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American Journal of Innovative Research & Applied Sciences
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| | ARTICLES | Am. J. innov. res. appl. sci. Volume 5, Issue 1, Pages 69-76 (July 2017) |
| Research Article |
American Journal of innovative
Research & Applied Sciences
Research & Applied Sciences
ISSN 2429-5396 (Online)
OCLC Number: 920041286
OCLC Number: 920041286
|
| JULY | VOLUME 5 | N° 1 | 2017 |
Authors Contact
*Correspondant author and authors Copyright © 2017:
|Ilene Mahfoud 1| Mahmoud Ali 1 | and | Yakzan Marouf 1|
|Ilene Mahfoud 1| Mahmoud Ali 1 | and | Yakzan Marouf 1|
Affiliation.
1. Ecology and Forestry Department | Faculty of Agriculture | Tishreen University | Lattakia | Syria |
1. Ecology and Forestry Department | Faculty of Agriculture | Tishreen University | Lattakia | Syria |
This article is made freely available as part of this journal's Open Access: ID | Ilene-ManuscriptRef.1-ajira100617 |
ABSTRACT
Background: Forest fires play a critical role in landscape degradation, so fire risk estimation is vital to reduce its negative impacts. In Syria, forest fires are one of the greatest risks, and they are one of the dominant disturbances in the forests of Lattakia governorate, therefore a forest fire risk map can be an appropriate process to find solutions. Objectives: This study is aimed at mapping Forest Fire Danger Index (FFDI) in Lattakia governorate, by estimating different factors that can contribute significantly to the ignition and spread of a forest fire. Methods: to produce Forest Fire Danger Map, all factors affecting forest fire in study area (weather, topography, vegetation fuel, human activities and potential factors) were studied using remote sensing (RS) and geographic information systems (GIS] technologies. The forest fires danger zones were delineated by creating GIS layers that represent all studied factors, assigning subjective weights to all layers according to their sensitivity to fire. Results: In this study, the value of FFDI ranged between 16 and 75, when the value of FFDI reached 45, the forest fires danger becomes high and very high. The most dangerous areas are concentrated in north-west and middle-east of study area that is due to high vegetation and topography danger indices while less dangerous areas are located in the south because of low density of forest cover. Conclusion: The forest fire danger map obtained forms an important tool for precautionary measures for Lattakia forests protection.
Keywords: Forest Fire danger, weather danger index, topographic danger index, fuel danger index, potential fire danger index, Lattakia forest.
Background: Forest fires play a critical role in landscape degradation, so fire risk estimation is vital to reduce its negative impacts. In Syria, forest fires are one of the greatest risks, and they are one of the dominant disturbances in the forests of Lattakia governorate, therefore a forest fire risk map can be an appropriate process to find solutions. Objectives: This study is aimed at mapping Forest Fire Danger Index (FFDI) in Lattakia governorate, by estimating different factors that can contribute significantly to the ignition and spread of a forest fire. Methods: to produce Forest Fire Danger Map, all factors affecting forest fire in study area (weather, topography, vegetation fuel, human activities and potential factors) were studied using remote sensing (RS) and geographic information systems (GIS] technologies. The forest fires danger zones were delineated by creating GIS layers that represent all studied factors, assigning subjective weights to all layers according to their sensitivity to fire. Results: In this study, the value of FFDI ranged between 16 and 75, when the value of FFDI reached 45, the forest fires danger becomes high and very high. The most dangerous areas are concentrated in north-west and middle-east of study area that is due to high vegetation and topography danger indices while less dangerous areas are located in the south because of low density of forest cover. Conclusion: The forest fire danger map obtained forms an important tool for precautionary measures for Lattakia forests protection.
Keywords: Forest Fire danger, weather danger index, topographic danger index, fuel danger index, potential fire danger index, Lattakia forest.
USING REMOTE SENSING AND GIS TECHNOLOGIES TO MAP FOREST FIRE DANGER IN LATTAKIA GOVERNORATE (SYRIA)
| Ilene Mahfoud | Mahmoud Ali | and | Yakzan Marouf |. Am. J. innov. res. appl. sci. 2017; 5(1):69-76.
| PDF FULL TEXT | |Received | 10 June 2017| |Accepted | 23June 2017| |Published 02 July 2017|
| Ilene Mahfoud | Mahmoud Ali | and | Yakzan Marouf |. Am. J. innov. res. appl. sci. 2017; 5(1):69-76.
| PDF FULL TEXT | |Received | 10 June 2017| |Accepted | 23June 2017| |Published 02 July 2017|