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Kalajoen 2021 metsäpalon mallintaminen stokastisella soluautomaatilla

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Authors
Vanas, Linus
Date
2023
Discipline
TietotekniikkaMathematical Information Technology
Copyright
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.

 
Maastopalojen aiheuttamien vahinkojen minimoimiseksi rajallinen sammutusresurssi täytyy kohdistaa oikein. Tässä tutkielmassa tuotettiin metsäpalojen leviämistä ennustava stokastinen soluautomaattimalli, joka hyödyntää suomalaista avointa dataa. Mallilla simuloitiin Kalajoen 2021 metsäpalon kulkua kohtuullisin tuloksin. Mallilla on potentiaalia paremman, suomalaista avointa dataa hyödyntävän, maastopalomallin kehityksen lähtökohdaksi.
 
To minimize damage caused by wildfires, the limited firefighting resources must be used correctly. In this thesis, a stochastic cellular automaton model for predicting the spread of forest fires using Finnish open data was produced. The model was used to simulate the Kalajoki 2021 forest fire with moderate results. The model has potential as a basis for a better wildfire model using Finnish open data.
 
Keywords
metsäpalot mallintaminen soluautomaatit maastopalot
URI

http://urn.fi/URN:NBN:fi:jyu-202305253285

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