The purpose of this study is to determine and predict the effects of climate change on architecture using climate models. By clarifying the consequences of the impact of urban architecture on climate change while using the data of surrounding stations with library and field data methods. The climatic parameters of precipitation, temperature and relative humidity of the synoptic station of Miyaneh city during a full period of 32 years (2018-1987) and the possibility of climate change with the models in this city were examined and after obtaining the relevant data Climate change was predicted for the next 84 years through the GCM and SDSM microscale and the AR4 (2007) - HADCM3 (Run 1) - SR-A2 scenarios. In order to evaluate the effects of climate change on the comfort climate of the region, among the bioclimatic models used, the Tarjong model was considered for two periods of 16 and 42 years. In the next 84 years, compared to the last 32 years, the cold months of May, June, July and August will turn into pleasant heat, and in September, the heat will have a great impact on the skin, which indicates a warm climate in the next 84 years. Architectures must be considered.

Understanding the main components of the watershed water basin and analyzing their hydrologic behavior are among the key components of any planning and management procedures in the field of water resources engineering. Today, the need to use modern technologies in hydrological modeling of watersheds has been discussed more than before. The purpose of this study is the simulation of hydrological components in various land use categories in the catchment area of the Dez river basin. Since the tool used in the research is the SWAT model and the SUFI-2 algorithm, the database used include a range of input data. In order to determine the level of sensitivity of the model to the input parameters, global sensitivity analysis was performed. Then, by adjusting the selected parameters and using the observation current, the model was calibrated and validated for the periods 2007 - 1994 and 2013 - 2008, respectively. The coefficients of NS, R2, P-factor and R-factor confirmed the model's ability to simulate river flow in the studied basin. The results of the model showed that the areas with forest use share the highest contribution to aquifer nutrition, and the barren lands have the highest surface runoff. Surface runoff has the leading role in creating the main stream of the river and after that the main flow has been effective in this area. The forest use change to Agricultural lands and pasture will change the hydrological parameters of the basin, and the result of these changes will lead to the increase in the surface runoff, the reduction of nutrition of groundwater resources and the reduction of river basin water. The SWAT model can be used as a precursor model in watershed management studies.

Housing as one of the basic human needs a significant impact on the health and improve the quality of life of individuals. The quality of housing as one of the main foundations of a comprehensive program and a necessary tool for expressing the various dimensions of economic, social, cultural, environmental and physical development of sustainable, has a special place in urban planning. The purpose of this study is to analyze the spatial quality of housing quality in urban neighborhoods in central Zanjan city. The type of research is applied and descriptive-analytic in nature. The information gathering method was used by the library method (set of statistical blocks of 1395 and detailed plan of 1394). Combined methods of the Tedim model and the geographic information system are used to analyze the data. The results of the research show that inequalities are found among the middle areas of Zanjan city. In the residential areas, 18.91% of the low-quality housing, including the besim neighborhoods, ghabrestan balla, Vahdat, Khatam, Amadgah, Goljak Abad, 21.80% of the dwellings The relatively low quality of the ashaghi gabristan, the shahada, Meydan enghelab , alley waliasr, Niksazan, 22.71% of the average quality housing, including the district of the Forodgah, Rajaee Town, Amjadiyeh, Najaem, Qadas, Fateh, 17.43% of the relatively high quality housing Which includes eastern Ansariyah, Vahidieh, Shoghi, 17  Shahrivar, shahada masged, Goniyeh, Ja'fariyah and ultimately Lots of Azadi, Ansarieh, Etemadieh, Black Alley, North Saadi 19.15% of the houses are of high quality.

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.

