Literature DB >> 33752008

Dynamic metabolism network simulation for energy-water nexus analysis: A case study of Liaoning Province, China.

Yang Zhang1, Zhenghui Fu2, Yulei Xie3, Zheng Li4, Yanxiao Liu5, Baichuan Zhang6, Huaicheng Guo7.   

Abstract

Faced with gradually serious energy and water crisis, the exploration of energy-water nexus metabolism relationships could provide a new direction for achieving the resources conservation and consumption reduction. In this paper, a comprehensive assessment for energy-water metabolic network is proposed to search the dynamic evolution and quantify the sectoral metabolic processes in Liaoning Province, China. Input-output analysis (IOA) and ecological network analysis (ENA) are integrated to clarify the embodied linkages and the complicated system interactions in the energy-water nexus network. The coefficients of "water-related energy" and "energy-related water" are explored through the system dynamics model (SDM) based on the consecutive input-output tables from 2012 to 2018. In addition, energy-water nexus efficiency index (EWEI) is constructed to evaluate the metabolism circulation efficiency of energy-water nexus network. The results indicate that (a) the energy and water outflow sectors mainly concentrate in primary industries and tertiary industries, while inflow sectors mainly concentrate in secondary industries; (b) the sectoral relationship provides effective pathways to implement collaborative resource saving and efficiency improvement measures, and the key sectors with the highest correlation with other sectors in energy-water nexus are AGR (agriculture), MIN (mining) and WRC (wholesale, retail and catering services). (c) the EWEI shows a gradually downward trend and the state of the energy system would determine the health of the energy-water nexus metabolism more strongly than water system.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Circulation efficiency; Energy-water nexus; Metabolic network; Sectoral relationship

Year:  2021        PMID: 33752008     DOI: 10.1016/j.scitotenv.2021.146440

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


  1 in total

1.  Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input-Output Model.

Authors:  Xiuli Liu; Rui Xiong; Pibin Guo; Lei Nie; Qinqin Shi; Wentao Li; Jing Cui
Journal:  Int J Environ Res Public Health       Date:  2022-06-15       Impact factor: 4.614

  1 in total

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