This study aimed to investigate the temporal-spatial and synoptic features of thunderstorms in southwest of Iran (Khuzestan, Chaharmahal & Bakhtiari and Kohkiluyeh & Boyerahmad Provinces) It was compiled using volatility indices during the period 1985-2015. Results of Frequency Analysis of Thunderstorms at Dezful Station with 479 cases the highest frequency and Ramhormes with 252 days had the lowest frequency. In terms of seasonal distribution, spring was the most abundant with 39%. On a monthly basis, April had the lowest frequency with 21% and August with only 2 cases. In terms of thunderstorms the highest frequency of thunderstorms with no thunder was 21 percent. Synoptic analysis: Most of the time there is a nave (at level 500) or low pressure in the west of the region, east of the Mediterranean Sea with its tabs clockwise. From the Red Sea and the Persian Gulf, they entered the south, southwest, and west of Iran On the other hand, the high-pressure system on the Gulf of Aden in the east of the region is round in the clock It has injected moisture, especially at a level of 850 millibars. Interaction between the two systems over the course of the day, It has injected moisture from three sources of the Mediterranean Sea, the Red Sea and then the Persian Gulf into the rising systems of the region. The low-pressure counterclockwise movement of the eastern Mediterranean, Along with the high-altitude clock movement over the Gulf of Aden, it has injected moisture at levels of 850 to 700 degrees.

It is very matter to study and measure snow covers as one of the important sources of water supply. Due to the hard physical conditions of mountainous environments, there is no possibility of snow measurement. the use of  remote sensing with regard to low costs, up-to-date and extensive coverage in this field can be proven to be a good way to identify in snowflake areas. the main objective of this research is to estimate the surface coverage of Sabalan mountains using satellite images of OLI and TIRS sensors and using the object-oriented classification method. The classification of satellite digital images is one of the most important methods for extracting information, which is currently done with two pixel-based and object-oriented processing methods. The base pixel method is based on the classification of numerical values of images, and the new object-oriented method, which, in addition to numerical values, uses content, Texture, and Background information also in the image classification process. Therefore, in the present study based on the precision of the object-oriented classification, the object-oriented techniques were used to extract the surface of snow cover. In this study, due to the use of high resolution spatial resolution (Landsat 8) and the new method of classification of images, the snow surface was characterized by Normalized Difference Snow Index (NDSI), Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Brightness with a total accuracy of 91 percent, to 2142.62 square kilometers for the range Sabalan mountains have been extracted and the results can be used as alternatives to snowflake stations.

Today, agricultural tourism or agritourism is emphasized by focusing on a farm or agricultural business as a tourist destination with the goal of educational, recreational and job creation in rural areas. This type of tourism is a stimulus for the vulnerable rural economy and the needs of citizens who pay for their visits to or participation in farm activities, the direct purchase of agricultural products, and the familiarization with nature and indigenous people, which contribute to economic prosperity, job creation and prosperity. Villages will be. In the present study, its nature is applied and its method is descriptive-analytical, the explanation and identification of the factors affecting the development of rural tourism in rural areas is the goal of the research. The statistical population of the study consisted of three groups of officials and experts, locals and tourists. For each group, according to the Cochran formula, 34, 261 and 20 subjects were selected. The main focus of the data on the field method was collected through face-to-face questionnaires and interviews. To analyze the data, descriptive statistics methods such as mean and frequency and inferential statistics methods such as one-sample t-test, Chi-square and Chi-square, and Kruskal-Wallis were used. The findings show that factors such as housing provision for tourists, government incentive schemes, coordination between government agencies, awareness of farmers, and setting up private sector investment with a significant level of 0.30 and a positive amount of chi-square are the most important priorities. Effective in developing agricultural tourism in rural areas of Tehran province.

