Comparison of parameter estimation algorithms in hydrological modelling

Roberta-Serena Blasone, Henrik Madsen, Dan Rosbjerg

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Local search methods have been applied successfully in calibration of simple groundwater models, but might fail in locating the optimum for models of increased complexity, due to the more complex shape of the response surface. Global search algorithms have been demonstrated to perform well for these types of models, although at a more expensive computational cost. The main purpose of this study is to investigate the performance of a global and a local parameter optimization algorithm, respectively, the Shuffled Complex Evolution (SCE) algorithm and the gradient-based Gauss-Marquardt-Levenberg algorithm (implemented in the PEST software), when applied to a steady-state and a transient groundwater model. The results show that PEST can have severe problems in locating the global optimum and in being trapped in local regions of attractions. The global SCE procedure is, in general, more effective and provides a better coverage of the Pareto optimal solutions at a lower computational cost.
    Original languageEnglish
    Title of host publicationCalibration and reliability in groundwater modelling: from uncertainty to decision making
    EditorsM.F.P. Bierkens, H.C. Gehrels, K. Kovar
    Volume304
    Place of PublicationOxfordshire, UK
    PublisherIAHS Press
    Publication date2006
    Pages67-72
    ISBN (Print)978-1-901502-58-9
    Publication statusPublished - 2006
    Event5th international conference on Calibration and Reliability in Groundwater Modelling - Scheveningen, Netherlands
    Duration: 6 Jun 20059 Jun 2005
    https://geo.ua.edu/ICGW/Newsletter/Report%20on%20Meeting%20-%20June%202005.pdf (model care 2005 look-back document)

    Conference

    Conference5th international conference on Calibration and Reliability in Groundwater Modelling
    Country/TerritoryNetherlands
    CityScheveningen
    Period06/06/200509/06/2005
    Internet address
    SeriesI A H S Proceedings and Reports
    Volume304
    ISSN0144-7815

    Keywords

    • automatic calibration
    • hydrological modelling
    • MIKE SHE model
    • optimization algorithms
    • parameter estimation

    Fingerprint

    Dive into the research topics of 'Comparison of parameter estimation algorithms in hydrological modelling'. Together they form a unique fingerprint.

    Cite this