The goal of this research is studying the effect of recent climate changes, espeeially heat rise on the amount of effective  rainfall in the lorestan peovince. Effective rainfall is the amount of fall which, after evaporation, is absorbed in the ground. in the ground.in USDA method and the us agriculture, the amount of rain abstorbed in a growth perlod of a plant and available for its consumption is called effective raifoll. The results showed that the amouent of rainfall in the first period is more than that of the second. The frequency of raining days got reduced  in the after-climate- change period. Heat got increased in the second period. Evaporation was more in the second period. Relation humidity got decreased in the second compared to the first period, and wind speed increased by studying the process of the data changes, it became evident that climate change leads to the increased inconsistent rainfalls in the studied climate variables indicate that under the effect of climate change , Based on Vibol method, droughts caused by effective rainfalls were calculated, and the probability of effective rainfalls in 5 time periods was accounted for. It was shown that in the years 1369 to 1396, effective rainfall in the region was scarce, so it was very influential. With Dobif Model, effective rainfall was analyzed, and years with the least effective rainfall for dry farming with positive signal, that is, appropriate conditions, and negative, that is, inappropriate conditions were recorded. Based on linear coefficient, rainfall trends in the three stations of Khorramabad, Aligudarz and Borujerd. Geographical distribution analysis of   effective rainfall showed that in the south and south-east of the province, the coefficient of effective rainfall was more than the rest of the province. This coefficient was decreasing when it comes to the south-west of the province. Effective rainfall decrease was more due to increasing evaporation happening in this part. the effective rainfall in the studied region got decreased, therefore, preserving underground water resources, on which natural life depend, should be considered more than ever.

In this research, we are trying to determine the “beginning time” as well as the “end” of the climatic seasons; and we will focus on identifying the displacement of these dates, which is influenced by the “climate changes” and “descriptionAbstract
The purpose of this study is to investigate possible changes and displacements in Iran's climatic seasons due to climate change. To do this, temperature, relative humidity, water vapor, wind and cloud data for 36 stations were received from the Meteorological Agency over 40 years. The data were divided into two 20-year series to allow comparison. Daily temperature data for each clustering time series were determined, then by considering 7-day sequences, the beginning and end of the seasons. The designated times were tested using the Rayman model. The results of comparing the seasons in the two time series indicated that in all stations, changes in climatic seasons occurred from Insignificant to significant. Climatic seasons in Iran do not correspond to calendar seasons, and climate change, especially temperature changes in recent decades, has caused the seasons to shift and shorten and lengthen. Although the beginning and end of the seasons do not generally correspond to their calendar dates, most of the days of these seasons occur in its calendar periods. The changes that have taken place have not only affected the length of the seasons, and these shifts have also changed the quality of the natural seasons.
Keywords: Climate change, natural seasons, cluster analysis, Rayman model of the qualitative conditions” created in them, compared to the past climatic periods. “Meteorological Organization” data has been used in this research. Forty years of received data, was divided into two groups of 20. Applying SPSS, each group was divided into four stages representing each seasons. From these stages, the beginning time and the end of seasons were determined and the accuracy of the obtained dates was controlled with the comfort indicators of the Rayman model. The results of the comparison of seasons in two time series indicated that, the changes occurred in natural seasons from an almost non-existent one in all stations. Climatic seasons in Iran are not compatible with the summer season and climate change, especially the change in temperature in recent decades, has caused changes and shortening of seasons. Most of the days in these seasons occur during its monthly periods, although the beginning and end of the seasons generally do not match their calendar dates. Changes have not only affected the duration of the season, and these changes have also led to a change in the natural quality of the season.

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.

Urbanization and urban growth as a global phenomenon have affected all the countries of the world. Ahvaz city has seen its diverse body tissues throughout its lifeless life. Over time, land use in Ahvaz city has undergone a lot of changes due to the presence of factors and forces that has been unfavorable and has affected agricultural land so much. The main objective of this research is to investigate the physical development of Ahvaz city. This research is applied in terms of nature and descriptive-analytical in terms of methodology. In order to achieve this goal, firstly, the physical expansion in the city of Ahvaz was reviewed in the comprehensive plan approved in 2010, and then 14 indicators were extracted to study the optimal development of Ahvaz city development, which were standardized using Fuzzy Logic (FUZZY) Continued for the optimal model using the ANPDEMATEL combined analysis model. Three levels for the expansion of this city have been identified in combination with OVERLAYFUZZY and GAMA/ 0 in the GIS environment, the output maps were also extracted using the ENVI and ARCGIS software. The results showed that at the level of predictive models of agricultural land with weights of 0.101 and 0.118, the most important factor has been changed in the process of physical expansion of the Ahvaz city. Also, using the map of physical expansion in the year 2010 and the outline map of the level of physical expansion in this study showed that the physical expansion of the Ahvaz city is not consistent with the comprehensive plan approved in 2010.

