Search published articles
Showing 174 results for ara
Mostafa Karampour, Yeganeh Khamoshian Sahneh, Zohreh Ebrahimi, Hamed Heidari,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
Atmospheric rivers are one of the atmospheric phenomena that generate heavy rainfall and can lead to significant human and financial losses. Understanding the synoptic mechanisms of water vapor flux and atmospheric river formation in the country's atmosphere, as well as revealing the interaction between the NAO (North Atlantic Oscillation) zonal component and the creation and intensification of this atmospheric phenomenon, can greatly improve the predictability of torrential rainfall events. The main goal of this research is to investigate the atmospheric river phenomenon in the Iranian atmosphere and its relationship with the phases of the NAO phenomenon. In this regard, data on the zonal and meridional components of wind, specific humidity, and NAO anomalies were obtained from the NOAA database during the statistical period of 1944–2019. The results showed that during the study period, atmospheric rivers have shifted in terms of longitude and latitude, moving toward the southern half of Iran. A high correlation was observed between the NAO index and meridional flows at levels above 600 hectopascals. Additionally, a sigma value of 0.2101 indicated a strong correlation with the NAO in the area where atmospheric rivers enter the Iranian atmosphere. High-pressure centers play an important role in directing atmospheric rivers. These rivers cannot pass through high-pressure centers and typically exhibit meridional curvature at the outer borders of these centers in the Northern Hemisphere, resulting in southwest and northeast orientations. The primary moisture source for atmospheric rivers entering Iran is the Atlantic Ocean, which is further enhanced by water bodies such as the Red Sea, the Sea of Oman, the Indian Ocean, and the Persian Gulf.
Monireh Rodsarabi, Mohammad Baaghideh, Dr Alireza Entezari, Fatemeh Mayvaneh,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
To assess thermal comfort conditions in classrooms, a field study was conducted in Sabzevar. The thermal sensations reported by students regarding classroom conditions were documented at various times throughout the day during the 2009–2010 academic year across multiple classes. temperature and humidity data within the classrooms were recorded simultaneous using a data logger. To analyze differences, both ANOVA and the Kruskal-Wallis test were employed. The findings indicated that the geographical orientation and floor level of the classrooms did not significantly influence temperature and humidity levels. In contrast, significant hourly variations in these parameters were observed. Overall, reports of cooling sensations were more prevalent than those of heating sensations (24% vs. 12%). Thermal sensation exhibited considerable variation across different months, with October recording the lowest frequency of thermal comfort sensations. In all months except October, students expressed a preference for "heating." Although the performance of the heating system was deemed adequate, its operational schedule should be modified to commence closer to the beginning of morning classes in order to mitigate substantial energy waste. While temperature and humidity within the classrooms did not present significant monthly variations, students' thermal sensations varied markedly between months. This suggests that thermal sensation is influenced by factors beyond mere physical characteristics (temperature and humidity). In addition to climatic parameters, individual characteristics such as sex, age, weight, height, clothing, and activity level also play a significant role in shaping perceptions of thermal comfort.
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.
Mohammad Hasan Yazdani, Samira Saeidi Zaranji, Kamran Dolatyariyan,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
Urban development strategy represents a contemporary approach in urban planning and management, offering a framework for achieving sustainable urban development through poverty reduction, citizen participation, and increased investment. Like many cities in Iran, Ardabil faces numerous challenges, including inadequate governance, deteriorating infrastructure, substandard housing, weak public utilities, and insufficient social and health services. These issues underscore the necessity of strategic planning to address urban development effectively. This study aims to evaluate the indicators of urban development strategy in Ardabil. Employing a descriptive-analytical methodology, the research is grounded in field investigations. A sample size of 230 participants was determined using Sample Power software. Data analysis was conducted using one-sample T-tests and structural equation modeling (SEM) in AMOS Graphics software. The results of the one-sample T-test revealed that the status of urban development strategy indicators—livability, good governance, bankability, and competitiveness—in Ardabil is suboptimal, with mean scores of 2.21, 2.6, 2.62, and 2.15, respectively. Second-order factor analysis indicated that among the dimensions of urban development strategy, competitiveness, with a factor weight of 0.93, exerts the most significant influence, while bankability, with a factor weight of 0.62, has the least impact. Furthermore, the findings demonstrated that an improvement in the good urban governance index leads to a 0.55 increase in bankability, a 0.76 increase in livability, and a 0.86 increase in competitiveness. These results highlight the interconnectedness of governance quality with other dimensions of urban development, emphasizing the need for integrated strategies to enhance Ardabil's urban sustainability.
