• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1B
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• pp.9-20
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• 2012

Recently to overcome limitations of conceptual, hydrological and physics based models for flood stage forecasting, multiple linear regression model as one of data-driven models have been widely adopted for forecasting flood streamflow(stage). The objectives of this study are to compare performance of different multiple linear regression models according to regression coefficient estimation methods and determine most effective multiple linear regression flood stage forecasting models. To do this, the time scale was determined through the autocorrelation analysis of input data and different flood stage forecasting models developed using regression coefficient estimation methods such as LS(least square), WLS(weighted least square), SPW(stepwise) was applied to flood events in Jungrang stream. To evaluate performance of established models, fours statistical indices were used, namely; Root mean square error(RMSE), Nash Sutcliffe efficiency coefficient (NSEC), mean absolute error (MAE), adjusted coefficient of determination($R^{*2}$). The results show that the flood stage forecasting model using SPW(stepwise) parameter estimation can carry out the river flood stage prediction better in comparison with others, and the flood stage forecasting model using LS(least square) parameter estimation is also found to be slightly better than the flood stage forecasting model using WLS(weighted least square) parameter estimation.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.294-294
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• 2019

The system for predicting flood of river at Flood Control Office is made up of a rainfall-runoff model and FLDWAV model. This system is mainly operating to predict the excess of the flood watch or warning level at flood forecast points. As the demand for information of the management and operation of riverside, which is being used as a waterfront area such as parks, camping sites, and bike paths, high-level forecasts of watch and warning at certain points are required as well as production of lowland flood forecast information that is used as a waterfront within the river. In this study, a technology to produce flood forecast information in lowland areas of the river used as a waterfront was developed. Based on the results of the 1D hydraulic analysis, a model for performing spatial operations based on high resolution grid was constructed. A model was constructed for Andong district, and the inundation conditions and level were analyzed through a virtual outflow scenarios of Andong and Imha Dam.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.5
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• pp.179-186
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• 2007

This paper has investigated a rise of water level in upstream and downstream of bridge, which is caused by accumulation of debris in a bridge. The debris has been classified into several types in terms of size. The rise of water level which has been caused by installation and removal of sheet pile that is used to block water in a bridge has been analyzed using HEC-RAS model. According to the analysis, it has turned out that the debris has no influence on the rise of water level in ordinary water flow. In addition, sheet pile has little impact on the rise of water as well. Even though the impact of sheet file has turned out trivial in flood flow just like the ordinary water flow, it's been simulated that the maximum water level difference between upstream and downstream of bridge turned out more than 1.0meter because of debris in 80-year or more flood frequency. When the rise of water level in upstream from the cross section of the bridge was investigated based on 100-year flood frequency, besides, it has turned out that it had an influence up to 17.84km distance because of the effect of debris.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1061-1069
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• 2021

Recently, the magnitude and frequency of extreme heavy rains and localized heavy rains have increased due to abnormal climate, which caused increased flood damage in river basin. As a result, the nonlinearity of the hydrological system of rivers or basins is increasing, and there is a limitation in that the lead time is insufficient to predict the water level using the existing physical-based hydrological model. This study predicted the water level at Ulsan (Taehwagyo) with a lead time of 0, 1, 2, 3, 6, 12 hours by applying deep learning techniques based on Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) and evaluated the prediction accuracy. As a result, DNN model using the sliding window concept showed the highest accuracy with a correlation coefficient of 0.97 and RMSE of 0.82 m. If deep learning-based water level prediction using a DNN model is performed in the future, high prediction accuracy and sufficient lead time can be secured than water level prediction using existing physical-based hydrological models.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.204-204
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• 2011

자연하천의 만곡부에서는 원심력에 의하여 수위상승 이나 침식 등으로 제방이 파괴되고 월류되어 홍수피해가 빈번하게 발생된다. 그러므로 자연하천의 만곡부는 하천정비 및 안정하도의 유지관리를 위해 매우 중요한 하도구간중의 하나이다. 본 연구에서는 하도 만곡부의 흐름특성 연구를 위하여 만곡 유입부 형상에 따라 $90^{\circ}$만곡부의 실험수로에 대한 유속, 편수위 및 편경사의 변화특성을 검토하였다. 분석결과 먼저, 만곡정도에 관계없이 유량이 증가할수록 만곡부의 최대 최소 유속차 또한 증가하는 것으로 검토되었다. 다음으로 유입부 형상이 $90^{\circ}$인 지점에서 최대 횡방향 수면경사가 발생하였으며 직선하도에 비하여 최대 8% 정도 기울어진 것으로 검토되었다. 본 연구의 결과에서 검토된 만곡 하천의 수리특성과 편경사의 경향 등을 하천정비 또는 실시계획수립에 반영한다면 치수적으로 안전하고 보다 친환경적인 하천계획이 가능할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.578-583
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• 2004

