Comparison between industrial and simulated textile wastewater treatment by AOPs – Biodegradability, toxicity and cost assessment

Advanced oxidation processes based on zero-valent aluminium for treating textile wastewater

The balance between economic development and environmental damage is also evident in the problem of pollution and waste management. Increased economic activity, mainly in industrial countries, has ...

Green synthesis: Photocatalytic degradation of textile dyes using metal and metal oxide nanoparticles-latest trends and advancements

Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEP.

In the last 3 years alone, over 10,000 publications have appeared on the topic of dye removal, including over 300 reviews. Thus, the topic is very relevant, although there are few articles on the practical applications on an industrial scale of the results obtained in research laboratories. Therefore, in this review, we focus on advanced oxidation methods integrated with biological methods, widely recognized as highly efficient treatments for recalcitrant wastewater, that have the best chance of industrial application. It is extremely important to know all the phenomena and mechanisms that occur during the process of removing dyestuffs and the products of their degradation from wastewater to prevent their penetration into drinking water sources. Therefore, particular attention is paid to understanding the mechanisms of both chemical and biological degradation of dyes, and the kinetics of these processes, which are important from a design point of view, as well as the performance and implementation of these operations on a larger scale.

https://www.mdpi.com/1420-3049/26/4/870/pdf

Recent Achievements in Dyes Removal Focused on Advanced Oxidation Processes Integrated with Biological Methods

http://www.scielo.org.mx/pdf/jart/v15n4/2448-6736-jart-15-04-340.pdf

Dye decomposition by combined ozonation and anaerobic treatment: Cost effective technology

This study evaluated the efficiency of ozonation for removal of color and chemical oxygen demand (COD) of Congo red, as an anionic dye was selected due to the complex chemical structure with di-azo aromatic group and extended application in the textile industry. The effect of ozonation time on the rate of COD removal, mineralization and rate of decolorization were studied and the result was analyzed in terms of COD and color removal efficiency. Intermediate and final by-products formed during ozonation were identified by ion chromatography (IC). Dye decomposition rate was observed by UV–vis spectroscopy. The removal of COD and color of Congo red by ozonation was performed in a batch reactor with constant ozone flow rate and concentration of 5 g/hr and 55.5 mg/L, respectively. Dye concentration was 1,500 mg/L. Decolorization and degradation of dye sample were carried out with a certain time interval and analyzed immediately. The COD and color removal efficiencies increase at specified time of ozona...

Decolorization and mineralization of C.I. direct red 28 azo dye by ozonation

In this study, standard penetration test dependent bore-log charts of different boreholes were collected for selected locations in order to prepare the datasets. Datasets were applied to the Idriss and Boulanger method to evaluate liquefaction potential. Complete datasets were used for development of neural network and neuro-fuzzy models. Feed forward backpropagation algorithm with a multilayer perceptron network is utilized to analyze the liquefaction occurrence in different locations. To meet the objective, 159 sets of geotechnical data were collected, out of which 133 datasets were used for development of models and 26 datasets were used for validation. Neural network models were trained with six input vectors by optimum numbers of hidden layers, epoch, and suitable transfer functions. Neuro-fuzzy models have been developed using the Takagi–Sugeno–Kang reliant approach. The predicted values of liquefaction potential by artificial neural networks and neuro-fuzzy models were compared with an empirical method i.e., Idriss and Boulanger method. The compared values of liquefaction potential obtained by neural network and neuro-fuzzy models shows that trained artificial neural network models' prediction capability are better than that of neuro-fuzzy models.

Appraisal of liquefaction potential using neural network and neuro fuzzy approach

This study refers to the prediction of liquefaction potential of alluvial soil by artificial neural network models. To meet the objective 160 data sets from field and laboratory tests were collected for the development of ANN models. Initially these data sets were used to determine liquefaction parameters like cyclic resistance ratio and cyclic stress ratio by Idriss and Boulanger method to identify the liquefaction prone areas. Artificial neural network models were trained with six input vectors by optimum numbers of hidden layers, epoch and suitable transfer functions. Out of 160 data sets, 133 data sets were used for development of models and 27 datasets were used for validating the models. The predicted values of liquefaction potential by artificial neural networks models have been compared with Idriss and Boulanger method, which exhibits that trained artificial neural networks models are capable of predicting soils liquefaction potential adequately.

/pdf/application-of-ann-to-predict-liquefaction-potential-53wnqxw324.pdf

Application of ANN to Predict Liquefaction Potential

The efficiency of ozonation for the removal of color from textile azo dye solution containing Acid Red 14 by ozone was studied. The effect of ozonation time on the decolorization of azo dye has been examined, and the results were analyzed in terms of color removal efficiency. The high color removal efficiency of 93% was obtained after 25 min of ozonation. The effect of buffer solution on the ozonation was also studied, and the results demonstrated in terms of treatability effect for the removal of color from azo dye solutions.

Ozonation for Degradation of Acid Red 14: Effect of Buffer Solution

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