EventsThe 3rd International Electronic Conference on Atmospheric Sciences
Published
This submission belongs to the session S3. Air Quality and Human Health of the event The 3rd International Electronic Conference on Atmospheric Sciences
Published date
13 Nov, 2020
Citation
Evgenii I. Ponomarev, Estimation of Direct Fire Emissions from Forests Burning in Siberia, in Proceedings of The 3rd International Electronic Conference on Atmospheric Sciences, 16 November–30 November 2020, MDPI: Basel, Switzerland, doi: 10.3390/ecas2020-08114
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Estimation of Direct Fire Emissions from Forests Burning in Siberia

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1. Federal Research Center “Krasnoyarsk Science Center, Siberian Branch, Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia, Russia
2. Department of Ecology and Environment, Siberian Federal University, 660041 Krasnoyarsk, Russia
Abstract

Using a database on wildfires recorded by remote sensing for 1996–2020, we assessed the seasonal variation of direct carbon emissions from the burning in Siberian forests. We have implemented an approach that takes into account the combustion parameters and the changing intensity of the fire (in terms of Fire Radiative Power, FRP), which affects the accuracy of the emission estimate. For the last two decades, the range of direct carbon emissions from wildfires was 20–250 Тg С per year. Sporadic maxima were fixed in 2003 (> 150 Тg С/yr), in 2012 (> 220 Тg С/yr), and in 2019 (> 190 Тg С/yr). Preliminary estimation of emissions for 2020 (on 30th of September) was ~180 Tg/year. Fires in the larch forests of the flat-mountainous taiga region (Central Siberia) made the greatest contribution (>50%) to the budget of direct fire emission, affecting the quality of the atmosphere in vast territories during summer period. According to the temperature rising and forest burning trend in Siberia, the fire emissions of carbon may double (220 Тg С/yr) or even increase by an order of magnitude (>2000 Тg С/yr) at the end of the 21st century, which was evaluated depending on IPCC scenario.

Keywords
wildfire
emissions
fire radiative power
remote sensing
Siberia
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