• Title/Summary/Keyword: Han and Nakdong river

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Ecological Health Assessment using Fish for the Han River and Nakdong River in Korea (한강 및 낙동강 수계 주요 하천을 중심으로 어류를 이용한 수생태 건강성 평가)

  • Noh, Seong Yu;Choi, Hee Lak;Park, Jong Young;Hwang, Soon Jin;Kim, Sang Hun;Lee, Jae An
    • Journal of Korean Society on Water Environment
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    • v.31 no.3
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    • pp.319-327
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    • 2015
  • The present study was carried out to develop biological criteria for aquatic ecosystem health assessment using composition and diversity of collected species. The sampling sites were a total of 67 sites in the Han River (29 sites) and the Nakdong River (38 sites), May and September 2012. During the survey period fish were collected totally 93 species. In each water system, 73 and 61 species were collected in the Han River and the Nakdong River respectively. The current composition of fish species between the Han River and Nakdong River showed similar pattern. The dominant species was Zacco platypus of the Han River, and the Nakdong River was Opsariichthys uncirostris. In particular, ecological characteristics of O. uncirostris frequently appeared in general polluted waters. In conclusion, in the Nakdong River, average value of FAI (Fish Assessment Index) was averaged 41.3, indicating a "poor condition", and the Han River was 53.1, indicating a "poor condition". The aquatic health of the Nakdong River assessed based on FAI was considered to be worse than that of the Han River.

A Study of Statistical Methods in the Water Environmental Research of Han and Nakdong River Basins

  • Lee, Sang-Bock;Kim, Mal-Suk
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.1
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    • pp.23-35
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    • 2003
  • This paper provides the checklist of statistical methods in the water environmental research of Han and Nakdong river basins in South Korea. There are many errors pointed out in adopting statistical methods for the researches, as an example, basic statistical assumptions are missed for t-tests or regression analyses. Some new ideas are proposed for better researches of the river basins in Korea.

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A Study of Water Transfer between Han River and Nakdong River Basins (한강-낙동강 유역간 물이동 분석)

    • Journal of Korea Water Resources Association
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    • v.31 no.4
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    • pp.483-490
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    • 1998
  • The possibility of water transfer from Han river basin to Nakdong river basin by connecting them is studied as an alternative to solve water shortage problem in Nakdong river basin. After estimating the amount of water shortage from Nakdong river basin, the amount of water surplus from Han river basin is estimated by using simulation and optimization techniques. HEC-5 is used to study small to medium size reservoirs as a simulation technique and dynamic programming is used to study multi-purpose reserviors as an optimization technique. Also, the cost of the interbasin water transfer from Han river basin to Nakdong river basin is also compared with that of constructing new reserviors in Nakdong river basin. If new reservoirs are constructed in Nakdong river basin as planned, water supply can satisfy various water demands until 2021 without the interbasin water transfer. In economic point of view, constructing new reserviors has an advantage over the interbasin water transfer.

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Diversity of phytoplankton from the Nakdong River, South Korea: Euglenophytes

  • Kim, Han Soon;Lee, Jae Hak
    • Journal of Ecology and Environment
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    • v.46 no.2
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    • pp.99-110
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    • 2022
  • Background: Many investigations on phytoplankton from the Nakdong River carried out. However, since the weirs were constructed, only changes in phytoplankton biomass and dominant species have been restrictively studied in phytoplankton investigations in the Nakdong River. Added to this, any investigation on the phytoplankton flora has not been done in the Nakdong River. The aim of this study is to elucidate the characteristics of phytoplankton communities in the Nakdong River with the weirs built in it. Results: We observed a total of 103 taxa of Euglenophytes belonging to 8 genera from middle-lower part of the Nakdong River. The genus Trachelomonas was the most abundant group making up 40 taxa, followed Lepocinclis (20), Phacus (17), Strombomonas (14), Euglena (5), Colacium (3), Monomorphina (3) and Menoideum (1). Among them, a total of 22 taxa including Colacium (1), Lepocinclis (8), Phacus (4), Strombomonas (4) and Trachelomonas (5) were reported for the first time in Korea, and 86 taxa including those new to Korea were first recorded in the Nakdong River. All the species are illustrated with photomicrographs, and new to Korean species briefly discussed with regard to their taxonomy together with photomicrographs. Conclusions: The present study, a total of 22 taxa including one species of Colacium, 8 taxa of Lepocinclis, 4 taxa of Phacus, 4 taxa of Strombomonas and 5 taxa of Trachelomonas were reported for the first time in Korea, and 86 taxa including those new to Korea were first recorded in the Nakdong River.

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.

Time Lags between Hydrological Variables and Phytoplankton Biomass Responses in a Regulated River (the Nakdong River)

  • Kim, Myoung-Chul;Jeong, Kwang-Seuk;Kang, Du-Kee;Kim, Dong-Kyun;Shin, Hyun-Suk;Joo, Gea-Jae
    • Journal of Ecology and Environment
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    • v.32 no.4
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    • pp.221-227
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    • 2009
  • This study describes time lag responses between hydrological variables and phytoplankton biomass in a regulated river system, the lower Nakdong River in South Korea. The lower Nakdong is a typical flow-controlled lotic system, and its limnological characteristics are influenced by climatic variation such as monsoons and summer typhoons. Mean rainfall in the area during summer is about 1,200 mm, which comprises >60% of annual rainfall. Our results show that the regulation of flow in the Nakdong by multi-purpose dams from 1995 to 2004 affected phytoplankton dynamics. Diatom blooms occurred in winter, when the limited discharge allowed for proliferation of the phytoplankton community. Using multiple regression analysis, we detected significant time-delayed relationships between hydrological variables and phytoplankton biomass. These results may be useful for water resource managers, and suggest that 'smart flow' control would improve water quality in large regulated river systems of the Republic of Korea.

