• Water for future
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• v.17 no.2
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• pp.107-112
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• 1984

It si presented here that in order to estimate reservoir sedimentation rate through the use of reservoir survey data of 66 irrigation reservoir in 3 major watersheds in this country, the correlation between reservoir sedimentation rate and the following factors; watershed area, trap-efficiency, watershed slope, shape factor of water shed, and reservoir deposition age in two models simple regression model and multiple regression model. Appropriatness of the proposed models have been calibrated from the survey data and as a result, it has been determined that the multiple regression model is much more accurate than the simple regression model. The annual sediment yield is correlated with watershed area and reservoir trap efficiency. It has been found that variation of the annual average sedimentation rate and the annual reservoir capacity loss rate are influenced by the trap efficiency of reservoir.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.100-103
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• 2021

Most companies study why employees resign their jobs to prevent the outflow of excellent human resources. To obtain the data needed for the study, employees are interviewed or surveyed before resignation. However, it is difficult to get accurate results because employees do not want to express their opinions that may be disadvantageous to working in a survey. Meanwhile, according to the data released by the Korea Labor Institute, the greater the difference between the minimum level of education required by companies and the level of employees' academic background, the greater the tendency to resign jobs. Therefore, based on these data, in this study, we would like to predict whether employees will leave the company based on data such as major, education level and company type. We generate four kinds of resignation prediction models using Decision Tree, XGBoost, kNN and SVM, and compared their respective performance. As a result, we could identify various factors that were not covered in previous study. It is expected that the resignation prediction model help companies recognize employees who intend to leave the company in advance.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.734-739
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• 2009

낙동강하구둑은 바다로부터의 염수칩입을 방지하고 하구둑 상류의 지속적인 용수 공급을 위해 1987년에 건설되었으며 이로 인해 낙동강 상류로부터 유입되는 유사가 낙동강하구둑 근처에서의 유속 감소로 인해 상류 접근수로에 퇴적되는 문제가 발생하고 있다. 이러한 낙동강하구둑 상류의 퇴적되는 유사로 인해 낙동강하류의 하상이 상승되고 통수단면이 축소되는 현상이 발생할 수 있으며 이는 홍수범람의 위험성을 가중 시키는 원인이 될 수 있다. 따라서 매년 하구둑 상류 접근수로에서는 퇴적되는 유사를 제거하기 위해 하구둑 건설 이후에 매년 준설 작업이 수행되고 있으며 최근에 이를 대체할 수 있는 여러 방법들이 여러 연구를 통해 검토되고 있는 실정이다. 특히 하폭이 급격하게 증가하는 하구둑 상류 2 km 지점은 매년 준설 작업 전에 시행되는 측량 자료에 의하면 이 지점에 많은 양의 유사가 퇴적되는 것으로 나타났다. 따라서 낙동강하구둑 접근수로에서 매년 준설되는 퇴사를 하구둑 상류 2 km 지점 우안 쪽을 매립함으로써 하도를 인위적으로 축소시켜 유속을 증가시키고 결과적으로 퇴사량을 경감 시킬 수 있을 것으로 예측된다. 이러한 하도 축소를 이용한 퇴사 저감 방법의 적용성 검토를 위해 2차원 수치모형인 RMA2 모형과 SED2D 모형을 이용하여 흐름 및 하상변동 분석하였다.

• Magazine of the Korean Society of Agricultural Engineers
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• v.35 no.2
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• pp.104-115
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• 1993

The objectives of this paper were to develop predictive equations for reservoir deposits and watershed sediment yields based on sediment survey data for irrigation reservoirs. Hundred reservoirs of various sizes, which have the surveyed data for sediment deposits, were chosen and fourteen watershed physiological and hydrological parameters were investigated. Correlationships between watershed parameters and sediment deposits were investigated and a best fit regression equation was derived, which may be applied for estimating reservoir sediment deposits. The sediment deposits were converted to the watershed sediment yields by applying the trap efficiencies and specific weights. The resulting sediment yields were related to watershed parameters and an empirical predictive equation was also proposed that may be used for rough estimations of watershed sediment yields.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.1 no.1
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• pp.69-76
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• 1981

The predictive equations for reservoir sedimentation rate now in use are extensively reviewed, and the equation of multiple regression type, in which the reservoir sedimentation rate is related with the watershed area and the trap-efficiency, is proposed based on the 113 irrigation reservoir resurvey data. The predictive relation so obtained proved to be a reasonable measure for the estimation of reservoir sedimentation rate. The relationship of sediment yield with the watershed area and with the reservoir trap efficiency is also analyzed. The variations of sedimentation rate and of the annual reservoir capacity loss rate was shown to heavily depend on the trap-efficiency of a reservoir. Besides, the effect of sedimentation on stream channels is confirmed and quantified based on the predictive equation derived in the present study.

• Journal of the Korean GEO-environmental Society
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• v.9 no.5
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• pp.21-27
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• 2008

The Sediment deposits in rivers and reservoirs are major components interfering with the useful function of the reservoirs, and clogging the inlet port at water intakes in rivers and erosion of pump impellers. Therefore, an accurate estimation method of sediment deposition is requisite to the efficient water resources investigation, planning and management. The objective of this paper is to forecast of reservoir sediment deposition using two dimensional model (SMS) to UnMun reservoir in GyeongSangBukDo. The RUSLE model showed that reservoirs volume was decreased $2,084.09{\times}10^6m^3$ after 50 years and $2,196.65{\times}10^6m^3$ after 100 years, which is plan flood level elevation (EL.152.12 m) reservoir. The two dimensional model showed that reservoirs volume was decreased $2,227.41{\times}10^6m^3$ after 50 years and $2,121.47{\times}10^6m^3$ after 100 years, which is plan flood level elevation (EL.152.12 m) reservoir. The results of this application showed that the use of two dimensional model was very effective for the estimation sediment deposits throughout the reservoir.

• 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.

• 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.

• Water for future
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• v.26 no.3
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• pp.63-74
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• 1993

The objectives of this paper were to apply the gross erosion and sediment delivery ration method for estimating sediment deposits at selected reservoirs of various sizes, and to define their trap efficiencies. Twenty reservoirs that have sediment survey data were selected and the annual average soil losses from subareas within each watershed were estimated using the Universal Soil Loss Equation (USLE). The gross erosion was defined fro the soil losses and estimated channel erosion. By applying the sediment delivery ratios that were defined from an empirical relationship with watershed areas, net incoming sediment yields at reservoirs were defined. Trap efficiencies were applied, sediment deposits estimated, and compared to the surveyed data. The results were in general agreement with the data. Trap efficiencies were also defined from the ratios of sediment deposits to incoming sediment yields. They were within 20% differences from Brune curve, which indicates that Brune curve may be applied for irrigation reservoirs. And an empirical relationship was proposed, that appeared more reliable for estimating trap efficiencies for typical irrigation reservoirs.