摘要
用反距离权重法、普通克里金法、基于样条函数法和回归模型计算法对云南省内134个气象站1993—2007年年均降雨量进行空间插值,将插值预测结果与检测点数据作对比分析,结果表明:4种插值法均能反映云南省内年均降雨量的空间分布特征,反距离权重法插值误差最小,精度最高,回归模型模拟插值误差较大,但能直观地反映年均降雨量随地理位置及海拔高度立体变化而变化的特征。
The average annual precipitation data of 134 meteorological stations in Yunnan Province between 1993 and 2007 were treated by spatial interpolation with help of Inverse Distance Weighted method,the Ordinary Kriging method,the Anusplin Function method and Regression Model Calculation method,and then the predicted interpolation data and the observed data from the meteorological stations were comparatively analyzed.The results showed that the data obtained by all the four kinds of interpolation methods could basically reflect the spatial distribution features of the average annual precipitation of Yunnan Province.The Inverse Distance Weighted method had the minimum error and the highest interpolation precision.Although there was relatively greater error in the interpolation data,the Regression Model Calculation method could directly reflect the three-dimensional characteristics of the average annual precipitation that varied with the geographical location and the altitude of the meteorological stations.
出处
《西南林学院学报》
2010年第5期25-28,共4页
Journal of Southwest Forestry College
基金
国家科技支撑计划项目(2008BAD95B09)资助
关键词
空间插值
反距离权重法
回归模型计算
降雨
spatial interpolation
the inverse distance weighted method
regression model calculation
precipitation