General circulation of Persian Gulf has a cyclonic pattern that affected by tide, wind stress and thermohaline force. Although tidal force is very effective in values of current speed, but thermohaline force is dominant in long time because tidal forcing has a short period and returning nature. Tide and density parameters are important in navigating and shipping, especially when ships approaching the shore and shallow water to determine the drainage of them. In this study using the Mike model based on the three-dimensional solution of the Navier Stokes equations, assumption of incompressibility, Boussinesq aproximation, and hydrostatic pressure, Persian Gulf circulation modelled. After model stability, the effects of tidal force on horizontal and vertical distribution of density were investigated. Results show that forcing of tide caused current direction be regular and without tidal force, wind stress dominates on isopycnal and turbulent pattern forms in sea surface layer especially in cool season. Also, with the elimination of the tide effect, the velocity of current is reduced to 75% and the water density is increased to 1-2 kg/m³. Density profile show that the Persian Gulf is a baroclinic environment and it is stronger in cool season relative to warm season. The impact of forces is not the same in different regions of the Persian Gulf, so that the effects on the change in density in the Strait of Hormuz are more perceptible and moving inward to the Gulf, the intensity of its effect is reduced.

Cities are a place of accumulation of material and spiritual capital of humanity, which is of great importance. This type of settlement, with more than 50 percent of the world's population in it, has become more important in recent years and has been considered for the maintenance of principled and sustainable management of all types of planning. One of these plans has been the resilience of cities. Resilience to the threats and potential hazards that affect it when it occurs.   The concept of resilience has been proposed and discussed in various dimensions and levels. In this research, emphasis is placed on the physical dimensions of urban Resilience. The purpose of this study is to assess the resilience of the 1st district(zone) of Tabriz city against earthquake, which is analyzed using the Fuzzy AHP model. The 8 criteria, include the distance From relief centers, the distance from the centers of harm, the building materials, the quality of the building, the time of the building, the distance from the network of roads, the distance from the green and open spaces and the distance from the fault, is the base of analysis. After preparing the layer for each criteria, Fuzzy layers are extracted using fuzzy functions. Using the SUM, AND, GUMMA operators, the final layers were generated, which was evaluated using the Band Collection Statistics tool, the gamma layer 0.9 was selected as the best output. based on the scenario of gamma 0.9 in the study area, about 26% of the area has very low and low resilience. In contrast, more than 22% of the range is moderate and 51% of the area have a high resilience.

So far, several models have been proposed for estimating different climate parameters, but due to the lack of valid and long-term data in some meteorological stations, some models have been difficult to use. The SIMETAV V.1.0 model has been developed in cooperation with the University of California Davis and the Water Resources Authority of California in 2005. The SIMETAW model is a new and innovative tool for the estimation of applied water evapotranspiration (ETAW). SIMETAW simulation model is presented to estimate potential evapotranspiration and also estimate the net amount of water required for irrigation (ETaw). In addition, using this model, you can simulate daily meteorological data from meteorological data. The simulation of daily weather information where there are only monthly averages is a great tool for filling out lost data. In this research, Simetaw simulation model predicts different climate parameters such as solar radiation, minimum and maximum temperature, wind speed, dew point, precipitation and evapotranspiration potential in four different semi-arid climate zones (Mashhad). Dry (Bandar Abbas), moderate and humid (Ramsar) and Mediterranean (Sanandaj) during the years (1967-2017). The results of these studies showed that SIMETAW model has high ability to simulate climate variables and has the highest model accuracy in precipitation simulation (R2 = 0.998) and maximum temperature (R2 = 0.997) for semi-arid climate (Mashhad) , Dew point (R2 = 0.998) for temperate and humid climate (Ramsar), for radiation (R2 = 0.998) and wind speed (R2 = 0.9) for Mediterranean climate (Sanandaj) and minimum temperature (R2 = 0.998) for warm and dry climates (Bandar Abbas).