Analyzing hydrologic uncertainty and its impact upon decision making in water resources

Eric F. Wood

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

Bayesian Inference and Decision Theory tools are applied to the problem of synthetic hydrology when model and parameter uncertainty exist. Issues such as optimal parameter estimation, use of synthetic generation in design problems, and the effects of parameter uncertainty on statistical estimation are discussed and applied to the problem of reservoir slorage-yield analysis.

Original languageEnglish (US)
Pages (from-to)299-305
Number of pages7
JournalAdvances in Water Resources
Volume1
Issue number5
DOIs
StatePublished - Jan 1 1978

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

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