Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/64944
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dc.contributor.authorBaranovskiy, Nikolay Viktorovichen
dc.contributor.authorZakharevich, Arkadiy Vladimirovichen
dc.date.accessioned2021-03-29T04:19:17Z-
dc.date.available2021-03-29T04:19:17Z-
dc.date.issued2018-
dc.identifier.citationBaranovskiy, Nikolay Viktorovich. GIS-technologies and mathematical simulation to predict lightning-caused forest fire danger / N. V. Baranovskiy, A. V. Zakharevich // Radio Electronics, Computer Science, Control. — 2018. — No. 1. — [P. 30-40].en
dc.identifier.urihttp://earchive.tpu.ru/handle/11683/64944-
dc.description.abstractContext. The components of the geoinformation system for monitoring, forecasting and assessment of forest fire danger caused bythunderstorm activity are developed. Objective of the work is to create an embedded software tool for physically based forecasting, monitoring and evaluation of the probability of forest fire occurrence as a result of the impact of a lightning discharge on a tree trunk. Method. Structural analysis is used to design elements and information flows inside and outside of the developed geographic information system. Mathematical modeling is used to determine the parameters of tree ignition by the cloud-to-ground lightning discharge. Mathematically, the process of tree trunk heating is described using a system of non-stationary heat conduction equations with a source part responsible for the heat release according to the Joule-Lenz law in the core of the tree trunk. The finite difference method is used to solve the differential heatequation. Finite-difference analogues are solved by the double-sweep method. Program realization is implemented in the built-in high-levellanguage. The probability theory (conditional probability) is used to develop a probabilistic criterion for forest fire danger estimation.Results. A software tool is developed to estimate the tree ignition delay time as a result of the impact of a cloud-to-ground lightningdischarge. The GIS-system component is developed in the high-level programming language Python. We have obtained probability distribution of forest fire occurrences from thunderstorms for the territory of the Timiryazevsky forestry in the Tomsk region is obtained.Conclusions. We have proposed a physically proved method for forecasting, monitoring and assessing forest fire danger caused bythunderstorm activity.en
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherZaporizhzhya National Technical Universityen
dc.relation.ispartofRadio Electronics, Computer Science, Control. 2018. No. 1en
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.sourceRadio Electronics, Computer Science, Controlen
dc.subjectГИСru
dc.subjectматематическое моделированиеru
dc.subjectопасностиru
dc.subjectлесные пожарыru
dc.subjectпрогнозыru
dc.subjectгрозовая активностьru
dc.subjectвероятностьru
dc.subjectGISen
dc.subjectmathematical modelingen
dc.subjectforest fire dangeren
dc.subjectforecasten
dc.subjectthunderstorm activityen
dc.subjectprobability criterionen
dc.titleGIS-technologies and mathematical simulation to predict lightning-caused forest fire dangeren
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dcterms.audienceResearchesen
local.description.firstpage30-
local.description.lastpage40-
local.filepathreprint-nw-28999.pdf-
local.filepathhttps://doi.org/10.15588/1607-3274-2018-1-4-
local.identifier.bibrecRU\TPU\network\28999-
local.identifier.perskeyRU\TPU\pers\34172-
local.identifier.perskeyRU\TPU\pers\34155-
local.issue1-
local.localtypeСтатьяru
dc.identifier.doi10.15588/1607-3274-2018-1-4-
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