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首页> 外文期刊>The Science of the Total Environment >Assessing flood probability for transportation infrastructure based on catchment characteristics, sediment connectivity and remotely sensed soil moisture
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Assessing flood probability for transportation infrastructure based on catchment characteristics, sediment connectivity and remotely sensed soil moisture

机译：基于集水特征，泥沙连通性和遥感土壤湿度评估交通基础设施的洪灾可能性

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Flooding may damage important transportation infrastructures, such as roads, railways and bridges, which need to be well planned and designed to be able to withstand current and possible future climate-driven increases in flood frequencies and magnitudes. This study develops a novel approach to predictive statistical modelling of the probability of flooding at major road-stream intersection sites, where water, sediment and debris can accumulate and cause failure of drainage facilities and associated road damages. Two areas in south-west Sweden, affected by severe floods in August 2014, are used in representative case studies for this development. A set of physical catchment-descriptors (PCDs), characterizing key aspects of topography, morphology, soil type, land use, hydrology (precipitation and soil moisture) and sediment connectivity in the water-and sediment-contributing catchments, are used for the predictive flood modelling. A main novel contribution to such modelling is to integrate the spatiotemporal characteristics of remotely-sensed soil moisture in indices of sediment connectivity (IC), thereby also allowing for investigation of the role of soil moisture in the flood probability for different road-stream intersections. The results suggest five categories of PCDs as especially important for flood probability quantification and identification of particularly flood-prone intersections along roads (railways, etc.) These include: channel slope at the road-stream intersection and average elevation, soil properties (mainly percentage of till), land use cover (mainly percentage of urban areas), and a sediment connectivity index that considers soil moisture in addition to morphology over the catchment. (C) 2019 The Authors. Published by Elsevier B.V.
机译：洪水可能会损坏重要的运输基础设施，例如道路，铁路和桥梁，需要对这些基础设施进行周密的规划和设计，以便能够承受当前以及未来可能由气候驱动的洪水频率和幅度的增加。这项研究开发了一种新的方法，用于对主要路口交叉口发生洪水的概率进行预测统计建模，在该处，水，沉积物和碎屑会积聚并造成排水设施故障和相关的道路破坏。瑞典西南部两个地区在2014年8月受到严重洪灾的影响，被用于此开发的代表性案例研究。一组物理汇水量描述程序（PCD），用于描述地形，形态，土壤类型，土地利用，水文学（降水和土壤湿度）以及水和沉积物贡献流域中的泥沙连通性等关键方面，用于预测。洪水建模。对这种模型的主要新颖贡献是将遥感土壤水分的时空特征整合到了沉积物连通性（IC）指标中，从而也可以研究土壤水分在不同路流交叉口洪水概率中的作用。结果表明五类PCD对于洪水概率定量和识别沿公路（铁路等）易发洪水的交叉路口特别重要，包括：道路与河流交叉口的河道坡度和平均海拔，土壤特性（主要是百分比）耕作覆盖率，土地利用覆盖率（主要是城市地区的百分比）以及沉积物连通性指数，该指数除了集水区的形态外还考虑了土壤水分。 （C）2019作者。由Elsevier B.V.发布

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