International Journal of Electrical and Computer Engineering
Vol 6, No 6: December 2016

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

Baranovskiy Nikolay (Tomsk Polytechnic University)
Krechetova Svetlana (Gorno-Altaysk State University)
Belikova Marina (Tomsk Polytechnic University)
Perelygin Anton (Tomsk Polytechnic University)



Article Info

Publish Date
01 Dec 2016

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.

Copyrights © 2016






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...