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RECORD NUMBER: 150 OF 385

OLS Field Name OLS Field Data
Main Title Methodology of Bayesian Inference and Decision Making Applied to Extreme Hydrologic Events.
Author Wood, Eric F. ; Rodriguez-Iturbe, Ignacio ; Schaake, Jr., John C. ;
CORP Author Massachusetts Inst. of Tech., Cambridge. Ralph M. Parsons Lab. for Water Resources and Hydrodynamics.
Year Published 1974
Report Number 178 ;R74-8; DI-14-31-0001-9021; MIT-DSR-80628 ;OWRR-C-4118(9021); W74-07601 ; OWRR-C-4118(9021)(2)
Stock Number PB-232 009
Additional Subjects Flood forecasting ; Decision making ; Hydrology ; Statistical inference ; Mathematical models ; Surface water runoff ; Rainfall intensity ; Risk ; Protection ; Regression analysis ; Cost analysis ; Rhode Island ; Bayesian analysis
Holdings
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Status
NTIS  PB-232 009 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 299p
Abstract
The study presents the methodology of Bayesian inference and decision making applied to extreme hydrologic events. Inference procedures must consider both the natural or 'modelled' uncertainty of the hydrologic process and the statistical uncertainty due to a lack of information. Two types of statistical uncertainty were considered. The first type is the uncertainty in modelling the hydrologic process, and the second type is the uncertainty in the values of the model parameters. The uncertainty is reduced by considering prior sources of information (regional regression, theoretical flood frequency analysis or subjective assessment) and historical flood data. A case study of determining the optimal size of local flood protection for Woonsocket, considered, using realistic flood damage and cost functions. (Author)