Application of the stochastic self-training procedure for the modelling of extreme floods

Vadim Kuzmin*, Pieter Van Gelder, Hafzullah Aksoy, Ismail Kucuk

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Modelling techniques valid for ordinary hydrological conditions are often inadequate for catastrophic runoff conditions, as the majority of the parameters included in the modelling schemes are not necessarily applicable to flood conditions. To overcome this problem, using a stochastic self-training procedure (SSTP) is proposed. The procedure is based on the real water balance equation and the statistical model of the water balance. An application of the procedure with data from the Filyos River (Turkey) is presented in this study.

Original languageEnglish
Pages (from-to)317-322
Number of pages6
JournalIAHS-AISH Proceedings and Reports
Issue number271
Publication statusPublished - 2002
Externally publishedYes

Keywords

  • Extreme floods
  • Filyos River basin
  • Kinematic wave forecasting
  • River flow forecasting
  • Stochastic models
  • Stochastic self-training procedure
  • Turkey

Fingerprint

Dive into the research topics of 'Application of the stochastic self-training procedure for the modelling of extreme floods'. Together they form a unique fingerprint.

Cite this