Dr Mahdi Charaghi, Dr Hossein Tahmasebi Moghaddam, Master's Student Mohammad Reza, Nemati, Phd Saeed Nasiri Zare,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
The advancement of tourism in any region necessitates a thorough understanding of the area's potential, alongside the provision of requisite facilities and services for tourists. Effective planning at all levels is essential to realize successful tourism development. This research investigates the challenges associated with service provision and ranks tourist destinations based on their tourism potential in Zanjan Province, Iran. The study employs a mixed-methods approach, integrating qualitative and quantitative techniques, with data gathered through interviews and questionnaires. Interview data were analyzed utilizing MaxQDA software, while the Analytical Hierarchy Process (AHP) was applied to evaluate criteria, and geographic modeling was employed to assess the spatial distribution of tourist destinations. The findings indicate that Zanjan Province, despite its considerable tourism potential, contends with multiple challenges, including inadequate facilities, inconsistent policies aimed at enhancing tourism services, and insufficient management and planning for tourism development. These challenges have impeded the province's progress in the tourism sector. Two primary concerns identified are the overall low level of services and the lack of coherence in planning and perspectives regarding tourism development. Nonetheless, the geographical distribution analysis identifies several high-potential tourist destinations, including Soltanieh Dome, Gen Chimneys, Angoran Mine, Oljaito Ecotourism Resort, Soltanieh Ecotourism Resort, Boutique Hotel, Zulfaqari Mansion, El Daghi, Seyed Mohammad Bridge, Zanjan Jame Mosque, Khedevi House, and the Colorful Mountains. These destinations, classified within the first cluster, are distinguished by their high tourism potential and accessibility, attributed to their unique features and proximity to populated areas. Consequently, they warrant prioritization in service planning and development initiatives. In conclusion, while Zanjan Province possesses substantial tourism potential, it is imperative to address systemic issues such as inadequate facilities, inconsistent policies, and poor management to foster sustainable tourism growth. Prioritizing high-potential destinations can establish a foundation for targeted development, enabling the province to enhance its tourism services, attract a greater number of visitors, and achieve long-term success within the tourism sector.
Ms. Aida Faroghi, Professor Manuchehr Farajzadeh, ,
Volume 25, Issue 78 (9-2025)
Volume 25, Issue 78 (9-2025)
Abstract
In this study, the frequency of merging events between the polar-front jet stream and the subtropical jet stream, along with their impact on precipitation patterns in western Iran, was analyzed over a ten-year statistical period (2010–2019). Utilizing coding in GrADS, 300 hPa jet stream maps were produced at six-hour intervals. Throughout the study period, the axes of these two jet streams merged on several occasions.
An examination of the frequency of merging indicated that, prior to 2015, the frequency of merging in December exhibited an increasing trend. However, this trend diminished in 2016 and 2017, only to experience a resurgence in 2018 and 2019. It is noteworthy that not all instances of jet stream merging resulted in significant precipitation events (e.g., December 2011, 2014, and 2017). For instance, in light of the substantial rainfall of 110 mm recorded at the Dehloran station, the period from December 12 to 15, 2010, was selected for detailed analysis to elucidate the atmospheric mechanisms responsible for the rainfall. From December 12 to 15, 2010, a decline in air temperature over Europe and Southwest Asia prompted a considerable meridional displacement of the polar-front jet stream, resulting in its merger with the subtropical jet stream. On December 12, 2010, as the polar-front jet stream underwent meridional movement and extended into tropical regions, its velocity core merged with that of the subtropical jet stream over the northern Arabian Peninsula, the Red Sea, and northeastern Africa. The convergence of these two jet streams led to a vertical expansion of the jet stream into lower atmospheric levels. At the mid-levels of the atmosphere, minimal meridional movement was observed. As a result, the Sudan low-pressure system migrated to higher latitudes, merging with the Mediterranean low-pressure system.
