WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring / N. V. Baranovskiy [et al.]

Уровень набора: International Journal of Electrical and Computer Engineering, Scientific JournalАльтернативный автор-лицо: Baranovskiy, N. V., specialist in electrical engineering, Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences, 1978-, Nikolay Viktorovich;Krechetova, S. Yu., Svetlana Yurjevna;Belikova, M. Yu., Marina Yurjevna;Perelygin, A. A., Anton AleksandrovichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Энергетический институт (ЭНИН), Кафедра теоретической и промышленной теплотехники (ТПТ)Язык: английский.Страна: .Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: p. 3119 (27 tit.)].Тематика: труды учёных ТПУ | электронный ресурс | кластерный анализ | лесные пожары | молнии | Сибирь | cluster analysis | forest fire | lightning monitoring | Siberia | WWLLN data Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: p. 3119 (27 tit.)]

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.

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