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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

Volumes:
Volumen 52, 2020 Volumen 51, 2019 Volumen 50, 2018 Volumen 49, 2017 Volumen 48, 2016 Volumen 47, 2015 Volumen 46, 2014 Volumen 45, 2013 Volumen 44, 2012 Volumen 43, 2011 Volumen 42, 2010 Volumen 41, 2009 Volumen 40, 2008 Volumen 39, 2007 Volumen 38, 2006 Volumen 37, 2005 Volumen 36, 2004 Volumen 35, 2003 Volumen 34, 2002 Volumen 33, 2001 Volumen 32, 2000 Volumen 31, 1999 Volumen 30, 1998 Volumen 29, 1997 Volumen 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i3.40
pages 40-56

Project of Eurasian Segment of the New System of Forest Fire Risk Prediction Based on Information and Computer Technologies

Nikolay V. Baranovskiy
National Research Tomsk Polytechnic University, Tomsk, Russia

SINOPSIS

The requirements to be met by a modern system for prediction of fire risk to forests of Eurasia are formulated. The conceptual base for development of such system for territory of the Russian Federation (or other CIS country) is considered. Integration of gathering, storage and processing information subsystems in the united hardware and software complex is offered. Program realizations of the deterministic-probabilistic technique of the forest fire risk prediction are offered as software. The questions of creation of the interstate standard of a forest fire risk prediction technique are discussed.


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