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 |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB-232 009 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
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) |