In recent decades, dust storms have intensified due to climate changes, including drought and human interventions. In addition to removing soil particles, dust brings storms bring about severe economic, social, and health problems. Due to its strategic conditions – including its status as an industrial and agricultural hub and the province hosting more than 29 million Iranian and international pilgrims, especially during the seasons and months with specific holidays – should be prioritized in the examination of dust storm frequency. The purpose of this study was to examine and track the frequency of dust storms and analyze the effect of climactic changes on them through the investigation of drought trend as well as the trend of changes in the land surface coverage percentage during the statistical analysis period. The results of counting the dust codes showed that dust storms with local origin had the highest frequency. According to the monthly analysis, Sarakhs and Mashhad stations had the most dust phenomena, with the most dusty days in the study area during summer and spring seasons, especially June and July months. The results of regression analysis of drought index and the monthly local dusty days indicated the existence of a significant, positive relationship between dust increase and drought intensity in Mashhad and Sarakhs stations during the statistical period of 27 years at 99 percent confidence interval. Finally, in the light of the results obtained from the examination of the land surface changes, it is recommended that land use plans be used along with short-term methods of soil stabilization in order to reduce the economic damages and preserve people’s health against dust during busy months and seasons so as to achieve the goals of long-term methods.

Various spatial instances and outcomes can be shown for every social phenomenon in the urban arena, and this indicates the spatial behavior of social phenomena. The examination of suchlike phenomena from the viewpoint of correlation and synergy reveals the existence of an interactional pattern among them. In this article, it is tried to provide a brief description of the spatial distribution of variables related to social harms such as joblessness, addiction, etc., in the form of spatial statistical analysis. The research method is descriptive-analytical, and it can be categorized as an applied study. In terms of data collection method, the study adopted library research. In order to analyze the data, we used spatial statistics tests in ARC GIS. In the light of the spatial structure of the social class and the spatial pattern of the variance of the rich and poor areas of Tehran, it was found that poverty and dispersion are among the main stimuli of the concentration of various social harms in poor neighborhoods.

One of the environmental hazards and ecological crises that our world is facing now is the phenomenon of land use change. The timely and accurate detection of these changes and land features has an essential role in better understanding the relationships and interactions between human and natural phenomena in order to better manage and use natural resources using theoretical-analytical method. The present study examined and analyzed metrics related to a period of over 30 years. Sorkhabad Protected Area was selected as the target area. The TM-ETM_OLI image series of Landsat satellite in two periods were exploited to investigate the trend of changes using Envi software and the maximum probability classification method with 86% accuracy of information. Then, the available metrics in Fragstate software were used to process the data at three levels, namely patch, class, and landscape. Along with analyzing and evaluating these three levels, the changes in vegetation and animal distribution changes map – prepared by the Zanjan Environmental Research Center foresters in order to map the distribution of native animals of the province – was also examined. The results showed that the conversion of pasturelands into agricultural lands has caused the loss of soil and vegetation and has negatively affected the habitat and population of caracal and deer species that are dependent on these environments. Moreover, overgrazing and deforestation have reduced the growth of forestlands; this has led to the destruction of the habitat of leopard and brown bear, and these changes have also contributed to habitat destruction.

In the current era, justice and advancement are deemed as the two wings of sustainable development, with each being worthless without the other. As one of the main service systems in cities, public transportation has an important role in the realization of justice. As a result, the purpose of this article was to analyze and rank the 15 districts of Isfahan metropolis based on justice in accessing public transportation. In order to attain this goal, the required data was collected using document analysis and field study (through observation and questionnaire). The Best-Worst (BWM) and COCOSO methods were used to analyze the data. The results indicated that Districts 1 and 3 had the most and Districts 9, 11, and 14 the least public transportation facilities. Moreover, the need to public transportation – in terms of the number of users – was highest in Districts 8 and 10 and lowest in Districts 2, 9, and 11. The combination of these two factors also showed that Districts 1, 2, 3, and 15 had bigger facility to user ratios, while Districts 8, 10, 11, and 14 had smaller facility to user ratios. In the other districts, the facility to user ratio was mainly moderate. Therefore, it is necessary to pay more attention to this gap between facilities and users’ needs when planning for public transportation in future.

