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Economic optimization of coastal flood defense systems

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  • Dupuits, E.J.C.
  • Schweckendiek, T.
  • Kok, M.

Abstract

Coastal flood defense systems can consist of multiple lines of defense. In case of a system with a front and a rear defense (e.g. a storm surge barrier and levees), the front defense can improve the reliability of the rear defense by reducing the load on this rear defense. This paper develops a framework in order to assess whether including the influence of such a load reduction influences the economically optimal safety targets of both defenses. The economic optimization is carried out using two approaches: a simplified method developed to explore the behavior of the economic optimization with a front and rear defense, and a numerical framework geared towards practical applications. The numerical framework provides more flexibility in defining risk, cost and damage functions, and emphasizes on the applicability and tractability of the necessary steps from an engineering perspective. Both approaches are used in a hypothetical case study in order to quantify the effect of including a load reduction on the economically optimal safety targets. The results indicate that if a front defense can create a significant risk reduction in a cost efficient manner, more efficient economically optimal safety targets can be found by including the load reduction.

Suggested Citation

  • Dupuits, E.J.C. & Schweckendiek, T. & Kok, M., 2017. "Economic optimization of coastal flood defense systems," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 143-152.
    • Handle: RePEc:eee:reensy:v:159:y:2017:i:c:p:143-152
    DOI: 10.1016/j.ress.2016.10.027
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    References listed on IDEAS

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    1. Peter Zwaneveld & Gerard Verweij, 2014. "Safe Dike Heights at Minimal Costs: An Integer Programming Approach," CPB Discussion Paper 277, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Ruud Brekelmans & Dick den Hertog & Kees Roos & Carel Eijgenraam, 2012. "Safe Dike Heights at Minimal Costs: The Nonhomogeneous Case," Operations Research, INFORMS, vol. 60(6), pages 1342-1355, December.
    3. Lendering, K.T. & Jonkman, S.N. & van Gelder, P.H.A.J.M. & Peters, D.J., 2015. "Risk-based optimization of land reclamation," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 193-203.
    4. Carel Eijgenraam, 2006. "Optimal safety standards for dike-ring areas," CPB Discussion Paper 62, CPB Netherlands Bureau for Economic Policy Analysis.
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    Cited by:

    1. Guo, Xiaoxue & Ding, Long & Ji, Jie & Cozzani, Valerio, 2022. "A cost-effective optimization model of safety investment allocation for risk reduction of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Rongen, G. & Morales-Nápoles, O. & Kok, M., 2022. "Expert judgment-based reliability analysis of the Dutch flood defense system," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    3. Chen, Hua-Peng & Mehrabani, Mehrdad Bahari, 2019. "Reliability analysis and optimum maintenance of coastal flood defences using probabilistic deterioration modelling," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 163-174.
    4. Peter Zwaneveld & Gerard Verweij, 2018. "Economic Decision Problems in Multi-Level Flood Prevention: a new graph-based approach used for real world applications," CPB Discussion Paper 380.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Klerk, Wouter Jan & Kanning, Wim & Kok, Matthijs & Wolfert, Rogier, 2021. "Optimal planning of flood defence system reinforcements using a greedy search algorithm," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    6. Martine Van den Boomen & Sjoerd Van der Meulen & Jonathan Van Ekris & Roel Spanjers & Olle Ten Voorde & Janwim Mulder & Peter Blommaart, 2021. "Optimized Expansion Strategy for a Hydrogen Pipe Network in the Port of Rotterdam with Compound Real Options Analysis," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    7. Peter Zwaneveld & Gerard Verweij, 2018. "Economic Decision Problems in Multi-Level Flood Prevention: a new graph-based approach used for real world applications," CPB Discussion Paper 380, CPB Netherlands Bureau for Economic Policy Analysis.

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