利用三维城市模型确定洪水灾害对道路网络影响的新方法

R. Khalil
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摘要

城市地区的山洪主要破坏道路网络。事实上,洪水期间的街道就像溪流或陆地上的流道。这阻塞了交通,停止了公共服务,并中断了经济活动。以前的研究把城市地区的洪水当作发生在农村地区的洪水来处理。本研究提出了一种将道路网络视为山洪路径的新方法。新方法使用三维城市模型作为水文分析的基础。这种方法将建筑和街道视为地形的一部分,导致水在街道上流动,就像在现实中一样。计算了街道上的洪水深度,并将其作为风险因素。利用遥感(RS)和地理信息系统(GIS)技术获取和准备水力模型所需的输入数据。研究了不同汛期的不同洪水情景,并生成了路网的洪水风险代码图。研究结果表明,研究区41.2%的路网处于较频繁降雨事件的高洪涝风险中,低频繁降雨事件(50年和100年)的这一比例达到80% ~ 90%。通过与实际洪水资料的比较,对新方法进行了评价,精度达到77%。这项研究的结果可能有助于决策者采取必要的行动来保护人民和财产。
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A new approach to determine the flood hazard impact on road network using 3D city model
Flash flood in urban area strikes mainly the road network. In fact, the streets during flood act as streams or overland flow paths. This jams the traffic, stops the public services, and interrupts the economic activities. Previous studies have treated floods in urban areas as if they were occurring in rural areas. This study presents a new approach that treats the road network as the path of the flash flood water. The new approach uses a 3D city model as the basis for hydrology analysis. This approach regards the building and the streets as part of the terrain that results in water flowing through the streets as it does in reality. The depth of flood water in the streets is calculated and used as a risk factor. Remote Sensing (RS) and Geographical Information System (GIS) technologies are used to obtain and prepare the required input data for the hydraulic model. Various flood scenarios were investigated for different return periods and flood risk code maps for the road network were generated. The obtained results showed that 41.2% of the road network in the study area is under high flood risk from fairly frequent rainfall events, and this percentage reaches 80% to 90% for low frequent flood events (50 years and 100 years flood). The new approach was evaluated by comparing the derived results with actual flood data and had an accuracy of 77%. The results of this study may help decision makers to take the necessary actions to protect people and property.
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