Monthly Rainfall Simulation of Suqian Section of the Ancient Yellow River Based on Maximum Entropy Copula Method
In order to solve the problem that the Copula function method should first select the function type and re-tain the correlation in the multivariate hydrological simulation in the fitting process,this paper directly constructs the Copula function based on the maximum entropy principle(POME),without the need to optimize the Copula function type,which simplifies the fitting process of the joint probability distribution function.The monthly rainfall data of the three rainfall stations of Zaohe station,Jinsuo station and Siyang station in the Suqian section of the ancient Yellow River in 39 years are taken as the research object,and the case analysis is carried out.By establishing the joint distribution of rainfall between different sites,the validity of the maximum entropy copula method is tested,and the Gibbs sampling method is used to randomly simulate the monthly rainfall.The results show that the maximum entropy Copula method can retain the statistical characteristics of the rainfall sequence of each station and the rainfall correlation between different stations,which verifies the effectiveness of this method.Thus,it provides a reference for the analysis of rainfall correla-tion between multiple stations in the basin and the planning and utilization of water resources.
maximum entropy principleCopula functionjoint distribution functionmonthly rainfall
万方数据
维普
