جستجوی مقالات مرتبط با کلیدواژه « ahvaz » در نشریات گروه « جغرافیا »

Education, training, and upbringing are highly complex processes. As a result, multiple factors and elements are involved in its formation. The physical environment is one of the important elements in desirable education. By providing a suitable physical environment, students will engage in learning with better mental and emotional conditions and more tranquility.In this study, the bioclimatic conditions of Ahvaz city were evaluated using climate consultant software Based on the results of these indices, a total of 12 to 15percent of the training period hours were in comfortable bioclimatic conditions. In 45 to 50percent of the study hours, the climatic conditions were warm and undesirable for students, and in 30 to 35percent of the study hours, the air temperature was below the comfort threshold. Therefore, in more than 80to 85percent of the days when students are present at school, the temperature and climatic conditions are not conducive to their learning and comfort. In this 7 to 8month period, the number of hot and cold hours is approximately equal. However, since the undesirability of cold and discomfort conditions is less than that of hot undesirable conditions, and the cost of heating is lower than the cost of cooling, it is recommended to focus the study period on cool to cold months of autumn and winter. Based on the results of the bioclimatic consultant index, from 15 to 20days in the month of Mehr and from mid-Ardibehesht month, the thermal conditions exceed the tolerance threshold of students, and their health may be at risk. It is better to remove this period from the academic calendar. However, in other months of the study period, by considering appropriate strategies in the design and construction of schools, the climatic undesirability of this period can be addressed.

Climate change affects all sectors of the economy to some extent, but the agricultural sector may be the most sensitive and vulnerable. This phenomenon can lead to increased migration and heightened conflict risks. Today migration is a challenge for all developing countries. Climate migration and the occurrence of consecutive droughts in the Khuzestan province and the city of Ahvaz are also caused by rising temperatures and lack of precipitation, among other factors The aim of this research is to assess the capabilities for reducing migration in the city of Ahvaz and develop a migration strategy. In this study the SWOT model was used and questionnaires were adjusted based on the Likert spectrum and completed and analyzed with the opinions of experts. Initially in the first stage, internal factors, namely strengths and weaknesses, were identified, and in the next stage, external factors, namely opportunities and threats, were identified and weighted. Among the external factors, threats with a weight of )0.460)and among the internal factors, weaknesses with a weight of )0.440) had the highest weights assigned to them. The results showed that the strategic migration strategy for the city of Ahvaz is close to a minimum-minimum or defensive strategy. The main message of this article emphasizes the use of defensive and reduction strategies.This means that in this area weaknesses should be reduced and threats should be avoided. These weaknesses and threats are the basis for migration and hinder the sustainable development of Ahvaz.
 

The issue of poverty is not only one of the most important issues in the world but also one of the most important internal issues and problems of all societies, both rich and poor. In such a situation, the direction of the physical development of the city (its shape) is somehow affected by the phenomenon of urban poverty. Meanwhile, having a comprehensive study on the effects of poverty on urban morphology seems necessary. For this purpose, the current study was compiled to investigate and measure the impact of poverty on urban morphology in the Ahvaz metropolis. This research is applied-theoretical in terms of purpose and descriptive-analytical in terms of nature and method. In the current research, considering the nature of the hypotheses and the type of variables, the methods available in descriptive statistics such as absolute frequency distribution tables and mean, were used to examine and compare the information collected through the questionnaire, and in the inferential statistics section, the structural equation method (SEM) was used. Finally, SPSS and EQS software were used to analyze and apply these tests. The findings of this study show that the most influential and meaningful research indicators are related to the dimensions of legal problems with a mean of (3.74), geographical isolation and the number of involved decision-making institutions with a mean of (3.62). Each of them has had the greatest impact on the variable under study. In the next stage, economic activities with (3.04) and employment with (3.07), have had the least impact on the studied variable. The results of the structural equations indicate that there is a significant relationship between the components of urban poverty and the components of the physical-spatial structure of urban morphology; Therefore, carrying out the necessary measures, requires serious attention and a quick and logical plan of managers and urban and regional planners.

