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 simulation models
AU - Young, Peter C.
AU - Leedal, David
AU - Beven, Keith J.
AU - Szczypta, Camille
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Water level predictions made with hydraulic models are uncertain and evaluating this 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 specified 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 identification 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-defined parameters and it presents initial results from a complete DME that emulates the HEC-RAS model over a user-defined region of its parameter space.
AB - Water level predictions made with hydraulic models are uncertain and evaluating this 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 specified 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 identification 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-defined parameters and it presents initial results from a complete DME that emulates the HEC-RAS model over a user-defined region of its parameter space.
KW - Emulation
KW - Estimation
KW - Hydraulic
KW - Hydrological
KW - Identification
KW - Reduced order
U2 - 10.3182/20090706-3-FR-2004.0139
DO - 10.3182/20090706-3-FR-2004.0139
M3 - Conference contribution/Paper
AN - SCOPUS:80051619663
SN - 9783902661470
VL - 15
SP - 1762
EP - 1767
BT - 15th Symposium on System Identification, SYSID 2009 - Preprints
T2 - 15th IFAC Symposium on System Identification, SYSID 2009
Y2 - 6 July 2009 through 8 July 2009
ER -