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dc.creatorVuković Vimić, Ana
dc.creatorCvetković, Bojan
dc.creatorGiannaros, Theodore M.
dc.creatorShahbazi, Reza
dc.creatorSehat Kashani, Saviz
dc.creatorPrieto, Jose
dc.creatorKotroni, Vassiliki
dc.creatorLagouvardos, Konstantinos
dc.creatorPejanović, Goran
dc.creatorPetković, Slavko
dc.creatorNicković, Slobodan
dc.creatorVujadinović Mandić, Mirjam
dc.creatorBasart, Sara
dc.creatorDarvishi Boloorani, Ali
dc.creatorTerradellas, Enric
dc.date.accessioned2021-10-26T10:44:54Z
dc.date.available2021-10-26T10:44:54Z
dc.date.issued2021
dc.identifier.issn2073-4433
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/5921
dc.description.abstractOn 2 June 2014, at about 13 UTC, a dust storm arrived in Tehran as a severe hazard that caused injures, deaths, failures in power supply, and traffic disruption. Such an extreme event is not considered as common for the Tehran area, which has raised the question of the dust storm’s origin and the need for increasing citizens’ preparedness during such events. The analysis of the observational data and numerical simulations using coupled dust-atmospheric models showed that intensive convective activity occurred over the south and southwest of Tehran, which produced cold downdrafts and, consequently, high-velocity surface winds. Different dust source masks were used as an input for model hindcasts of the event (forecasts of the past event) to show the capability of the numerical models to perform high-quality forecasts in such events and to expand the knowledge on the storm’s formation and progression. In addition to the proven capability of the models, if engaged in operational use to contribute to the establishment of an early warning system for dust storms, another conclusion appeared as a highlight of this research: abandoned agricultural areas south of Tehran were responsible for over 50% of the airborne dust concentration within the dust storm that surged through Tehran. Such a dust source in the numerical simulation produced a PM10 surface dust concentration of several thousand µm/m3, which classifies it as a dust source hot-spot. The produced evidence indivisibly links issues of land degradation, extreme weather, environmental protection, and health and safety.sr
dc.language.isoensr
dc.publisherMDPIsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200116/RS//
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceAtmospheresr
dc.subjectAgriculturesr
dc.subjectDust source masksr
dc.subjectDust stormsr
dc.subjectEarly warningsr
dc.subjectForecastsr
dc.subjectTehransr
dc.titleNumerical simulation of Tehran dust storm on 2 june 2014: A case study of agricultural abandoned lands as emission sourcessr
dc.typearticlesr
dc.rights.licenseBYsr
dc.citation.issue8
dc.citation.rankM22
dc.citation.spage1054
dc.citation.volume12
dc.identifier.doi10.3390/atmos12081054
dc.identifier.fulltexthttp://aspace.agrif.bg.ac.rs/bitstream/id/23213/Numerical_Simulation_of_pub_2021.pdf
dc.identifier.scopus2-s2.0-85113342148
dc.identifier.wos000688797500001
dc.type.versionpublishedVersionsr


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