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Towards multi-objective optimization of large-scale fluvial landscaping measures

机译:走向大型河道美化措施的多目标优化

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Adapting densely populated deltas to the combined impacts ofclimate change and socioeconomic developments presents a major challenge fortheir sustainable development in the 21st century. Decisions for theadaptations require an overview of cost and benefits and the number ofstakeholders involved, which can be used in stakeholder discussions.Therefore, we quantified the trade-offs of common measures to compensate for an increase in discharge and sea level rise on the basis of relevant, butinexhaustive, quantitative variables. We modeled the largest deltadistributary of the Rhine River with adaptation scenarios driven by (1)?thechoice of seven measures, (2)?the areas owned by the two largeststakeholders (LS) versus all stakeholders (AS) based on a priori stakeholderpreferences, and (3)?the ecological or hydraulic design principle. Weevaluated measures by their efficiency in flood hazard reduction, potentialbiodiversity, number of stakeholders as a proxy for governance complexity,and measure implementation cost. We found that only floodplain lowering overthe whole study area can offset the altered hydrodynamic boundaryconditions; for all other measures, additional dike raising is required. LSareas comprise low hanging fruits for water level lowering due to thegovernance simplicity and hydraulic efficiency. Natural management ofmeadows (AS), after roughness smoothing and floodplain lowering, representsthe optimum combination between potential biodiversity and flood hazardlowering, as it combines a high potential biodiversity with a relatively lowhydrodynamic roughness. With this concept, we step up to amultidisciplinary, quantitative multi-parametric, and multi-objectiveoptimization and support the negotiations among stakeholders in thedecision-making process.
机译:使人口稠密的三角洲适应气候变化和社会经济发展的综合影响,为其21世纪的可持续发展提出了重大挑战。适应决策需要对成本和收益以及所涉及的利益相关者的数量进行概述,可以在利益相关者的讨论中使用。因此,我们在补偿排放量和海平面上升的基础上,量化了通常措施的权衡取舍。相关的,穷举的,定量的变量。我们以适应场景为模型,对莱茵河最大的三角洲分布进行了建模,该场景受以下因素影响:(1)-选择七项措施;(2)-根据先验利益相关者的偏好,两个最大利益相关者(LS)与所有利益相关者(AS)拥有的区域(3)生态或水力设计原理。我们通过减少洪水灾害的效率,潜在的生物多样性,代表治理复杂性的利益相关方数量以及措施的实施成本对措施进行了评估。我们发现只有整个研究区的洪泛区下降才能抵消改变后的水动力边界条件。对于所有其他措施,需要额外增加堤防。 LSareas包括低垂度的果实,以简化管理和提高水力效率,从而降低水位。在粗糙度平整和洪泛区降低之后,草甸的自然管理(AS)代表了潜在生物多样性和洪灾风险降低之间的最佳组合,因为它将潜在的生物多样性与相对较低的水动力粗糙度相结合。有了这个概念,我们就可以进行多学科,定量多参数和多目标的优化,并在决策过程中支持利益相关者之间的谈判。

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