Dosage Control of the Fenton Process for Color Removal of Textile Wastewater Applying ORP Monitoring and Artificial Neural Networks

摘要

Textile wastewater containing a high level of color and refractory chemical oxidation demand u0001CODu0002 is difficult to treat usingntraditional wastewater treatment processes. Typically, a chemical process was suggested as a pretreatment to remove color and increasenbiodegradability of refractory organic materials. A biological process was then used to remove organic materials and reduce chemical costsnfor textile wastewater treatment. Fenton oxidation is one of the most effective chemical processes for removing color and COD for textilenwastewater. In Fenton processes, oxidations by generated hydroxyl radical are the key factor for color removal in textile wastewaters;nthus, monitoring oxidation reduction potential u0001ORPu0002 should have high potential in Fenton dosage control for color removal in textilenwastewater treatment. The main object of this study is to build a Fenton dosage control strategy that uses ORP monitoring and artificialnneural network u0001ANNu0002 models for removing color from textile wastewaters. Two wastewaters, synthetic and real textile, were used in thisnstudy. Experimental results have shown that the ANN models precisely represent the correlation between monitoring ORP, Fenton doses,ncolor removal efficiency, and effluent color value, and therefore can be used to control Fenton doses for removing color from textilenwastewater. Finally, another series of Fenton dose-control experiments for different color removal control targets were conducted tonevaluate this proposed Fenton dose control strategy. Experimental results indicate that the proposed control strategy precisely controls thenrequired Fenton doses for different control targets for both synthetic and real textile wastewaters, and result in reduced chemical costs.