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강문성,조재필,전종안,박승우,Kang, Moon-Seong,Cho, Jae-Pil,Chun, Jong-An,Park, Seung-Woo 한국농공학회 2009 한국농공학회논문집 Vol.51 No.5
The objectives of this paper were to estimate cell based pollutant loadings for total maximum daily load (TMDL) programs and to evaluate the applicability of the agricultural nonpoint source (AGNPS) model for an intensive agricultural watershed in Korea. The model was calibrated and validated at a watershed of 384.8 ha of drainage area using the observed data from 1996 through 2000 in terms of runoff, suspended solid, total nitrogen, and total phosphorus on a hourly basis. Analysis of spatial variations of pollutant loadings for rainfall frequencies of various intensities and durations were conducted. In addition, the validated model was applied to estimated the TMDL removal efficiency for best management practices (BMPs) scenarios which were selected by taking into account the pollutant characteristics of the study watershed. The model can help to understand the problems and to find solutions through landuse changes and BMPs. Thus, the method used for this study was able to identify TMDL quantitatively as well as qualitatively for various sources pollution that are spatially dispersed. Also it provides an assessment of the impact of BMPs on the water bodies studied, allowing the TMDL programs to be complemented more effectively.
강문성,박승우,김상민,성충현,Kang, Moon-Seong,Park, Seung-Woo,Kim, Sang-Min,Seong, Chung-Hyun 한국농공학회 2004 한국농공학회논문집 Vol.46 No.1
The objective of the research is to develop agricultural resue technologies of reclaiming the effluents from a municipal wastewater treatment plant and reusing for irrigated rice paddies. The Suwon wastewater treatment plant was selected for wastewater reuse tests. The control was the plots with groundwater irrigation (TR#1), the treatment (TR#2) using polluted stream water as it was, and three others using wastewater after treatment. Three levels of wastewater treatments were employed: the effluent from the wastewater treatment plant (TR#3), sand filtering after treatment plant(TR#4), and ultra-violet treatment after sand filtering (TR#5). The randomized block method was applied to wastewater application to paddy rice with five treatments and six replica. The effects of various wastewater treatment levels on water quality, paddy soil, crop growth, yields, and the health hazards were investigated. The primary results indicate that cultivating rice with reclaimed wastewater irrigation did not cause a problem to adverse effects on crop growth and yields. Overall, wastewater could be used as a practical alternative measure for reclaimed wastewater irrigation. However, long-term monitoring is recommended on the effects on soil chemical characteristics and its related health concerns.
소유역에서의 수계환경관리 및 평가시스템의 개발(I) - 시스템의 개발 및 구성 -
강문성,박승우,임상준,Kang, Moon-Seong,Park, Seung-Woo,Im, Sang-Jun 한국농촌계획학회 2001 농촌계획 Vol.7 No.1
In an effort to effectively manage and evaluate a water environment at a small watershed, a decision support system for a water environment management and evaluation has been developed. This paper described the overall features and functions of the water environment management and evaluation systems (WEMES) for environmental management, conservation, and evaluation at a small watershed. WEMES consisted of fore subsystems: data, simulation model, evaluation model, and user interface. Each of the systems were briefly described. And special features like simulation and evaluation models were also introduced.
강문성 ( Kang Moon Seong ),박승우 ( Park Seung Woo ),임재천 ( Lim Jae Chon ) 한국농공학회 2001 한국농공학회 학술대회초록집 Vol.2001 No.-
The objectives of the thesis are to propose a pattern classification method for remote sensing data using artificial neural network. First, we apply the error back propagation algorithm to classify the remote sensing data. In this case, the classification performance depends on a training data set. Using the training data set and the error back propagation algorithm, a layered neural network is trained such that the training pattern are classified with a specified accuracy. After training the neural network, some pixels are deleted from the original training data set if they are incorrectly classified and a new training data set is built up. Once training is complete, a testing data set is classified by using the trained neural network. The classification results of Landsat TM data show that this approach produces excellent results which are more realistic and noiseless compared with a conventional Bayesian method.
강문성 ( Kang Moon Seong ),박승우 ( Park Seung Woo ),구지희 ( Koo Jee Hee ),허용구 ( Her Young Ku ) 한국농공학회 2001 한국농공학회 학술대회초록집 Vol.2001 No.-
The objectives of the thesis are to estimate flood using critical storm duration. The hydrological models were tested with field data from two small watersheds. The hydrological parameters were defined using the GIS system. And the results from different peak runoff equations and hydrologic models were found to simulate runoff hydrographs that are comparative to the observed.
강문성 ( Kang Moon Seong ),박승우 ( Park Seung Woo ) 한국농공학회 2000 한국농공학회 학술대회초록집 Vol.2000 No.-
A artificial neural network model was developed to analyze and forecast the flow fluctuation at small streams in the Balan watershed. Backpropagation neural networks were found to perform very well in forecasting daily streamflows. In order to deal with slow convergence and an appropriate structure, two algorithms were proposed for speeding up the convergence of the backpropagation method, and the Bayesian Information Criterion(BIC) was proposed for obtaining the optimal number of hidden nodes. From simulations using daily flows at the HS#3 watershed of the Balan Watershed Project, which is 412,5 ㏊ in size and relatively steep in landscape, it was found that those algorithms perform satisfactorily.
강문성 ( Kang Moon Seong ),박승우 ( Park Seung Woo ),진영민 ( Chin Young Min ) 한국농공학회 1998 韓國農工學會誌 : 전원과 자원 Vol.40 No.1
A stochastic weather generator which simulate daily precipitation, maximum and minimum daily temperature, relative humidity was developed. The model parameters were estimated using stochastic characteristics analysis of historical data of 71 weather stations. Spatial variations of the parameters for the country were also analyzed. Model parameters of ungauged Sites were determined from parameters of adjacent weather stations using inverse distance method. The model was verified on Suwon and Ulsan weather stations and showed good agreement between simulated and observed data.