Fuzzy awakening in rainfall-runoff modeling | Zendy

Zekâi̇ Şen | Zendy; Abdüsselam Altunkaynak | Zendy

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Fuzzy awakening in rainfall-runoff modeling

Author(s) -

Zekâi̇ Şen,

Abdüsselam Altunkaynak

Publication year - 2004

Publication title -

hydrology research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.665

H-Index - 48

eISSN - 1996-9694

pISSN - 0029-1277

DOI - 10.2166/nh.2004.0003

Subject(s) - surface runoff , fuzzy logic , regression analysis , regression , runoff curve number , environmental science , hydrology (agriculture) , runoff model , statistics , computer science , mathematics , geology , ecology , geotechnical engineering , artificial intelligence , biology

Rainfall-runoff relationships are widely used in many engineering hydrologic designs in urban and rural areas. Such relationships are obtained through the application of regression analysis in many studies. Unfortunately, in the classical regression approach to determine rainfall-runoff relationships, internal uncertainties are not taken explicitly into consideration. In this paper, an alternative to the classical regression approach is proposed through fuzzy system modeling. It is concluded that the fuzzy systems approach yields comparatively less relative error than a regression approach and, therefore, it is recommended for use in future. The application is presented for rainfall-runoff records at two sites near Istanbul, Turkey.

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