Concerning the importance of urban network studies and the role of hierarchy system in population decentralization in metropolitan areas, this paper by using acknowledged indicators and Grade of Membership (GoM) model and using Combined Analysis method has tried to find the changes in urban hierarchy of Khorasan region during the period 1956-2016. The outcomes show that urban system in Khorasan region as the one in the country was afflicted with inconsequentiality by 1986. However, during the period 1986-2006, the urban network in Khorasan region tended to reach to an equilibrium. Nevertheless, it has gone toward an imbalance during the period 2006-16. The outcomes also depict that the models and indicators did not work coordinated. While some indicators (such as Herfindahl and Entropy indexes) showed that, there were an equilibrium among the urban network in the region, some other (such as Primate City and Centrality indicators) showed increasing centralization and inconsequentiality. Accordingly, the study used “GoM model” and “Combined Analysis method” for the final analysis. The GoM used three variables that aimed to make the model more reliable: The Prime City Indicator, the Centrality Indicator and Equilibrium Indicator. With this methodological novelty, the analysis of the hierarchical patterns represented in the model by the multiple profiles were closer to what could be understood as a "methodological ideal", difficult to be applied empirically due to the complexity of the subject, but included in studies theoretically based. As for future studies, which will seek to understand the hierarchical urban organization of other regions of the country and of the world, these indicators may be incorporated if adapted to the regional reality.

Transportation and urban transportation policies are one of the most important tools which can be utilized for the qualitative and quantitative development of cities. Various factors can affect urban transportation systems including natural, economic, social, and cultural factors. the main objective of the current study is to evaluate and assess the resiliency of urban transportation networks in Ilam City, which is carried out using a descriptive-analytical and comparative method. The required information for the current study was obtained using library and field studies. The statistical population of the study included experts in urban management and crisis management, among which 40 participants were selected using convenience-based method and questionnaire was distributed among them. The analysis of the data was carried out using analytical hierarchy process (AHP) and integrated digital layers in Expert Choice and ArcGIS software applications. The results indicate that 49 percent of the transportation networks in Ilam City, which have a high level of resiliency based on the general criteria, are in high danger of flooding. Moreover, 72 percent of the traffic congestion points in Ilam City are located on streets with a high level of resiliency based on the general criteria. Among all the urban roads and streets in Ilam City, only 63 km has high levels of resiliency and these are mostly the main streets of Ilam City. The final results of the study show that improving the urban transportation system of Ilam City not only involves the structural issues of the roads, but it also involves a large number of administrative issues. Therefore, first we have to identify dangerous areas and then try to take the necessary measures through appropriate management decision making in order to improve these urban transportation networks.

It is important to examine the effect of the tourist personality on the choice of tourist destination. In the meantime, using Hofstede's cultural model in analyzing the effect of tourist personality dimensions on the intention to visit through the perceived homogeneity variable greatly helps to understand this issue. In this research, the effects of femininity, masculinity, ambiguity, avoidance of individualism and collectivism on the intention to visit have been analyzed. This research is applied in terms of purpose and methodological in addition to descriptive and survey research. In this regard, 384 questionnaires were distributed among tourists from German, Japanese, French, Arab (Iraqi), Italian, Austrian, Chinese nationalities residing in five star hotels in Tehran. Structural equation index was used for data analysis. The results show that tourists prefer brands that match their perception of the destination brand. The findings of the study indicate that the personality dimensions of the tourist intent through the popularity of tourism destinations and the image of tourist destinations influence on the perceived homogeneity of the urban tourism brand and the masculinity of the tourism city brand; Perceived homogeneity of urban tourism brand is effective and femininity of tourism city brand does not affect perceived homogeneity of urban tourism brand. The results of this study indicate that Tehran has a masculine brand and people are selected to be masculine and to be collectivist and ambiguous. In fact, the results of the study showed that in selecting tourism markets for Tehran, one should look for tourism markets that are characteristic of the Hofstede model in terms of masculinity, ambiguity and collectivism, as well as the development of tourism spaces for women.

Semi-arid watersheds are sensitive to soil erosion process and suffer considerable losses each year. Morphometric studies are an important method for identifying susceptible erosion zones and are a prerequisite for assessing erosion patterns in watersheds.The semi-arid Kamyaran basin is at risk of soil erosion due to lithological diversity, varied geomorphology, rugged topography and the nature-based livelihoods of its inhabitants and determination of soil erosion potential of this basin is essential for scientific management and sustainable development. The purpose of this study is to prioritize soil erosion potential in the Kamyaran basin. Methodologically, this research is based on WSA and averaging methods based on the calculation and ranking of morphometric parameters. The results showed that according to WSA methods and averaging 53.63% and 75.91% of Kamyaran catchment area, respectively, are located in areas with high soil erosion potential and require protection plans. The WSA method has better performance for prioritizing soil erosion studies due to different morphometric parameters and how to calculate it accurately. Sub-basins located in the northern areas of the Kamyaran Basin have high potential for soil erosion and sub-basins in the southern areas have low soil erosion potential. In general, the amount of soil erosion potential in Kamyaran basins is affected by the lithological and geomorphological conditions of the basins and the parameters related to infiltration have the most influence on the extent of soil erosion potential in the basins.

