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Housing is the first space-tested experience in human relationships and the physical context is a mixed in which social resources, culture and economy In addition housing to meet growth the social sector their housing, it also includes unit environment, In addition housing to meet growth the social sector their housing, it also includes unit environment. Considering the housing quality indicators of access providers to sustainable housing and sustainable housing provides to achieve sustainable city. The growing housing demand of one-dimensional and quantity-oriented approach to housing has caused enough attention to the fundamental issue of housing quality. Lack of access to adequate housing, can cause or increase the incidence of mental disorders and the various problems. Therefore this study attempts to identify the variables and factors affecting the quality of housing, and influencing the indicator housing quality ratings  with assuming a non-uniform weighting of indicators and factors. The investigate methods purpose of this study was to use, and methods of research - descriptive analysis. In order to achieve the desired goal in the research of network analysis (Anp) are used to determine the weights and priorities - ranking each indicator of housing quality components Based on the evaluation of the indicators using network analysis results indicate that the index of indices of housing facilities (.318), home security (.218) home comfort (0.145), proximity Bakarbry compatible (0.142), housing strength (0.109) and housing compatible with Region (0.065) have the highest weight assigned to theme.
 

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Abstract
Urban Regeneration is the one of Restoration function that imports to four dimensions of Form, Economy, Society and Ecosystem. Environment Quality is the one of objects of Urban regeneration. On the other hands lack of peoplechr('39')s interest to live and spending leisure time, the quality of city center decreases and it is more important to increase quality of city center. Environment quality is general subject and, in this study, we use creative model place for describing quality factors of environment. Golkar`s model “sustainable place” which comes from Canter`s Model “Place” is the one of most complete models for assessing the qualities of environment; It imports to four dimensions of form, activities, imaginations and ecosystem after that eventually we can obtain the Conceptual Framework of central part of Urban regeneration based on Environmental Quality. By means of content technique, various ideas and views about environment qualities from global theorists, Experiences of regenerating city center and national restoration document were collected then calculate average of them for selecting most important of them. Finally define Measures for all these important qualities to draw Conceptual Framework. The result show that legibility and Visual character are the most import qualities of empirical-aesthetic factor, Permeability and Socio petal space and Quality of public area and Vitality are the most import qualities of functional factor and Compatibility with nature is the most important quality of ecological factor. These 7 qualities which are among the most important qualities must be considered in regeneration of city centers.

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Abstract
Providing suitable urban spaces, especially open and natural spaces, has an undeniable effect on achieving health-oriented cities and especially ensuring the mental health of citizens. The aim of this study was to investigate and explain the effect of social indicators of public spaces on the mental health of citizens. This research is applied in terms of purpose type and descriptive-analytical method. A survey method (questionnaire) was used to collect research data. The statistical population of the study was the residents of Ardabil. The sample size was estimated to be 384 using the Cochran's formula. The research hypotheses were tested through structural equations using Amos software. The results showed that social factors have a positive and significant effect on the mental health of citizens in public spaces of the city. The value of the path coefficient obtained for the effect of the social factor on the mental health of citizens is equal to 0.52 so that this factor is able to predict 0.27 of the variance of the dependent variable, ie the mental health of citizens. The results also showed that social indicators, namely security, social relations and sociability of urban public spaces have a positive and significant effect on the mental health of citizens. Among social indicators, security index has the highest coefficient of path.

 
 
 

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In this research, the effect of climate change on the amount of virtual water of some strategic crops was investigated in Kerman province for future periods. For this purpose, the climatic data of HadCM3 model was used under RCP4.5 radiative forcing scenario. In order to investigate the possibility of producing and simulating meteorological data in the future periods, was applied the LARS-WG microscale-representative model. For the basic period (1991-2011), was done calibration and validation of the model. Through the data of LARS-WG, the amount of precipitation and the maximum and minimum temperature of the selected stations were predicted for the periods of 2011-2070 and compared with the base period. Virtual water amount was calculated for selected crops including alfalfa, barley and wheat. The results of the current research indicate that the phenomenon of climate change significantly affects the evapotranspiration and the performance of the studied crops, and hence it will affect the agricultural water productivity in the future. While the average temperature of the growing season will increase in the future under the influence of climate change, the maximum temperature parameter will be affected by this phenomenon more than the minimum temperature, and parallel to this, the water requirement and plant evaporation-transpiration will increase in this period. Also, the surveys show a decrease in precipitation in the hot seasons and an increase in the cold seasons in all study stations. The amount of virtual water changes obtained for all studied plants is increasing, and this increase for barley and wheat crops shows a greater increase on average in the future period. The biggest increase in the virtual water compared to the base period in Kerman station is related to barley and alfalfa products by at least 30%.
 

