In this project government endow loam to villagers for improving their houses. This project help to villagers for improvement their life and it help to villagers for preparation for sudden hazards. Improvement rural houses project improve quality of life villagers. Therefore, this project presents for resolving problems and challenges that improvement rural houses project confront with them. Investigative method was descriptive-survey and we used from questionnaire for collecting data. Statistical society includes 50 people that we used from census method for sampling method. Statistical method was technical supervisors in Kermanshah County.  Reliability calculated by alpha Cronbach method that equal 0.72 and validity calculated by K.M.O and Bartlet method that equal (K.M. O=74/0) and Bartlet significant equal (0.0).  But technical supervisors have positive attitude about housing foundation of Islamic revolution performance. They were satisfaction from workshops and upstream supervisors in housing foundation of Islamic revolution of province of Kermanshah. Results shows that there is relationship between distance village from city and quality of building materials quality. Also, there is relationship between knowledge of people about project and time periods. It shows that knowledge people increase. Finally, by factor analysis we understand that there are 5 components that effect on improvement rural houses projects that include: dimension of individual people and technical supervisors, attitude of people to improvement rural houses projects, life quality and improvement in life style, challenge in law and discipline and time of project. They explain 65.85% of total of variance. Also, the findings show that there is a meaningful and reverse relationship between the beginning of the technical observer's period and the amount of his attention to the consciousness of the people at the level of 0/05. Meanwhile, people's awareness has increased over time.

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).