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多时段泛克立格模型在降水量数据插补中的应用
引用本文:刘小燕,朝伦巴根,王亮,王海玲. 多时段泛克立格模型在降水量数据插补中的应用[J]. 中国农村水利水电, 2010, 0(1): 34-38
作者姓名:刘小燕  朝伦巴根  王亮  王海玲
作者单位: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
基金项目: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。

关 键 词:随机函数  泛克立格法  水文系列插补  空间插值预报

The Application of the Universal Kriging Spatial Estimation with Multiple Time Period for Interpolating Missed Annual Precipitation Data
LIU Xiao-yan , CHAOLUN Ba-gen , WANG Liang , WANG Hai-ling. The Application of the Universal Kriging Spatial Estimation with Multiple Time Period for Interpolating Missed Annual Precipitation Data[J]. China Rural Water and Hydropower, 2010, 0(1): 34-38
Authors:LIU Xiao-yan    CHAOLUN Ba-gen    WANG Liang    WANG Hai-ling
Affiliation:LIU Xiao-yan1,CHAOLUN Ba-gen1,WANG Liang1,WANG Hai-ling2(1.College of Hydraulic , Civil Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China,2.Inner Mongolia Hydrological Bureau,Hohhot 010010,China)
Abstract: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 interpolate missed annual precipitation data of each station and to forecast data in space in Shandian River drainage area.T...
Keywords:random function  universal kriging  interpolation of hydraulic data  forecast data in space  
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