考虑在梅杰达河的一部分支流上重建一个极端事件

A. Sahar, Habaieb Hamadi, Hermassi Taoufik
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摘要

洪水问题从一开始就强加给了这个人。许多自然灾害让他开始反思洪水的威力和频率。在过去,兴趣主要是关于水深和流量的最大值的知识。目前,人们对河流支流洪水传播过程中水文特征及其变化的研究越来越感兴趣。洪水传播的模型多种多样;从简单的统计接收到Saint-Venant的偏微分方程[1],有大量的算法。为了重建洪水的水文曲线,迄今为止使用的最简单的模型是Muskingum和Regression。在突尼斯,洪水问题出现在唯一的多年生河流Medjerda,特别是在Bou Salem平原。在我记忆大师的工作中,我们运用Muskingum和Regression模型重建了Sidi Salem大坝上游Medjerda河主要站点的洪水线。我们得出的结论是回归模型效率更高[2]。本文将尝试分析引入支流在洪水线重建中的作用。本研究的目的是重建2003年1月梅杰达河支流布塞勒姆洪水的水文曲线。采用两种模型:Muskingum模型和回归模型。重构时间分别为2、4、6和8小时。为了评价重构模型的质量,我们选择了三个性能标准:标准差误差S、峰值相对误差S1和峰值时差S2。Bou Salem洪水(下游站)从Jendouba(上游站)重建的情景设置为:(1)不考虑支流,(2)考虑支流Tessa,(3)考虑支流Mellegue,(4)同时考虑Tessa和Mellegue两条支流。应用该模型对2003年1月汛期的水文曲线进行了较好的重建。考虑支流可以改善重建的结果。所得到的执行模型是同时考虑Tessa和Mellegue两条支流的回归,并且在所有计算时间内。该模型给出了性能标准的最佳值。
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Considering tributaries to reconstitute an extreme event on a portion of the Medjerda river
The flooding problem was been imposed to the man since ever. Many natural disasters have led him to reflect on the power and frequency of floods. In the past, interest was mainly the knowledge of the maximum values of the water depth and flow. Currently, interest is turning more and more to the characteristics of hydrographs and their variation during flood propagation of river's tributary. Models of flood propagation are varied; there are a big number of algorithms from simple statistical receipt to the partial differential equations of Saint-Venant [1]. To reconstitute flood's hydrographs, the simplest models used until now are Muskingum and Regression. In Tunisia, the flood problem arise the only perennial river, Medjerda, in particularly the plain of Bou Salem. During the work of my memory Masters, we applied Muskingum and Regression models to reconstitute flood hydrographs of the main stations Medjerda River upstream Sidi Salem dam. We concluded that the model more efficient is regression [2]. We will try in this article to analyze the effect of introducing the tributaries in the reconstitution of flood hydrographs. The objective of this study is the reconstitution of flood's hydrographs of January 2003 of Bou Salem which is a subwatershed of Medjerda River. Two models were used: Muskingum and regression. Reconstitution times are 2, 4, 6 and 8 hours. To evaluate the quality of reconstitution models, three performance criteria were selected: standard deviation error `S', peak relative error `S1' and peak time difference `S2'. The reconstitution of Bou Salem' floods (downstream station) from Jendouba (upstream station) was sets in four scenarios: (1) ignoring the tributaries, (2) considering the tributary Tessa, (3) taking into account the tributary Mellegue and (4) considering both tributaries of Tessa and Mellegue. Following this application, we concluded that regression model reconstituted well the flood's hydrographs of January 2003 for all calculation times. Consideration of tributaries improves the results of reconstitution. The performed model obtained is the regression that takes into account two tributaries of Tessa and Mellegue at once, and for all calculation times. The model gave the best value of the performance criteria.
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