• Title/Summary/Keyword: river water

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Applicability evaluation of velocity profile method by V-ADCP measuring real-time river water use (실시간 하천수사용량 계측을 위한 V-ADCP 유속분포법의 적용성 평가)

  • Song, Jae Hyun;Park, Moon Hyung;Cha, Jun-Ho;Kim, Chi Young
    • Journal of Korea Water Resources Association
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    • v.52 no.1
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    • pp.83-96
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    • 2019
  • In order to properly manage the river water use, it is necessary to collect reliable data of river water use. However, It is not easy to get credible river water use data in Korea because there are some difficultites in reporting and measuring river water use data. Thus, Han River Flood Control Office has installed and operated measuring facility using V-ADCP on the EOUBO intake open channel in the Gosan-Bongdong station section of the Mankyung river, where the use of agricultural water is large. In this study, the applicability of the V-ADCP velocity profile method was evaluated for real-time river water use. For this reason, the parameter sensitivity of Chiu's 2D velocity distribution equation was analyzed and the optimal parameters based on actual discharge data were calculated. In addition, the characteristics of the velocity profile method were analyzed by comparative evaluation of the rating curve method and the index velocity method.

Improvement of River Water Quality By Combined Treatment of Sand Filtration and Ozonation(1) - Focusing on Reduction of BOD, COD, SS and Color (모래여과 및 오존처리에 의한 하천수 수질개선 효과 연구(1) - BOD, COD, SS 및 색도 제거 경향 고찰)

  • Choi, Changhee;NamKung, Kyucheol;Youn, Jongwoo;Lee, Chaeyoung
    • Journal of Korean Society on Water Environment
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    • v.27 no.6
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    • pp.813-821
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    • 2011
  • While various aspects affect river water quality, reduction of water flow rate during dry seasons is one of the most significant factors causing severe water pollution in river water environment. The aim of this study is to investigate the feasibility of applying a physicochemical method (sand filtration + ozonation) for improving river water quality within a short period. The parameters analyzed and assessed were $COD_{cr}$, BOD, SS and color. The source river water had a severe pollution level showing COD 8.8~17.2 mg/L (ave. 11.9 mg/L), BOD 4.8~13.3 mg/L (ave. 8.3 mg/L), SS 9.0~22.1 mg/L (ave. 12.8 mg/L) and color 34.4~77.1 degree (ave. 56.5 degree) during the experimental periods. The variation trends showed a relatively low correlation between BOD and COD and between color and COD, while SS showed very low correlation with other parameters. The combined process of sand filtration and ozonation showed averaged removal efficiency of COD 37.2%, BOD 48.4%, SS 60.1% and colority 45.1%, respectively. The marked change of BOD level from 8.3 mg/L to 4.3 mg/L under the experimental conditions in this study implied the improvement of class V to class III set by the river water quality standard in Korea.

Quantitative Estimation of Nonpoint Source Load by BASINS/HSPF (BASINS/HSPF 모형을 활용한 비점오염부하의 정량적 평가)

  • Lee, Jae-Woon;Kwon, Hun-Gak;Yi, Youn-Jeong;Yoon, Jong-Su;Han, Kun-Yeun;Cheon, Se-Uk
    • Journal of Environmental Science International
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    • v.21 no.8
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    • pp.965-975
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    • 2012
  • Loading of NPS pollutant was valued through simulation by using BASINS/HSPF model which can simulate runoff volume in rainfall by time. For the verification of the model, it was analyzed the scatter diagram of the simulation value and measure value of water quality and runoff volume in Dongcheon estuary. Using the built model, a study on the time-variant characteristics of runoff and water quality was simulated by being classified into four cases. The result showed the simulation value was nearly same as that of the measured runoff. In the result of fit level test for measured value and simulated value, correlation of runoff volume was computed high by average 0.86 and in the water quality items, fit level of simulation and measurements was high by BOD 0.82, T-N 0.85 and T-P 0.79.

Performance Characteristics and Economic Assessment of Heat Pump Systems with the Various Heat Source (열원에 따른 열펌프의 성능 비교 및 경제성 평가)

  • Park, Cha-Sik;Park, Kyoung-Woo;Kwon, Oh-Kyung
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.7 no.1
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    • pp.23-31
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    • 2011
  • The objectives of this study are to analyze the performance of a heat pump system with the various heat source and to carry out economic assessment for the heat pump system. The COP of the river water and ground source heat pump system was 20% higher than that of the air source heat pump system because river water and geothermal provide stable operating temperature compared with air temperature throughout the year. In addition, the economic assessment of a heat pump system using air, river water, and geothermal as a heat source was carried out. The ratio of the life cycle operating cost to the life cycle cost increased with the increase of building capacity. The payback period was found to be less than 3.3 and 4.5 years, respectively when the capacity of the river water and ground source heat pump was larger than 10 RT.

