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Regional economic analysis of flood defence heights at the German Baltic Sea coast: A multi-method cost-benefit approach for flood prevention

机译:德国波罗的海沿岸防洪高地的区域经济分析:一种多种方法对防洪洪水成本效益方法

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Mean and extreme sea-level uncertainties, as well as uncertainty about future flood exposure, hinder the risk-based optimisation of flood protection investments. To deal with these uncertainties, cost-benefit analysis (CBA) and methods for robust decision-making can be combined. This paper sequentially applies CBA, robust optimisation methods and info-gap analysis to find efficient and robust coastal flood protection strategies for the German Baltic Sea coast. The CBA results suggest that – under flood risk assumptions – a share of the coast of Schleswig-Holstein (9.3–10.1%; 60–65?km) and Mecklenburg-Vorpommern (4.1–10.0%; 78–189?km) with relatively high flood exposure, might currently be under-protected from a social welfare perspective. Present Value estimates of regional investment costs of five regret or loss minimising strategies range from 1.7 to 4.8 billion Euro across robustness metrics at 3% discounting. The info-gap analysis suggests that some of these strategies will fail to prevent large-scale damages under high-end scenarios. We conclude that a multi-method cost-benefit approach can be used to narrow down the number of solutions that are both potentially efficient and sufficiently robust by investigating strategy performance within, across and beyond predefined scenarios.
机译:平均和极端的海平的不确定性,以及未来洪水暴露的不确定性,阻碍了防洪投资的风险优化。要处理这些不确定性,可以组合成本效益分析(CBA)和强大决策方法。本文顺序地应用CBA,强大的优化方法和信息差距分析,以寻找德国波罗的海海岸的高效和强大的沿海防洪策略。 CBA结果表明 - 在洪水风险假设下 - Schleswig-Holstein海岸的份额(9.3-10.1%; 60-65 km)和梅克伦堡 - 沃尔波姆(4.1-10.0%; 78-189 km)相对高洪水曝光,可能目前免受社会福利视角不受保护。目前估计的五次遗憾或损失最小化战略的估计值在3%折扣的稳健性指数上最小化策略范围从1.7〜48亿欧元。信息差距分析表明,其中一些策略将在高端情景下防止大规模损害。我们得出结论,通过调查预定方案内外的战略性能,可以使用多种方法的成本效益方法来缩小潜在高效且充分稳健的解决方案数量。

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