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中国能源-水-二氧化碳代谢系统的环境扩展投入产出与生态网络分析。

Environmentally-extended input-output and ecological network analysis for Energy-Water-CO metabolic system in China.

机构信息

School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China.

出版信息

Sci Total Environ. 2021 Mar 1;758:143931. doi: 10.1016/j.scitotenv.2020.143931. Epub 2020 Dec 5.


DOI:10.1016/j.scitotenv.2020.143931
PMID:33321362
Abstract

Resource and environmental elements as controlling factors for ecologic and socio-economic are crucial to seek new ideas and paths for development and prosperity. In this study, environmentally-extended input-output analysis and ecological network analysis were combined to develop three ecological networks including energy ecological network, water ecological network, and carbon ecological network for searching the complex relationships among different departments for water utilization, energy consumption, and carbon emissions under considering China as a superorganism with various complex metabolic processes and the most fundamental metabolic materials. The embodied ecological elements intensity, the indirect consumption and emissions, the embodied material flows, the ecological relationships, and the dependence intensities among sectors was obtained through transforming the monetary input-output data to physical data from 2007, 2012, and 2017. The results show that the Energy Ecological Network and Water Ecological Network were in a relatively stable state with a mutualism index greater than 1, and the relationship among different sectors in the CO Ecological Network needs to be further adjusted. AM (Advanced Manufacture) and Agr (Agriculture) played the top exporter and importer roles with AM as the largest embodied energy consumer and CO emitter, and Agr as the largest embodied water user. More measures about resource conservation and emission reduction for AM and Agr are desired. Con (construction) had a strong dependence intensity on other sectors with amounts of over 90%. Resources and environmental effects on Con can be improved by increasing the utilization efficiency of intermediate products. The results could provide scientific policy implications and guidelines to promote the stable and healthy operations by revealing the dynamic change of sectors within the Energy-Water-CO metabolic system in China.

摘要

资源和环境要素作为生态和社会经济的控制因素,对于寻求新的发展和繁荣思路和途径至关重要。本研究结合环境扩展投入产出分析和生态网络分析,构建了能源生态网络、水生态网络和碳生态网络这三个生态网络,以探索在中国这个具有各种复杂代谢过程和最基本代谢物质的超级生物体中,不同部门之间的用水、能源消耗和碳排放之间的复杂关系。通过将 2007 年、2012 年和 2017 年的货币投入产出数据转化为实物数据,得到了体现生态要素强度、间接消费和排放、体现物质流、部门之间的生态关系和依存强度。结果表明,能源生态网络和水生态网络处于相对稳定的状态,共生指数大于 1,而 CO 生态网络中不同部门之间的关系需要进一步调整。先进制造(AM)和农业(Agr)是最大的出口国和进口国,AM 是最大的能源消耗和 CO 排放体,Agr 是最大的用水体。需要对 AM 和 Agr 采取更多的资源节约和减排措施。建筑(Con)对其他部门的依存强度很强,超过 90%。通过提高中间产品的利用效率,可以改善 Con 对资源和环境的影响。研究结果可以为促进中国能源-水-CO 代谢系统内部部门的稳定和健康运行提供科学的政策建议和指导。

相似文献

[1]
Environmentally-extended input-output and ecological network analysis for Energy-Water-CO metabolic system in China.

Sci Total Environ. 2021-3-1

[2]
Ecological network analysis of an urban water metabolic system based on input-output model: A case study of Guangdong, China.

Sci Total Environ. 2019-6-20

[3]
Exploring the embodied carbon flow interactive relationships in China from an ecological network perspective: a model framework and application at provincial level.

Environ Sci Pollut Res Int. 2022-12

[4]
Dynamic metabolism network simulation for energy-water nexus analysis: A case study of Liaoning Province, China.

Sci Total Environ. 2021-7-20

[5]
Identifying key sectors based on cascading effect along paths in the embodied CO emission flow network in Beijing-Tianjin-Hebei region, China.

Environ Sci Pollut Res Int. 2020-3-7

[6]
[Dynamic Analysis on Carbon Metabolism of the Northern Region of China Under the Background of Carbon Emission Trading Policy].

Huan Jing Ke Xue. 2024-2-8

[7]
Structural analysis of indirect carbon emissions embodied in intermediate input between Chinese sectors: a complex network approach.

Environ Sci Pollut Res Int. 2019-4-25

[8]
Analysis of urban carbon metabolism characteristics based on provincial input-output tables.

J Environ Manage. 2020-4-11

[9]
Three-perspective energy-carbon nexus analysis for developing China's policies of CO-emission mitigation.

Sci Total Environ. 2019-12-2

[10]
Development of carbon emission interactive network model: A case study of Northeast Industrial District.

J Environ Manage. 2021-12-15

引用本文的文献

[1]
A new input-output-based framework for measuring the active and passive water use.

Heliyon. 2024-9-16

[2]
Multi-model methods for structural analysis of China's green economy network based on input-output method.

PLoS One. 2024

[3]
Material flow analysis and characteristics of multiple-source organic solid wastes from a perspective of ecological network analysis: A case study in Hefei, China.

Waste Manag Res. 2023-5

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