Climate change impacts are very dependent on regional geographic features and local climate variability. Impact assessment studies on climate change should therefore be performed at local or at most at the regional level for the evaluation of possible consequences. However, climate scenarios are produced by Global Circulation Models with spatial resolutions of several hundreds of kilometers. For this reason, downscaling methods are needed to bridge the gap between the large scale climate scenarios and the fine scale where local impacts happen. A stochastic weather generator, however, can serve as a computationally inexpensive tool to produce multiple-year climate change scenarios at the daily time scale which incorporate changes in both mean climate and in climate variability. In paper, LARS-WG model were used to downscale GCM outputs and then assessment of  the performance were done for generated daily data of precipitation, minimum and maximum temperature and sunshine hours. Study area is Ghare-su basin in Gorgan and the station is called Gorgan synoptic station. The first step is running the model for the 1970-1999 period. Then mean of observation and synthetic data were compared. T-test was used in the 95% significance level, and the difference between observation and synthetic data was not significant. Finally monthly mean of observation and synthetic data were compared using Statistical parameters such as NA, RMSE & MAE. As  a final result, it is found that performance of model is appropriate for generating daily above listed data in Ghare-su basin. So, it is possible to predict the climatic parameters from GCM output using LARS-WG model. Also minimum and maximum temperatures have highest and sunshine hours have lowest correlation.

In order to compete in the international arena, cities attempt to enhance their infrastructures to encourage innovation. In all successful and innovative cities, there are three effective levels including creative people, urban organizations (which act as mediator), and national and international companies. In fact, these intermediate organizations play the role of an interconnector between creative people with new ideas and national and international companies (for commercializing new and creative ideas and having economic development). The purpose of this research is to predict the future of Mashhad and propound related scenarios about the relation between the three above-mentioned levels in vision 1404, and finally develop the strategies required for achieving the desirable scenario of innovative city formation in Mashhad. This is a fundamental applied research in terms of purpose and descriptive-analytical (consecutive mixed method) in terms of nature and methodology, which has used scenario-planning in six steps. Data were extracted using questionnaire and semi-structured interview. After analyzing the data, four scenarios were planned, and finally the scenario of the golden city was selected as the desirable scenario and several strategies were suggested for achieving such a scenario.

Changes in temperature, rainfall and precipitation type organisms may be life threatening, therefore it must be studied from different aspects. The purpose of this study was to investigate changes, using random data generator LARS-WG5 in the period 2008-1981 on the one hand and to detect and predict future changes in these variables between 2011 and 2030. Using the results of this research can be reduced negative impacts of climate change in the region. And more compatible with the new conditions, particularly in terms of culture, cultures and other measures and environmental management products provided. The required data from the General Directorate of Meteorology Gilan produced and became a model format. After calibration, and evaluation of past data, survey data and the data of the previous model in the future to produce the data, the model was implemented. Study showed that average minimum and maximum temperatures predicted by the model MPEH5 by considering three scenarios, the trend is all months that It confirms the results of the three scenarios. About the average annual rainfall, the results of the model with the A1B scenario shows better serve the increasing 3.2mm. The distribution of rainfall has changed compared to the baseline. The highest rainfall in autumn and winter and summer, with average rainfall of 43.51mm faces fall. The study emphasizes that the minimum and maximum average temperature is projected to increase in all seasons and Changes in precipitation and reduced summer precipitation 43.51mm, the water resources of the region at stake. These changes reduce the amount of freezing rain and snow line altitude increases, reduced water supply in the area of agriculture is one of the poles.

Climate change is one of the most important challenges of this century. The maximum and minimum temperatures and precipitation were predicted for the intermediate future (2046- 2065) and distant future (2100- 2080) by statistical downscaling outputs of HadCM3 model under emission scenarios shows average of the mean temperatures will increase in the range of 1.5 to 2.1 °C in the next 50 years (20-year average of the intermediate future) and 2.4 to 3.9 °C in the next 100 years (20-year average of the distant future) compared to the base periods. According to the results of this study, drought is one of the most serious future crises in the country, which if not addressed, will threaten Iran's future in various aspects.

In the midst of environmental hazards, earthquakes destroying buildings and urban infrastructure, it causes a great deal of damage to property and property in and around urban areas. Facing this situation, developing resilient communities is the most appropriate strategy to deal with the earthquake crisis. The first step in a principled and conscious planning of creating resilient communities, measuring the resilience of urban structures against possible earthquakes. Therefore, the present study aimed to evaluate the physical resilience of district 6 of Tehran against various earthquake scenarios. Ten effective criteria were used to measure 46 sub-criteria that were effective in physical resilience of the area. The research method is descriptive-analytical with practical purpose. To Analyze the Relative Weight of Criteria and Sub-Criteria of Network Analysis (ANP) and for designing earthquake scenarios at different intensities Fuzzy method and Dµ model in GIS environment were used. The results of the study showed that In earthquake of six magnitude 12.36% of total structures in the region Most located in one district municipality (Iranshahr neighborhood) and 2 district municipality (Nosrat neighborhood), They have little resilience to earthquakes. In Richter earthquake of seven, 55.24% of structures in the region have low resilience and 17.69% of structures have very little resilience to earthquakes. In the Eight earthquake of eight, with increasing earthquake intensity, 23.06% of structures in the region have low resilience and 53.31% of structures have low resilience. Most of these structures are located in district 6 of Tehran city in district 1 (Iranshahr and Valiasr neighborhood), 2 (Nosrat neighborhood), 3 (Behjat Abad and Ghaem neighborhoods), 4 (Fatemi neighborhood) and 5 (Argentina neighborhood).