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基于 Copula 函数的叶尔羌河流域洪水要素联合分布研究
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节水灌溉
March 13, 2025
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中文
China Rural Water and Hydropower
››
2019
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(4)
: 74-79.
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Received
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2018-10-11
2018-11-05
2019-04-15
Issue Date
2019-12-11
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References
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[2] 杨卫, 张利平, 闪丽洁, 等. 汉江流域极端水文事件时空分布特征[J]. 气候变化研究进展, 2015, 11(1): 15-21.
[3] 范嘉炜, 黄锦林. 基于Copula函数的洪峰流量与洪水历时联合分布研究[J]. 中国农村水利水电, 2017, (2): 204-209+214.
[4] 侯芸芸. 基于Copula函数的多变量洪水频率计算研究[D]. 西安: 西北农林科技大学, 2010: 1-7.
[5] 张冬冬, 鲁帆, 严登华, 等. 基于Archimedean Copula函数的洪水多要素联合概率分布研究[J]. 中国农村水利水电, 2015, (1): 68-74+79.
[6] 李天元, 郭生练, 罗启华. 双参数Copula函数在洪水联合分布中的应用研究[J]. 水文, 2011, 31(5): 24-28+46.
[7] 林娴, 欧阳昊, 陈晓宏, 等. 基于Copula函数的组合变量联合概率分布研究及应用[J]. 水文, 2017, 37(1): 1-7.
[8] 李大鸣,顾利军,高正廉, 等. 基于Copula函数的桃林口水库防洪风险分析[J]. 水利水电技术, 2017, 48(3): 158-164+170.
[9] 姚瑞虎, 覃光华, 丁晶, 等. 洪水二维变量重现期的探讨[J]. 水力发电学报, 2017, 36(10): 35-44.
[10] 杜江, 陈希镇, 于波. Archimedean Copula函数的参数估计[J]. 科学技术与工程, 2009, (3): 637-640.
[11] Yue S, Ouarda T, Bobee B, et al. The Gumbel mixed model for flood frequency analysis [J]. Journal of Hydrology, 1999, 226(1-2): 88-100.
[12] Yue S, A bivariate gamma distribution for use in multivariate flood frequency analysis [J]. Hydrological Processes, 2001, 15(6): 1033-1045.
[13] Beersma J J, Buishand T A. Joint probability of precipitation and discharge deficits in the Netherlands [J]. Water Resource Research, 2004, 40(12): W12508.
[14] Zhang L, Singh V P. Bivariate flood frequency analysis using the copula method [J]. Journal of Hydrology Engineering, 2006, 11(2): 150-164.
[15] Zhang L, Singh V P. Bivariate rainfall frequency distributions using Archimedean copulas [J]. Journal of Hydrology, 2007, 332(1-2): 93-109.
[16] 孙鹏, 张强, 陈晓宏. 基于Copula函数的鄱阳湖流域极值流量遭遇频率及灾害风险[J]. 湖泊科学, 2011, (2): 183-190.
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