Modeling fuel break effectiveness in southern Spain wildfires

Background Fuel breaks aim to reduce the energetic progression of a wildfire, facilitating safe and efficient suppression. Changes in fire regimes are creating increasingly complex scenarios in which a higher percentage of wildfires exceed control capabilities, and a significant increase in firefigh...

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Veröffentlicht in:	Fire Ecology 2024-12, Vol.20 (1), p.40, Article 40
Hauptverfasser:	Ortega, Macarena, Silva, Francisco Rodríguez y, Molina, Juan Ramón
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial neural networks Biomedical and Life Sciences Containment Decision making Decision trees Design Ecology Effectiveness Empirical analysis Fire fighting Firefighters Forest & brush fires Forestry Forests Fuels Life Sciences Machine learning Maintenance and repair Neural networks Original Research Prescribed fire Statistical analysis Wildfires Wildland Fire Management Strategy and Effectiveness
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