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Showing 30 results for Mohammadi
Mrs. Atefeh Shahmohammadi, Dr. Ali Bayat, Mr. Saeed Mashhadizadeh Maleki,
Volume 22, Issue 67 (12-2022)
Volume 22, Issue 67 (12-2022)
Abstract
Air pollution is one of the major problems in large cities, which can be harmful to human health and the environment. Isfahan is one of the most polluted cities in Iran.
Its geographic location and low wind speed, industrial activities, transportation, agriculture, and other human activities have created critical air pollution conditions for the city. Nitrogen dioxide is an important pollutant of air pollution, which is monitored using ground stations and satellite measurements. In this paper, daily data of nitrogen dioxide from Ozone Monitoring Instrument (OMI) satellite sensor, wind and surface temperature of Isfahan Meteorological Station data were used between October 2004 and May 2016. The average amount of nitrogen dioxide in the measured range is .The highest amount of nitrogen dioxide ( ) was observed in December and the lowest ( ) was observed in July. The standard deviation of the winter season ( ) is higher than the summer season ( ). The correlation coefficient of nitrogen dioxide with wind and temperature was -0.41 and -0.54, respectively, which indicates the higher importance of temperature in nitrogen dioxide changes. After the formation of the time series, the average monthly nitrogen dioxide content was determined using spectral analysis of least squares of statistically meaningful peaks corresponding periods. These statistically meaningful peaks corresponding periods have been eliminated from the mean monthly nitrogen dioxide time series, and with the linear fit on the residual time series, the trend has been calculated. The nitrogen dioxide trend for Isfahan is per year with 95% confidence.
Dr Hamid Reza Mohammadi, Me Mohsen Pakparvar,
Volume 24, Issue 73 (6-2024)
Volume 24, Issue 73 (6-2024)
Abstract
In relation to the housing of the disadvantaged, the possibility of access to a suitable housing for every Iranian household in accordance with the household's needs in such a way that the housing concern does not exceed other areas of the household's life and stable and safe access to the household's housing is also guaranteed, showing the ideal vision of the housing sector in documentary studies, is related to disadvantaged groups. The purpose of this study is to achieve the set of strategies and the general form of realistic and effective programs in the field of housing support for the deprived and low-income groups, which, while determining the limits and type of government intervention in relation to housing and different economic groups, will make the target groups enjoy support programs faster. This study is based on the combined model of SWOT strategic analysis and QSPM strategic planning model and examines the findings of studies and the results of interviews with experts in the field of geography and urban planning. SWOT analysis showed that 1- Ignoring the lack of simultaneous use of the process of management and operation of low-income housing based on the participation of local social institutions and non-governmental organizations 2- Lack of necessary knowledge or disregard for the diversity of needs of the deprived and disregard for Special Characteristics of Target Groups 3. The imbalance between the benefits of different individuals in different groups in relation to support programs has led to the inefficiency of the policies of the deprived and the enjoyment of supportive housing for this group. "Empowerment programs" and "Attracting participation by exploiting local capacity and internal capacities by developing and diversifying empowerment", along with a general balancing policy to increase capacity in non-governmental sectors based on household participation. Faster households have support programs Provides housing and participation of all stakeholders in planning.
Keywords: development programs, government policies, housing for the deprived, SWOT analysis, QSPM model.
Mr Masihollah Mohammadi, Prof Behrooz Sobhani,
Volume 25, Issue 76 (3-2025)
Volume 25, Issue 76 (3-2025)
Abstract
Relative humidity is considered to be one of the most important climatic parameters and atmospheric phenomena. The purpose of the present study is to evaluate the regional algorithms for estimating relative humidity using remote sensing data in Hormozgan province. To this end, MOD05 and MOD07 products were employed to estimate total perceptible water, air temperature, and sea-level pressure Additionally, MOD35 was used for cloud verification, , resulting in the identification of 2190 cloudless images with 95% confidence level for analysis. radiosound data of Bandar Abbas ststion and synoptic stations Covering entire Hormozgan Province. were used to evaluate the results. The findings demonstrated high accuracy of the algorithms and experimental model, with acceptable R² and RMSE values between Modis product and ground data. These results align well with ground station measurements. The province's climate was determined to be semi-desert with a long warm season and a short cool period. Further analysis revealed a strong correlation between sea-level pressure and total perceptible water (TPW) with the region's topography. Maximum TPW and sea-level pressure values were recorded in coastal lowlands, while minimum values occurred in the highlands. Based on zoning maps, Hormozgan province can be divided into four regions based on relative humidity: from very dry conditions with less than 20% relative humidity in the highlands to humid areas with over 65% relative humidity along the coast.
