Showing 708 results for Type of Study: Research
Dr Habibollah Fasihi, Dr Taher Parizadi, Mrs Nahid Noori,
Volume 0, Issue 0 (3-1921)
Abstract
Among the many kinds of natural hazards, earthquake is one of the rare events that human science has not yet been able to control or even predict. Physical structure conditions of human settlements play an important role in vulnerability to this natural disaster. The purpose of this article is to investigate natural and physical characteristics of Kuhdasht in terms of earthquake vulnerability. The city with a population of 90,000 and an area of about 540 ha, locates in the west of Lorestan province, Iran. The data are provided from GIS file of 2016 Iranian Public Census of Population and Housing, GIS files of Kuhdasht land use and GIS files of Iran faults and lithology. A few layers have been added to these files through observation. It is used Arc-Map 10-8 to combine layers and produce maps. Then we used Excel software to do statistical analysis on data tables. Findings showed that the site of study area locates in a middle risk zone of earthquakes, but its close distance to active faults can be a warning for occurring destructive earthquakes. High proportion of non-resistant buildings, high density of buildings in some parts of the city and the presence of two gas stations in the middle of residential buildings, are the most important components of Kuhdasht vulnerability. In contrast, plenty of open spaces, high proportion of non-apartment houses, low population density and permeability of passages are important strengths in this regard. The central part of the city from which the city originated, is more vulnerable than the other parts. Due to the existence of the trade centers here, it is necessary to pay more attention to in future plans.
Shahram Emamgholi, Gholamrezaa Janbaz Ghobadi, Parviz Rezaei, Sadroddin Motevali,
Volume 0, Issue 0 (3-1921)
Abstract
Temperature is one of the basic elements of climate, so its sudden or short-term and long-term changes can change the climate structure of any place. Intense heat waves are one of the most important climatic disasters that have far-reaching effects on various human activities and when they are of high intensity and frequency, they can produce major problems. In this study, to investigate the trend of 49-year frequency series (1970-1970) of hot wave events in Tehran, from two indices of hot days and hot waves (hot days lasting 2 days or more), non-parametric statistics of Sens trend analysis were used. All stations indicate an increasing trend both in the number of hot days in Tehran and in the frequency of hot wave events in 5 stations in Tehran. In this study, two hot waves were identified in Tehran, the first wave in 2010 covered a large part of the central and western parts of the country and the second wave in 2013, which was in all stations of Tehran and even many provinces. Are registered in the country. The results of spatial analysis of hot wave temperature in the statistical blocks of Tehran showed that generally the central areas of Tehran, including areas 6, 7, 8, 10, 11, 12, 14, 15, 4, 7, and 19 significantly It has been affected by the critical temperatures caused by the warm wave rule, while the northern parts of Tehran have been affected by the lower intensities of the hot wave.
- Mohammad Reza Ghorbani Param, - Pouyan Shahabian, - Vahid Dinarani, - Ronak Najafi,
Volume 0, Issue 0 (3-1921)
Abstract
The quality of the urban environment is one of the important indicators of the development of any city. In this regard, the type of pattern that can be used in cities can have a great impact that biophilic urban planning is one of the most important patterns due to its relationship and centrality with nature. The purpose of this study is to explain the environmental quality criteria of Tehran according to the components of biophilic urban planning. The research method is descriptive-analytical and based on data collection through survey method. The research tool was a questionnaire whose validity was confirmed by the elite community and its reliability was confirmed by Cronbach's alpha coefficient greater than 0.70. The statistical population of the study also consists of urban experts and specialists, including academics and experts in Tehran. Due to the lack of statistics in this area, coronary and cost constraints, 120 experts were selected as the sample size. The results showed that the structural-functional, content and physical-spatial indicators of the quality of Tehran's urban environment based on biophilic urban planning were significant at a level of less than 0.05. The study of the mean and significant direction indicates the weakness of these indicators and lack of attention to biophilic urban planning in the planning of this city. Also, the results of structural equation modeling confirmed that the structural-functional, content and physical-spatial indices of biophilic urban planning can be effective in improving the quality of Tehran's urban environment. . Therefore, biophilic urban planning has not been emphasized in the planning model of Tehran, but the results indicate their effectiveness in improving the quality of the city's environment if used.
