多时间尺度下Kriging与IDW空间插值方法的适用性研究  

Applicability of Kriging and IDW Spatial Interpolation Methods on Multiple Time Scales

作　　者：肇毓锋 吴奇[2] ZHAO Yu-feng;WU Qi(Liaoning Provincial Water Resources Affairs Service Center,Shenyang 110003,China;Shenyang Agricultural University,Shenyang 110866,China)

机构地区：[1]辽宁省水利事务服务中心,沈阳110003 [2]沈阳农业大学,沈阳110866

出　　处：《黑龙江水利科技》2020年第11期9-14,共6页Heilongjiang Hydraulic Science and Technology

摘　　要：在不同时间尺度下对比分析多种空间插值数据处理方法对于筛选出地区适用性空间插值技术和准确评估区域空间变异性具有重要的意义。文章选取吉林西部平原区作为研究区域,利用其内部共12个降雨量测量站点数据,基于IDW和Kriging的空间分析方法,分析降水量的空间分布特征,通过引入MAE和RMSE两种误差评价指标,研究分析两种空间插值方法的优劣。经过数据分析,得到以下结论:吉林西部平原区的降雨量呈整体下降趋势,其中以4-9月份生长季降雨量下降更为明显。在考虑年际与生长季两个时间尺度的基础上,在地区基于Kriging法的空间结果优于IDW法。The comparative analysis of multiple spatial interpolation data processing methods at different time scales is of great significance for screening out regional applicability spatial interpolation techniques and accurately assessing regional spatial variability.In this paper,the western plain area of Jilin is selected as the research area,and the data of the 12 rainfall measurement stations inside it are used to analyze the annual rainfall and the growing season rainfall of the western plain area of Jilin.Based on the spatial analysis method of IDW and Kriging,we introduced two error evaluation indexes of MAE and RMSE so as to study and analyze the advantages and disadvantages of the two spatial interpolation methods.In summary,the rainfall in the western plains of Jilin showed an overall downward trend after data analysis,,of which the rainfall in the growing season from April to September decreased more significantly.Based on the two time scales of inter-annual and growing season,the spatial result based on Kriging method is better than IDW method in the region.

关 键 词：降雨 IDW KRIGING MAE RMSE 

分 类 号：TV125[水利工程—水文学及水资源]