Abstract
This paper focusses on the problem of real-time calibration of the time-variant rainfall-runoff relationship. Two different approaches to adaptive modelling of dynamic systems, i.e. firstly the introduction of a "forgetting' factor and secondly the use of an additive Q matrix into the recursive algorithms for the linear parmameter estimation problem, are compared. It is found that, from an operational standpoint, the use of an additive Q matrix leads to better forecasting performance. The choice of the additional design parameters however is not trivial and in this paper it is based on a simulation study using several storm events for subcatchments of the river Meuse, Belgium. -Authors
Original language | English (US) |
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Pages (from-to) | 519-530 |
Number of pages | 12 |
Journal | Unknown Journal |
State | Published - 1991 |
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)