WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring

WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring

Detalles Bibliográficos
Parent link:International Journal of Electrical and Computer Engineering: Scientific Journal
Vol. 6, № 6.— 2016.— [P. 3112-3120]
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ)
Outros autores: Baranovskiy N. V. Nikolay Viktorovich, Krechetova S. Yu. Svetlana Yurjevna, Belikova M. Yu. Marina Yurjevna, Perelygin A. A. Anton Aleksandrovich
Summary:Title screen
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.
Publicado: 2016
Subjects:
труды учёных ТПУ
электронный ресурс
кластерный анализ
лесные пожары
молнии
Сибирь
cluster analysis
forest fire
lightning monitoring
Siberia
WWLLN data
Acceso en liña:http://dx.doi.org/10.11591/ijece.v6i6.12780
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654479

Títulos similares

Títulos similares