A comparison of spatial interpolation models for mapping rainfall erosivity on China mainland

被引：2
|
作者：
Ma, Liang [1 ]
Zuo, Changqing [1 ]
机构：
[1] Water Resources Res Inst Shandong Prov, Jinan 250013, Peoples R China
来源：
ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6 | 2012年 / 518-523卷
关键词：
thin plate smoothing spline; spatial interpolation; rainfall erosivity; Anusplin; PRECIPITATION; VARIABILITY; VARIABLES; REGIONS;
D O I：
10.4028/www.scientific.net/AMR.518-523.4489
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Rainfall erosivity is an essential factor to reveal the response of water erosion to precipitation changes, and its spatial variation reveals erosion regional difference and water conservation regionalization. In this research, average annual rainfall erosivity in 1951 -2008 on China mainland is calculated through daily precipitation data from 711 meteorological stations. Precisions of 29 spatial interpolation models are quantitative compared including inverse distance weighting (IDW), radial basis function (RBF), kriging, cokriging (CK) and thin plate smoothing spline (TPS). Three variables cubic TPS is confirmed the optimum spatial interpolation model to rainfall erosivity on a large scale.
引用
收藏
页码：4489 / +
页数：2
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