• Proceedings of the Korea Concrete Institute Conference
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• 2005.11a
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• pp.739-742
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• 2005

In this study, we predicted the service life against the freezing and thawing. as a result, we found that in the case of using the low quality crushed sand with high water-cement ratio, there is the possibility of deterioration. but in any other case, we concluded that there is no chance to deteriorate if we have the required air contents by using AE agent. we are going to improve the method to evaluate more exactly the durability of the concrete with crushed sand by acquiring data from the specimen which are exposed to field for long time.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 2004.10a
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• pp.407-411
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• 2004

Ohmic heating occurs when an electric current is passes through food, resulting in a temperature rise in the product due to the conversion of the electric energy into heat. The time spent in the thawing is critical for product sterility and quality. The objective of this study is to conduct numerical modelling between the effect of ohmic thawing intensity on PTT(phase transition time) at constant concentration and the effect of matrix concentrations on PTT at constant voltage condition. the stronger ohmic thawing intensity resulted in decreasing the PTT. High ohmic intensity causes short PTT. And the higher gelatin concentration, the faster increment of PTT. A numerical modeling was executed to predict the PTT influenced by the power intensity using exponential regression and the PTT influenced by gelatin concentration using logarithmic regression. Therefore, from this numerical model of gelatin matrix, it is possible to estimate exact values extensively.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 2000.09a
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• pp.71-76
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• 2000

상류의 만경강과 동진강을 포함하여 공사가 진행 중에 있는 새만금 사업의 결과로 조성될 새만금 담수호 그리고 호소 외해역에 대한 총체적인 수질관리를 위하여 일차적으로 하천수계의 수질 연속관측과 부영양화 평가를 위하여 해역에서 수질분석이 실시되었다. 수치모형의 적용성을 평가하기 위하여 기존에 만경강에 대해 적용한 정적 수질모형인 QUAL2E 의 검토도 있었다. 종합적인 수질관리에는 하천에서뿐만 아니라 하구에서 공히 이용될 동적인 모형의 필요성이 대두되었다. 연속관측 자료를 통하여 분석된 자료는 감조구간에 적용된 1차원 동적수질모형 거동과 유사성을 보여, 향후 새만금 수계의 수질관리에는 동적모형의 확장이 필연적임을 재확인할 수 있었다. 인근해역에서 분석된 수질 분포는 특히 만경강 하구에서 부영양화가 매우 강하게 나타나 현재 일대 해역에서뿐만 아니라 만경강 상류의 유입 영향으로 향후 조성되는 새만금 담수호의 부영양화의 가능성도 배제할 수 없는 것으로 나타나 수질저하를 예방하기 위한 지속적인 수질관리 연구가 필요한 것으로 판단되었다.

• Journal of the Korean Geophysical Society
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• v.7 no.2
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• pp.121-134
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• 2004

This study has tried to develop the modified DRASTIC Model by supplying the parameters, such as structural lineament density and land-use, into conventional DRASTIC model, and to predict the potential of groundwater contamination using GIS in Hwanam 2 District, Gyeonggi Province, Korea. Since the aquifers in Korea is generally through the joints of rock-mass in hydrogeological environment, lineament density affects to the behavior of groundwater and contaminated plumes directly, and land-use reflect the effect of point or non-point source of contamination indirectly. For the statistical analysis, lattice-layers of each parameter were generated, and then level of confidence was assessed by analyzing each correlation coefficient. Groundwater contamination potential map was achieved as a final result by comparing modified DRASTIC potential and the amount of pollutant load logically. The result suggest the predictability of contamination potential in a specified area in the respects of hydrogeological aspect and water quality.

• Journal of Korean Society of Rural Planning
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• v.7 no.1 s.13
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• pp.27-36
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• 2001

Estimation of current and future loading from watershed is necessary for the sound management of water quality of an estuary lake. Pollution sources of point and non-point source pollution were surveyed and Identified for the Koheung watershed. Unit factor method was used to estimate potential pollutant load from the watershed of current conditions. Flow rate and water qualify of base flow and storm-runoff were monitored in the main streams of the watershed. Estimation of runoff pollutant loading from the watershed into the lake in current conditions was conducted by GWLF model after calibration using observed data. Prospective pollutant loading from the reclaimed paddy fields under cultivation conditions was estimated using the modified CREAMS model. As a result, changes of pollutant loading into estuary lake according to non-cultivation and cultivation conditions of reclaimed tidal land were estimated.

• The Korean Journal of Malacology
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• v.14 no.2
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• pp.167-172
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• 1998

As a preliminary study, effects of environmetal pollutants on propagation of freshwater microalgae, Cryptomonas ovata and feeding rate of Corbicula leana were investigated at 20${\pm}$1$^{\circ}C$, over 20 days after treatment of pollutants, glucose, complex fertilizer and NH4Cl. Number of C. ovata in control group was increased from 38${\times}$104 cell/ml to 1.910${\times}$104 cell/ml after 20 days cultivation in Sorokin-Krauss medium. Increments of cell number in experimental groups treated with glucose, complex fertilizer and NH4Cl were higher than that of control group. The higher propagation rate of C.ovata was observed when 30 mg/l of glucose treated, 120 mg/l of complex fertilizer treated, and 4 mg/l of NH4Cl treated, compared with other concentrations in each pollutant treated group. The feeding rates of large size group of C. leana which fed with a living organism, C. ovata in each experimental group were higher than small size group, and slightly reduced with the increase of pollutant concentrations. The feeding rates were not significantly different between any concentrations of the pollutant, and among experimental groups treated with glucose, complex fertilizer and NH4Cl.

