首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多变量时间剩余协克立格模型理论及其在水文数据分析中的应用
引用本文:刘小燕,刘廷玺,刘晓革.多变量时间剩余协克立格模型理论及其在水文数据分析中的应用[J].内蒙古农业大学学报(自然科学版),2001,22(3):93-99.
作者姓名:刘小燕  刘廷玺  刘晓革
作者单位:内蒙古农业大学水利与土木建筑工程学院,乌盟水利局
基金项目:国家自然科学基金项目 (39360 0 0 5)
摘    要:本文将随机水文学和多变量地质统计学相结合,提出了多变量时间剩余协克立格模型。该模型将水文变量的周期性成分和趋势性成分视为确定性分量从原始各测站水文时间序列中剔除,剔除剩下的剩余值属于时空随机函数,从而以这种剩余值作为研究变量去刻划原水文变量的时空相关特征。该模型可用于水文变量的插补延展和短期预报,具有较高的精度。

关 键 词:随机函数  协克立格模型  多变量时间剩余  变差函数  协方差函数  水文数据
文章编号:1009-3575(2001)03-0093-07
修稿时间:2001年6月25日

A THEORY OF MULTIVARIATE TIME-RESIDUAL COKRIGING MODE AND ITS APPLICATION TO HYDROLOGICAL DATA ANALYSIS
LIU Xiao-yan,Chaolunbagen,LIU Ting-xi,LIU Xiao-ge.A THEORY OF MULTIVARIATE TIME-RESIDUAL COKRIGING MODE AND ITS APPLICATION TO HYDROLOGICAL DATA ANALYSIS[J].Journal of Inner Mongolia Agricultural University(Natural Science Edition),2001,22(3):93-99.
Authors:LIU Xiao-yan  Chaolunbagen  LIU Ting-xi  LIU Xiao-ge
Abstract:A multivariate time-residual cokriging model was presented in this paper by means of combining Stochastic Hydrology with Multivariate Geostatistics.The periodic and trend component of hydrology variable were treaded as determinacy variables.Spatial and temporal correlation characters of original hydrology variable were described by random function which are defference between hydrology time series at hydrology stations and their periodic and trend components.The model is easy to insert and extend the hydrology variables and to take short period forecastion with high accuracy.
Keywords:Random function  Cokriging model  Multivariate time-Residual  Variogram  Covariance function  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号