WWLLN data cluster analysis methods for lightning-caused forest fires monitoring

Abstract

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.

Original language	English
Pages (from-to)	3112-3120
Number of pages	9
Journal	International Journal of Electrical and Computer Engineering
Volume	6
Issue number	6
DOIs	https://doi.org/10.11591/ijece.v6i6.12780
Publication status	Published - 2016

Keywords

Cluster analysis
Forest fire
Lightning monitoring
Siberia
WWLLN data

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering

Access to Document

10.11591/ijece.v6i6.12780

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Baranovskiy, N., Krechetova, S., Belikova, M., & Perelygin, A. (2016). WWLLN data cluster analysis methods for lightning-caused forest fires monitoring. International Journal of Electrical and Computer Engineering, 6(6), 3112-3120. https://doi.org/10.11591/ijece.v6i6.12780

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abstract = "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.",

keywords = "Cluster analysis, Forest fire, Lightning monitoring, Siberia, WWLLN data",

author = "Nikolay Baranovskiy and Svetlana Krechetova and Marina Belikova and Anton Perelygin",

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PY - 2016

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KW - Lightning monitoring

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KW - WWLLN data

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