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Priprava prostorskih podatkov, primernih za simulacijo širjenja požarov na prostem : magistrsko delo
Munda, Jasna (Author), Turk, Goran (Mentor) More about this mentor... This link opens in a new window, Drobne, Samo (Co-mentor)

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Abstract
Učinkovitost požarnih intervencij temelji na poznavanju hitrosti in smeri širjenja požara. Za izračun uporabimo ustrezne podatke. Pregledali smo, katere vhodne podatke uporabljajo že obstoječi požarni modeli in preverili kateri podatki so na voljo, kdo jih zbira in ali so dovolj kakovostni. Za simulacijo požara bi uporabili podatke o lokaciji in času vžiga, digitalni model višin, podatke o trenutnih meteoroloških vrednostih in vremensko napoved, podatke o dejanski rabi ter podatke o gorivih na območju gozda. Vhodne podatke je potrebno ustrezno pripraviti. Pripravo podatkov smo predstavili za območje v OE Sežana, ki spada med požarno zelo ogrožene.

Language:Slovenian
Keywords:požar v naravi, širjenje požara, simulacija, podatki, vreme, digitalni model višin, gozd, dejanska raba, krigiranje
Work type:Master's thesis/paper (mb22)
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2018
COBISS.SI-ID:8576353 Link is opened in a new window
Views:127
Downloads:102
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Secondary language

Language:English
Title:Preparing Spatial Data Suitable for Outdoor Fire Spread Simulation : master thesis
Abstract:
The efficiency of fire interventions relies on knowing the speed and direction of fire spreading. The calculation has to be based on relevant data. We examined the input data used by existing fire models, verifying which data are available, who collects them and whether they are of sufficient quality. When preparing a fire spread simulation, we would use data about the location and time of ignition, digital elevation model, current meteorological data, the weather forecast, land use and forest fuels. The input data needs to be adequately prepared. We present the preparation of data for the OE Sežana, a high-risk fire zone.

Keywords:outdoor fire, fire spreading, simulation, data, weather, digital elevation model, forest, land use, kriging

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