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Showing 3 results for Dynamic

Sharifeh Zarei, Dr. Bohloul Alijani, Dr. Zahra Hejazizadeh, Dr. Bakhtiar Mohammadi,
Volume 0, Issue 0 (3-1921)
Abstract

In this research, the most important synoptic patterns of widespread snowfall in the eastern half of Iran have been investigated. For this purpose, the current weather code data and snow depth of synoptic stations in the eastern half of the country during the statistical period of 1371-1400, for the months of October to March, were received from the country's meteorological organization. In order to investigate widespread snowfall, the days when more than 70% of the studied area saw snowfall at the same time were extracted as a widespread day. In order to perform synoptic-dynamic analysis of widespread snowfall in the eastern half of Iran, the classification method using cluster analysis was used and the maps of the representative days including atmospheric temperature, moisture flux, geopotential height, vorticity, front formation, jet stream, omega index and orbital and meridian wind data were drawn. Trend analysis was also performed using the Mann-Kendall test. The results showed that 3 patterns justify the snow cover in the studied area. These patterns are: high pressure in Siberia and central Europe-low pressure in eastern Iran, high pressure in western Iran-low pressure in Sudan, high pressure in central Europe-low pressure in eastern Iran and Afghanistan. In all the patterns in the middle of the atmosphere, the intensification of the meridian currents of the western winds along with the formation of high pressure and low-pressure centers has caused blocking in the path of the western currents and has provided the conditions for the ascent of the air. The concentration of the negative omega field and the relative positive advection, along with the location of the northeastern region of Iran in the left half of the outlet of the Subtropical Jet, have caused severe instabilities and widespread snowfall in the region. Also, the results showed that despite the absence of a trend in the number of snow days in the northeast of Iran, the number of snow days has decreased over time.
 

Mahsa Asadi Aziz Abadi, Keramat Alah Ziari, Mohsen Vatan Khahi,
Volume 20, Issue 56 (3-2020)
Abstract

A city is a vibrant, dynamic, and evolving phenomenon that grows and spreads over time and space, and is exhausted and degraded.It also faces crises such as natural hazards and artifacts, resulting from human relationships and physical elements, on the one hand, and social, economic, cultural, geographical, political, and historical conditions on the other. The deteriorated urban fabric, which has physical, functional and operational deterioration, are resistant to the above-mentioned crises and has low vulnerability. Therefore, the need of intervening in these fabrics is crucial for balancing, coordinating the foundations of social life, and improving the urban structure. In this regard, in this research, priority is given to the dimension of resilient deteriorated urban fabric based on a disaster resilience of place model which is one of the models of urban resilience measurement. This research is a descriptive-analytical according to method and is developmental-applied research in terms of the purpose. Also, Expert Choice software and AHP model are used to analyze the collected data by using a questionnaire. The results of the research indicate that, in three macro areas of Karaj, Hesarak and Mehrshahr, the physical-environmental resilience dimension has the highest weight and organizational-institutional resilience has the least weight. Overall, regarding prioritization of resilience dimensions, criteria and indicators, an increasing per capita of vital use in study areas, changing the economic structure of residents, as well as increasing the skill and coherence of citizens to deal with hazards and crises are important.

Alireza Mirzaei Qatarollar, Hassan Saberi, Hamid Reza Saidnia,
Volume 22, Issue 67 (12-2022)
Abstract

Previous research has acknowledged the importance of human resources in service companies by influencing the end customer and has shown that if internal marketing succeeds, external marketing will also develop, but describing this development is beyond the reach of purely quantitative or qualitative studies. . In this regard, simulation can come with the help of the humanities and identify the factors influencing the development of internal marketing. In this study, using the systems dynamics approach, factors affecting the success of internal marketing were investigated. The statistical population is all marketing experts at Fiberglass. Primary data were obtained through interviews with them and secondary data from company documentation. Dynamic drawing and modeling and final loop identification through VENSIM PLE software Four key loops were identified for the dynamic internal marketing model that included customer orientation, knowledge, satisfaction and motivation. And the results showed that if the identified four loops were supported and developed, internal marketing would have a high growth. Among these factors, customer orientation became more important to be achieved by developing a culture of customer orientation in organizations.


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