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衢江衢州段生态径流计算

发布时间:2018-06-18 23:07

  本文选题:生态径流 + 概率密度 ; 参考:《水电能源科学》2017年03期


【摘要】:衢江衢州段为典型的山溪性河流,其径流易受降雨影响而剧烈波动,为计算其生态径流,基于1956~2006年衢江衢州段逐日流量资料,利用Mann-Kendall法逐月对径流数据进行突变诊断。选取突变前序列,运用15种偏态分布函数逐月拟合日径流资料,综合三种拟合优度检验法的结果,选取最佳拟合函数,取最佳拟合函数概率密度最大处的径流为概率密度法的生态径流,再结合水文变异指标法及变化范围法(RVA/IHA)框架下的生态径流结果,取二者较大值为最终的生态径流过程,并与最枯月频率法和逐月频率法的计算结果比较,引入生态径流满足率评价各计算方法的优劣。结果表明,逐月频率法掩盖了日径流的剧烈波动,应用于山溪性小型河流的生态径流计算不甚合理,概率密度法结合RVA/IHA法的生态径流计算方法较合理。研究结果可为其他山溪性小型河流的生态径流计算提供参考。
[Abstract]:Quzhou section of Quzhou River is a typical mountain stream, whose runoff is easily affected by rainfall. In order to calculate its ecological runoff, based on the daily discharge data of Quzhou section of Quzhou from 1956 to 2006, the Mann-Kendall method is used to diagnose the abrupt change of runoff data month by month. Selecting the premutation sequence, using 15 kinds of skewness distribution function to fit the daily runoff data every month, synthesizing the results of three kinds of goodness of fit test method, selecting the best fitting function, Taking the best fitting function where the maximum probability density is the ecological runoff of the probability density method, and combining the ecological runoff results under the framework of the hydrological variation index method and the range of variation method (RVA / IHA), taking the larger values of the two as the final ecological runoff process. Compared with the calculation results of the most-withered monthly frequency method and the monthly frequency method, the ecological runoff satisfaction rate was introduced to evaluate the advantages and disadvantages of each calculation method. The results showed that the monthly frequency method masked the violent fluctuation of daily runoff, and the calculation of ecological runoff of small rivers was not reasonable, and the method of probability density method combined with RVA / IHA method was more reasonable than that of RVA / IHA method. The results can be used as a reference for the calculation of ecological runoff of other small mountain rivers.
【作者单位】: 衢州市水土保持监督管理站;衢州市水文勘测站;
【基金】:衢州市115人才工程培养人员科技项目
【分类号】:P333

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