Calibration of Estimates on Direct Wildfi re Emissions Based on Remote Sensing Data

 
PIIS020596140003239-3-1
DOI10.31857/S020596140003239-3
Publication type Article
Status Published
Authors
Affiliation: Institute of Forest them. V.N. Sukachev SB RAS - separate subdivision of FIC KSC SB RAS
Address: Russian Federation
Affiliation: Single Regional Center for Remote Sensing, FIC KSC SB RAS
Address: Russian Federation
Affiliation: Institute of Thermal Physics. Ss Kutateladze SB RAS
Address: Russian Federation
Journal nameIssledovanie Zemli iz kosmosa
EditionIssue 5
Pages41-51
Abstract

This research is based on the processing of satellite imagery in the wave range 3.93–3.99 m (Terra/Modis satellite) and numerical simulation results. With respect to the combustion conditions in Siberian forests it has been found that the observed value of Fire Radiative Power (FRP) is 15% of the total fi re power. Variations between 10–30% depend both on the fi re development scenario (burning rate 0.01–0.1 kg/m2s, and fi re front propagation rate 0.01– 0.1 m/s) and on the conditions of remote imaging. Instrumental estimates of the ratio of fi re areas for given quantiles of fi re intensity for Siberian forest are presented. Low-intensity fi res have made 41.2–58.9% of the total burned area, medium-intensity fi res have areas of 35.0–46.5% and the por tion of high-intensity fi res is 6.10–13.44%. The refi ned estimates of fi re emissions are obtained in accordance with the amount of combusted biomass, taking into account the variable combustion intensity. The proposed method reports the amount of combusted forest fuels and direct fi re emissions to be 14–21% lower than the results of calculations using standard approaches. Estimates of direct carbon emissions in the considered time period of 2002–2016 were 83 ± 21 Tg/year, which is 17% lower than the result obtained using the standard procedure – 112 ± 25 Tg/year.

Keywordsremote data, active burning zone, fi re radiative power, intensity, fuel combustion completeness, emission
AcknowledgmentThis work was supported by the Russian Foundation for Basic Research, the Government of the Krasnoyarsk Territory, the Krasnoyarsk Regional Fund for the Support of Scientific and Scientific-Technical Activities, project No. 17–41–240475.
Received26.12.2018
Publication date26.12.2018
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