Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 21, issue 12
Articles | Volume 21, issue 12
https://doi.org/10.5194/nhess-21-3663-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3663-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 12
Research article
 | 
03 Dec 2021
Research article |  | 03 Dec 2021

Data-based wildfire risk model for Mediterranean ecosystems – case study of the Concepción metropolitan area in central Chile

Edilia Jaque Castillo, Alfonso Fernández, Rodrigo Fuentes Robles, and Carolina G. Ojeda

Viewed

Total article views: 2,851 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,968 804 79 2,851 90 53 67
  • HTML: 1,968
  • PDF: 804
  • XML: 79
  • Total: 2,851
  • Supplement: 90
  • BibTeX: 53
  • EndNote: 67
Views and downloads (calculated since 12 May 2021)
Cumulative views and downloads (calculated since 12 May 2021)

Viewed (geographical distribution)

Total article views: 2,851 (including HTML, PDF, and XML) Thereof 2,665 with geography defined and 186 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
Wildfires pose risks to lives and livelihoods in many regions of the world. Particularly in Chile's central-south region, climate change, widespread land use change, and urban growth tend to increase the likelihood of fire occurrence. Our work focused on the Concepción metropolitan area, where we developed a model using machine learning in order to map wildfire risks. We found that the interface between urban areas and forestry plantations presents the highest risks.
Read more
Altmetrics
Final-revised paper
Preprint