Dynamic of сoniferous forests areas in Baikal region by classification of Landsat time series

Yankovich, Elena P.; Yankovich, Ksenia S.

doi:10.1117/12.2573671

Cited by 1 publication

(1 citation statement)

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“…This moisture evaporation behavior is caused by a model suggesting that water vapors are instantaneously removed from the forest fuel element. Thus, analysis of the simulation results showed that a sufficiently large number of soot particles are formed during the thermal decomposition of dry organic matter, and this contribution should be taken into account when assessing soot particle emissions in order to predict, monitor and assess forest fire danger [71][72][73].…”

Section: Resultsmentioning

confidence: 99%

Mathematical Simulation of Forest Fuel Pyrolysis in One-Dimensional Statement Taking into Account Soot Formation

Baranovskiy

Kirienko

2021

Processes

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Pyrolysis (thermal decomposition) is considered as the most important stage of a forest fire before direct forest fuel ignition. This process is accompanied by soot particle formation. Such particles have a negative impact on public health in the vicinity of forest fires. The purpose of this article was to investigate the heat and mass transfer process occurring in a typical forest fuel element (birch leaf). The pyrolysis and soot formation processes were taken into account, and various forest fire scenarios were considered. Computational experiments were carried out using the high-level programming language Delphi. Heat and mass transfer processes were described by nonlinear non-stationary differential heat conduction equations with corresponding initial and boundary conditions. The differential equations were solved by the finite difference method. Nonlinearity was resolved using a simple iteration. The main results of the research were (1) physical and mathematical models proposed for modeling forest fuel pyrolysis, taking into account soot formation and conditions corresponding to various forest fires; (2) a computer program coded in the high-level programming language Delphi; (3) the obtained temperature distributions over leaf thickness; (4) volume fractions obtained for various components dependent on time and space coordinates. The qualitative analysis of the dependencies showed that the temperature distributions in the birch leaf structure are similar for all forest fire types and differ only in absolute value. The intensity of the soot formation process directly depends on the forest fire type. The presented results should be useful in predicting and assessing forest fire danger, including near the facilities of the Russian Railways.

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Section: Resultsmentioning

confidence: 99%