Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques
UNESCO-IHE PhD Thesis
Gerald Augusto Corzo Perez author
Format:Hardback
Publisher:Taylor & Francis Ltd
Published:30th Jun '17
Currently unavailable, and unfortunately no date known when it will be back
This hardback is available in another edition too:
- Paperback£61.99(9780415565974)
This book presents the investigation of possibilities and different architectures of integrating hydrological knowledge and conceptual models with data-driven models for the purpose of hydrological flow forecasting. Models resulting from such integration are referred to as hybrid models. The book addresses the following specific topics: A classification of different hybrid modelling approaches in the context of flow forecasting.The methodological development and application of modular models based on clustering and baseflow empirical formulations.The integration of hydrological conceptual models with neural network error corrector models and the use of committee models for daily streamflow forecasting.The application of modular modelling and fuzzy committee models to the problem of downscaling weather information for hydrological forecasting.
The results of this research show the increased forecasting accuracy when modular models, which integrate conceptual and data-driven models, are considered. Committee machine modelling show to be able to manage increased lead time with an acceptable accuracy.
ISBN: 9781138434004
Dimensions: unknown
Weight: 453g
228 pages