基于信息熵的厦门市用水结构演变及其驱动力的灰色关联分析

基于1999-2010年厦门市水资源公报中农业用水、工业用水和生活用水数据,采用信息熵的方法描述用水结构的演变规律,运用灰色关联度分析影响用水结构演变的主要驱动力.结果表明:厦门市用水结构信息熵和协调度都于2006年起逼近于最大值,越接近最大值说明各部门间用水比重越趋于均衡,说明厦门用水结构系统趋向于无序、均衡的状态发展.灰色关联度反映了社会经济发展对用水结构的演变具有较强的影响,其中以产业结构对其的影响最为突出.

Analysis of grey relation degree based on water utilization evolution and driving force of information entropy in Xiamen

Based on the data including industrial, agricultural and daily domestic water consume from the communiques of water resources in Xiamen(1999-2010), information entropy was used to describe the process of water utilization structure. By use of grey relational degree analysis , the major driving forces of the change were found out. The results indicate that the information entropy and balance degree of water utilization structure in Xiamen is approaching to the maximum since 2006. The more the number is close to the maximum, the more the balance system becomes. Water utilization structure tends to disorder and equilibrium. Grey relational degree reflects that the socio-economic development has a strong impact on the evolution of water utilization structure, especially the industrial structure.