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A comparison of flood extent modelling approaches through constraining uncertainties on gauge data

机译:通过约束量表数据的不确定性来比较洪水范围建模方法

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A comparison is made of 1D, 2D and integrated 1D-2D hydraulic models in predicting flood stages in a 17 km reach of the River Saar in Germany. The models perform comparably when calibrated against limited data available from a single gauge in the reach for three low to medium flood events. In validation against a larger event than those used in calibration, extrapolation with the 1D and particularly the integrated 1D-2D model is reliable, if uncertain, while the 2D model is unreliable. The difference stems from the way in which the models deal with flow in the main channel and in the floodplain and with turbulent momentum interchange between the two domains. The importance of using spatial calibration data for testing models giving spatial predictions is shown. Even simple binary (eye-witness) observations on the presence or absence of flooding in establishing a reliable model structure to predict flood extent can be very valuable. style="line-height: 20px;">Keywords: floods, hydraulic modelling, model calibration, uncertainty analysis
机译:比较了1D,2D和集成的1D-2D水力模型,以预测德国萨尔河17公里处的洪水阶段。当针对三个中低洪水事件,针对单个压力表可获取的有限数据进行校准时,这些模型的性能可比。在针对比校准中使用的事件更大的事件进行验证时,如果不确定,则使用1D尤其是集成的1D-2D模型进行推断是可靠的,而2D模型则是不可靠的。差异源于模型处理主通道和洪泛区的流量以及两个域之间湍流动量交换的方式。显示了使用空间校准数据来测试给出空间预测的模型的重要性。甚至在建立可靠的模型结构以预测洪水范围时,对是否存在洪水的简单二进制(目击者)观察也非常有价值。 style =“ line-height:20px;”> 关键字:洪水,水力建模,模型校准,不确定性分析

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