Vol. 38, issue 12, article # 10

Abstract:

The current global warming is caused by an increase in the concentration of greenhouse gases in the atmosphere. Therefore, the estimation of the potential of different ecosystems for the sequestration of atmospheric carbon dioxide on both regional and global scales is relevant. The balance of natural carbon dioxide fluxes throughout the Sverdlovsk region is considered. An integral assessment of the net CO₂ absorbed from the atmosphere by regional ecosystems for the period 2020–2022 is made based on the original NorthFlux machine learning model, where spectral data from the MODIS satellite sensor, meteorological data from retrospective climate analysis, and satellite data on the classification of the underlying surface vegetation are used as input data. Data on anthropogenic CO₂ emissions are taken from the inventory of greenhouse gas emissions in the Sverdlovsk Region. To assess the transboundary transfer of carbon dioxide, we used a balance equation for CO₂ fluxes in the atmospheric column and data on the average annual rate of increase in the CO₂ concentration in the region's atmosphere obtained from ground-based IR Fourier spectroscopy using the Bruker IFS 125M high-resolution spectrometer at the Kourovka Astronomical Observatory for the period 2012–2024. As a result, it was found that the sequestration of atmospheric CO₂ by the ecosystems of the Sverdlovsk region ranges from 10.9 to 15.2%, and its transboundary transfer outside the region to neighboring regions ranges from 72.5 to 76.7% of the annual industrial CO₂ emissions in the region.

Keywords:

CO2 fluxes in ecosystems, net ecosystem exchange, transboundary transfer, machine learning model, MODIS satellite sensor

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