基于Copulas函数的干旱特征变量联合概率分析  

An Analysis of the Multivariate Joint Distribution of Drought Characteristics Based on Copulas

作　　者：曾智[1] 宋松柏[1] 李扬[1] 陈子全[1] 

机构地区：[1]西北农林科技大学水利与建筑工程学院,陕西杨凌712100

出　　处：《中国农村水利水电》2011年第12期86-90,共5页China Rural Water and Hydropower

基　　金：国家自然科学基金项目(50879070;50579065;51079037);水利部公益行业科研专项(201001043)

摘　　要：采用Frank和Gaussian copulas函数分析二维干旱特征变量联合分布,构建Frank pair-copula、Gaussiancopula、M3copula函数,对比分析三维干旱联合特性。以渭河流域华阴站降雨资料为例,表明copulas函数能够很好地描述多变量干旱联合特性,体现了copulas函数在多变量联合特性研究中的可行性和适用性。Frank and Gaussian copulas are used to analyze two-dimensional joint distribution of drought variables. Frank pair-copula, Gaussian copula and M3 copula functions are established to compare and analyze three-dimensional joint distribution of drought variables. Taking the monthly precipitation data of Huayin Gauge Station located in the Weihe River Basin as an example to indicate copulas can well describe the multivariate joint drought characteristics and reflect the feasibility and applicability of copulas in the study of multivariate joint characteristics.

关 键 词：COPULAS 多变量 干旱特性 重现期 

分 类 号：P333[天文地球—水文科学]