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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 89
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: M. Papadrakakis and B.H.V. Topping
Paper 185
Research Demonstration of a Decomposition Approach for Large-Scale, Coupled Surface-Subsurface Watershed Model Calibration and Validation H.-P. Cheng1, S.M. England2, H.-C. Lin1, J.-R.C. Cheng1, E.V. Edris1, S.L. Ashby1 and D.R. Richards1
1U.S. Army Engineer Research and Development Centre, Vicksburg MS, United States of America
H.-P. Cheng, S.M. England, H.-C. Lin, J.-R.C. Cheng, E.V. Edris, S.L. Ashby, D.R. Richards, "Research Demonstration of a Decomposition Approach for Large-Scale, Coupled Surface-Subsurface Watershed Model Calibration and Validation", in M. Papadrakakis, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 185, 2008. doi:10.4203/ccp.89.185
Keywords: calibration, validation, decomposition approach, coupled surface-subsurface model, watershed model, GMS, WASH123D.
Summary
Numerical modelling codes and computational resources have progressed to a point
where accurate and useful physics-based models can now be developed to evaluate
regional watershed issues in a cost-effective manner. Effective and efficient model
calibration and validation for large-scale, physics-based watershed model is thus
needed. It is often more efficient to sub-divide the large scale models into smaller
sub-domains for calibration and validation. This paper presents a decomposition
approach for large-scale watershed model calibration and validation, where the
watershed system can be conceptualized as a combination of one-dimensional channel networks,
two-dimensional overland regimes, and three-dimensional subsurface media. This decomposition approach
subdivides the whole-domain model into several sub-domain models by using
existing channels as the "cut" boundary to separate sub-domains. Four steps are
included in the model calibration and validation process. In step one, the coupled two-three dimensional
sub-domain models are constructed and calibrated, where the historical one-dimensional
channel stages are used as boundary conditions on ground surface. In step two, the
coupled one-two-three dimensional sub-domain models are constructed and calibrated, where the
finalized overland and subsurface model parameters from step one were fixed such
that only the channel model parameters are adjustable in this step. In step three, the
sub-domain models are stitched together into the whole-domain model, and the model
parameters calibrated from the previous steps are fixed for the coupled one-two-three dimensional
whole-domain model calibration. In this step, only the channel model parameters
associated with the "cut" boundary are adjustable. In step four, the calibrated coupled
one-two-three dimensional whole-domain model from the former steps is validated against a set of
field data other than that used for calibration. This decomposition approach allows
the modeller to conduct more model runs at the sub-domain level, rather than at the
whole-domain level, which helps generate a better calibrated and validated model within
the given modelling time.
In this paper, a hypothetical example is employed as proof of concept to verify the proposed decomposition approach. This paper also describes the application of this modelling process to a regional-scale watershed system in South Florida that covers an area over 8,000 square miles as part of a research demonstration project in the Corps of Engineers Civil Work's System-Wide Water Resources Program at the US Army Engineer Research and Development Centre. (ERDC). Through the verification and the demonstration, the following points were drawn:
The US Department of Defence Groundwater Modelling System and the ERDC in-house WASH123D numerical model were used to construct and perform computer simulations, respectively. All the model runs were conducted on a PC cluster machine in ERDC's Major Shared Resource Centre for high performance computing. purchase the full-text of this paper (price £20)
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