Spatial pattern oriented multicriteria sensitivity analysis of a distributed hydrologic model

Mehmet Cüneyd Demirel*, Julian Koch, Gorka Mendiguren Gonzalez, Simon Stisen

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Hydrologic models are conventionally constrained and evaluated using point measurements of streamflow, which represent an aggregated catchment measure. As a consequence of this single objective focus, model parametrization and model parameter sensitivity typically do not reflect other aspects of catchment behavior. Specifically for distributed models, the spatial pattern aspect is often overlooked. Our paper examines the utility of multiple performance measures in a spatial sensitivity analysis framework to determine the key parameters governing the spatial variability of predicted actual evapotranspiration (AET). The Latin hypercube one-at-a-time (LHS-OAT) sampling strategy with multiple initial parameter sets was applied using the mesoscale hydrologic model (mHM) and a total of 17 model parameters were identified as sensitive. The results indicate different parameter sensitivities for different performance measures focusing on temporal hydrograph dynamics and spatial variability of actual evapotranspiration. While spatial patterns were found to be sensitive to vegetation parameters, streamflow dynamics were sensitive to pedo-transfer function (PTF) parameters. Above all, our results show that behavioral model definitions based only on streamflow metrics in the generalized likelihood uncertainty estimation (GLUE) type methods require reformulation by incorporating spatial patterns into the definition of threshold values to reveal robust hydrologic behavior in the analysis.
    Original languageEnglish
    Article number1188
    JournalWater
    Volume10
    Issue number9
    Number of pages20
    ISSN2073-4441
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Waterways
    • Flood Control
    • Applied Mathematics
    • Probability Theory
    • Mechanical Variables Measurements
    • Actual evapotranspiration
    • GLUE
    • MHM
    • Remote sensing
    • Sensitivity analysis
    • Spatial pattern
    • Catchments
    • Evapotranspiration
    • Glues
    • Gluing
    • Runoff
    • Spatial distribution
    • Stream flow
    • Uncertainty analysis
    • Distributed hydrologic model
    • Generalized likelihood uncertainty estimation
    • Model parametrization
    • Multiple performance measures
    • Parameter sensitivities
    • Pedo-transfer functions
    • Spatial patterns
    • Spatial variables measurement

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