Synoptic analysis of sea level pressure patterns and Vertically Integrated Moisture Flux Convergence VIMFC during the occurrence of durable and pervasive rainfall in Iran

Darand, Mohammad; Pazhoh, Farshad

doi:10.1016/j.dynatmoce.2019.02.004

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…In other words, Iran has been confronted not only with a shortage but also with an unequal geographical distribution of precipitation. On the other hand, the variety of precipitation sources around the country has caused the amount and period of rainfall to be different in each region (Darand and Pazhoh 2019;Rousta et al 2017). The increasing trend in drought years frequency and the decreasing trend in precipitation amount can also be observed in different parts of the world, including the middle latitudes of the Northern Hemisphere (Adler et al 2017), Asia, Africa, and Australia (Khan and Gilani 2021), Northern Ethiopia (Asfaw et al 2017), Sardinia, Italy (Caloiero et al 2019), Cauca River, South-western Columbia (Ávila et al 2019), Aegean, and Western Turkey (Bacanli 2017).…”

Section: Precipitation Concentration Degreementioning

confidence: 99%

Spatiotemporal Changes in Precipitation Concentration Indicators Over Iran

Darand

Pazhoh

2021

Preprint

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This study was conducted to investigate the spatiotemporal variability in precipitation concentration over Iran. For that purpose, daily precipitation data with a spatial resolution of 0.25° × 0.25° from the Asfazari database for the period from 01/01/1962 to 31/12/2019 were used. Three indices including the precipitation concentration index (PCI), precipitation concentration period (PCP), and precipitation concentration degree (PCD) were utilized for examination of the variability in precipitation concentration over the country. The results demonstrated that the central, south-eastern, and eastern parts of the country exhibited maximum temporal precipitation concentration, while the least precipitation concentration could be observed over the Caspian coasts and the northern half of the country. The year 1998 was selected as the change point due to the considerable difference in the values of the examined indices, and the long-term statistical period was divided into two sub-periods before and after the change. During the sub-period after the change point (1999-2019), precipitation concentration has increased in the western, central, eastern, and south-eastern parts of Iran, according to PCI and PCD, and has decreased in the North and Northeast and along the northern coastline of Oman Sea. Furthermore, there have been great spatial differences in the period of occurrence of precipitation along the Northern coasts, according to PCP, varying from November, along the Caspian coasts, to August, along the northern foothills of Alborz Mountains. The PCP index has increased during the sub-period after the change point along the northern coastlines of Persian Gulf and Oman Sea and in parts of the North (along Alborz Mountains), indicating a shift in the period of precipitation from winter to the warm seasons of spring and summer. Moreover, the decrease in PCP in the Northwest and Northeast suggested that the period of occurrence of precipitation has shifted from the second half of winter toward early winter and late fall. After the year of change point, the frequency of rainy days and precipitation have decreased, and PCI and PCD have increased.

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Section: Precipitation Concentration Degreementioning

confidence: 99%

Spatiotemporal Changes in Precipitation Concentration Indicators Over Iran

Darand

Pazhoh

2021

Preprint

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“…Iran's climate varies between arid and semiarid and subtropical (along the Caspian coast and northern forests). The average temperature of the country in January (the coldest month) ranges from 5°C (41°F) in the west to 7°C (44.5°F) in the east and daily averages are around 25-27°C (77-81°F) in July and August (Darand and Pazhoh 2019).…”

Section: Study Areamentioning

confidence: 99%

Association between exposure to ambient fine particulate matter and prevalence of type 2 diabetes in Iran: an ecological study

Janjani

Nabizadeh

Shamsipour

et al. 2020

Environ Sci Pollut Res

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Epidemiological evidence for the link between long-term exposure to air particulate matter (PM 2.5) and occurrence of type 2 diabetes (T2D) is limited such that little is known about the effect of PM 2.5 exposure and adult T2D prevalence. Thus, the aim of this ecological study is to evaluate the contribution of ambient PM 2.5 exposure to the adult T2D prevalence in the large population of Iran. The study was conducted based on Iran's large-scale cross-sectional surveilling non-communicable diseases (NCDs) risk factors (Timpka et al. 2015b). A total of 31,050 participants were enrolled in three sequential processes of study using cluster random sampling. PM 2.5 data in the urban area of 31 provinces of Iran were acquired from Tehran Air Quality Control Company (AQCC) and the Department of Environment (DoE) of Iran during 2012-2016. Moreover, major and minor diabetes risk factors were considered; the Pearson correlation and a stepwise regression model were performed to estimate associations between risk factors and diabetes and prediabetes prevalence. The results showed T2D prevalence was more frequent among women (10.61%) than men (9.35%). A weak positive correlation was observed between PM 2.5 level and diabetes prevalence with a correlation coefficient of 0.275, although there was no significant association between PM 2.5 value and prediabetes prevalence. Moreover, none of the variables included in the regression model could predict the prevalence of diabetes and prediabetes. According to our study results, it can be suggested that investigating the association between PM 2.5 exposure and T2D prevalence at individual level may provide a better understanding of PM 2.5 exposure and the risk of T2D prevalence.

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