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Title: Selection of fire spread model for Russian fire behavior prediction system

Author: Volokitina, Alexandra V.; Ryan, Kevin C.; Sofronova, Tatiana M.; Sofronov, Mark A.;

Date: 2010

Source: In: Viegas, D. X., ed. Proceedings of the VI International Conference on Forest Fire Research; 15-18 November 2010; Coimbra, Portugal. Coimbra, Portugal: University of Coimbra. 7 p.

Publication Series: Miscellaneous Publication

Description: Mathematical modeling of fire behavior prediction is only possible if the models are supplied with an information database that provides spatially explicit input parameters for modeled area. Mathematical models can be of three kinds: 1) physical; 2) empirical; and 3) quasi-empirical (Sullivan, 2009). Physical models (Grishin, 1992) are of academic interest only because current vegetation monitoring techniques make it virtually impossible to parameterize the model precluding its general application in wildland fire management (Sullivan, 2009). Empirical models (Vonsky, 1957; Amosov, 1964; Korovin, 1969) can give satisfactory results but only for the fires on areas from which experimental data were obtained and generalized.

Keywords: forest fires, fire growth models, fire behavior prediction, information database, GIS

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Volokitina, Alexandra V.; Ryan, Kevin C.; Sofronova, Tatiana M.; Sofronov, Mark A. 2010. Selection of fire spread model for Russian fire behavior prediction system. In: Viegas, D. X., ed. Proceedings of the VI International Conference on Forest Fire Research; 15-18 November 2010; Coimbra, Portugal. Coimbra, Portugal: University of Coimbra. 7 p.

 


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