Tahereh Karimi, Amir Karam, Parviz Zeaiean Firuzabadi, Seyyed Mohammad Tavakkoli Sabour,
Volume 0, Issue 0 (3-1921)
Abstract
Abstract
The catchment area of Alamut River in Qazvin province is witnessing numerous landslide hazards and landslides every year, which cause significant economic and sometimes life-threatening losses. Diagnosing the unstable areas of slopes through soil texture characteristics is a difficult task due to the difficulties of obtaining soil samples in mountainous areas. For this reason, in the present study, by using Sentinel A1 radar data, by determining the percentage of clay and sand in the soil, the soil texture map at the depths of 10, 60, 100 and 200 cm with two random forest (RF) and support vector machine (SVM) algorithms was produced in the eastern Alamut region, which was verified with soil profile samples. The results indicated that the Kappa index was more accurate in the RF model at three depths of 10, 60 and 100 cm. Then, by extracting the soil moisture map from Sentinel 2 data, at the same time as examining the internal friction angle of the types of soils in the region, comparing the slope and profile of the slopes and the shape of the convex (divergent) and concave (convergent) slopes, the unstable areas of slope movements, RF and SVM models were specified and validated with GPS data, field visits and Google Earth. Research findings show that the instability map resulting from the RF model has a higher accuracy (AUC=0.93) than the instability map resulting from the SVM model (AUC=0.90) and there is more instability in areas with medium to high slope and with soil texture of sandy clay loam and sandy loam. . This method has many advantages in preparing the soil texture map, determining the unstable areas of the slopes against mass movements and landslides, determining the vulnerable areas in mountainous areas and reducing financial and human losses.
Mr Ali Shamai, Ms Mina Heydari Tamrabadi, Ms Marjan Heydari Tamrabadi,
Volume 0, Issue 0 (3-1921)
Abstract
In recent years, urban regeneration has been proposed as an approach for modernizing the urban environment. Sustainable urban regeneration is a comprehensive approach to restore social, physical, economic and environmental development to urban areas. Considering the important effects of urban space optimization on the quality of life of citizens, especially people with disabilities in public places, sustainable urban development is a necessity. In this study, spatial quality of Tehran 6th region has been analyzed due to physical limitations of people with motor disabilities. In order to collect data, library and survey methods have been used. The statistical society of this study is immobile and aquadroplasia patients. For this purpose, a questionnaire has been completed by patients with aquadroplasia and motor disability. Using single-sample T-test, spatial quality component analysis and urban regeneration services were performed in the form of physical-spatial, functional-service, content characteristics indices. Then, using Pearson correlation analysis and regression, the relationships between indices and their impact on the quality of urban environment in district 6 were identified. The results of single sample T-test showed that the quality and satisfaction of the urban environment of district 6 are not at a high level in terms of immobility residents. The results of multiple regression analysis showed that at the level of physical-spatial characteristics, in the sub-index area of access and roads organization has the greatest effect of B=0.518 on citizens' satisfaction. At the functional-service characteristics level, social welfare services sub-index (B=0.531) has the greatest impact. At the content characteristics level, environmental health sub-index =0.680 and B=0.627 have the highest effect. The importance of indicators varies from person to person and from neighborhood to neighborhood according to their individual abilities and needs, but as the findings suggest, for the needs of people with disabilities in district 6, some measures have not been taken to optimize the urban environment of this area for social comfort, environment.
Miss Sorayya Derikvand, Dr Behrooz Nasiri, Dr Hooshang Ghaemi, Dr Mostafa Karampoor, Dr Mohammad Moradi,
Volume 0, Issue 0 (3-1921)
Abstract
sudden stratospheric warming has an obvious effect on the Earth's surface climate. In this research, the changes in precipitation during the occurrence of this phenomenon have been investigated. For this purpose, after revealing the warmings that occurred during the studied period (1986-2020), 18 warmings were identified. The 5th decile and 9th decile of precipitation were calculated for the precipitation data of 117 stations. And the size of the difference from the normal rainfall was checked in two ways. First, the precipitation at the time of warming was compared with the long-term average, and then the trend of changes in precipitation at three times before thewarming, at the same time as the warming, and after the warming was finished. Finally, these results were obtained. Warmings according to the month in which they occur; They have a different effect on the amount of precipitation. In the sudden stratospheric warming that occurred in December, January and February, the northwest experiences the most rainfall changes and is above normal, and the probability of rainfall above the 9th decile increases up to 65%. Western and southwestern regions also have higher than average rainfall and the probability of heavy rainfall is high. Precipitation on the shores of the Caspian Sea shows an inverse relationship with sudden stratospheric warming, so in all the investigations of this research, the lack of precipitation at the time of warming in these areas is significant. Southern regions have less than normal rainfall in all sudden stratospheric warming events. The center of Iran has higher than average rainfall in the sudden stratospheric warming months of March. Eastern Iran also has heavy rains compared to normal during the sudden stratospheric warming months of March.
