Buch, Englisch, 182 Seiten, Format (B × H): 171 mm x 244 mm, Gewicht: 326 g
UNESCO-IHE Phd Thesis
Buch, Englisch, 182 Seiten, Format (B × H): 171 mm x 244 mm, Gewicht: 326 g
ISBN: 978-0-415-57380-1
Verlag: Taylor & Francis Ltd
Day-to-day water management is challenged by meteorological extremes, causing floods and droughts. Often operational water managers are informed too late about these upcoming events to be able to respond and mitigate their effects, such as by taking flood control measures or even requiring evacuation of local inhabitants. Therefore, the use of weather forecast information with hydrological models can be invaluable for the operational water manager to expand the forecast horizon and to have time to take appropriate action. This is called Anticipatory Water Management.
Anticipatory actions may have adverse effects, such as when flood control actions turn out to have been unnecessary, because the actual rainfall was less than predicted. Therefore the uncertainty of the forecasts and the associated risks of applying Anticipatory Water Management have to be assessed. To facilitate this assessment, meteorological institutes are providing ensemble predictions to estimate the dynamic uncertainty of weather forecasts. This dissertation presents ways of improving the end-use of ensemble predictions in Anticipatory Water Management.
Zielgruppe
Primary readers should be hydrological and meteorological scientists and engineers working on or with ensemble prediction systems. Secondary readers should be scientists and engineers working in flood forecasting, early warning, and control. Tertiary readers should be scientists and engineers working in operational water management.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Introduction; 2. Anticipatory Water Management; 3. Framework for Developing Anticipatory Water Management (AWM); 4. Case Study 1 - Rijnland Water System; 5. Case Study 2 - Upper Blue Nile; 6. Conclusions and Recommendations.




