The limits of data: application of a lumped catchment model to a small humid tropical basin

Chris Barnes, Mike Bonell

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Abstract

    In the humid tropics, the available data is usually at best rainfall–runoff (of variable quality) and with little or no supporting process hydrology knowledge. A simple modelling approach is offered to extract the maximum information (within the limits set by the data) using data from a tropical forest basin. The model outputs are compared with previous process hydrology knowledge. Results show that the intelligent combination of simple models with even low quality data can lead to qualitatively new hydrological insights.
    Original languageEnglish
    Title of host publicationRevisiting Experimental Catchment Studies in Forest Hydrology
    Subtitle of host publication(Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011
    EditorsAshley A. Webb, Mike Bonell, Leon Bren, Patrick N.J. Lane, Don McGuire, Daniel G. Neary, Jami Nettles, David F. Scott, John Stednick, Yanhui Wang
    Place of PublicationWallingford
    PublisherInternational Association of Hydrological Sciences (IAHS)
    Pages94-105
    Number of pages12
    ISBN (Print)9781907161315
    Publication statusPublished - 2012

    Publication series

    NameIAHS Publication
    Number353

    Keywords

    • adaptive modelling
    • runoff process hydrology
    • tropical rainforest basin
    • northeast Queensland
    • Australia

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