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动态代谢网络模拟在能水纽带分析中的应用:以中国辽宁省为例。

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

机构信息

College of Environmental Science and Engineering, Peking University, Beijing 100871, China.

Chinese Research Academy of Environmental Sciences, Beijing 100871, China.

出版信息

Sci Total Environ. 2021 Jul 20;779:146440. doi: 10.1016/j.scitotenv.2021.146440. Epub 2021 Mar 16.


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

摘要

面对日益严峻的能源和水危机,探索能源-水纽带代谢关系可为实现资源节约和消费减排提供新方向。本文提出了一种综合的能源-水代谢网络评估方法,以探寻辽宁省能源-水代谢网络的动态演变,并量化各部门的代谢过程。投入产出分析(IOA)和生态网络分析(ENA)相结合,厘清了能源-水纽带网络中的内在联系和复杂系统相互作用。基于 2012 年至 2018 年连续投入产出表,通过系统动力学模型(SDM)探索了“水相关能源”和“能源相关水”系数。此外,构建了能源-水纽带效率指标(EWEI),以评估能源-水纽带网络的代谢循环效率。结果表明:(a)能源和水的流出部门主要集中在第一产业和第三产业,而流入部门主要集中在第二产业;(b)部门关系为实施协同资源节约和效率提升措施提供了有效途径,能源-水纽带中与其他部门相关性最高的关键部门是 AGR(农业)、MIN(采矿业)和 WRC(批发、零售和餐饮业);(c)EWEI 呈逐渐下降趋势,能源系统的状态对能源-水代谢健康的影响比水系统更为强烈。

相似文献

[1]
Dynamic metabolism network simulation for energy-water nexus analysis: A case study of Liaoning Province, China.

Sci Total Environ. 2021-7-20

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

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

Int J Environ Res Public Health. 2022-6-15

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