Gis system to predict forest fires caused by lightning activity

Conceptual base

Nikolay V. Baranovskiy, Elena P. Yankovich, Svetlana Y. Karanina, Andrey V. Karanin, Marina Y. Belikova

Research output: Contribution to journalConference article

Abstract

Thunderstorm activity is the main natural cause of forest fires occurrence. Lightning discharges are divided into cloud-to-ground and cloud-to-cloud. The higher the current, the higher the probability of fire in the forest. Geographic information systems are a convenient and multifunctional means of visualization and geospatial data analysis, including the level of forest fire danger. It is necessary to design the structure and information flows in such a GIS system. The development of such a GIS system is carried out for a typical territory of the Tomsk region (Timiryazevskiy forestry). For the territory of the Timiryazevskiy forestry year high in the number of lightning strokes in the WWLLN data is 2015. The smallest number of the lightning discharges observed for the 2010, 2012 and 2013 include implementation of a GIS system using the host systems ArcGIS and QGIS. Both options involve the implementation of their own software tools for the implementation of mathematical models that provide the calculation of the level of forest fire danger in the controlled forest-covered area. For this purpose, it is proposed to use the built-in programming language Python. The General scheme of the GIS system is presented in this paper.

Original languageEnglish
Pages (from-to)425-431
Number of pages7
JournalInternational Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Volume18
Issue number2.3
DOIs
Publication statusPublished - 1 Jan 2018
Event18th International Multidisciplinary Scientific Geoconference, SGEM 2018 - Albena, Bulgaria
Duration: 2 Jul 20188 Jul 2018

Fingerprint

Lightning
forest fire
lightning
Geographic information systems
Fires
GIS
Forestry
forestry
Thunderstorms
thunderstorm
visualization
Computer programming languages
software
Visualization
Mathematical models

Keywords

  • Forecast
  • Forest fire danger
  • Geographic information system
  • Storm activity
  • WWLLN

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

Gis system to predict forest fires caused by lightning activity : Conceptual base. / Baranovskiy, Nikolay V.; Yankovich, Elena P.; Karanina, Svetlana Y.; Karanin, Andrey V.; Belikova, Marina Y.

In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, Vol. 18, No. 2.3, 01.01.2018, p. 425-431.

Research output: Contribution to journalConference article

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