African Journal of
Environmental Science and Technology

  • Abbreviation: Afr. J. Environ. Sci. Technol.
  • Language: English
  • ISSN: 1996-0786
  • DOI: 10.5897/AJEST
  • Start Year: 2007
  • Published Articles: 953

Full Length Research Paper

Bushfires spread modelling over Malea in Northeastern Guinea

Tamba Nicolas MILLIMONO
  • Tamba Nicolas MILLIMONO
  • Laboratoire de Physique de l'Atmosphère et de l'Ocean-Siméon Fongang-UCAD /ESP/LAPOSF Senegal.
  • Google Scholar
Daouda BADIANE
  • Daouda BADIANE
  • Laboratoire de Physique de l'Atmosphère et de l'Ocean-Siméon Fongang-UCAD /ESP/LAPOSF Senegal.
  • Google Scholar
Moussa DIAKHATE
  • Moussa DIAKHATE
  • Laboratoire de Physique de l'Atmosphère et de l'Ocean-Siméon Fongang-UCAD /ESP/LAPOSF Senegal.
  • Google Scholar
Alassane BAH
  • Alassane BAH
  • Laboratoire de Physique de l'Atmosphère et de l'Ocean-Siméon Fongang-UCAD /ESP/LAPOSF Senegal.
  • Google Scholar
Saïdou Moustapha SALL
  • Saïdou Moustapha SALL
  • Laboratoire de Physique de l'Atmosphère et de l'Ocean-Siméon Fongang-UCAD /ESP/LAPOSF Senegal.
  • Google Scholar
Ibra TOURE
  • Ibra TOURE
  • Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Ouagadougou Burkina Faso.
  • Google Scholar
Idrissa DIABY
  • Idrissa DIABY
  • Laboratoire d'Enseignement et de Recherche en Energétique Appliquée-UGANC /LEREA, Guinea.
  • Google Scholar


  •  Received: 17 January 2019
  •  Accepted: 13 February 2019
  •  Published: 30 April 2019

Abstract

Bush fires are increasingly becoming a threat to Guinean ecosystems and their understanding is a big challenge to scientists and environmental managers. Using the FARSITE model (Fire Area Simulator), this paper presents the prediction of the spread and characteristics of bush fires in the savannahs of North-eastern Guinea, specifically in Malea/Siguiri prefecture. Inputs, vegetation and topography dataset from satellite imagery (30 m resolution, Landsat and SRTM respectively) as well as in-situ meteorological data (wind, temperature and humidity) were used. These data obtained from the boundaries of the area of study were prepared using Geographic Information System (GIS). The burning time and the ignition points were fixed while admitting 3 scenarios: spread of fire in a plain without wind; spread on hills without wind effect and spread with wind effect. The results show that, in these savannahs, the intensity of the fire lines can reach 4133,3 KW/m under the effect of winds. Without winds, a decrease of 69% over plains and 68% over hills is noted. The amount of heat released could go up to 38000 KJ/m2 with the wind effect. While, without the wind effect a decrease of 10 and 9% over the plains and hills is observed respectively. Eventually, the speed of propagation reaches 8 m/min (0.5 km/h), but without the wind, it would decrease up to 73  and 61% over plains and hills, respectively. This study could be improved to serve as a decision support tool for the management of ecosystems North-eastern Guinea.

 

Key words: Fire area, prediction modeling, simulator, ecosystem managers, Guinea.