• Title/Summary/Keyword: 충주호

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Water quality forecasting on upstream of chungju lake by flow duration (충주호 상류지역의 유황별 장래수질예측)

  • 이원호;한양수;연인성;조용진
    • Journal of environmental and Sanitary engineering
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    • v.17 no.4
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    • pp.1-9
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    • 2002
  • In order to define about concern with discharge and water-quality, it is calculated drought flow, low flow, normal flow and wet flow in Chungju watershed from flow duration analysis. Water quality modeling study is performed for forecasting at upstream of Chungju lake. It is devided method of modeling into before and after the equipment of environmental treatment institution. And it is estimated the change of water quality. Before the equipment of environmental treatment, BOD concentration is increased from 23000 to 2006 years at all site and decrease on 2012 years. The rate of increasing BOD concentration is showed height between 2000 years and 2003 years most of all site. And after the equipment of environmental treatment, it is showed first grade of BOD water quality in most of sample site beside Jucheon river. The result of water quality modeling using drought flow showed that a lot of pollution occurred. And water quality using wet flow is good, so much discharge make more improve water quality than little discharge.

Analysis of Non-point Source Pollution using GIS Technique (GIS를 이용한 충주호주변의 비점원 오염 분석 연구)

  • 김윤종;유일현;김원영;류주영;이영훈;민경덕
    • Spatial Information Research
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    • v.3 no.1
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    • pp.1-18
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    • 1995
  • Despite the widespread use of GIS over the past ten years, it has been limited application for regional modeling of pollutant loadings such as sediment, nitrogen, and phosphorus(non-point source pollution), The goals of this study were to: select important processes and parameters of watersheds that contribute to non-point source pollution degradation, develop a ranking model to use the environmental geologic data and verify the model by comparing results with existing water quality data(Chung-ju Lake) for specific watersheds, The GIS database consisted of topography, geology, soils, precipitation, rainfall erosivity, land use, and watershed boundaries. The index(NPSP) for assessing non-point source pollution was comprised in the following three seperate components: soil loss index(SLI) assesses the potential soil erosion and sedim-ent delivery from field to stream; run-off potential ratio(R.P.R) predicts the potential production of surface runoff; chloropgyll-a index ranks the potential manure(animal or human) production within a watershed. The GIS model was a valuable tool to assess the impact of environmental pollation in watersheds.

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Ichthyofauna and Fish Community Structure in Lake Chungju, Korea (충주호의 어류상과 어류군집)

  • Kim, Chi-Hong;Lee, Wan-Ok;Hong, Kwan-Eui;Jeon, Hyoung-Joo
    • Korean Journal of Ichthyology
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    • v.17 no.4
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    • pp.264-270
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    • 2005
  • The ichthyofauna and fish community structure were investigated at three areas in Lake Chungju from April to October 2004. During the surveyed period,32 two species belonging to 12 families were collected. Dominant species in number was hemibarbus labeo (relative abundance : 23.2%) and subdominant was Erythroculter erythropterus (12.1%). Siniperca scherzeri (9.2%), and Pseudogobio esocinus (8.6%) were also numerous. There were nine Korean endemic species belonging to six families including Acheilognathus yamatsutae. The number of fish species collected was 28 in Danyang, 17 in Jecheon, and 15 in Chungju. Highest dominant index calculated was 0.670 in Chungju, and highest diversity index calculated was 2.442 in the Danyang area. We need closer observation of population fluctuation of some species, including H. labeo, the dominant species by biomass in Lake Chungju.

Analysis of Sequence Diversity of mcyA Gene Involved in Microcystin Synthesis in Korean Reservoirs (국내 호수에서 Microcystins의 생합성에 관여하는 mcyA 유전자의 염기서열 다양성 분석)

  • Oh, Kyoung-Hee;Han, Ah-Won;Cho, Young-Cheol
    • Korean Journal of Microbiology
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    • v.46 no.2
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    • pp.162-168
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    • 2010
  • The sequence diversity of mcyA gene involved in synthesis of microcystins was analyzed in Microcystis spp. isolated from the Korean reservoirs and in the environmental samples taken from the Daechung, Chungju, Yongdam, Soyang, and Euam Reservoirs at the cyanobacterial blooming season. It was estimated that the sequences of mcyA gene in the isolated Microcystis spp. were much conserved when compared with those in GenBank database. A few kinds of clones were dominant in the investigated environmental samples, occupying 87 to 100% of total clones. No mcyA sequences originated from Anabaena spp. or Planktothrix spp. was found. These results indicated that microcystins are produced mainly by Microcystis spp. and the sequences of mcyA genes are much conserved in the investigated Korean reservoirs.

A Tank Model Application to Soyanggang Dam and Chungju Dam with Snow Accumulation and Snow Melt (적설 및 융설 모의를 포함한 탱크모형의 소양강댐 및 충주댐에 대한 적용)

  • Lee, Sang-Ho;An, Tae-Jin;Yun, Byung-Man;Shim, Myung-Pil
    • Journal of Korea Water Resources Association
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    • v.36 no.5
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    • pp.851-861
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    • 2003
  • Snow accumulation and snow melt was simulated and included in the computation of the watershed runoff for Soyanggang Dam and Chungju Dam. A modified Tank Model was used for the simulation, which has three serial tanks and a pulse response function. The model parameters were estimated through the global optimization method of Shuffled Complex Evolution-University of Arizona (SCE-UA). A watershed was divided into four zones of elevation. The temperature decrease of the zones was a rate of -0.6$^{\circ}C$/100m. Almost all precipitation from December to February become accumulated as snow, and then the snow melts and runs off from March to April. The average runoff with snow melt was greater than the average runoff without snow melt during the period from March to April. The improved amount from snow melt simulation was about one fifth of the observed one for Soyanggang Dam. The increased amount for Chungju Dam was about one fourth of the observed average runoff during the same period. Although the watershed runoff was simulated including snow melt, it was less than the observed one for both of the dams.

