Open AccessWWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring
Author(s) -
Nikolay V. Baranovskiy,
Krechetova Svetlana,
Belikova Marina,
Perelygin Anton
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i6.pp3112-3120
Subject(s) - lightning (connector) , storm , cluster (spacecraft) , environmental science , meteorology , remote sensing , probabilistic logic , geographic information system , computer science , geography , power (physics) , physics , quantum mechanics , artificial intelligence , programming language
Storm activity is the main reason for forest fires to occur in remote forested territories. The current article presents the results for cluster analysis of WWLLN data on lightning discharges. It provides the description for clusterization algorithms of lightning discharges over the controlled territory. Research area is Timiryazevskiy forestry of the Tomsk region (Siberia, Russia). We analyzed the applicability of cluster analysis results for monitoring of the forest fire danger caused by storm activity. As a result of the conducted research, we established that the following characteristics of storm activity can be included in deterministic-probabilistic criterion to assess the forest fire danger. The article gives the recommendations how to create new generation information-computer and geoinformation systems for monitoring of the forest fire danger caused by storm activity in the controlled forested territory.