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Spatial planning of fire-agency stations as a function of wildfire likelihood in Thasos, Greece

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Autor
Sakellariou S., Parisien M.-A., Flannigan M., Wang X., de Groot B., Tampekis S., Samara F., Sfougaris A., Christopoulou O.
Fecha
2020
Language
en
DOI
10.1016/j.scitotenv.2020.139004
Materia
Decision making
Fire extinguishers
Fire protection
Vehicles
Burn probabilities
Different time windows
Financial constraints
Financial resources
Natural phenomena
Optimal locations
Preventive measures
Spatial optimization
Fires
computer simulation
decision making
disaster management
fire management
numerical model
socioeconomic impact
spatial planning
wildfire
Article
economic aspect
environmental planning
environmental protection
Greece
model
organization
priority journal
probability
process optimization
simulation
wildfire
Aegean Islands
Eastern Macedonia and Thrace
Greece
Thassos
Elsevier B.V.
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Resumen
Even though wildfires constitute a natural phenomenon, they may have severe implications with respect to the socioeconomic structure of the affected population and the ecological wealth of a territory, especially when they burn under high intensities. Timing of the initial attack is thus crucial to fire control in areas that fires are considered to be under high threat of burning. The aim of this paper is to investigate the combined use of simulation modeling and spatial optimization to assess the pre-positioning of fire-management resources on a small Greek island, Thasos, based on the current and desired fire agency capabilities, maximization of environmental protection, and rationalization of financial resources. The estimation of burn probability (BP) depicted specific areas of high fire hazard in the southern, central, and western part of the island, where essential preventive measures should be undertaken. Based on this result, BP was then used as a primary input for the assessment of optimal locations of fire operation agencies in order to achieve the maximal coverage under certain (already available) and minimum number of fire-fighting vehicles in different time windows. The results generated three differentiated optimal location schemes [8 available vehicles within either 10 (immediate response time) or 31 min (average response time) with the current fire resources; 19 and 2 required vehicles within 10 and 31 min, respectively, based on a minimum number of fire resources]. This type of information enables us to propose a relocation of the current fire agency in a southern town of the island. The flexibility and interaction of the models provide a framework for appropriate decision making under a set of political and financial constraints. © 2020 Elsevier B.V.
URI
http://hdl.handle.net/11615/78686
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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