• 한국환경농학회지
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• 제21권4호
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• pp.237-242
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• 2002

본 연구는 만경강 유역의 수질 보전을 위한 기초자료를 얻기 위하여 만경강 본류와 이에 유입되는 지천을 선정하여 2001년 5월부터 11월까지 매월 수질 모니터링을 실시하였다. 만경강 유역내 본류 및 지천의 유기물과 영양염류 함량을 조사한 결과, 본류의 T-N은 3.78$\sim$12.68 mg/L였으며, 지천중 축산폐수가 유입되는 익산천의 농도가 가장 높았다. 본류의 T-P와 BOD는 각각 0.043$\sim$0.864 mg/L와 2.59$\sim$13.29 mg/L였으며, 지천중 익산천이 가장 높았다. 본류의 COD는 12.9$\sim$l19.5 mg/L였으며, 지천중 도시생활하수가 유입되는 추천이 가장 높았다. 만경강 유역 수질저하의 주 원인은 축산폐수였으며, 도시생활하수가 그 다음으로 중요한 원인으로 평가되었다. 만경강 본류의 T-N과 T-P는 하천의 유량이 증가하는 홍수기인 7$\sim$8월보다 장마전 갈수기인 5$\sim$6월에 높았고, COD는 장마전 갈수기보다 홍수기에 높았으며 장마가 완전히 끝난 영농후 갈수기인 9$\sim$11월에도 수질저하가 지속되었다. 만경강에 유입되는 지천중 전반적으로 수질오염이 심각한 익산천과 추천은 영농후 갈수기에 수질이 가장 저하되었고 상대적으로 홍수기에는 양호하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제18권4호
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• pp.453-457
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• 2005

The genetic variations in three major river populations viz. the Halda, the Jamuna and the Padma of the Indian major carp, Catla catla were analyzed by Random Amplified Polymorphic DNA (RAPD) markers. Four decamer primers were used for amplifying DNA of 10 individuals from each population. The proportion of polymorphic loci and the gene diversity estimates were 59.4 and 0.20 for the Halda, 37.5 and 0.14 for the Jamuna and 46.9 and 0.16 for the Padma populations respectively indicating the existence of a relatively high level of genetic variation in the Halda river population. The inter-population similarity indices, gene flow and genetic distance values indicated that the Jamuna-Padma population pair of catla was genetically closer than the Halda-Jamuna and the Halda-Padma population pairs in compliance with the geographical distances among them. The coefficient of gene differentiation ($G_{ST}$=0.13) reflects some degree of genetic differentiation among three populations of catla studied. The data suggest that the RAPD technique could be used to discriminate different river populations of catla.

• 한국농공학회논문집
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• 제57권6호
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• pp.153-162
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• 2015

In this study, we analyzed the trends of water quality along the main stream in Nakdong river basin using the recent data and seasonal Mann-Kendall test. Monthly averaged values of DO, BOD, SS, COD, TN, and TP from 1989 to 2014 for 14 stations (including 2 TMDLs stations) were used in the study. The trend analysis results showed that BOD and TP at most stations has decreasing temporal trend except a few stations while COD and SS showed increasing trend at most stations. Temporal trends in TN at 8 stations were found to be statistically significant and 5 of them showed increasing temporal trend. Temporally averaged BOD, COD, TN and TP were generally increasing as going downstream and the worst water quality were found at Goryeong and Hyunpung station. Overall, water quality of Nakdong river especially in COD, SS, and TN getting worse in time at most stations and as going downstream.

• 한국농공학회논문집
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• 제51권2호
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• pp.35-41
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• 2009

The impacts of climate change on paddy irrigation requirements for Nakdong river basin in Korea have been analyzed. The HadCM3 model outputs for SRES A2 and B2 scenarios and International Water Management Institute $10'{\times}10'$ pixels observed data were used with kriging method. Maps showing the predicted spatial variations of changes in climate parameters and paddy irrigation requirements have been produced using the GIS. The results showed that the average growing season temperature was projected to increase by $2.2^{\circ}C$ (2050s A2), $0.0^{\circ}C$ (2050s B2), $3.7^{\circ}C$ (2080s A2) and $2.9^{\circ}C$ (2080s B2) from the baseline (1961-1990) value of $21{\circ}C$. The average growing season rainfall was projected to increase by 15.2% (2050s A2), 24.2% (2050s B2), 41.4% (2080s A2) and 16.7% (2080s B2) from the baseline value of 900 mm. Average volumetric irrigation demands were projected to decrease by 3.7% (2050s A2), 7.0% (2050s B2), 10.2% (2080s A2) and 1.4% (2080s B2) from the baseline value of $1.25{\times}10^9\;m^3$. These results can be used for the agricultural water resources development planning in the Nakdong river basin for the future.

