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KMID : 1024519940030040349
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Journal of the Environmental Sciences
1994 Volume.3 No. 4 p.349 ~ p.356
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A Linear Reservoir Model with Kslman Filter in River Basin
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Lee Yeong-Hwa
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Abstract
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The purpose of this study is to develop a linear reservoir model with Kalman filter using Kalman filter theory which removes a physical uncertainty of :ainfall-runoff process. A linear reservoir model, which is the basic model of Kalman filter, is used to calculate runoff from rainfall in river basin. A linear reservoir model with Kalman filter is composed of a state-space model using a system model and a observation model. The state-vector of system model in linear. The average value of the ordinate of IUH for a linear reservoir model with Kalman filter is used as the initial value of state-vector. A .linear reservoir model with Kalman filter shows better results than those by linear reserevoir model, and decreases a physical uncertainty of rainfall-runoff process in river basin.
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KEYWORD
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linear reservoir model, Kalman filter, state-space model, system model, observation model, IUH(Instantaneous Unit Hydrograph), state-vector, physical uncertainty, linear reservoir model with Kalman filter
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