수자원 계획 및 관리에서 가장 중요한 요소는 우량, 하천 수위, 유량 등과 같은 기포 수문자료이다. 이들 자료는 신뢰성을 바탕으로 지속적인 관측에 의한 장기적인 수문자료로 축적되어야 한다. 본 연구에서는 강원도 횡성군의 남한강 제1지류인 섬강의 상류에 위치한 계천 유역과 같은 산지지형에 대한 시험유역의 운영을 통하여 신뢰성 있는 고품질의 산간유역 수문자료를 지속적으로 확보하고자 한다 이를 위해 우량자료는 지점별로 10분 및 1시간 간격으로, 수위자료는 10분 간격으로 관측을 실시하고 있다. 또한 수위관측소에 대한 정기적인 유량측정을 실시하였으며, 이에 대한 불확실도 분석을 실시하여 자료에 대한 신뢰도를 검증하였다. 이를 토대로 각 지점별 수위-유량관계곡선을 개발하였으며, 이때 홍수로 인한 하상변화를 고려하여 자료에 대한 기간분리와 저수위 및 고수위에 대한 구간분리를 실시하였다. 이와 같이 축적된 수문자료들은 산간유역의 물 순환 해석을 위한 기초자료로 활용될 것으로 기대한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.513-516
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• 2007

임하다목적댐은 낙동가 하구로부터 약 356 km 상류에 위치하며 댐체의 길이 515 m, 높이 73 m의 rockfill 댐으로서, 총저류량은 595 백만$m^3$이다. 댐의 정상표고는 El. 168 m이고, 저수위 El. 137.0 m와 계획홍수위 El. 164.7 m 사이에서 운영되고 있다. 임하다목적댐의 표면취수설비는 댐우안 도수로 입구에 위치하며 콘크리트구조물로서 높이는 44.0m이다. 취수탑의 바닥표고는 EL.124.0 m이며 월류수심은 7.0m이다(한국수자원공사, 2004). 최대취수량은 $119.2m^3/s$이며 취수문은 직선형다단식게이트형식이고 폭 10.0m, 높이 6.0m의 게이트 5조와 폭 10.0m, 높이 3.25m의 게이트 1조로 구성되어있다. 본 연구에서는 미국 YSI사에서 제작한 ADV-6600을 이용하여 저수지에서 취수시 유속을 측정하여 취수구간이 저수지의 연직방향 유속에 미치는 영향을 분석하였다.

• Journal of Korea Water Resources Association
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• v.51 no.4
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• pp.371-381
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• 2018

Domestic agricultural reservoir dam facilities are difficult to manage water resources because of the in summer rainfall increase due to aging and climate change, it is expected that the dam risk will be large due to the overflow. In this study, author selected study basin in order to evaluate hydrological safety of agricultural reservoir dam facilities. And calculated the probable rainfall, Present PMP, Future PMP considering climate change. Also, author carried quantitative analysis out for increasing rainfall due to climate change, analyze freeboard assessment of agricultural reservoir by calculate flood discharge, reservoir flood routing according to rainfall scenarios. As a result of evaluate hydrological safety of agricultural reservoir dam facilities using Future PMP considering climate change, Gosam, Kumkwang, Miho, Cheongcheon reservoir had the Highest Water Level over the design flood level, it is analyzed that it would be vulnerable to overflow risk.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.3 s.18
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• pp.47-55
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• 2005

In order to design and manage the urban streams, the change of hydraulic characteristics by vegetation must be analyzed clearly. Planting criteria of vegetation in a urban stream were investigated and the design method of vegetation permission map was analyzed in this study. In addition, variations of water level due to vegetation are calculated by quasi two dimensional numerical model, HEC-RAS model and FESWMS model. Joongrang stream(Gunja bridge${\sim}$Jangan bridge reach) was selected as the case study stream. According to the criteria of vegetation, it is decided that vegetation density was $0.5{\sim}1.0$ tree/ha for selected tall tree in right floodplain and shrubs can be planted in the right and left floodplain area except the important hydraulic structures site. The selected shrubs planting simulations with three models show that water level in selected floodplain area increase approximately 12cm for the 100 year return period flood. The applicability of vegetation permission map in Korean urban stream was analyzed in this paper.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.1
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• pp.94-104
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• 2004

The purpose of this study is to analyze various hydraulic characteristics using SMS (Surface Water Modeling System) RMA2 model. It is based on 2-D finite element method. River reaches (13.8km) from Gyeongan gauge station to the inlet of Paldang lake was selected. Finite element was made by RIMGIS Data, and the analysis of river-changes was operated by unsteady flow. The sediment concentration and bed change was simulated using SED2D model. This River's velocity was distributed that 0.05~3.85m/s and bed change was changed about 0.0003~0.0135m.