Application of Markov Chain Model on Natural Disasters A Case Study of Fire Outbreak

Abstract

Right from the beginning of life, the importance of fire cannot be over emphasized as man embraces evolution which is accompanied by new innovations, discoveries and technology. Despite its importance, fire outbreak causes negative effects on human being and the society at large. Poor dissemination of information regarding fire disasters, causes of fire disaster, mitigating methods and risk management has led to an increase in exposure the society to greater risk. Therefore, there is a need to predict the location that a fire disaster is likely to occur using Markov chain. The study revealed that fire outbreaks can occur in any place and at a different magnitude, therefore, everybody has to be on guard. The finding also revealed that places that experienced fire disasters will still experience in the future if not properly managed. We recommended that the government should create awareness through advertisement programs, training centers, seminars and encourage the integration of fire disasters into the school curriculum to ensure sufficient and effective fire disaster mitigation and management. Lauretta Emugha George | Nathaniel A. Ojekudo "Application of Markov Chain Model on Natural Disasters: A Case Study of Fire Outbreak" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd40054.pdf Paper URL: https://www.ijtsrd.commathemetics/applied-mathematics/40054/application-of-markov-chain-model-on-natural-disasters-a-case-study-of-fire-outbreak/lauretta-emugha-george

Authors and Affiliations

Lauretta Emugha George | Nathaniel A. Ojekudo

Keywords

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  • EP ID EP695633
  • DOI -
  • Views 64
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How To Cite

Lauretta Emugha George (2021). Application of Markov Chain Model on Natural Disasters A Case Study of Fire Outbreak. International Journal of Trend in Scientific Research and Development, 5(4), -. https://europub.co.uk./articles/-A-695633