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Development of a screening method to assess flood risk on Danish national roads and highway systems

机译:开发一种评估丹麦国家道路和高速公路系统洪水风险的筛选方法

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A method to assess flood risk on Danish national roads in a large area in the middle and southernnpart of Jutland, Denmark, was developed for the Danish Road Directorate. Flood risk has gainednrenewed focus due to the climate changes in recent years and extreme rain events are expected tonbecome more frequent in the future. The assessment was primarily based on a digital terrain modeln(DTM) covering 7,500 km2nin a 1.6 × 1.6 m grid. The high-resolution terrain model was chosen in ordernto get an accurate estimation of the potential flooding in the road area and in the immediate vicinity,nbut also put a high requirement on the methods, hardware and software applied. The outcome of thenanalysis was detailed maps (as GIS layers) illustrating the location of depressions with depths,nsurface area and volume data for each depression. Furthermore, preferential flow paths, catchmentnboundaries and ranking of each depression were calculated. The ranking was based on volume ofndepressions compared with upstream catchment and a sensitivity analysis of the runoff coefficient.nFinally, a method for assessing flood risk at a more advanced level (hydrodynamic simulation ofnsurface and drainage) was developed and used on a specific blue spot as an example. The case studynshows that upstream catchment, depressions, drainage system, and use of hydrodynamicncalculations have a great influence on the result. Upstream catchments can contribute greatly to thenflooding.
机译:在丹麦日德兰中部和南部大部分地区,开发了一种评估丹麦国道洪水风险的方法。由于近年来的气候变化,洪水风险已不再是人们关注的焦点,并且预计未来还会出现极端降雨事件。评估主要基于1.6×1.6 m网格中覆盖7,500平方千米的数字地形模型(DTM)。选择高分辨率地形模型的目的是为了准确估计道路区域和附近地区的潜在洪水,但同时也对应用的方法,硬件和软件提出了很高的要求。随后的分析结果是详细的地图(作为GIS图层),显示了凹陷的位置以及每个凹陷的深度,n表面积和体积数据。此外,还计算了每个洼地的优先流动路径,流域边界和等级。该排名基于与上游流域相比的低洼地面积和径流系数的敏感性分析。最后,开发了一种用于评估洪水风险的更高级方法(对地表和排水的流体动力学模拟),并将其用于特定的蓝点一个例子。案例研究表明,上游集水区,洼地,排水系统和水动力计算的使用对结果有很大的影响。上游集水区可以极大地促进洪水泛滥。

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