Abstract
A web-oriented geoinformation system for forest fire danger prediction based on a probabilistic fire danger criteria is described in this chapter. A new method for determining the probabilistic fire danger criteria is described. A new formula for fire danger assessment for the j-th time interval of forest fire season is obtained using the basic principles of probability theory. A definition of probability using frequency of events is used to calculate fire danger. Statistical data for certain forests is used to determine all the multipliers in the formula for fire danger. The system is developed in the Django platform in the programming language Python. The system architecture, based on Django’s Model-View-Template, is described. The software package that runs on the server allows a set of parameters describing forest fire danger to be obtained and used for visualisation. A part of forest fire risk map which correspond to certain value of fire danger is depicted. Estimation of fire risk helps to identify the areas most prone to fire ignition, so as to efficiently allocate forest fire fighting resources.
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Acknowledgments
This work is undertaken with financial support from a state grant with the Ministry of Education and Science within FCP “Researches and developments in priority directions of development of a scientifically-technological complex of Russia on 2007–2013”. The state contract No. 14.515.11.0106.
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Baranovskiy, N., Zharikova, M. (2014). A Web-Oriented Geoinformation System Application for Forest Fire Danger Prediction in Typical Forests of the Ukraine. In: Bandrova, T., Konecny, M., Zlatanova, S. (eds) Thematic Cartography for the Society. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-08180-9_2
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DOI: https://doi.org/10.1007/978-3-319-08180-9_2
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