Understanding how to distribute economic, social, cultural and other opportunities as first step in spatial development planning can improve service delivery and increase equilibrium between regions. This research aimed at study and analysis of 31 provinces of Iran based on social indicatros enjoyment. Therefore, the present study is applied in terms of purpose and descriptive-analytical in terms of nature and method of research. Required data collected through the statistical yearbook of 1395 (2016) in the form of 52 important social indicators including social, cultural, welfare, educational and health components. Shannon entropy, coefficient of variation (C.V), WASPAS used to Wheightining of criterias, analysis of indicators dispersion and determining the level of development of provinces respectively in the context of MATLAB. The result shows that there is a lack of social development balance between Iran provinces. Tehran, Isfahan, Khorasan Razavi and Fars are four provinces that placed at higher level of social development and Alborz, Zanjan, Chaharmahal Bakhtiari, Semnan, South Khorasan, North Khorasan, Ilam and Kohgiluyeh and Boyer Ahmad are placed at the most deprived areas of the country in terms of social indicators. Overall, the results show that social development status in Iran's provinces is not synonymous with social and spatial justice and requires proper and effective attention and management.

The assessment of the ecological potential of the environment is to determine or predict the potential power and natural land use type. Environmental assessment is therefore a tool for strategic land use planning. The aim of this study was to evaluate the ecological potential of urban, rural and industrial land use in Kangavar city with an area of ​​883.9 km2 using Makhdoom ecological model. In the process of research, the required data were collected, produced and produced. After creating and combining the maps in the GIS software in a multi-hybrid way, the maps of environmental units were constructed and the ecological potential of the area was evaluated using the features of each environmental unit. To do this, the indices and variables that could be involved in each of these models were examined. To classify the ecological potential of the area for urban, rural and industrial uses and to map the power of different classes, 18 parameters were used as criteria for weighting and power determination. The results of Kangavar city's ecological assessment indicate that a 100.26 square kilometer area (11.34%) of Kangavar city is suitable for urban, rural and industrial use for 1st class. Also in the city, 483.1 square kilometers (54.64%) is quite suitable for 2nd floor. By comparing the existing and optimal land use map, it was determined that the area of ​​urban land use development in inappropriate zones is 2.5 square kilometers.

Evaluation of land capability is a way of knowledge of nature and preventing its destruction. The Logic scoring of preference method is one of the new approaches in land evaluation. This method consists of three main components: the attributes tree, the preliminary criteria and the aggregation structure. Criteria and sub-criteria of the conservation model, criteria weightings and standardization functions were determined by the resources reviewing, environmental attributes of the area and consulting with local experts. Then, the decision tree is formed, after that, the sub-criteria, criteria and attributes were weighted. Their replacement capability was determined. Replaceabilityorsimultaneitymeans identifying importance of criteria and sub-criteria in decision making. So, more or less effect of criteria was determined on the final decision by the ranges of positive and negative numbers. Aggregation of criteria and sub-criteria were done by Weighted Average Power Method. Conservation maps were prepared with two scenarios without_with the replaceability criteria. Scenario result of without replaceability shows the region's conservation value better than the replaceability scenario. The research results showed that rivers and aquatic ecosystems, scarce native plants and Mountains with high slope and shallow soil are sensitive to degradation. The proposed GIS-based LSP method is an enhanced MCE approach that represents an excellent tool for discussion and deliberation among stakeholders, decision makers, land-use planners and other experts.

