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Stochastic generation and disaggregation of hourly rainfall series for continuous hydrological modelling and flood control reservoir design

机译：用于连续水文模拟和防洪水库设计的每小时降雨序列的随机生成和分解

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In the urban environment, stormwater detention basins are a powerful means to limit the frequency of sewer system failures and consecutive urban flooding. To design such waterworks or to check their efficiency, it is possible to carry out continuous rainfall-runoff modelling. A long-term discharge series obtained from a long-term rainfall series is used as input for a storage model describing the detention basin behaviour: the basin behaviour may be consequently studied over a long period. The provided statistical information on the working state frequency, failure frequency,... of the detention basin is of high interest for the basin diagnostic or for its design. This paper presents the whole methodology which leads to production of such statistical information and especially: the models used to generate long term rainfall series with a short time step, the rainfall-runoff model used to transform the later series into a long term discharge series, and the model used to describe the behaviour of the detention basin. This methodology was applied to evaluate the efficiency of 4 detention basins built for stormwater control and flood mitigation. They are situated on a Swiss urban catchment (Chamberonne catchment - 40 km(2)) collecting water from the Mebre and Sorge rivers. [References: 9]
机译：在城市环境中，雨水滞留盆地是限制下水道系统故障和连续性城市洪水发生频率的有力手段。为了设计此类水厂或检查其效率，可以进行连续的降雨径流模拟。从长期降雨序列中获得的长期排放序列用作描述滞留盆地行为的存储模型的输入：因此，可能需要长期研究流域的行为。所提供的有关滞留池工作状态频率，故障频率等的统计信息对于该池的诊断或设计具有很高的意义。本文介绍了导致产生此类统计信息的整个方法，尤其是：用于在短时间步长下生成长期降雨序列的模型，用于将后一个序列转化为长期排放序列的降雨径流模型，以及用来描述滞留盆地行为的模型。该方法用于评估为控制雨水和减轻洪水而建造的四个滞留盆地的效率。它们位于瑞士的城市集水区（Chamberonne集水区-40 km（2））上，从Mebre河和Sorge河收集水。 [参考：9]

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