A significant part of the population of all countries of the world includes physically-motor disabled people. Paying attention to the issue of the disabled and the necessity of culture building and respect for human dignity in this field, this group of people in the society, like other people, need to meet their needs in the urban environment. This research was conducted with the aim of evaluating the obstacles and limitations of the presence of physically-motor disabled people in the urban spaces of Ahvaz. According to the nature of the subject and the goals for which it is planned, it is descriptive and analytical type and belongs to applied research. Research method, library method, field method, statistical population of 53946 disabled people; In order to select the sample size, Cochran's formula was used, according to which the sample size was 380 people. In order to analyze the data, first through the spss software, the desired indicators will be used to test the hypotheses from the T test, for the final evaluation of the model (DEMATEL). The findings obtained from the DEMATEL technique showed that among the indicators, the permeability and accessibility index have the most interaction, and the buildings index has the least interaction, and the permeability and accessibility index are the most influential factors, and the urban furniture index is the most influential factor. Conclusion that by using T test in the first hypothesis the average of all indicators was equal to 3/93 and in the second hypothesis the average was 4/13.

Main goal of this research is to measure the success rate of in-service training courses in improving the professional skills of the employees of the agricultural jihad of Ahvaz city. The research method is t-test and F-test, regression and correlation. The statistical population investigated in this research is made up of all the employees working in the Agricultural Jihad Organization of Ahvaz city in 2017, according to the inquiry made by the Agricultural Jihad Organization, there are 750 of them, of which 230 people are using Morgan's table. The title of the sample was selected. A standard questionnaire was used to collect the data required for the research. The collected data were analyzed using SPSS statistical software. The results showed that there is no statistically significant difference between the success rate of in-service training courses according to gender and education level. Also, regression test was used to identify the effective factors on the success rate of in-service training courses. The results of the research showed that the effectiveness component of in-service training was significant at the 99% confidence level and the component of the increase in knowledge and skills acquired by employees was significant at the 95% confidence level. are Also, there is no significant relationship between the personal characteristics of the respondents (level of education and service experience) with the success rate of in-service training courses.

In the 21st century, global efforts to mitigate environmental pollutants have focused on fostering a low-carbon economy and advancing energy sources that minimize greenhouse gas emissions and energy consumption. However, numerous challenges persist. Therefore, this research aimed to investigate and analyze the obstacles to sustainable development in the city of Ahvaz within an environmentally non-operating context. This study was applied in its purpose and survey-oriented while being descriptive-analytical in its methodology. Data were gathered through document analysis, library research, and fieldwork (questionnaires and interviews). The statistical population of the study comprised experts in the field of energy in Ahvaz with a sampling method based on stratification. The analysis employed quantitative methods, utilizing the ARAS and VIKOR techniques. The findings revealed that the challenges in developing geothermal, biomass, water, wind, and solar energy were primarily environmental in nature. The VIKOR technique results indicated that solar energy ranked highest in terms of ineffectiveness in addressing energy challenges in Ahvaz with a score of 1 followed by wind energy at 0.758 and water energy at 0.2220. Geothermal energy and biomass ranked lowest, respectively. Furthermore, the integration results demonstrated a varying degree of interdependence between non-factor indicators and energy development challenges contingent upon the type of renewable energy.

Considering the reduction of fossil fuels and the increase of carbon dioxide caused by these fuels, the transition to renewable and low-carbon energies is inevitable. In this regard, the high capacity of Ahvaz city in the direction of the development of various types of renewable energy can be achieved, which not only reduces energy consumption and costs, but also leads to a cleaner and more stable environment. Therefore, the purpose of this article is to write a scenario for the development of renewable energies in Ahvaz metropolis. The current research is applied in terms of purpose and in terms of method, survey and descriptive-analytical. The necessary information was collected in the form of documents, library and field (questionnaire and interview). The statistical community of the current research is made up of experts in the fields of city and energy. The sampling method in this research is stratified sampling proportional to the volume. Also, the method of analysis was quantitative, which used scenario writing wizard. The results show that the total score of compatible scenarios or in other words the impact of all scenarios is 126, the results of which show the importance of the scenarios of solar energy development for energy supply, development of solar energy within industries, development of solar panels at the level of offices and organizations. The development of solar panels in residential areas is the most compatible and the scenario of continuing the use of fossil fuels for energy production and the development and establishment of nuclear power plants in the region are the least compatible for the development in the city of Ahvaz.

