Skip to main navigation Skip to search Skip to main content

Fuzzy awakening in rainfall-runoff modeling

  • Istanbul Technical University

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)31-43
Number of pages13
JournalNordic Hydrology
Volume35
Issue number1
DOIs
Publication statusPublished - 2004

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Drainage
  • Fuzzy logic
  • Hydrology
  • Prediction
  • Rainfall-runoff
  • Regression analysis

Fingerprint

Dive into the research topics of 'Fuzzy awakening in rainfall-runoff modeling'. Together they form a unique fingerprint.

Cite this