Data mining of the risk of natural fires based on geoinformation technologies

Authors

  • Віктор Валентинович Путренко National Technical University of Ukraine «Kyiv Polytechnic Institute», 37 Peremohy ave., Kyiv, Ukraine, 03056, Ukraine https://orcid.org/0000-0002-0239-9241

DOI:

https://doi.org/10.15587/2312-8372.2016.76154

Keywords:

data mining, natural fire, factor analysis, GIS analysis, classification, zoning, risk

Abstract

Natural fires are one of the biggest threats to the economy and population in Ukraine. Due to the limited materials and equipment it is necessary to redistributing them according to the level of danger. Therefore problems of fire risk assessment for the management of fire prevention at the national and regional level remain a problem of management in terms of situational uncertainty.

With a view to its elimination it was proposed based on mathematical tools to conduct data mining classification in Ukraine on grounds of belonging to the fire dangerous area. As the signs were chosen factors influencing the occurrence of natural fires: relief features, climatic characteristics and land cover. As a method was chosen classification features based on the decision tree algorithm C4.5, which allows to use existing classification criteria for classification of the surface cells to a particular class of fire risk.

Further use of the typical tools of GIS based on ArcGis platform allow to obtain the total value of the risk of fire danger based on raster algebra and summarize them for each administrative unit. The implementation of this zoning for Ukraine can detect the most dangerous areas in terms of natural fires and pursue advance training of human resources and preparation of material resources to prevent major damage from fires.

Author Biography

Віктор Валентинович Путренко, National Technical University of Ukraine «Kyiv Polytechnic Institute», 37 Peremohy ave., Kyiv, Ukraine, 03056

Candidate of Geographical Sciences, Senior Researcher

Educational-Scientific Complex «Institute for Applied System Analysis»

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Published

2016-07-26

How to Cite

Путренко, В. В. (2016). Data mining of the risk of natural fires based on geoinformation technologies. Technology Audit and Production Reserves, 4(3(30), 67–72. https://doi.org/10.15587/2312-8372.2016.76154

Issue

Vol. 4 No. 3(30) (2016): Technology Transfer in the Transport Industry. Information and Control Systems. Systems and Control Processes

Section

Systems and Control Processes: Original Research

License

Copyright (c) 2016 Віктор Валентинович Путренко

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