Today climate change cause increase in concentration of greenhouse gases has been cause increase extreme events and atmospheric hazards. goal of this research, analyze and review climate future is for atmospheric hazards in sistan region. In this study, to simulate minimum and maximum temperature data used from model data CanESM2 under three scenarios (RCP2.6, RCP4.5, RCP8.5) with SDSM statistical scrolling and to simulate rainfall data from the Hadcm3 model under scenarios (A1B, A2, B1) with statistical scrolling LARS-WG. For this purpose, after calibration, validation and data modeling at the selected station, the performance of the model from the viewpoint of the compliance of the base temperature data (1984-2005) and rainfall (1986-2015) with simulation values (2020-2039) evaluated at a significant level of confidence. To adapt base data to simulated data Used of the three criteria root mean square error (RMSE), coefficient of determination (R2) and mean squared error (MSE). According to simulated data were examined four important atmospheric hazard frost, heat waves, extreme precipitation and drought. The results showed that heat waves and drought in the future are serious threats in the region So that in 2021, under release scenario RCP 2.6, Predicted 32 heat waves and the study area will experience more than five heat waves in the year. In addition, most frequent drought forecast in 2020, under release scenario A1B. Extreme precipitation in some years under scenario B1 can be significant threat in the region. Intensity and abundance annual frost under release scenario RCP2.6 more than other scenarios and lower relative to investigated atmospheric threats.

One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities.  One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities.The purpose of this study is to explain the models of cultural tourism development in Iran. In the quantitative part of this research, in terms of controlling the studied variables, it is non-experimental, in terms of strategic survey and in terms of the nature of this research is applied. In relation to the research method, it seeks to identify the relationships between cultural tourism and the factors affecting it using the structural equation system. The nature of research is causal research. Considering the application of structural equation modeling to study and analyze the conceptual model of the research, the method of this research is correlational and variance-covariance matrix analysis. The statistical population in the quantitative section was all employees and managers of the Cultural Heritage, Handicrafts and Tourism Organization. In the quantitative part, the sampling method is stratified. Cochran's formula was used to determine the sample size. Based on this, 383 samples were estimated. The tool of this research was a researcher-made questionnaire. To determine the validity and validity of the questionnaire, content validity as well as structural validity were used to determine the validity of the questionnaire. The reliability of the research was analyzed using Cronbach's alpha test. The results of quantitative analysis showed that social indicators have the greatest impact among the leading indicators of cultural tourism in the country.

 today, the importance of the square that have once been a place of interaction for city dwellers, has diminished. the purpose of this study was to identify the effective parameters on improving the quality of space and preserving the historical identity of the square and organizing the square by providing scientific and practiced solutions to enhance the quality of space and preserve its historical identity. This research is of descriptive-analytical type and the statistical population in the present study are people  in square .random  sampling from people of different ages and insights , after starting with the least number , continued until we reached the theoretical saturation of research.the data collection tools are field and library.the analysis was in the form of an open and closed-ended questionnaire that the validity of the questionnaire was assessed as face validity (experts opinion) . and  whit using the swot technique and spss software were analyzed. among the various items to memorize the square , the name of Gharamalek square with 59.3 % is reminiscent of the historical  and valuable space and with naming this space a living historical place is embodied in people's minds.the sum of factors and applications such as the comprehensive mosque , the historical bath , the silk road and etc have been instrumental in establishing the identity of the square.the silk road that used to cross this area in the past and is not known today , ad a negative effect on people's mental image.

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.

Studies have shown that the role of thermal temperature measurement in studying and estimating surface temperature is very important. Earth surface temperature is an important indicator in the study of equilibrium energy models on the ground at the regional and global scale. Due to the limitation of meteorological stations, remote sensing can be a good alternative to earth surface temperature estimation. The main objective of this study is to monitor the surface temperature of the Earth using satellite imagery and a relationship that can have a surface temperature with land use. For this purpose, the relevant images were first obtained and the necessary pre-processes were applied to each one. Then it was compared to modeling and classification of images. Firstly, in order to study land use change, land use classification map was extracted for each two years using a controlled classification method. Then, to study the land use change, the land use change map was extracted for a period of 28 years (1987-2015). Became finally, in order to monitor the surface temperature, the surface temperature map of Meshginshahr was extracted. The results showed that there is a strong relationship between land use and surface temperature. High-vegetation areas and low-temperature blue areas. Also, rainfed farming has the highest average temperature relative to adjacent areas, which indicates the dryness of agricultural products in the Meshginshahr city.

The purpose of this study is to investigate the effect of dust on the economy of Ahvaz. The present study has used descriptive and analytical research methods. In addition, this research is applied-developmental in terms of purpose. The statistical population of the study includes specialists, managers, experts and professors in the field of environment and dust in the city of Ahvaz is 65 people. The sample size was selected based on the total census of 65 people. A questionnaire designed in urban economics in the city of Ahvaz, which has four main variables. Based on this, the questionnaire has 32 questions that will be researcher-made and each of the four main variables has eight questions. Experts and professors formalized the validity of the questionnaire and its reliability was confirmed by Cronbachchr('39')s alpha of 0.81. Data analysis was performed based on structural equation analysis in Smart PLS software. In general, dust has affected the economy of Ahvaz city and this has been in such a way that dust on urban housing with an impact factor of 0.63 and a value of 11.4 T, Dust mites on urban transport with an impact factor of 0.60 and a value of 9.94 T, dust mites on urban facilities and facilities with an impact factor of 0.54 and a value of 6.70 T and dust mites on urban finance with an impact factor of 0.68 and a value of T 16 / 12 has had an impact

