• KOREAN JOURNAL OF CROP SCIENCE
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• v.46 no.6
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• pp.453-458
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• 2001

The Rural Development Administration (RDA) of Korea now operates a system called Rice Variety Selection Tests (RVST), which are now being implemented in eight Agricultural Research and Extension Services located in eight province RVST's objective is to provide accurate yield estimates and to select well-adapted varieties to each province. Systematic evaluation of entries included in RVST is a highly important task to select the best-adapted varieties to specific location and to observe the performance of entries across a wide range of test sites within a region. The rice yield data in RVST for ordinary transplanting in Kangwon province during 1997-2000 were analyzed. The experiments were carried out in three replications of a random complete block design with eleven entries across five locations. Additive Main effects and Multiplicative Interaction (AMMI) model was employed to examine the interaction between genotype and environment (G$\times$E) in the biplot form. It was found that genotype variability was as high as 66％, followed by G$\times$E interaction variability, 21％, and variability by environment, 13％. G$\times$E interaction was partitioned into two significant (P＜0.05) principal components. Pattern analysis was used for interpretation on G$\times$E interaction and adaptibility. Major determinants among the meteorological factors on G$\times$E matrix were canopy minimum temperature, minimum relative humidity, sunshine hours, precipitation and mean cloud amount. Odaebyeo, Obongbyeo and Jinbubyeo were relatively stable varieties in all the regions. Furthermore, the most adapted varieties in each region, in terms of productivity, were evaluated.

• Journal of the Korea Society for Simulation
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• v.21 no.3
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• pp.79-88
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• 2012

Recently, the study in efficient operation, maintenance, and equipment-design have been growing rapidly in military industry to meet the required missions. Through out these studies, the importance of Concurrent Spare Parts(CSP) are emphasized. The CSP, which is critical to the operation and maintenance to enhance the availability, is offered together when a equipment is delivered. Despite its significance, th responsibility for determining the range and depth of CSP are done from administrative decision rather than engineering analysis. The purpose of the paper is to optimize the number of CSP per item using simulation and multiple regression. First, the result, as the change of operational availability, was gained from changing the number of change in simulation model. Second, mathematical regression was computed from the input and output data, and the number of CSP was optimized by multiple regression and linear programming; the constraint condition is the cost for optimization. The advantage of this study is to respond with the transition of constraint condition quickly. The cost per item is consistently altered in the development state of equipment. The speed of analysis, that simulation method is continuously performed whenever constraint condition is repeatedly altered, would be down. Therefore, this study is suitable for real development environment. In the future, the study based on the above concept improves the accuracy of optimization by the technical progress of multiple regression.

• Journal of Korean Society of Disaster and Security
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• v.13 no.4
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• pp.75-92
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• 2020

In most cases of the water balance analysis, the return flow ratio for each water supply was uniformly determined and applied, so it has been contained a problem that the volume of available water would be incorrectly calculated. Therefore, sewage and wastewater among the return water were focused in this study and the data-driven model was developed to forecast the outflow from the sewage treatment plant. The forecasting results of LSTM (Long Short-Term Memory), GRU (Gated Recurrent Units), and SVR (Support Vector Regression) models, which are mainly used for forecasting the time series data in most fields, were compared with the observed data to determine the optimal model parameters for forecasting outflow. As a result of applying the model, the root mean square error (RMSE) of the GRU model was smaller than those of the LSTM and SVR models, and the Nash-Sutcliffe coefficient (NSE) was higher than those of others. Thus, it was judged that the GRU model could be the optimal model for forecasting the outflow in sewage treatment plants. However, the forecasting outflow tends to be underestimated and overestimated in extreme sections. Therefore, the additional data for extreme events and reducing the minimum time unit of input data were necessary to enhance the accuracy of forecasting. If the water use of the target site was reviewed and the additional parameters that could reflect seasonal effects were considered, more accurate outflow could be forecasted to be ready for climate variability in near future. And it is expected to use as fundamental resources for establishing a reasonable river water management system based on the forecasting results.

• KCID journal
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• v.13 no.2
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• pp.274-282
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• 2006

The objective of this study was to develop a hydrologic simulation model to predict daily streamflow from a small agricultural watershed considering irrigation return flow. The proposed IREFLOW(Irrigation REturn FLOW) model consists of hillslope runoff model, irrigation scheme drainage model, and irrigation return flow model, and simulates daily streamflow from an irrigated watershed. Two small watersheds were selected for monitoring of hydrological components and evaluating the model application. The relative error (RE) between observed and simulated daily streamflow were 2.9% and 6.4%, respectively, on two small agricultural watersheds (Baran and Gicheon) for the calibration period. The values of RE in daliy streamflow for the validation period were 6.0% for the Baran watershed, and 2.8% for the Gicheon watershed.

