[ Cartographie de la susceptibilité des incendies de forêt à l'aide de données de télédétection, des analyses SIG et AHP (étude de cas de Souhan, Algérie) ]
Volume 28, Issue 4, March 2020, Pages 885–894
Brahim Elkhalil TAIBI1, Hadda DRIDI2, and Rabah BOUHATA3
1 Department of Geography and Spatial Planning, Batna 2 University, Institute of Earth and Universe Sciences, Batna, Algeria
2 Department of Geography and Spatial Planning, Batna 2 University, Institute of Earth and Universe Sciences, Batna, Algeria
3 Department of Geography and Spatial Planning, Batna 2 University, Institute of Earth and Universe Sciences, Batna, Algeria
Original language: French
Copyright © 2020 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The ecosystem loses significant areas of forests each year because of forest fires, in Algeria, many of those fires are registered, especially during the summer period, this situation has become a national concern, because of the great losses of these vegetal covers every year. The municipality of Souhane is greatly affected by forest fires. The purpose of this study is to make a susceptibility map for the risks of fires in the municipality of Souhane, this by combining GIS and AHP analysis. several studies have already proved the effectiveness of this method. Six factors were selected; We calculated their weights using the AHP method. The results indicated that 51% of this municipality total area are included in the areas of high and very high susceptibility. The fires that occurred in the year 2019 confirmed the relevance of those results, in addition, the combustion index (NBR) calculation has shown that the areas affected by forest fires are those that are once again, located in the areas of high and very high susceptibility. Thus, those are interesting results and this study can help the fire department to improve its forest fire prevention techniques for the municipality of Souhane.
Author Keywords: forest fire, susceptibility, Geographic information systems (GIS), analytic hierarchy process (AHP), combustibility index (NBR), Souhane.
Volume 28, Issue 4, March 2020, Pages 885–894
Brahim Elkhalil TAIBI1, Hadda DRIDI2, and Rabah BOUHATA3
1 Department of Geography and Spatial Planning, Batna 2 University, Institute of Earth and Universe Sciences, Batna, Algeria
2 Department of Geography and Spatial Planning, Batna 2 University, Institute of Earth and Universe Sciences, Batna, Algeria
3 Department of Geography and Spatial Planning, Batna 2 University, Institute of Earth and Universe Sciences, Batna, Algeria
Original language: French
Copyright © 2020 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The ecosystem loses significant areas of forests each year because of forest fires, in Algeria, many of those fires are registered, especially during the summer period, this situation has become a national concern, because of the great losses of these vegetal covers every year. The municipality of Souhane is greatly affected by forest fires. The purpose of this study is to make a susceptibility map for the risks of fires in the municipality of Souhane, this by combining GIS and AHP analysis. several studies have already proved the effectiveness of this method. Six factors were selected; We calculated their weights using the AHP method. The results indicated that 51% of this municipality total area are included in the areas of high and very high susceptibility. The fires that occurred in the year 2019 confirmed the relevance of those results, in addition, the combustion index (NBR) calculation has shown that the areas affected by forest fires are those that are once again, located in the areas of high and very high susceptibility. Thus, those are interesting results and this study can help the fire department to improve its forest fire prevention techniques for the municipality of Souhane.
Author Keywords: forest fire, susceptibility, Geographic information systems (GIS), analytic hierarchy process (AHP), combustibility index (NBR), Souhane.
Abstract: (french)
L’écosystème perd chaque année des surfaces non négligeables de zones forestières à cause des incendies de forêt, en Algérie, un grand nombre de ces feux sont enregistrés, principalement pendant la période estivale, au point de devenir une préoccupation nationale à cause des grandes pertes de ces couverts végétaux chaque année, la commune de Souhane est grandement touchée par les incendies de forêt la forêt en raison de sa nature forestière. Le but de cette étude est d’établir une carte de susceptibilité aux risques d’incendies dans la commune de Souhane, et ce, en associant le système d’information géographique et la méthode AHP, plusieurs études ont prouvé l’efficacité de cette méthode pour définir la susceptibilité face aux incendies, six facteurs ont été sélectionnés, puis leurs poids calculée par la méthode AHP. Les résultats ont indiqué que 51% de la surface totale de cette commune sont inclues dans des zones dites de susceptibilité élevée et de susceptibilité très élevée, les incendies survenues au cours de l’année 2019 venant confirmer la pertinence des résultats obtenus, de plus, le calcul de l’indice de combustion a montré que les zones les plus touchées par le feu sont celles se situant encore une fois, dans les zones dites de susceptibilité élevée et très élevée. Les résultats obtenus sont d’un grand intérêt, cette étude pouvant aider les services de protection civile à améliorer leurs méthodes de prévention contre les incendies dans la commune de Souhane.
Author Keywords: feux de forêts, susceptibilité, système d’information géographique (SIG), Processus d'analyse hiérarchique (AHP), indice de combustibilité (NBR), Souhane.
How to Cite this Article
Brahim Elkhalil TAIBI, Hadda DRIDI, and Rabah BOUHATA, “Forest fire susceptibility mapping using remote sensing data, GIS and AHP analysis (Case study: Souhan, Algeria),” International Journal of Innovation and Applied Studies, vol. 28, no. 4, pp. 885–894, March 2020.
