Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/18336
Title: MODELLING OF FOREST FIRE USING NON-CONVENTIONAL METHODS
Authors: Jogi, Kunal
Keywords: Fire propagation; Fire intensity; Stochastic model; Deterministic model; Temperature distribution; Stages of burning; Flame-length; Wind effect
Issue Date: May-2023
Publisher: IIT, Roorkee
Abstract: Forest fires have been an area of global concern since the last few decades. Modeling of forest fires helps the scientists and engineers to understand the propagation and intensity of the fire and plan the fire-fighting strategies accordingly. This paper presents a hybrid model to predict the probability of burning of a regular tree. Stochastic approach is used to understand the forest fire spread and a deterministic approach is used to evaluate the stochastic model parameters. Starting with the temperature distribution around a burning tree using energy balance principles, we proceed to see the effect of multiple burning trees around any regular tree. Although, homogeneous tree species is assumed for simplicity, this model can be extended to the heterogeneous case. Variation of flame-length in different directions due to wind effect is also studied. This model might prove useful in predicting the direction and determining the rate of propagation of forest fires.
URI: http://localhost:8081/jspui/handle/123456789/18336
Research Supervisor/ Guide: Ojha, Deepak Kumar
metadata.dc.type: Dissertations
Appears in Collections:MASTERS' THESES (Chemical Engg)

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