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Study of the dynamic evaluation model of overall hydrological alteration degree based on the rva and set pair analysis-Markov chain methods

机译:基于RVA的整体水文改变程度的动态评价模型研究 - Markov链式方法

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摘要

The concept of overall hydrological alteration degree in the traditional range of variability approach is no longer suitable for the requirements of the current changing environment. First, by introducing the analytic hierarchy process and including the concept of deviation in the range of variability approach, the traditional range of variability approach is improved. Second, by using the daily flow data from the Guide gauging station in the lower reaches of Longyangxia reservoir from 1954 to 2017 and by combining the concept of connection degree in set pair analysis, a more comprehensive overall hydrological alteration degree is obtained. Finally, based on the results of overall hydrological alteration degree in each period, a dynamic evaluation model of overall hydrological alteration degree is established based on a set pair analysis-Markov chain method. The results show that the overall hydrological alteration degree of the Longyangxia reservoir in the postimpact period is at the second level; its average is -0.43, but its identity tends to increase. Furthermore, the dynamic evaluation model shows that the overall hydrological alteration degree of its stable state will be 0.1726, its impact flow changes and its stable state will be at the third level. This is a positive developing trend.
机译:传统的可变性方法范围内的整体水文改变程度的概念不再适用于当前变化环境的要求。首先,通过引入分析层次结构并包括在可变性方法范围内的偏差概念,改善了传统的可变性方法范围。其次,通过使用来自1954年至2017年龙阳溪储层的下游的指南测量站的日常流量数据,并通过组合套对分析中的连接程度的概念,获得更全面的整体水文改变程度。最后,基于每个时期的整体水文改变程度的结果,基于集对分析 - 马尔可夫链法建立了整体水文改变程度的动态评估模型。结果表明,龙粘峡储层在后期的整体水文改变程度在第二层;它的平均值为-0.43,但其身份趋于增加。此外,动态评估模型表明,其稳定状态的整体水文改变程度为0.1726,其冲击流动变化和其稳定状态将在第三级。这是一个积极的发展趋势。

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