Right to the city is one of the most important citizenship rights that can be reduced for women under different circumstances. In this mixed research, with in-depth and semi-structured interviews, a conceptual model has been presented to explain the causal, contextual and interventional conditions effectively reducing women's right to the city. Then, with the structural equation modeling, the causal conditions affecting the right to the city have been investigated. Family, ethnicity, and physical and mental conditions were the most important background conditions that 32 women living in Ahvaz pointed to in order to influence the right to the city. Also, the participants considered politics and government institutions, law, and spatial policies as the most important intervention in the women's right to the city. City security, favorable actions with the city space, space-positive gender performance, and social welfare were among the most important causal conditions that the participants mentioned in increasing women's right to the city. Causal modeling showed that the most influential reason for reducing women's right to the city of Ahvaz is urban space security, followed by urban policies and designs. By multiplying the causal path, it is 0.84, followed by urban planning and design with a coefficient of 0.79. Governmental and executive institutions should pay more attention to women's right to the city through the establishment of better laws, the design of suitable spaces with individual differences, especially gender, and, of course, with an emphasis on women. The creation of safer places in the city for women while increasing the livability of the city for citizens improves women's rights in urban spaces

Rapid, irregular, and scattered urban development is the source of many urban problems. Understanding these issues demands a deep understanding of the distribution of the urban spatial structure. The urban mass is the occupied part of the city, whose accurate knowledge, helps the optimal urban management and can be a guidance light for the use of urban spaces in the future. For this purpose and with the aim of accurate and quick identification of the Ahvaz urban mass as the study area, the images taken by the NPP-VIIRS sensor at night are assumed as the base of this research. Moreover, the other factors such as improved vegetation, auxiliary points containing field information, earth surface temperature and geometric mean of the image, are used to prepare three indices HSI, HSI-POI (HP) and HSI-POI-LST (HPL) used in ENVI and ArcGIS software. Then, a support vector machine was used to identify the type of land in the built area using 1000 points. Next, the threshold limit corresponding to the highest overall accuracy and the kappa coefficient of each index were calculated. The general results showed that compared to other indices, HPL shows natural and social characteristics, and the output of this method provides higher spatial accuracy, more spatial details of the built-up area, and also more choices for evaluating small-scale urban areas. Also, The highest and lowest net area of the urban mass belongs to regions 3 and 1, which includes more than 56 and 34 percent of the area of each of these regions.

Collecting, managing and analyzing the required data is a basic precondition in the field of macro and integrated urban management. Today, this operation is feasible in the form of SDI, the evaluation and identification of its implementation platforms is one of its key issues. The purpose of this study is to identify the limiting factors for the creation and establishment of urban spatial information infrastructure in Ahvaz, based on the basic fuzzy model of the readiness index. The research data was collected in a survey and then analyzed in a spatial information infrastructure readiness model. Therefore, Ahwaz urban spatial information infrastructure has been evaluated in five organizational factors, human resources, information, technology and finance, and in the form of 16 decision criteria. In the first step of the research, the required data were extracted from questionnaires completed by experts and specialists familiar with SDI and GIS, from government centers and the private sector in Ahvaz. In the next step and after data collection, the values of general indicators and five factors were calculated based on the model used in the research. The general findings of the study showed that the readiness index of Ahwaz urban spatial information infrastructure is equal to 0.47. Evaluation of the studied factors of the model showed that the organizational factor is the most important limiting factor in the development of SDI infrastructure in Ahvaz and among the criteria, the highest and lowest scores have access to location-based software and individual leadership, respectively. In total, according to the results of this study, 44% of the 16 decision-making criteria (including 7 criteria) were below the average (50%), which acted as the main limiting factor in the development of Ahwaz urban location information infrastructure. Also, based on the results of this study, it seems that in the development of urban SDI in Ahvaz, non-technical factors can be more effective as a limiting factor than technical issues.

