Abstract

With the industrialization of various countries around the world, pollution increased rapidly. As a result, pollutants arrived water resources and affected its quality. Therefore special attention has been paid to wastewater degradation in the last decade, nationally and internationally. By increasing the demand for industrial, pharmaceutical, food, and textile products worldwide, the factories produced more wastewater along with more production. Thus these industries have become one of the main sources of pollution around the world. For this reason the depletion and elimination of various pollutants, such as colored compounds from industries, are very important. As a result, the discharge of colored effluents into water sources is forbidden. But conducting experiments to find methods to control wastewater degradation requires time and the consumption of expensive materials. Also, by increasing the number of factors, the cost and time increase exponentially. Therefore a method should be used in which the most information about the process can be obtained in the least cost and time, logical conclusions can be drawn, and documentary evidence about the process can be obtained. Also, according to the results, no particular distinction was found between predicted and experimental data and results can be expressed reliably. The design of the experiment technique (DOE) is one of the techniques to improve wastewater degradation quality. Proper use of statistical testing design methods can facilitate the design, optimization, and pollution control stages and reduce the number of tests. This chapter of the book deals with these issues. Overall, however, there have been few studies, in which the types of optimization of process conditions have been studied together, in order to show that types of simulation model for wastewater degradation process.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call