Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

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    Calibration of Estimates on Direct Wildfire Emissions from Remote Sensing Data
/ E. I. Ponomarev, E. G. Shvetsov, K. Y. Litvintsev // Izv. Atmos. Ocean. Phys. - 2019. - Vol. 55, Is. 9. - P1065-1072, DOI 10.1134/S0001433819090408. - Cited References:39. - This work was supported by the Russian Foundation for Basic Research, the Government of the Krasnoyarsk Region, and the Krasnoyarsk krai Foundation for Research and Development Support, project no. 17-41-240475. . - ISSN 0001-4338. - ISSN 1555-628X
РУБ Meteorology & Atmospheric Sciences + Oceanography

Аннотация: This study is based on the processing of satellite imagery in the wave range 3.93-3.99 mu m (Terra/Modis satellite) and numerical simulation results. It has been found for combustion conditions in Siberian forests that the observed fire radiative power (FRP) is 15% of the total fire power. Variations between 10 and 30% depend on both the fire development scenario (specific burnup rate of 0.01-0.1 kg/m(2) s and fire front velocity of 0.01-0.1 m/s) and the conditions for remote imaging. Instrumental estimates for the ratio of fire areas by given intensity quantiles for Siberian forests are presented. The share of low-, medium-, and high-intensity fires is 41.2-58.9, 35.0-46.5, and 6.10-13.44% of the total area. Refined estimates of fire emissions have been obtained taking into account the amount of biomass burnt and variable burning intensity. The proposed method allows the mass of burned forest fuel materials (FFM) and direct fire emissions to be estimated quantitatively at a level 14-21% lower than the values calculated with the help of standard approaches. The estimates of direct carbon emissions in the given time interval of 2002-2016 were 83 +/- 21 Tg/year on average, which is 17% lower than the value 112 +/- 25 Tg/year obtained with the standard method.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Fed Res Ctr KSC SB RAS, Krasnoyarsk, Russia.
Fed Res Ctr KSC SB RAS, Joint Reg Ctr Remote Sensing, Krasnoyarsk, Russia.
Russian Acad Sci, Kutateladze Inst Thermophys, Siberian Branch, Novosibirsk, Russia.

Доп.точки доступа:
Ponomarev, E. I.; Shvetsov, E. G.; Litvintsev, K. Yu.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR); Government of the Krasnoyarsk Region; Krasnoyarsk krai Foundation for Research and Development Support [17-41-240475]