温宗国,许毛,张蓝心.工业行业降碳减污协同效应与管理方法[J].中国环境管理,2025,17(2):5-15. WEN Zongguo,XU Mao,ZHANG Lanxin.The Synergistic Effect and Governance Methods for Carbon and Pollution Reduction in the Industrial Sector[J].Chinese Journal of Environmental Management,2025,17(2):5-15. |
工业行业降碳减污协同效应与管理方法 |
The Synergistic Effect and Governance Methods for Carbon and Pollution Reduction in the Industrial Sector |
DOI:10.16868/j.cnki.1674-6252.2025.02.005 |
中文关键词: 协同效应 降碳减污 共生效益 冲突关系 环境治理 |
英文关键词:synergistic effect carbon and pollution reduction co-benefits trade-off environmental governance |
基金项目:国家自然科学基金委专项项目“重点行业碳达峰、碳中和路径优化及应用研究”(72140008);上海同济高廷耀环保科技发展基金会青年博士生杰出人才项目。 |
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中文摘要: |
二氧化碳(CO2)与多污染物减排的协同效应及路径管理方法,是国际上应对气候变化和改善生态环境质量的关键科学问题。以工业为代表的重点行业作为CO2和污染物的主要来源,其降碳减污协同增效受到广泛关注。然而,由于工业行业降碳减污的工艺技术复杂、排放协同机理不明、参数不确定性大、管理目标数量多等难题,对“协同效应”的科学认识还不足。本文首先归纳总结了行业降碳减污“协同效应”的科学内涵,其既包括正向的“共生效益”,也包括负向的“冲突关系”,为降碳减污协同增效管理提供理论基础;其次系统剖析了降碳减污协同效应的内在机理及数值化表征方法,探讨了高维多目标优化方法在支撑降碳减污管理决策方面的适用性和科学性;最后提出了未来行业降碳减污研究需关注的重点科学问题,以期为我国降碳减污相关政策的制定提供参考依据。 |
英文摘要: |
The synergistic effects between carbon dioxide(CO2) and multi-pollutant emission reduction, along with strategic pathway management approaches, are the key scientific issues in addressing global climate change mitigation and enhancing ecological-environmental quality. Key sectors, such as industrial and power sectors, are the main sources of CO2 and pollutants, and their synergistic effects of carbon and pollution reduction have received widespread attention. However, the scientific understanding of “synergistic effects” is insufficient due to complex technological processes for industry carbon and pollution reduction, unclear emission synergy mechanisms, large parameter uncertainty, and multi environmental management targets. This paper begins by synthesizing the scientific connotation of “synergistic effects” in industrial pollution and carbon reduction, which encompass both positive co-benefits and negative trade-off relationships, providing a theoretical basis for the synergistic management of CO2 and pollution reduction. Secondly, the inherent mechanism and numerical characterization methods of the synergistic effect of CO2 and pollution reduction are systematically analyzed. The applicability and scientificity of high-dimensional multi-objective optimization methods in supporting carbon and pollution reduction management decisions are explored. Finally, key scientific issues that need to be paid attention to in future industry CO2 and pollution reduction research are proposed, in order to provide reference basis for the formulation of CO2 and pollution reduction related policies in China. |
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