降雨资料Kriging与IDW插值对比分析—以漓江流域为例

降水空间化信息在很多领域都具有重要意义,而进行空间插值方法形成降水空间化信息是当代较为常用的方式。面对众多的插值方法其插值精度成为我们是否采用的关键,就kirging插值法与IDW(Inverse Distance Weighting)插值进行研究以探讨其插值效果,为此类科学研究提供依据。研究以漓江流域内各气象站点降水统计资料为基础分别采用上述两种方法进行插值处理,通过与预留实测站点比较评判方法的插值效果的优劣。结果表明,多年月平均降水量作为时间步长时,降水丰沛的月份使用kriging插值法较优于IDW插值法,而枯水月份则使用IDW插值法较优于kriging插值法。

Comparison between Kirging Interpolation Method and Inverse Distance Weighting Tension for Precipitation Data Analysis: Taking Lijiang River Basin As A Study Case

Precipitation spatial information is very important in many fields, for which the various spatial interpolation methods are usually used. The paper compared Kirging interpolation method and IDW (Inverse Distance Weighting) to analyze the interpolation results. The two method were used to make interpolation processing the precipitation data from the meteorological stations in the Lijiang River Basin, and to discuss their relative merits and applicable conditions by comparing the observed and interpolated values. The results show that when the mean monthly precipitation is regarded as time step, Kriging interpolation method is better than IDW in months with abundant precipitation, whereas, IDW is prior to Kriging interpolation method in dry months.