信息熵在水文水资源科学中的研究进展

Research Progress of Information Entropy in Hydrology and Water Resources Science

在介绍信息熵的基本概念与相关原理的基础上,主要从水文序列分析、站网布设评估、水文预报、水质评价、水资源评估等方面,对信息熵在水文水资源科学中近15年的研究进展进行了综述。信息熵原理能够最大化地利用现有的数据,并且允许采用基于经验的主观信息方法。现有的研究成果表明,基于信息熵原理的研究手段在解决水文相关问题的过程中发挥了重要作用,具有广阔的应用前景。未来需要将信息熵和Copula函数有机地结合起来,以解决信息熵理论在联合概率密度选择上的局限性问题。

The concept and theory of information entropy are introduced briefly, and a review is given on the application of information entropy in recent decades ranging from the fields of runoff series simulation and analysis, evaluation of gauge networks, hydrological forecasting, water quality evaluation, water resources assessment. The information entropy not only makes the most of present datasets, but also permits the existence of subjective information based on experience. Present research results also recommend that the information entropy-based method is becoming more and more important and playing a greater role in hydrological studies. In future, the information entropy can be combined with Copula function in order to deal with the limitation of estimating multidimensional joint probability function by only using information entropy method, which will deserve a broad prospect.