ZHAO Bingxue,WANG Lei,CHENG Dongya.Comparison of Spatial Interpolation Method for Meteorological Data and Distribution Characteristic in Anhui Province[J].Research of Soil and Water Conservation,2017,24(03):141-145.
安徽省气象数据空间插值方法比较与分布特征
- Title:
- Comparison of Spatial Interpolation Method for Meteorological Data and Distribution Characteristic in Anhui Province
- Keywords:
- GIS; precipitation; temperature; spatial interpolation
- 分类号:
- P468
- 摘要:
- 以安徽省境内80个气象站点2011—2014年的降水量和2015年的逐日气温数据为基础，结合该区30 m的DEM数据，选取反距离权重加权法（IDW）、径向基函数法（RBF）、普通克里金法（OK）和协同克里金法（CK）对降水和气温数据分别进行了空间插值，并对模拟结果进行了交叉验证。结果表明：考虑了纬度和高程的协同克里金插值效果最好，降水和气温的插值误差排序均为：CK < OK < RBF < IDW，并对插值结果进行分析，发现研究区降水和气温空间分布均呈现由南向北逐渐递减的特点，并与经纬度、高程进行相关系数和回归分析，表明气象要素纬度地带性显著，降水量主要由纬度和高程决定，气温则主要受纬度的影响，月均气温与经度和纬度有一定的季节性规律。
- Abstract:
- By using the precipitation data from 2011 to 2014 and the daily temperature data in 2015 in 80 meteorological stations in Anhui Province, combining with the DEM data of 30 m, we selected inverse distance weighting (IDW), radial basis function (RBF), ordinary Kriging (OK) and collaborative Kriging (CK) to interpolate the precipitation and temperature, and compared with simulation results using cross validation method. The results show that the CK considering latitude and elevation has the most effective, error estimates of precipitation and temperature are: CK < OK < RBF < IDW, by analyzing the precipitation results, the precipitation and temperature show a trend of gradually increasing from the south to the north, and present a clear zonal latitude, the precipitation is mainly decided by latitude and elevation, the temperature is mainly affected by latitude, monthly average temperature has certain seasonal patterns with longitude and latitude.
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备注/Memo
收稿日期:2016-06-13;改回日期:2016-06-22。
基金项目:池州学院研究中心资助项目（XKY201506）；池州学院教学研究资助项目（2015jyxm29）
作者简介:赵冰雪(1988-),女,安徽淮北人,硕士,讲师,主要从事GIS和RS的教学与应用研究。E-mail:zhaobingxue302@126.com