University thesis:
Zürich, Eidgenössische Techn. Hochschule., Univ., Diss., 2007
Footnote:
Description:
Distributedhydrological modelling is useful to improve our understanding of the mechanicsofnatural processes in a watershed and their interaction with human activity. It can support the estimation ofwateravailability, and the assessment ofthe impacts of climate and land use change or other activities within a watershed. This can support decision-making about measures to improve flood protection, water quality, aquatic ecosystems, and potential for recreational activities in the watershed. As all hydrologic modelling results are subject to uncertaintydue to measurement errors in input and response and error in model strueture, the reliability of modelling results must be assessed by estimating their uncertainty. In the last two decades, many uncertainty analysis techniques were developedand applied in the field of hydrology. Most of the uncertainty analysis (UA) methodologiesfocus only on parameter uncertainty and other sources of uncertainties are not or only partially represented, and the advantage and disadvantage ofdifferent UA techniques are not comparatively investigated...