• Title/Summary/Keyword: River stage forecasting

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Determination and Evaluation of Optimal Parameters in Storage Function Method using SCE-UA (SCE-UA를 이용한 저류함수모형 최적 매개변수 선정 및 평가)

  • Chung, Gunhui;Park, Hee-Seong;Sung, Ji Youn;Kim, Hyeon-Jun
    • Journal of Korea Water Resources Association
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    • v.45 no.11
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    • pp.1169-1186
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    • 2012
  • Storage function method has been used for flood forecasting in the major rivers in Korea, however, the researches on the relationship between the parameters and runoff characteristics was not sufficient. In addition, there has been a controversy about the optimized parameters without the consideration of the physical characteristics of the basin. Therefore, in this study, the SCE-UA method is used to optimize the parameters and the proposed method was applied with two stage optimization in the Jeongseon and Yeongwol watersheds located in the most upstream in the South Han river. The contour map was developed to investigate parameters and the error surface calculated from the runoff. The proposed parameters is to provide a range of the possible parameter set in a watershed, rather than a specific value. However, the applicability is examined using the average value of the proposed ranged parameters. In this study, the criticism about the optimization technique to find an optimal value having no physical meaning on a watershed is tried to avoid. The objective of this study is to provide a range of parameters for the flood forecasting model and the intuition about the behavior of the parameters, so the efficiency of flood forecasting is increased.

Real-time Upstream Inflow Forecasting for Flood Management of Estuary Dam (담수호 홍수관리를 위한 상류 유입량 실시간 예측)

  • Kang, Min-Goo;Park, Seung-Woo;Kang, Moon-Seong
    • Journal of Korea Water Resources Association
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    • v.38 no.12 s.161
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    • pp.1061-1072
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    • 2005
  • A hydrological grey model is developed to forecast short-term river runoff from the Naju watershed located at upstream of the Youngsan estuary dam in Korea. The runoff of the Naju watershed is measured in real time at the Naju streamflow gauge station, which is a key station for forecasting the upstream inflow and operating the gates of the estuary dam in flood period. The model's governing equation is formulated on the basis of the grey system theory. The model parameters are reparameterized in combination with the grey system parameters and estimated with the annealing-simplex method In conjunction with an objective function, HMLE. To forecast accurately runoff, the fifth order differential equation was adopted as the governing equation of the model in consideration of the statistic values between the observed and forecast runoff. In calibration, RMSE values between the observed and simulated runoff of two and six Hours ahead using the model range from 3.1 to 290.5 $m^{3}/s,\;R^2$ values range from 0.909 to 0.999. In verification, RMSE values range from 26.4 to 147.4 $m^{3}/s,\;R^2$ values range from 0.940 to 0.998, compared to the observed data. In forecasting runoff in real time, the relative error values with lead-time and river stage range from -23.4 to $14.3\%$ and increase as the lead time increases. The results in this study demonstrate that the proposed model can reasonably and efficiently forecast runoff for one to six Hours ahead.

Down Stream Flood Forecasting and Warning Method Using Parellel River Stage (병렬 하천수위를 이용한 하류 홍수위 예경보기법)

  • Kwon, Ki-Dae;Choo, Yean-Moon;Jee, Hong-Kee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.393-397
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    • 2012
  • 인접한 저수지 간의 연계운영을 통한 홍수조절 및 용수공급능력을 제고시키기 위해서 저수용한 공유기법의 일환인 병렬저수지 시스템을 연구대상으로 안동댐 및 임하댐 유역을 연계운영기법으로서 홍수조절능력을 제고시키고 안동댐의 저수량을 확보시켜 용수공급능력을 제고시킬 수 있는 방법을 연구하였다. 특히 유역추적과 하도추적을 통해 계산된 매개변수들을 실제 형태와 비교분석하여 산정하고, 이에 따른 가장 적합한 강우-유출해석을 통한 하류 지역의 홍수 피해를 최소화하기 위한 예 경보 기법을 제시하였다. 최적의 유수전환용량을 산정하기 위해 저수지간의 Swiching 기법을 고려하였으며, HEC-HMS 모형을 이용하여 재현기간별 유입량을 예측하여 결과를 도출하였다.

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Estimation of Flood Discharge and Forecasting of Flood Stage in Small-Medium Urban Basin (중소도시유역의 홍수량산정 및 홍수위 예측)

  • Kim, min-jeong;Kim, byeong-chan;Lee, jong-seok
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.432-436
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    • 2009
  • Recently, damage of flood is increased because of a short of time of concentration by development and a rise in runoff discharge by frequently heavy rain. The increase of runoff discharge is resulted in not only rise of water level but also damage of lives and property around river. Therefore, it is should be the first to estimate the exact runoff discharge. And based on the estimated flood discharge, flood damage is prevented by estimating inundated area of flood. In this study, flood stage is forecasted using HEC-HMS and HEC-RAS for Namdae-stream. The peak discharges were determinated by probability rainfall with the return period. The peak discharges obtained from HEC-HMS were inputted boundary conditions for the channel routing. Flood stages were evaluated using HEC-RAS.

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Implementation of Agrometeorological Early Warning System for Weather Risk Management in South Korea

  • Shim, Kyo Moon;Kim, Yong Seok;Jung, Myung-Pyo;Choi, In Tae;Kim, Hojung;Kang, Kee Kyung
    • Journal of Climate Change Research
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    • v.8 no.2
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    • pp.171-175
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    • 2017
  • The purpose of the farmstead-specific early warning service system for weather risk management is to develop custom-made risk management recommendations for individual farms threatened by climate change and its variability. This system quantifies weather conditions into a "weather risk index" that is customized to crop and its growth stage. When the risk reaches the stage where it can cause any damage to the crops, the system is activated and the corresponding warning messages are delivered to the farmer's mobile phone. The messages are sent with proper recommendations that farmers can utilize to protect their crops against potential damage. Currently, the technology necessary to make the warning system more practical has been developed, including technology for forecasting real-time weather conditions, scaling down of weather data to the individual farm level and risk assessments of specific crops. Furthermore, the scientific know-how has already been integrated into a web-based warning system (http://new.agmet.kr). The system is provided to volunteer farmers with direct, one-on-one weather data and disaster warnings along with relevant recommendations. In 2016, an operational system was established in a rural catchment ($1,500km^2$) in the Seomjin river basin.