Abstract
New approach to forecasting of forest fire danger caused by storm activity is presented in the article. This approach is based on using the criteria of forest fire danger and physically proved mathematical models of forest fuel ignition. The formula of criterion is based on a probabilistic assessment of forest fire danger and uses the main theorems of probability theory. Data of a forest fire retrospective on the controlled territory are used to assess the members in probabilistic criterion. Timiryazevskiy local forestry of the Timiryazevskiy timber enterprise of the Tomsk region is considered as a typical territory. It is shown that it is not enough to use only statistical information on forest fires for an adequate assessment of the forest fire danger caused by action of storm activity. Visualization of data is carried out with the use of geoinformation technologies.
| Original language | English |
|---|---|
| Pages (from-to) | 2-15 |
| Number of pages | 14 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1839 |
| Publication status | Published - 2017 |
| Event | 2016 International Conference Mathematical and Information Technologies, MIT 2016 - Vrnjacka Banja, Serbia Duration: 28 Aug 2016 → 5 Sep 2016 |
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Keywords
- Forest fire danger
- Gis
- Lightning
- Mathematical simulation
- Prediction
ASJC Scopus subject areas
- Computer Science(all)
Cite this
GIS-Technologies and mathematical simulation as tools for lightning-caused forest fire danger prediction. / Baranovskiy, Nikolay; Barakhnin, Vladimir; Yankovich, Elena.
In: CEUR Workshop Proceedings, Vol. 1839, 2017, p. 2-15.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - GIS-Technologies and mathematical simulation as tools for lightning-caused forest fire danger prediction
AU - Baranovskiy, Nikolay
AU - Barakhnin, Vladimir
AU - Yankovich, Elena
PY - 2017
Y1 - 2017
N2 - New approach to forecasting of forest fire danger caused by storm activity is presented in the article. This approach is based on using the criteria of forest fire danger and physically proved mathematical models of forest fuel ignition. The formula of criterion is based on a probabilistic assessment of forest fire danger and uses the main theorems of probability theory. Data of a forest fire retrospective on the controlled territory are used to assess the members in probabilistic criterion. Timiryazevskiy local forestry of the Timiryazevskiy timber enterprise of the Tomsk region is considered as a typical territory. It is shown that it is not enough to use only statistical information on forest fires for an adequate assessment of the forest fire danger caused by action of storm activity. Visualization of data is carried out with the use of geoinformation technologies.
AB - New approach to forecasting of forest fire danger caused by storm activity is presented in the article. This approach is based on using the criteria of forest fire danger and physically proved mathematical models of forest fuel ignition. The formula of criterion is based on a probabilistic assessment of forest fire danger and uses the main theorems of probability theory. Data of a forest fire retrospective on the controlled territory are used to assess the members in probabilistic criterion. Timiryazevskiy local forestry of the Timiryazevskiy timber enterprise of the Tomsk region is considered as a typical territory. It is shown that it is not enough to use only statistical information on forest fires for an adequate assessment of the forest fire danger caused by action of storm activity. Visualization of data is carried out with the use of geoinformation technologies.
KW - Forest fire danger
KW - Gis
KW - Lightning
KW - Mathematical simulation
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=85020501136&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020501136&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85020501136
VL - 1839
SP - 2
EP - 15
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -