摘要
在分析水环境承载力概念及人工神经网络技术基础之上,从阈值角度出发,建立了基于人工神经网络的区域水环境承载力评价模型,并将其应用于辽宁省水环境承载力评价,通过模型计算得到该省水环境承载能力指数。结果表明,2000—2004年,辽宁省水环境承载能力指数分别为0·29、0·36、0·32、0·37和0·43,整体上呈上升趋势,但承载力依然较弱。本文提出的水环境承载力评价模型具有结构简单、建模方便的特点,评价结果可以直观地反映区域水环境承载状态。
Based on the concept of water environment carrying capacity and by using artificial neural network, the evaluation model of regional water environment carrying capacity was built from the viewpoint of thresholds, and applied to evaluate the water environment carrying capacity in Liaoning Province. The calculations with the model showed that from 2000 to 2004, the index of water environment carrying capacity in Liaoning Province was 0.29, 0. 36, 0. 32, 0. 37 and 0. 43, respectively, suggesting that the water environment carrying capacity in this province was ascending on the whole, but still weak. The model built in this paper had the specialties of simple structure and easily modeling, with which, the regional water environment carrying capacity could be reflected intuitionally.
出处
《生态学杂志》
CAS
CSCD
北大核心
2007年第1期139-144,共6页
Chinese Journal of Ecology
基金
国家重点基础研究发展规划项目(2004CB418503)
国家自然科学基金重点项目(20337010)
辽宁省教育厅青年基金项目(05L160)
辽宁省博士启动基金资助项目(20061024)
关键词
水环境承载力
神经网络
指标体系
评价模型
water environment carrying capacity
neural network
indicator system
evaluationmodel.
