基于差异序列信息熵的降雨分区研究

充分挖掘降雨变量语法信息,利用基于差异序列信息熵测度理论的遗传算法聚类分析方法,对淮河流域蚌埠站以上区域99个雨量站进行了分区研究。根据各子区域内雨量站降雨序列差异测度得到最优分区,从而使得降雨信息在区域内具有较大的同质性。最后,以插值精度为标准,将不分区的情况为参照对象,对2、4、8三种分区结果进行校验,结果显示,相对于不分区,分区明显提升了降雨插值的精度。

Study on Precipitation Regionalization Base on Diversity Sequence Information Entropy

This paper fully dug the grammatical information of the rainfall as a variable, used the way of genetic algorithm clustering based on diversity sequence information entropy measure theory; and made regionalization research on the 99 precipitation sta -tions above the Bengbu Station in the Huaihe River Basin. The optimal classification was obtained based on the measures of therainfall sequences of the precipitation stations in the various sub-regions. Therefore, the research objective of high homogeneity a -mong the rainfall information in the sub-regions was achieved. Finally, the 3 classifications of 2, 4 and 8 were checked by usingthe accuracy of interpolation, and taking un-categorization as reference object. The results show that the classification can improvethe accuracy of rainfall interpolation.