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Statistička analiza meteoroloških suša za Sremsku Mitrovicu i Kikindu

dc.creatorGabrić, Ognjen
dc.creatorJanjikopanji, Đorđe
dc.creatorPlavšić, Jasna
dc.creatorFabian, Đula
dc.date.accessioned2019-04-30T13:23:35Z
dc.date.available2019-04-30T13:23:35Z
dc.date.issued2017
dc.identifier.issn0352-6852
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/1515
dc.description.abstractThis paper presents the results of stochastic analysis of meteorological droughts occurrence in a growing season based on the data from two meteorological stations in Vojvodina (Sremska Mitrovica and Kikinda). Meteorological drought is defined as a product of drought length (period lasting at least 25 days with precipitation below 5 mm/day) and mean air temperature during the dry period. Stochastic model of the meteo-drought occurrence is based on the theory of extremes with a random number of random variables, allowing to make use of all significant observed meteo-droughts. The model is comprised of the Poissonian process that describes the droughts occurrence and selected theoretical distributions for the droughts magnitude. Design meteo-droughts having return period 10, 20, 50 and 100 years are determined on the basis of adopted theoretical distribution of meteo-drought, duration and mean air temperature.en
dc.publisherGrađevinski fakultet, Subotica
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37010/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.sourceZbornik radova Građevinskog fakultetaen
dc.titleStatistical analysis of meteo-droughts for Sremska Mitrovica and Kikindaen
dc.titleStatistička analiza meteoroloških suša za Sremsku Mitrovicu i Kikindusr
dc.typeconferenceObject
dc.rights.licenseBY-SA
dc.citation.epage612
dc.citation.other33: 601-612
dc.citation.rankM52
dc.citation.spage601
dc.citation.volume33
dc.description.otherZbornik radova Građevinskog fakultetaen
dc.identifier.doi10.14415/konferencijaGFS2017.064
dc.identifier.fulltexthttps://grafar.grf.bg.ac.rs//bitstream/id/3548/1513.pdf
dc.type.versionpublishedVersion


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