Mis Ameneh Alibakhshi, Dr Mohammadreza Pourmohammadi, Dr Rasoul Ghorbani,
Volume 25, Issue 77 (6-2025)
Volume 25, Issue 77 (6-2025)
Abstract
In recent decades, one of the main challenges in studies related to regional development is the search for understanding the economic and cultural differences between the national and regional levels in order to predict the transition that will lead to regional development. One of the systems that plays an important role in regional development is the regional innovation system. To this end, the aim of the present study is to identify the key drivers of regional innovation in the Tabriz metropolis. In this regard, the study is applied in terms of purpose and descriptive-analytical in nature. Two library and field methods were used to collect the required information. The statistical population of the study includes 32 qualified individuals in the industry, university, and government sectors who were selected as purposive sampling. The data were also collected from the Miqmac software for analysis. The research findings show that out of a total of 71 influential factors, 13 factors include an appropriate productivity culture, laws and regulations, the existence of a teamwork culture between activists and established industry units, information and communication technology infrastructure, sufficient funding for university research infrastructure, higher education, patent programs, higher education policy, performance evaluation and payment system, financial support, a special and flexible tax system for research and development, and research centers.
Majid Goodarzi, Ali Ashkboos, Behnam Mohammadi,
Volume 25, Issue 77 (6-2025)
Volume 25, Issue 77 (6-2025)
Abstract
The intermediate development approach posits that vacant lands and the deteriorating structures within urban areas should be prioritized for development rather than expanding into the periphery of cities currently under construction. Acknowledging this significance, the present article endeavors to identify and prioritize the barriers to intermediate development in Zabol, utilizing Chang's technique. This applied study employs a descriptive-analytical research methodology, incorporating both library research and survey research (field studies) for data collection. The statistical population for identifying the obstacles to intermediate development comprised all residents of Zabol city in 2023. The sample size was calculated to be 384 using Cochran's formula, and a purposive sampling method was employed to gather the data. The reliability of the research instrument was assessed using Cronbach's alpha coefficient, yielding a value of 0.80. The identification of obstacles was conducted through a sample t-test in SPSS, followed by the prioritization of the identified barriers. Data were collected from existing information about the city and through a questionnaire distributed to 20 relevant experts. Subsequently, the data were analyzed using Chang's technique (AHP-FUZZY). The findings indicated that the most significant obstacle to the implementation of the intermediate development plan for Zabol city is the economic index, which received a final weight of 483.
Rastegar Mohammadi, Mohammad Saligheh, Mohammad Hossein Naserzadeh, Mehri Akbari,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
Extratropical cyclones, characterized by their frequency, duration, and intensity, serve as the primary drivers of mid- and high-latitude precipitation across the Mediterranean during the winter and autumn months. For this research, climatic variables obtained from the ECMWF network, featuring a temporal resolution of 6 hours and a spatial resolution of 0.25° × 0.25°, spanning from 1979 to 2016, were utilized. Additionally, precipitation data from four basin stations sourced from the Asfezari database for the same period were analyzed. Initially, geopotential height, temperature, humidity, and jet stream data for rainy days were extracted using MATLAB. Subsequently, a cyclonic center extraction algorithm was applied to identify cyclonic centers from the geopotential height data, based on the conditions that the geopotential height is at a minimum and the geopotential gradient is at a maximum. From the geopotential height matrix of rainy days (361×441×498), four distinct atmospheric patterns were identified through cluster analysis. The temporal and spatial frequency of these patterns, as well as the average temperature of cyclonic centers, were analyzed for the cold season months. The results indicated that the first pattern, identified as the Mediterranean trough pattern, is the most frequent, occurring 42% of the time. This pattern is characterized by the presence of a high-level system acting as a barrier, which deepens the low-level Mediterranean system and extends its axis toward the Red Sea. The interaction between low-level and high-level systems enhances instability, resulting in the highest precipitation levels among the identified patterns. Conversely, the fourth pattern, termed the western wind trough pattern, exhibits the lowest frequency at 10%. This pattern is characterized by a trough over the Caspian Sea; however, a high-level system in the southern region inhibits the entry of low-level systems, thereby confining cyclonic activity to the northern portion of the study area. Consequently, the isobars in the northern region assume a more orbital configuration, leading to a decreased influx of cyclones and, as a result, lower precipitation amounts compared to the other patterns. The analysis further revealed that cold-core cyclones accounted for 60% of occurrences in winter and 40% in autumn, while hot-core cyclones constituted 62% in winter and 38% in autumn. Notably, the frequency of hot-core cyclones increased relative to cold-core cyclones in winter, whereas an inverse trend was observed in autumn. Over the past decade, both the frequency and intensity of cyclones have diminished compared to the preceding two decades. In terms of cyclogenesis locations, the western part of the study area has consistently emerged as the most active region. Moreover, cyclogenesis activity exhibits a gradual increase from autumn to winter as the cold season progresses. These findings underscore the dynamic nature of extratropical cyclones and their significant role in shaping precipitation patterns across the Mediterranean region.
