• Title/Summary/Keyword: Yeongsan River Basin

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Classification of the Algal Monitoring Points by Histogram Analysis of Chlorophyll-a (Chlorophyll-a의 히스토그램 분석을 통한 녹조발생 우심지역 분류)

  • Lee, Saeromi;Ahn, Chang Hyuk;Park, Jae Roh
    • Journal of Environmental Impact Assessment
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    • v.29 no.1
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    • pp.37-44
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    • 2020
  • In this study, we analyzed the value of Chl-a by histogram to classify the points where algal management is required. The degree of algal bloom by point was analyzed using the ogive curve, and the algal control points were classified into three stages according to the shape of the frequency distribution table. Of the four major rivers, low concentration of Chl-a appeared most frequently in the Han River, while the high concentration of Chl-a was frequently found at the points of the Geum and the Yeongsan Rivers. In the case of the Han River, no apprehensive areas were found thatrequire intensive management, while most points on the Geum and the Yeongsan Rivers required algal management. Finally, the Nakdong River basin was identified as points requiring algal management from the mid to downstream. The results of this study have confirmation of the possibility that the frequency distribution could be used as a supplementary indicator to express the algal bloom.

Analysis of Water Quality Trends Using the LOADEST Model: Focusing on the Youngsan River Basin (LOADEST 모형을 활용한 수질 경향성 분석: 영산강 수계를 중심으로)

  • Gi-Soon, Lee;Jonghun, Baek;Ji Yeon, Choi;Youngjea, Lee;Dong Seok, Shin;Don-Woo, Ha
    • Journal of Korean Society on Water Environment
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    • v.38 no.6
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    • pp.306-315
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    • 2022
  • In this study, long-term measurement data were applied to the LOADEST model and used as an analysis tool to identify and interpret trends in pollution load. The LOADEST model is a regression equation-based pollution load estimation program developed by the United States Geological Survey (USGS) to estimate the change in the pollution load of rivers according to flow rate and time and provides 11 regression equations for pollution load evaluation. As a result of simulating the Gwangjuchen2, Pungyeongjeongchen, and Pyeongdongchen in the Yeongbon B unit basin in the middle and upper reaches of the Yeongsan River with the LOADEST model using water quality and flow measurement data, lower values were observed for the Gwangjuchen2 and Pyeongdongchen, whereas the Pungyeongjeongchen had higher values. This was judged to be due to the characteristics of the LOADEST model related to data continuity. According to the parameters estimated by the LOADEST model, pollutant trends were affected by increases in the flow. In addition, variability increased with time, and BOD and T-P were affected by the season. Thus, the LOADEST model can contribute to water quality management as an analytical tool for long-term data monitoring.

Morphological Classification of Unit Basin on Soil & Geo-morphological Characteristics in Yeongsan River Basin (토양 및 지형학적 특성에 따른 영산강유역의 소유역 분류)

  • Sonn, Yeon-Kyu;Hyun, Byung-Keun;Jung, Suk-Jae;Hur, Seong-Oh;Jung, Kang-Ho;Seo, Myung-Chul;Ha, Sang-Keun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.246-252
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    • 2007
  • 농업 비점오염원으로부터의 수질 보전이나 수자원 관리는 유역단위로 하여 농업적 관리뿐만 아니라 수질 관리 및 수자원 관리를 위해서도 유역단위 특히, 소유역의 토양특성을 포괄하는 단위로 체계적으로 분류할 필요성이 있다. 우리나라의 남서쪽에 위치한 영산강유역의 50개 소유역을 대상으로 토양도, 지형도, 하천도 및 유역도를 이용하여 만곡도, 산림의 비율, 평탄지의 비율, 다른 소유역으로부터의 유입이 있는지의 여부 등 토양학적으로 중요한 4개의 특성을 가지고 군집분석을 수행하였다. 그 결과 5개의 군으로 구분할 수 있었으며, 이 구분의 적합도를 검정하기 위하여 Mantel test를 한 결과 r = 0.81825로 나타나 적합하다는 결론을 얻었다. 이와 같이 토양과 지형특성을 포괄하는 소유역의 분류 및 유사성에 따른 그룹화는 농업에서의 최적영농관리나 오염물질에 따른 수질관리, 수문모형의 적용성 확대 및 수자원 관리에 합리적 유용성을 제공할 것이며 체계적 관리의 밑바탕이 될 것이다.