D.r Morad Kavianirad, D.r Asiyeh Sephvand,
Volume 0, Issue 0 (3-1921)
Abstract
The water transfer of Lorestan province to desert areas, mismanagement of water resources, lowering of underground water level and reduction of surface water have created many hydropolitical challenges in this province and Lorestan is facing hydropolitical challenges in its basins. He has built a river in front of him. Identifying these challenges now and in the future can prevent future problems and crises. In the current research, the aim is to analyze the hydropolitical challenges of the river basins of Lorestan province using the future research approach. The current research is applied in terms of purpose and mixed method (quantitative and qualitative). The statistical community was experts/experts in water, economic, political issues and geographic and social science researchers. Using the non-probability sampling method, 30 experts were selected by targeted sound and theoretical saturation. To collect the data, the questionnaire of mutual effects of future research was used. Structural model and MICMAC software were used to analyze the data. The results of the research showed the forced migration of young people to industrial and desert areas (+23), the creation of conflicts in virtual networks regarding water resources and its transfer (+23), the decrease in the production of products due to water scarcity (+15), the increase Conflict between individuals and water exploiting groups (farmers, government, industry) (+13), occurrence of local and ethnic conflict and strife over water resources (+13), decrease in political security (+13), imbalance in the protection of The environment (+11) and the quantitative and qualitative decline of surface and underground water resources (+6) are the most important hydropolitical challenges of the river basins of Lorestan province. In line with the research, suggestions were given for the current research and future research. The enlightenment of this research, unlike previous studies, is the identification of hydropolitical challenges from the perspective of river basins and the future research approach.
Aliakbar Salaripour, Benyamin Hasanzadeh Baghi, Amirhossein Nourbakhsh, Zahra Seif Reyhani,
Volume 0, Issue 0 (3-1921)
Abstract
In today's world, due to the pervasiveness of the Internet and electronic information, one of the tasks of urban management is to improve the quality of life of citizens, their access, and the optimal use of urban electronic services. These services can help improve the geographical situation of the city due to reducing the need for physical movement of citizens, reducing
traffic and pollution and increasing access to services.
However, if the urban management fails to use and implement this type of service properly, there will be a negative attitude towards e-services for citizens. The purpose of this research is to evaluate the impact of urban management performance on the quality of life and the behavioral intention to use urban electronic services with an emphasis on citizen satisfaction in Mashhad metropolis. In this research, through library studies, literature review and previous researches, 67 indicators (items) have been extracted and categorized in the form of 19 components. After calculating the statistical sample size of the research through Cochran's formula, 478 questionnaires were distributed among the citizens of Mashhad. Finally, the components were evaluated using structural equation modeling with partial in Smart PLS3 software. Findings indicate that the citizens of Mashhad are moderately satisfied with the components and study subjects. The results obtained from structural equations show that The "Communications" component with a path coefficient of 0.87 affects the performance of urban management and the "Work facilitation" component with a path coefficient of 0.841 affects citizens' satisfaction with electronic services. The performance of urban management with a path coefficient of 0.717 affects the citizens' satisfaction with electronic services. Also, these two factors affect the quality of life with 0.58 and 0.252, respectively, and satisfaction with electronic services affects behavioral intention with 0.757. The urban management of Mashhad can pay attention to the results obtained from this research to achieve a city with desirable and satisfactory electronic services.
Mohammad Radman, Mohammad Saligheh, Mohammad Hossein Naserzadeh,
Volume 0, Issue 0 (3-1921)
Abstract
In order to comprehend the water flow characteristics and variations of the Karun River, we examined the Zaz, Bazoft, and Beshar sub-basins from its main branches. The reason for choosing these basins was the proximity to the catchment centers of the Middle Zagros and their location upstream of the dams.
