2010Journal of Nanjing University of Information Science & TechnologyRequires access

Application of spatial interpolation in rainfall distribution analysis

Yue Liu

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Abstract

With the increasing need of spatial precipitation information,spatial interpolation method of precipitation is widely used.Different interpolation methods applied in different areas will produce different results.The best interpolation method should be obtained by comparing different interpolation methods in various areas.Using precipitation data of January from 1999 to 2008 of 12 cities of Jiangsu Province,like Nanjing,Wuxi etc.,we interpolate the precipitation data of Yangzhou of the same period with Ordinary Kriging and Inverse Distance Weighting.The result showed that Ordinary Kriging method is more suitable than Inverse Distance Weighting in the whole analysis.

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What this paper is about

With the increasing need of spatial precipitation information,spatial interpolation method of precipitation is widely used.Different interpolation methods applied in different areas will produce different results.The best interpolation method should be obtained by comparing different interpolation methods in various areas.Using precipitation data of January from 1999 to 2008 of 12 cities of Jiangsu Province,like Nanjing,Wuxi etc.,we interpolate the precipitation data of Yangzhou of the same period with Ordinary Kriging and Inverse Distance Weighting.The result showed that Ordinary Kriging method is more suitable than Inverse Distance Weighting in the whole analysis.

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Available abstract

With the increasing need of spatial precipitation information,spatial interpolation method of precipitation is widely used.Different interpolation methods applied in different areas will produce different results.The best interpolation method should be obtained by comparing different interpolation methods in various areas.Using precipitation data of January from 1999 to 2008 of 12 cities of Jiangsu Province,like Nanjing,Wuxi etc.,we interpolate the precipitation data of Yangzhou of the same period with Ordinary Kriging and Inverse Distance Weighting.The result showed that Ordinary Kriging method is more suitable than Inverse Distance Weighting in the whole analysis.

Key concepts: Inverse distance weighting, Kriging, Interpolation (computer graphics), Multivariate interpolation, Weighting, Precipitation, Inverse, Spatial distribution

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