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Ms Akram Hedayati Dezfuli, Ms Zahra Ghassabi,
Volume 24, Issue 73 (6-2024)
Abstract


Flood is one of the most destructive natural phenomena. Every year it brings extensive losses to the country’s financial and human resources. In our country, major parts of Iran’s provinces are always at risk of flooding. The Gorgan and Atrak catchments have also become more important, as several floods have occurred in Golestan province in recent years, causing many deaths and economic losses. The purpose of this study was to investigate the synoptic and thermodynamic conditions of the March 2019 flood event in Golestan province in order to atmospheric system that lead to such floods. This study includes statistical analysis of provincial stations (Gorgan, Gonbadkavus, Aliabadkatol, Hashemabad, Kalale, Maravetape and Bandaretokman), calculating of the return period of precipitation during the available statistical period of each station, analysis of synoptic maps on the day of the flood event, the analysis of satellite images of the days involved in the flood, and calculation of instability indices of the Gorgans’s station. Statistical results showed that Gorgan and Gonbadkavus stations, with the highest amount of rainfall in March 2019, had a return period with 800 and 400 years respectively. Also the highest amount index of Gorgan with values of K=26°c, PW= 0.27 cm and TT= 48 was obtained with high relative humidity (about 80%). The analysis of the synoptic maps showed the severe sea level pressure and mid- level height drop with a deep trough in the study area, which led to extreme rainfall.
Key words: Flood, return period, Synoptic maps, instability indices, Golestan province.
Mohsen Azizi, Hossein Mohammadi, Dariush Taleghani,
Volume 25, Issue 78 (9-2025)
Abstract

The aim of this research is to identify potential areas for autumn sugar beet cultivation in Golestan Province, Iran, based on temperature and precipitation parameters. Temperature (daily) and precipitation (annual) data from a 15-year statistical period (2006–2020) were analyzed using methods such as thermal potential diagrams, deviation from optimal conditions, phenology, and zoning of irrigation requirements based on annual rainfall. The results of the temperature evaluation using the thermal potential method, based on thermal thresholds of 0°C, 4°C, and 10°C, revealed that Inche Brun station has the highest cumulative thermal units, while Aliabad Katul station has the lowest. Analysis of the probability of late spring frost at the 95% confidence level showed that frost events occurring at the end of April in the central, eastern, northern, northeastern, and western parts of Golestan Province coincide with the phenological stages of root bulking and sugar accumulation in sugar beet.  Based on the deviation from optimal conditions, Inche Brun station exhibited the lowest deviation (-20.64), indicating more favorable conditions for sugar beet cultivation. Phenological analysis identified Gonbadkavus, Bandar Turkman, Kalaleh, Inche Brun, and Bandar Gaz as the most suitable areas for autumn sugar beet cultivation in Golestan Province. Rainfall evaluations using the annual rainfall zoning map of Golestan Province indicated that, while there are no significant limitations in terms of rainfall and water supply for autumn sugar beet cultivation, the recent multi-year droughts necessitate additional irrigation to ensure optimal growth. In conclusion, this study highlights the potential for autumn sugar beet cultivation in specific areas of Golestan Province, taking into account thermal conditions, frost risks, and rainfall patterns. However, supplementary irrigation is recommended to address water shortages caused by prolonged droughts.


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