Satellite Monitoring of Burnt-out Areas and Emissions of Harmful Contaminants Due to Forest and Other Wildfires in Russia

Бондур, В. Г.; Gordo, K. A.

doi:10.1134/s0001433818090104

Cited by 33 publications

(16 citation statements)

References 15 publications

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“…A technique described in (Bondur, 2011;Bondur, 2016;Bondur et al, 2017;Bondur and Gordo, 2018) was used to monitor wildfires in Australia. MODIS (Terra, Aqua satellites) data were used during wildfire monitoring as main data for the assessment of areas of burned-out territories and the detection of fire source boundary changes.…”

Section: Methodsmentioning

confidence: 99%

“…In this study the calculation of the total matter mass emitted into the atmosphere as a result of a wildfire, including CO and CO 2 emissions, was carried out using the Seiler-Crutzen equation (Seiler and Crutzen, 1980) with the introduction of a correction factor obtained to clarify the burned-out area (Bondur, 2016;Bondur and Gordo, 2018).…”

Section: Methodsmentioning

confidence: 99%

“…Where A is the wildfire area based on MOD14 data (m 2 ); B is the biomass density within the burned-out territory (kg/m 2 ); C is the biomass combustion completeness (%); D is the emission factor (the matter mass emitted into the air during the burning of 1 kg of the biomass (g/kg); k is the correction factor; E is the total matter mass emitted into the atmosphere as a result of a fire (g). The correction factor k was obtained according to the technique described in (Bondur and Gordo, 2018), the technique is based on comparing the results of calculations of wildfire areas obtained from satellite data of low (Terra) and medium (Landsat-8) spatial resolution for selected test sites. As a result, the values of the correction factor k were obtained, varying in the range of 0.65-0.91.…”

Section: Methodsmentioning

confidence: 99%

“…The use of such higher frequency data allows to detect fires quickly even on remote territories. This is especially important for the monitoring of wildfires and assessment of volumes of wildfire emissions into the atmosphere in order to take timely measures to ensure safety and prevent negative effects of these natural phenomena (Pu et al, 2004;Bondur, 2011Bondur, , 2016Giglio et al, 2016;Bondur et al, 2017, Bondur andGordo, 2018;Bondur et al, 2019b;Bondur et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

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Satellite Monitoring of Anomalous Wildfires in Australia

et al. 2021

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Here we present the results of satellite monitoring of wildfires in Australia for the period of 2001–2020. Annual and monthly dynamics of wildfire areas and CO and CO2 carbon-bearing trace gas emissions from wildfires have been analyzed for the whole territory of Australia based on satellite data. It was found that anomalous fires occurred in the territory of New South Wales during the 2019–2020 fire season. Values of burned-out areas exceeded the values of previous years 3.5–25.8-fold. Annual mean volumes of carbon-bearing gas emissions in this region exceeded the values of previous years 4–59-fold for carbon monoxide CO and 4.6–50-fold for carbon dioxide CO2. The spatial distribution of the excess concentrations of CO from wildfires in New South Wales was recorded according to the monthly mean data of the AIRS instrument (Aqua satellite). At the same time, the excess of CO2 concentration in the atmosphere was estimated using the TANSO-FTS (GOSAT satellite) data. It was demonstrated that an anomalously high number of fires in this state of Australia was caused by extreme drought associated with abnormally high surface temperatures, low rainfall and humidity which created conditions for intense fires and emissions of carbon-bearing gases associated with the combustion of eucalyptus and tropical rain forests prevailing in this region.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Satellite Monitoring of Anomalous Wildfires in Australia

et al. 2021

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“…The spatial pattern of regional forest fires during this period was derived using the MODIS Thermal Anomalies/Fire products [58]. Assessing the volumes of GHG and aerosol emissions from wildfires into the atmosphere was provided using the methods suggested by Bondur et al [59][60][61]. To predict the possible effect of forest fires on regional weather conditions, two modeling domains were selected (Figure 1).…”

Section: Modeling Experimentsmentioning

confidence: 99%

Effect of Natural Forest Fires on Regional Weather Conditions in Siberia

et al. 2020

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Effects of forest fires on regional weather conditions were analyzed for Central and Eastern Siberia after warm and dry weather conditions in summer 2019 using COSMO-Ru (COnsortium for Small-scale MOdeling; Ru—Russia) and COSMO-RuART (ART—Aerosols and Reactive Trace gases) model systems. Four series of numerical experiments were conducted (one control experiment and three forest fire experiments assuming total vegetation destruction within the burned areas) to evaluate possible effects of forest fires on surface albedo and vegetation properties as well as their influence on air chemistry and aerosol concentration in the atmosphere. The modeling results showed significant influence of forest fires on regional weather conditions that occurred over large areas situated even away from burnt regions. Decreased surface albedo and reduced latent heat fluxes due to fire-induced destruction of forest cover lead to higher near-surface air temperature and lower air humidity in both burned and surrounding unburned forest areas. On the other hand, reduced incoming solar radiation due to smoke from forest fire plumes decreased land surface temperatures and increased thermal atmospheric stability resulting in reduced regional precipitation.

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