摘要
采用青海省50个气象站点30年气候整编资料,分别应用克里格(Kriging)插值法和统计分析软件建立最低气温与地形的多元线性回归模型、多维二次趋势面模型,对青海省无测站地区500 m×500 m栅格单元的1、4、7、10月最低气温值进行了推算,制作了青海省最低气温的栅格图,分析了不同插值方法对青海省最低气温的插值效果。结果表明:1、4、10月份,多元线性回归模型法和多维二次趋势面模型法要优于克里格插值法;而7月份应用克里格法插值效果较好。
The multiple linear regression model and multiple linear regression model were established using Kriging interpolation method and Statistic Analysis Software based on the climate data in 30 years from 50 meteorological stations in Qinghai Province.Grid cell value with 500 m × 500 m of minimum temperature in January,April,July,October were calculated to produce a minimum temperature map of Qinghai Province.The effects of different interpolation methods were analyzed.Results showed that the multiple linear regression model and multi-dimensional quadratic trend surface model were better than the Kriging interpolation method in January,April and October;and Kriging interpolation method was better in July.
出处
《草业科学》
CAS
CSCD
北大核心
2010年第9期5-10,共6页
Pratacultural Science
关键词
最低气温
多元线性回归
多维二次趋势面
克里格插值法
minimum temperature
multiple linear regression
multi-dimensional quadratic trend surface
Kriging interpolation method
