首页> 外文期刊>Journal of hydrologic engineering >Closure to 'Reservoir Flood Season Segmentation and Optimal Operation of Flood-Limiting Water Levels' by Haiyan Jiang, Zhongbo Yu, and Chongxun Mo
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Closure to 'Reservoir Flood Season Segmentation and Optimal Operation of Flood-Limiting Water Levels' by Haiyan Jiang, Zhongbo Yu, and Chongxun Mo

机译:姜海燕,于忠博,莫崇勋对“水库汛期分段与限洪水位优化调度”的闭幕

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摘要

The writers thank the discussers for their comment and suggestion on the original paper. The discussers raised two remarks (suggestions) concerning: (1) the more suitable methods in generating hydrograDs; and (2) the consideration of using additional hydrological parameters to calculate the highest water level at a dam. The writers' opinion on these two points can be summarized as follows: 1. The writers are not quite clear about what the discussers mean by saying "the generation of hydrograDs is more accurately done by using historical data than by generating random numbers." We think this may be ascribed to the possible ambiguous description of the approach in the original paper, so we redescribe the approach in a more clear way as follows: By multiplying the typical flood hydrograDs Q_(typ)(t) by scaling coefficient k_i at every time interval, the simulated hydrograDs Q_i(t) can be obtained by Eq. (4) of the original paper as Q_i(t) = k_iQ_(typ)(t) (1) where k_(i) = Q_i/Q_(typ), Q_i = simulated peak discharge with P-Ⅲ distribution; and Q_(typ) = peak discharge of typical flood hydrograD. Q_(i) can be obtained by Eq. (3) of the original paper as Q_(i) = Q[1 - (2C_υ/C_s)] +QC_υC_s/2(-[4/C_s~2]) ∑ k In u_k - u_1~(1/r) / u_1~(1/r)+u_2~(1/s)In u_i) (2) As can be seen from Eq. (2), we do use historical data (the mean value, the variation coefficient, and the skewness coefficient of the historical peak discharge) to generate stochastic peak discharges that were then transformed into continuous hydrograDs by Eq. (1). The reason why we didn't generate continuous hydrographs directly in the original paper is that the approach we adopted, on the one hand, highlights the importance of the peak discharge Q_i, as the peak discharge might be more important than the flood volumes for reservoirs with small rainwater harvesting areas (as is the case in the original paper); on the other hand, the selected typical flood hydrographs Q_(typ)(t) are usually characterized by steep climbing curve with high peak value and gentle declining curve, which is unfavorable for reservoir flood control and which in turn will result in more safety capacity for reservoir operation.
机译:作者感谢讨论者对原始论文的评论和建议。讨论者就以下两个问题提出了意见(建议):(1)生成水草的更合适方法; (2)考虑使用附加的水文参数来计算大坝的最高水位。作者在这两点上的观点可以概括如下:1.作者并不十分清楚讨论者的意思,他们说“通过使用历史数据比通过生成随机数更准确地完成HydrograD的生成”。我们认为这可能归因于原始论文中对该方法的可能模棱两可的描述,因此我们以一种更清晰的方式重新描述了该方法,如下所示:通过将典型洪水水文Q_(typ)(t)乘以比例系数k_i每隔一个时间间隔,就可以通过等式获得模拟的水力Q_i(t)。 (4)的原始论文为Q_i(t)= k_iQ_(typ)(t)(1)其中k_(i)= Q_i / Q_(typ),Q_i =具有P-Ⅲ分布的模拟峰值放电; Q_(typ)=典型洪水水位的峰值流量。 Q_(i)可以通过等式获得。原始论文的(3)为Q_(i)= Q [1-(2C_υ/ C_s)] +QC_υC_s/ 2(-[4 / C_s〜2])∑ k在u_k-u_1〜(1 / r)/ u_1〜(1 / r)+ u_2〜(1 / s)在u_i)(2)从等式中可以看出。 (2),我们确实使用历史数据(历史峰值流量的平均值,变异系数和偏度系数)来生成随机峰值流量,然后通过等式将其转换为连续的水力发电。 (1)。我们之所以没有在原始论文中直接生成连续水位图,是因为我们采用的方法一方面强调了峰值流量Q_i的重要性,因为峰值流量可能比水库的洪水量更为重要。雨水收集区较小(如原文件所述);另一方面,选定的典型洪水水文图Q_(typ)(t)通常具有陡峭的爬坡曲线,具有高峰值和缓和的下降曲线,这不利于水库防洪,进而将提高安全能力。用于水库作业。

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  • 来源
    《Journal of hydrologic engineering》 |2016年第3期|07015024.1-07015024.1|共1页
  • 作者单位

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China;

    State Key Laboratory of Hydrology-Water Resources and Hy-draulic Engineering, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China (corresponding author);

    Guangxi Key Laboratory of Disaster Prevention and Engineer-ing Safety, College of Civil and Architectural Engineering, Guangxi Univ., Guangxi 530004, China;

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  • 入库时间 2022-08-18 00:48:40

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