Please use this identifier to cite or link to this item: https://hdl.handle.net/10316.2/44645
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dc.contributor.authorRodríguez y Silva, Francisco
dc.contributor.authorHand, Michael
dc.date.accessioned2018-11-10T19:24:10Z
dc.date.accessioned2020-09-05T02:04:34Z-
dc.date.available2018-11-10T19:24:10Z
dc.date.available2020-09-05T02:04:34Z-
dc.date.issued2018-
dc.identifier.isbn978-989-26-16-506 (PDF)
dc.identifier.urihttps://hdl.handle.net/10316.2/44645-
dc.description.abstractSociety, forest landscapes and fires constitute a triangle of interaction with important requirements and consequences. These interdependencies offer a field for the application and development of research with a clear focus on social sciences, in which the fire prevetion, risk analysis and socio-economic conditions are shaped as basic pillars. Environmental dryness, climate and the consequences of fire exclusion, aggravated by urban growth in forest areas, with absence of preventive norms and under a scenario of high forest fires risk creates an environment susceptible to large forest fires that can affect the well-being of citizens. In this sense, the authorities and goverment are commiting large budgetary investments for the prevention and suppression of wildfires. The knowledge advances of the dynamics of fire behavior have allowed to dimension the expansive capacity of fire and, as a function of it, to identify a priori the potential impacts. In this sense, the integration of this knowledge together with social and economic aspects, have allowed us to advance in the studies of costs and benefits, spatial-temporal determination of risks in probabilistic terms and others such as the evaluation of the fire severity, the operational strategy, the reduction of uncertainty and the help in the decision making process. The present work explores the development of a methodology to incorporate fire suppression experience, detailed historical data on forest fire management from Mediterranean ecosystems, and empirical models to analyze efficiency and production. The resulting models of wildfire suppression production provides a basis for generating a conceptual framwork to study suppression operations. The development of decision support tools based on econometric models of fire suppression production functions requires the selection of variables that define and determine the problem. The present work includes the main methodological considerations for the definition and development of an econometric model based on the study of efficiency and productivity through the development of production functions that can predict the operational suppression yields in different scenarios of forest fires (meters per hour of fire spreading containment and suppression). The resulting model may represent an opportunity to aid in the development of suppression operations plans, helping the fire managers determine the production rates of the resources dispatched to fire suppression.eng
dc.language.isoeng-
dc.publisherImprensa da Universidade de Coimbrapor
dc.relation.ispartofhttp://hdl.handle.net/10316.2/44517por
dc.rightsopen access-
dc.subjectSuppressions operationseng
dc.subjectproduction functioneng
dc.subjecteconometric modelseng
dc.subjectfire weather dangereng
dc.subjectproduction rateseng
dc.subjectsuppression costseng
dc.subjectground resourceseng
dc.subjectaerial resourceseng
dc.subjectsuppression difficulty indexeng
dc.titleModeling the productivity of forest fire suppression operations using production functions: a methodological approachpor
dc.typebookPartpor
uc.publication.firstPage1146-
uc.publication.lastPage1154-
uc.publication.locationCoimbrapor
dc.identifier.doi10.14195/978-989-26-16-506_128-
uc.publication.sectionChapter 6 - Socio Economic Issuespor
uc.publication.digCollectionPBpor
uc.publication.orderno128-
uc.publication.areaCiências da Engenharia e Tecnologiaspor
uc.publication.bookTitleAdvances in forest fire research 2018-
uc.publication.manifesthttps://dl.uc.pt/json/iiif/10316.2/44645/201012/manifest?manifest=/json/iiif/10316.2/44645/201012/manifest-
uc.publication.thumbnailhttps://dl.uc.pt/retrieve/11017086-
uc.publication.parentItemId55072-
uc.itemId68210-
item.grantfulltextopen-
item.fulltextWith Fulltext-
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