scholarly journals ANALYSIS OF CATASTROPHIC STEPPE FIRES AND THE CAUSES OF THEIR OCCURRENCE IN APRIL 2019 (TRANS-BAIKAL TERRITORY)

2020 ◽  
pp. 145-150
Author(s):  
E.V. Noskova ◽  
I.L. Vakhnina ◽  
N.V. Rakhmanova ◽  
V.V. Bronnikov
Keyword(s):  
Steppe Fires

Influence of Radiation from the Flame Torch on Propagation of Steppe Fires

2005 ◽  
Vol 36 (6) ◽  
pp. 501-506 ◽  
Author(s):  
A. M. Grishin ◽  
D. M. Burasov
Keyword(s):  
Steppe Fires

Mathematical Modeling of Steppe Fires

2020 ◽  
pp. 48-62 ◽  
Author(s):  
Valeriy Afanasievich Perminov
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Wind Speed ◽  
Vegetation Cover ◽  
Meteorological Conditions ◽  
Condensed Phases ◽  
Pyrolysis Products ◽  
Rate Of Spread ◽  
The Mathematical Model ◽  
Steppe Fires

The chapter presents a mathematical model of the initiation and spread of the steppe fire. The mathematical model is based on the laws of mechanics of multiphase reacting media. The main physicochemical processes describing the drying, pyrolysis, and combustion of gaseous and condensed pyrolysis products are taken into account. As a result of the numerical solution, the distributions of the velocity, temperature, and concentration fields of the components of the gas and condensed phases were determined. The dependence of the rate of spread of the steppe fire on the main parameters of the state of vegetation cover and wind speed was studied. The mathematical model presented in the chapter can be used to predict the spread of steppe fires for various types of steppe vegetation and meteorological conditions, as well as for preventive measures.

scholarly journals Determination of the Pyro-Factor Ecological Successions Duration in the Zonal Landscapes of the Volgograd Region According to the Remote Sensing Data

2020 ◽  
pp. 44-53
Author(s):  
Stanislav Shinkarenko ◽  
◽  
Asel Berdengalieva ◽  
Valeriya Doroshenko ◽  
Kseniya Oleynikova ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spectral Characteristics ◽  
Remote Sensing Data ◽  
Field Studies ◽  
Spatial Characteristics ◽  
Sensing Data ◽  
Volgograd Region ◽  
Burnt Areas ◽  
Steppe Fires

The aim of the work is to determine the spatial characteristics of the distribution of the burnt areas of natural zonal landscapes of the Volgograd region with different duration of pyro-factor successions, taking into account the frequency of fires. Based on the previously developed thematic geo-information layers of the steppe fires in the region using overlay operations, the duration of post-pyrogenic periods in the municipal districts of the region was determined, taking into account the total number of fires from 1998–2018. The largest areas covered by fire have a succession duration of 2–3 years and 12–14 years at the beginning of 2019, which corresponds to the fires of 2016–2017 and 2005–2007, respectively. Large areas after the fires of 2001–2002 are located in Ilovlinsky, Kletsky, Pallasovsky and Surovikinsky districts. The largest area of land covered by fire in 2004–2006 is located in the Danilovsky, Ilovlinsky, Olkhovsky and Pallas districts. In our opinion, landscapes affected by fire no more than 5–7 years ago are suitable for the analysis of pyrogenic shifts. These territories are located in Frolovsky, Chernyshkovsky, Kotovsky, Ilovlinsky, Pallasovsky, Leninsky, Kamyshinsky, Staropoltavsky districts. The results will serve as the basis for field studies and the analysis of the spectral characteristics of overgrowing burns from remote sensing materials.

scholarly journals FORECASTING OF STEPPE FIRES USING REMOTE SENSING DATA OF TIME SERIES

2020 ◽  
Vol 1 (№12 2020) ◽  
pp. 15-19
Author(s):  
V.M. Goryaev ◽  
D.B. Bembitov ◽  
E.V. Sumyanova ◽  
E.O. Uchurova ◽  
S.S. Sarginov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Steppe Fires

An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States

2015 ◽  
Vol 24 (1) ◽  
pp. 70 ◽  
Author(s):  
Aaron M. Sparks ◽  
Luigi Boschetti ◽  
Alistair M. S. Smith ◽  
Wade T. Tinkham ◽  
Karen O. Lannom ◽  
...  
Keyword(s):  
Great Basin ◽  
Accuracy Assessment ◽  
Burned Area ◽  
Arid Environments ◽  
Visual Interpretation ◽  
Mapping Accuracy ◽  
Commission Errors ◽  
Shrub Steppe ◽  
Area Product ◽  
Steppe Fires

Although fire is a common disturbance in shrub–steppe, few studies have specifically tested burned area mapping accuracy in these semiarid to arid environments. We conducted a preliminary assessment of the accuracy of the Monitoring Trends in Burn Severity (MTBS) burned area product on four shrub–steppe fires that exhibited varying degrees of within-fire patch heterogeneity. Independent burned area perimeters were derived through visual interpretation and were used to cross-compare the MTBS burned area perimeters with classifications produced using set thresholds on the Relativised differenced Normalised Burn Index (RdNBR), Mid-infrared Burn Index (MIRBI) and Char Soil Index (CSI). Overall, CSI provided the most consistent accuracies (96.3–98.6%), with only small commission errors (1.5–4.4%). MIRBI also had relatively high accuracies (92.2–97.9%) and small commission errors (2.1–10.8%). The MTBS burned area product had higher commission errors (4.3–15.5%), primarily due to inclusion of unburned islands and fingers within the fire perimeter. The RdNBR burned area maps exhibited lower accuracies (92.9–96.0%). However, the different indices when constrained by the MTBS perimeter provided variable results, with CSI providing the highest and least variable accuracies (97.4–99.1%). Studies seeking to use MTBS perimeters to analyse trends in burned area should apply spectral indices to constrain the final burned area maps. The present paper replaces a former paper of the same title (http://dx.doi.org/10.1071/WF13206), which was withdrawn owing to errors discovered in data analysis after the paper was accepted for publication.

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