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基于投入产出模型的江苏省工业废物代谢生态网络分析。

Ecological network analysis of industrial wastes metabolism based on input-output model for Jiangsu, China.

机构信息

Business School, Hohai University, Nanjing 211100, China; Yangtze Institute for Conservation and Development, Nanjing 211100, China; Jiangsu Research Base of Yangtze Institute for Conservation and High-quality Development, Nanjing 211100, China.

Business School, Hohai University, Nanjing 211100, China; Yangtze Institute for Conservation and Development, Nanjing 211100, China; Jiangsu Research Base of Yangtze Institute for Conservation and High-quality Development, Nanjing 211100, China.

出版信息

Waste Manag. 2022 Apr 15;143:23-34. doi: 10.1016/j.wasman.2022.02.011. Epub 2022 Feb 23.

DOI:10.1016/j.wasman.2022.02.011
PMID:35219253
Abstract

The enormous discharge of industrial waste seriously hinders the sustainable development of cities. However, most studies only involve a single or limited category of industrial pollutants, ignoring the environmental pressure caused by multiple resources and environmental factors. This paper combines input-output analysis and ecological network analysis to construct an industrial waste metabolic input-output (IWMIO) model, which explores the industrial waste discharge and discharge relationships among different sectors in Jiangsu Province from the three aspects of industrial wastewater, industrial waste gas, and industrial solid waste. The results show that the indirect discharge of industrial waste is greater than the direct discharge in the industrial waste metabolism system. TI (Tertiary industry), CI (Chemical industry), SPM (Smelting and pressing of metals), and PSEH (Production and supply of electricity and heat) dominate the industrial waste metabolism system. In addition, MWC (Mining and washing of coal), MNMP (Manufacture of non-metallic mineral products), SPM (Smelting and pressing of metals) have more mutualism and competition relationships with other sectors, so the control of industrial waste discharge in these sectors contributes to achieving emission reduction targets. Based on the research results, this paper proposes corresponding policy recommendations such as considering both direct and indirect emissions of sectors when formulating waste reduction policies and developing pertinent industrial waste reduction programs based on the characteristics of the identified sectors. The results of this paper are helpful to identify the dependence and influence relationships of various sectors in the industrial waste metabolism system, promote industrial waste discharge control, and provide theoretical support for the adjustment of industrial structure and the formulation of related policies in Jiangsu Province.

摘要

工业废水的大量排放严重阻碍了城市的可持续发展。然而,大多数研究只涉及单一或有限类别的工业污染物,忽略了多种资源和环境因素造成的环境压力。本文结合投入产出分析和生态网络分析,构建了工业废水代谢投入产出(IWMIO)模型,从工业废水、工业废气和工业固体废物三个方面探讨了江苏省不同行业的工业废水排放和排放关系。结果表明,工业废水代谢系统中,间接排放的工业废水大于直接排放的工业废水。TI(第三产业)、CI(化学工业)、SPM(金属冶炼和压延加工业)和 PSEH(电力、热力生产和供应业)主导着工业废水代谢系统。此外,MWC(煤炭采选业)、MNMP(非金属矿物制品业)、SPM(金属冶炼和压延加工业)与其他行业具有更多的共生和竞争关系,因此控制这些行业的工业废水排放有助于实现减排目标。基于研究结果,本文提出了相应的政策建议,如在制定减排政策时,既要考虑部门的直接排放,也要考虑间接排放;根据所确定的部门的特点,制定相关的工业废物减排计划。本文的研究结果有助于识别工业废水代谢系统中各部门的依存关系和影响关系,促进工业废水排放控制,为江苏省调整产业结构和制定相关政策提供理论支持。

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