• Journal of the Korean Society of Groundwater Environment
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• v.7 no.3
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• pp.133-140
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• 2000

The area of Chojung is famous for its mineral water quality. Because of this reason, massive groundwater development was induced in the area. As a result of excessive pumping. the depletion of the groundwater resources is expected seriously. This study was conducted to analyse groundwater flow in Chojung using a numerical model. Simulation results show the groundwater level change slowly in the mountain area but steep groundwater drawdown occurred in the pumping area in the downstream. This steep groundwater drawdown is due to excessive pumping in the hilly region. Because of this excessive, desiccation of water resources were predicted and proper countermeasure is in great demand.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.243-243
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• 2020

본 연구는 장래 유입수질 변화로 해수담수화(Desalination) 역삼투압(Seawater Reverse Osmosis) 공정의 전력비 예측 모델을 개발하고 별도의 해수담수화 추가공정이 필요한지 검토하였다. 플랜트 시설은 한번 설치되면 오랜 기간 운영이 되고, 주요 공정의 시설물 변경이 어려우며, 특히 해수담수화 시설의 경우에는 생활용수 및 공업용수를 수요자에 상시 공급함으로서 중간에 추가 시설물을 증설하거나 변경하기가 쉽지 않다. 따라서 해수담수화 시설의 계획 초기부터 현재의 유입수질 및 장래의 수질 변화를 예측하여 해수담수화 공정을 계획하는 것이 필요하다. 금회 검토는 해수온도 및 염분도 변화를 고려하여 서해에 위치한 대산산업단지 해수담수화 시설의 해수담수화 공정 전력비를 예측하였고, 입력 자료(온도 및 염분도)는 국가해양환경정보통합시스템(MEIS, Marine Environment Information System) 22년 과거자료(1997~2018년)를 이용하였다. 개발된 모형에 적용하여, 해수담수화에 필요한 전력비의 변화를 예측할 수 있으며, 이를 바탕으로 해수담수화 시설물 공정계획을 검토할 수 있었다. 금회 연구에서는 장래 수질변화 예측모형의 결과를 기반으로 해수담수화 시설물 공정을 제시하였다는데 의의가 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.324-324
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• 2022

정확한 오염물질 예측은 기상학, 자연재해, 기후변화 연구 등 현장에서 필수적인 과제 중 하나이다. 주변 관측소에서 얻은 데이터를 사용하는 경우 모델 학습을 위한 불필요한 데이터로 인해 예측 결과에 왜곡 문제가 있을 수 있습니다. 따라서, 우리는 종합적인 대기질 지수 행동에 영향을 미치는 요인을 제공하는 최적의 데이터 소스를 찾기 위해 네트워크 방식을 사용했습니다. 본 연구에서는 2015년부터 2020년까지 우리나라의 6개 오염물질과 종합적인 대기질 지수 예측에 대한 네트워크 기법을 적용한 LSTM 및 DNN 모델을 적용하였다. 본 연구는 미세먼지(PM10), 초미세먼지(PM2.5), 오존(O3), 이산화황(SO2), 이산화질소(NO2), 일산화탄소(CO) 등 6가지 오염물질을 기반으로 종합적인 대기질 지수를 예측하는 2단계로 구성되어 있다. LSTM을 이용하여, 개별적으로 예측된 6가지 오염물질을 이용하여 DNN 모형을 이용하여 종합적인 대기질 지수를 예측한다. 6가지 오염물질에 대한 각 모델의 예측능력과 종합적인 대기질 지수 예측은 관측된 대기질 데이터와 비교하여 평가하였다. 본 연구는 심층신경망 모델과 네트워크 방식을 결합한 것이 높은 예측력을 제공함을 보여주었으며, 종합적인 대기질 지수 예측을 위한 최적의 모델로 선정되었다. 재난관리의 필요성이 증가함에 따라 네트워크 방식의 딥러닝 모델은 자연재해 피해를 줄이고 재난관리를 개선할 수 있는 충분한 잠재력을 가질 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.581-584
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• 2019

Food consumption is growing worldwide every year owing to a growing population. Hence, the increasing population needs the production of sufficient and good quality food products. Strawberry is one of the world's most famous fruit. To obtain the highest strawberry output, we worked with three strawberry varieties supplied with three kinds of nutrient water in a greenhouse and with the outcome of the strawberry production, the highest yielding strawberry variety is detected. This Study uses the nutrient water consumed every day by the highest yielding strawberry variety. The atmospheric temperature, humidity and CO2 levels within the greenhouse are identified and used for the prediction, since the water consumption by any plant depends primarily on weather conditions. Machine learning techniques show successful outcomes in a multitude of issues including time series and regression issues. In this study, daily nutrient water consumption of strawberry plants is predicted using machine learning algorithms is proposed. Four Machine learning algorithms are used such as Linear Regression (LR), K nearest neighbour (KNN), Support Vector Machine with Radial Kernel (SVM) and Gradient Boosting Machine (GBM). Gradient Boosting System produces the best results.