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Using cellular automata in modelling of the fire front propagation through rough terrain
Author(s) -
А. В. Павлова,
S.E. Rubtsov,
I.S. Telyatnikov
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/579/1/012104
Subject(s) - cellular automaton , terrain , grid , computer science , geographic information system , meteorology , settlement (finance) , atmosphere (unit) , environmental science , geology , geography , remote sensing , cartography , artificial intelligence , geodesy , world wide web , payment
The authors created a cellular automata model simulating the dynamics of a fire source for rough terrain on a triangular grid, including cases of artificial and natural obstacles. The model can be used as a part of a complex of models describing fire propagation and migration of polluting aerosol and gaseous products of combustion in the atmosphere. It is applicable for predicting a possibility of occurrence, intensity, scenario of fire propagation, as well as assessing its impact on environment and also in decision support systems for the prevention of emergency fire situations. For the model description of real settlement areas, we used a digital model of the territory of the Krasnodar Territory built using geographic information systems.

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