Advanced satellite-based model for precise measurement of point source CO 2 emission
Year: 2025
Type: article
Abstract: Point source emissions account for over two-thirds of anthropogenic CO2 emissions, and accurately assessing these emissions is crucial for understanding their impact on global climate change. The Orbiting Carbon Observatory-2 (OCO-2) satellite is capable of monitoring global CO2 concentrations. Under specific orbital conditions, OCO-2 can effectively identify strong point sources and assess their CO2 emission intensities, thereby providing near-real-time emission reports. To improve the accuracy and applicability of point source emission evaluations, this study introduces a novel model, EMI-GET. This model combines genetic algorithms with sequential quadratic programming methods, significantly reducing uncertainties introduced by predefined empirical parameters and meteorological data in existing models. The model was applied to 11 cases across China, comparing the CO2 emissions estimated by OCO-2 with those reported in emission inventories. The results show that the emission differences ranged from 1.2 to 73.1 kg/s, with the EMI-GET model reducing uncertainty by approximately 14.4% compared to existing approaches, especially in point source assessments. This model provides valuable support for policymakers, aiding in the management of fossil fuel usage and the formulation of effective CO2 emission reduction policies.
Source: Geo-spatial Information Science
Institutions: Wuhan University, Henan Academy of Sciences, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Centre National de la Recherche Scientifique, Université de Versailles Saint-Quentin-en-Yvelines, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, Laboratoire des Sciences du Climat et de l'Environnement, Ministry of Ecology and Environment, Satellite Application Center for Ecology and Environment, China Meteorological Administration
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,993
OpenAlex ID: W4414996232