Beng today, human bioclimatic studies are the basis of urban planning, housing, architecture and more.In all of these studies, attention is paid to the interiors and its influence on the climate of the area in question, so tat the climate in turn influences the design of the building. The research metod in this study is based on Evanz modeling and using data Fifty Years (1966-2010) is the Ahvaz Synoptic Weather Station.And human comfort or lack of comfort in this climate was investigated based on the above modeling. The results show that the city of Ahnaz enjoys very hot to cool conditions throughout the year. It is out of the climate comfort zone during the winter and summer reasons and with the onset of spring and autumn seasons in the transition from cold to heat (April) and heat to cold (November) the climate of Ahvaz is approaching human conditions. Summary, it results that approximately9months of the year during the night without the use of mechanical devices and merely considering the materials appropriate to the climate and olso consider how elements in the city of Ahvaz are comfortable condition.Beng today, human bioclimatic studies are the basis of urban planning, housing, architecture and more.In all of these studies, attention is paid to the interiors and its influence on the climate of the area in question, so tat the climate in turn influences the design of the building. The research metod in this study is based on Evanz modeling and using data Fifty Years (1966-2010) is the Ahvaz Synoptic Weather Station.And human comfort or lack of comfort in this climate was investigated based on the above modeling. The results show that the city of Ahnaz enjoys very hot to cool conditions throughout the year. It is out of the climate comfort zone during the winter and summer reasons and with the onset of spring and autumn seasons in the transition from cold to heat (April) and heat to cold (November) the climate of Ahvaz is approaching human conditions. Summary, it results that approximately9months of the year during the night without the use of mechanical devices and merely considering the materials appropriate to the climate and olso consider how elements in the city of Ahvaz are comfortable condition.Beng today, human bioclimatic studies are the basis of urban planning, housing, architecture and more.In all of these studies, attention is paid to the interiors and its influence on the climate of the area in question, so tat the climate in turn influences the design of the building. The research metod in this study is based on Evanz modeling and using data Fifty Years (1966-2010) is the Ahvaz Synoptic Weather Station.And human comfort or lack of comfort in this climate was investigated based on the above modeling. The results show that the city of Ahnaz enjoys very hot to cool conditions throughout the year. It is out of the climate comfort zone during the winter and summer reasons and with the onset of spring and autumn seasons in the transition from cold to heat (April) and heat to cold (November) the climate of Ahvaz is approaching human conditions. Summary, it results that approximately9months of the year during the night without the use of mechanical devices and merely considering the materials appropriate to the climate and olso consider how elements in the city of Ahvaz are comfortable condition.Beng today, human bioclimatic studies are the basis of urban planning, housing, architecture and more.In all of these studies, attention is paid to the interiors and its influence on the climate of the area in question, so tat the climate in turn influences the design of the building. The research metod in this study is based on Evanz modeling and using data Fifty Years (1966-2010) is the Ahvaz Synoptic Weather Station.And human comfort or lack of comfort in this climate was investigated based on the above modeling. The results show that the city of Ahnaz enjoys very hot to cool conditions throughout the year. It is out of the climate comfort zone during the winter and summer reasons and with the onset of spring and autumn seasons in the transition from cold to heat (April) and heat to cold (November) the climate of Ahvaz is approaching human conditions. Summary, it results that approximately9months of the year during the night without the use of mechanical devices and merely considering the materials appropriate to the climate and olso consider how elements in the city of Ahvaz are comfortable condition.

Today, the "smart growth" strategy has been proposed as a new and comprehensive pattern of urban planning in the world, in order to solve the problem of sprawl urban growth due to relentless urbanization. The metropolis of Ahvaz, which has always suffered from the consequences of such growth in recent years, can not be an exception to this pattern. Therefore, due to the importance of the subject, this study aimed to measure and rank the metropolitan regions of Ahvaz in terms of compliance with smart urban growth indicators. The type of research is applied with a descriptive-analytical method based on documentary studies and field observations. The statistical population of the study was Ahvaz metropolitan regions. As a result of documentary studies, 82 indicators were selected within the framework of 4 physical criteria - land use, socio-economic, access - transportation and environment and the data were extracted using available sources. The data were then analyzed using a combination of Shannon entropy weighting method and ELEKTRE technique. Based on the research results, there is a significant difference between Ahwaz metropolitan regions in terms of appropriateness to smart urban growth indicators; In this regard, District 5 of Ahvaz metropolis has poor conditions, so compared to other areas of the metropolis, it deserves more serious attention. Finally, based on the research findings, solutions were proposed.

Land surface temperature (LST) is one of the important parameters in the study of climate change and physical processes of the earth's surface. Rising land temperature causes the phenomenon of heat islands, which is caused by changes in land-use and land cover in urban areas and today has become a major environmental concern. Ahvaz metropolis, as the capital of Khuzestan province in southwestern Iran, has undergone many changes in land-use and land cover in recent years and has enjoyed significant population growth. In recent years, the pattern of unbalanced urban development in Ahvaz has led to the destruction of agricultural lands, vegetation and gardens around the city as one of the most important factors balancing the land surface temperature. This has led to an increase in land surface temperature and the formation of heat islands. The purpose of this study is to investigate land-use changes in Ahvaz and its effects on spatio-temporal patterns of land surface temperature and heat islands in the years 2002-2021.