Miss Tara Heidari Orojloo, Dr Afshin Afshin Ghorbani Param, Dr Faramrz Hasanpour,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
The climatic conditions of various regions in Iran are critical parameters in the design and provision of thermal comfort within residential architecture. This study aims to develop appropriate climate-responsive design models for Shiraz, grounded in thermal comfort indicators. The research employs a descriptive-analytical methodology, utilizing advanced modeling software, specifically the Grasshopper plugin, for simulation purposes. Climatic data for the city of Shiraz has been extracted using the Ladybug plugin, with the relevant EPW file incorporated into the analysis. This data was then employed to simulate climate tables, generate diagrams of flowerbeds, and determine optimal building orientations, in addition to creating psychrometric diagrams to identify the most effective design solutions aligned with the local climate. The findings indicate that Shiraz falls within the climate comfort zone during the winter and spring months, notably in February, March, and April. However, it is important to note that the temperature during these months, with the exception of April 13-16, often exceeds the comfort range. Consequently, it is recommended to position the majority of windows on the southern façade and to incorporate auxiliary heating systems. Conversely, during the months of June, July, August, and September, temperatures surpass the comfort level; thus, the integration of materials with high thermal mass, appropriate shading devices, and the utilization of evaporative cooling systems are essential to alleviate internal conditions and maintain indoor comfort levels.
Tahereh Karimi, Amir Karam, Parviz Zeaieanfirouzabadi, Seyyed Mohammad Tavakkoli Sabour,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
Slope hazards and landslides annually inflict substantial damage in the mountainous regions of Iran, particularly within the eastern Alamut area of Qazvin province. Recent advancements in radar technology have facilitated the detection of ground surface movements, including slow slope motions and active landslides. The present study employs Sentinel 1A satellite descending data from 2018 to 2020, utilizing the Small Baseline Subset (SBaS-InSAR) methodology alongside digital elevation model (DEM) difference techniques. This approach aims to extract slope movements and Earth surface displacements, serving the critical objective of identifying new and active landslides while updating the landslide map to enhance landslide risk prediction. The results indicate that the SBaS model, which was corroborated with GPS data, field investigations, and Google Earth imagery, demonstrated a commendable level of accuracy (AUC = 0.78). The average annual movement over the study period was estimated to range from -48.6 to 40.2 mm, leading to the identification of fourteen landslide zones in the region, several of which continue to exhibit activity. Specifically, the landslide that transpired in Khobkuh on April 3, 2020, was assessed using the DEM difference model, which estimated surface changes between -1.62 and 2.75 meters. Conversely, the differential interferometry model calculated the displacement rate in this area to be between -25 and 70 mm. These methodologies offer significant advantages for estimating Earth surface displacement, subsidence, and landslides, facilitating the identification of vulnerable areas in mountainous regions and contributing to the mitigation of financial and human losses.
Ms Zahra Sharghi, Dr Mostsfs Basiri, Dr Mahsa Faramarzi Asl,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
The emergence of new cities can be attributed to the significant increase in the population of urban areas. Over the past two decades, numerous new cities have been established in proximity to the country's metropolises, with the new city of Sahand serving as a pertinent example. The primary objective of this research is to elucidate the physical development trajectory of Sahand, utilizing Landsat satellite imagery spanning the statistical period from 1373 to 1401. To this end, satellite images corresponding to four distinct statistical periods (1373, 1383, 1393, and 1401) were acquired from the Landsat 5 and Landsat 8 satellites. By applying a band calculation function to the images captured by the Thematic Mapper (TM) and Operational Land Imager (OLI) sensors, the physical changes in the urban fabric of Sahand during the specified temporal intervals were quantified and analyzed. The findings of this research indicate that the physical growth and development of Sahand commenced in 2013, at which point the urban area encompassed 282 hectares, representing a 28-fold increase since that year. In the subsequent decade, the urban area expanded to 570 hectares, reflecting a 100% growth relative to the previous decade. Ultimately, during the final decade under review, the urban area reached 850 hectares, exhibiting a growth rate of 50%. Notably, District 6 of Sahand, which constitutes approximately 35% of the city's physical fabric, emerged as one of the fastest-growing regions between the years 1393 and 1400. Moreover, a statistically significant correlation was identified between population growth and the physical development of Sahand during the statistical period from 1380 to 1400, with a confidence level of 0.95 (P_value=0.05) and a correlation coefficient (R) of 0.91. Consequently, the regression model fitted to the relationship between population growth and urban fabric expansion, when incorporating the projected population density following the implementation of Mehr housing policies (which anticipates a population of 185,000), suggests that the area of Sahand's physical fabric will increase to 1,181 hectares in the forthcoming decade, indicating a growth rate of 38%.