Housing, as the primary needs of mankind and providing his satisfaction, plays an essential role in improving the quality of life. In these conditions, the "home quarantine or social distance plan" is the only way to interrupt the transmission chain, this research seeks to examine the physical-social factors in the quality of today's homes (including a variety of species of housing) for long-term presence of humans in The conditions are quarantine. In this paper, we have tried to extract indices and components of the quality of different types of housing and the effect of each of the factors in the tolerance of quarantine conditions in different types of housing of Tehran. The method is based on applied purpose and in terms of descriptive-analytical nature and comparative technique. The documentary and field method and a questionnaire were used to collect information. To analyze the data, single sample t-test and mean test and to study the normalization of data were used by colomogorov-smarinov test. The statistical population of the study includes residents of different types of housing in Tehran are 381 samples. Measurement of research indicators with Likert spectrum and with a assumed average of 3 and 3 indicators and 9 components and 49 measures. These indicators include physical, social, cultural indicators. According to the results, residential complexes have the highest level of satisfaction (mean 4.41) of physical-social factors in the quality of life of residents of different types of housing species in quarantine conditions. The level of social, physical and functional indicators in general for residential complexes show a better condition. By summing up these indices and the overall examination of physical-social factors in the quality of life of residents of different types of housing in terms of quarantine conditions; It was found that apartment housing has the lowest satisfaction (3.77) of social physical factors of their quality of life in quarantine conditions. At the end of research, suggestions for improving the quality of life of residents of different types of housing in quarantine conditions were presented with respect to physical-social dimensions.

the aim of this study is to explain the impacts and impacts of organizations such as municipality on land use management in the tehran metropolitan area to determine and change land use patterns in documents and factors affecting them . because of the qualitative research approach and its type , the influence of organ and document content including land use projects in tehran was used . research findings show that land use management in tehran with conflicts in land use management , weakness in land use management , weakness in land use management system , weakness in land use management system , weakness in land use management system , weakness factor in land use management system , weakness factor in land use management system , informal and quasi - governmental agent and private agent are classified . finally , the change of land use change in tehran metropolitan area has been studied and challenges and opportunities are presented . the research method is analytical and by software soft ware and t - test .

Land surveying to increase crop production and productivity is nowadays considered as one of the alternative approaches in agricultural development and the need to address this issue especially in rural areas where their income is highly dependent on agriculture is of great importance. Is high. Agricultural development is one of the priorities of agricultural planning and requires such development to identify the effective factors that govern it. The purpose of this study was to evaluate and evaluate the environmental capabilities of olive cultivation in Tarom city and to analyze the location of its producing rural areas. Hence, from altitude, slope and slope status as terrestrial parameters and three climate parameters as relative rainfall, temperature and relative humidity data from 11 meteorological, synoptic and rain gauge stations with appropriate statistical period (1375-1395) and A common time base was used for climatic zoning. The results showed that Tarom city is in good condition for olive cultivation, 21.2% of the total area of the study area is suitable for olive cultivation, most of which is located in the middle districts of the city. Located in olive-growing lands, these areas produce 74.8 percent of the olive in Tarom, due to its olive-growing potential.

