摘要
基于张义改进模型中的水环境账户模型,单独考虑水污染生态赤字及水环境生态压力情况,比较我国西、中、东部地区的人均水环境状况,选取包括人口素质、环境污染程度以及环境治理等绿色发展因子,考察生活和生产用水环节之外的水环境生态压力隐性因素。通过相关性分析、因子分析考察对水环境压力影响较为显著的因子,神经网络预测的结果表明,地区发展水平为影响水环境压力指数的首要变量,其次是资源承载度,政府支持度和资源利用效率,在此分析结果的基础上为缓解地区水环境压力提出合理建议。
Based on the water environment account model in Zhang Yi ’s improved model,considering the water pollution ecological deficit and the water environment ecological pressure situation separately,comparing the per capita water environment situation in the western,middle and eastern regions of China,selecting the green development factors including population quality, environmental pollution degree and environmental control, this paper examines the recessive factors of water environment ecological pressure outside the water use link of life and production. Based on the analysis results,reasonable suggestions are put forward to relieve the regional water environment pressure. The results of neural network prediction show that the regional development level is the primary variable affecting the water environment pressure index,followed by the resource carrying capacity,government support and resource utilization efficiency. On the basis of the analysis,some reasonable suggestions are put forward to relieve the pressure of regional water environment.
作者
王荣森
吴蓉
WANG Rong-sen;WU Rong(School of Management,University of Science and Technology China,Hefei 230026,China)
出处
《黑龙江科学》
2020年第6期14-18,21,共6页
Heilongjiang Science
关键词
水环境生态压力指数
绿色因子
因子分析
神经网络预测
Water environment ecological pressure index
Green factor
Factor analysis
Neural network prediction