The emergence of knowledge-based city-regions as the paradigm of the knowledge-based economy is one of the effective paradigms for the sustainable development of future cities. These regions aim to synthesis the functional, physical, and institutional components of knowledge clusters with urban activities to maximize beneficiary of the unique characteristics of each region. In regional development, the prerequisite for achieving goals in these regions is spatial-physical planning and how they spatially organized their activities and functions in the territorial area. The main question of this study is "to achieve sustainable development, what are the spatial-physical considerations in Iran special regions in general and Yazd in particular?" It identifies the most important actions (physical spatial, transport, housing and environment) of science and technology regions plans on global scale by the method of secondary analysis and based on the content analysis. comparison the results in Yazd Special region with others in Iran indicates the high emphasis on economic aspects, relative attention to environmental issues, and minimal attention to quality of spatial organization and the relationship between main functional focuses and the cities/regions, transport and housing. Considering the unique characteristics of each region, reviewing their function and defining their legal position in the hierarchy of planning system in Iran, explaining the goals and priorities of development in a comprehensive plan to stabilize these regions in the urban sustainable development is indispensable.

Compared to other cities, metropolises are exposed to the more vulnerabilities derived from environmental disasters because of their population, and the vulnerability of most of them is even increasing. The assessment of vulnerability, especially in specific intervals, generates new foundations for better urban planning and management. Additionally, the concept of the term “vulnerability” has been emphasized in the context of studying the relationship between natural-human interconnected systems, and consequently, in urban ecology. On the other side, population movements in different districts of big cities always follow different models. Therefore, the main purpose of this research is to identify the spatial connection of population changes of the districts of Tehran metropolis with the changes in environmental vulnerability intensity in the last decade. The methodology of the research included the assessment of vulnerability in three layers, namely the damages stemming from natural disasters, urban structure, and environment in the last decade in Tehran. In addition, the vulnerability has been measured in accordance with the census statistics of population changes in 22 districts of Tehran in the recent decade. The results of the research modeling show that the southern area of the city has had the highest increase in vulnerability during the last decade, and so, it has had the highest reduction of the population, too. Nonetheless, the district 18, which is located in the west zone of the city, has faced an increase in population despite its increased vulnerability. Moreover, the northeastern area of the city has faced increased vulnerability as well as a sharp increase in population during the last decade. These changes can challenge this part of the city because of possible future crises. Finally, the reduction of vulnerability along with the increase in urban population has happened in the northwestern area. To keep this vulnerability low, the acceptable capacity of the population in this part of the city (especially district 22) should be taken into account.

Land use mapping and land use maps related to the prediction of spatial-temporal changes provide a major portion of the information required by urban planners and administrators to adopt correct measures and make principled decisions to achieve sustainable urban development. The purpose of this investigation was to examine land use and land cover changes in Yasuj city in the past and, consequently, to predict the spatial pattern of the land structure in the near future. In this study, the satellite object-based image analysis of the images taken by Landsat satellite in 1990, 2000, and 2018 was used to make a dynamic modeling of Yasuj lands use changes. Moreover, a combination of the Markov chain and automated cells were employed to predict land use changes. The results showed that during the period between 1991 and 2018, the area of pasturelands decreased by 7.18%, while the total area of residential areas increased by 2.02%. That is to say, the spread of Yasuj city has led to the increase in the residential and irrigated cultivation lands, while it has decreased pastures, forests, dryland cultivation areas, barren lands, and gardens. Furthermore, the development process of Yasuj city shows its tendency to physical-spatial expansion in all dimensions. Moreover, the land use map for the years 2030 and 2040 was predicted by the CA-Markov model. The results showed that during the period 2018-2040, pasturelands, dryland farming areas, and forests will decrease 1.08%, 1.03%, and 1.47%, respectively, residential areas will increase by 4.17%, and the waterbody will change a little. The results of the study show the high efficiency of the CA-Marcov model for monitoring the trend of changes, especially urban growth, for the coming years based on the pattern of changes in the past years.