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The basic purpose of this research is to reveal the physical development process of the new city of Sahand, as one of the new cities of the country, using Landsat satellite images during the statistical period of 1401-1373. In this regard, satellite images required for 4 statistical periods of 1373, 1383, 1393, and 1401 were obtained from two Landsat 5 and 8 satellites. By running a band calculation function on the images of TM and OLI sensors, the values ​​of the physical changes of the urban fabric during the investigated time steps in Sahand city were calculated and extracted. The results of this research indicated that the physical growth and development of the city of Sahand has started since 2013. This year, the area of ​​the urban fabric has reached 282 hectares, which is a 28-fold increase compared to 2013. But in the next decade, i.e. 2013, the area of ​​the city reached 570 hectares with a 100% growth compared to the previous decade, and finally, in the last decade, the area of ​​the city reached 850 hectares with a growth rate of 50%. District 6 of Sahand city, which accounts for about 35% of the physical fabric of the city, has been one of the fastest growing areas of the city during the decades of 1393-1400. Considering that a significant correlation at the confidence level of 0.95 (P_value=0.05) was revealed between the population growth and the physical development of Sahand during the statistical period of 1380-1400 (R=0.91), therefore, the fitted regression model between the population growth And the growth of the urban fabric, by placing the proposed population density of this city after the implementation of Mehr housing policies (185 thousand people), it showed that the area of ​​the physical fabric of this city will reach 1181 hectares in the next decade and will face a growth of 38%.
 

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Sustainable development is an environmental concept appropriate to our era that nowadays in all of economic, social, environmental and physical-‌spatial aspects is considered and focused by everyone. In these times, global organizations that are working around the issues of sustainable development, emphasis on rural sustainable development, which seeks to improve rural living standards and welfare of the inhabitants of the villages, because at present time, the procedure of socio–economic variations accompanied by increasing migration of human groups is led to evacuation of villages. With attention to the importance of the subject and the increasing instability of the villages, present study was done for determining the effective factors on rural instability and measuring the intensity of this instability in Kaki District of Dashti Township. The research method is descriptive - analytical in which whole inhabited villages of Kaki District of Dashti Township were surveyed. In this regard, according to the number of households living in villages and using the Cochran formula, 255 questionnaires were calculated for questioning andthese questionnaires have been completed in the villages in proportion to the population of each village. In these questionnaires, 34 indicators related to the four dimensions of sustainable development (environmental, social, economic and physical-spatial) are considered. In order to determining instability intensity of the villages and their spatial analysis, is used AHP method in Expert Choice and ArcGIS software. Also SPSS software is used for statistical analysis. The results show that at the present time, all villages have various degrees of instability. In this regard, 65.8 percent of these villages have severe or very severe instability.  

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Rainfall is one of the most important components of the water cycle and plays a very important role in the measurement of climate characteristic in any area. Limitations such as lack of sufficient information about the amount of rainfall in time and space scale and complexity of the relationship between meteorological elements related to rainfall, causes the calculation of these parameters using the conventional method not to be implemented. One method of evaluating and forecasting of rainfall in each region is time series models. In this research, to predict the average annual rainfall synoptic station at Mahabad, Uromiya and Mako in West Azarbayejan provience during 1984-2013, linear time series ARIMA was used. To investigate model static, Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) was applied and with differencing method, the non-static data transformed to static data. In next step, stochastic models to estimate the annual rainfall average were used. With regard to the evaluation criterion such as T, P-VALUE < 0.05 and Bayesian Information Creterion (BIC), ARIMA (1,0,0), ARIMA (0,1,1) and ARIMA (0,1,1) models was determined as a suitable model for predicting annual rainfall in the three selected stations at Uromiya, Makoo and Mahabad. In the following, the annual rainfall for 3 (2013-2016) years is forecasted which based on rainfall data in that time, the adjusted model was acceptable.

