Recent literature in sociohydrology has shown the important role of flood memory in shaping hydrological risk. In this paper, we present a system dynamics model of human–flood interactions that simulates how the river proximity of human settlements is altered by changes in flood memory. We also compare our model outcomes with an unprecedented dataset consisting of historical and archeological observations of human settlements in the Czech Republic that have been affected by major flood events. This comparison allows us to evaluate the potentials and limitations of our sociohydrological model in capturing essential features of flood risk changes, including the process of resettling farther and closer to the river. Our results show that the accumulation (and decay) of collective memory has potential in explaining temporal changes of flood risk driven by the occurrence (or absence) of major events. As such, this study contributes to advancing knowledge about the complex dynamics of human–water systems, while providing useful insights in the field of flood risk reduction.

社会水文学方面的最新文献表明，洪水记忆在塑造水文风险中具有重要作用。在本文中，我们提出了人与水之间相互作用的系统动力学模型，该模型模拟了洪水记忆的变化如何改变人类住区的河流距离。我们还将模型结果与前所未有的数据集进行比较，该数据集由受重大洪水事件影响的捷克共和国人类住区的历史和考古观察组成。这种比较使我们能够评估社会水文模型在捕捉洪水风险变化的基本特征（包括重新安置到更靠近河流的过程）中的潜力和局限性。我们的研究结果表明，集体记忆的积累（和衰减）在解释由重大事件的发生（或不发生）驱动的洪水风险的时间变化方面具有潜力。因此，这项研究有助于增进人们对水系统复杂动态的认识，同时在减少洪水风险方面提供有用的见识。