Εμφάνιση απλής εγγραφής

dc.creatorSakellariou S., Parisien M.-A., Flannigan M., Wang X., de Groot B., Tampekis S., Samara F., Sfougaris A., Christopoulou O.en
dc.date.accessioned2023-01-31T09:52:57Z
dc.date.available2023-01-31T09:52:57Z
dc.date.issued2020
dc.identifier10.1016/j.scitotenv.2020.139004
dc.identifier.issn00489697
dc.identifier.urihttp://hdl.handle.net/11615/78686
dc.description.abstractEven 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.en
dc.language.isoenen
dc.sourceScience of the Total Environmenten
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85084544507&doi=10.1016%2fj.scitotenv.2020.139004&partnerID=40&md5=9197a48e43b5586eb889d7d2c676ee99
dc.subjectDecision makingen
dc.subjectFire extinguishersen
dc.subjectFire protectionen
dc.subjectVehiclesen
dc.subjectBurn probabilitiesen
dc.subjectDifferent time windowsen
dc.subjectFinancial constraintsen
dc.subjectFinancial resourcesen
dc.subjectNatural phenomenaen
dc.subjectOptimal locationsen
dc.subjectPreventive measuresen
dc.subjectSpatial optimizationen
dc.subjectFiresen
dc.subjectcomputer simulationen
dc.subjectdecision makingen
dc.subjectdisaster managementen
dc.subjectfire managementen
dc.subjectnumerical modelen
dc.subjectsocioeconomic impacten
dc.subjectspatial planningen
dc.subjectwildfireen
dc.subjectArticleen
dc.subjecteconomic aspecten
dc.subjectenvironmental planningen
dc.subjectenvironmental protectionen
dc.subjectGreeceen
dc.subjectmodelen
dc.subjectorganizationen
dc.subjectpriority journalen
dc.subjectprobabilityen
dc.subjectprocess optimizationen
dc.subjectsimulationen
dc.subjectwildfireen
dc.subjectAegean Islandsen
dc.subjectEastern Macedonia and Thraceen
dc.subjectGreeceen
dc.subjectThassosen
dc.subjectElsevier B.V.en
dc.titleSpatial planning of fire-agency stations as a function of wildfire likelihood in Thasos, Greeceen
dc.typejournalArticleen


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