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LINEAR RAINFALL–RUNOFF SYSTEM IDENTIFICATION WITH RAMIFICATIONS FOR MODELLING CATCHMENT PROCESSES

✍ Scribed by C. R. DIETRICH


Book ID
102658785
Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
655 KB
Volume
10
Category
Article
ISSN
0885-6087

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✦ Synopsis


The convolution assumption between excess rainfall and runoff provides a framework in which catchment runoff can be predicted with reasonable accuracy and moderate computational cost. Associated with it, the deconvolution problem of estimating unitgraph ordinates from rainfall-runoff events involves a matrix with a particularly simple structure. This matrix structure is used here as a basis on which the ill-posed nature of deconvolution is analysed. As a result, based on a simple transform of the excess rainfall data, a very simple criterion is derived to test the degree to which deconvolution may yield a unit hydrograph estimate displaying spurious oscillations of large magnitude. This has practical implications as the solution to an ill-posed problem can be very sensitive to errors in the model and the data and therefore may need to be stabilized. Illustration of these issues is provided using published rainfall-runoff data.


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