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Calibration of Complex Subsurface Reaction Models Using a Surrogate-Model Approach
Citation:
MATOTT, L. S. AND A. J. Rabideau. Calibration of Complex Subsurface Reaction Models Using a Surrogate-Model Approach. ADVANCES IN WATER RESOURCES. Elsevier Science Ltd, New York, NY, 31(12):1697-1707, (2008).
Impact/Purpose:
This paper examines and proposes new tools for addressing several important aspects of subsurface batch and reactive transport modeling that make model assessment difficult: multi-model plausibility, excessive computational costs, and parameter non-uniqueness.
Description:
Application of model assessment techniques to complex subsurface reaction models involves numerous difficulties, including non-trivial model selection, parameter non-uniqueness, and excessive computational burden. To overcome these difficulties, this study introduces SAMM (Simultaneous Assessment of Multiple Models) a novel surrogate-based procedure for calibrating and ranking several alternative models. By combining a hybrid global-plus-polishing search heuristic with a biased-but-random model selection step, the SAMM method identifies and calibrates parsimonious models via efficient exploration of the multi-model calibration space.
