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Viewing report
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Classification of River Networks for Prediction in
Ungauged Basins. Edition No. 1
VDM Publishing House, Aug 2008, Pages: 160
The majority of the world’s river basins remain
ungauged and, therefore, empirical techniques for
predicting floods and droughts cannot be applied. An
alternative approach is to develop continuous
simulation models whose parameters pertain to
physical or hydrological properties of the river
basins. However, difficulties related to scale,
heterogeneity and complexity of real river basins
have made a priori estimation of such parameters
impossible: their estimation has always required
calibration using river flow data. Therefore,
estimating hydrological model parameters in ungauged
river basins is one of the greatest challenges
currently facing hydrologists. In this work, a novel
method for classifying river basins according to
their physical properties is proposed. The study
focuses on the surface flow component, applying the
methodology to identify the best classifiers for
surface flow through river networks. This required
simulating river flow through a large number of
Scottish river basins, developing a flow routing
modelling system that extracts river network detail
from digital databases and numerically solves a
distributed flow routing model.
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