Case Study: Zutphen

Title

Case Study: Zutphen: Estimates of levee system reliability

 Author

Roscoe, K. (TU Delft Hydraulic Structures and Flood Risk)

Contributor

Kothuis, Baukje (editor)
Kok, Matthijs (editor)

Date

2017

 Abstract

Estimates of levee system reliability can conflict with experience and intuition. For example, a very high failure probability may be computed while no evidence of failure has been observed, or a very low failure probability when signs of failure have been detected. This conflict results in skepticism about the computed failure probabilities and an (understandable) unwillingness to make important management decisions based upon them. Bayesian networks (BNs) are useful in these circumstances because they allow us to use observations to improve our reliability estimates quantitatively.

 To reference this document use:

http://resolver.tudelft.nl/uuid:9ea9d56b-a21f-4fc3-af00-c320c3fb8c0e

 Publisher

Delft University Publishers

 ISBN

978-94-6186-808-4

 Source

Integral Design of Multifunctional Flood Defenses: Multidisciplinary Approaches and Examples

 Part of collection

Institutional Repository

 Document type

book chapter

 Rights

© 2017 K. Roscoe