Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions

Richard E. Brazier (Lead / Corresponding author), Keith J. Beven, Steven G. Anthony, John S. Rowan

    Research output: Contribution to journalArticlepeer-review

    41 Citations (Scopus)


    An integrated modelling approach (MIRSED) which utilizes the process-based soil erosion model WEPP (Water Erosion Prediction Project) is presented for the assessment of hillslope-scale soil erosion at five sites throughout England and Wales. The methodology draws upon previous uncertainty analysis of the WEPP hillslope soil erosion model by the authors to qualify model results within an uncertainty framework. A method for incorporating model uncertainty from a range of sources is discussed as a first step towards using and learning from results produced through the GLUE (Generalized Likelihood Uncertainty Estimation) technique. Results are presented and compared to available observed data, which illustrate that levels of uncertainty are significant and must be taken into account if a meaningful understanding of output from models such as WEPP is to be achieved. Furthermore, the collection of quality, observed data is underlined for two reasons: As an essential tool in the development of soil erosion modelling and also to allow further constraint of model uncertainty.

    Original languageEnglish
    Pages (from-to)1333-1352
    Number of pages20
    JournalEarth Surface Processes and Landforms
    Issue number12
    Early online date31 Oct 2001
    Publication statusPublished - Nov 2001


    • Erosion modelling
    • GLUE
    • Soil Erosion
    • Uncertainty estimation
    • WEPP

    ASJC Scopus subject areas

    • Geography, Planning and Development
    • Earth-Surface Processes
    • Earth and Planetary Sciences (miscellaneous)


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