• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.412-427
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• 2016

댐의 건설은 자연하천에서 퇴적과 침식의 유사 순환과정에 영향을 주고 저수지 퇴사(reservoir sedimentation)를 야기한다. 이러한 현상은 댐의 건설 이후 장기간 축적되면서 이수와 취수에 대한 영향을 가져오기 때문에 댐 관리와 설계를 위해 정확한 추정이 필요하다. 퇴사량을 산정하는 방법에는 실측자료를 방법과 실제 유사량 자료를 이용하는 방법 그리고 경험공식을 이용하는 방법 등이 있으나, 가용한 자료의 부족으로 주로 경험 공식에 의존하고 있다. 이에 본 연구에서는 국내 대규모 다목적댐에 적합한 비퇴사량 산정 경험 공식을 제안하고자 하였다. 이를 위해 먼저 기존의 공식을 조사 및 검토하여 비퇴사량에 영향을 미칠 만한 여러 인자들을 선정하였다. 총 8개 국내 대규모 다목적댐의 비퇴사량 자료와 제원을 이용하여 다중 회귀분석을 실시하여 최종적인 식을 제안하였다. 그 결과, 대규모 다목적댐의 비퇴사량에 영향을 미치는 인자로 연평균 강우량(P, mm),연평균 유입량(I, cms), 유역 평균경사(S, %),저수지 길이(L, km),저수용량/유역면적(C/A, $m^3/km^2$)을 채택하였으며, 제안된 식을 이용하여 산정한 비퇴사량과 실측 비퇴사량의 상관계수와 결정계수는 각각 0.985, 0.970으로 확인되었다. 아울러, 다중 공선성 분석에서도 모두 일반적인 기준치를 범위 안에 존재함을 확인하면서, 선정된 독립변수들이 통계적으로 유의함을 확인하였다. 허나, 가용 자료의 부족과 불확실성으로 인해 여전히 한계점이 존재한다. 충분한 비퇴사량 실측 자료가 구축된다면, 보다 신뢰도 높고 발전된 형태의 경험 공식의 제안이 가능할 것이다.

• Journal of Wetlands Research
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• v.23 no.4
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• pp.287-295
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• 2021

As facilities such as dam reservoir wetlands and agricultural irrigation reservoir wetlands are built, sedimentation occurs over time through erosion, sedimentation transport, and sediment deposition. Sedimentation issues are very important for the maintenance of reservoir wetlands because long-term sedimentation of sediments affects flood and drought control functions. However, research on resignation has been estimated mainly by empirical formulas due to the lack of available data. The purpose of this study was to calculate and compare the sediment deposition rate by developing a multiple regression model along with actual data and empirical formulas. In addition, it was attempted to identify potential causes of collapse by applying it to 64 reservoir wetlands that suffered flood damage due to the long rainy season in 2020 due to reservoir wetland sedimentation and aging. For the target reservoir, 10 locations including the GaGog reservoir located in Miryang city, Gyeongsangnam province in South Korea, where there is actual survey information, were selected. A multiple regression model was developed in consideration of physical and climatic characteristics, and a total of four empirical formulas and sediment deposition rate were calculated. Using this, the error of the sediment deposition rate was compared. As a result of calculating the sediment deposition rate using the multiple regression model, the error was the lowest from 0.21(m³km²/yr) to 2.13(m³km²/yr). Therefore, based on the sediment deposition rate estimated by the multi-regression model, the change in the available capacity of reservoir wetlands was analyzed, and the effective storage capacity was found to have decreased from 0.21(%) to 16.56(%). In addition, the sediment deposition rate of the reservoir where the overflow damage occurred was relatively higher than that of the reservoir where the piping damage occurred. In other words, accumulating sediment deposition rate at the bottom of the reservoir would result in a lack of acceptable effective water capacity and reduced reservoir flood and drought control capabilities, resulting in reservoir collapse damage.

