通过逆向思维，思考线粒体在气体交换上的结构合理性，由此分析总结出绿地系统结构上的模式。
By reverse thinking, thinking of mitochondrial structure in gas exchange on rationality, this analysis summarizes the structure of green space system model.
对校园绿地的配置模式进一步优化，推出三个建议性节水优化配置模式。
With that, further optimization in plant allocation pattern in campus was conducted. Finally, we bring forward three constructive water-saving plant allocation patterns.
结合树型结构和网络结构的自身优势与缺陷，提出了城市绿地树网型结构模式，并对城市绿地树网结构的特征、优势和研究方向提出了建议。
It also proposes the pattern of tree-network structure of urban green space based on the advantage and flaw of tree-type structure and network-type structure.
通过对绿地的经济效益及绿地的不同开发模式的分析研究，提出进一步加快城市绿地建设的途径和方法。
Through studying different view on green space benefit and different mode on development of green space, the approach and method of fastening development of city green space is put forward.
并提出绿地结构的最佳配置模式。
本模式的理想模型为：不单纯增加绿地面积，通过整合绿地资源来实现“低碳”的目的。
Second, the ideal model of this model: not simply to increase green space, green space through the integration of resources to achieve a "low carbon" purposes.
笔者探讨了这一模式在城市绿地系统规划中的应用，提出了城市绿地景观体系规划的设想，并对该体系的构成元素、规划目标、基本构思、工作框架、布局形式及各构成元素的具体规划原则进行了阐述。
The paper discusses the application of the pattern in the planning of urban green space system from such aspects as the components, the planning purpose, the basic design and principle and so on.
对各个绿地的特点、功能进行深入分析，总结出各个绿地的设计原则、规划模式和植物配置方法。
On the in-depth analysis of various green features and functions, the paper summarizes multiple green design principles, planning modes and plant configurations.
因此，对于城市绿地系统规划模式的研究非常必要。
Thus, more extensive research is necessary on green land systems and their applicability in city.
结合树型结构和网络结构的自身优势与缺陷，提出了城市绿地树网型结构模式，并对城市绿地树网结构的特征、优势和研究方向提出了建议。
This paper proposes an algorithm that is used to construct the Web structure tree and a Web information extraction method based on Web page structure tree.
结合树型结构和网络结构的自身优势与缺陷，提出了城市绿地树网型结构模式，并对城市绿地树网结构的特征、优势和研究方向提出了建议。
This paper proposes an algorithm that is used to construct the Web structure tree and a Web information extraction method based on Web page structure tree.
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