Dust is referred to sediments of less than 100 microns in size which are transmitted as suspended particles. Dust storms are events which naturally occur in arid and semi-arid areas, especially in subtropical latitudes. One of the most known sources of dust is the west of Asia, including Arabian Peninsula, Syria, Iraq, and Iran, especially Khuzestan Province. The purpose of this study is to investigate the frequency and trend of dust phenomena on hourly, monthly, seasonal and annual scale between 1995 and 2015 in Khuzestan Province. The method in this study is based on statistical computation of dust parameters and also the trend analysis of data based on Mann-Kendall test and spatial distribution maps of dust phenomena. The results suggests that 78.57 percent of dust event are occurred between 9.30 am to 15.30 pm local time, concurrent with peak of sun radiation and earth surface warming, dryness of soil and local pressure difference. The hourly trend analysis is increasing and significant in all hours and the highest increase occurred at 9.30 pm to 12.30 pm.49 percent of dusty days occurred in June, July and May and also 73 percent of them are in spring and summer as following from temperature increase and water and soil resources drying in the province. The seasonal and annual spatial distribution of dust indicates that most of dusty days in all seasons are located in west of province which suggests dominance of external sources as the main source of dust and the importance of topography factor in this area.The Z value spatial analysis suggests high increase of dust event in recent 20 years in southeast, south and central areas of the province and also on last hours of day which demonstrator development of internal sources activities in increasing trend of dust event in recent decades.

Reviewing the damage caused by landslide proves the need to examine the factors influencing the occurrence of this phenomenon and the prediction of its occurrence. Therefore, the purpose of this study was to improve the prediction of landslide occurrence in the Taleghan watershed using Shannon Entropy Theory. Among the factors influencing the occurrence of landslide, ten factors of elevation, slope, slope direction, geology, vegetation, land use, water congestion, fault, road, rainfall as independent variables and sliding zones were considered as dependent variables. Then, using the entropy index, weighing was calculated for each of these factors based on their effectiveness, and the value map of each parameter was calculated according to its weight. In the next step, by mapping these maps with the map of landslides, a risk zoning map for the basin was drawn up. After calculating the Shannon entropy index, it was determined that 86% of the landslide area is in three medium-risk, high-risk and highly hazardous areas, indicating that the final map of the zoning is based on the correct method. Also, the total quality index (Qs) in this method was equal to 2.3, which indicates that this method is more reliable and more suitable for zoning of landslide hazard in Taleghan watershed. The accuracy of the method (P) for the entropy model was equal to 0.24, indicating a more appropriate resolution of the risk zones in this method.

The city health, social and physical environment with all facilities that perform life activities with ease and efficiency makes possible. Urbanization, followed by its specific problems such as environmental degradation, water pollution, air, soil, increase mental illnesses and civil society more than ever threatened. This has led to today's urban design and urban management many challenges in the field of population, housing shortage, pollution and environmental degradation, social conflicts and provision of services and facilities infrastructure is facing. In this regard, the plan to create a healthy city public participation plays an important role in cities. In fact, a healthy city, city to realize a healthy person. The urban design approach and engage in healthy people. This cross-sectional study and data collection instruments and survey was conducted in two ways. According to the results, the neighborhood Shiite index of the five health (social, economic, environmental, health and culture) desirable standards Healthy City away in some areas also need to redesign and greater participation authorities and people in the neighborhood felt. The paper solutions to create healthy city with the participation of the people through the realization of indicators and metrics have reached a healthy city.

The Urban Development Strategy Plan is an attempt to take into account the potential and talent capacities of the city in an institutionalized and systematic framework and the construction of a clear future as one of the current concerns that identifies strategies for creating urban sustainability conditions in good governance. The main idea of ​​this policy is that it is imperative for all cities in an increasingly competitive and increasingly global economy to have a clever and clear strategy for how its land is positioned to minimize negative effects, predict potential shocks, and exploit the comparative potential and Competitive In such a situation, making decisions for urban issues and planning for the future is much more difficult. The purpose of this study is to evaluate the urban development strategy of District 22 as one of the tools for implementing urban governance paradigm. The research method is descriptive-analytic. The tool for evaluating AHP's hierarchical analysis technique is implemented according to the views of the experts and stakeholders. The results of the research indicate a significant difference between the design of CDS and its implementation phase.

