Designing a model to reduce air pollution in order to increase the security of metropolitan areas with the approach of nanotechnology (Case study: Tehran)

the environmental pollutions and their security risks have become major threats to human health. Nanotechnology is one of the methods to overcome this problem. The purpose of this study is to investigate the design of a model for reducing air pollution in order to increase the security of metropolitan areas with a nanotechnology approach in Tehran. This research is descriptive-calibration and it is based on the purpose of applied research, qualitative analysis, and content analysis themes. In the qualitative section, the statistical population of this research consists of 18 experts, university professors and activists in the fields of urban management, political geography, nanotechnology, and environment. They were interviewed in a semi-structured manner and all questions were related to the subject in a framework to understand the main question of this research. In the quantitative section, due to their infinity, Cochran formula and Morgan table were used to determine the appropriate number of sample individuals representing the statistical population. according to the Cochran formula and Morgan Table, 384 activists and experts in the fields of urban management, political geography, nanotechnology, and environment were selected. The studied variables are air pollution, nanotechnology, and security. SPSS25 and SMARRTPLS2 software were used for data analysis. According to the research results, a model of reducing air pollution based on nanotechnology is presented in order to increase security extracted by statistical samples. The main criteria such as Average Variance Extracted (AVE), Compositive Reliability (CR), coefficient of determination (R2) and RMSEA showed that the extracted final model has a suitable fitness.