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Explanation

Application of the Kalman filter to the Nash model
Lee YH, Singh VP
HYDROLOGICAL PROCESSES
12 (5): 755-767 APR 1998

Document type: Article    Language: English    Cited References: 38    Times Cited: 1   

Abstract:
The Nash model was used for application of the Kalman filter. The state vector of the rainfall-runoff system was constituted by the IUH (instantaneous unit hydrograph) estimated by the Nash model and the runoff estimated by the Nash model using the Kalman filter. The initial values of the state vector were assumed as the average of 10% of the IUH peak values and the initial runoff estimated from the average IUH. The Nash model using the Kalman filter with a recursive algorithm accurately predicted runoff from a basin in Korea. The filter allowed the IUH to vary in time, increased the accuracy of the Nash model and reduced physical uncertainty of the rainfall-runoff process in the river basin. (C) 1998 John Wiley & Sons, Ltd.

Author Keywords:
Kalman filter, Nash model, IUH, rainfall-runoff system, system model, measurement model, Kalman gain, state estimation error, measurement error, recursive algorithm

KeyWords Plus:
STOCHASTIC HYDROMETEOROLOGICAL MODEL, DAILY STREAM FLOWS, PREDICTION, RIVER, FLOOD, ALGORITHM

Addresses:
Lee YH, Kyungsan Univ, Dept Environm Sci, Kyungsan 712715, South Korea
Kyungsan Univ, Dept Environm Sci, Kyungsan 712715, South Korea

Publisher:
JOHN WILEY & SONS LTD, W SUSSEX

IDS Number:
ZN793

ISSN:
0885-6087


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