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A reliable rainfall-runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy

机译:用于洪水预报的可靠降雨径流模型:在意大利具有高洪水风险的半城市化流域中的回顾和应用

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摘要

Many rainfall-runoff (RR) models are available in the scientific literature. Selecting the best structure and parameterization for a model is not straightforward and depends on a broad number of factors, including climatic conditions, catchment characteristics, temporal/spatial resolution and model objectives. In this study, the RR model 'Modello Idrologico Semi-Distribuito in continuo' (MlSDc), mainly developed for flood simulation in Mediterranean basins, was tested on the Seveso basin, which is stressed several times a year by flooding events mainly caused by excessive urbanization. The work summarizes a compendium of the MlSDc applications over a wide range of catchments in European countries and then it analyses the performances over the Seveso basin. The results show a good fit behaviour during both the calibration and the validation periods with a Nash-Sutcliffe coefficient index larger than 0.9. Moreover, the median volume and peak discharge errors calculated on several flood events were less than 25%. In conclusion, we can be assured that the reliability and computational speed could make the MlSDc model suitable for flood estimation in many catchments of different geographical contexts and land use characteristics. Moreover, MlSDc will also be useful for future support of real-time decision-making for flood risk management in the Seveso basin.
机译:科学文献中提供了许多降雨径流(RR)模型。为模型选择最佳结构和参数化并非易事,它取决于多种因素,包括气候条件,集水区特征,时间/空间分辨率和模型目标。在这项研究中,主要用于地中海盆地洪水模拟的RR模型“连续的半干旱Idrologico半分布”模型(MlSDc)在塞维索盆地进行了测试,塞韦索盆地每年因多次洪水造成的洪水事件每年承受几次压力城市化。该工作总结了欧洲国家广泛流域的MlSDc应用概述,然后分析了塞维索盆地的表现。结果显示在Nash-Sutcliffe系数指数大于0.9的情况下,在校准和验证期间均具有良好的拟合行为。此外,在几次洪水事件中计算出的中位流量和峰值排放误差小于25%。总之,我们可以肯定的是,可靠性和计算速度可以使MlSDc模型适合于不同地理环境和土地利用特征的许多流域的洪水估算。此外,MlSDc也将为塞维索盆地洪水风险管理的实时决策的未来支持提供帮助。

著录项

  • 来源
    《Nordic hydrology》 |2017年第4期|726-740|共15页
  • 作者单位

    Department of Agricultural and Environmental Sciences (DiSAA). University of Milan, Via celoria 2,20133 Milan,Italy;

    Department of Agricultural and Environmental Sciences (DiSAA). University of Milan, Via celoria 2,20133 Milan,Italy;

    Research Institute for Geo-Hydrological Protection,National Research Council,Via Madonna Alta 126,06128 Perugia,Italy;

    Research Institute for Geo-Hydrological Protection,National Research Council,Via Madonna Alta 126,06128 Perugia,Italy;

    Research Institute for Geo-Hydrological Protection,National Research Council,Via Madonna Alta 126,06128 Perugia,Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    calibration; flood forecasting; rainfall-runoff; semi-urbanized catchment; Seveso;

    机译:校准;洪水预报;降雨径流半城市集水区;塞韦索;

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