Development of Flow Interpolation Model Using Neural Network and its Application in Nakdong River Basin (유량 보간 신경망 모형의 개발 및 낙동강 유역에 적용)

  • Son, Ah Long;Han, Kun Yeon;Kim, Ji Eun
    • Journal of Environmental Impact Assessment
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    • v.18 no.5
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    • pp.271-280
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    • 2009
  • The objective of this study is to develop a reliable flow forecasting model based on neural network algorithm in order to provide flow rate at stream sections without flow measurement in Nakdong river. Stream flow rate measured at 8-days interval by Nakdong river environment research center, daily upper dam discharge and precipitation data connecting upstream stage gauge were used in this development. Back propagation neural network and multi-layer with hidden layer that exists between input and output layer are used in model learning and constructing, respectively. Model calibration and verification is conducted based on observed data from 3 station in Nakdong river.

Assessment of Water Management Efficiencies for Irrigation Pumping Stations in the Han River and Nakdong River Basins (한강 및 낙동강 유역의 양수장 지구 물관리효율 평가)

  • Kim, Hyeon-Jun;Kim, Chul-Gyum;kim, Sung
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.1
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    • pp.23-32
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    • 2003
  • The objective of this study is assessing water management efficiency using water withdrawals from rivers and water requirements for paddies. The water management efficiency was defined by the ratio of water requirements and water withdrawals. Water withdrawals were estimated using the operating times and pumping capacity of the pumping stations from 1992 to 1999 in the Han River and Nakdong River basins. Water requirements were estimated by adding the evapotranspiration of the crops and infiltrations in the irrigated area. Evapotranspiration from the paddies was calculated by the FAO modified Penman method with observed daily weather data. The monthly water management efficiency was analyzed for each pumping stations and the district offices of KARICO (Korea Agricultural and Rural Infrastructure Corporation). The efficiencies of 59 pumping stations in the Han River basin varied from 19% to 135%, and the average was 61%. The efficiencies of 146 pumping stations in the Nakdong River basin ranged from 17% to 190%, and the average was 72%. There were no good correlations between the water management efficiency and pump capacity or irrigated area, it showed that the water management efficiency was affected by the traditional water management practices rather than the scale of irrigation district.

A Study on Run-off of Small Basins Representing the four major Rivers in Korea (소류역의 유출량에 관한 연구 (사대강을 중심으로))

  • 이석우;김시원;엄태영
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.22 no.2
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    • pp.55-63
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    • 1980
  • To study run-off characteristics in the small watersheds in Korea, investigations had been carried out for a period of 4 years from 1972 to 1975 in the sample watersheds. The samples were selected in four major river basins such as the Han River, the Keum River, the Nakdong River and the Yongsan River. Water levels and rainfall data had been. collected from each sample area where the measuring instruments were installed. The findings of this investigation can be summarized as follows; 1. With an average runoff rate of 60% in the sample watersheds, the average runoff rate. in each sample proved to be as below; the Han River Basin : 41.4% the Keum River Basin : 61.7% the Nakdong River Basin : 69.4% the Yong San River Basin : 69.2% 2. The base flow rate in the sample watersheds proved to be 8.1 mm/month. 3. A comparison of the runoff obtained from actual measurements made and that calculated by the Kaijyama formula showed that the latter is 9.1% lower than the former.

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Water Quality Analysis in Nakdong River Tributaries Using 2012-2016 Monitoring Data (2012-2016년 모니터링 자료를 이용한 낙동강 지류·지천 수질 특성 분석)

  • Son, Younggyu;Na, Seungmin;Im, Tae Hyo;Kim, Sang-hun
    • Journal of Korean Society on Water Environment
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    • v.33 no.6
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    • pp.680-688
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    • 2017
  • Water quality monitoring for flow rates and BOD/COD/T-N/T-P/SS/TOC concentrations has been conducted in Nakdong river tributaries since 2011. In this study concentrations and loading rates of BOD, T-P, and TOC were analyzed to evaluate water quality monitoring stations using accumulated data at 206 tributary monitoring stations in Nakdong river 2012 ~ 2016. Average concentration ranges for 206 monitoring stations were 0.3 ~ 6.4 mg/L, 0.025 ~ 1.562 mg/L, and 0.6 ~ 10.7 mg/L for BOD, T-P, and TOC, respectively. Additionally, average loading rate ranges were 0.96 ~ 46,040 kg/d, 0.087 ~ 1,834 kg/d, and 1.51 ~ 80,425 kg/d for BOD, T-P, and TOC, respectively. Average concentration for BOD, T-P, and TOC at each monitoring station was evaluated using ambient water quality standards of rivers and water quality regulation level for medium-sized management areas. Average loading rate and specific loading rate (loading rate/drainage basin area) for BOD, T-P, and TOC at each monitoring station was considered to evaluate monitoring stations using suggested classification (BOD, TOC: -1, 1 ~ 10, 10 ~ 100, 100 ~ 1,000, and 1,000 ~ kg/d; T-P: -0.1. 0.1 ~ 1, 1 ~ 10, 10 ~ 100, and 100 ~ kg/d) Using results of this study, various water quality status maps were provided, and three evaluation methods were suggested to determine priority monitoring stations in Nakdong river for rational water quality control and tributaries basin management.