Application of MATLAB and Python optimizers to two case studies involving groundwater flow and contaminant transport modeling

Matott, L. Shawn; Leung, Kenny; Sim, Junyoung

doi:10.1016/j.cageo.2011.03.017

Cited by 38 publications

(27 citation statements)

References 33 publications

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“…The DDS algorithm is well suited for optimization problems with a large number of calibration parameters, such as distributed hydrologic model calibration; example applications of DDS for calibrating distributed models include Wallner, Haberlandt, and Dietrich (2012), White et al (2011), Matott, Leung, and Sim (2011), and Clark et al (2008. The DDS algorithm was specifically designed for automatic calibration of hydrologic models and the algorithm is able to converge rapidly to a good calibration solution and easily avoid poor local optima (Tolson & Shoemaker, 2007).…”

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confidence: 99%

Calibrating Environment Canada's MESH Modelling System over the Great Lakes Basin

et al. 2014

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This paper reports on recent progress towards improved predictions of a land surface-hydrological modelling system, Modélisation Environmentale-Surface et Hydrologie (MESH), via its calibration over the Laurentian Great Lakes Basin. Accordingly, a "global" calibration strategy is utilized in which parameters for all land class types are calibrated simultaneously to a number of sub-basins and then validated in time and space. Model performance was evaluated based on four performance metrics, including the Nash-Sutcliffe (NS) coefficient and simulated compared with observed hydrographs. Results from two calibration approaches indicate that in the model validation mode, the global strategy generates better results than an alternative calibration strategy, referred to as the "individual" strategy, in which parameters are calibrated individually to a single sub-basin with a dominant land type and then validated in a different sub-basin with the same dominant land type. The global calibration strategy was relatively successful despite the large number of calibration parameters (51) and relatively small number of model evaluations (1000) used in the automatic calibration procedure. The NS values for spatial validation range from 0.10 to 0.72 with a median of 0.41 for the 15 sub-basins considered. Results also confirm that a careful model calibration and validation is needed before any application of the model. RÉSUMÉ [Traduit par la rédaction] Cet article présente les progrès récents vers des prévisions améliorées d'un système de modélisation hydrologique et de la surface du sol, le MESH (Modélisation environnementale-surface et hydrologie) par le biais de son étalonnage dans le bassin des Grands Lacs laurentiens. À cette fin, nous utilisons une stratégie d'étalonnage « d'ensemble » dans laquelle les paramètres pour tous les types de catégories de sol sont étalonnés simultanément pour un certain nombre de sous-bassins et validés dans le temps et dans l'espace. Nous avons évalué la performance du modèle d'après quatre mesures de performance, y compris le coefficient de Nash-Sutcliffe (NS), et comparé les simulations aux hydrogrammes observés. Les résultats de deux méthodes d'étalonnage indiquent que dans le mode de validation du modèle, la stratégie d'ensemble produit de meilleurs résultats qu'une autre stratégie d'étalonnage, désignée sous le nom de « stratégie individuelle », dans laquelle les paramètres sont étalonnés individuellement pour un sous-bassin unique avec une catégorie de sol dominante puis validés dans un sous-bassin différent avec la même catégorie de sol dominante. La stratégie d'étalonnage d'ensemble s'est avérée assez efficace malgré le grand nombre de paramètres d'étalonnage (51) et le petit nombre d'évaluations du modèle (1000) utilisées dans la procédure d'étalonnage automatique. Les valeurs NS pour la validation spatiale vont de 0,10 à 0,72 avec une médiane de 0,41 pour les 15 sous-bassins considérés. Les résultats confirment aussi qu'un étalonnage et une validation minutieux du modèle sont nécessa...

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Calibrating Environment Canada's MESH Modelling System over the Great Lakes Basin

et al. 2014

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“…Their locations are along the centroid of plume B approximately equally spaced. The application of this method demonstrates its effectiveness in estimating the sensitivities of the six pumping rates with the pumps in their positions given in .…”

Section: Applicationmentioning

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Sequential design for achieving estimated accuracy of global sensitivities

Guenther

Lee

Gray

2014

Appl Stoch Models Bus & Ind

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Global sensitivity analysis provides information on the relative importance of the input variables for simulator functions used in computer experiments. It is more conclusive than screening methods for determining if a variable is influential, especially if a variable's influence is derived from its interactions with other variables. In this paper, we develop a method for providing global sensitivities with estimated accuracy. A treed Gaussian process serves as a statistical emulator of the black box function. A sequential experimental design makes effective and efficient use of simulator evaluations by adaptively sampling points that are expected to provide the maximum improvement to the emulator model. The method accounts for both sampling error and emulator error.

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“…We mainly apply the Hooke-Jeeves Direct Search (HJDS) (Hooke et al, 1961) method. HJDS has previously been shown to be effective in optimizing subsurface flow systems in both hydrological (Matott et al, 2011) and oil reservoir applications. We also briefly consider particle swarm optimization (PSO), which is a stochastic global search method (Kennedy et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

Optimization of well placement, CO2 injection rates, and brine cycling for geological carbon sequestration

Cameron

Durlofsky

2012

International Journal of Greenhouse Gas Control

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Application of MATLAB and Python optimizers to two case studies involving groundwater flow and contaminant transport modeling

Cited by 38 publications

References 33 publications

Calibrating Environment Canada's MESH Modelling System over the Great Lakes Basin

Calibrating Environment Canada's MESH Modelling System over the Great Lakes Basin

Sequential design for achieving estimated accuracy of global sensitivities

Optimization of well placement, CO2 injection rates, and brine cycling for geological carbon sequestration

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