Analysis of Natural and Technogenic Safety of the Krasnoyarsk Region Based on Data Mining Techniques

  • Tatiana PenkovaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9975)


This paper presents a comprehensive analysis of natural and technogenic safety indicators of the Krasnoyarsk region in order to explore geographical variations and patterns in occurrence of emergencies by applying the multidimensional analysis techniques – principal component analysis and cluster analysis – to data of the Territory Safety Passports. For data modelling, two principal components are selected and interpreted taking account of the contribution of the data attributes to the principal components. Data distribution on the principal components is analysed at different levels of the territory detail: municipal areas and settlements. Two- and three- cluster structures are constructed in multidimensional data space; the main clusters features are analyzed. The results of this analysis have allowed to identify the high-risk municipal areas and rank the territories according to danger degree of occurrence of the natural and technogenic emergencies. It gives the basis for decision making and makes it possible for authorities to allocate the forces and means for territory protection more efficiently and develop a system of measures to prevent and mitigate the consequences of emergencies in the large region.


Comprehensive data analysis Data mining Principal component analysis Cluster analysis Prevention of emergencies Territorial management Decision making support 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Institute of Computational Modelling SB RASKrasnoyarskRussia

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