Application of gray and fuzzy methods for rainfall forecasting

P. S. Yu, C. J. Chen, S. J. Chen

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

Abstract

The forecasting of future rainfall is one way to extend the lead time of flood forecasting. This study proposes a rainfall forecast model based on a gray model, in which model parameters are estimated by using a fuzzy goal regression method. A one-time step forecasting technique is introduced to improve forecasting. This improvement allows for forecasting further ahead of the event in question. Ten historical storm events are considered to calibrate and verify the proposed model. Simulation results indicate that the proposed model exhibits reasonable rainfall mass curves and allows for rainfall hyetograph forecasting 1-3 h in advance.

Original languageEnglish
Pages (from-to)339-345
Number of pages7
JournalJournal of Hydrologic Engineering
Volume5
Issue number4
DOIs
Publication statusPublished - 2000 Oct 1

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Civil and Structural Engineering
  • Water Science and Technology
  • Environmental Science(all)

Fingerprint Dive into the research topics of 'Application of gray and fuzzy methods for rainfall forecasting'. Together they form a unique fingerprint.

Cite this