Valero Daniel, Bayón Arnau, Franca Mário J
Department of Civil and Environmental Engineering, Imperial College London, United Kingdom.
Department of Hydraulic and Environmental Engineering, Universitat Politècnica de València, Spain.
Sci Total Environ. 2024 Jun 1;927:171568. doi: 10.1016/j.scitotenv.2024.171568. Epub 2024 Mar 16.
Despite their catastrophic implications in flood events, the mobilization and transport of large, loose objects -termed Urban Flood Drifters (UFDs)- are often overlooked in flood management. These objects are inherent to anthropogenic activities, but are not designed to remain stable under flooding conditions, nor are usually considered in flood risk studies. This oversight stems from our limited understanding of how flowing water interacts with these heterogeneous objects. To bridge this knowledge gap, we introduce a mechanistic stability model that predicts the onset of UFD mobilization across a diverse array of loose objects, from plastics to heavy vehicles. We further enhance the reliability of our model by incorporating a Monte Carlo-based probabilistic framework that accounts for uncertainties and interdependencies among the input parameters. Our results show that plastic and other litter are the most mobile objects found in urban setups, being subject to incipient transport under frequent floods. These are followed by wood (anthropogenic or natural) and urban furniture. Vans, caravans and recreational vehicles (RVs) can be more mobile than other light-weight vehicles in low-gradient areas, whereas trucks and buses remain considerably more stable; although more hazardous, when mobilized. Construction and metal debris are predominantly stable in low-slope areas. When integrated with flood maps or two-dimensional (2D) hydrodynamic models, our stability curves can guide urban planning efforts to predict and mitigate the impacts of UFDs during extreme flood events.
尽管大型松散物体(称为城市洪水漂流物,UFDs)在洪水事件中会带来灾难性影响,但在洪水管理中,它们的移动和运输往往被忽视。这些物体是人为活动所固有的,但并非设计用于在洪水条件下保持稳定,在洪水风险研究中通常也未被考虑。这种疏忽源于我们对流水如何与这些异质物体相互作用的理解有限。为了弥补这一知识差距,我们引入了一个机械稳定性模型,该模型可预测各种松散物体(从塑料到重型车辆)上UFDs的移动起始点。我们通过纳入基于蒙特卡洛的概率框架进一步提高了模型的可靠性,该框架考虑了输入参数之间的不确定性和相互依赖性。我们的结果表明,塑料和其他垃圾是城市环境中最易移动的物体,在频繁洪水期间容易开始移动。其次是木材(人为的或天然的)和城市家具。在低坡度地区,厢式货车、大篷车和休闲车(RVs)可能比其他轻型车辆更易移动,而卡车和公共汽车则保持相当稳定;尽管在移动时更危险。建筑和金属碎片在低坡度地区主要是稳定的。当与洪水地图或二维(2D)水动力模型相结合时,我们的稳定性曲线可以指导城市规划工作,以预测和减轻极端洪水事件期间UFDs的影响。