• Journal of the Korean Society of Hazard Mitigation
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• v.2 no.3 s.6
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• pp.109-117
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• 2002

An analysis to allocate storage space for sediment accumulation during the economic life of the reservoir is required in the planning or design of a reservoir. This analysis has been the most difficult and tedious aspect to deal with reservoir sedimentation because of the interaction between the various parameters related to the hydraulics of flow, reservoir operating policy, inflowing sediment load. The approach to analyzing spatial distribution of deposits has relied on empirical methods, all of which required a great deal of simplification from the actual physical phenomena. For the purpose of this study, reservoir sedimentation rate computed by Empirical Area Reduction Method is compared with measuring rate along the Soyang-gang Dam. As a conclusion, reservoir sedimentation rate can be estimated exactly by Empirical Area Reduction Method.

• Journal of Korea Water Resources Association
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• v.37 no.6
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• pp.467-477
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• 2004

Effective management of water resources in Korea becomes very important in recent years. Especially, the management of reservoirs cannot be over emphasized. The status of sediment deposit and the dredging records of agricultural reservoirs were examined to find out at e reservoir retention capacity could be raised more than 10% of the total volume of reservoirs in Kyungbook Province. Sediment prediction methods were developed by combining the estimation mothods of geomorphological characteristics and upslope contribution area in GIS, The estimated sediment depsit amount were compared with the dredging records for three agricultural reservoires. It was found that the distributed model with ‘Flow accumulation’ and ‘Multiple Flow Direction Algorithm’ gives good prediction results for mountaineous area.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.302-307
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• 2017

본 연구에서 퇴사량조사 실적 및 유량-유사량 관측 자료, 상 하류 수위-유량 자료를 보유하고 있는 B 저수지를 대상으로 3차원 수치모형을 이용하여 저수지 퇴사분포를 분석해 보았다. 또한 수치모형의 검증을 위하여 저수지내 6개 지점에 대한 시추 샘플링을 통해 퇴적토의 깊이를 측정하였다. 퇴적토 샘플링시 시료의 교란을 방지하기 위하여 동일지점에서 2회 샘플링 작업을 수행하였다. 샘플링 시료는 원지반과 퇴적지반의 구분을 위하여 시료분석 이전에 각 단면별 깊이를 측정하였으며, 시료는 각 단면별로 물리적 특성시험을 통해 압밀도를 측정하여 퇴적토의 깊이를 산정하고 수치모형시 검증 자료로 사용하였다. 본 연구에서는 3차원 수리해석과 함께 유사의 이송, 침식, 퇴적현상을 연동하여 모의 가능한 Delft3D 모형을 이용하여 B 저수지에 대한 유사 이송모의를 수행하였다. 모의 결과 저수지의 하폭이 넓어지는 지형 및 만곡부 인근에서 퇴적이 진행되는 결과를 보였으며, 퇴적토 시료와 비교한 결과 퇴적토 깊이는 일부 차이가 있었으나, 퇴적분포 양상은 유사한 결과를 보였다.

• Journal of Korea Water Resources Association
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• v.46 no.1
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• pp.87-97
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• 2013

The bed change model of HEC-RAS was used to predict the formation of a delta upon an influx of high-density sediment while taking the particle-size distributions of the suspended sediment and bed materials into account. The model was able to reasonably predict both the spatial-temporal distribution of the delta and the amount of deposited sediment according to the grain size. In addition, it was able to estimate the main type of grains that sediment at particular locations at particular times moderately well. It is expected that the simulation and the analysis considering these particle-size distributions of sediment will provide important information on planning and maintenance of the water resource related facilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.1-9
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• 2020

