Zhang Guo, Huang Guohe, Liu Lirong, Niu Geng, Li Jizhe, McBean Edward
Institute for Energy, Environment and Sustainability Research, North China Electronic Power University, Beijing 102206, China.
Center for energy, Environment and Ecology Research, UR-BNU, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2019 Jun 20;670:369-378. doi: 10.1016/j.scitotenv.2019.03.132. Epub 2019 Mar 16.
When considering a region as a superorganism, there are various processes of metabolism that reflect the growth and maintenances of the system, as well as the interactions with the surroundings. Ecological Network Analysis combined with the input-output model is utilized to analyze the water consumption structure and the interaction control relationships among different sectors within the urban ecosystem. The integrated approach is applied to the case study of Guangdong Province, China. The Water Ecological Network model is developed by the monetary I-O table of Guangdong province in 2012. The network control analysis is employed to describe the pathway of indirect water. In addition, the competitive and mutual relationship among different sectors is concluded by the approach of network utility analysis. This study also newly compares "virtual water (which is the indirect water) imports of per unit Gross Domestic Product (GDP)" and "water consumption of per unit GDP" to reveal which of them contributes more to the urban metabolism. The results indicate that the top three controllers are machinery, equipment and other services, followed closely by food and tobacco processing. The model results also show that the negative effects among different sectors accounting for the majority in all relationships, which indicates that the system under investigation is not in a mutualism state. This is due to that the competition of water uses between the economic sectors weaken the virtual water circulation within the system. The results are valuable to provide scientific suggestions for improving water use efficiency and make reasonable virtual water policy.
将一个区域视为一个超级有机体时,存在各种新陈代谢过程,这些过程反映了系统的生长和维持,以及与周围环境的相互作用。结合投入产出模型的生态网络分析被用于分析城市生态系统内不同部门之间的用水结构和相互作用控制关系。这种综合方法应用于中国广东省的案例研究。水生态网络模型是根据广东省2012年的货币投入产出表开发的。网络控制分析用于描述间接水的路径。此外,通过网络效用分析方法得出不同部门之间的竞争和相互关系。本研究还新比较了“单位国内生产总值(GDP)的虚拟水(即间接水)进口量”和“单位GDP用水量”,以揭示它们中哪一个对城市新陈代谢的贡献更大。结果表明,前三大控制因素是机械、设备和其他服务业,紧随其后的是食品和烟草加工业。模型结果还表明,在所有关系中,不同部门之间的负面影响占大多数,这表明所研究的系统并非处于互利共生状态。这是因为经济部门之间的用水竞争削弱了系统内的虚拟水循环。这些结果对于提供提高用水效率的科学建议和制定合理的虚拟水政策具有重要价值。