Adaptive parameter estimation for multisite streamflow forecasting

Haitham M. Awwad, Juan B Valdes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An adaptive procedure for parameter identification and noise statistics estimation for multisite streamflow forecasting is presented in this work. The model is a multivariate ARMAX model, formulated in a state-space form, with the Kalman filter used to obtain the optimal forecasts and updates of the states. Model parameters, as well as noise statistics, are updated on-line in an adaptive manner along with the states.

Original languageEnglish (US)
Title of host publicationWater Resources Planning and Management and Urban Water Resources
EditorsJerry L. Anderson
PublisherPubl by ASCE
Pages32-36
Number of pages5
ISBN (Print)0872628051
Publication statusPublished - 1991
Externally publishedYes
EventProceedings of the 18th Annual Conference and Symposium - New Orleans, LA, USA
Duration: May 20 1991May 22 1991

Other

OtherProceedings of the 18th Annual Conference and Symposium
CityNew Orleans, LA, USA
Period5/20/915/22/91

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Awwad, H. M., & Valdes, J. B. (1991). Adaptive parameter estimation for multisite streamflow forecasting. In J. L. Anderson (Ed.), Water Resources Planning and Management and Urban Water Resources (pp. 32-36). Publ by ASCE.