Economically optimal safety targets for interdependent flood defences in a graph-based approach with an efficient evaluation of expected annual damage estimates

Journal Article (2017)
Author(s)

E. J.C. Dupuits (TU Delft - Hydraulic Structures and Flood Risk)

F Diermanse (Deltares)

Matthijs Kok (TU Delft - Hydraulic Structures and Flood Risk)

Research Group
Hydraulic Structures and Flood Risk
Copyright
© 2017 E.J.C. Dupuits, Ferdinand Lennaert Machiel Diermanse, M. Kok
DOI related publication
https://doi.org/10.5194/nhess-17-1893-2017
More Info
expand_more
Publication Year
2017
Language
English
Copyright
© 2017 E.J.C. Dupuits, Ferdinand Lennaert Machiel Diermanse, M. Kok
Research Group
Hydraulic Structures and Flood Risk
Issue number
11
Volume number
17
Pages (from-to)
1893-1906
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Flood defence systems can be seen as multiple interdependent flood defences. This paper advances an approach for finding an optimal configuration for flood defence systems based on an economic cost-benefit analysis with an arbitrary number of interdependent flood defences. The proposed approach is based on a graph algorithm and is, thanks to some beneficial properties of the application, able to represent large graphs with strongly reduced memory requirements. Furthermore, computational efficiency is achieved by delaying cost calculations until they are actually needed by the graph algorithm. This significantly reduces the required number of computationally expensive flood risk calculations. In this paper, we conduct a number of case studies to compare the optimal paths found by the proposed approach with the results of competing methods that generate identical results. The proposed approach is set up in a generic way and implements the shortest-path approach for optimising cost-benefit analyses of interdependent flood defences with computationally expensive flood risk calculations.