WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring; International Journal of Electrical and Computer Engineering; Vol. 6, № 6
| Parent link: | International Journal of Electrical and Computer Engineering: Scientific Journal Vol. 6, № 6.— 2016.— [P. 3112-3120] |
|---|---|
| Співавтор: | |
| Інші автори: | , , , |
| Резюме: | 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. |
| Мова: | Англійська |
| Опубліковано: |
2016
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| Предмети: | |
| Онлайн доступ: | http://dx.doi.org/10.11591/ijece.v6i6.12780 |
| Формат: | Електронний ресурс Частина з книги |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654479 |
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| 200 | 1 | |a WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring |f N. V. Baranovskiy [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 3119 (27 tit.)] | ||
| 330 | |a 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. | ||
| 461 | |t International Journal of Electrical and Computer Engineering |o Scientific Journal | ||
| 463 | |t Vol. 6, № 6 |v [P. 3112-3120] |d 2016 | ||
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a кластерный анализ | |
| 610 | 1 | |a лесные пожары | |
| 610 | 1 | |a молнии | |
| 610 | 1 | |a Сибирь | |
| 610 | 1 | |a cluster analysis | |
| 610 | 1 | |a forest fire | |
| 610 | 1 | |a lightning monitoring | |
| 610 | 1 | |a Siberia | |
| 610 | 1 | |a WWLLN data | |
| 701 | 1 | |a Baranovskiy |b N. V. |c specialist in electrical engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences |f 1978- |g Nikolay Viktorovich |3 (RuTPU)RU\TPU\pers\34172 |9 17706 | |
| 701 | 1 | |a Krechetova |b S. Yu. |g Svetlana Yurjevna | |
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| 701 | 1 | |a Perelygin |b A. A. |g Anton Aleksandrovich | |
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| 856 | 4 | |u http://dx.doi.org/10.11591/ijece.v6i6.12780 | |
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