficient converged to a constant value as expected. The drag coefficient also exponentially decreases as block Reynolds number increases as well. The drag force is governed by the block shape defined by volume density in high block Reynolds number of turbulent flow region. For more accurate estimation of roughness coefficient the use of the correlation equation of it is required by block Reynolds number and volume density. The regression equations for n-VR, $\acute{C}_D-Re^*$, and $n_b-\acute{C}_D$ are presented. The regression equations of roughness coefficient are also presented by block Reynolds number and volume density. The developed equation of roughness coefficient by block Reynolds number and volume density has practical use by confirming the coincidence between the experimental results and the results of HEC-RAS using the developed equation.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.201-207
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• 2022

In this paper, the relationship between RGB, HSV, La^*b^* colors and sugar content was analyzed using linear regression on apples harvested in the same region. First, as a result of examining the correlation coefficient with sugar content according to each color level, it was found that the (+) region having a positive coefficient and a (-) region having a negative coefficient were separated according to the color level. Also, the correlation coefficient between color and sugar content, represented by the average value, was 0.342 in the La^*b^* color space, which was higher than the coefficient in the RGB and hsv space. That is, this means that the sugar content is related to the color in the La^*b^* space. Also, in the complex color composed of regions with high sugar content, it was found to be R²=0.3627, indicating that it is related to sugar content. In all nine color spaces, it was found to be R²=0.3668. In this case, it was found that the coefficients of v and b^* had an effect on the sugar content. Due to this, it was possible to confirm the validity of the empirical prediction that the higher the b^* representing yellow, the higher the sugar content.

• Journal of Korean Society of Disaster and Security
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• v.8 no.1
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• pp.5-13
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• 2015

In this study, the lateral overflow discharge coefficients for the curvatures of side weir on meandering channel were analyzed. The side weir installed in accordance with the variation of the radius of curvature of the central angle bends with $180^{\circ}$. FLOW-3D model is applied to calculate the discharge coefficients of the side-weir on meandering and straight channels and the characteristics of the discharge coefficients are analysed. In order to verify the numerical model, the results from the hydraulic experiment conducted by the former research are compared with the results simulated by FLOW-3D in the same conditions. The discharge coefficients are calculated for the ratio between curvature ($R_c$) and channel width (b), and the ratio between over flow discharge of the straight channel ($Q_{wc}$) and the meandering channel ($Q_{wc}$) are compared. As the result, the discharge coefficients depend on the weir depth on upstream, and the radius of curvature, so that the discharge coefficients of side weir on the meandering channel can be estimated by them on the straight channel.