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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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

ABSTRACT

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.