Destinations frequently impacted by dust storms originating from southwest Iran

Broomandi, Parya; Karaca, Ferhat; Güney, Mert; Fathian, Aram; Geng, Xueyu; Kim, Jong Ryeol

doi:10.1016/j.atmosres.2020.105264

Cited by 23 publications

(6 citation statements)

References 68 publications

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“…The mean surface dust concentration exhibited values ranging between 200 µg m −3 and 250 µg m −3 , while both parameters showed lower values during the beginning of the examined period, as well as in 2014 and 2016. Due to distinct seasonality of dust in SW Iran [64,80,140,141], the annual variability is mostly driven by the dust patterns in spring and summer, when dust activity highly maximizes. Karimi et al [142] also showed that 2008 and 2009 were the dustiest years from 2005 to 2015m and July was the dustiest month during that time frame [143].…”

Section: Satellite Observationsmentioning

confidence: 99%

“…The largest city in this region, Ahvaz, is among the five most polluted cities worldwide in terms of particulate matter below 10 µm (PM 10 ) concentrations due to high frequency of dust events, imposing deleterious effects on environment, agriculture, aviation, industrial activity, culture, and public health [74][75][76]. Major sources of dust that affect SW Iran include the Sahara Desert and deserts in Iraq, Saudi Arabia, and Kuwait [77][78][79][80]. Dried marshy regions between the Tigris and Euphrates rivers are the most effective dust-emitting sources impacting SW Iran [52,54,[81][82][83].…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Variability of Dust Events in Southwestern Iran and Its Relationship with the Drought

et al. 2021

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Dust storms represent a major environmental challenge in the Middle East. The southwest part of Iran is highly affected by dust events transported from neighboring desert regions, mostly from the Iraqi plains and Saudi Arabia, as well as from local dust storms. This study analyzes the spatio-temporal distribution of dust days at five meteorological stations located in southwestern Iran covering a period of 22 years (from 1997 to 2018). Dust codes (06, 07, 30 to 35) from meteorological observations are analyzed at each station, indicating that 84% of the dust events are not of local origin. The average number of dust days maximizes in June and July (188 and 193, respectively), while the dust activity weakens after August. The dust events exhibit large inter-annual variability, with statistically significant increasing trends in all of five stations. Spatial distributions of the aerosol optical depth (AOD), dust loading, and surface dust concentrations from a moderate resolution imaging spectroradiometer (MODIS) and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) retrievals reveal high dust accumulation over southwest Iran and surrounding regions. Furthermore, the spatial distribution of the (MODIS)-AOD trend (%) over southwest Iran indicates a large spatial heterogeneity during 2000–2018 with trends ranging mostly between −9% and 9% (not statistically significant). 2009 was the most active dust year, followed by 2011 and 2008, due to prolonged drought conditions in the fertile crescent and the enhanced dust emissions in the Iraqi plains during this period. In these years, the AOD was much higher than the 19-year average (2000 to 2018), while July 2009 was the dustiest month with about 25–30 dust days in each station. The years with highest dust activity were associated with less precipitation, negative anomalies of the vegetation health index (VHI) and normalized difference vegetation index (NDVI) over the Iraqi plains and southwest Iran, and favorable meteorological dynamics triggering stronger winds.

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Section: Satellite Observationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-Term Variability of Dust Events in Southwestern Iran and Its Relationship with the Drought

et al. 2021

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“…The results of Broomandi et al (2020) indicated that Horolazim area acts as a source in the region. The susceptibility of southern area of Horolazim wetland to turn into a persistent dust centers has been mentioned in other studies (Broomandi et al, 2017;Cao et al, 2015;Heidarian et al, 2018).…”

Section: Main Local Dust Sources Due To Land Use/cover Changementioning

confidence: 92%

Integration of Satellite Observation and Dust Trajectory Modeling for Dust Transport and Dispersion Monitoring

Alizadeh

Falahatkar

Afzali

2021

Preprint

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Land use/cover change was distinguished as one of the most local environmental consequences and has an important role in increasing dust due to land degradation. The aim of study was to identify the local dust storm sources in Khuzestan province (southwestern Iran) due to land use/cover change and their dispersion and transport modeling from these sources by Lagrangian particle HYSPLIT model. In the first part of study, Landsat images for 1984, 1992, 2002, and 2017 were used in order to produce the land use/cover maps and post classification comparison was applied for land use/cover change detection from 1984 to 2017. The results of change detection showed that wetland areas (Horolazim wetland and Shadegan international wetland) experienced sever changes and converted to probable dust storm centers. Subsequently, HYSPLIT model was performed in dust trajectory modeling from the detected dust storm centers for 365 days of 2016 in three elevation level. Aerosol optical depth (AOD) product of MODIS and air quality monitoring(AQM) data were used for HYSPLIT performance assessment. The findings of modeling showed that storms originated from detected dust storm centers can be transferred to the transboundary of Khuzestan province, especially in hot season. Therefore, focusing on national programs could be as valuable as international cooperation for mitigation and controlling dust storms in southwestern Iran.

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“…The HYSPLIT model from NOAA is one of the most extensively used atmospheric transport and dispersion models to compute air parcel trajectories, as well as complex transport, dispersion, chemical transformation, and deposition simulations [ [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] ].…”

Section: Methodsmentioning

confidence: 99%

Formation of an unprecedented yellow snow episode in Xinjiang on December 1, 2018

Huang,

Wan

2023

Heliyon

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Destinations frequently impacted by dust storms originating from southwest Iran

Cited by 23 publications

References 68 publications

Long-Term Variability of Dust Events in Southwestern Iran and Its Relationship with the Drought

Long-Term Variability of Dust Events in Southwestern Iran and Its Relationship with the Drought

Integration of Satellite Observation and Dust Trajectory Modeling for Dust Transport and Dispersion Monitoring

Formation of an unprecedented yellow snow episode in Xinjiang on December 1, 2018

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