A fuzzy rule based metamodel for monthly catchment nitrate fate simulations

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Authors

  • S. van der Heijden
  • U. Haberlandt
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Details

Original languageEnglish
Pages (from-to)863-876
Number of pages14
JournalJournal of hydrology
Volume531
Early online date23 Oct 2015
Publication statusPublished - Dec 2015

Abstract

The high complexity of nitrate dynamics and corresponding deterministic models make it very appealing to employ easy, fast, and parsimonious modelling alternatives for decision support. This study presents a fuzzy rule based metamodel consisting of eight fuzzy modules, which is able to simulate nitrate fluxes in large watersheds from their diffuse sources via surface runoff, interflow, and base flow to the catchment outlet. The fuzzy rules are trained on a database established with a calibrated SWAT model for an investigation area of 1000km2. The metamodel performs well on this training area and on two out of three validation areas in different landscapes, with a Nash-Sutcliffe coefficient of around 0.5-0.7 for the monthly nitrate calculations. The fuzzy model proves to be fast, requires only few readily available input data, and the rule based model structure facilitates a common-sense interpretation of the model, which deems the presented approach suitable for the development of decision support tools.

Keywords

    Catchment scale, Fuzzy rules, Metamodel, Nitrate, SWAT

ASJC Scopus subject areas

Cite this

A fuzzy rule based metamodel for monthly catchment nitrate fate simulations. / van der Heijden, S.; Haberlandt, U.
In: Journal of hydrology, Vol. 531, 12.2015, p. 863-876.

Research output: Contribution to journalArticleResearchpeer review

van der Heijden S, Haberlandt U. A fuzzy rule based metamodel for monthly catchment nitrate fate simulations. Journal of hydrology. 2015 Dec;531:863-876. Epub 2015 Oct 23. doi: 10.1016/j.jhydrol.2015.10.039
van der Heijden, S. ; Haberlandt, U. / A fuzzy rule based metamodel for monthly catchment nitrate fate simulations. In: Journal of hydrology. 2015 ; Vol. 531. pp. 863-876.
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