Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Reduced order emulation of distributed hydraulic models
AU - Young, Peter
AU - Leedal, David
AU - Beven, Keith
AU - Szczypta, Camille
PY - 2009/7/6
Y1 - 2009/7/6
N2 - Water level predictions made with hydraulic models are uncertain and evaluatingthis uncertainty using Monte Carlo ensemble prediction is computationally very expensive. In this paper we show how a reduced order Dynamic Model Emulator (DME) can be used to reproduce, with high accuracy, the outputs of a large and complex 1-D hydraulic model (HEC-RAS) at specied cross-sections along the Montford to Buildwas reach of the River Severn in the U.K, together with estimates of uncertainty in the predictions. This emulation model is obtained by the application of Dominant Mode Analysis (DMA), involving the identication and estimation of nonlinear State-Dependent Parameter (SDP) transfer function models, using data generated by dynamic experiments conducted on the HEC-RAS model. The paper shows how this `nominal' DME is able to emulate the distributed hydraulic model for a nominal set of its physically-dened parameters and it presents initial results from a complete DME that emulates the HEC-RAS model over a user-dened region of its parameter space.
AB - Water level predictions made with hydraulic models are uncertain and evaluatingthis uncertainty using Monte Carlo ensemble prediction is computationally very expensive. In this paper we show how a reduced order Dynamic Model Emulator (DME) can be used to reproduce, with high accuracy, the outputs of a large and complex 1-D hydraulic model (HEC-RAS) at specied cross-sections along the Montford to Buildwas reach of the River Severn in the U.K, together with estimates of uncertainty in the predictions. This emulation model is obtained by the application of Dominant Mode Analysis (DMA), involving the identication and estimation of nonlinear State-Dependent Parameter (SDP) transfer function models, using data generated by dynamic experiments conducted on the HEC-RAS model. The paper shows how this `nominal' DME is able to emulate the distributed hydraulic model for a nominal set of its physically-dened parameters and it presents initial results from a complete DME that emulates the HEC-RAS model over a user-dened region of its parameter space.
KW - nonlinear systems
KW - system identification
KW - Time series
U2 - 10.3182/20090706-3-FR-2004.00293
DO - 10.3182/20090706-3-FR-2004.00293
M3 - Conference contribution/Paper
VL - 15
BT - 15th IFAC Symposium on System Identification, 2009
PB - IFAC
ER -