基于信息熵技术对地下水观测网的层次分类--以河北平原地下水观测网为例

针对目前地下水观测网存在的层次不清问题，提出了基于信息熵技术的新的分类方法。列举了观测网层次混乱问题的表现、原因和可能造成的后果，提出地下水观测网具有层次性，而且这种层次性必须与地下水流动系统的层次性对应；认为地下水观测网就是一种信号通讯网，水位信号具有可传递性、差异性以及衰减性等特征，可以运用信息熵理论中的互信息概念定量刻画观测孔之间的信息联系，并以这种信息联系程度作为观测孔层次分类的主要依据；以河北平原地下水观测网为例，研究了区域尺度和局部尺度观测网的分类，结果表明信息熵方法可以很好地解决此类问题。

ENTROPY-BASED GROUPING OF GROUNDWATER MONITORING NETWORKS

The monitoring network with a clear hierarchical structure is essential for water resources evaluation,management and decision making.To construct the relationships between monitoring wells,the flow system analysis is recommended because the hierarchy of monitoring network well corresponds with the hierarchical structures of groundwater flow systems.The monitoring network could be considered as a communicating network,while entropy based method is proposed as a tool to re group those mixed monitoring wells.This article introduces the basic concepts about the entropy and information transfer,and a method based on entropy and information transfer to group those monitoring wells of networks.The method is demonstrated in the case study of groundwater level data from Hebei Plain,China,where the groundwater is the main water supply.