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Numerical simulation of Tehran dust storm on 2 June 2014: a case study of agricultural abandoned lands as emission sources
Title: Numerical simulation of Tehran dust storm on 2 June 2014: a case study of agricultural abandoned lands as emission sources
Authors: Vukovic Vimic, AnaCvetkovic, BojanGiannaros, Theodore M.Shahbazi, RezaSehat Kashani, SavizPrieto Fernández, José IgnacioKotroni, VassilikiLagouvardos, KonstantinosPejanovic, GoranPetkovic, SlavkoNickovic, SlodobanVujadinovic Mandic, MirjamBasart, Sara ORCID Boloorani, Ali DarvishiTerradellas, EnricAutor AEMET
Keywords: Dust storm; Dust source mask; Forecast; Early warning
Issue Date: 2021
Publisher: MDPI
Citation: Atmosphere. 2021, 12(8), 1054
Publisher version:
Abstract: On 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.
ISSN: 2073-4433
Appears in Collections:Artículos científicos 2019-2022

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