基于BP神经网络的城市化发展生态环境压力响应研究——以延安市为例

城市化是社会经济发展的必然趋势,城市化发展对城市生态环境产生的压力是制约城市化发展的一个重要因素。文中运用BP神经网络对延安市1988-2009的城市化水平进行了测度。同时,应用城市生态环境压力指数对延安市的城市生态环境压力进行了定量分析,并对城市生态环境压力与城市化水平进行了相关分析和回归分析,构建了城市化水平与城市生态环境压力之间的定量回归模型。结果表明:延安市城市化水平与城市生态环境压力之间存在较明显的负相关关系。最后就如何加速城市化的发展进程,减小城市生态环境压力,使城市朝着健康有序、绿色环保的方向发展提出了几点建议。

Response research of eco-environment stress and urbanization based on BP artificial neural network-Yan’an

Urbanization is an inevitable trend of social and economic development,the eco-environment stress caused by urbanization is an important restrict factor for the urban development.In this paper,we used BP artificial neural network method to quantitatively measure the urbanization of Yan’an from 1988 to 2009,meanwhile,used civic eco-environment stress index measure the civic eco-environment stress of Yan’an,and analyzed the correlation between civic eco-environment stress index and urbanization,and built the regression model for civic eco-environment stress index and urbanization.The results showed that the urbanization and civic eco-environment stress are obvious negative correlation.Finally,the author put forward some suggestions about how to speed up the development process of urbanization and reduce pressure on urban ecological environment in order to make the city become healthily,orderly and environmentally.