Mahdi Yaraghi Fard, Samaneh Jalilisadrabad,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
A healthy city concept aims to prevent the development of various diseases through effective urban design and land use. Shiraz city and Fars province have the highest incidence of road and pedestrian accidents. Additionally, depression among the elderly serves as a precursor to other health issues, necessitating enhanced social and healthcare initiatives to raise awareness, improve life expectancy, and foster a sense of community belonging. This study aims to measure indicators and elucidate healthy urban spaces through a smart city approach in Shiraz. It is practical in purpose and descriptive-analytical in nature and methodology. The statistical population was drawn from a group of university experts and municipal employees to gather insights on health-oriented urban development within the smart city framework. Data collection was based on comprehensive library research. To analyze the data, inferential methods were employed, including the single-sample t-test, analysis of variance (ANOVA), Scheffe's post hoc test, and factor analysis. SPSS software was utilized for data analysis. The results indicate that the indicators examined are complementary and contribute positively to the health of citizens. Furthermore, 11 factors have been identified as critical dimensions for a healthy city aligned with the smart city approach: air quality, social interaction, safety, social participation, climatic comfort, social security, access to water, sewage and waste management, social justice, urban green space, education, poverty, and employment. Ultimately, the research hypotheses have been confirmed.
Mrs Reyhaneh Agharajabi, Dr Mohammadreza Rasouli, Dr Seyed Mahmoud Nejati Hoseini,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
This study explores the cultural geography and styles of religiosity among Iranian users on Instagram, with a particular focus on how virtual spaces shape religious expression. Adopting an inductive approach, the research utilizes netnography (online ethnography) as a qualitative method. Instagram pages with religious content and significant follower counts—managed by influential figures in the religious sphere—were selected as the study sample. In total, 14 Instagram pages representing diverse religious orientations were analyzed. The posts, comments, and other published content on these pages served as the units of analysis, and data coding was conducted using MaxQDA software. Findings revealed that after the ritual dimension, the moral dimension was the most frequently recurring theme. Through analysis, nine distinct types of religiosity were identified among users, highlighting the influence of virtual geography on religious behavior and perceptions. Each user embodied a unique form of religiosity within the "soft cities" of the digital space, shaped by their environmental context and accumulated spatial experiences within the religious marketplace of Instagram. Among the dominant types were ritualistic religiosity, characterized by an emphasis on practices and ceremonies, and traditionalist religiosity, which aligns closely with official religious discourse. Other identified forms included rational, self-referential, epistemic, mystical, mixed, emotional, and fundamentalist religiosity. These categories reflect the pluralism of religious identities, values, and behaviors in Iranian society as manifested in cyberspace. Ultimately, the study underscores the profound impact of virtual cultural geography on contemporary religious culture and its diverse manifestations in digital environments.
Arefe Shabani Eraghi, Seyed Mohammad Zamanzade, Fariba Karami,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
Reconstructing paleoclimate, particularly environmental temperature, plays a crucial role in understanding both current and future climate patterns. The aim of this research is to investigate the climatic conditions and estimate the ambient temperature during the Holocene period based on two sediment cores extracted from the Jazmurian Basin. Paleotemperature reconstruction was conducted using several methods, including the calculation of the standardized coefficient of variation of oxygen-18 and carbon-13 isotopes. For this purpose, the isotopic analysis of oxygen-18/oxygen-16 and carbon-13 was performed. In Jazmurian core 1, the initial temperature was estimated at 46°C. A decreasing trend of approximately 10°C was observed down to a depth of 175 cm, distributed across eight stratigraphic levels. At 175 cm, the temperature shows an increasing trend, followed by a decline at the subsequent level, and then a return to an increasing and stable trend in the next two levels. In Jazmurian core 2, the initial temperature was approximately 50°C. A sharp decrease in temperature is observed between depths of 80 to 125 cm. Subsequently, there is a slight increase of about 1°C, which remains relatively stable until a depth of 170 cm. Beyond this point, the temperature decreases again in the final two layers. The concentration of carbon-13 in core 1 ranges from 0 to 25.6, while in core 2 it varies between 25.9 and 27.1. In core 1, six carbon -13 isotope samples show a value of zero, indicating an absence of carbon-13 in those sediment layers. In contrast, core 2 displays a narrower range of variation in carbon-13 values. The isotopic and temperature variations observed in these sediment cores reflect different climatic phases during the Holocene in the Jazmurian region. Such climatic changes are often linked to cultural shifts, and the decline of ancient civilizations has frequently coincided with environmental transformations. The findings of this research may be of significant value to archaeology researchers, particularly those studying ancient Iranian civilizations.
