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| Titel |
Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models |
| VerfasserIn |
A. P. Jacquin, A. Y. Shamseldin |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 1 ; Nr. 13, no. 1 (2009-01-23), S.41-55 |
| Datensatznummer |
250011725
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| Publikation (Nr.) |
 copernicus.org/hess-13-41-2009.pdf |
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| Zusammenfassung |
| This paper is concerned with the sensitivity analysis of the model
parameters of the Takagi-Sugeno-Kang fuzzy rainfall-runoff models previously
developed by the authors. These models are classified in two types of fuzzy
models, where the first type is intended to account for the effect of
changes in catchment wetness and the second type incorporates seasonality as
a source of non-linearity. The sensitivity analysis is performed using two
global sensitivity analysis methods, namely Regional Sensitivity Analysis
and Sobol's variance decomposition. The data of six catchments from
different geographical locations and sizes are used in the sensitivity
analysis. The sensitivity of the model parameters is analysed in terms of
several measures of goodness of fit, assessing the model performance from
different points of view. These measures include the Nash-Sutcliffe
criteria, volumetric errors and peak errors. The results show that the
sensitivity of the model parameters depends on both the catchment type and
the measure used to assess the model performance. |
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