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潮白河流域位于海河流域的上游,也是北京市重要水源地密云水库的上游．近年来,密云水库的入流呈急剧下降的趋势,已经严重威胁北京市城市供水的安全．为深入理解密云水库来水急剧减少的影响原因,进行水文要素的时空变异分析是十分重要和必要的．传统的变异方法主要采用变异系数．结合信息熵理论与新兴的GIS技术,提出一种基于差异信息测度的普通序列和栅格序列的信息理论与方法,并应用于潮自河流域1973～2002年58测站的降雨数据和2个入库流量数据的分析．结果表明,该方法是可行有效的,同时也显示,降雨的时空变异不是造成潮白河流域流量剧减的主要原因．
Chaobai River Basin is located in the upper reaches of the Haihe River Basin, is also an important source of water in Miyun Reservoir upstream. In recent years, the influx of Miyun Reservoir has shown a sharp downward trend, which has seriously threatened the safety of urban water supply in Beijing. It is very important and necessary to carry on the spatio-temporal variation analysis of hydrological elements in order to understand deeply the causes of the sharp decrease of water come from Miyun Reservoir. The traditional method of variation mainly uses the coefficient of variation. Combined with the theory of information entropy and the emerging GIS technology, this paper proposes an information theory and method of ordinary sequence and grid sequence based on the difference information measure, and applies it to rainfall data of 58 stations in 1973 and 2002 in the Trizan River Basin and two Analysis of storage flow data. The results show that this method is feasible and effective, and also shows that the spatio-temporal variation of rainfall is not the main reason causing the drastic reduction of flow in Chaobaihe River Basin.