Kiomars Khodapanah, Arasto Yari,
Volume 25, Issue 79 (12-2025)
Volume 25, Issue 79 (12-2025)
Abstract
Water resource management, during the development of its conditions and scope, is subject to various dimensions and constraints. Therefore, identifying the contributing factors for sustainable water resource management is essential for optimizing its use. This research focuses on the central rural areas of Ardabil County, examining farmers' perspectives on the factors influencing the management of sustainable water resources (including Sharif Baigloo, Hakim Gheshlaghi, Sham Asbi, Vakil Abad, Omidche, Pirghavam, Aghbalagh Rostamkhani, Gharelor, and Gilandeh). This study employs a descriptive-analytic approach with an applied focus and utilizes quantitative methods. The statistical population consists of heads of farming households in the central region of Ardabil County. Seven dimensions were considered, encompassing 72 components, with a calculated sample size of 349 participants. The sample distribution across the villages was conducted randomly and proportionally to the size of farming household heads in each village. Smart PLS software was utilized for analysis. The initial assessment of the measurement model demonstrated a good fit, with 68 components exhibiting impacts above the factor of 0.5. The results of the structural model indicated significant structural relationships between sustainable management and economic, social, productivity, technical, educational, and institutional factors. Furthermore, the coefficient of determination (R²) exceeded the threshold of 0.26 for all dimensions, indicating strong relationships. Specifically, the lowest R² for the economic dimension was 0.299, while the highest value for the productivity dimension was 0.511. These findings suggest that revising perspectives on agricultural water management, with a shift towards an integrative, participatory approach focused on optimal management while considering economic, social, technical, educational, and other relevant dimensions, is crucial for achieving sustainable water resource management.
Behroz Ghadar, Sadegh Besharatifar, Zarin Forougi Forougi,
Volume 26, Issue 80 (3-2026)
Volume 26, Issue 80 (3-2026)
Abstract
Abstract
Evaluation of indicators of sustainable development, as the axis of human excellence, is the dominant basis of urban planning and land management and has a decisive role in spatial dispersion and the formation of environmental behavior of human societies. The method of this research is descriptive-analytical and its main tool is a researcher-made questionnaire. Data were collected using library and survey methods (questionnaire tool). The statistical population is 35 neighborhoods of Bandar Mahshahr that the sample size through Cochran's formula with 95% confidence level using the number of households in Mahshahr 382 people who through simple random sampling in the neighborhood has distributed a questionnaire. Based on the research criteria, the results show that the neighborhoods of Bandar Mahshahr are in a state of instability and the severity of instability is different between them. So that in the selected indicators from the 35 neighborhoods, only neighborhoods 1, 2, 6, 15, 16, 17, 19 are at a stable level and other neighborhoods (28) are in an unstable situation, this situation is affected by their position in It is the spatial structure of the city, which has led to the formation of neighborhood inequalities in terms of indicators of social stability and segregation. The results of route analysis have shown that all economic, social, physical, environmental and spatial justice indicators have a positive and significant effect on sustainable development of Mahshahr city, among which the economic index has the greatest effect on sustainable development of urban areas.
Keywords: evaluation, sustainable development, neighborhoods, planning, Mahshahr
Site Keywords:
Scientific Journal, Geographical Sciences, Climatology, Urban Geography, Rural Geography, Remote Sensing, Tourism, Geomorphology, Scientific Article
This work is licensed under a Creative Commons — Attribution-NonCommercial (CC BY-NC).
© 2025 CC BY-NC 4.0 | Journal of Applied Researches in Geographical Sciences
Designed & Developed by: Yektaweb
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)