Spatial Interpolation Method of the Meteorological Factor in Northeast China Based on GIS

• 作者: LI Li-shuang ZHANG Ying
• 来源期刊: 气象与环境研究：英文版
• 学科: 地球科学
• 关键词: 中国东北地区 空间插值方法 GIS软件 气象要素 KRIGING方法 月平均气温 气象因子 年降雨量
• 年，卷（期）: 2012,（3）
• 页码范围: 23-25
• 页数: 3页
• 分类号: P208

摘要

[Objective]The research aimed to study the best spatial interpolation method of the meteorological factor in Northeast China.[Method] Based on geostatistical analysis tool of the ArcInfo GIS software,several spatial interpolation methods were used to estimate the meteorological factors(annual rainfall and monthly average temperature) in Northeast China,such as inverse distance weighted(IDW),radial basis function(RBF) and Kriging.Then,the best interpolation method of one meteorological factor was selected.[Result] For monthly average temperature,Kriging method was better than others.For annual rainfall,precision of the evaluated value with RBF method was higher than that of the IDW and Kriging methods.[Conclusion] There was obvious regional difference of the meteorological factor in Northeast China.Monthly average temperature in south was higher than that in north,and annual rainfall in southeast was more than that in northwest in Northeast China.