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Next generation hydraulic modeling for inundation mapping and flood warning in complex urban systems.

机译:用于复杂城市系统中淹没制图和洪水预警的下一代水力建模。

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This thesis presents a novel methodology for predicting flooding in complex urban environments. MIKE-FLOOD was used to dynamically model the interactions between overland flow, storm sewer drainage, and tail water by linking a modeled storm sewer system and outfall with a detailed 2D hydrodynamic overland flow model to generate animations displaying the location, depth, and duration of flooding. This research project focused on the Texas Medical Center (TMC), located in the Harris Gully watershed, which endured over 3 billion dollars in flood damage from Tropical Storm Allison in 2001. The system of integrated models was calibrated versus TS Allison and matched commendably with an absolute average error of less than 3 inches. This new approach to predicting flooding in complex urban systems has shown to be easier to set up and more dynamic and powerful than other more conventional approaches to urban inundation mapping and flood prediction.
机译:本文提出了一种预测复杂城市环境中洪水的新方法。 MIKE-FLOOD通过将模型化的雨水排放系统和排水口与详细的2D流体动力陆上水流模型联系起来,用于动态建模陆上水流,雨水排水系统和尾水之间的相互作用,从而生成动画来显示水流的位置,深度和持续时间洪水。该研究项目的重点是位于哈里斯沟流域的德克萨斯医学中心(TMC),该医学中心在2001年遭受了热带风暴艾里森造成的超过30亿美元的洪灾损失。集成模型系统相对于TS艾里森进行了校准,并与之匹配。绝对平均误差小于3英寸。与其他更常规的城市淹没制图和洪水预测方法相比,这种在复杂的城市系统中预测洪水的新方法显示起来更容易建立,并且更加动态和强大。

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