2005Unpublished venueRequires access

Comparison and improvement of spatial rainfall interpolation methods

Rui Xiao-fang

Open publisher page 7 citations

Abstract

A comparison was made on several spatial rainfall interpolation methods commonly used, including the Thiessen polygon method, the reverse distance weighting method and the ordinary Kriging method. In consideration of great influences of the elevation information, it was taken as an influencing factor of the second class, and introduced into the Co-Kriging method for spatial rainfall interpolation, and a new Co-Kriging method was put forward. The application of the three methods, the reverse distance weighting method, the ordinary Kriging method and the new Co-Kriging method, to rainfall interpolation calculation for the Yanduhe River Basin shows that the effect of the last one is obviously superior to the other two methods.

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What this paper is about

A comparison was made on several spatial rainfall interpolation methods commonly used, including the Thiessen polygon method, the reverse distance weighting method and the ordinary Kriging method. In consideration of great influences of the elevation information, it was taken as an influencing factor of the second class, and introduced into the Co-Kriging method for spatial rainfall interpolation, and a new Co-Kriging method was put forward. The application of the three methods, the reverse distance weighting method, the ordinary Kriging method and the new Co-Kriging method, to rainfall interpolation calculation for the Yanduhe River Basin shows that the effect of the last one is obviously superior to the other two methods.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A comparison was made on several spatial rainfall interpolation methods commonly used, including the Thiessen polygon method, the reverse distance weighting method and the ordinary Kriging method. In consideration of great influences of the elevation information, it was taken as an influencing factor of the second class, and introduced into the Co-Kriging method for spatial rainfall interpolation, and a new Co-Kriging method was put forward. The application of the three methods, the reverse distance weighting method, the ordinary Kriging method and the new Co-Kriging method, to rainfall interpolation calculation for the Yanduhe River Basin shows that the effect of the last one is obviously superior to the other two methods.

Key concepts: Kriging, Interpolation (computer graphics), Multivariate interpolation, Polygon (computer graphics), Weighting, Nearest-neighbor interpolation, Inverse distance weighting, Mathematics

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