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Technical Note: Updating procedure for flood forecasting with conceptual HBV-type models

机译:技术说明:使用概念性HBV类型模型进行洪水预报的更新程序

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摘要

Flood forecasting is of increasing importance as it comes to an increasing variability in global and local climates. But rainfall-runoff models are far from being perfect. In order to achieve a better prediction for emerging flood events, the model outputs have to be continuously updated. This contribution introduces a rather simple, yet effective updating procedure for the conceptual semi-distributed rainfall-runoff model PREVAH, whose runoff generation module relies on similar algorithms as the HBV-Model. The current conditions of the system, i.e. the contents of the upper soil reservoirs, are updated by the proposed method. The testing of the updating procedure on data from two mountainous catchments in Switzerland reveals a significant increase in prediction accuracy with regards to peak flow.
机译:洪水预报变得越来越重要,因为它涉及到全球和当地气候的不断变化。但是降雨径流模型远非完美。为了对新出现的洪水事件进行更好的预测,必须不断更新模型输出。这一贡献为概念性的半分布式降雨-径流模型PREVAH引入了一个相当简单但有效的更新程序,该模型的径流生成模块依赖于与HBV模型相似的算法。该系统的当前条件,即上部土壤储层的内容,通过所提出的方法来更新。对来自瑞士两个山区流域的数据进行更新程序的测试表明,关于峰值流量的预测准确性有了显着提高。

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