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基于Copula函数的黄河上中下游水沙丰枯遭遇对比分析OA

Comparative analysis of rich-poor encountering of runoff and sediment in the upper-middle-lower reaches of the Yellow River based on Copula function

中文摘要英文摘要

为了揭示黄河复杂的水沙协同变化规律,基于2002-2022 年黄河上中下游3 个水文站的径流量与输沙量数据,利用二维和三维 Copula 函数构建了水沙联合分布模型,并计算了水沙丰枯遭遇的概率.结果表明:各水文站径流量和输沙量在 P<0.01 水平下具有显著的相关性,下游利津水文站的相关性最强(Pearson 和 Kendall 秩相关系数分别为 0.958 和 0.823);Gumbel 和 Gaussian Copula 函数分别最适合描述各水文站径流量与输沙量的二维联合分布、径流量或输沙量在各水文站间的三维联合分布;在水文站尺度上径流量与输沙量同步概率较高,其中下游利津水文站同步概率最大(77.35%),且表现为同丰>同平>同枯;异步遭遇中以"一平一枯"概率最大;在流域空间尺度上,径流量或输沙量在各水文站间的丰枯异步概率显著高于同步概率(径流量异步概率70.80%,输沙量异步概率 66.54%),同步遭遇中均以同丰概率最高;黄河水沙丰枯遭遇在水文站内以同步为主,而在空间上则以异步为主,下游同步性最强,中游异步性最为显著.

To reveal the complex synergistic variation patterns of runoff and sediment in the Yellow River,a joint distribution model for runoff and sediment was constructed using two-and three-dimensional Copula functions based on runoff and sediment load data from three hydrologi-cal stations located in the upper-middle-lower reaches of the Yellow River Basin from 2002 to 2022.The encounter probabilities of abundant and deficient conditions for runoff and sediment transport load in the basin were calculated.The results indicate that:The runoff and sediment load at each hydrological station show a significant correlation at the significance level of P<0.01,with the strongest correlation observed at the Lijin hydrological station in the lower reach(Pearson and Kendall rank correlation coefficients were 0.958 and 0.823,respectively).The Gumbel and Gaussian Copula functions are found to be the most suitable for describing the two-dimensional joint distribution of runoff and sediment transport load within each hydrological station and the three-dimensional joint distribution of runoff or sediment transport load across different hydrological stations,respectively.At the hydrological station scale,the synchronous probabilities of runoff and sediment transport load are relatively high,with the maximum synchronous probability(77.35%)recorded at the Lijin hydrological station in the lower reach,following the order of simultaneous abundance>simultaneous normal>simultaneous deficiency.Among asynchronous encounters,the combi-nation of"one normal and one deficient"exhibits the highest probability.At the basin spatial scale,the asynchronous probabilities of abun-dant or deficient conditions for runoff or sediment transport load across different hydrological stations are significantly higher than the synchro-nous probabilities(asynchronous probabilities:70.80%for runoff,66.54%for sediment transport load).Among synchronous encounters,simultaneous abundance has the highest probability.In the Yellow River Basin,the encounter of abundant and deficient conditions for runoff and sediment transport load is primarily synchronous within individual hydrological stations but predominantly asynchronous across spatial scales.The strongest synchrony occurs in the lower reach,while the most significant asynchrony is observed in the middle reach.

李桂秋;窦明;王偲;张彦

郑州大学 水利与交通学院,河南 郑州 450001||郑州大学 生态与环境学院,河南 郑州 450001郑州大学 生态与环境学院,河南 郑州 450001江苏省水文水资源勘测局 南通分局,江苏 南通 226006中国农业科学院 农田灌溉研究所,河南 新乡 453002

天文与地球科学

Copula函数径流量输沙量丰枯遭遇风险概率黄河

Copula functionrunoff loadsediment loadrich-poor encounteringrisk probabilityYellow River

《人民黄河》 2026 (8)

55-61,68,8

河南省自然科学基金面上项目(242300421224)河南省科技攻关项目(222102320211)国家重点研发计划项目(2024YFC3211301)

10.3969/j.issn.1000-1379.2026.08.009

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