 The study of meteorological characteristics and its variability is important in assessing the climate change impacts for water resources management. Trend analysis of hydrological and meteorological time series is a method for determining the change in climate variables that is performed with different parametric and non-parametric methods. In this research, the annual, seasonal and monthly trends were analyzed regarding rainfall and temperature time series for 1986-2017 in 28 stations of Kashafroud basin in the Northeast of Iran. For this purpose, the annual, seasonal and monthly trends were evaluated using non-parametric Mann Kendall and Pettitt test at 95% level significance. The results showed the trend for the monthly maximum temperature in spring and winter and also the annual trend for all stations was increasing, whereas the summer and autumn pattern differed. The trend of minimum temperature in all seasons and stations do not have a uniform pattern. The results of precipitation trend indicated that the annual precipitation of the basin had not changed and did not have a significant trend in 5% level of significance. Precipitation of the basin in the winter decreased. There was an increasing trend in the Southern half of the basin in autumn. The noticeable decrease of precipitation in winter season especially during January and February with an increase in November can be a serious challenge for water resource management of basin during the dry season.

In this regard, the main purpose of this study is to investigate the role of non-governmental organizations in improving the urban management system of Tehran metropolis in six physical, functional, social, economic, environmental and institutional dimensions. The research method was descriptive-analytical and the data collection method was documentary and survey. The research tool was a questionnaire. The statistical population of the study was the citizens of Tehran and the sample size was 383 people. The data were analyzed using T-test and confirmatory factor analysis. The results show that the level of significance in all dimensions is lower than 0.05; Therefore, according to the average scores, NGOs in Tehran have mainly played a greater role in the social and environmental dimensions and in the economic and institutional dimensions in the form of an intermediary relationship between urban management and citizens. In the framework of confirmatory factor analysis, comparison of explanatory variance by six factors showed that social, environmental, functional, physical, economic and institutional factors have the highest variance in explaining the role of factors in the urban management system of Tehran. A total of 20 main factors in explaining the role of semen were confirmed; Thus, it was found that the Samanids, given that they are in direct contact with citizens, can accurately reflect urban issues and realities to the urban management system; For this purpose, it is suggested that first, according to their different functions, the subdivisions should be classified into specialized subdivisions on various urban issues, and also their position in the urban management system should be upgraded.

The purpose of this study is to determine the long-term variations in rainfall data as well as to identify wet and dry periods of 35 synoptic stations in Iran. In order to know the variation of rainfall in studied stations, average maps, coefficient of variation and skewness were drawn. Then, using the Mann-Kendall test, the significance of the trend on each station was tested at 95% confidence level. Finally, wet and dry periods were identified by using 20% high and low extreme rainfall during the 50-year study period. The results show that the general model of the country's regime is that the rainfall levels from the north to the south-east and from the west to the east of the country are reduced. The lowest values of the coefficient of variation and skewness are related to the northern regions especially the Caspian seaside and the highest amounts are in the southern regions, especially in the south and south-east. In general, the results of the Mann-Kendall test show that rainfall data in the seasonal scale, with the exception of several synoptic stations, do not show a significant trend. Most wet periods occur in the spring and the lowest in summer and the highest dry periods occur in the autumn and the lowest in spring. The number of droughts in the cold periods is significant. Also, the frequency of occurrence of dry periods is more than wet periods.

In fact, the growth of urban consciousness is a wise strategy to drive urban development and control dispersion and drive urban growth toward sustainability. The purpose of this study was to evaluate the rate of Bushehr city area in terms of growth indices. In this regard, this research is a goal-oriented, applied-developmental one, and a combination of documentary, analytical, causal and survey methods. Reliability of the research instrument based on Cronbach's alpha coefficient of the research was 0.749 which is higher than 0.7 and is appropriate. The statistical population of the study is Bushehr inhabitants which according to Cochran formula is estimated 384 samples. According to the statistical population, the questionnaire was distributed randomly among the citizens. In order to compare between two regions, T-test with two independent samples was used for evaluation of urban smart growth in District 1 and 2 of Bushehr. In this test, the first option to be considered is the significance level while the significance level or sig between the two regions is less than 0.05 indicates a significant difference between the two regions and vice versa. Significance level analysis (0.000) shows that there is a significant difference between the two regions in terms of urban smart growth. Meanwhile, the mean of Region 1 with 3.21 was higher than that of Region 2 with 2.86. Although there is a significant difference in Bushehr region in terms of smart growth indices, this difference is not significant and in general Bushehr regions are not in a good position in terms of smart growth indices.

As cities develop and expand, their encounters with various topographic and geomorphological units and related issues increase. Geomorphological units are always related to the dynamics and dynamism of the natural environment, and any action taken in the direction of the development and construction of cities in some way intersects with the aforementioned dynamics and dynamism and, as a result, with morphological phenomena. In this encounter, if some essential principles and points are not observed, the morphodynamic balance of the environment will be disrupted and major risks will threaten the majority of urban equipment and facilities. The purpose of the present study is to investigate the role of unevenness in coastal city planning by comparing the two analytical hierarchy process methods, AHP and AHP FUZZY, in the city of Noor. The research method is descriptive, analytical and field-based in terms of applied and developmental purpose and in terms of data collection, in which the researcher-made questionnaire was used as a tool. The result of the sensitivity analysis showed that AHP is sensitive to uncertainty in the decision model; However, the comparative analysis shows that the differences between the criteria rankings in the two models do not necessarily result in the selection of different options (as focal points), but rather differences in the spatial extent of the selected options are more important. The findings provide a new direction for the selection of MCDM methods for urban planning. If the planning objective is to identify priority areas for development as focal points, then simpler MCDM methods such as AHP should suffice; but in more detailed planning where the identification of spatial boundaries is required (such as determining the master plan), a multiple approach using two or more MCDM techniques would be ideal.

