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基于三维扩散过程模型的碳核算方法研究

刘悦 施佳仪 张轩愷

统计与决策2026,Vol.42Issue(2):18-23,6.
统计与决策2026,Vol.42Issue(2):18-23,6.DOI:10.13546/j.cnki.tjyjc.2026.02.003

基于三维扩散过程模型的碳核算方法研究

Research on Carbon Accounting Methods Based on Three-dimensional Diffusion Process Model

刘悦 1施佳仪 1张轩愷2

作者信息

  • 1. 江苏大学 财经学院,江苏 镇江 212013
  • 2. 江苏大学 财经学院,江苏 镇江 212013||华中科技大学 管理学院,武汉 430074
  • 折叠

摘要

Abstract

Carbon accounting is a powerful support for achieving carbon peak and carbon neutrality,and the carbon molecule diffusion model is an important tool to carry out carbon accounting.This paper establishes a three-dimensional Cartesian spatial coordinate system with the emission source as the origin,then decomposes the motion process of carbon molecules in three direc-tions in the spatial Cartesian coordinate system,and finally imports the initial velocity,acceleration and diffusion coefficient in the three-dimensional direction,and also constructs a diffusion model of carbon molecules in the atmospheric space based on the Brownian motion.The research findings are shown as below:The carbon molecules are in three states when they stagnate near the ground:Carbon molecules are in an undetectable state when they are in the absorbing state;when in a floating state,carbon mole-cules float near the ground;when in a semi-absorptive state,carbon molecules have a 50%probability of being absorbed or sus-pended respectively.Based on the altitude of the detection area and the terrain state,the number of carbon molecules samples fall-ing into the detection area in a fixed time interval and the total number of samples are finally derived through data simulation,ac-cording to which the determination of the model parameters is achieved.Based on the model,this paper demonstrates the carbon accounting process of inverting carbon emissions with localized carbon accumulation samples near the steel mill.

关键词

碳核算/碳分子/扩散

Key words

carbon accounting/carbon molecule/diffusion

分类

资源环境

引用本文复制引用

刘悦,施佳仪,张轩愷..基于三维扩散过程模型的碳核算方法研究[J].统计与决策,2026,42(2):18-23,6.

基金项目

国家自然科学基金青年项目(72004082) (72004082)

国家社会科学基金重大项目(22&ZD136) (22&ZD136)

国家社会科学基金后期资助项目(22FGLB030) (22FGLB030)

江苏省碳达峰碳中和科技创新专项(BE2022610) (BE2022610)

统计与决策

OACHSSCD

1002-6487

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