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http://dx.doi.org/10.3741/JKWRA.2005.38.6.485

Runoff Simulation and Forecasting at Ungaged Station  

Ahn, Sang-Jin (Dept. of Civil Engineering, Chungbuk National Univ.)
Choi, Byong-Man (Dept. of Civil Engineering, Chungbuk National Univ.)
Yeon, In-Sung (Dept. of Civil Engineering, Chungbuk National Univ.)
Kwark, Hyun-Gu (Dept. of Civil Engineering, Chungbuk National Univ.)
Publication Information
Journal of Korea Water Resources Association / v.38, no.6, 2005 , pp. 485-494 More about this Journal
Abstract
It is very important to analyze the correlation between discharge and water quality. The observation of discharge and water quality are effective at same point as well as same time for real time management. But no less significant is the fact that there are some of real time water quality monitoring stations far from the T/M water stage. Pyeongchanggang station is one of them. In this case, it need to observe accurate discharge data, and to develop forecasting program or system using real time data. In this paper, discharge on Pyeongchanggang station was calculated by developed runoff neural network model, and compared with discharge using WMS(Watershed Modeling System) model. WMS shows better results when peak discharge is small and hydrograph is smooth. Forecasted discharge of neural network model have achieved the highest overall accuracy of specific discharge and WMS. Neural network model forecast change of discharge well on unrecored station.
Keywords
neural network; WMS model; discharge; ungaged station;
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Times Cited By KSCI : 6  (Citation Analysis)
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