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The critical role of the routing scheme in simulating peak river discharge in global hydrological models

机译:路由方案在模拟全球水文模型中的高峰河流流量中的关键作用

摘要

Global hydrological models (GHMs) have been applied to assess global flood hazards, but their capacity to capture the timing and amplitude of peak river discharge—which is crucial in flood simulations—has traditionally not been the focus of examination. Here we evaluate to what degree the choice of river routing scheme affects simulations of peak discharge and may help to provide better agreement with observations. To this end we use runoff and discharge simulations of nine GHMs forced by observational climate data (1971–2010) within the ISIMIP2a project. The runoff simulations were used as input for the global river routing model CaMa-Flood. The simulated daily discharge was compared to the discharge generated by each GHM using its native river routing scheme. For each GHM both versions of simulated discharge were compared to monthly and daily discharge observations from 1701 GRDC stations as a benchmark. CaMa-Flood routing shows a general reduction of peak river discharge and a delay of about two to three weeks in its occurrence, likely induced by the buffering capacity of floodplain reservoirs. For a majority of river basins, discharge produced by CaMa-Flood resulted in a better agreement with observations. In particular, maximum daily discharge was adjusted, with a multi-model averaged reduction in bias over about 2/3 of the analysed basin area. The increase in agreement was obtained in both managed and near-natural basins. Overall, this study demonstrates the importance of routing scheme choice in peak discharge simulation, where CaMa-Flood routing accounts for floodplain storage and backwater effects that are not represented in most GHMs. Our study provides important hints that an explicit parameterisation of these processes may be essential in future impact studies.
机译:全球水文模型(GHM)已用于评估全球洪灾危害,但是,其捕获峰值洪峰流量的时间和振幅的能力(这在洪水模拟中至关重要)在传统上并不是研究的重点。在这里,我们评估了河道方案的选择在多大程度上影响了洪峰流量的模拟,并可能有助于更好地与观测结果保持一致。为此,我们在ISIMIP2a项目中使用了9个GHM的径流和流量模拟,这些模拟是由观测气候数据(1971-2010年)推动的。径流模拟被用作全球河道模型CaMa-Flood的输入。使用其本地河流路由方案,将模拟的每日排放量与每个GHM产生的排放量进行比较。对于每个GHM,将两个模拟排放版本与1701 GRDC站的每月和每日排放观测值进行比较,以此作为基准。 CaMa-洪水路线显示,洪峰平原水库的缓冲能力可能导致河水高峰流量总体减少,并延迟了大约两到三周的时间出现。对于大多数流域,CaMa-Flood产生的流量与观测结果更好地达成了一致。特别是,对最大日排放量进行了调整,并使用多模型平均偏差减少了所分析流域面积的约2/3。在管理流域和近自然流域都获得了协议的增加。总的来说,这项研究表明了在峰值流量模拟中选择路线方案的重要性,其中CaMa-Flood路线说明了洪泛区的存储和回水效应,而这在大多数GHM中都没有体现。我们的研究提供了重要的暗示,即这些过程的明确参数化对于将来的影响研究可能至关重要。

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