Recursive Streamflow Forecasting

A State Space Approach
1. Auflage 2010
ISBN: 978-0-415-56901-9
Verlag: Taylor & Francis

Buch, Englisch, 212 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 431 g

This textbook is a practical guide to real-time streamflow forecasting that 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. By knowing in advance when, where, and at what level a river will crest, appropriate protection works can be organized, reducing casualties and property damage. Through its real-life case examples and problem listings, the book teaches hydrology and civil engineering students and water-resources practitioners the physical forecasting model and allows them to apply it directly in real-life problems of streamflow simulation and forecasting. Designed as a textbook for courses on hydroinformatics and water management, it includes exercises and a CD-ROM with MATLAB® codes for the simulation of streamflows and the creation of real-time hydrological forecasts.

Autoren/Hrsg.

Szilagyi, Jozsef

Fachgebiete

• Naturwissenschaften Physik Mechanik Kontinuumsmechanik, Strömungslehre
• Geowissenschaften Geologie GIS, Geoinformatik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Strömungslehre
• Geowissenschaften Geologie Hydrologie, Hydrogeologie
• Geowissenschaften Geographie | Raumplanung Geostatistik

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.

Über Autor(innen)

Jozsef Szilagyi, Andras Szollosi Nagy