基于GRACE数据的陆地水储量空间插值方法研究——以科尔沁沙地为例  

A Study of Spatial Interpolation Method Based on the GRACE Satellite Data of Land Water Reserves:In Horqin Sandy Land as an Example

作　　者：肖涛[1] 韩广[1] 

机构地区：[1]湖南师范大学资源与环境科学学院,湖南长沙410081

出　　处：《测绘与空间地理信息》2016年第12期22-25,共4页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金项目(41271025);湖南省重点学科(地理学)建设项目(2012001)资助

摘　　要：在地统计学函数模型和地理信息系统技术的支持下,本文利用多种插值方法对GRACE重力卫星解算出的水储量数据进行空间插值方法精度研究,并探讨了科尔沁沙地的水储量空间分布特征。结果表明:1)总体上看,地统计学插值方法优于确定性插值法的反距离权重插值、径向基插值、全局多项式插值和局部多项式插值;2)在地统计学方法中,仅引入高程数据插值,精度并没有提高,综合考虑高程和降水量的协同克里格插值方法的误差最小,插值精度最好。利用协同克里格插值法插值得到科尔沁沙地的水储量空间分布图,由图可知,科尔沁沙地的水储量呈现由南向北增加的空间分布特征。In the support of statistical function model and the geographic information system technology, using a variety of interpolation methods for water reserves calculated by GRACE satellite gravity data for spatial interpolation of research, studied the spatial distribu- tion characteristics of water reserves in Horqin sandy. The results show that ： （ 1 ） On the whole, Statistical interpolation method is bet- ter than the inverse distance weighted interpolation, the radial basis interpolation, global polynomial interpolation and local polynomial interpolation of Deterministic interpolation method ; （2） In the statistical method, comprehensive consideration of elevation and precip- itation, the collaborative kriging interpolation method is minimum error, and the interpolation accuracy is best.. Collaborative kriging interpolation method is used to get the Horqin space distribution of water reserves, the figure shows that Horqin sandy water reserves is the spatial distribution features of increased from south to north.

关 键 词：科尔沁沙地 水储量 空间插值 协同克里格 

分 类 号：P208[天文地球—地图制图学与地理信息工程]