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Showing 3 results for Dynamic

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.

Sharifeh Zarei, Dr. Bohloul Alijani, Dr. Zahra Hejazizadeh, Dr. Bakhtiar Mohammadi,
Volume 25, Issue 78 (9-2025)
Abstract

This study investigates the most significant synoptic patterns associated with widespread snowfall in the eastern half of Iran. To achieve this, weather code data and snow depth records from synoptic stations in the eastern half of the country were obtained from the Iranian Meteorological Organization for the statistical period of 1371-1400 (1992-2021), focusing on the months of October to March. Days with simultaneous snowfall covering more than 70% of the study area were identified as widespread snowfall events. For the synoptic-dynamic analysis of these events, a classification method utilizing cluster analysis was employed. Maps of representative days were generated, including variables such as atmospheric temperature, moisture flux, geopotential height, vorticity, front formation, jet stream location, omega index, and meridional and zonal wind data. Additionally, trend analysis was conducted using the Mann-Kendall test. The results revealed that three primary synoptic patterns are responsible for widespread snowfall in the study area. These patterns include: (1) high-pressure systems over Siberia and central Europe coupled with low-pressure systems over eastern Iran; (2) high-pressure systems over western Iran paired with low-pressure systems over Sudan; and (3) high-pressure systems over central Europe combined with low-pressure systems over eastern Iran and Afghanistan. In all patterns, the intensification of meridional flows in the westerly winds, along with the formation of high- and low-pressure centers, creates blocking conditions that disrupt the westerly flow and promote upward air motion. The concentration of negative omega fields and positive relative vorticity advection, coupled with the positioning of northeastern Iran in the left exit region of the Subtropical Jet Stream, contributes to significant atmospheric instability and widespread snowfall in the region. Furthermore, the trend analysis indicated that, although there is no statistically significant trend in the number of snowfall days in northeastern Iran, the overall number of snowfall days has decreased over time.


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