 The purpose of this study was to develop good governance indicators and criteria, evaluate good governance in integrated management of Kish, and provide strategies to promote integrated management of coastal areas with good governance approach. To accomplish these goals, firstly, by explaining the subject literature and reviewing the research background, an integrated coastal zone management model with a good governance approach was presented. The main criteria in this model are participation, legislation, accountability, accountability, central justice, transparency, efficiency and effectiveness, and community-centricity, each of which includes sub-criteria. Then, by using questionnaire and interviewing residents and experts, as well as by applying hierarchical analysis method, good governance status in integrated management of Kish was assessed. The final score of Kish by calculations was 2.53 (out of 5), indicating a relatively inadequate situation of good governance in Kish integrated management. Finally, solutions were presented to promote good governance in the integrated management of

The emergence of a variety of inequalities, widespread poverty, malnutrition and ... were examples of the effects of urbanization. For this reason, many scholars and experts have focused on the quality of life, in order to improve living conditions and improve the quality of life of human beings. Many studies show that satisfaction with different dimensions and characteristics of the neighborhood affects residents' quality of life. Considering that satisfaction with life, i.e., the full satisfaction of all parts of life, if this kind of satisfaction does not develop among residents, more serious problems such as intra-urban migration, severe class contradictions and the problem of uplifting and down-town faces Accepts. Therefore, identifying the effective factors on residential satisfaction in each neighborhood, which is in accordance with the needs of the residents of that neighborhood, is one of the main goals of urban planners in order to increase residential satisfaction. The purpose of this study was to investigate the effect of location and quality of environment on improving citizens' satisfaction from neighborhoods. The research method was descriptive-analytic, data collection method, library and survey, sample size was estimated 315 by Cochran formula. In order to test the hypotheses presented in this study, structural equation modeling was used in Lisrel software environment. The results of this study indicate that spatial sense of belonging and quality of environment have a significant effect on residents' satisfaction with the neighborhood.

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.

The innate sense of interaction with the region is a sign of environmental sensitivity, which is very vital in the 21st century. Today, it is inevitable that regionalism should be included in a larger discourse of architecture, and that the debate over the role of the use of regional green architecture as a factor in cultural identity and sense of place should be promoted. The present study argues that regionalist architecture has entered a new phase of its evolutionary process, which is sustainable regionalism. In this view, regions must be defined in terms of their unique resources and specific constraints. Instead of being influenced by globalization, regions must follow a complex interdependence in a global and regional interaction system that is physical, social, cultural, and most importantly ecological. Therefore, using the method of qualitative content analysis based on the logic of inductive reasoning, from the textual data and architectural experiences mentioned in the research, move and by extracting the hidden concepts in it, gradually reach more abstract levels of sustainable regionalism. We will find. In addition, using the latest works of architecture selected by international institutions and awards and competitions, we are developing examples of sustainable regionalism. Achieving a model or theoretical framework that demonstrates latent disciplines and repetitive patterns in regionalist architecture and sustainable architecture can be the culmination of research.

rchitecture is always influenced by various indicators, the most important of which are climatic and physical-spatial indicators. These indicators are well observed in traditional homes and have played an important role in the use of clean energy. In this study, the aim is to study the climatic and spatial indicators of traditional architecture of Shiraz houses in order to provide a suitable model for housing design in order to use clean energy. The research method is descriptive-analytical and based on data collection through a questionnaire. The validity of the instrument was confirmed by elite and the reliability was confirmed by Cronbach's alpha above 0.70. The statistical population of the research consists of 27089 experts, specialists and people familiar with the architecture of the building and a member of the Engineering System Organization of Fars Province. The number of samples according to Morgan table is 384 people. The result of one-sample t-test showed that all studied climatic and spatial variables including green space, proportions and composition of architectural elements, materials, sustainable architectural design of spaces, building orientation, organizing spaces, water use, maximum use of wind , The use of light and providing coolness with shade at a level less than 0.05 were significant and in terms of the statistical population, were in a good condition. Among the spatial and climatic variables of architecture, the most impact was related to the orientation variable with a value of 4.03 and then green space with an average of 3.85. The regression result showed that the most effective variables in the design of modern houses are related to the variable of proportions and composition of architectural elements with a value of 0.151 units, ie 15%.

During the rainfall, the intensity of precipitation varies. Changes in the amount of precipitation during an event of rainfall are effective in the resulting of flood and its intensity. Knowledge of how rainfall changes over time during rainfall is determined by temporal distribution pattern of rainfall. For this purpose, availability of short-term time scales rainfalls data are important that obtained by rain gauge stations. However, the low density of the rain gauge network and the lack of sufficient data from the time pattern of rainfall have always been a problem in determining storm patterns for executive plans. Therefore, the simulation of WRF numerical weather models can be used. The WRF model is one of the most responsive models for predicting precipitation, temperature and atmospheric elements that used in this study. In this paper, three great storm events on 15 December 2003, 24 - 26 December 2006 and 6-7 March 2007 have been selected in the Parsian dam basin and surrounding areas in south west of Iran. The result of WRF numerical weather prediction model for these great storms compared with data loggers. It showed that the WRF model was able to performance the heavy rainfall and simulates the rainfall pattern in these dates.