Zhou Zhiwu, Wang Ying, Alcalá Julián, Yepes Víctor
Hunan Provincial Key Laboratory of Intelligent Protection and Utilization Technology in Masonry Artifacts, School of Civil and Environmental Engineering, Hunan University of Science and Engineering, Yongzhou, 425006, Hunan, China.
Chongqing Vocational College of Public Transportation, Chongqing, China.
Sci Rep. 2024 May 10;14(1):10752. doi: 10.1038/s41598-024-59531-4.
Due to the rapid economic development of globalization and the intensification of economic and trade exchanges, cross-international and regional carbon emissions have become increasingly severe. Governments worldwide establish laws and regulations to protect their countries' environmental impact. Therefore, selecting robustness evaluation models and metrics is an urgent research topic. This article proves the reliability and scientific of the assessment data through literature coupling evaluation, multidisciplinary coupling mathematical model and international engineering case analysis. The innovation of this project's research lies in the comprehensive analysis of the complex coupling effects of various discrete data and uncertainty indicators on the research model across international projects and how to model and evaluate interactive effects accurately. This article provides scientific measurement standards and data support for governments worldwide to formulate carbon tariffs and carbon emission policies. Case analysis data shows that the carbon emission ratio of exporting and importing countries is 0.577:100; the carbon trading quota ratio is 32.50:100.
由于全球化带来的经济快速发展以及经贸交流的强化，跨国际和区域的碳排放问题日益严峻。世界各国政府制定法律法规以保护本国的环境影响。因此，选择稳健性评估模型和指标是一个亟待研究的课题。本文通过文献耦合评估、多学科耦合数学模型以及国际工程案例分析，论证了评估数据的可靠性和科学性。本项目研究的创新之处在于全面分析了国际项目中各种离散数据和不确定性指标对研究模型的复杂耦合效应，以及如何准确地对交互效应进行建模和评估。本文为世界各国政府制定碳关税和碳排放政策提供了科学的衡量标准和数据支持。案例分析数据表明，进出口国家的碳排放比率为0.577:100；碳交易配额比率为32.50:100。
