论文标题
水文和流动数据的洪水风险图：在巴西圣保罗的案例研究
Flood risk map from hydrological and mobility data: a case study in São Paulo (Brazil)
论文作者
论文摘要
城市越来越面临洪水的风险，主要是由于自然土地覆盖物发生了广泛的变化，这些覆盖层变化到具有不透水的地面的建筑区域。在城市地区，洪水影响主要来自道路中断。本文提出了从水文和流动性数据中获得的城市洪水风险图，考虑到巴西圣保罗的大规模，作为案例研究。我们通过最近的排水算法高度估计洪水敏感性；以及通过暴露和脆弱性成分的潜在影响。我们将所有变量汇总到常规网格中，然后将每个组件的单元格分为三类：中等，高和非常高。除了洪水敏感性以外，所有组件在非常高的类别中都没有细胞。洪水敏感性的成分反映了水道的存在，并且对被归类为非常高的细胞的位置具有很大的影响。
Cities increasingly face flood risk primarily due to extensive changes of the natural land cover to built-up areas with impervious surfaces. In urban areas, flood impacts come mainly from road interruption. This paper proposes an urban flood risk map from hydrological and mobility data, considering the megacity of São Paulo, Brazil, as a case study. We estimate the flood susceptibility through the Height Above the Nearest Drainage algorithm; and the potential impact through the exposure and vulnerability components. We aggregate all variables into a regular grid and then classify the cells of each component into three classes: Moderate, High, and Very High. All components, except the flood susceptibility, have few cells in the Very High class. The flood susceptibility component reflects the presence of watercourses, and it has a strong influence on the location of those cells classified as Very High.
