Rural management has always undergone various changes. Today, this pillar is the responsibility of the rural municipality Foundation. The purpose of forming this institution is to have a strong executive force in order to develop rural areas. rural municipality, as the executor of village programs and projects, has an important role in reducing urban and rural inequalities and improving the development of the village. Determining the degree of success of rural municipality in performing tasks is possible when its performance is carefully measured. The purpose of this study is to assess the performance of rural municipality Foundation in terms of economic, social and environmental indicators in rural areas of Sarbisheh. The research method is descriptive-analytical and based on data collection in the field through a questionnaire. The statistical population of the study consisted of heads of households (1931 households) in 30 villages with rural areas. The sample size at the level of heads of households was calculated using the Cochran's formula of 320 people. The result of one-sample t-test showed that the best performance of rural areas is significantly less than 0.05 in terms of social indicators with an average of 3.78. Also, a significant difference was observed between the studied villages in the field of social indicators with a significant level (0.008), economic indicators with a significant level equal to (0.004) and environmental-physical indicators with a significant level (0.047). In terms of social performance, Dehneh Chah village with an average of 4.43, in terms of economic and environmental performance, Baghestan village with an average of 3.90 and 4.16 are in first place. The study of paired t-test with a significance level of less than 0.05 and an average difference of (-1.271) indicates that the situation of rural development indicators has become more appropriate after the establishment of the rural municipality Foundation.
Keywords: Dehyariha performance, economic, social and environmental indicators, rural areas, Sarbisheh.

One of the theories that studied poverty and inequality after World War II and urban reconstruction in America in the duality of the suburbs and the central city is the theory of Spatial Mismatch. Despite the role of the background caused by racial-ethnic inequality and the contrast between the suburbs and the central city in the formation of the aforementioned theory, the main indicators of Spatial Mismatch indicate the lack of appropriateness between obtaining a job with sufficient benefits to access affordable and quality housing. This means that the backgrounds, structures and processes of inequality are different from one society to another and the lack of proportionality between the benefits of work and access to housing represents the spaces of poverty. The aim of the current research is to reveal the Spatial Mismatch between the two mentioned indicators in the metropolitan areas of Tehran. The current research is applied research in terms of its purpose and descriptive-analytical in terms of its method. The main data required include major occupational groups and housing status in official population and housing censuses, which have been analyzed using spatial functions. The analysis of the research findings shows that there is a direct relationship between occupational stratification and the quality of residence in Tehran's municipal areas. In such a way that the concentration centers of the lower classes and workers who are deprived of jobs with suitable benefits have been formed in residential areas with poor quality and worn-out textures. Based on this, in the southern regions of Tehran, there is a greater disproportion between getting a suitable job and access to quality housing. While in the northern areas of Tehran, there is much more suitable work and access to quality housing. The final result shows that the two main indicators investigated well reveal and represent the «Spatial Traps of Poverty» which are the main focus of Socio-Spatial Issues in Inner City Areas.

Keywords: Spatial Traps of Poverty, Spatial Mismatch, Work and Residence Spatial Mismatch, Occupational Stratification and Tehran.
 

The present study investigated the impacts of NAO and ENSO on the precipitation in the southern shores of Caspian Sea. The accumulated monthly and annual rainfalls from 5 synoptic stations during the years (1956-2017) were taken through Islamic Republic of Iran Meteorology Organization (IRIMO) and the Multivariate Enso Indices (MEI) and NAO activity years are obtained from National Oceanic Atmospheric Administration. Pearson correlation was used to investigate the relationship between indices and precipitation amounts of selected stations. The results showed that there was a significant relationship between precipitation and NAO index in some months in all stations but this correlation was not following a particular pattern in all the stations. The maximum correlations were observed at Babolsar and   Anzali station and the least correlation was found at  Gorgan stations. The correlation between precipitation and different phases of NAO showed that there was a positive correlation between precipitation and negative phase of the index in Ramsar station and a negative correlation between precipitation and positive phase in the Gorgan station.The results of the Pearson correlation show a significant correlation between the MEI and rainfall amounts in the autumn in some stations in the early winter. In Review drought and wet periods with both Indicator it was observed that the behavior of the stations in the El Niño period, which was with different phases of the NAO was not entirely harmonious but the coefficient of 89% of rainfall in normal and more than normal during the period of El Niño showed that Elnino is better fitted to normal and more than normal rainfall in these stations also coefficient of 60%  of weak to severe droughts in the Lanina period in the selected stations Indicates that the LaNina phase was more related with severe droughts in the under studied period.

The science of urban planning, like other sciences, has been influenced by different intellectual currents. The origins of Folding urbanism, which owes much to philosophy in rhizome, based on Leipnitz mathematics, emerged in architecture by Peter Eisenman, which today survives on an urban scale with postmodern feminist literature as anti-Oedipus and anti-Freudian. Gives. Folding urban planning can be studied in three levels of geography, landscape and city. In this research, landscape and city levels are discussed. Objective: In this research, the evolution of folding is based on Foucault genealogy, which deals with the holes of history and power relations. In the field of urban planning of these relations, the ontology of urban topology layers according to Riemannian equations and Deleuze philosophy in the works of architects such as Peter Eisenman, Zaha Hadid, Eric Owen Moss, Charles Jenks, James Wines.  The research method in this paper is descriptive-analytical with a combination of inductive and deductive. The process of this research has reached the conclusion that Folding urbanism is based on Mendelbrot fractal geometry, Lotfizadeh fuzzy logic and in Lawrence chaos atmosphere and power relations in the glory of feminism and its manifestation on urbanism are the main reasons for the formation. Urbanization is a folding. Results: Similar theories used in folding architecture, rhizome, anti-Oedipus, Mobius, hermeneutic cycle, theories have been formed that are closely related to Gestalt psychology and the phenomenological view that is hidden in the philosophy of unity in plurality. In these theories, the component is folded in its entirety. The skyline, the accesses, the views and all the architectural reserves form a whole unit. Theories related to folding urban planning such as small-scale urban carpets in urban furniture have not been successful, but in single buildings have provided the desired philosophies and have been somewhat successful, and on a large scale in the city well phenomenology, unity in plurality , Contains rhizomes, anti-Oedipus and all the issues raised within it.

