Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis - Image 1

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CRC Press Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis

Name: Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis
Brand: CRC Press
Price: 115.18 GBP
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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.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138434000
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Civil Engineering > Environmental
Domain: Amazon UK
Release Date: 30 June 2017
Listed Since: 26 July 2017

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CRC Press Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis

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