Climatology of dust days in the Central Plateau of Iran

Mesbahzadeh, Tayyebeh; Salajeghe, Ali; Sardoo, Farshad Soleimani; Zehtabian, Gholamreza; Saadatabadi, Abbas Ranjbar; Krakauer, Nir Y.; Miglietta, Mario Marcello; Mirakbari, Maryam

doi:10.1007/s11069-020-04248-6

Cited by 13 publications

(4 citation statements)

References 61 publications

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“…The findings of two studies showed that mortality was not significantly associated with long-term exposure to air pollution ( Goldberg and Villeneuve, 2020 ; Stieb et al, 2020 ). Moreover, airborne dust has also led to very poor air quality and serious human health impacts, notably in southeastern and southwestern Iran ( Mesbahzadeh et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Air pollution and COVID-19 mortality and hospitalization: An ecological study in Iran

Karimi

Moradzadeh

Samadi

2022

Atmospheric Pollution Research

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Section: Discussionmentioning

confidence: 99%

Air pollution and COVID-19 mortality and hospitalization: An ecological study in Iran

Karimi

Moradzadeh

Samadi

2022

Atmospheric Pollution Research

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“…Ref. [39] analyzed the frequency of dust days in the central plateau of Iran and states that the southeastern parts of the basin have a high frequency in all return periods. Ref.…”

Section: Discussionmentioning

confidence: 99%

“…The 120-day winds of Sistan are from the monsoon winds and blow from the southeast, most strongly affecting the area around Zabol and Zahdan stations [42]. Mesbahzadeh [39] also found that Zabol station has the highest number of dust days in the region of the central plateau of Iran.…”

Section: Discussionmentioning

confidence: 99%

Regional Analysis of Dust Day Duration in Central Iran

et al. 2022

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The duration of dust days (DDD) is one of the most important parameters that may worsen the effects of the presence of dust in the affected areas. Persistent pollution over consecutive dusty days can have particularly negative effects on the human respiratory system. The present analysis was conducted in Central Iran, where the phenomenon of dust is one of the most important problems. In this study, using dust codes recorded at 35 synoptic stations, the homogeneity of DDD across the region was investigated using the L-moments method. Then, characteristics of DDD over the period 1999–2018 were calculated. The results showed that the region is statistically homogeneous. Furthermore, Zabol and Zahdan are the stations worst affected, with the longest durations of 22 and 21 days in 2014. Additionally, the values of DDD with return periods of 5, 10, 25, and 50 years were calculated using fitted statistical distributions and kriging and mapped. Finally, using the K nearest neighbor method the most important factor affecting DDD of the spatial characteristics, including longitude, latitude, elevation, average daily temperature (tm), dew point (td), wind altitude (u), maximum wind speed (ffmax), and direction of the fastest wind (ddmax), was determined. It was found that the southeastern parts of the study area are affected by the longest dust storm duration in all return periods; over longer return periods, long dust storms are also found in the central parts, especially the central desert of Iran. Therefore, these areas should be given priority in fighting and controlling wind erosion. Furthermore, the results showed that the maximum wind speed has the greatest effect on DDD.

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“…Dust storms occur in Iran seasonally [16]. They usually happen in the summer, when two powerful main winds (Shamal and Levar) blow [17].…”

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confidence: 99%

Assessment of Health Impacts of PM2.5 by AirQ+ Software in the City of Sanandaj, Iran (2018-2019)

Asgari

Khoshniyat

Karimi

et al. 2021

J Adv Environ Health Res

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Background: Particulate or particle mattes in term of air pollution are particles with a diameter of 2.5 μm or less (PM2.5). PM2.5 is a natural source of air pollution and has harmful effects on citizens in Sanandaj City, located in the west of Iran. Methods: In this study, the hourly data of concentration of PM2.5 were taken from the Kurdistan Environmental Protection Agency. During the study period (2018-2019), the 24-hour concentration of PM2.5 exceeded 339 times the average level. By AirQ+ software, the relationship between data and Relative Risk (RR), Baseline Incidence (BI), and Attributable Proportion (AP) were estimated. Then chronic obstructive pulmonary disease, lung cancer, ischemic heart disease, and brain stroke in the range of over 30 years were estimated. Results: The main target of this study was to survey the relationship between PM2.5 concentration and the death rate of citizens of this non-industrial city. The long-term health effect (more than 6 months) of PM2.5 caused 326 deaths on average (except for accidents and poisoning). Conclusion: Increase the concentration of PM2.5 is one factor that affects a high percentage of mortality rate.

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Climatology of dust days in the Central Plateau of Iran

Cited by 13 publications

References 61 publications

Air pollution and COVID-19 mortality and hospitalization: An ecological study in Iran

Air pollution and COVID-19 mortality and hospitalization: An ecological study in Iran

Regional Analysis of Dust Day Duration in Central Iran

Assessment of Health Impacts of PM2.5 by AirQ+ Software in the City of Sanandaj, Iran (2018-2019)

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