Multiobjective Optimization and Kinetic Modelling of Anaerobic Baffled Reactor Integrated with Activated Sludge Reactor Treating Pulp and Paper Mill Wastewater

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Abstract Pulp and paper mill wastewater treatment poses a significant challenge due to the presence of numerous refractory pollutants, necessitating the need for effective treatment methods. This study aims at multiobjective optimization of an anaerobic baffled reactor (ABR) combined with an activated sludge reactor (ASR) for pulp and paper wastewater treatment. The optimization approach minimizes the hydraulic retention time (HRT) while maximizing the ABR system's organic loading rate (OLR) and COD and BOD removal efficiency. Optimization efforts identified the optimum conditions for the ABR as an OLR of 6.2 g/L/d and an HRT of 3.2 d. Under these conditions, the remarkable COD removal efficiency of 92% and BOD removal efficiency of 95% were achieved in the ABR, demonstrating the system's robust performance in reducing the pollutant load of the wastewater. The integrated ABR-ASR also exhibited outstanding removal efficiencies for various parameters in the optimum conditions. Specifically, COD, BOD, TSS, turbidity, and color displayed removal efficiencies of 95%, 97%, 92%, 98%, and 92%, respectively. These findings underscore the versatility of the integrated system in addressing a spectrum of pollutants present in pulp and paper wastewater. Furthermore, the rate of substrate consumption was investigated using the modified Stover-Kincannon model. The saturation value constant (KB) and the maximum utilization rate (Umax) values for ABR were found to be 7.95 g/L/d and 5.5 g/L/d, respectively, while for ASR, these values were 0.69 g/L/d and 0.15 g/L/d. This research advances our understanding of the synergistic potential of the ABR-ASR in treating high-strength industrial wastewater.
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Multiobjective Optimization and Kinetic Modelling of Anaerobic Baffled Reactor Integrated with Activated Sludge Reactor Treating Pulp and Paper Mill Wastewater | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Multiobjective Optimization and Kinetic Modelling of Anaerobic Baffled Reactor Integrated with Activated Sludge Reactor Treating Pulp and Paper Mill Wastewater Laleh Mahmoudian-Boroujerd, Ayoub Karimi-Jashni, Sama Azadi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4915943/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 16 Dec, 2024 Read the published version in Iranian Journal of Science and Technology, Transactions of Civil Engineering → Version 1 posted 13 You are reading this latest preprint version Abstract Pulp and paper mill wastewater treatment poses a significant challenge due to the presence of numerous refractory pollutants, necessitating the need for effective treatment methods. This study aims at multiobjective optimization of an anaerobic baffled reactor (ABR) combined with an activated sludge reactor (ASR) for pulp and paper wastewater treatment. The optimization approach minimizes the hydraulic retention time (HRT) while maximizing the ABR system's organic loading rate (OLR) and COD and BOD removal efficiency. Optimization efforts identified the optimum conditions for the ABR as an OLR of 6.2 g/L/d and an HRT of 3.2 d. Under these conditions, the remarkable COD removal efficiency of 92% and BOD removal efficiency of 95% were achieved in the ABR, demonstrating the system's robust performance in reducing the pollutant load of the wastewater. The integrated ABR-ASR also exhibited outstanding removal efficiencies for various parameters in the optimum conditions. Specifically, COD, BOD, TSS, turbidity, and color displayed removal efficiencies of 95%, 97%, 92%, 98%, and 92%, respectively. These findings underscore the versatility of the integrated system in addressing a spectrum of pollutants present in pulp and paper wastewater. Furthermore, the rate of substrate consumption was investigated using the modified Stover-Kincannon model. The saturation value constant (K B ) and the maximum utilization rate (Umax) values for ABR were found to be 7.95 g/L/d and 5.5 g/L/d, respectively, while for ASR, these values were 0.69 g/L/d and 0.15 g/L/d. This research advances our understanding of the synergistic potential of the ABR-ASR in treating high-strength industrial wastewater. Response surface methodology Desirability function Anaerobic/Aerobic treatment Pulp and paper mill wastewater Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 16 Dec, 2024 Read the published version in Iranian Journal of Science and Technology, Transactions of Civil Engineering → Version 1 posted Editorial decision: Revision requested 04 Sep, 2024 Reviews received at journal 04 Sep, 2024 Reviews received at journal 29 Aug, 2024 Reviewers agreed at journal 26 Aug, 2024 Reviewers agreed at journal 26 Aug, 2024 Reviewers agreed at journal 24 Aug, 2024 Reviewers agreed at journal 23 Aug, 2024 Reviews received at journal 21 Aug, 2024 Reviewers agreed at journal 21 Aug, 2024 Reviewers invited by journal 20 Aug, 2024 Editor assigned by journal 16 Aug, 2024 Submission checks completed at journal 16 Aug, 2024 First submitted to journal 14 Aug, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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