Forest fire propagation prediction based on overlapping DDDAS forecasts
MetadataShow full item record
Forest fire devastate every year thousand of hectares of forest around the world. Fire behavior prediction is a useful tool to aid coordination and management of human and mitigation resources when fighting against these kind of hazards. Any fire spread forecast system requires to be fitted with different
kind of data with a high degree of uncertainty, such as for example, me- teorological data and vegetation map among others. The dynamics of this kind of phenomena requires to develop a forecast system with the ability to adapt to changing conditions. In this work two different fire spread forecast systems based on the Dynamic Data Driven Application paradigm are applied and an alternative approach based on the combination of both predictions is presented. This new method uses the computational power provided by high performance computing systems to deliver the predictions under strict real time constraints.
NoteInternational Conference on Computational Science, ICCS 2015 – Computational Science at the Gates of Nature
Is part ofProcedia Computer Science, 2015, vol. 51, p. 1623-1632
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Artès et al., 2016
Showing items related by title, author, creator and subject.
Analysis of factors influencing deployment of fire suppression resources in Spain using artificial neural networks Costafreda Aumedes, Sergi; Cardil Forradellas, Adrián; Molina Terrén, Domingo; Daniel, Sarah N.; Mavsar, Robert; Vega García, Cristina (Italian Society of Silviculture and Forest Ecology (SISEF), 2015)In Spain, the established fire control policy states that all fires must be controlled and put out as soon as possible. Though budgets have not restricted operations until recently, we still experience large fires and ...
Cardil Forradellas, Adrián; Molina Terrén, Domingo (Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), 2013)Aim of study: Large wildland fires (LWF) are major disturbance processes affecting many ecosystems each year. In last decades, socio-economic changes have contributed to major changes in land uses. This study assess trends ...
Cardil Forradellas, Adrián; Molina Terrén, Domingo; Kobziar, L. N. (European Geosciences Union (EGU)Copernicus Publications, 2014)Extreme-temperature events have consequences for human health and mortality, forest disturbance patterns, agricultural productivity, and the economic repercussions of these consequences combined. To gain insight into whether ...