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站点密度对复杂地形PRISM月降雨空间插值精度的影响

蒋育昊 刘鹏举 夏智武 许等平 张英凯

南京林业大学学报(自然科学版)2017,Vol.41Issue(4):115-120,6.
南京林业大学学报(自然科学版)2017,Vol.41Issue(4):115-120,6.DOI:10.3969/j.issn.1000-2006.201603045

站点密度对复杂地形PRISM月降雨空间插值精度的影响

Effects of spatial station density on accuracy of spatial interpolation of monthly rainfall over complex terrain base on PRISM

蒋育昊 1刘鹏举 1夏智武 1许等平 2张英凯1

作者信息

  • 1. 中国林业科学研究院资源信息研究所,北京100091
  • 2. 国家林业局调查规划设计院,北京100714
  • 折叠

摘要

Abstract

[Objective] Investigate the influence of station density on the accuracy of PRISM interpolation,in order to elucidatethe model's scope of application.[Method] Based on the DEM of the northwest mountains of Beijing and rainfall data from the mountain automatic weather stations to calculate the result of interpolation.These results were then compared with the IDW,Kriging and Spline interpolation models using cross validation and test data validation.[Result] The precision of interpolation was reduced when site density was reduced from 0.55× 10-2 to 0.18× 10-2 sites/km2 but was reduced most when using the PRISM model and least when using the Spline model.Furthermore,when the site density was reduced to 0.18× 10-2 sites/km2,the error of the PRISM model was less than that of the Spline model,but still greater than the Kriging and IDW models.[Conclusion] The present study suggests that the IDW and Kriging models should be used when stations are sparse.

关键词

站点密度/坡面回归方程模型/降雨/空间插值/精度

Key words

spatial stations density/PRISM/rainfall/spatial interpolation/precision

分类

农业科技

引用本文复制引用

蒋育昊,刘鹏举,夏智武,许等平,张英凯..站点密度对复杂地形PRISM月降雨空间插值精度的影响[J].南京林业大学学报(自然科学版),2017,41(4):115-120,6.

基金项目

国家高技术研究发展计划(2012AA102001-2) (2012AA102001-2)

南京林业大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-2006

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