Recently, Shi Yusheng, a researcher from the Key Laboratory of Remote Sensing and Digital Earth of the Institute of Space and Space Information Innovation, Chinese Academy of Sciences, made progress in the field of remote sensing estimation of global biomass combustion emissions inventory. The team utilized the Fengyun 3D polar orbit meteorological satellite fire point monitoring data, combined with multi-source ground-based observations and satellite product inversion of combustible biomass, combustion factors, and emission factors, to quantify global biomass combustion carbon emissions and establish a high-resolution daily biomass combustion carbon emission clearing dataset. This achievement will help clarify the global carbon cycle process and mechanism, and provide scientific data support for achieving global carbon inventory.
Biomass combustion is an important source of global carbon emissions. Biomass combustion includes forest fires, grassland fires, shrub fires, crop straw burning, etc., presenting characteristics such as periodicity, randomness, multi-point sources, wide range, and difficult monitoring. Accurately quantifying carbon emissions from biomass burning is the foundation for clarifying the carbon cycle of terrestrial ecosystems and the prerequisite for elucidating global and regional carbon balance. Meanwhile, carbon emissions from biomass combustion are important input parameters for atmospheric chemical transport models, and an accurate and reliable inventory of biomass combustion carbon emissions can improve the simulation accuracy of atmospheric transport models. Therefore, scientifically and effectively accounting for carbon emissions from biomass combustion is of great significance for the carbon cycle of terrestrial ecosystems and atmospheric carbon concentration.
Research shows that from 2020 to 2022, the global carbon emissions from biomass burning reached 2.59 billion tons per year. There are significant differences in carbon emissions from biomass combustion over time and space. Data shows that the carbon emissions from biomass burning in southern Africa are the highest, reaching 850 million tons per year; Next is southern South America with 530 million tons per year, northern Africa with 390 million tons per year, and Southeast Asia with 200 million tons per year. These differences indicate significant regional characteristics in the contribution of biomass burning activities to global carbon emissions in different regions.
Furthermore, research has found that grassland fires rank first in global carbon emissions, with an average annual contribution of 1.21 billion tons of carbon, accounting for 46.7% of the total emissions. Next are shrub fires and tropical forest fires, accounting for 33.0% and 12.1% of the total emissions, respectively. Detailed classification monitoring not only reveals the specific contributions of different types of fires to carbon emissions, but also highlights the importance of controlling specific types of fires.
It is worth noting that the above study is the first to use domestically produced satellites to establish a global biomass combustion carbon emission inventory dataset, reflecting the advantages of China's Fengyun meteorological satellite in fire point monitoring and identification.
This achievement provides a new approach and method for finely quantifying the impact of global biomass combustion emissions on changes in atmospheric carbon dioxide concentration, and provides a scientific basis for biomass combustion control.
On August 2nd, the relevant research results were published online in Earth System Science Data under the title "Global Emissions Inventory from Open Biomass Burning (GEIOBB): Utilizing Fengyun-3D global fire spot monitoring data". The research work has received support from the National Key Research and Development Program, the National Natural Science Foundation of China, and the China Meteorological Administration.
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