Today, due to the conditions of globalization, city branding has become increasingly important due to its tourism potentials. Most regions with strategic planning in this area aim to achieve economic development and reduce deprivation through tourism. In this study, the research strategy is deductive, and its purpose is practical. The required data and information were collected from library resources and surveys (questionnaires and interviews) with experts. The meta-SWOT technique, based on an inside-out approach and a resource-based perspective, provides a framework for enhancing the competitiveness of cities and regions. The city of Kermanshah possesses significant capabilities to attract tourism, enabling it to achieve urban, regional, and global competitiveness. The findings of this study show that among the capabilities and potentials of Kermanshah, the existence of historical and cultural monuments—such as Taq-e Bostan, pillars, historic houses, museums, and its role as a center for handicrafts—as well as cultural similarities with people living in Iraq and Turkey, along with its unique culture, beliefs, and customs, serve as key tourism potentials. These attributes align with the four characteristics of the VIRO framework (Value, Rarity, Imitability, and Organization), making them the most strategic fit with macro variables affecting tourist attraction and urban competitiveness through tourism in Kermanshah. Among the major influential variables, the COVID-19 pandemic, international sanctions against Iran, climate change, natural disasters, and lack of funding have the greatest impact on the urban competitiveness of Kermanshah. Based on the analysis of resources and macro variables, a strategic fit map was developed, and appropriate solutions were proposed.

Dust is a phenomenon with significant environmental impacts across various aspects of human life, including agriculture, economy, health, and more. The purpose of this study is to investigate and predict the dust phenomenon in Kermanshah. Meteorological data with a 3-hour resolution for the statistical period (2000–2020) from the Kermanshah station was obtained from the Meteorological Organization. First, the dust data were normalized, and then Artificial Neural Network (ANN) models were used to predict dust concentration, while the Adaptive Neuro-Fuzzy Inference System (ANFIS) was employed to analyze and predict the time series of dust occurrence in MATLAB software. The findings revealed that the maximum predicted dust concentration, related to the minimum dew point with the highest Pearson correlation with dust, was estimated at 3451.23 µg/m³. Additionally, the results of the time series prediction using the ANFIS model showed that the linear bell membership function with grade 3, during both the training and testing stages, was the most effective input function among other membership functions. According to the forecasting models, the highest probability of maximum dust occurrence in the next 20 years in Kermanshah is 94%. Based on the aforementioned studies, sufficient information was gathered to conduct this research. The phenomenon of dust, particularly in western Iran and the city of Kermanshah, has consistently posed significant challenges for the residents of these areas. This phenomenon is influenced by specific atmospheric conditions that cause irreparable damage annually, leading to respiratory issues and deteriorating air quality. Therefore, it is essential to pay serious attention to the issue of dust.
 

In the domain of spatial planning for border areas, it is imperative to adopt a macro-perspective view of geography to effectively identify the potentialities, capabilities, and limitations inherent to these regions. This approach aims to mitigate tensions and challenges arising from unbalanced development, deprivation, and spatial heterogeneity. The research methodology employed in this study is applied in purpose, utilizing a descriptive-analytical approach in terms of method. Specifically, a combination of multi-criteria decision-making techniques, including the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Shannon entropy coefficient, has been utilized to evaluate the distribution and development of spatial development indicators within the health service sectors of Kurdistan Province. The border cities of this province have been classified according to their levels of these indicators. The central research question of this study is: What is the state of the cities in Kurdistan Province concerning the spatial distribution of health and service indicators? Preliminary findings suggest that the level of access to health services in each of the border cities in Kurdistan Province does not meet the desired standards. The results indicate that, despite its strategic geopolitical significance, Kurdistan Province remains one of the most deprived regions in the country. Furthermore, there exists a notable imbalance and heterogeneity in the distribution and development of facilities and indicators across the border cities of the province. An analysis of 13 indicators pertaining to spatial organization across four border cities reveals that Saqez and Baneh are classified within the semi-privileged (semi-deprived) group, while Marivan and Sarvabad fall within the deprived category. Consequently, the findings underscore that the spatial organization in the border cities of Kurdistan Province is markedly heterogeneous, positioning these cities at a middle to lower level in terms of health service development. It is essential to afford particular attention to this border province to ensure the enduring security and well-being of its citizens.