计量学报2025，Vol.46Issue(12)：1711-1719,9.DOI:10.3969/j.issn.1000-1158.2025.12.02
基于反演算法的温室气体无组织排放量化研究
Research on the Quantification of Fugitive Carbon Emissions Based on Inversion Algorithm
摘要
Abstract
Accurately location and quantification of fugitive carbon emissions contribute to developing more targeted emission reduction measures.In terms of the lack of reference truth values when quantifying the fugitive emissions by"top-down"monitoring inversion method and current research gap of its evaluation indicators such as measurement errors and uncertainties,this study comprehensively used the Gaussian diffusion model and Bayesian inversion algorithm to develop an inversion algorithm for the location and quantification of fugitive carbon emissions at a small area scale,based on high-precision carbon dioxide mole fraction and multidimensional meteorological monitoring data.In addition,validation experiments were conducted using the Controlled Release Facility(CRF).The results showed that compared with standard reference emission of 0.2 g/s from CRF,the simulated emission value calculated by the inversion model was 0.16 g/s,with an emission uncertainty of 17%(k=2).The measurement error between the emission source located by the inversion algorithm and the actual emission source position of CRF was 28.3 m,with a measurement uncertainty of 7.2 m(k=2).关键词
无组织碳排放/温室气体监测/反演算法/定位和定量/可控释放装置Key words
fugitive carbon emissions/greenhouse gas monitoring/inversion algorithm/location and quantification/controlled release facility分类
通用工业技术引用本文复制引用
任歌,曾晓羲,胡宇鑫,杜凯伦,赵世琦,林鸿..基于反演算法的温室气体无组织排放量化研究[J].计量学报,2025,46(12):1711-1719,9.基金项目
国家重点研发计划(2023YFE0207200) （2023YFE0207200）
中国计量科学研究院基本科研业务费重点领域(AKYZD2207-2) （AKYZD2207-2）
