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A staggered approach to flash flood forecasting – case study in the Cévennes region

机译:突发洪水预报的交错方法–塞文山脉地区的案例研究

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A staggered approach to flash flood forecasting is developed within theIMPRINTS project (FP7-ENV-2008-1-226555). Instead of a single solutionsystem, a chain of different models and input data is being proposed that actin sequence and provide decision makers with information of increasingaccuracy in localization and magnitude as the events approach. The firstsystem in the chain is developed by adapting methodologies of the EuropeanFlood Alert System (EFAS) to forecast flash floods and has the potential toprovide early indication for probability of flash floods at the Europeanscale. The last system in the chain is an adaptation of the data basedmechanistic model (DBM) to probabilistic numerical weather predictions (NWP)and observed rainfall, with the capability to forecast river levels up to12 h ahead. The potential of both systems to provide complementaryinformation is illustrated for a flash flood event occurred on 2 November2008 in the Cévennes region in France. Results show that the uncertaintyin meteorological forecasts largely affects the outcomes. However, at anearly stage, uncertain results are still valuable to decision makers, as theyraise preparedness towards prompt actions to be taken.
机译:在IMPRINTS项目(FP7-ENV-2008-1-226555)中开发了一种交错的山洪预报方法。代替单一的解决方案系统,提出了一系列不同的模型和输入数据,这些序列作用于肌动蛋白序列,并随着事件的临近,为决策者提供本地化和规模准确性不断提高的信息。链中的第一个系统是通过调整EuropeanFlood Alert System(EFAS)的方法来开发的,以预报山洪暴发,并有可能为欧洲范围内的山洪暴发概率提供早期指示。链中的最后一个系统是将基于数据的机械模型(DBM)适应概率数值天气预报(NWP)和观测到的降雨,并能够预测长达12小时的河流水位。在2008年11月2日法国塞文山脉地区发生的山洪暴发事件中,说明了这两种系统提供补充信息的潜力。结果表明,气象预报的不确定性在很大程度上影响结果。但是,在早期阶段,不确定的结果对于决策者仍然很有价值,因为他们提高了准备采取迅速行动的准备。

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