Iran Water Resources Management Company provided all the required data (from the water year
1356-57 to 1395-96), and we analyzed them using Kolmogorov-Smirnov tests, data skewness, skewness, and Pearson correlation. Then, we performed the linear regression test to determine the effect of temperature and precipitation on river discharge, and they conducted the Mann-Kendall test to identify the trend and jump points. The results of the data analysis showed that all of them are in normal conditions, although they have some elongation and skewness. The Pearson correlation test revealed a correlation between meteorological and hydrometric data.
The regression model used shows the changes in precipitation and discharge (unlike temperature and discharge) well. The significance number of all stations in the model is less than 0.05, which shows that the changes that occurred between predictor and dependent variables are significant. We see the high performance of the model in explaining the changes in discharge compared to precipitation. According to the regression charts, the decreasing trend of precipitation and discharge and increasing temperature are clear in all three basins.
The Mann-Kendall test reveals a significant trend of increasing temperature in Bazeft and Bashar basins, a decreasing trend of discharge in Bazeft and Bashar basins, and a decreasing trend of precipitation in Zaz and Bazoft basins.except for the temperature of the Zaz basin, all variables show mutations in mutation basins.
Atefeh Rezaei Talei, Zahra , Buhlol Alijani, Hematolah Roradeh, Taher Safarrad,
Volume 0, Issue 0 (3-1921)
Abstract
| The role of regional and extra-regional forcings causes changes in the Siberian high-pressure cyclonic circulation every year. In this regard, an attempt was made to investigate the variability of the intensity of the Siberian high pressure in relation to the abnormal winter circulation of the atmosphere. For this purpose, gridded data of sea level pressure, geopotential height, orbital and meridional wind components of Center for Environmental Prediction/Atmospheric Sciences (NCEP/NCAR) between the years until 2020 (December to February) were used. After applying the Siberian high pressure intensity index, the extreme periods of this high pressure in winter were extracted. Next, the development of this system and the systems affecting the Siberian high pressure were investigated using the quantity of relative Vorticity advection. The results showed that during the winter period, the high pressure center of Siberia has undergone changes and has taken on a growing trend between 4 and 6 hectopascals. On the other hand, it was observed that the role of atmospheric systems such as dynamic ridges on the Siberian region along with advection The negative relative humidity, the location of the Siberian region in the east of the ridge, and the formation of omega bands play an important role in strengthening this system, which has caused this high pressure to develop from east to west or north to south. On the other hand, the role of the polar vortex in the cold advections of the region and the displacement towards the equator has caused the Siberian high pressure to sometimes increase by more than 11 hectopascals compared to its long-term average. Finally, it was observed that the atmospheric circulation in mid-latitudes plays a transitional role in the high pressure changes in Siberia and the polar and subpolar currents. |
Dr. Mostafa Kabolizadeh, Dr. Sajad Zareie, Mr. Mohammad Foroughi Rad,
Volume 0, Issue 0 (3-1921)
Abstract
| There are various indicators to monitor and management of agricultural water resources in arid and semi-arid countries including Iran, some of which can be extracted directly in situ, and some can be retrieved using remote sensing technology and satellite images. Aim of this study is to propose the most appropriate and efficient indicators of agricultural water resource management for achieving maximum production and maximum water efficiency using remote sensing technology, therefore, Crop Water Stress Index (CWSI) and Surface Energy Balance Algorithm (SEBAL) were used to estimate Evapotranspiration (ET). In the first step, ET rate was calculated using SEBAL algorithm for six Landsat 8 satellite images related to the wheat growth period. Then, zoning of this index was done in the range of zero to one, in four categories of very low, low, medium and high, which respectively indicate the lowest to the highest amount of ET. In next step, CWSI was calculated based on Idso equation, and its results show different changes both in cold season and in warm months. Comparison of ET and CWSI shows a significant relationship between these two indices in warm months, while in cold months, no significant relationship can be seen. These findings along with the established relationship between ET and CWSI can inform water management strategies in arid environments for sustainable crop production. |
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Professor Keramat Ollah Ziari, Mr Amin Mahmoudiazar, Mr Khalil Jangjoo, Leila Aslani,
Volume 0, Issue 0 (3-1921)
Abstract
One of the issues raised in the developing countries of the world is the issue of reducing damages caused by natural and man-made hazards. Various theories and paradigms such as crisis management and resilience have been proposed to reduce the level of risk vulnerability. Among the mentioned vulnerabilities is physical vulnerability. Now, the most important question that is raised in this research is whether according to the various studies that have been done in the field of physical vulnerability, apart from objective measures, the level of satisfaction of the residents has also been examined and whether it exists. Is there a relationship between objective and subjective indicators in this field? The case study studied in this research is Region 4 of Urmia City, which has a problematic context. This research is of an applied type and its method is descriptive-analytical, to examine this objective and subjective relationship of physical vulnerability, first objective variables were examined using spatial analysis and then subjective variables were examined using a Likert scale. questionnaire. And finally, this relationship has been measured using Pearson's correlation coefficient. The research results indicate that according to the correlation coefficient of 0.623 between subjective and objective variables; There is a significant relationship between the objective view (reality on the ground) and the subjective view (satisfaction of residents) in the field of urban physical vulnerability indicators.
