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OverviewThis 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. Full Product DetailsAuthor: Jozsef Szilagyi (Budapest University of Technology and Economics, Hungary and University of Nebraska–Lincoln, USA) , Andras Szollosi Nagy (UNESCO-IHE Institute for Water Education, Delft, The Netherlands)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.453kg ISBN: 9781138410930ISBN 10: 1138410934 Pages: 208 Publication Date: 29 June 2017 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction. 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.ReviewsAuthor InformationJozsef Szilagyi, Andras Szollosi Nagy Tab Content 6Author Website:Countries AvailableAll regions |