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Water
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Membrane Separation and Water Treatment: Modeling and Application
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Membrane Separation and Water Treatment: Modeling and Application

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 582

Special Issue Editors

Dr. Xianghao Ren

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Guest Editor
Department of Environmental Science and Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Interests: MBR process; wastewater treatment and reuse; modeling and simulation of MBR and bioreactor
Special Issues, Collections and Topics in MDPI journals
Dr. Linan Xing

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Guest Editor
Department of Environmental Engineering, Beijing Polytechnic, Beijing 100176, China
Interests: wastewater treatment and reuse
Special Issues, Collections and Topics in MDPI journals
Dr. Jooil Park

E-Mail Website
Guest Editor
Department of Chemical & Biological Engineering, Hanbat National University, Daejeon 34158, Republic of Korea
Interests: energy management; environmental catalytic engineering; chemical filtration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Membrane separation technologies have emerged as a versatile and promising solution for a wide range of applications, including sustainable water treatment, adsorption, filtration, gas separation, energy production, etc. With its high treatment efficiency, high energy efficiency, and small footprint, membrane separation technologies are positioned to realize the carbon-neutral concept of sustainable development. Water treatment and reuse, one of most important issues in membrane separation technologies, are also dealt with in this Special Issue. The results of tradational and advanced technologies in water treatment and reuse are encouraged to submit to this Issue.

This Special Issue of membrane application, entitled "Membrane Separation and Water Treatment: Modeling and Application", is interested in the following areas: (i) the physical, chemical, and biological treatment and reuse of water and wastewater; (ii) modeling for physical, chemical, and biological treatment and the resue of water and wastewater; (iii) adsorption of activated sludge; (iv) chemical filtration; (v) gas separation; and (vi) energy storage and utilization. The authors are welcomed to submit original and review articles concerning the modeling and application of membrane separation and water treatment.

You may choose our Joint Special Issue in Membranes.

Dr. Xianghao Ren
Dr. Linan Xing
Dr. Jooil Park
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water and wastewater treatment and reuse
  • membrane technologies
  • activated carbon
  • adsorption
  • chemical filtration
  • gas separation
  • energy storage and utilization

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Published Papers (1 paper)

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Research

28 pages, 8972 KiB  
Article
Novel Ensemble Learning Approach for Predicting COD and TN: Model Development and Implementation
by Qiangqiang Cheng, Ji-Yeon Kim, Yu Wang, Xianghao Ren, Yingjie Guo, Jeong-Hyun Park, Sung-Gwan Park, Sang-Youp Lee, Guili Zheng, Yawei Wang, Young-Jae Lee and Moon-Hyun Hwang
Water 2024, 16(11), 1561; https://doi.org/10.3390/w16111561 - 29 May 2024
Viewed by 521
Abstract
Wastewater treatment plants (WWTPs) generate useful data, but effectively utilizing these data remains a challenge. This study developed novel ensemble tree-based models to enhance real-time predictions of chemical oxygen demand (COD) and total nitrogen (TN) concentrations, which are difficult to monitor directly. The [...] Read more.
Wastewater treatment plants (WWTPs) generate useful data, but effectively utilizing these data remains a challenge. This study developed novel ensemble tree-based models to enhance real-time predictions of chemical oxygen demand (COD) and total nitrogen (TN) concentrations, which are difficult to monitor directly. The effectiveness of these models, particularly the Voting Regressor, was demonstrated by achieving excellent predictive performance even with the small, volatile, and interconnected datasets typical of WWTP scenarios. By utilizing real-time sensor data from the anaerobic–anoxic–oxic (A2O) process, the model successfully predicted COD concentrations with an R2 of 0.7722 and TN concentrations with an R2 of 0.9282. In addition, a novel approach was proposed to assess A2O process performance by analyzing the correlation between the predicted C/N ratio and the removal efficiencies of COD and TN. During a one and a half year monitoring period, the predicted C/N ratio accurately reflected changes in COD and TN removal efficiencies across the different A2O bioreactors. The results provide real-time COD and TN predictions and a method for assessing A2O process performance based on the C/N ratio, which can significantly aid in the operation and maintenance of biological wastewater treatment processes. Full article
(This article belongs to the Special Issue Membrane Separation and Water Treatment: Modeling and Application)
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