## Abstract This paper presents the application of a multimodel method using a waveletβbased Kalman filter (WKF) bank to simultaneously estimate decomposed state variables and unknown parameters for realβtime flood forecasting. Applying the Haar wavelet transform alters the state vector and input v
β¦ LIBER β¦
Kalman filter estimation model in flood forecasting
β Scribed by Tahir Husain
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 506 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0309-1708
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## Two conceptual rainfall-runoff models are described incorporating non-linear surface and groundwater storages in association with kinematic wave routing of channel flow. The models are shown to be suitable for design purposes and one of them, in preliminary investigations, appears to be suitabl