A Comparison of Spatial Interpolation Models for Mapping Rainfall Erosivity on China Mainland

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 518-523)
• Pages: 4489-4495
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.518-523.4489
• Online since: May 2012
• Authors: Liang Ma, Chang Qing Zuo
• Keywords: Anusplin, Rainfall Erosivity, Spatial Interpolation, Thin Plate Smoothing Spline

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