Acritical function of a nation is to protect its people's lives and properties from natural disasters such as a drought. A drought affects many aspects of human life, including social, economic, and industrial activities. Approximately 75.7% of reservoirs in Korea are over 50 years old.Sedimentation over the years may have caused a situation where storage capacity of the reservoirs is no longer sufficient and compliant with the original reservoir specifications. This study analyzes storage capacities for ten aged reservoirs using the autonomous navigation USV. It compares these capacities with sediment estimated by conventional empirical equations. Comparisons were made to the original specifications for the reservoirs.Storage capacity of six reservoirs decreased in a range between 16.2%-55.3% and storage capacity of 4 reservoirs increased in a range between 1.5%-380.2%. This data was compared to data derived from estimating sediment by empirical equations. Yoon's equation(1982) appeared more accurate than Sur's equation(1988) in Uhlinzi and Yongpo reservoirs, and Sur's equation(1988), however, appeared more accurate than Yoon's equation in Daegok, Ugok2 and Ochi reservoirs. The significant ranges of sedimentation shown in this study suggest that it is worth continuously surveying reservoirs to ensure their efficient management and operation.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.523-527
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• 2012

댐의 비퇴사량 산정은 기능적 역할에 직접적인 영향을 주기 때문에 실측을 통해 정확하고 신뢰성 높은 자료 확보가 필요하다. 일반적으로 설계시 댐 비퇴사량은 상류 유역 내에서 관측한 유사량을 퇴사량으로 환산하는 방법을 적용하여야 하나, 현재 우리나라는 유사량 관측 자료가 충분치 않아 타 지역의 관측 자료를 사용하거나, 경험공식을 이용하여 비퇴사량을 추정하고 있다. 이러한 방법은 각 공식별 특성에 따라 산정결과 값에 많은 차이를 보이는 문제가 있다. 따라서 본 연구에서는 용담댐에 실측 비퇴사량을 기준으로 가장 적절히 모의하는 경험공식의 순위를 결정하였으며, 천천 지점의 유량-유사량 관계식을 적용한 하상변동을 모의하기 위해 2차원 모형인 SMS 모형을 적용하여 하상변동의 특성을 분석하였다. 그 결과 용담댐의 비퇴사량 $472m^3/km^2/yr$을 기준으로 류시창과 민병형(1975) 경험공식이 가장 적절히 추정하였다. 또한 하상변동의 특성은 종방향 단면의 퇴적 높이가 수위에 비례하고 횡방향의 형태는 유입부에 퇴적이 많은 것으로 분석되었으며, 100년 후 댐체로 부터 22.1 km지점에서는 최대 5.674 m 퇴적 되고 저수용량이 800.945 백만$m^3$으로 감소할 것으로 추정되었다.

• Applied Biological Chemistry
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• v.38 no.2
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• pp.157-162
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• 1995

A reservoir located at Chollanam-do province was selected to estimate annual deposition rate, volume of annually deposited material, and annual soil loss from the watershed using Cs-137 redistribution. Sediment profiles of the reservoir indicated an average annual deposition rate of 1.56 cm $yr^{-1}$ and the total deposited volume of $166530\;m^3$ since 1963/64. Annual soil loss from the watershed was 25 ton $ha^{-1}$. Particle size analysis showed that most of the particles were silt-sized ones.

• Journal of Korea Water Resources Association
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• v.31 no.1
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• pp.95-103
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• 1998

Dam sediment can be predicted from the two methods: the one is a physical analysis based on the hydrjulic mechanism and the other is an empirical approach using observed data as a design factor. The former can be used to estimate short-term phenomena by mathematical methods. the latter can be used for deriving long-term design parameters such as dead storage calculation. Monthly reservoir operation is possible with the sluicing efficiency curve based on empirical data. The optimal sediment management can be carried out using the information variable which traces deposit sediments corresponding to the reservoir storage. The idea can provide an optimal operation strategy to save effective storage varying with time. This study presents a methodology for the long-term sediment prediction using sluicing efficiency curve. An application is conducted for estimating accumulated sedment deposit and water supply capability ofr the Fenhe dam in the Yellow rever of China.