Abstract

Flood risk management decisions in many countries are based on decision‐support frameworks which rely on cost‐benefit analyses. Such frameworks are seldom informative about the geographical distribution of risk, raising questions on the fairness of the proposed policies. In the present work, we propose a new decision criterion that accounts for the distribution of risk reduction and apply it to support flood risk management decisions on a transboundary stretch of the Rhine River. Three types of interventions are considered: embankment heightening, making Room for the River, and changing the discharge distribution of the river branches. The analysis involves solving a flood risk management problem according to four alternative formulations, based on different ethical principles. Formulations based on cost optimization lead to very poor performances in some areas for the sake of reducing the overall aggregated costs. Formulations that also include equity criteria have different results depending on how these are defined. When risk reduction is distributed equally, very poor economic performance is achieved. When risk is distributed equally, results are in line with formulations based on cost optimization, while a fairer risk distribution is achieved. Risk reduction measures also differ, with the cost optimization approach strongly favoring the leverage of changing the discharge distribution and the alternative formulations spending more on embankment heightening and Room for the River, to rebalance inequalities in risk levels. The proposed method advances risk‐based decision‐making by allowing to consider risk distribution aspects and their impacts on the choice of risk reduction measures.

Highlights

  • In 2002, the Elbe River, in Germany, was hit by a severe flood

  • The present study proposes a new decision criterion that accounts for the geographical distribution of risk and uses Many-Objective Evolutionary Algorithms (MOEAs) to optimize both total costs and equity in risk distribution

  • We introduce ethical theories dealing with the problem of fairly allocating risk and, we introduce the new decision criterion to account for risk distribution and its inclusion in an optimization framework

Read more

Summary

Introduction

In 2002, the Elbe River, in Germany, was hit by a severe flood. The federal states of Saxony (up-stream) and Saxony-Anhalt (downstream) incurred about 8.70 and 1.75 million euros of losses, respectively. In 2002, the Elbe River, in Germany, was hit by a severe flood. Stream) and Saxony-Anhalt (downstream) incurred about 8.70 and 1.75 million euros of losses, respectively. A decade later, in June 2013, the Elbe River was hit again by one of the most severe floods in decades (Schroter, Kunz, Elmer, Muhr, & Merz, 2015), which this time the newly reinforced embankments of Saxony could withstand. Losses amounted to about 1.19 million euros for Saxony and 1.92 million euros for Saxony-Anhalt (higher than those previously experienced) part of which is likely to be attributed to the increased protection level. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis

Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.