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Flood risk (d)evolution: Disentangling key drivers of flood risk change with a retro-model experiment

机译:洪水风险(d)演变:通过追溯模型实验来分析洪水风险变化的主要驱动因素

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Flood risks are dynamically changing over time. Over decades and centuries, the main drivers for flood risk change are influenced either by perturbations or slow alterations in the natural environment or, more importantly, by socio-economic development and human interventions. However, changes in the natural and human environment are intertwined. Thus, the analysis of the main drivers for flood risk changes requires a disentangling of the individual risk components. Here, we present a method for isolating the individual effects of selected drivers of change and selected flood risk management options based on a model experiment. In contrast to purely synthetic model experiments, we built our analyses upon a retro-model consisting of several spatio-temporal stages of river morphology and settlement structure. The main advantage of this approach is that the overall long-term dynamics are known and do not have to be assumed. We used this model setup to analyse the temporal evolution of the flood risk, for an ex-post evaluation of the key drivers of change, and for analysing possible alternative pathways for flood risk evolution under different governance settings. We showed that in the study region the construction of lateral levees and the consecutive river incision are the main drivers for decreasing flood risks over the last century. A rebound effect in flood risk can be observed following an increase in settlements since the 1960s. This effect is not as relevant as the river engineering measures, but it will become increasingly relevant in the future with continued socio-economic growth. The presented approach could provide a methodological framework for studying pathways for future flood risk evolvement and for the formulation of narratives for adapting governmental flood risk strategies to the spatio-temporal dynamics in the built environment.
机译:洪水风险会随着时间动态变化。几十年来,洪水风险变化的主要驱动力受到自然环境的扰动或缓慢变化的影响,更重要的是受到社会经济发展和人类干预的影响。但是,自然和人类环境的变化是交织在一起的。因此,对洪水风险变化的主要驱动因素进行分析需要对各个风险成分进行分解。在这里,我们提出了一种基于模型实验来隔离所选变化驱动因素和所选洪水风险管理选项的个体影响的方法。与纯合成模型实验相反,我们将分析建立在一个由河流形态和沉降结构的几个时空阶段组成的逆模型上。这种方法的主要优点是,整体的长期动态是已知的,不必假定。我们使用此模型设置来分析洪水风险的时间演变,事后评估变化的主要驱动力,以及分析在不同治理环境下洪水风险演变的可能替代途径。我们表明,在研究区域中,上个世纪堤防建设和横向河堤是减少洪水风险的主要驱动力。自1960年代以来,随着定居点的增加,洪水风险出现反弹效应。这种影响并不像河流工程措施那样重要,但是随着社会经济的持续增长,这种影响将在未来变得越来越重要。所提出的方法可以为研究未来洪水风险演变的途径以及为使政府洪水风险策略适应建筑环境的时空动态而制定叙述提供一种方法框架。

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