• Title/Summary/Keyword: River-reservoir

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Distribution, Vegetation Structure and Biomass of Submerged Macrophytes in a Small Agricultural Reservoir, Keumpoong Reservoir, Korea (소형 농업 저수지인 금풍저수지에서 침수식물의 분포, 식생구조 및 생물량)

  • Kim, Ki-Hwan;Jin, Seung-Nam;Cho, Hyung-Jin;Cho, Kang-Hyun
    • Korean Journal of Ecology and Environment
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    • v.45 no.1
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    • pp.52-61
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    • 2012
  • Distribution, abundance and biomass of submerged macrophytes were assessed using a double-headed rake and an echo-sounder in the Keumpoong Reservoir to investigate the temporal and spatial variations of submerged macrophytes in a small agricultural reservoir located upstream. Slope steepness and water depth in the littoral zone were important controlling factors on flora and vegetation structure of submerged macrophytes. Biodiversity of submerged macrophytes was increased at a gentle slope of the littoral zone. The results of DCA (detrended correspondence analysis) showed that the structure of submerged vegetation depended on the depth of water. Submerged macrophytes were distributed at the maximum water depth of 2.8 m in the Keumpoong Reservoir. The area occupied by the submerged macrophytes was estimated at only 6% of the total reservoir area because of the steep slope of the littoral zone and the large annual water-level fluctuation of 3.5 m. The increase of water level and inflow of turbid water in the rainy season might reduce the biomass of submerged macrophytes in the reservoir. It may be concluded that submerged vegetation in the Keumpoong Reservoir, a small agricultural reservoir located at the upstream, appears to be particularly susceptible to water level fluctuations and slope steepness of the littoral zone.

Simplification of Monte Carlo Techniques for the Estimation of Expected Benefits in Stochastic Ananlysis of Multiple Reservoir Systems (저수지군으로부터 기대편익 산정을 위한 Monte Carlo 기법의 간략화)

  • 이광만;고석구
    • Water for future
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    • v.26 no.2
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    • pp.89-97
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    • 1993
  • For the system benefit optimization by considering risk or reliability from a multiple reservoir system using the Monte Carlo technique, many stochastically generated inflow series have to be used for the system analysis. In this study, the stochastically generated inflow series for the multiple reservoir system operation are preprocessed according to the considered system objectives and operating time periods. Through this procedure, several representative inflow series which have discrete probability levels and operation horizons are selected among the thousands of generated inflows. Then a deterministic optimization technique is applied to the power energy estimation from the Han River Reservoirs System which considers five reservoirs in the study. It took much lower computational requirements then using the original Monte Carlo Technique, even though estimated result was almost similar.

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A Development of Inflow Forecasting Models for Multi-Purpose Reservior (다목적 저수지 유입량의 예측모형)

  • Sim, Sun-Bo;Kim, Man-Sik;Han, Jae-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 1992.07a
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    • pp.411-418
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    • 1992
  • The purpose of this study is to develop dynamic-stochastic models that can forecast the inflow into reservoir during low/drought periods and flood periods. For the formulation of the models, the discrete transfer function is utilized to construct the deterministic characteristics, and the ARIMA model is utilized to construct the stochastic characteristics of residuals. The stochastic variations and structures of time series on hydrological data are examined by employing the auto/cross covariance function and auto/cross correlation function. Also, general modeling processes and forecasting method are used the model building methods of Box and Jenkins. For the verifications and applications of the developed models, the Chungju multi-purpose reservoir which is located in the South Han river systems is selected. Input data required are the current and past reservoir inflow and Yungchun water levels. In order to transform the water level at Yungchon into streamflows, the water level-streamflows rating curves at low/drought periods and flood periods are estimated. The models are calibrated with the flood periods of 1988 and 1989 and hourly data for 1990 flood are analyzed. Also, for the low/drought periods, daily data of 1988 and 1989 are calibrated, and daily data for 1989 are analyzed.

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Water Quantity and Quality Management Through A Multiple Reservoir System (수량(水量) 및 수질(水質)을 고려(考慮)한 저수지군(貯水池群)의 종합관리(綜合管理))

  • Ko, Seok Ku;Kim, Soo Sam;Lee, Kwang Man;Lee, Ki Jong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.12 no.1
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    • pp.123-130
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    • 1992
  • The quantity point has been considered prior to the quality point in the water resources development and management. However, the quality problems have become as important as quantity problems due to the industrialization and civilization. This paper presents a methodology of the integrated management of multiple reservoir systems by considering both water quantity and quality problems. It also presents a long-term forecasting technique of reservoir water quality by using the developed phosphorous model. The methodology was applied to the Han river reservoirs operation, in which five major reservoirs were considered. The result shows that the spatially and temporally distributed water quantity and quality resources can be utilized by meeting all the required constraints.

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A Study on Measurement System for Water Volume of the Reservoir using Drone and Sensors (드론과 센서를 이용한 저수지 수량 측정 시스템에 관한 연구)

  • Kim, Hyeong-gyun;Hwang, Jun;Bang, Jong-ho
    • Journal of Internet Computing and Services
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    • v.20 no.6
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    • pp.47-54
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    • 2019
  • Social dredging of various river facilities, such as dams and agricultural reservoirs currently being constructed, should be done to ensure stable reservoirs. However, it is difficult to find a system that tells the exact amount of water in real-time in a reservoir or dam. These measurements require an automated system to collect and analyze highly accurate data in real time. In this study, we propose a method to measure the amount of water and soil of reservoir in real time through multi-division volume calculation using a drone, and this method can detect sediment conditions in real time and determine the exact timing and scale of dredging.

