Sorption of ammonium by fibrous sorbent VION KN-1

The results of studies of the sorption extraction of ammonium ions from aqueous media by the fibrous sorbent VION KN-1 are presented. Weak acid ion exchange fiber. It has been established that the limiting step in the process of ammonium ion sorption is internal diffusion. The kinetic parameters of the sorption process are calculated, with the identification of a decrease in the half-sorption time and an increase in the internal diffusion coefficient. The applicability of the Langmuir and Freindlich models for describing the experimental isotherms of ammonium ion sorption by fiber has been studied. Certain constants and parameters. Through the appearance of regression coefficients, R2 showed that the Langmuir model better explores experimental data on the sorption of ammonium ions by a fibrous sorbent. A study of sorption in media was carried out. According to the curves of the dependence of the degree of extraction on the concentration and on the depth of the missed solution, it was found that with a decrease in concentration in the dynamic sorption mechanism, the reduction characteristics do not decrease, which makes their use reduced in the purification of dilute solutions containing ammonium ions. At a low concentration of ammonium ions in the initial solution, the degree of extraction is more than 93%. To predict the extraction of ammonium ions from wastewater, an increased concentration of neural packages of STATISTICA application programs was used. The input parameters for studying the neural network were chosen: the concentration of ammonium ions, the volume of the solution passed through the sorbent layer, and the weight of the sample of fibers. The output parameter is the degree of extraction of ammonium ions. The trained MPL-3-5-1 neural network has high coefficients of determination for the training, test and control samples, which gives a high estimate of the network performance and can predict the degree of extraction of ammonium ions by the fibrous sorbent VION KN-1..