• 한국농공학회지
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• 제11권4호
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• pp.1820-1826
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• 1969

• 농업과학연구
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• 제46권4호
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• pp.843-856
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• 2019

Real-time flood prediction has an important role in significantly reducing potential damage caused by floods for urban residential areas located downstream of river basins. This paper presents an effective approach for flood forecasting based on the construction of a deep neural network (DNN) model. In addition, this research depends closely on the open-source software library, TensorFlow, which was developed by Google for machine and deep learning applications and research. The proposed model was applied to forecast the flowrate one, two, and three days in advance at the Son Tay hydrological station on the Red River, Vietnam. The input data of the model was a series of discharge data observed at five gauge stations on the Red River system, without requiring rainfall data, water levels and topographic characteristics. The research results indicate that the DNN model achieved a high performance for flood forecasting even though only a modest amount of data is required. When forecasting one and two days in advance, the Nash-Sutcliffe Efficiency (NSE) reached 0.993 and 0.938, respectively. The findings of this study suggest that the DNN model can be used to construct a real-time flood warning system on the Red River and for other river basins in Vietnam.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2002년도 학술발표회 발표논문집
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• pp.437-440
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• 2002

By the explosive increase of population and industrialization the security of water resources is required, and water resource pollution problem is emerging as a serious social issue. For the ongoing Saemankeum project, lots of efforts are being put together to manage the water quality of the Saemankeum above a certain level, and it is sure that water quality management problem of main inflows from Mankyung River and Dongjin River is very important. Based upon the water quality data of Mankyung River this report examines its correlative characteristics by water quality sampling point factors and the water pollution resource factors, and subjects to provide elementary data for efficient water quality management of Mankyung River.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.515-520
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• 2005

The objective of the study is to assess the water quality improvement resulted from the rearrangement of the irrigation water supply systems at Mankyeong River and Ansung Chun basin. There is a mixed type of watershed composed of urban and rural areas in the region. From the water quality analysis, showed high T-N, T-P concentration in Ansung chun and Mankyeong river caused by paddies separated widely around Ansung chun and Mankyeong river and by runoff of the pollution from the Ansung and Jeonju city. but the upstream of the river showed clean water quality, so if we use the upstream water as river maintenance water for water quality improvement, it is expected to be positive effect for rural environmental aspect.

• 한국물환경학회지
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• 제25권2호
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• pp.212-220
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• 2009

In many studies, the Numeric Integration (NI) method has been widely used to calculate pollutant loads from the watershed because it is easy to apply. However, there have been many needs for more accurate pollutant loads estimation method with the restricted number of water quality samples. However, the ESTIMATOR model does not allow the users to define the regression model to explain the measured flow and water quality relationship, indicating the ESTIMATOR model is not flexible. The LOADEST model allows the user to choose the model type from 11 predefined general forms of regression equations. Annual loads of T-N and T-P with the LOADEST model were 0.70 times and 0.84 times of those by NI method, respectively. The coefficient of determination ($R^2$) of the LOADEST regression for the T-N and T-P were 0.92 and 0.72, respectively. This indicates that the load estimation regression model with the LOADEST for the study watershed explains the relationship between the observed flow and water quality data well reasonably well. Based on these findings, we suggest that the LOADEST model estimated regression equation could be used to estimate pollutant loads using the measured flow data for the study watershed.

• 한국지역지리학회지
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• 제8권4호
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• pp.451-467
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• 2002

영산강은 남한의 주요 강에 속하며, 유역은 식량생산의 핵심지 중의 하나이다. 영산강유역에는 범람원과 구릉지가 널리 발달되어 있으며, 현재의 영산호 일대에는 간석지도 넓게 분포했었다. 범람원은 '들'로 불리우며, 골짜기가 중은 '물목'의 상류쪽에 넓게 펼쳐진다. 범람원은 조선 발까지는 거의 전부 논으로 재발되었다. 이 농경지를 배경으로 도회지들이 성장했다. 구릉지는 '등', '까끔', '야산' 등으로 불리우며, 나주시와 영암군에 넓게 분포한다. 구릉지의 농경지개발은 1960년대부터 시작되었으며 오늘날에도 진행되고 있다. 많은 개간지의 영농은 외지인들에 의한 임차농의 형태로 영위된다. 간석지 즉 '뻘밭'은 영산강 하류의 남해만에 넓게 펼쳐져 있었으며, 곳곳에 '개옹'으로 불리우던 갯골이 발달했었다. 간석지는 1981년에 영산강하구둑이 준공된 이후 대대적인 간척사업에 의해 농경지로 개발되어 '영산평야'로 바뀌었다. 새로운 평야의 등장으로 모든 취락이 순수 농촌으로 탈바꿈하였다.