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

Nikolay Baranovskiy, Svetlana Krechetova, Marina Belikova, Anton Perelygin

Результат исследований: Материалы для журналаСтатья

5 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Страницы (с-по)3112-3120
Число страниц9
ЖурналInternational Journal of Electrical and Computer Engineering
Том6
Номер выпуска6
DOI
СостояниеОпубликовано - 2016

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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