Investigating the Effects of Meteorological Disasters on Hydroelectric Power Generation Using a Structural Equation Modeling (구조방정식모형을 이용한 기상재해가 수력발전을 통한 전력 생산에 미치는 영향 분석)

  • Kim, Jiyoung;Byun, Sung ho;Yoo, Jiyoung;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.1
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    • pp.33-41
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    • 2023
  • Recently, global warming has accelerated climate change, increased extreme weather phenomena, and increased the frequency and intensity of weather disasters, leading to increasing uncertainty about the power production of new and renewable energy that is sensitive to weather. In fact, it has been reported that a number of damage to hydroelectric power generation have occurred due to weather disasters. Therefore, using the hydroelectric power generation performance data of Chungju Dam, meteorological data of Chungju Meteorological Observatory, and operation data of Chungju Dam, this study investigated the effect of meteorological disasters on hydroelectric power generation through structural equation modeling considering the number and intensity of meteorological disasters per month. The results indicated that the increased drought occurrence affected the decreased hydroelectric power generation by about 38.3 %, however the increased hydroelectric power generation could not explained by the increased flood occurrence. In conclusion, an increased drought occurrence in future may significantly influence hydroelectric power generation.

충주댐 수몰지구의 3차원 영상복원 기법에 관한 실험적 연구

  • 연상호;홍일화;김주일
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.411-416
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    • 2003
  • 다목적 대형 댐의 건설로 수몰된 과거의 삶의 공간을 20년이 지나서 다시 복원한다는 것은 그곳에 살던 실향민 등에게는 참으로 반가운 소식이다. 본 연구에서는 1980년대 초에 완공된 충주댐으로 인하여 물 속에 잠긴 청풍 지구를 수몰이전의 입체 지형 공간적으로 원형복원하기 위한 원격탐사 기법을 적용한 것이다. 비교적 해상도가 좋은 인공위성 사진자료와 원격탐지된 디지털 영상자료를 수집하고, 수몰직전에 제작된 지형도를 이용하여 위성영상자료의 통합 적용하여 수몰이전의 지형공간정보를 현재시간으로 영상 복원하는 실험을 한 것이다. 이를 위하여 지형도에서 추출한 등고선과 현재의 등고선과의 접목을 통하여 청풍 주변지역을 중심으로 당시의 수치표고모형을 생성하였다. 또한 이를 입체적으로 보여주기 위한 투시조감도를 각 방향에서 생성함으로서 수몰이전의 아름다운 모습을 3차원적으로 영상복원 하였다. 좀더 가깝게 수몰마을을 보기 위한 최근접 시뮬레이션 동영상을 제작하여 과거 기억 속의 고향을 찾아볼 수 있도록 한 것이다.

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Analysis of Slope Stability Using GIS in the Northern Area of Chungju Lake (지구정보시스템을 이용한 충주호 북부 지역의 사면 안정 평가)

  • 문상기
    • Economic and Environmental Geology
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    • v.33 no.1
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    • pp.51-59
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    • 2000
  • As a part of natural hazard assessment, regional slope stability analysis was conducted using Geoscientific Information System (GIS) in the northern area of Chungju Lake. Selected factors which affect the slope stability in the study area were lithology, soil, density of lineament, groundwater level, dip of slope, aspect of slope, and geological engineering properties. Geological structural domains were determined by collected data of joint orientation from about 200 sites in order to produce a slope instability map. Potential type of failure and its direction could be expected through the domains. And a slope instability map was produced, comparing the representative orientations of the domains with the orientations of the slopes which were made through TIN module in ARC/INFO. Under the consideration of environmental geological characteristics of the study area, rating and weighting of each factor of slope stability analysis were decided and spatial analysis of regional slope stability was couducted through overlaying technique of GIS. The result of areal distribution of slope stability showed that the most unstable area was the area between Mt. Pudae and Mt. Jubong, and the northern area of the railway station, Samtan.

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Stochastic Characteristics of Water Quality Variation of the Chungju Lake (충주호 수질변동의 추계학적 특성)

  • 정효준;황대호;백도현;이홍근
    • Journal of Environmental Health Sciences
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    • v.27 no.3
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    • pp.35-42
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    • 2001
  • The characteristics of water quality variation were predicted by stochastic model in Chungju dam, north Chungcheong province of south Korea, Monthly time series data of water quality from 1989 to 2001;temperature, BOD, COD and SS, were obtained from environmental yearbook and internet homepage of ministry of environment. Development of model was carried out with Box-Jenkins method, which includes model identification, estimation and diagnostic checking. ACF and PACF were used to model identification. AIC and BIC were used to model estimation. Seosonal multiplicative ARIMA(1, 0, 1)(1, 1, 0)$_{12}$ model was appropriate to explain stochastic characteristics of temperature. BOD model was ARMa(2, 2, 1), COD was seasonal multiplicative ARIMA(2. 0. 1)(1. 0, 1)$_{12}$, and SS was ARIMA(1, 0, 2) respectively. The simulated water quality data showed a good fitness to the observed data, as a result of model verification.ion.

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