First, the land-use changes were studied and then, in order to evaluate the relationship between the changes in each Land-use and the land surface temperature, the maximum temperature in each land-use was determined and then the amount of changes was investigated. Landsat 7 ETM+ (2002) and Landsat 8 OLI/TIRS (2013/2020) images downloaded from the USGS. Object-oriented method was used for classification. Educational samples were implemented on the image surface and their corresponding objects were selected as educational samples for each class. The classification was done by SVM algorithm and the user maps were classified into four classes including vegetation, barren areas, constructed areas and water areas. In this study, estimating the LST was performed base on separate window Algorithm and with Landsat 7 ETM+ band 6 and Landsat 8 OLI/TIRS band 11 data. In this Study, LST was estimated using Split-Window (SW) algorithm on Landsat-7 ETM+ and Landsat-8 OLI/TIRS Thermal Infrared (TIR) bands. Then the NDVI values, Vegetation Proportion and Radiated Power were obtained. Finally, The LST value was extracted based on degrees Celsius. In this study, Pearson correlation coefficient was used to investigate the relationship between LST and air temperature. RMSE values was used to compare the estimated temperature by SW algorithm and the measured temperature by Field research. Also, two indices UHII and UHIII were used to calculate the intensity of heat islands. These indices evaluate the LST using the values of vegetation in one area.

According to the results of this study, Kappa coefficients and overall accuracy were 74% and 76% for year 2002 map, 78% and 85% for year 2013 map and 88% and 93% for year 2020 map, respectively. The area of built-up and barren areas has increased and the area of vegetation and water areas has decreased. The rate of increase in land-use of the constructed areas from 2002 to 2020 was about 579.69 hectares and the decrease in vegetation cover was 3200.15 hectares. The barren areas have increased by 2521.66 hectares from 2002 to 2020. Pearson correlation coefficient between air temperature and LST values of 0.65% is obtained, which shows a positive correlation. The RMSe values in comparison with LST and measured temperature by Field research for the images of 2002, 2013 and 2020 was 1.79, 1.66 and 0.98 degrees, respectively. According to the results, the LST values in year 2002 fluctuated about 24.48-42.55, in year 2013 about 26.32-44.47 and in year 2020 about 28.13-46.65 degrees Celsius. The results of LST show an increasing trend of temperature during the period 2020-2020. After estimating the LST, the maximum temperature of each user was determined, which showed the increasing trend of temperature in all applications. The decreasing trend of vegetation has a direct effect on increasing LST in this land-use. The temperature of this land-use has increased by 6.32 degrees in 2002-2020. Over a period of 18 years, the LST in built-up areas and barren areas has increased by 4.10 and 5.26 degrees, respectively. In order to study the spatio-temporal patterns of LST and heat islands, first with NDVI index, vegetation status in each year was divided into three classes of low, medium and high vegetation and then LST values in each category were determined. According to the results, the highest temperature occurred in the floor with low vegetation. The correlation between the two variables LST and NDVI was significant and regression between them showed an inverse correlation that indicated a negative relationship between LST and vegetation. Therefore, vegetation plays an important role in reducing the intensity of the heat island. UHIII index values in the low vegetation class from 0.63 to 0.67, in the medium vegetation class from 0.57 to 0.61 and in the high vegetation class from 0.51 to 0.54 it is arrived. The highest intensity of heat islands in 2002, 2013 and 2020 were in the southern, eastern and northwestern parts of the city, respectively.

According to the research results, land-use changes in the study period have caused an increase in land surface temperature. The highest temperatures have occurred in built-up areas and barren areas; this is due to the increase in the area of built-up and barren areas. Decreased vegetation has a direct effect on increasing LST in this land-use. The NDVI, UHII, UHIII indices and LST values were used to study the spatio-temporal patterns of land surface temperature and heat islands. The results indicate high temperatures in the vegetation with low vegetation. Due to the correlation of NDVI values with land surface temperature and the intensity of heat islands, the necessity and importance of vegetation protection as a very important variable to regulate the air temperature in the city is essential.