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Evaluation of the linked operation of Pyeongrim Dam and Suyangje (dam) during period of drought (가뭄 시 평림댐과 수양제 연계 운영 평가)

  • Park, Jinyong;Lee, Seokjun;Kim, Sungi;Choi, Se Kwang;Chun, Gunil;Kim, Minhwan
    • Journal of Korea Water Resources Association
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    • v.57 no.4
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    • pp.301-310
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    • 2024
  • The spatial and temporal non-uniform distribution of precipitation makes water management difficult. Due to climate change, nonuniform distribution of precipitation is worsening, and droughts and floods are occurring frequently. Additionally, the intensity of droughts and floods is intensifying, making existing water management systems difficult. From June 2022 to June 2023, most of the water storage rates of major dams in the Yeongsan river and Seomjin river basin were below 30%. In the case of Juam dam, which is the most dependent on water use in the basin, the water storage rate fell to 20.3%, the lowest ever. Pyeongnim dam recorded the lowest water storage rate of 27.3% on May 4, 2023. Due to a lack of precipitation starting in the spring of 2022, Pyeongnim dam was placed at a drought concern level on June 19, 2022, and entered the severe drought level on August 21. Pyeongrim dam and Suyangje(dam) have different operating institutions. Nevertheless, the low water level was not reached at Pyeongnim dam through organic linkage operation in a drought situation. Pyeongnim dam was able to stably supply water to 63,000 people in three counties. In order to maximize the use of limited water resources, we must review ways to move water smoothly between basins and water sources, and prepare for water shortages caused by climate change by establishing a consumer-centered water supply system.

The regional frequency analysis of the annual max. daily rainfall in Korea. (우리나라 지역최대 일우량의 빈도분석에 관한 연구)

  • 고재웅
    • Water for future
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    • v.13 no.1
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    • pp.39-48
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    • 1980
  • The purpose of this study was to set up the accurate way of estimating the frequency of the max. daily rainfall of the Korean rivers. The area selected for study were Han.Naktong, Geum, Yeongsan, and Seomjin River. The following five methods of the rainfallfrequency analysis were applied to twenty four subgrouped regions in the basins; 2 parameter lognormal, 3 parameter lognormal, Type I extremal(Gumbel method), Pearson Type III, and log-Pearson Type III. The regression equations were established between the depth of max. daily rainfall given 6 reccirrence interval(100, 50, 20, 10, 5, 2) and the basin area.

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A Study on the Characteristics of Natural Organic Matter and Disinfection By-Product Formation in the Juam Reservoir

  • Shin, Dae-Yewn;Moon, Ok-Ran;Yoon, Mi-Ran;Kim, Nam-Joung;Kang, Gang-Unn;Seo, Gwang-Yeob
    • Proceedings of the Korean Environmental Health Society Conference
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    • 2005.06a
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    • pp.259-262
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    • 2005
  • This study aims to identify the relationship between characteristics of aqueous organic matter and chlorination by-products formation potential according to temporal effect of Juam reservoir in Sun-Choen. The molecular weight distribution and chemical composition of precursors and their relationship with disinfection by-products(DBPs) were investigated. Most of the organic matters was responsible for the major DBP precursors in the raw water are small compounds with a molecular weight less than IKDa, Aromatic contents determined by SUVA correlated well with DBPs, THMs, and HAAs formation. Especially, THMFP/DOC showed better correlation with SUVA than HAAFP/DOC and DBPFP/DOC with SUVA in Juam reservoir. Therefore, effective removal of small molecules or hydrophobic organic matter prior to disinfection process will significantly reduce the DBP concentration in the finished water.

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Application of QUAL2K Model in the Yeongsan River Basin for the Water Quality Prediction (영산강 유역의 수질예측을 위한 QUAL2K 적용)

  • Park, Sung-Cheon;Jin, Young-Hoon;Kim, Yong-Gu;Bang, Jae-Pil;Moon, Byoung-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.986-990
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    • 2010
  • 본 연구에서는 영산강수계의 수질이 미래에 어떠한 양상으로 변화하는지 예측하여 파악하고자 하였다. 적용모형은 각종 수질관리에 적용되어 수질예측 결과의 신뢰도가 높은 US EPA에서 개발한 QUAL2E 모형의 단점을 보안하고 사용자가 보다 사용하기 쉽게 개발된 후속모형인 QUAL2K를 이용하였다. 영산강유역의 수질모형을 구축하고 실측 자료를 이용하여 보정하였으며, 목표연도는 2015년으로 선정하여 환경기초시설에 의한 오염물질 삭감량에 따른 하천수의 수질 변화를 예측하였다. 수질모의 항목은 실측자료를 바탕으로 하여 하천특성과 종합적인 부하량 산정이 가능한 BOD와 부영양화의 물질인 T-N과 T-P를 선정하여 모의하였다.

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