Satellite-Based Differentiation of Anthropogenic and Forest Fire CO 2 Emission Regions
Year: 2025
Type: article
Abstract: The release of CO2from human activities and forest fires constitutes the two primary and most significant contributors to the global warming process. Identifying distinct types of CO2 emission sources is crucial for developing targeted emission reduction measures tailored to varying intensities. In this study, an integrated methodology framework has been proposed to identify abnormal carbon release zones, clarify human-induced versus natural emissions, and quantify their respective contributions. To achieve this, GOSAT XCO2, NO2, and CO data were analyzed across the globe using cluster-based segmentation and vector autoregressive modeling. Specifically, primary regions of anthropogenic and forest fire CO2emissions were identified based on these datasets. Further, influencing factors affecting anthropogenic CO2emissions in China were quantified. Notably, human activities or forest fire regions were effectively distinguished from each other by K-means clustering of XCO2(anomaly) alongside NO2 and CO data. In China, anthropogenic CO2emission patterns exhibit significant regional variability due to factors such as the output value of secondary and tertiary industries, residential energy consumption, and motor vehicle ownership. This study offers substantial insights into identifying distinct types of carbon emission sources while providing a foundation for developing targeted emission reduction strategies based on their varying intensities.
Authors: Mingdong You, Shuying Zang, Li Sun, Yusheng Shi
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,800
OpenAlex ID: W4412939785