WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring; International Journal of Electrical and Computer Engineering; Vol. 6, № 6

Bibliografiset tiedot
Parent link:International Journal of Electrical and Computer Engineering: Scientific Journal
Vol. 6, № 6.— 2016.— [P. 3112-3120]
Yhteisötekijä: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ)
Muut tekijät: Baranovskiy N. V. Nikolay Viktorovich, Krechetova S. Yu. Svetlana Yurjevna, Belikova M. Yu. Marina Yurjevna, Perelygin A. A. Anton Aleksandrovich
Yhteenveto: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.
Kieli:englanti
Julkaistu: 2016
Aiheet:
Linkit:http://dx.doi.org/10.11591/ijece.v6i6.12780
Aineistotyyppi: Elektroninen Kirjan osa
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654479
Kuvaus
Yhteenveto: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.
DOI:10.11591/ijece.v6i6.12780