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《Journal of Liaoning Technical University(Natural Science)》 2011-04
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Application of Bivariate analysis on flooding in flood season

HAO Zhenchun,DUAN Xiaolan (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University,Nanjing 210098,China)  
In order to better describe the characteristics of runoff under the context of climate change,the Copula function was adopted to investigate the dependency and pluralism between hydrology events in this study.The flooding data in flood season during the period of 1915 to 2008 in Huaihe basin were collected and analyzed.Both the margin distribution of the flooding volume and the maximum flow in flood season was simulated using Type I Gumbel distribution,and the Gumbel-Hougard Copula was used to show the relationship.The study shows that the bivariate distribution simulations honor the empirical probability very well.Also in this paper,the concept of hydrologic scene was presented to demonstrate the uncertainty and consociation of hydrology events,and provide a more overall mean for decision making.The joint return period was considered to be the interval estimation of traditional return period.From the distribution model and the isolines of return period,it can distinguish the flood magnitude,to some degree,be used as a new way to analyze flooding risk and engineering design.
【Fund】: 国家重点基础研究发展计划基金资助项目(2010CB951101);; 国家自然科学基金资助项目(40830639;50879016;40801012);; 水利部公益性基金资助项目(200801027);; 水文水资源与水利工程科学国家重点实验室专项基金资助项目(1069-50985512)
【CateGory Index】: P333.2
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 JU Qin1,HAO Zhen-chun1,YU Zhong-bo1,ZHU Chang-jun1,LIU De-dong1(1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China);Study on rainfall-runoff simulation based on artificial neural networks[J];Journal of Liaoning Technical University;2007-06
2 FANG Bin1,2,GUO Sheng-lian1,XIAO Yi1,LIU Pan1,WU Jian3(1.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,China;2.Power Dispatching and Communication Center of China Southern Power Grid,Guangzhou 510623,China;3.Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450000,China);Annual maximum flood occurrence dates and magnitudes frequency analysis based on bivariate joint distribution[J];Advances in Water Science;2008-04
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【Co-citations】
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1 NIU Jun-yi,FENG Ping,DING Zhi-hong School of Civil Engineering,Tianjin University,Tianjin 300072,China;Study of the Wetness-Dryness Compensation Characteristics of Luan River Diversion Reservoirs' Inflow Based on Multivariate Copula Functions[J];Journal of Jilin University(Earth Science Edition);2009-06
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