The Estimation of Contribution Ratio for Sub Stream in Nam River Basin (남강유역 지류·지천별 영향도 평가)

  • Lee, Jae-Woon;Kwon, Heon-Gak;Kwak, In-Soo;Youn, Jong-Soo;Cheon, Se-Uk
    • Journal of Environmental Impact Assessment
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    • v.21 no.5
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    • pp.745-755
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    • 2012
  • The relations between tributaries and mainstream were identified with the water qualities measurements in the field. Parameters of water qualities were BOD, T-N, T-P and measurements were performed by 4 events of rainfalls for 2011. The precipitation data influenced on pollutants loads. Pollutants loads were fluctuations with the seasonal variation. Gajoacheon contributed in 18.39% of BOD, 23.79% of T-N, 15.23% of T-P and Nabulcheon contributed in 13.54% of BOD, 13.05% of T-N and 13.66% of T-P in the region from Nam River_C to Nam River_D. In case of the region from Nam River_C to Nam River_D, Yongacheon river inflowed to main stream as 23.65% of BOD, 20.74% of T-N, and 15.05% of T-P.

Analytical Evaluation of Interference and Ratio of River Water at Riverbank Filtration Pumping Wells (강변여과 취수정의 간섭효과와 하천수 비율에 대한 해석적 평가)

  • Park, Namsik
    • Journal of Korea Water Resources Association
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    • v.47 no.8
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    • pp.685-691
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    • 2014
  • River bank filtration techniques seek to improve river water quality via natural processes occurring when river water is induced to a river bank. When water is pumped from multiple wells, phenomenon known as well interference affect pumping rates. Pumping wells of a bank filtration facility are connected by pipelines. In theses cases well interference is caused not only by groundwater drawdown but also by pipe headloss which depend on flow rates. In this work a comprehensive analytical method which handles groundwater flow and pipe flow is used to evaluate interferences and ratios of river water in pumping wells. A realistic case was used as an example.

Comparison of the Characteristics of Reservoir and Stream Sediments in Kum River basin (금강권역의 호소 및 하천 퇴적물 특성 비교)

  • Hwang, Jong-Yeon;Han, Eui-Jung;Kim, Tae-Keun;Yu, Soon-Ju;Yoon, Young-Sam;Chung, Yong-Soon
    • Journal of Environmental Impact Assessment
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    • v.7 no.2
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    • pp.135-143
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    • 1998
  • In order to study the general characteristics of reservoir and stream sediments, various analysis tests were conducted. Water contents and ignition loss were measured to know the primary sediment characteristics. The COD, total phosphorus and nitrogen were contained for the determination of organic substance content. For the purpose of establishing the contamination degree of heavy metals, some heavy metal contents were investigated. In heavy metal contents, reservoir sediments showed somewhat higer value than stream sediments. As a result, the reservoir sediment content of all analysis items were higher than stream sediment.

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창원시 대산면 취수 부지의 지하수와 낙동강의 수리화학적 특성 비교

  • Ham Se-Yeong;Jeong Jae-Yeol;Lee Jeong-Hwan;Kim Hyeong-Su;Ryu Sang-Hun;Kim Tae-Won;Kim Mun-Su
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • pp.307-311
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    • 2006
  • Chemical analyses were conducted for Nakdong River water and riverbank filtrate in Daesan-Myeon area, Changwon City in 2005. Chemical components show different trends in wet season (June, July, August and September) and dry season (the other months). The patterns of chemical variation are classified into four types. Chemical components belonging Type I, as Na and $HCO_3$, show decrease in concentration during wet season and increase in concentration during dry season for both Nakdong River water and the riverbank filtrate. Chemical components belonging Type II, as Mg and $SO_4$, show decrease in concentration during wet season and increase in concentration during dry season for Nakdong River water while show the opposite trend for the riverbank filtrate. Chemical components belonging Type III, as Cl and $NO_3$, show increase in concentration from the start of wet season and high concentration during dry season for both Nakdong River water and the riverbank filtrate. Chemical components belonging Type IV, as Fe, show increase in concentration during wet season and decrease in concentration during dry season for both Nakdong River water and the riverbank filtrate.

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Predictive Modeling of River Water Quality Factors Using Artificial Neural Network Technique - Focusing on BOD and DO- (인공신경망기법을 이용한 하천수질인자의 예측모델링 - BOD와 DO를 중심으로-)

  • 조현경
    • Journal of Environmental Science International
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    • v.9 no.6
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    • pp.455-462
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    • 2000
  • This study aims at the development of the model for a forecasting of water quality in river basins using artificial neural network technique. Water quality by Artificial Neural Network Model forecasted and compared with observed values at the Sangju q and Dalsung stations in Nakdong river basin. For it, a multi-layer neural network was constructed to forecast river water quality. The neural network learns continuous-valued input and output data. Input data was selected as BOD, CO discharge and precipitation. As a result, it showed that method III of three methods was suitable more han other methods by statistical test(ME, MSE, Bias and VER). Therefore, it showed that Artificial Neural Network Model was suitable for forecasting river water quality.

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