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dc.contributor.author
Marcuzzi, Ezequiel A.  
dc.contributor.author
González, Marcela Hebe  
dc.contributor.author
Dentoni, María del Carmen  
dc.date.available
2025-05-19T11:52:42Z  
dc.date.issued
2022  
dc.identifier.citation
Marcuzzi, Ezequiel A.; González, Marcela Hebe; Dentoni, María del Carmen; Forecasting the Danger of the Forest Fire Season in North-West Patagonia, Argentina; Springer; 2022; 257-271  
dc.identifier.isbn
978-3-031-04532-5  
dc.identifier.uri
http://hdl.handle.net/11336/261943  
dc.description.abstract
An average of 1300 forest fires are officiallyreported in Argentina annually, triggeredeither by natural or intentional causes. Oncean outbreak has started, topographic andvegetation (fuel) conditions and the weathersituation determine the fire behavior. Thegeneral evolution of fire danger can be monitoredthrough the Fire Weather Index (FWI),part of the Canadian Forest Fire Danger RatingSystem (CFFDRS). This indicator was successfullyimplemented in Argentina since thebeginning of 2000. It is based on temperature,relative humidity, wind intensity, and precipitation.Among its advantages, it allows evaluatingthe possibility of fire ignition, intensity,and spreading. The objective of this work is toachieve a characterization of the danger of thedifferent forest fire seasons in the northernArgentinean Patagonian mountain range,based on Bariloche station data, using theFWI and find a method to forecast the danger.For this purpose, the index was related toatmospheric circulation and sea surface temperaturepatterns that dominate the regionbefore and during the fire season, using thecorrelation method. It allowed defining predictorsthat were used to generate somestatistical models, to predict the dangerousnessof the future seasons. Sea surface temperatures,anomalies of wind, and the AntarcticOscillation were the best predictors for thispurpose. Some derived statistical models arevery useful tools to improve the decisionmakingregarding the coming fire seasons inthis particular area. The incorporation ofnon-linear techniques seems to improve theefficiency of linear regression models.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
incendio  
dc.subject
meteorologia  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Forecasting the Danger of the Forest Fire Season in North-West Patagonia, Argentina  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2025-05-14T13:09:09Z  
dc.journal.pagination
257-271  
dc.journal.pais
Alemania  
dc.description.fil
Fil: Marcuzzi, Ezequiel A.. Secretaría de Ambiente y Desarrallo Sustentable de la Nación; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina  
dc.description.fil
Fil: González, Marcela Hebe. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina  
dc.description.fil
Fil: Dentoni, María del Carmen. Secretaría de Ambiente y Desarrallo Sustentable de la Nación; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-031-04532-5_13  
dc.conicet.paginas
500  
dc.source.titulo
Applied Geomorphology and Contemporary Issues