Program components for web-oriented geoinformation system of forest fire danger prediction

Nikolay V. Baranovskiy, Marina V. Zharikova

Результат исследований: Материалы для журналаСтатья

1 Цитирования (Scopus)

Аннотация

The web-oriented geoinformation system for forest fire danger prediction based on a probabilistic fire danger criteria is described in the paper. The new method of the calculation of the probabilistic fire danger criteria is depicted. А new formula for fire danger assessment for a certain time interval of forest fire season is obtained using the basic principles of the probability theory. A definition of the probability using frequency of events is used to calculate fire danger. The statistical data for certain forestry is used to determine all the multipliers in the formula of fire danger. The geoinformation system for forest fire danger assessment based on the method described here is developed by the Django platform in the programming language Python. The system architecture based on Django’s Model-View-Template is described in the paper. The software package that runs on the server allows to get and visualize a set of parameters describing forest fire danger. The GeoDjango framework was used for realization of cartographic functions. A fragment of a forest fire risk map which corresponds to certain value of fire danger is depicted. The estimation of the fire risk and visualization it on the map help to identify areas most prone to fire ignition and spread and to allocate forest fire fighting resources efficiently.

Язык оригиналаАнглийский
Страницы (с-по)737-744
Число страниц8
ЖурналInternational Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Том1
Номер выпуска2
СостояниеОпубликовано - 2014
Событие14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014 - Albena, Болгария
Продолжительность: 17 июн 201426 июн 2014

ASJC Scopus subject areas

  • Geology
  • Geotechnical Engineering and Engineering Geology

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