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Dr. Roghayeh Jahdi,
Volume 0, Issue 0 (3-1921)
Abstract
Every year, wildfires burn large areas in the Hyrcanian forests, of northern Iran. This study aims to know the fire regime and assess fire risk in protected areas in Guilan province (256,488 hectar). Fire ignitions and frequency/frequency of burned areas from 1992 to 2022 were identified. Then fire behavior modeling was done to simulate burn probability and fire intensity (i.e. conditional flame length) using the FlamMap modeling system based on fire weather information, topography maps, local fuel models, and historical fire data. By combining maps of simulated burn probability and conditional flame length, a fire hazard map was prepared in the protected areas. According to the obtained results, 8% of the number of historical fires in the period occurred in the protected areas, although most of these fires have very small sizes and limited burned areas (including 0.1% of the burned areas in the province). Frequent fires (fire frequency more than 1) cover 60% of the protected areas, and 11% of these areas are highly likely to ignite. The changes in the burn probability and fire intensity reflect the diversity of fire activity in the protected areas, especially in the south-central parts, which catch the highest values of burn probability (more than 1) and conditional flame length (more than 3 meters). Finally, the fire hazard mapping showed that 77.7% and 4.8% of the protected areas are classified as very low and low fire hazards, respectively. On the other hand, 12.4% and 5.2% of these areas were placed in high and very high hazard classes, respectively. The quantitative results of this research provide scientific criteria for identifying high-priority areas in protected areas where management efforts can help reverse the increasing fire risk of protected forests.
Ms Atefeh Bosak, Dr Zahra Hejazizadeh, Dr Akbar Heydari Tashekaboud,
Volume 0, Issue 0 (3-1921)
Abstract
Air pollution has significant impacts on human health, environmental quality, and the sustainable development of cities. This study aimed to evaluate PM10 using meteorological data from the city of Ahvaz through statistical methods and artificial neural networks. Daily meteorological data and air quality control station data for 4485 days (from 2011 to 2023) were obtained from the National Meteorological Organization and the Khuzestan Department of Environment. Initially, the data were processed and refined, and their normality was assessed using the Kolmogorov-Smirnov test. Given the non-normality of the data, Spearman's and Kendall's Tau-b methods were employed to examine their correlations. The time series and statistical information of the data were obtained using Python programming language. Furthermore, to predict future PM10 levels, the Multilayer Perceptron (MLP) neural network method was utilized. The results of these analyses indicated a significant correlation between meteorological variables and PM10. The Spearman and Kendall Tau-b correlations showed that PM10 had a positive and significant correlation with wind speed (0.094 and 0.061) and temperature (0.284 and 0.187) at a 99% confidence level. Conversely, PM10 exhibited a negative and significant correlation with visibility (-0.408 and -0.300), wind direction (-0.048 and -0.034), precipitation (-0.159 and -0.125), and relative humidity (-0.259 and -0.173) at the 99% confidence level. For future PM10 predictions, the MLP neural network was used. The model was of the Sequential type with an input layer consisting of 6 neurons, three hidden layers of Dense type with 16, 32, and 64 neurons, and an output layer with a linear activation function. The mean squared error (MSE) for the training set was 0.0034, and for the validation data, it was 0.0012. For the test set, the obtained validation accuracy was mse_mlp=0.0048 and val_loss=0.0012. The results indicate a significant direct or inverse correlation between meteorological data and PM10. Additionally, the outcomes of the MLP neural network demonstrated that the network provided satisfactory performance and acceptable predictions for PM10 data in Ahvaz.
