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Estimation of the summer-fall PMP and PMF of a northern watershed under a changed climate

机译:气候变化下北部流域夏季降PMP和PMF的估算

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摘要

This study is focused on assessing a summer-fall probable maximum precipitation (PMP) under recent climate conditions and then applying it under a future projected climate using output information from a regional climate model. The estimated PMPs are forced into a hydrological model to investigate potential changes in probable maximum flood (PMF) values. The PMP method is based on the moisture maximization method developed by the World Meteorological Organization. Precipitable water amounts are evaluated using data from the Canadian Regional Climate Model. The approach was tested on the Manic-5 River basin in Canada. Results show the PMP intensity could increase by 0.5-6% for 48 h and 72 h PMP values by the 2071-2100 horizon. These PMP values were used to assess projected PMF values. A lumped conceptual hydrological model was calibrated under recent climate values and model parameters were kept unchanged for modeling future hydrological regimes. Hydrological modeling results indicate modest changes of the PMF values for future climate projections, with no clearly identified upward or downward trends. The study also highlighted the need for a coherent approach to estimate PMF values under future climate conditions using projected PMP estimates, since the current practice of simulating the PMF value by inserting half of a PMP six days prior to the PMP event in a meteorological time series did not produce consistent results. An approach based on a random insertion of the PMP into a meteorological time series is a promising avenue to explore.
机译:这项研究的重点是评估近期气候条件下的夏秋可能最大降水量(PMP),然后使用区域气候模型的输出信息将其应用于未来的预计气候中。估计的PMP被强加到水文模型中,以调查可能的最大洪水(PMF)值的潜在变化。 PMP方法基于世界气象组织开发的水分最大化方法。使用加拿大区域气候模型的数据评估可降水量。该方法已在加拿大的Manic-5流域进行了测试。结果表明,到2071-2100年,PMP强度可以在48 h和72 h PMP值上分别增加0.5-6%。这些PMP值用于评估预计的PMF值。在最近的气候值下对集总的概念性水文模型进行了校准,模型参数保持不变,无法对未来的水文状况进行建模。水文模拟结果表明,对于未来的气候预测,PMF值有适度的变化,但没有明确确定上升或下降趋势。该研究还强调,需要采用一致的方法来使用预测的PMP估算来估算未来气候条件下的PMF值,因为目前的做法是通过在气象时间序列中的PMP事件发生前六天插入PMP的一半来模拟PMF值。没有产生一致的结果。将PMP随机插入气象时间序列中的方法是一个有前途的探索途径。

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  • 来源
    《Water resources research》 |2013年第6期|3852-3862|共11页
  • 作者单位

    Department of Construction Engineering, Ecole de technologie superieure, 1100 Notre Dame Ouest Montreal, Quebec, Canada;

    Department of Civil Engineering, Faculty of Engineering, University of Sherbrooke, 2500 Boulevard de l'Universite, Sherbrooke, J1K2R1 QC., Canada;

    Department of Civil Engineering, Faculty of Engineering, University of Sherbrooke, 2500 Boulevard de l'Universite, Sherbrooke, Quebec,Canada;

    Department of Construction Engineering, Ecole de technologie superieure, 1100 Notre Dame Ouest Montreal, Quebec, Canada;

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