Geospatial modelling of forest fire risk and mitigation strategies: a case study


Bouta A., Laaribya S., Brache O., DİNDAROĞLU T.

INTERNATIONAL JOURNAL OF GLOBAL WARMING, no.2, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Publication Date: 2024
  • Doi Number: 10.1504/ijgw.2024.142423
  • Journal Name: INTERNATIONAL JOURNAL OF GLOBAL WARMING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, INSPEC, Veterinary Science Database, Civil Engineering Abstracts
  • Karadeniz Technical University Affiliated: Yes

Abstract

This study models forest fire risks and predicts fire distribution using GIS in Izar & egrave;ne Forest, Ouazzane Province, Morocco. The A. Dagorne and Y. Duche model, combined with indices for topography, vegetative flammability, and human activity, was weighted and calibrated, achieving 91.67% accuracy. The maps showed 34% of the area, mainly the western, northwest, southern, and South Eastern regions, had extremely high fire risk, while 26% had low susceptibility. Additionally, 56% of the road network and 68% of the population were in high-risk areas, underscoring the need for effective forest fire management planning.