Abstract
Due to the water and energy crises, wastewater treatment systems that are more energy efficient and capable of large volume degradation are a priority. Photochemical decomposition methods have a significant impact on pollutant treatment. The use of these methods in conjunction with a novel designed reactor and hybridization processes can result in considerable treatment results. This research used a fountain system in a UV/H2O2 process to generate a belt-type liquid film with a low thickness and high mixing to remove methyl orange as a model pollutant. The flow rate, H2O2 concentration, temperature, and UV intensity were the parameters evaluated in this series of tests. After 90 minutes under optimum conditions, the maximum degradation of methyl orange was 99.73 percent. The efficiency of the purification process was increased to 99 percent in 75 minutes by using the optimum state of hybridization of UV/US/H2O2 processes. Two deep neural network models and a pseudo-first-order kinetic model were created to fit the experimental data. The results reveal a good fit between the experimental data and the model prediction. The discovered synergistic factor (1.168) and energy yield (2.65 g/kWh) demonstrated the high efficiency of the hybridization process and the outstanding function of the designed system, respectively.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Amir Reza Ghannayi Ghamsari, Bahram Dabir, Nima Esmaeilian, Madjid Moseni, and Abbas Naderifar. The first draft of the manuscript was written by Amir Reza Ghannayi Ghamsari, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Ghamsari, .R.G., Mohseni, M., Esmaeilian, N. et al. Design of a new fountain reactor for contamination degradation using advanced oxidation processes with hybrid techniques and modeling evaluation. Environ Sci Pollut Res 30, 94097–94111 (2023). https://doi.org/10.1007/s11356-023-28491-z
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DOI: https://doi.org/10.1007/s11356-023-28491-z