• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.129-129
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• 2011

본 연구에서는 강수예보의 선행시간을 확보하기 위하여 기상청 지상관측망 자료뿐만 아니라 MTSAT-1R 위성영상자료와 수치예보모형인 RDAPS(Regional Data Assimilation and Prediction System) 자료를 활용하고, 입력자료 사이의 물리적인 비선형 상관관계를 효과적으로 고려하기 위하여 인경신경망 기법을 적용한 단시간 강수예측모형을 개발하고자 하였다. 또한 강수의 변화특성을 반영하기 위하여 장마기(6월, 7월)와 태풍기(8월, 9월)로 세분화하여 인공신경망 구축을 위한 학습훈련을 수행하였다. 구축된 모형은 서울지점을 대상으로 선행시간 3, 6, 9, 12시간에 대해서 강수예측을 수행하였다. 2006부터 2008년까지 학습훈련 후 2009년 서울지점의 강수예측결과, 장마기의 상관계수는 각 선행시간에 대해서 0.6998, 0.6498, 0.4434, 0.2961, RMSE(Root Mean Square Error)는 0.7605, 2.8431, 3.1973, 4.2147, 태풍기 상관계수는 0.5368, 0.5089, 0.4164, 0.2392, RMSE는 1.2218, 2.3144, 3.9153, 5.2145로 나타났다. 각 선행시간별로 장마기의 예측결과가 태풍기보다 다소 정확하게 도출되었으며, 선행시간 9시간 이후부터는 정확도가 급격히 낮아지는 결과를 얻었다.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.4
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• pp.337-348
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• 2007

Characteristics in distributions of T, S, nutrients, chlorophyll ${\alpha}$ concentrations and meso-zooplankton abundances and the relations among these parameters were investigated with the data collected in Asan Bay around the rainy season from May 24 till August 25, 2006 at about 10 days interval. Freshwater input during the rainy season clearly affected the distributions of zooplankton and phytoplankton (chlorophyll ${\alpha}$). Freshwater discharge resulted in high nutrients decreased zooplankton abundances. On the contrary, chlorophyll ${\alpha}$ concentrations increased at the end of the rainy season. It seemed that the increase of chlorophyll ${\alpha}$ concentrations was the result of the decreased zooplankton and enriched nutrients caused by freshwater discharges. Seawater temperatures were certainly the reason for the zooplankton succession. However, overall abundance of zooplankton and abundances of some zooplankton such as Noctiluca scintillans, Acartia pacifica, and Sagitta crassa seemed to be influenced by lowered salinity caused by heavy rain rather than seawater temperatures.

• 월간낙농육우
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• v.27 no.7 s.303
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• pp.174-178
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• 2007

• Asian Journal of Turfgrass Science
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• v.26 no.2
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• pp.83-88
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• 2012

When perennial ryegrass was overseeded in bermudagrass fairway, shoot density of perennial ryegrass was gradually increased to $88,000/m^2$ at the end of May, however dramatically decreased to 0 in September over the rainy season. On the other hand, that of bermudagrass increased from $2,000/m^2$ in March to $20,000/m^2$ in early June, and then decreased to $4,000/m^2$ at the end of July, after the rainy season, rapidly increased to $50,000/m^2$ in early September. Overseeding bermudagrass fairway with perennial ryegrass was maintained a good quality from mid-April to mid-June and decreased the quality over the rainy season from late June to July, and then turf quality was decrease to the worst level at the end of July. After the rainy season fairway quality was improved gradually and was the highest-level during September and early October. Trifloxysulfuron-sodium was treated to minimize the deterioration in turf quality due to early bermudgrass transition time in spring. Consequently, transition was started in mid-May and shoot density of bermudagrass treated by trifloxysulfuron-sodium was $70,000/m^2$ in mid-June. Even in the rainy season it was sustained as $30,000/m^2$, approximately three times higher than that of untreated overseeding fairway.

• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.6 no.7
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• pp.60-70
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• 1985

• Agrochemical news magazine
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• v.19 no.4 s.145
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• pp.30-32
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• 1998

• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.11 no.3 s.96
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• pp.84-92
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• 1990

• Proceedings of the KGS Conference
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• 2001.05a
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• pp.138-144
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• 2001

• Korean Journal of Ecology and Environment
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• v.41 no.3
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• pp.382-394
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• 2008

The objective of this study was to analyze temporal trends of water chemistry and spatial heterogeneity between the dam site (Daecheong Reservoir, S1) and the downstream (S2$\sim$S4) using water quality dataset (obtained from the Ministry of Environment, Korea) during 2000$\sim$2007. Water quality, based on eight physical and chemical parameters, varied largely depending on the years, sampling sites, and the discharge volume. Conductivity and nutrients (TN and TP) showed a decreasing trend in the downstream (S4) rather than the dam site during the monsoon. Spatial variation increased toward downstream (S4) from Daecheong Reservoir (S1). Also, BOD and COD increased toward downstream. Because of input of nutrient and pollutant nearby S1, lentic ecosystem in monsoon, BOD and COD were slightly increased. whereas relatively decreased in S4, lotic ecosystem in monsoon, by dilution effect of nutrient and pollutant by discharge from upper dam, S1. Spatial variation of SS increased toward downstream (S4) by the side of Daecheong Reservoir (S1). Based on the dataset, efficient water quality management in the point source tributary streams is required for better water quality of downstream. Monthly characteristics of DO showed the lowest value in the monsoon that tend to increase water temperature. DO was lowest in October at S1 because turbid water, input to the Daecheong Reservoir in the monsoon affect to the postmonsoon period. In contrast, water temperature increased toward summer monsoon, in spite of some differences showed between S1 and S4 environment. Overall, the characteristics of water quality in downstream region have close correlation with discharge amount of Daecheong Reservoir. Thus, those characteristics can explain that discharge control of upper dam mainly affect to the water quality variation in downstream reach.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.334-337
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• 2003

The results of this numerical model is usable to analysis for the phenomena of precipitation during the periods of a rainy season in the Northeastern Asia. Case l(start of rainy season) dominates over precipitation by the processing of convection from the equator region through the East China region, and then the most of water vapor is transported by the processing of advection from the India-monsoon region to this study region. Case 2(heavy rainy season) faints precipitation by the processing of convection in the Korean peninsula, but dominates precipitation by the processing of microphysics. the water vapor originates from the India-monsoon region.