A Study on the Effect of Flow Properties in Shale Gas Reservoirs (셰일가스 저류층에서의 동적물성 영향 분석)

  • Kim, Jung-Gyun;Kang, Il-Oh;Shin, Chang-Hoon;Lee, Seong-Min;Lee, Jeong-Hwan
    • Journal of the Korean Institute of Gas
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    • v.21 no.2
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    • pp.50-57
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    • 2017
  • Shale gas reservoir are composed of very fine grained particles, and their pores are very small, at the scale of nanometers. In this study, a parametric study was implemented to investigate the effect of knudsen diffusion, relative permeability and permeability reduction in shale gas reservoir. Shale gas reservoir model in Horn-River was developed to confirm the productivity for different design parameters such as diffusion, relative permeability, connate water saturation, and permeability reduction.

Copper and Lead Concentrations in Water, Sediments, and Tissues of Asian Clams (Corbicula sp.) in Bung Boraphet Reservoir in Northern Thailand (2008)

  • Netpae, Tinnapan;Phalaraksh, Chitchol
    • Environmental Engineering Research
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    • v.15 no.1
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    • pp.35-40
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    • 2010
  • Bung Boraphet is the largest freshwater reservoir in Thailand. This study examined the accumulation of copper (Cu) and lead (Pb) in water, sediment and tissues of Asian clams (Corbicula sp.) within Bung Boraphet to assess the possible polluting effect of soil erosion and the dissolution of water soluble salts from the Nan River. Samples were collected from 12 study sites within Bung Boraphet between February and December 2008. The physicochemical parameters of the water including temperature, pH, turbidity, ammonia nitrogen, nitrate nitrogen, orthophosphates, biochemical oxygen demand, dissolved oxygen, Cu, and Pb were measured. The water in Bung Boraphet was found to be medium clean according to the surface water quality standard of Thailand. The levels of Cu and Pb in the water were low but heavy metals were detected at higher levels in the sediment and tissues of Corbicula sp. In the near future, management practices and regulator approaches for Cu and Pb contamination will be needed to protect the water in Bung Boraphet.

Flood Risk Management for Weirs: Integrated Application of Artificial Intelligence and RESCON Modelling for Maintaining Reservoir Safety

  • Idrees, Muhammad Bilal;Kim, Dongwook;Lee, Jin-Young;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.167-167
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    • 2020
  • Annual sediment deposition in reservoirs behind weirs poses flood risk, while its accurate prediction remains a challenge. Sediment management by hydraulic flushing is an effective method to maintain reservoir storage. In this study, an integrated approach to predict sediment inflow and sediment flushing simulation in reservoirs is presented. The annual sediment inflow prediction was carried out with Artificial Neural Networks (ANN) modelling. RESCON model was applied for quantification of sediment flushing feasibility criteria. The integrated approach was applied on Sangju Weir and also on estuary of Nakdong River (NREB). The mean annual sediment inflow predicted at Sangju Weir and NREB was 400,000 ㎥ and 170,000 ㎥, respectively. The sediment characteristics gathered were used to setup RESCON model and sediment balance ratio (SBR) and long term capacity ratio (LTCR) were used as flushing efficiency indicators. For Sangju Weir, the flushing discharge, Qf = 140 ㎥/s with a drawdown of 5 m, and flushing duration, Tf = 10 days was necessary for efficient flushing. At NREB site, the parameters for efficient flushing were Qf = 80 ㎥/s, Tf = 5 days, N = 1, Elf = 2.24 m. The hydraulic flushing was concluded feasible for sediment management at both Sangju Weir and NREB.

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Improvement of the Ensemble Streamflow Prediction System Using Optimal Linear Correction (최적선형보정을 이용한 앙상블 유량예측 시스템의 개선)

  • Jeong, Dae-Il;Lee, Jae-Kyoung;Kim, Young-Oh
    • Journal of Korea Water Resources Association
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    • v.38 no.6 s.155
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    • pp.471-483
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    • 2005
  • A monthly Ensemble Streamflow Prediction (ESP) system was developed by applying a daily rainfall-runoff model known as the Streamflow Synthesis and Reservoir Regulation (SSARR) model to the Han, Nakdong, and Seomjin River basins in Korea. This study first assesses the accuracy of the averaged monthly runoffs simulated by SSARR for the 3 basins and proposes some improvements. The study found that the SSARR modeling of the Han and Nakdong River basins tended to significantly underestimate the actual runoff levels and the modeling of the Seomjin River basinshowed a large error variance. However, by implementing optimal linear correction (OLC), the accuracy of the SSARR model was considerably improved in predicting averaged monthly runoffs of the Han and Nakdong River basins. This improvement was not seen in the modeling of the Seomjin River basin. In addition, the ESP system was applied to forecast probabilistic runoff forecasts one month in advance for the 3 river basins from 1998 to 2003. Considerably improvement was also achieved with OLC in probabilistic forecasting accuracy for the Han and Nakdong River basins, but not in that of the Seomjin River basin.

Estimation of Pollutants Loads using Unit Load Method in Hong-Bo Watershed (원단위법을 이용한 홍보유역의 오염부하량 산정)

  • Kim, Sun-Joo;Lee, Suk-Ho;Heo, Bae-Young
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2001.10a
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    • pp.492-496
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    • 2001
  • The purpose of this study is to estimation of pollutants loads using unit load method in Hong-bo watershed. In general, because river water quality management have been conducted with point source pollutant in our country, pollutants caused by precipitation have not been managed well so far. Especially the pollutants tends to concentrate in the reservoir of reclaimed land. Therefore, the reservoir of reclaimed land is need to continuous monitoring and update of an accurate data. also, It is need to improvement of environmental pollution. There are divide into nine sub-catchments and made an estimate of pollutants loads using unit load method in Hong-bo basin. The sample of data was during the 10 years.

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