A Study on the Impact Range Calculation at the Downstream of Dam

Park, Bong-Jin; Kim, Hyeon-Sik; Jung, Kyomin; Ji, Hong-Ki

doi:10.3741/jkwra.2008.41.10.1009

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…These dams affect the water quality, flow, and ecology of downstream rivers. In previous studies, it was also confirmed that artificial dams affect physical, biological and chemical changes in downstream rivers [22][23][24][25][26].…”

Section: Study Areamentioning

confidence: 54%

Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification

et al. 2020

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To determine the high-priority tributaries that require water quality improvement in the Nakdong River, which is an important drinking water resource for southeastern Korea, data collected at 28 tributaries between 2013 and 2017 were analyzed. To analyze the water quality characteristics of the tributary streams, principal component analysis and factor analysis were performed. COD (chemical oxygen demand), TOC (total organic carbon), TP (total phosphorus), SS (suspended solids), and BOD (biochemical oxygen demand) were classified as the primary factors. In the self-organizing maps analysis using the unsupervised learning neural network model, the first factor showed a highly relevant pattern. To perform the grade classification, 11 parameters were selected. Six parameters are concentrations of the main parameters for the water quality standard assessment in South Korea. We added the pollution load densities for the selected five primary factors. Joochungang showed the highest pollution load density despite its small watershed area. According to the results of the grade classification method, Joochungang, Topyeongcheon, Hwapocheon, Chacheon, Gwangyeocheon, and Geumhogang were selected as tributaries requiring high-priority water quality management measures. From this study, it was concluded that neural network models and grade classification methods could be utilized to identify the high-priority tributaries for more directed and effective water quality management.

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Section: Study Areamentioning

confidence: 54%

Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification

et al. 2020

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“…서 론 댐은 홍수시에 하류하천의 첨두홍수량을 감소시키고, 갈수시에는 지속적인 하천의 유지유량 공급 및 수력발전 이나 관개 등에 이용되는 유용한 역할을 한다 (Park et al, 2008). 하류측에 대해 단기적으로는 유출 특성의 변화, 장기 적으로는 저류량 증가에 따른 건기 유량의 증가, 유황 및 유 출 특성의 변화 등의 영향을 주게 된다.…”

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Assessing the Effect of Upstream Dam Outflows and River Water Uses on the Inflows to the Paldang Dam

Kim¹,

Kim²,

Lee³

2014

Journal of Korea Water Resources Association

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This resulted an increase of low-flow at the Paldang Dam, the end of Pukhangang, and the Yangpyeong stage station by 100.57 m³/s, 33.01 m³/s, and 49.66 m³/s, respectively. Whereas, the impact of river water use was hardly found in the Pukhangang, and also was not significant in the (Nam)hangang. Therefore, the effect of small dam such as the Hoengseong Dam or river water use would be able be excluded for long-term runoff analysis. But, in the case of the areas with a large amount of water use, a sufficient information such water-intake and water movement also must be taken into account like this study. keywords : Paldang Dam, Multi-purpose Dam, river water, SWAT-K, Watershed model

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Inference of natural flood frequency for the region affected by dams in Nam Han River

Kim¹,

Lee²,

Lee³

2016

Journal of Korea Water Resources Association

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The objective of this study is to estimate the unregulated flood frequency from Chungju dam to Yangpyung gauging station for the region affected by dams based on the peak discharges simulated by storage function routing model. From the flood frequency analyses, the quantiles for the unregulated flood frequency at 6 sites have similar pattern to each other, and their averaged quantile almost matched to the result from the regional flood frequency analysis. The quantile and annual mean discharge for the unregulated flood frequency for the downstream of Chungju dam show the similar behaviour to those for the upstream area. While the quantile and the annual mean discharge for the regulated flood frequency are significantly different from those for the unregulated flood frequency. In particular, the qunatile shows severe difference as the return period increases, and the annual mean discharge has a tendency to approach to the natural flood as the distance from dam increases.

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A Study on the Impact Range Calculation at the Downstream of Dam

Cited by 3 publications

References 21 publications

Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification

Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification

Assessing the Effect of Upstream Dam Outflows and River Water Uses on the Inflows to the Paldang Dam

Inference of natural flood frequency for the region affected by dams in Nam Han River

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