Vol. 36, issue 12, article # 5

Abstract:

The results of hyperspectral sounding of the atmosphere at the Ural Atmospheric Station in Kourovka from 2012–2022 are presented. It is shown that the average rate of CO₂ growth in the atmosphere of this region is about 2.5 ppm per year. The amount of carbon dioxide absorbed from the atmosphere by the forest ecosystem per unit area during the growing season (April–September) in the vicinity of the carbon landfill in Kourovka is estimated using two independent methods. One method is based on the data on the CO₂ total column obtained from sounding the atmosphere with a ground-based high-resolution infrared Fourier spectrometer. The second method is based on the use of an artificial neural network with data from spectral channels of the MODIS satellite sensor as injnit. The results obtained by both methods demonstrate good agreement. The estimates made show that the amount of CO₂ absorbed from the atmosphere by the forest ecosystem in the vicinity of the carbon landfill site during the growing season of 2022 is about 1.5 t/ha (the first method) and about 1.3 t/ha (the second method).

Keywords:

atmosphere, carbon dioxide, hyperspectral sounding, artificial neural networks, MODIS

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