• 关键词：城市生态系统健康  评价指标体系  最大流原理  复杂系统

• 基金项目：国家自然科学基金项目(No.71071110,71273185)

• 赵帅
• 天津大学环境科学与工程学院,天津 300072

• 柴立和
• 天津大学环境科学与工程学院,天津 300072

• 李鹏飞
• 中国市政工程华北设计研究总院,天津 300074

• 程宏鑫
• 天津大学环境科学与工程学院,天津 300072

• 摘要：从城市生态系统的活力、组织结构、恢复力、生态系统服务功能及人群健康5个方面建立了城市生态系统健康评价的指标体系,并针对目前现有的城市生态系统健康评价模型的不足,以最大流原理为基础,以自组织特征映射神经网络(SOM)为算法实现手段,从复杂系统结构演化的角度提出了一个新的城市生态系统健康评价模型.进而使用该模型对2001—2009年天津市生态系统健康进行评价.结果表明,天津市2001—2007年城市生态系统处于亚健康状况,2008、2009年处于较健康的状况,并得出天津市生态系统健康状况处于逐年增长的趋势的判定.由于该模型从一定程度上体现了城市生态系统健康的演化动力学机理和城市生态系统时空演变特性,因此,不仅在评价上有较大的优越性,在城市生态系统健康发展变化状态的预测上也具有潜力.

• Abstract：Health of urban ecosystem is attributed to the development in five aspects, e.g. vigor, structure, resilience, function maintenance and population health. Although many assessment models have been established to depict the urban ecosystem health, few of them can premeditate the interaction between the various indicators. In this paper, we propose a novel model based on maximum flux principle that can overcome limitations of the existing models. Employing the self-organization feature map (SOM), the new model can better represent the characteristics of urban health. We obtained the health status from 2001—2009 in Tianjin using this model, and urban ecosystem health status in each year is acquired, which shows an increasing trend. Thanks to its ability in revealing the evolution of the dynamic mechanism and the temporal-spatial evolution of the urban ecosystem, our model shows great advantage in the unban ecosystem assessment and prediction of the health status.

• Key words：urban ecosystem health  assessment indicators system  maximum flux principle  complex systems

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