Dr Mohsen Ahadnejad Reveshty, Dr Hossein Tahmasbi Moghadam, Dr Ameneh Alibakhshi,
Volume 0, Issue 0 (3-1921)
Abstract
Land use planning is one of the essential aspects of sustainable urban development, aiming to balance land use in urban areas. This study seeks to identify the factors influencing the realizability of service land uses in Zanjan city through a futures studies approach. Data collection employed a combination of library and field methods. In the field phase, the Delphi method was used, engaging 35 experts in urban planning, urban management, and housing, who assessed key factors across two rounds of questionnaires.
A total of 36 factors were identified across five dimensions: legal, economic, socio-cultural, physical-spatial, and managerial. The data were analyzed using MICMAC software. The results indicated that "urban land use laws and regulations" and "service location and spatial distribution" scored the highest direct influence values (85 and 82, respectively), playing the most significant roles in realizing service land uses. Key barriers identified include weak institutional coordination, inappropriate physical development policies, and lack of effective citizen participation. Cross-impact matrix analysis revealed a 55.32% fill rate, indicating a system of interdependent and mutually influential factors that contribute to the instability of service land use realizability. The study proposed solutions to improve the current situation, including: Revising urban laws and regulations, Strengthening institutional coordination among relevant bodies, Utilizing modern technologies such as GIS for proper service location planning, and Enhancing citizen participation culture in urban planning. The findings not only identified key influential factors but also emphasized the importance of considering multidimensional and sustainable aspects in service land use planning. This research provides a foundation for sustainable development and spatial justice in Zanjan city.
Mr Hossein Amraei, Ph. D Hossein Rabiee, Mr Esmaeil Dehghan, Ph. D Zakeyeh Aftabi,
Volume 0, Issue 0 (3-1921)
Abstract
Qarabagh region and consequently Zangzor Corridor is of special importance for Iran due to its geopolitical and geoeconomic capabilities. This practical article is devoted to the explanation of the future scenarios for Iran caused by the Zangzor Corridor. The methodology governing the research is descriptive and analytical. The required data has been collected by library and field methods and analyzed using Micmac and Scenario Wizard software. The results of the research showed six variables: Israel's presence in the Karabakh region, the location of the Karabakh region in the orbit of the US and the West, Iran's gas export, especially to Turkey, Iran's territorial integrity (especially the Turkic provinces), Iran's transit role in international transportation, and Iran's geopolitical position. They were chosen as the key influencing variables of Zangzor Corridor on Iran. In this regard; The possible situations related to six scenarios with strong compatibility showed: the situations that describe the scenarios facing Iran as critical due to the impact of the Zangzor Corridor, include the most possible possible situations. On this basis, the scenario of geopolitical collapse was formulated and it was concluded that the future of Iran's security in the Caucasus depends on its ability to create an effective strategy for managing challenges and exploiting opportunities. Only by strengthening regional cooperation and adopting prudent policies, Iran can take steps to protect its national interests and ensure stable security in this region
Mehdi Feyzolahpour, Neda Kanani,
Volume 0, Issue 0 (3-1921)
Abstract
“Desertification is a form of land degradation in arid, semi-arid, and semi-humid regions caused by climate change and human activities. The purpose of this research is to investigate the desertification situation in the Sirjan Plain region in the period from 1990 to 2023. Desertification in this area threatens human settlements. The purpose of this research is to combine several indicators to evaluate the state of desertification, and for this purpose, several spectral indicators are combined with each other to select the best indicator. In this research, based on albedo, MSAVI and SFI indices, desertification monitoring index (DMI) was proposed and the spatial and temporal distribution of desertification in the west of Sirjan was estimated in 1990 and 2023. To classify the results obtained from the DMI index, Jenks classification methods and quantitative index were used. Based on the results of the Jenks index, it was observed that the areas with very low desertification in 1990 were about 59.7 square kilometers, which decreased to 127.5 square kilometers in 2023, and 47.68 percent of the area has desertification. It has been very little. Areas with high desertification have faced a significant change and have reached 118.6 square kilometers in 2023 from 465.7 square kilometers in 1990. The results showed that Jenks classification method has a higher ability than the quantitative index with an overall accuracy of 82% and a Kappa coefficient of 0.86 in 1990. Finally, it was observed that the albedo index had the highest positive correlation compared to the DMI index. So that the correlation between these two indicators in 1990 and 2023 was estimated at 0.71 and 0.82, respectively.
