Fr. 170.00

Recursive Streamflow Forecasting - A State Space Approach

English · Paperback / Softback

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Informationen zum Autor Jozsef Szilagyi, Andras Szollosi Nagy Klappentext This practical guide to real-time streamflow forecasting provides a rigorous description of a coupled stochastic and physically based flow routing method and its practical applications. This method is used in current times of record-breaking floods to forecast flood levels by various Hydrological Forecasting Services. Zusammenfassung A practical guide to real-time streamflow forecasting. It provides a description of a coupled stochastic and physically-based flow routing method and its practical applications. It teaches hydrology and civil engineering students and water-resources practitioners the physical forecasting model. Inhaltsverzeichnis Introduction. Continuous flow routing techniques. State-space descriptions of the spatially discretized linear kinematic wave. State-space descriptions of the continuous Kalinin-Milyukov-Nash (KMN) cascade. State-space descriptions of the discrete linear cascade model (DLCM) and its properties: the pulse-data system approach. The sample-data system approach. DLCM and stream-aquifer interactions. Handling of model-error: the deterministic-stochastic model and its prediction updating. Some practical aspects of model application for real-time operational forecasting. Summary. Appendix. References. Guide to the exercises.

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