Wetland cover classification is of special importance in order to identify the type of plant species inside the wetland and also to distinguish it from the wetland margin vegetation and to study their ecosystem changes.  Due to the spectral similarity between different plant species of wetlands and plants along the wetlands and agricultural lands, this is faced with problems using multispectral data and hyperspectral data can be very useful in this regard. in this study power of hyperspectral and multispectral sensors in identifying the characteristics of the wetland and the ability of ETM + (2011), Hyperion (2011) and ALI (2011) sensors to study the characteristics of Shadegan wetland during 1390 and different spectral indices with a suitable combination of The satellite imagery bands of these sensors were compared as input to a variety of classification methods including maximum likelihood, minimum distance, neural network and support vector machine. The results showed that the support vector machine and neural network methods with closer classification accuracy of 85% in all three images show closer results to reality. The classification accuracy for all three images was at its highest for the backup vector machine method, with a total accuracy of 95.73 for the Hyperion image, 88.03 for the ALI and 89.34 for the ETM +. Therefore, the characteristics considered for the wetland, in the three images obtained from the SVM algorithm showed that showing the differentiation of wetland vegetation use from irrigated agricultural land use is more ambiguous than other wetland features. Studies have shown that this part is less recognizable in ALI and ETM + images than Hyperion images, or in some areas these parts are not separable from aquaculture land at all, while Hyperion due to having 220 bands and having a higher level of Spectral details have the ability to distinguish between the two classes.

Natural disasters cause severe financial and human damage. Crisis management means purposefully shifting the flow of affairs in a controllable manner with the intention of returning things to pre-crisis conditions as soon as possible. Therefore, the main purpose of this article is to present a model of social capital development in urban water crisis management.The study method is descriptive-survey. In order to collect information, interviews and questionnaires were used and for data analysis, SPSS software, AHP analysis method, regression and T were used. Statistical community including crisis and water crisis managers; Also, all residents of Karaj were in the period between 1396 and 1395, which was estimated as a statistical sample of 350 people using Cochran's table.The results of statistical analysis showed that from the perspective of statistical sample individuals, the amount of social capital was lower than the desired level. Also, the relationship between social capital indicators was significant. Also, the results of couple comparison of main criteria using AHP analysis prioritized the indicators of social trust with 0.433 coefficient, incentive policy criterion and change in attitude space with 0.355 coefficient, criterion The interactive and value infrastructure of the society with a coefficient of 0.277, the interaction with a coefficient of 0.203, and finally the criterion of non-alienation with the government with a coefficient of 0.199 showed the fifth priority.The study shows that countries' ability to deal with crises has a lot to do with crisis management policy, promoting social capital in society and developing a spirit of cooperation and motivating participation among the people is one of the important solutions.

One of the aspects of sustainable urban development and balanced physical development is in line with ecological and socio-economic environmental conditions. In the last decades of the twentieth century, despite many efforts in the field of sustainable spatial development of cities, this issue still remains an important challenge for geographers, urban planners, architects and urban planners. In many cities in developing countries, rapid urbanization and increasing urban population have exacerbated environmental hazards. This is doubly important in small cities. Because physical development, in addition to land use change, has met the basic needs of urban society, including the provision of safe and sufficient water, green space per capita, urban waste management and environmental pollution. The present study is applied in terms of purpose and analytical in terms of method. The statistical population consisted of university professors and experts in the field of research in Ardakan who were selected by purposive sampling. They were selected to conduct and implement the research. In order to achieve the research objectives, using a new analytical methodology of interpretive structural modeling (ISM), the relationships between the factors were determined and analyzed in an integrated manner. Finally, using MICMAC analysis, the factors were analyzed according to the impact and effectiveness on other components. The results of the interpretive structural model of the factors affecting the inner development of the city showed that the obtained model includes three levels and the results showed that the managerial and physical factors are the most basic factors affecting the inner development of the city that should be addressed in the first place. In other words, any action to pave the way for the internal development of the city, requires attention to these factors along with other factors

Extreme precipitation events pose a significant and growing threat to society, often leading to floods, landslides, and widespread socio-economic damage. Daily precipitation data collected from 9 rain gauges during 1/1/1991 to 31/12/2023. To identify days associated with heavy precipitation, the 95th-percentile threshold was employed. Days on which the recorded precipitation exceeded the long-term mean of the 95th percentile at more than half stations were classified as heavy-precipitation days for Kurdistan Province. Based on this threshold and criterion, 210 days were selected. Two data arrays with an S-mode structure were constructed for sea-level pressure and 500-hPa geopotential height. Using Principle Component Analysis (PCA) analysis, components explaining more than one percent of the variance were retained as significant modes. For sea-level pressure, nine components were identified, and for the 500-hPa geopotential height, eight components were extracted. Together, these components explained over 92% of the variance in sea-level pressure and more than 95% of the variance in the 500-hPa geopotential height over the study domain. Cluster analysis (CA) performed on the score matrix of the 17 components was then used to identify the prevailing circulation patterns.