南水北调与水利科技Issue(2)：236-240,5.DOI:10.13476/j.cnki.nsbdqk.2015.02.010
基于粗糙集和BP神经网络组合法的水资源承载力动态变化分析
Dynamic variation analysis of water resources carrying capaci ty in Xiamen City based on rough set theory and BP neural network
摘要
Abstract
Evaluation of water resources carrying capacity is the foundation of regional ecological environment construction and is important for determining the direction of socio-economic development.In the paper,redundant indicators were screened by the rough set theory, and then the reduced index systeMwas served as input to the BP neural network to evaluate the dynamic change of carrying capacity of water resources in Xiamen City. Based on the investigation of water resources and related influen-cing factors, the evaluation index systeMof water resources carrying capacity was constructed froMfour aspects including water resources system, economic system, ecological system, and social system, and the dynamic change of water resources carrying ca-pacity in Xiamen City froM2000 to 2012 was evaluated. The results showed that the water resources carrying capacity in Xiamen City was weak and unsustainable froM2000 to 2004;was weakly sustainable froM2005 to 2010, indicating incompatible status between socio-economic activity and water resources;and was improved froM2011 to 2012 to reach the sustainable status.关键词
水资源承载力/粗糙集/BP神经网络/厦门市Key words
water resources carrying capacity/rough set theory/BP neural network/Xiamen分类
建筑与水利引用本文复制引用
郭晓英,陈兴伟,陈莹,王壬..基于粗糙集和BP神经网络组合法的水资源承载力动态变化分析[J].南水北调与水利科技,2015,(2):236-240,5.基金项目
福建省科技厅重点项目(2013N 0013) （2013N 0013）
