Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives

Fan Sun, Ya Liu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The practical experience with sensitivity analysis suggests that no single-objective function is adequate to measure the ways in which the model fails to match the important characteristics of the observed data. In order to successfully measure parameter sensitivity of a numerical model, multiple criteria should be considered. Sensitivity analysis of a rainfall-runoff model is performed using the local sensitivity method (Morris method) and multiple objective analysis. Formulation of SA strategy for the MIKE/NAM rainfall-runoff model is outline. The SA is given as a set of Pareto ranks from a multi-objective viewpoint. The Nondominated Sorting Differential Evolution (NSDE) was used to calibrate the rainfall-runoff model. The method has been applied for calibration of a test catchment and compared on validation data. The simulations show that the NSDE method possesses the ability to finding the optimal Pareto front. © 2010 Springer-Verlag.

    Original languageEnglish
    Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
    Pages90-99
    Number of pages10
    Volume6276 LNAI
    EditionPART 1
    DOIs
    Publication statusPublished - 2010
    Event14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - Cardiff, United Kingdom
    Duration: 8 Sep 201010 Sep 2010

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume6276 LNAI
    ISSN (Print)0302-9743

    Conference

    Conference14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
    Abbreviated titleKES 2010
    CountryUnited Kingdom
    CityCardiff
    Period8/09/1010/09/10

    Fingerprint

    sensitivity analysis
    runoff
    calibration
    rainfall
    sorting
    catchment
    method
    simulation

    Keywords

    • Calibration and Validation
    • Multi-objective Optimisation
    • Optimisation
    • Sensitivity Analysis

    Cite this

    Sun, F., & Liu, Y. (2010). Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives. In Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings (PART 1 ed., Vol. 6276 LNAI, pp. 90-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6276 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-15387-7_13
    Sun, Fan ; Liu, Ya. / Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives. Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. Vol. 6276 LNAI PART 1. ed. 2010. pp. 90-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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    title = "Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives",
    abstract = "The practical experience with sensitivity analysis suggests that no single-objective function is adequate to measure the ways in which the model fails to match the important characteristics of the observed data. In order to successfully measure parameter sensitivity of a numerical model, multiple criteria should be considered. Sensitivity analysis of a rainfall-runoff model is performed using the local sensitivity method (Morris method) and multiple objective analysis. Formulation of SA strategy for the MIKE/NAM rainfall-runoff model is outline. The SA is given as a set of Pareto ranks from a multi-objective viewpoint. The Nondominated Sorting Differential Evolution (NSDE) was used to calibrate the rainfall-runoff model. The method has been applied for calibration of a test catchment and compared on validation data. The simulations show that the NSDE method possesses the ability to finding the optimal Pareto front. {\circledC} 2010 Springer-Verlag.",
    keywords = "Calibration and Validation, Multi-objective Optimisation, Optimisation, Sensitivity Analysis",
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    Sun, F & Liu, Y 2010, Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives. in Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. PART 1 edn, vol. 6276 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6276 LNAI, pp. 90-99, 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Cardiff, United Kingdom, 8/09/10. https://doi.org/10.1007/978-3-642-15387-7_13

    Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives. / Sun, Fan; Liu, Ya.

    Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. Vol. 6276 LNAI PART 1. ed. 2010. p. 90-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6276 LNAI, No. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AB - The practical experience with sensitivity analysis suggests that no single-objective function is adequate to measure the ways in which the model fails to match the important characteristics of the observed data. In order to successfully measure parameter sensitivity of a numerical model, multiple criteria should be considered. Sensitivity analysis of a rainfall-runoff model is performed using the local sensitivity method (Morris method) and multiple objective analysis. Formulation of SA strategy for the MIKE/NAM rainfall-runoff model is outline. The SA is given as a set of Pareto ranks from a multi-objective viewpoint. The Nondominated Sorting Differential Evolution (NSDE) was used to calibrate the rainfall-runoff model. The method has been applied for calibration of a test catchment and compared on validation data. The simulations show that the NSDE method possesses the ability to finding the optimal Pareto front. © 2010 Springer-Verlag.

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    KW - Sensitivity Analysis

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    SN - 3642153860

    SN - 9783642153860

    VL - 6276 LNAI

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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    Sun F, Liu Y. Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives. In Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. PART 1 ed. Vol. 6276 LNAI. 2010. p. 90-99. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-15387-7_13