Literature DB >> 30904651

Ecological network analysis of an urban water metabolic system based on input-output model: A case study of Guangdong, China.

Guo Zhang1, Guohe Huang2, Lirong Liu3, Geng Niu4, Jizhe Li1, Edward McBean5.   

Abstract

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.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Ecological network analysis; Environment network; Input-output model; Urban ecology; Urban water metabolism; Virtual water

Year:  2019        PMID: 30904651     DOI: 10.1016/j.scitotenv.2019.03.132

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Water consumption assessment in Asian chemical industries supply chains based on input-output analysis and one-way analysis of variance.

Authors:  Mahboobe Shafiei; Seyed Hamed Moosavirad; Arezoo Azimifard; Shirin Biglari
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-28       Impact factor: 4.223

2.  Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network.

Authors:  Jiekun Song; Lina Jiang; Zeguo He; Zhicheng Liu; Xueli Leng
Journal:  Int J Environ Res Public Health       Date:  2022-07-31       Impact factor: 4.614

  2 in total

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