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Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods

机译:使用多假设框架来改善闪蒸过程中对流动动态的理解

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A method of multiple working hypotheses was applied to a range of catchments in the Mediterranean area to analyse different types of possible flow dynamics in soils during flash flood events. The distributed, process-oriented model, MARINE, was used to test several representations of subsurface flows, including flows at depth in fractured bedrock and flows through preferential pathways in macropores. Results showed the contrasting performances of the submitted models, revealing different hydrological behaviours among the catchment set. The benchmark study offered a characterisation of the catchments' reactivity through the description of the hydrograph formation. The quantification of the different flow processes (surface and intra-soil flows) was consistent with the scarce in situ observations, but it remains uncertain as a result of an equifinality issue. The spatial description of the simulated flows over the catchments, made available by the model, enabled the identification of counterbalancing effects between internal flow processes, including the compensation for the water transit time in the hillslopes and in the drainage network. New insights are finally proposed in the form of setting up strategic monitoring and calibration constraints.
机译:将多个工作假设的方法应用于地中海地区的一系列集水区,以分析闪蒸洪水事件期间土壤中不同类型的流动动态。使用分布式的过程导向模型船舶用于测试地下流动的几个表示,包括在裂缝基岩中的深度流动,并通过大孔中的优先途径流动。结果表明,提交模型的表现对比表演,揭示了集水机组中的不同水文行为。基准研究通过对水文编幅的描述,提供了对集水器的反应性的表征。不同流程(表面和土壤流动)的定量与原位观察的稀缺相一致,但由于平原问题的结果仍然不确定。通过该模型提供的集水器的模拟流的空间描述使得内部流程过程之间的抵消效果的识别,包括山坡中的水传输时间和排水网络中的水传输时间的补偿。最终提出了新的洞察,以制定战略监测和校准约束。

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