多时段泛克立格模型在降水量数据插补中的应用  

The Application of the Universal Kriging Spatial Estimation with Multiple Time Period for Interpolating Missed Annual Precipitation Data

作　　者：刘小燕[1] 朝伦巴根[1] 王亮[1] 王海玲 

机构地区：[1]内蒙古农业大学水利与土木建筑工程学院,内蒙古呼和浩特010018 [2]内蒙古自治区水文总局,内蒙古呼和浩特010010

出　　处：《中国农村水利水电》2010年第1期34-38,共5页China Rural Water and Hydropower

基　　金：国家自然科学基金资助项目(50139040);博士后基金资助(32830)

摘　　要：多时段泛克立格模型是研究水文随机函数最优估计和空间预报的比较优越的方法。针对水文数据在时间上缺乏而空间上富足的特点,为了较好地解决小流域或局部区域内少站点情况下水文变量的最优估计问题,本文用多时段泛克立格模型对滦河内蒙古段闪电河流域各测站年降水量缺测资料进行了插补并在流域内进行了空间插值预报,结果表明插值预报精度较高,所得结论比较可信。The universal kriging spatial estimation with multiple time period is one of the best methods in studying optimal estimation and spatial forecasting of hydraulic random function. The characteristic of hydraulic data is limited in time while plentiful in space, in order to solve the problem of optimal estimation in small drainage area with few stations, the method is used in this paper to interpo- late missed annual precipitation data of each station and to forecast data in space in Shandian River drainage area. The obtained re- suits are reasonable.

关 键 词：随机函数 泛克立格法 水文系列插补 空间插值预报 

分 类 号：TV124[水利工程—水文学及水资源]