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Prise en compte des fluctuations spatio-temporelles pluies-débits pour une meilleure gestion de la ressource en eau et une meilleure évaluation des risques

机译:考虑时空降雨流的波动,以便更好地管理水资源和进行更好的风险评估

摘要

To reduce vulnerability and to increase resilience of nowadays societies to heavy precipitations and floods require better understanding of their very strong spatio-temporal variability observable over a wide range of scales. Therefore, throughout this thesis we highlight the methodological interest of a multifractal approach as being most appropriate to analyze and to simulate such the variability. This thesis first discusses the problem of data quality, which strongly depends on the effective temporal resolution of the measurements, and its influence on multifractal analysis determining the scaling laws of precipitation processes. We emphasize the consequences for operational hydrology. We present the SERQUAL procedure that allows to quantify the data quality and to select periods corresponding to the required quality criteria. A surprising result is that long chronological series of rainfall often have an effective hourly data, rather than the pretended 5-minute rainfall data. Then, this thesis focuses on the selected data to characterize the temporal structure and extreme behaviour of rainfall. We analyze the sources of uncertainties of already "classical" multifractal methods for the parameter estimates, and we therefore developed their improvements considering e.g., the finite size of data samples and the limitation of sensor dynamics. These improvements are used to obtain proper multifractal characteristics of 5-minute high-resolution rainfall for several French departments (i.e., 38, 78, 83 and 94), and hence to raise the question of preicipitation evolution during the last decades in the context of climate change. This study is reinforced by the analysis of radar mosaics for three major events in the Paris region. Finally, this thesis highlights another application of the developed methods, i.e. for the karst hydrology. We discuss the multifractal characteristics of rainfall and runoff processes observed at the different resolutions in two karst watersheds on the south of France. Using daily, 30-minute and 3-minute measurements we analyse the rainfall-runoff relationships within the multifractal framework. This is a major step towards defining a rainfall-runoff multi-scale model of the karst watershed functioning
机译:为了减少当今社会的脆弱性并提高其抵御暴雨和洪灾的能力,需要更好地理解其在很多种尺度上都可观测到的非常强烈的时空变异性。因此,在整个论文中,我们强调了多重分形方法的方法学意义,因为它最适合分析和模拟这种可变性。本文首先讨论了数据质量问题,该问题在很大程度上取决于测量的有效时间分辨率及其对确定降水过程比例定律的多重分形分析的影响。我们强调水文业务的后果。我们提出了SERQUAL程序,该程序可以量化数据质量并选择与所需质量标准相对应的时间段。令人惊讶的结果是,按时间顺序排列的长降雨序列通常具有有效的小时数据,而不是假装的5分钟降雨数据。然后,本文着重于选择的数据来表征降雨的时间结构和极端行为。我们分析了已经“经典”的多重分形方法用于参数估计的不确定性来源,因此我们考虑到了数据样本的有限大小和传感器动力学的局限性,对它们进行了改进。这些改进被用于为法国的几个部门(即38、78、83和94)获得5分钟高分辨率降雨的适当的多重分形特征,并因此提出了在过去几十年中降水趋势演变的问题。气候变化。通过对巴黎地区三项重大事件的雷达镶嵌图进行分析,从而加强了这项研究。最后,本论文重点介绍了开发方法的另一种应用,即用于岩溶水文学。我们讨论了法国南部两个喀斯特流域在不同分辨率下观测到的降雨和径流过程的多重分形特征。使用每日,30分钟和3分钟的测量值,我们分析了多重分形框架内的降雨-径流关系。这是定义喀斯特流域功能降雨径流多尺度模型的重要一步

著录项

  • 作者

    Hoang Cong Tuan;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 fr
  • 中图分类

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