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Operational flood-forecasting in the Piemonte region – development and verification of a fully distributed physically-oriented hydrological model

机译:皮埃蒙特地区的业务性洪水预报–开发和验证完全分布式的面向物理的水文模型

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A hydrological model for real time flood forecasting to Civil Protectionservices requires reliability and rapidity. At present, computationalcapabilities overcome the rapidity needs even when a fully distributedhydrological model is adopted for a large river catchment as the Upper Poriver basin closed at Ponte Becca (nearly 40 000 km2). This approachallows simulating the whole domain and obtaining the responses of large aswell as of medium and little sized sub-catchments. The FEST-WB hydrologicalmodel (Mancini, 1990; Montaldo et al., 2007; Rabuffetti et al., 2008) isimplemented. The calibration and verification activities are based on morethan 100 flood events, occurred along the main tributaries of the Po riverin the period 2000–2003. More than 300 meteorological stations are used toobtain the forcing fields, 10 cross sections with continuous and reliabledischarge time series are used for calibration while verification isperformed on about 40 monitored cross sections. Furthermore meteorologicalforecasting models are used to force the hydrological model withQuantitative Precipitation Forecasts (QPFs) for 36 h horizon in"operational setting" experiments. Particular care is devoted tounderstanding how QPF affects the accuracy of the Quantitative DischargeForecasts (QDFs) and to assessing the QDF uncertainty impact on the warningsystem reliability. Results are presented either in terms of QDF and ofwarning issues highlighting the importance of an "operational based"verification approach.
机译:用于民防部门的实时洪水预报的水文模型需要可靠性和快速性。目前,即使在庞特贝卡(Ponte Becca)(近40 000 km 2 )关闭上Poriver盆地时,即使对大型河流集水区采用完全分布式水文模型,计算能力仍能满足快速性需求。这种方法可以模拟整个域,并获得大型和中型和小型子集水区的响应。建立了FEST-WB水文模型(Mancini,1990; Montaldo等,2007; Rabuffetti等,2008)。校准和验证活动基于2000年至2003年沿波河主要支流发生的100多次洪水事件。使用了300多个气象站来获取强迫场,使用10个具有连续可靠排放时间序列的横截面进行标定,同时对大约40个受监测横截面进行验证。此外,在“操作环境”实验中,采用了气象预报模型对36 h范围内的水文模型进行了定量降水预报(QPF)。要特别注意了解QPF如何影响定量放电预报(QDF)的准确性,并评估QDF不确定性对预警系统可靠性的影响。结果以QDF和警告问题的形式呈现,突出了“基于操作的”验证方法的重要性。

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