International rivers, as borders or crossing national borders, have been considered as a significant part of international relations. Especially, approximately half of the world's population lives within the basin of these rivers, and more than 90% are living in countries with these basins. This condition, by creating an undeniable relationship of interdependence, has made water a critical issue for these countries. Thus, as populations and economies grow and develop and national water resources are exploited for additional growth and development, government action and reaction to a higher share of these transnational sources will increase. By the way, the type of government interaction in line with exploiting these common resources includes a wide range of cooperation to tension and war. In some parts of the world, common water resources in the form of rivers have used as a linking factor between nations and governments. So that, instead of conflict, the beneficiary countries take the path of cooperation and convergence and they have taken important steps with regard to the development of the region as optimal management of common water resources. Although the achievement of international cooperation is a long, lengthy and complex path, always, there are many ways to follow, many steps to take, and many options for appraisal and selection. The current research is a descriptive-analytical research and by means of library resources and examining the practical status of cooperation in a part of the Danube River as a model, concluded that cooperation was not just for water agreements and factors such as environmental concerns, regional security, regional benefits (such as joining organizations and ::union::s), mediation (governments, international organizations, and institutions), etc., are effective in this process.
 

Also, because of human activities and natural phenomena, the face of the earth has always undergone a change. Therefore, for optimal management of natural areas, awareness of the ratio of land cover/land use changes is a necessity. Therefore, extraction of land use maps as the most important goal in the management of the natural resource can be considered. The purpose of the present study was to evaluate land cover/ land use changes at the Rozechai Watershed during the period of 30-years 1985-2015 using Landsat 5 and Landsat 7 satellite imageries such as TM and ETM+ sensors; plus, land use maps were prepared using TerrSet software and object-oriented classification in 1985 and 2000 years. As well as the land use map of procurement by the geographical organization in 2015 has been used. The results show that rangelands level has the highest percentage among all land use types during the period of 30 years, but between 1985 and 2000, and 2000 to 2015, the level of rangelands has a decreasing trend indicating the destruction trend in the region of the replacement of moderate- poor rangelands and good rangeland by dry farming. Also, the tables of obtained from the error matrix indicate that the observed values in the diameter of the error matrix are much larger than the values outside the diameters. Thus, the overall accuracy for the years 1985, 2000, and 2015 were 97, 90 and 96 percent, and The values of Kappa index were 91%, 84% and 94% respectively, indicating a high degree of accuracy in the object-oriented approach to classification.

Identifying barriers and adaptation requirements is crucial for the successful implementation of climate change adaptation practices at the local level, especially in mountainous rural communities with limited local resources and technology. Due to the importance of this issue, in the present study, the barriers and requirements for adaptation to climate change in mountainous villages were investigated. The present research is descriptive-analytical in terms of purpose and method. The data collection tool was a questionnaire, free interview and observation of the researcher from the study area. The statistical population of rural households is Papi section of Khorramabad city (N = 2346). Using Cochranchr('39')s formula and sampling method, 330 households were selected as a sample. To analyze the data, descriptive statistics and exponential exploratory co-integration rank test (Johansen method) were used. The results showed that farmers in the mountainous villages of the study area face several adaptation barriers that are more serious institutional, normative, technological and information and cognitive barriers. Given that adaptation conditions are an important factor in reducing or eliminating adaptation barriers and improving farmerschr('39') adaptation capacity to climate change, local economic development, local infrastructure, production technology, and the granting of micro-credentials are the most prominent adaptation requirements in these were the grounds. In addition, due to the effective role of government, cooperatives and villagers themselves in rural development, a rational adaptation framework for selecting optimal adaptation strategies in cooperation with these three, as appropriate regional adaptation measures and policies for research proposals was presented.

As a novel idea for discussion on the role of industrial development on regional development, the term “cluster” became noteworthy since 90’s in order to increase competitiveness. Territorial development researchers believe that formation of regional industrial clusters improves competitiveness and plays a role in promoting competitive advantages and regional development. Hence, because of the possibility of realization of competitive advantage, Tourism clusters became a focal point for research and policy making. Against this background, the purpose of this research is to analyze and review the role of industrial clusters on development of regional competitiveness and assumes that the higher number of relations in an industrial cluster leads to higher level of regional competitiveness. The research applies descriptive-analytical research method and utilizes questionnaire to collect data. The data was studied by SPSS and Lisrel software packs after approval of validity and reliability of data. Findings corroborate the relation between higher number of relations in industrial clusters with higher level of regional competitiveness and also identifies the contributing factors to development and stimulation of regional development which are ranked by the order of their effect as follows: 1. Social relations, 2. Geographic and location relations, 3. Economic relations, and 4. Institutional relations.