Mohsen Azizi, Hossein Mohammadi, Dariush Taleghani,
Volume 25, Issue 78 (9-2025)
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.
Phd Mohammad Mohammadi, Hossein Asakereh, Abdollah Faraji,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
Today, energy consumption plays a decisive role in the qualitative and quantitative development of human life. One of the energy sources that aligns with development, economic prosperity, and the acquisition of climatic comfort is natural gas. This energy source, especially in cold regions of the country, is essential for providing thermal comfort and requires proper management. Effective management of this fossil energy source depends on awareness and accurate forecasting of its demand. For this reason, the demand for natural gas in Zanjan city, one of the cold cities in Iran, was studied and modeled. Two groups of data—weather elements and natural gas consumption—over a period of 9 years (2013–2021) on a daily scale were used for this study. CurveExpert software and regression methods were employed to model the demand for natural gas in the city. Based on the most accurate pattern, temperature was selected as the only independent variable in the chosen model. Polynomial regression, with a correlation coefficient of 0.94 (coefficient of determination of 89.03%), was selected as the final model. The analysis revealed that the percentage increase in natural gas consumption per one-degree decrease in temperature varies across different temperature ranges. From 22°C to 16°C, the highest percentage increase in consumption was observed, while from 0°C to -5°C, the lowest percentage increase per one-degree decrease in temperature was recorded. The turning point and the beginning of issues related to natural gas shortages in Zanjan city were identified to occur at temperatures below -7°C.
Sharifeh Zarei, Dr. Bohloul Alijani, Dr. Zahra Hejazizadeh, Dr. Bakhtiar Mohammadi,
Volume 25, Issue 78 (9-2025)
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.
Mis Zahra Asgari Gandomani, Mr Hamid Roodbari, Mr Yaghoob Mohammadi,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
Green marketing has emerged as a significant area of interest, particularly among sports consumers who express concern regarding environmental issues and demonstrate a willingness to purchase eco-friendly products. Nonetheless, the actual sales of such green products remain below expectations. Consequently, this study aims to examine the influence of environmental factors—including attitude, concern, and sense of environmental responsibility—on the purchasing intentions of environmentally conscious sports consumers. The present survey study gathered data from 384 Iranian students through a seven-point Likert electronic questionnaire comprising 27 items. Participants were selected using a simple random sampling method. A total of 390 questionnaires were distributed, with 384 deemed valid for analysis. The data were analyzed using PLS software to assess the reliability and validity of the model, as well as to test the hypotheses of the structural model. Findings reveal that environmental attitude serves as a significant driver of consumers' green purchasing behavior. Furthermore, a statistically significant relationship was identified between environmental responsibility and green purchasing behavior. However, no statistically significant relationship was found between environmental concerns and green purchasing behavior. Additionally, the relationship between individual green values and environmental attitude, environmental concerns, environmental responsibility, and green purchasing behavior was statistically insignificant. To leverage these insights, companies should cultivate a positive image of environmental responsibility for their products through strategic branding initiatives. This approach could enhance consumer support among those who prioritize the purchase of environmentally friendly products.
Site Keywords:
Scientific Journal, Geographical Sciences, Climatology, Urban Geography, Rural Geography, Remote Sensing, Tourism, Geomorphology, Scientific Article
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