pegah amiri

Humans are based on a communicative nature and the foundations of social networks are also based on strengthening and revitalizing a communication space. Considering the pervasiveness of virtual space and the increasing number of its users and the lack of space and time limitations, and considering that the "Emergence Age", the era of scienceAnd thought is progress and growth, fast and universal communication; Therefore, the unique capacity of virtual space, especially social networks, should be used efficiently in order to propagate and promote the teachings of Mahdism for the emergence of the global Mahdavi civilization, and this is important, it is only possible with knowledge The exact positive and effective performance of virtual space in the emergence of global Mahdavi civilization such as; Identifying and introducing a true savior to humanity, Mahdavi future research and spreading the culture of waiting, explaining the duties of those who wait, religious propaganda, answering the doubts of Mahdism... which we will pursue in this research with a descriptive-analytical method.

A comparative kinetic study of photocatalytic degradation of textile wastewater by UV/TiO2 and UV/ ZnO for removal of chemical oxygen demand (COD), and color was carried out. The effects of some parameters such as the initial concentration of catalyst, initial COD concentration and light intensity on the photocatalytic process were also examined. It was demonstrated that the COD removal by TiO2/UV and ZnO/UV was about 49 %, 33.3 %, and color removal was 30 % and 10 %, respectively. The experiment demonstrated that the photo-degradation efficiency of TiO2 was significantly higher than that of ZnO. On the other hand, the kinetic study shows that decomposition of chemical oxygen demand follows a first-order for processes. The rate of degradation is highly dependent on the initial concentration of TiO2, ZnO and light intensity. A comparison between experimental and calculated degradation rate constants shows that TiO2/UV process gives better results than photocatalytic treatment. Maximum degradation rate was achieved for TiO2/UV at optimum concentrations of TiO2.

In this study, ozone combination with a sequencing batch reactor was tested in laboratory scale for treating a soft drink wastewater characterized by high concentrations of chemical oxygen demand (COD). A bench scale aerobic sequencing batch reactor (SBR) is carried out by two stages. The system was operated under three different mixed liquid suspended solids (MLSS) concentrations (3000, 4500, 6000 mg/l). The results show that the integrated ozonation with biological process was able to achieve high removal efficiencies for chemical oxygen demand (COD), with residual concentrations much lower than the current discharge limits. Also, the process was characterized by a very low MLSS concentration. Hence, the ratio between ozone dose and the COD removal was 0.72, indicating that the removed COD was higher than the dosed ozone. Artificial neural networks (ANN) was also employed to model the COD data obtained. A network consisting of two layers of five neurons in the hidden layer was considered. Regression coefficient between experimental data and data predicted by neural networks and root mean square error (R2, RMSE) obtained 0.991, 80.36, respectively. Very low error in the network estimation confirmed validity of the obtained networks for further analysis and optimization.