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The prevalence of chronic health problems is increasing, both in terms of physical health and mental health in modern societies. Meanwhile, the health of individuals in society as human capital is important in advancing the goals of thematic communities. The aim of this study was to investigate the role of physical-environmental factors on the mental health of citizens. This research is applied in terms of purpose and descriptive-analytical method. The statistical population of citizens living in Ardabil was estimated to be 384 using the Cochranchr('39')s formula. The field data collection tool was a researcher-made questionnaire whose validity was confirmed by formal validity and reliability using Cronbachchr('39')s alpha test and combined reliability. The results of this study showed that legibility and visual quality, access to urban green space, security of urban space, quality of urban furniture, mixing and variety of uses have a positive and significant effect on the mental health of citizens. Considering the value of the path coefficient obtained for the independent research variables, among the identified variables, the quality of urban green space with the path coefficient value of 0.44 had the highest path coefficient and had the greatest effect on the dependent variable, ie mental health of citizens. Also, the mixing variable and the variety of uses with a path coefficient value of 0.21 had the least effect on mental health.

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Study of resources changes in previous years could be useful in the planning and optimal using of resources to control inappropriate changes. Because land use changes occur on large-scale, remote sensing technique is a useful and valuable tool for monitoring the changes. The aim of this research is land  cover changes detection in a period of 32 years in Pishva town with using remote sensing technique .First TM, ETM and OLI images for the years 1986, 2002 and 2018 were collected respectively and after geometric and radiometric corrections, images were classified by using maximum likelihood classification methods. Kappa and overall indexes were used to calculate classification accuracy. Results showed in past 32 years, bare land and irrigated land have decreased while residential and greenhouse areas have increased. Classification accuracy showed that OLI, ETM and TM sensors have high accuracy respectively with kappa 0.96, 0.80 and 0.76 and also overall indexes of 97.56, 86.54 and 86 percent. Based on results, in the first period (1986-2002) 27.6%, in the second period (2002-2018) 29.60% and in the third period (1986-2018) 31.8% of area land cover have been changed. Results showed land cover changes in the area is related to climate changes like low precipitation, drought and social condition like population and food need increasing and economic condition like high production and efficiency.
 

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With the increasing expansion of urbanization and the increase in the population of urban dwellers and the resulting problems, it is becoming increasingly necessary to provide facilities for the well-being of citizens. Today, the importance and role of urban furniture in urban service and beautification is not hidden from anyone, and urban furniture is one of the essential and inseparable components of cities. The purpose of this study is to investigate the role of urban furniture in improving the quality of urban environment, Bandar Abbas city, which has been done by descriptive-analytical method. Data collection has been done using two methods of library and field (questionnaire). The statistical population of this study consists of citizens of Bandar Abbas, 384 of whom were selected using Cochran's formula and research questionnaire by simple random method. Distributed among them. The research questionnaire was created by a researcher whose validity was confirmed by experts in a formal and superficial manner. And its reliability was confirmed using Cronbach's alpha coefficient. In order to achieve the objectives of the research, single-sample T-test and simple linear regression were used in SPSS25 software environment. The research findings showed that the urban furniture of Bandar Abbas is not in a good condition in terms of fitness and beauty, optimal distribution and citizens' satisfaction with the furniture of Bandar Abbas. The study of research hypotheses showed that urban furniture has a positive and significant effect on the quality of urban environment and its components, ie beautifying the environment, creating a suitable environment for social activities and increasing the vitality of the urban environment.

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Abstract
Historical contexts have rich cultural and cultural resources and are not very important not only because of the existence of valuable historical buildings and spaces, but also because they are real narratives of the life and activities of human beings who have lived throughout life. They lived in them themselves. Today, due to urban development and the blockade of the technology of historical textures, the issue of restoration of cultural and historical textures and the implementation of urban design projects in them has faced a double challenge of the intervention and protectionist approach. According to these two approaches, new constructions and contemporary architecture do not have enough identity to be included in the valuable urban contexts, and the process of burnout has been manifested more rapidly in historical contexts. The need to pay attention to the reconstruction and protection of historical contexts with a comprehensive approach and taking into account the physical, legal, environmental, economic and social dimensions is one of the objectives of the present study. This research has been studied in terms of practical purpose and with a qualitative approach and using content analysis method and to collect the required information and data, documentary studies and field studies have been used. The findings show that the neighborhood is worn out and to recreate the historical core of Qazvin city, the approach of urban revitalization and urban and strategic regeneration strategies is essential in line with the principles of sustainable development.