 Slums as an output of spatial imbalances originating from the injustice of space is one of the most important foundations threatening security and development in individual and collective scales. Ahvaz ranks first in the country in terms of the area of ​​ Slums areas with ten districts, and in terms of the marginal population with 450 thousand people, it is one of the densest marginal areas in the country. The impact of the Slums areas can be investigated and analyzed from various aspects, one of the most important aspects of these studies is the spatial analysis of crimes in the Slums areas of the city and the identification of crime-prone areas for the prevention of crimes in the city. Space of Ahvaz city has two important features. The first is the extent and the second is the presence of marginal areas. The marginal neighborhoods of Ahvaz city include Shalang Abad, Siyahi, Ain Do, Al Safi, Hasir Abad, Zargan, Zargan, Zoway, Cheniba, and Malashieh. In this article, focusing on crimes such as armed robbery, extortion, brawl, shooting, and murder, the marginal neighborhoods have been examined and ranked in terms of the five crimes index.

This article will be organized using the descriptive-analytical method and the use of theoretical and field studies of research findings. In order to analyze the theoretical aspects of the research, library data, documents, electronic references, etc. have been used. Analytical Hierarchy Process (AHP) has been used to determine the weight of crimes and the Vicor technique in Excel in order to rank areas in terms of the occurrence of five types of crimes.

The findings show that the ranking of the marginal neighborhoods in terms of five types of crimes, from the highest to the lowest amount, respectively, including Al-Safi, Hasir Abad, and the source of water, Shelang Abad, Siyahi and Ain Do, Malashieh, Cheniba, and Zargan. And it is Zoya. Insecurity caused by urban marginalization can be categorized into three scales: 1- local scale; which include: the suburbs of the city. In general, insecurity in the city can be seen and investigated in the following two ways: A: Crimes in urban life such as armed robbery, extortion, shooting, etc. B: Violent acts that are usually collective. Such as: conflict and quarrel 2- Regional or metropolitan scale of Ahvaz city: the marginal areas of Ahvaz city provide a suitable platform for the residence of criminals and criminals due to the possibility of reduced police security surveillance. In this scale, insecurity and crime gradually penetrate from the marginal neighborhoods to other neighborhoods in Ahvaz. And the security of Ahvaz metropolis faces a crisis. 3- Regional scale or Khuzestan province: After the spread of insecurity and crime at the local and regional level, there is a possibility of reflecting the absence or reduction of insecurity from Ahvaz metropolis to the scale of Khuzestan province. This level of insecurity goes beyond crime-prone urban areas. Decreasing the security of Ahvaz city as its political centrality for Khuzestan province has economic, political, cultural, social, etc. dimensions on this scale is important for Khuzestan province. Therefore, in the line of research, the Analytical Hierarchy Process (AHP) has been used to determine the weight of crimes and Vicor technique in Excel in order to rank areas in terms of the occurrence of five types of crimes. So that the marginal neighborhoods are ranked in terms of five crimes and the neighborhoods that have more crime potential than other areas are identified.

One of the most important issues arising from the governance of the marginalization conditions in the country's metropolises. At present, Ahvaz, due to the centrality of the province and the presence of higher education centers, specialized medical services, power plants, and industrial and commercial centers, has welcomed immigrants from the cities and settlements of Khuzestan province and other provinces. The situation of the marginal neighborhoods of Ahvaz is in an unfavorable situation in terms of human development and physical space. And it affects the increase of urban crimes. This important point is the need to pay attention to spatial justice at the local and regional levels of Ahvaz city space for the relative equality of human development indicators and physical space. Through the spatial analysis of crimes in the marginal neighborhoods of Ahvaz metropolis, it is possible to identify the neighborhoods that are in an unfavorable situation in terms of related crimes in order to prevent crime.

The spatial structure of the city has an important effect on economic efficiency and the quality of the urban environment. Inefficient spatial structure, by unnecessarily increasing the distance between people and their place of activity increase the length of the city's infrastructure network maximizes operating costs and intra-city travel. Analysis of the spatial structure of the city is important for a better understanding of urban development and provides the information needed to evaluate the effectiveness of planning plans for general managers and urban planners. The purpose of this research is to analyze the spatial structure of Ahvaz city and identify functional cores. The present research is applied in terms of purpose and in terms of descriptive-analytical method. The method of data collection is library and documentary. The data include statistical blocks of 2016 and land use layer of Ahvaz city. Kernel density, spatial autocorrelation test, and central mean were used to identify functional cores. . Hot Spot Analysis and spatial autocorrelation test were used to analyze population distribution and employment. Pearson correlation was used in SPSS software to investigate the relationship between functional cores and population and employment and geographic weight regression was used to model the spatial relationship. The research results show that the distribution of population and employment is clustered. In the central and marginal areas, population density and employment are low, and in the middle areas, the density is high. In terms of the proportion of attractive tourist uses in region one (Bagh Moin, Ci metri, Abdolmajid Bazaar, Sheikh Bagh, Saebin Mandai neighborhoods) have the highest concentration and are the main core of the city and Lashkarabad, Kemplo Jenobi and Zetoon karmandi neighborhoods are sub-cores. Also, the spatial correlation between functional core and population density is relatively low.

