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The currect study was conducted with the aim of designing and presenting a model of measurement for cultural development in the field of citizens&rsquo innovation and cultual products. The study wasconductedwith objectives in which, indicators and components presented in UNESCO 2000 and Abdi et al. (2015) model of measurement for cultural development were presented to 34 people in the form of a questionnaire in order to test and confirm them. The population for the study consist of all graduate and Ph.D. candiates (in their second or higher years of academic study) in Islamic Azad Univeristy, Science and Reseacrh Branch in Tehran and the Isfahan Branch. Participants were selected by the application of Cochran formula. In order to analyze the data, factor analysis was performed using Lisrel software. Finally, according to the data obtained and after the removal of several primary indicators, the finalmodel of measurement for cultural development was presented for the field of cultural innovation in the form of six main aspects: books, translations, newpapers and magaznines, artistics products, handicrafts and entertainment, and cultural services/activities/products.

A sensitivity analysis of the flood safety of Solaimantangeh dam using a regional climate change simulation is presented. Based on the output of the CCSM (Community Climate Change System Model) general circulation model, the NIRCM (North of Iran Regional Climate Model) computes regional scale output with 50 km spatial resolution and 21 vertical layers. Using the SRES (Special Report Emission Scenario) “B1” Climate Change Scenario when applied to the Tajan river basin, where Solaimantangeh dam is located, NIRCM reduces significantly the bias in Annual Maximum Event total Precipitation (AMEP) & Annual Maximum Daily Precipitation (AMDP) that CCSM shows. The stream flow change scenario is then simulated using SSARR (Stream flow Synthesis and Reservoir Regulation) model. A rainfall-runoff model was implemented using precipitation and temperature projected by CCSM and NIRCM. The model demonstrated that average Stream flow would increases 38.7% and the variability would increases 14.3%. This remarkable increase in projected annual maximum flow for the next 20 years (2004-2023) should be a significant negative signal to water resources managers. The results indicate that the number of floods remains almost the same, but that the magnitude of a single flood event and the recovery from it become worse.

In this article, it has been tried to analyze the mental satisfaction of the quality of life in different regions in terms of objective development. For this purpose, districts no. 3, 6, and 9 of Mashhad city which through the measures of education, income, and employment were respectively among the deprived, the average, and the privileged regions were selected as the case study areas. Moreover, to measure the mental satisfaction of the local people of the quality of life, a questionnaire considering three basic dimensions of quality of life, i.e. economic, environmental, and physical sustainability (residential environment, the quality of these infrastructures) was designed. The sample size equals 385 people who according to the population of study area were divided into clusters. The research findings showed that there is little or no significant difference between these districts in terms of the desired measures, so that in terms of economic issues, the district no. 9 had a better condition than the other two. There was no significant difference between the districts no. 3 and 9. Regarding satisfaction of the quality of housing and infrastructure, the inhabitants in the district no. 6 showed less satisfaction than others. In this regard, no significant difference was observed between the districts no. 3 and 6; however, regarding satisfaction of the environmental situation, there was a significant difference between the districts no. 3 and 9, whereas the district no. 6 was an exception. Generally, the district no. 9 in Mashhad has a better condition in terms of objective development, social status, and quality of mental life. In contrast, regarding these indices, the district no. 3 is among the poorest regions, so in terms of quality of mental life is in a average state. Yet, the district no. 6 due to its development and the middle social status has a less unfavorable condition in terms of the quality of life.