一定区域范围内,近地层气象因子往往是在统一的构造背景控制下形成的,降水、气温、蒸发等气象因子具有自相似性特点。以广东省东江流域内29个雨量观测站点1956—2005年月平均降水资料为样本,运用信息熵原理中有向信息传输指数研究了雨量观测站点之间的信息传输特征,并结合聚类分析方法界定各观测站的所属关系,提出了基于信息熵原理的流域降水空间分布模式识别方法,从而为流域水文要素空间分布模式识别和水资源利用方案提供重要理论和实践依据。
Since surface atmospheric meteorological factors are formed against the same tectonic background in a certain area, self-similarity is shared among meteorological factors such as rainfall, temperature, evaporation. The average rainfalls were collected from 29 rainfall observation stations in the Dongjiang Basin of Guangdong Province from 1956 to 2005 for studying the features of information transfer among different stations using transfer index of directional information entropy theory. Cluster analysis is applied to define the relationship between stations. Based on information entropy theory, a mode identifi- cation method of spatial rainfall distribution was proposed for providing theoretical and practical basis for mode identification of spatial distribution of hydrological factors and water resources utilization plans.