Spatial pattern oriented multicriteria sensitivity analysis of a distributed hydrologic model

Mehmet Cuneyd Demirel, Julian Koch, Gorka Mendiguren, Simon Stisen

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

9 Citationer (Scopus)

Abstrakt

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.

OriginalsprogEngelsk
Artikelnummer1188
Antal sider20
TidsskriftWater (Switzerland)
Vol/bind10
Udgave nummer9
DOI
StatusUdgivet - 4 sep. 2018

Programområde

  • Programområde 2: Vandressourcer

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