• Proceedings of the Korean Society of Crop Science Conference
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• 2004.04a
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• pp.222-223
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• 2004

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.329-333
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• 2019

안전한 수공구조물의 설계를 위하여 가장 큰 홍수량이 유발되는 지속시간 즉, 임계지속시간을 적용할 필요가 있다. 임계지속시간은 유역의 지형 인자 특성에 따라 상이 하다. 다양한 연구자들에 의하여 임계지속 시간은 유역의 지형 인자를 고려하여 추정할 수 있고, 이의 추정에 지형 인자를 고려하는 것이 합리적인 것으로 제안하였다. 본 연구에서는 기존에 발표된 임계지속시간 추정에 관련된 연구 성과를 분석하고, 이를 토대로 다양한 지형특성을 포함하고 있는 유역의 하천에 대하여 지형 인자가 임계지속시간을 추정에 기여하는 중요도를 분석하였다. 각 지형 인자의 중요도 판단 지표로는 베타계수를 활용하였다. 형상계수의 크기에 따라 지형 인자의 중요도는 상이 하였다. 임계지속시간을 지형 인자를 활용하여 회귀모형으로 추정할 때 각 인자의 중요도를 고려하여 변수를 선택하면 상관성이 향상될 수 있을 것으로 기대된다.

• Korean Journal of Environmental Agriculture
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• v.15 no.4
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• pp.455-463
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• 1996

Studies were carried out to determine the effect of sulfur dioxide on leaf injury and yield of ten soybean cultivars. Plants were fumigated with 2.0 ppm of $SO_2$ for 4 or 8 h in a closed-top field chamber. In the comparison of foliar injury, Paldalkong and Eunhakong were more susceptible to $SO_2$ than Bogwangkong, Jangsukong, and Jangkeungkong. Correlations between chlorophyll contents, peroxidase activity, and stomatal resistance of leaves and foliar susceptibility were insignificant. However, significant correlations $(r=-0.611^{\ast})$ were found between superoxide dismutase activity and foliar injury rates. Dry weight, number of pods and total grains were significantly reduced by $SO_2$ fumigation but plant height, number of nods and weight of 100 grains were not affected. Yield reduction rates were higher in Eunhakong and Paldalkong than in Bogwangkong and Jangkeungkong. A liniar relationship was found between foliar injury rate and the percent crop loss with a significant coefficient of b=-1.17 in the susceptible cultivar of Paldalkong, but Bogwangkong, insusceptible cultivar, showed lower value of -0.165.

• Korean Journal of Environmental Agriculture
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• v.22 no.2
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• pp.87-93
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• 2003

Growth and mineral composition of young radish in soil amended with sewage sludge (ISS) with or without liming were investigated. Levels of EC, T-N, and micronutrients were increased in the ISS treatment (50 Mg/ha) compared to the NPK treatment but those of available P and exchangeable cations were decreased. Chlorosis was appear on the young radish leaf at the ISS treatment, but this phytotoxic symptom was corrected with lime amendment (3 Mg/ha). Yields of young radish leaf and root in the combined treatment of ISS and lime were increased about 29 and 48%, respectively, compared with those in the ISS treatment. Contents of P, K, Ca, and Mg in young radish were higher in the combined treatment to ISS and lime, whereas those contents in the ISS treatment were lower than those in the NPK treatment. Contents of Cu, Zn, and Ni in soil and young radish leaf were positively correlated with total N content in young radish leaf, while contents of P, K, Ca, and Mg were negatively correlated. Contents of Cu, Zn, and Ni in leaf were negatively correlated with yield of young radish. Contents of Cu and Zn in leaf corresponding with a 5% yield reduction of young radish were 22.4 and 349 mg/kg, respectively.

• Journal of Bio-Environment Control
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• v.10 no.2
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• pp.125-131
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• 2001

The objective of this study was to estimate the amount of nutrient and water taken up at different growth stages by cucumber (Cucumis sativus L. cv. Eunsung Backdadagi) grown in a closed substrate culture system. The amount of nutrient solution absorbed increased in proportion to days from planting at the first stage of growth and depended on the level of radiation after the mid stage of growth. After the mid growth stage, the amount of nutrient solution absorption was maintained at 80-100 mg.MJ$^{-1}$ . Total amount of absorbed inorganic ions except S increased since the nutrient solution absorption increased with the level of radiation, although the absorption rate of each inorganic ion declined. A highly significant correlation ($R^2$>0.9) was found between amount of inorganic ions absorbed and days after planting, LAI, total dry weight and leaf dry weight, but not with CGR. Correlation coefficient between days after planting and the amount of nutrient solution absorbed per unit radiation level was 0.92. Correlation coefficient between leaf area an the amount of nutrient solution absorbed per unit radiation level was 0.97. Regression of the amount of nutrient solution absorbed per unit radiation level and nutrient ions uptake showed a high significance ($R^2$>0.9).

• Korean journal of applied entomology
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• v.46 no.3
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• pp.409-414
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• 2007

Economic injury levels and economic thresholds were estimated for the american serpentine leafminer (Liriomyza trifolii) on greenhouse eggplant. Liriomyza trifolii density was increased until the late June and decreased after the July in innoculation on may 17. Growth of an aerial plants and fruits were not different in treatment respectively. But total number of fruits and yields were decreased on higher inoculation density. Whereas the rate of yield loss was increased. The rates of damaged leaf by L. trifolii were increased on higher inoculation density and the peak was 65%. The number of commodity fruits and the rates of commodity fruit were become lower than non-treatment (72.2%). The rates of damaged leaf area were 5.3, 11.7, 19.7, 25.7% on inoculation densities and the rates of yield loss were 0.6, 4.8, 9.8, 14.7%, respectively. There existed close correlation between rate of yield loss and inoculation density (Y = 0.76779X + 0.298354, $R^2\;=\;0.9599$). Considerated of the results, the economic injury levels of L. trifolii on eggplant greenhouse was 6.1 adults per 4 plant and the economic thresholds was 4.9 adults per 4 plant.