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Multi-scale hydrometeorological observation and modelling for flash flood understanding

机译:多尺度水文气象观测和建模,以了解山洪

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This paper presents a coupled observation and modelling strategy aiming at improving the understanding of processes triggering flash floods. This strategy is illustrated for the Mediterranean area using two French catchments (Gard and Ardèche) larger than 2000 km~2. The approach is based on the monitoring of nested spatial scales: (1) the hillslope scale, where processes influencing the runoff generation and its concentration can be tackled; (2) the small to medium catchment scale (1-100 km~2), where the impact of the network structure and of the spatial variability of rainfall, landscape and initial soil moisture can be quantified; (3) the larger scale (100-1000 km~2), where the river routing and flooding processes become important. These observations are part of the HyMeX (HYdrological cycle in the Mediterranean EXperiment) enhanced observation period (EOP), which will last 4 years (2012-2015). In terms of hydrological modelling, the objective is to set up regional-scale models, while addressing small and generally ungauged catchments, which represent the scale of interest for flood risk assessment. Topdown and bottom-up approaches are combined and the models are used as "hypothesis testing" tools by coupling model development with data analyses in order to incrementally evaluate the validity of model hypotheses. The paper first presents the rationale behind the experimental set-up and the instrumentation itself. Second, we discuss the associated modelling strategy. Results illustrate the potential of the approach in advancing our understanding of flash flood processes on various scales.
机译:本文提出了一种耦合的观察和建模策略,旨在增进对引发山洪泛滥的过程的理解。地中海地区使用两个大于2000 km〜2的法国集水区(Gard和Ardèche)来说明这种策略。该方法基于对嵌套空间尺度的监视:(1)山坡尺度,可以解决影响径流产生及其集中的过程; (2)中小流域规模(1-100 km〜2),可以量化网络结构的影响以及降雨,景观和初始土壤水分的空间变异性; (3)较大的规模(100-1000 km〜2),其中河道和洪水过程变得很重要。这些观测结果是HyMeX(地中海实验水文周期)增强观测期(EOP)的一部分,该观测期将持续4年(2012-2015年)。在水文建模方面,目标是建立区域尺度模型,同时处理小规模和普遍未流域的流域,这代表了洪水风险评估的兴趣范围。自上而下和自下而上的方法相结合,并且通过将模型开发与数据分析耦合起来,将模型用作“假设检验”工具,以便逐步评估模型假设的有效性。本文首先介绍了实验设置和仪器本身的基本原理。其次,我们讨论相关的建模策略。结果说明了该方法在增进我们对各种规模的山洪暴发过程的理解方面的潜力。

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