The purpose of this study was to investigate the factors affecting urban sprawl and its impact on livelihoods in Ahwaz metropolis. This research is applied-theoretical in terms of purpose and descriptive-analytical in terms of method. The trend of land use changes showed that the amount of built-up area increased, and the area of ​​green and agricultural land uses and so on decreased. The results of Delphi method shows that economic, political-managerial, technological, social-cultural and natural- environmental factors have the most effect on the dispersal of Ahvaz city, respectively. Also, the results of the evaluation of the spillover effects on the biodiversity indices showed that spillover of the urban spill on the increase of the cost of public utilities and consequently the reduction of the quality of services, the weakness of urban service quality monitoring, environmental problems, security decline, public utilities, identity degradation and fragmentation. The landscape has been impressive. According to the results, zones 2 and 3 are very poor in terms of monitoring the quality of urban services and other areas of Ahvaz are in a very poor condition. Zones 2 and 3 of Ahvaz have been in moderate environmental condition, Zones 1 and 4 are low and other zones are very low in terms of livability. In terms of the scattered impact of urban overcrowding on reducing security to four levels of very low viability (areas 5, 6 and 7), low viability (areas 4 and 8), moderate viability (area 1) and high viability (areas 2 and 3) are divided. According to general urban uses, Ahvaz is divided into two categories of low and very low biodiversity, and areas 1, 2 and 3 are better than other areas. In terms of weakening urban identity and landscape, zones 2 and 3 are in the middle range of biodiversity, zone 1 is in the low range of biodiversity and other areas are in the low range of life.In the present study, for the first time, the factors affecting dispersal of the city and its impact on biodiversity are investigated.

Due to the many problems caused by urban growth on the one hand; And the dominance of the paradigm of improving the quality of life, as well as the remarkable advances in information and communication technology and its remarkable capabilities, smart cities today are considered as an effective strategy to solve the problems and challenges of rapid urbanization.The city of Ahvaz has also experienced rapid urbanization in recent years; It faces many problems. But the problem is, this metropolis is not smart now, and it is just the beginning; So the question is what is the situation of the components of the realization of the smart city in the current situation of Ahvaz? Therefore, this study seeks to assess the status of key components of smart city realization and ranking of these components in the metropolis of Ahvaz. This article is considered among applied-developmental researches. It is question-oriented and has been done in a document-library and survey form;, which has been used in assessing the status of components, executive experts working in institutions and organizations in Ahvaz involved in the process of smartening the city. The data collection tool is a researcher-made electronic questionnaire based on a five-point Likert scale; In order to analyze the data, statistical tests of mean, one-sample t-test and Friedman ranking were used using SPSS software. The statistical sample of this study is 380 samples that were selected by snowball sampling and supervised network. Based on the research findings, the situation of the key components of the realization of a smart city in the metropolis of Ahvaz, with the exception of smart people, was assessed as unfavorable. At the same time, the smart environment and then smart governance are in the lowest state

Climate change is the greatest threat to humanity, because it is the main factor in increasing the frequency and severity of atmospheric events such as droughts, floods, heat waves, etc. that are experienced today. Climate change can cause a wide range of environmental problems, including severe drought and water scarcity, crop loss, and increased socioeconomic consequences. One way to identify climate change is to evaluate climate and temperature indicators. Based on statistical tests and time series of occurrence of these parameters in the long run, the status of change and its trend can be identified. Given the importance of the impact of climate change on all sectors, the study of the consequences of these changes requires the study of all sectors and effective factors with a systemic approach. One of the concerns of human society is the changes that have caused climate change due to global warming. In this regard, given the importance of climate change on all sectors, the study of the consequences of these changes requires the study of all sectors and factors with a systemic approach. Considering the importance of climate change and its effects, this study seeks to answer the following questions by considering important climatic parameters and vulnerable urban dimensions (economic, social, political, environmental):1- The trend of climate change changes (Temperature and rainfall, humidity, wind speed) what is it like in Ahvaz?2- What is the causal relationship between the causes of climate change and vulnerable sectors in the city of Ahvaz? 3- What are the effects and consequences of climate change on the city of Ahvaz?