Dr Sadegh Allahyari,
Volume 0, Issue 0 (3-1921)
Abstract
A healthy city is a city where the quality of life of citizens is high in all areas, including physical and mental health, social welfare, economic development, and environmental protection. This study evaluates the indicators of a healthy city in Shush Daniel using the Healthy City Index from the perspective of the United Nations' 2023 Agenda. The research is applied in purpose and quantitative in nature, conducted through a descriptive-analytical method. The statistical population included experts, planners, urban researchers, and specialists with comprehensive knowledge of Shush city, from which 30 individuals were purposefully selected to answer the questions. Binary logistic regression was employed to analyze the data and information. The results revealed that among the six main components, economic density and investment had the highest impact with an influence coefficient of 0.210, followed by health, welfare, and healthy citizens (0.203), creation of neighborhoods, infrastructure, and healthy housing (0.191), and a healthy environment (0.186). These factors had the most significant influence on creating a healthy and sustainable city in Shush. Out of 38 indicators, the 10 most important ones were identified, with the top three being physical and mental health of citizens (0.393), low levels of stress and anxiety in society (0.382), and provision of urban infrastructure and equipment (0.328). These indicators were found to be the most critical in establishing a healthy and sustainable city in Shush Daniel
Hamidreza Karimi, Shariar Khaledi, Reza Borna,
Volume 0, Issue 0 (3-1921)
Abstract
Goods and currency smuggling is a widespread issue in Iran, disrupting economic, political, and social planning. While not limited to border regions, these areas are particularly vulnerable due to their unique geographical conditions. This research focuses on the natural factors influencing smuggling in border areas, examining the roles of topography, vegetation, climate, and water resources.
The study aims to determine the extent and mechanisms by which each of these natural factors affects the control of goods and currency smuggling in the country's border regions. This is a fundamental-applied study using descriptive-analytical and quantitative methods. Data were collected through surveys of military and border guard personnel stationed in border regions and analyzed using Pearson correlation coefficient, regression analysis, and path analysis modeling.
The results indicate that topography, vegetation, and climate have the most significant impact on hindering the operations of military and border guard forces in combating smuggling. The Pearson correlation coefficient (0.620) demonstrates a strong relationship between natural geography and the military geography of anti-smuggling efforts. In regression analysis, the "climate" variable shows the highest impact with a beta coefficient of 0.350, while "water resources" has the lowest impact with a beta coefficient of 0.124. Furthermore, the path analysis model shows that vegetation, topography, and water resources, influenced by climatic conditions, affect the quality of anti-smuggling efforts in the country's border regions, thereby creating challenges for military and border guard forces in controlling, monitoring, and combating smuggling.
Mousa Kamanroudi-Kojouri, Azad Rahimzadeh, Farideh Fallah-Hosseini,
Volume 0, Issue 0 (3-1921)
Abstract
A creative city is a vibrant place that fosters cultural and intercultural learning, where every resident feels confident in their knowledge, skills, and cultural awareness. A creative city emphasizes characteristics that make the city more appealing to its residents. The objective of this research is a comparative assessment of Tehran’s metropolitan districts based on creative city indicators. This study is descriptive-analytical in terms of methodology and applied in terms of purpose. Data collection was conducted using a documentary-library method across four dimensions: quality of life, human capital, social capital, and innovation. The WASPAS decision-making model was used for ranking the districts, and the entropy model was applied to weight the indicators. The innovation of this research lies in its use of a comparative approach and a new model for identifying and evaluating creative city indicators at the urban district scale (Tehran metropolis).The results from employing the WASPAS decision-making model reveal differences among the 22 districts of Tehran concerning creative city indicators. The ranking of districts in terms of being a creative city shows that seven districts (6, 1, 12, 3, 4, 2, and 7) have favorable conditions. Eight districts were found to have moderate conditions, while seven districts (19, 18, 16, 21, 17, 10, and 9)respectively, were in unfavorable conditions and prioritized for urban development planning. Moreover, the findings showed that the economic dimension of the creative city had the highest number of districts (17) in unfavorable conditions.
