One of the major problems facing flood frequency analysis is that predictions typically require extrapolation beyond observed flood experience. Such extrapolations are very much affected by model and parameter uncertainty. This review reflects on the contributions that Bayesian theory has made, and can possibly make, in managing this uncertainty. Some of the issues examined from a Bayesian perspective include the choice of a flood distribution, the exploitation of gauged and historic site information possibly affected by measurement error, development of regional models and the pooling of site and regional information.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
- The Bayesian Framework for Inference in Flood Frequency Analysis
- Springer Netherlands