The research methodology is based on statistical tests and qualitative modeling with a systemic approach. The present study analyzes the trend of changes in climatic parameters including temperature, precipitation, relative humidity, and wind speed for a period of 30 years (1991-2020) in Ahvaz using the statistical Mann-Kendall Test was examined. Then, using the science of system dynamics, the causal relationships between variables and structural modeling of the consequences of climate change in Vensim software are investigated. The main stage of using the system dynamics approach is to try to understand and identify the feedback loops of the system under study, for which purpose diagrams of causal loops are drawn. In this study, inputs are the factors that shape climate change are factors that affect the city system. System outputs will be the consequences of climate change.

Based on the results of the analysis of the trend of climatic parameters, the city of Ahvaz in the study period has faced an increase in temperature, increase in relative humidity, decrease in wind speed, and decrease in rainfall. During the 30-year trend (1991-2020), the average rainfall has been (226) mm, each year (1.32) mm, has decreased and followed a downward trend. The average temperature has been (25.38) degrees Celsius, it has increased every year (by 0.051) degrees, which shows an increasing trend over 30 years. Based on the results, the average relative humidity was (41.1), which increased every year (0.007). Also, according to the results, the average wind speed is (2.65 m/s) and has decreased by about (0.018) every year. Therefore, the wind speed shows a decreasing trend over 30 years. Given that climate change refers to the spatial-temporal changes in the long-term average of climatic elements, the results of this study clearly showed that climatic parameters (temperature, relative humidity, precipitation, wind speed) in the study area have undergone fundamental changes. The consequences of climate change on all economic, social, political, and environmental aspects were evaluated. The results of qualitative modeling and causal relationship showed that climate change in Ahwaz has a direct impact on different sectors of water resources, agricultural production, and energy consumption. Variables of (reduction of water reserves upstream, extreme heat waves) are the most important leverage points of the model. Different outcomes have complex interactions with each other in such a way that they affect different economic, social, environmental, and political dimensions and ultimately intensify each other's effects on reducing the quality of life and increasing climate migration.

As a result, climate change has consequences such as increasing unemployment, reducing the quality of life, reducing urban resilience, and ultimately increasing climate migration in the city of Ahvaz, and the urban environment is not equipped to adapt to climate change.

This study has attempted to assess the role of social capital in the realization of social resilience during the COVID-19 pandemic, in Ahvaz metropolitan area, Iran. Two major questions of the study are that what is the quality of the realization of social capital and social resilience indicators in Ahvaz during the pandemic? And, what can be explained the role (impact) of the social capital in the realizing of the social resilience in Ahvaz during the pandemic? Regarding this, with a "descriptive-analytical" methodological approach, this study has used a survey method by using a questionnaire tool to obtain its data. To this end, with an online method, we used the opinion of 667 citizens of Ahvaz from April to November 2021. The results revealed that, considering the results conducted by FTOPSIS model, quality of the realization of the indicator of social trust from the lens of social capital and the indicator of social infrastructure from the lens of social resilience is in unfavorable situation compared to other indicators in Ahvaz during the pandemic. Moreover, considering LISREL software output, social capital has a positive and significant impact on the realizing social resilience in Ahvaz during the pandemic.

Environmental sustainability assessment is one of the most important tools in the process of sustainable development planning and therefore attention to it in policy-making and planning is inevitable. The purpose of this paper is to evaluate the environmental sustainability in urban areas with the approach of the dust problem using multi-criteria decision-making technique of linear allocation and artificial neural network in Ahvaz metropolis. In this research, first, by studying the theoretical foundations of the research, the criteria that are effective for environmental sustainability were identified. Then, the documentary and library method and referring to different departments and organizations were used to collect information in the theoretical part. However, the main information of the research was collected using field studies (completing questionnaires, observations and field studies). The research process was such that a questionnaire was designed to implement the methodology through the criteria obtained from the study of the problem literature and distributed among the people in 8 regions by stratified random sampling method. The sample size of the total areas was determined based on the unlimited Cochran's formula in the form of population classes of the areas. Keywords: Environmental stability, particulate matter, linear allocation, artificial neural network, Ahvaz