Uncertainty analysis in rainfall-runoff modelling : application of machine learning techniques /

This thesis presents powerful machine learning (ML) techniques to build predictive models of uncertainty with application to hydrological models. Two different methods are developed and tested. First one focuses on parameter uncertainty analysis by emulating the results of Monte Carlo simulations of...

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Bibliographic Details
Main Author: Śreshṭha, Durgālāla
Format: Book
Language:English
Published: Leiden, The Netherlands : CRC/Balkema, 2009.
Subjects:

University of Minnesota

Holdings details from University of Minnesota
Call Number: GB980 .S57 2009